Split (1)

train · ~22.9M rows (showing the first 137k)

query stringlengths 7 33.1k	document stringlengths 7 335k	metadata dict	negatives sequencelengths 3 101	negative_scores sequencelengths 3 101	document_score stringlengths 3 10	document_rank stringclasses 102 values
Test of logLikelihoodCorrelationMatrix method, of class MarkovModelUtilities.	@Test public void testLogLikelihoodCorrelationMatrix() { IDoubleArray corr = null; IDoubleArray C = null; MarkovModelUtilities instance = new MarkovModelUtilities(); double expResult = 0.0; double result = instance.logLikelihoodCorrelationMatrix(corr, C); assertEquals(expResult, result, 0.0); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.correlation(M, observable1, observable2, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testLogLikelihood()\n {\n IDoubleArray T = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihood(T, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.matthewsCorrelationCoefficient(5);\n assertEquals(0.0, double0, 0.01);\n }", "@Test(timeout = 4000)\n public void test033() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.matthewsCorrelationCoefficient((-2935));\n assertEquals(0.0, double0, 0.01);\n }", "@Test\n public void testFingerprintCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintCorrelation(M, observable1, observable2);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void testXYLineRotation() {\n b = 1; // A line along y=1 and z=0.\n u = 1;\n theta = 2pi;\n double[] point = new double[] {1, 2, 0};\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n double[] result = rM.timesXYZ(point);\n double[] expect = new double[] {1, 2, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(expect[i], result[i], TOLERANCE);\n }\n\n theta = pi;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n //rM.logMatrix();\n result = rM.timesXYZ(point);\n expect = new double[] {1, 0, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = pi/2;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n //rM.logMatrix();\n result = rM.timesXYZ(point);\n expect = new double[] {1, 1, 1, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = -pi/2;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(point);\n expect = new double[] {1, 1, -1, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = pi/4;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(point);\n expect = new double[] {1, 1+Math.sqrt(2)/2, Math.sqrt(2)/2, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n }", "@Test\n public void testAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.autocorrelation(M, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test168() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n int[] intArray0 = new int[1];\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n doubleArray0[0] = (double) 0;\n doubleArray0[1] = (double) 2;\n doubleArray0[2] = (double) 0;\n doubleArray0[3] = (double) 1;\n doubleArray0[4] = (double) 2;\n doubleArray0[5] = (double) 0;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(216);\n assertEquals(\"i\", string0);\n \n int[][] intArray1 = new int[8][0];\n intArray1[0] = intArray0;\n intArray1[1] = intArray0;\n intArray1[2] = intArray0;\n intArray1[3] = intArray0;\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.toStringRanking();\n resultMatrixPlainText0.getDefaultRemoveFilterName();\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n }", "public void useCorrelationMatrix(){\n this.covRhoOption = false;\n }", "@Test(timeout = 4000)\n public void test028() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(0, 16);\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(16, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(16, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int int0 = 2298;\n resultMatrixHTML0.setRowNameWidth(2298);\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2298, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(16, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(16, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setRowNameWidth(1);\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(16, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(1, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(16, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n boolean boolean0 = resultMatrixHTML0.getShowAverage();\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(16, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(1, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(16, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean1 = resultMatrixPlainText0.isSignificance(16);\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean1);\n assertTrue(boolean1 == boolean0);\n \n int int1 = resultMatrixHTML0.getColCount();\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(16, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(1, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(16, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int1);\n assertFalse(int1 == int0);\n \n ResultMatrixHTML resultMatrixHTML1 = null;\n try {\n resultMatrixHTML1 = new ResultMatrixHTML((-1157), 5);\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "public void testRotationMatrix() {\n\n u = 1;\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n // This should be the identity matrix\n double[][] m = rM.getMatrix();\n for(int i=0; i<m.length; i++) {\n for(int j=0; j<m.length; j++) {\n if(j==i) {\n assertEquals(m[i][j], 1, TOLERANCE);\n } else {\n assertEquals(m[i][j], 0, TOLERANCE);\n }\n }\n }\n }", "@Test(timeout = 4000)\n public void test131() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixLatex0);\n resultMatrixLatex0.setMeanWidth(1);\n resultMatrixCSV0.toStringSummary();\n String[][] stringArray0 = new String[1][8];\n String[] stringArray1 = new String[6];\n int[] intArray0 = new int[1];\n intArray0[0] = 2;\n resultMatrixCSV0.m_ColOrder = intArray0;\n stringArray1[0] = \"$\\bullet$\";\n stringArray1[1] = \" \";\n resultMatrixLatex0.setShowStdDev(false);\n stringArray1[2] = \"$\\bullet$\";\n stringArray1[3] = \"}HUdOS$Q<h\\\"r\";\n stringArray1[4] = \"v\";\n stringArray1[5] = \"$circ$\";\n stringArray0[0] = stringArray1;\n boolean boolean0 = true;\n // Undeclared exception!\n try { \n resultMatrixCSV0.toString();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "public void testRotPointFromFormula() {\n // We compare to multiplication using timesXYZ().\n for(int j=0; j<20; j++) {\n // Get some initial values.\n a = getRandom();\n b = getRandom();\n c = getRandom();\n u = getRandom();\n v = getRandom();\n w = getRandom();\n double x = getRandom();\n double y = getRandom();\n double z = getRandom();\n theta = getRandom();\n\n // Build the initialized matrix.\n RotationMatrix rMInit \n = new RotationMatrix(a, b, c, u, v, w, theta);\n // Build the uninitialized matrix.\n RotationMatrix rM = new RotationMatrix();\n if(LOG) rM.logMatrix();\n\n // Compare formula to matrix multiplication.\n double[] expect = rMInit.timesXYZ(new double[] {x, y, z});\n double[] result = rM.rotPointFromFormula(a, b, c, \n u, v, w, \n x, y, z, theta);\n\n log(\"testRotPointFromFormula() expect: \"+arrayToString(expect));\n log(\"testRotPointFromFormula() result: \"+arrayToString(result));\n\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n }\n }", "@Test(timeout = 4000)\n public void test183() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.toStringMatrix();\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n resultMatrixPlainText0.globalInfo();\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n resultMatrixCSV1.setCountWidth(2);\n resultMatrixCSV1.setSignificanceWidth((-259));\n resultMatrixCSV1.setShowAverage(true);\n resultMatrixCSV0.toStringKey();\n resultMatrixCSV1.clear();\n resultMatrixPlainText0.meanPrecTipText();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixCSV0);\n resultMatrixLatex0.toStringMatrix();\n resultMatrixCSV0.getColOrder();\n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex();\n resultMatrixLatex1.getDefaultPrintColNames();\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixPlainText0);\n resultMatrixSignificance0.toStringRanking();\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n resultMatrixSignificance1.globalInfo();\n resultMatrixLatex1.getDefaultMeanPrec();\n ResultMatrixHTML resultMatrixHTML0 = null;\n try {\n resultMatrixHTML0 = new ResultMatrixHTML(1, (-1056));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test089() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n try { \n evaluation0.correlationCoefficient();\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Can't compute correlation coefficient: class is nominal!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test(timeout = 4000)\n public void test206() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n int[][] intArray0 = new int[3][0];\n int[] intArray1 = new int[1];\n intArray1[0] = 1;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[9];\n intArray2[0] = 1;\n intArray2[1] = 2;\n intArray2[2] = 2;\n intArray2[3] = 0;\n intArray2[4] = 3;\n intArray2[5] = 1;\n intArray2[6] = 2;\n intArray2[7] = 1;\n intArray2[8] = 2;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[3];\n intArray3[0] = 2;\n intArray3[1] = 0;\n intArray3[2] = 1;\n intArray0[2] = intArray3;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n String[][] stringArray0 = new String[1][3];\n String[] stringArray1 = new String[5];\n stringArray1[0] = \"\";\n stringArray1[1] = \"\";\n stringArray1[2] = \"[\";\n stringArray1[3] = \"[\";\n stringArray1[4] = \"\";\n stringArray0[0] = stringArray1;\n int int0 = resultMatrixGnuPlot0.getColSize(stringArray0, 1, true, true);\n assertEquals(0, int0);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(1, resultMatrixLatex0.getRowCount());\n \n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex(resultMatrixLatex0);\n resultMatrixLatex1.getEnumerateRowNames();\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\n assertEquals(0, resultMatrixLatex1.getCountWidth());\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\n assertTrue(resultMatrixLatex1.getPrintRowNames());\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(0, 416);\n resultMatrixPlainText0.getDefaultSignificanceWidth();\n assertEquals(416, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n \n resultMatrixLatex0.isStdDev(374);\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n }", "@Test(timeout = 4000)\n public void test130() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 0);\n int[] intArray0 = new int[0];\n resultMatrixCSV0.setRowOrder(intArray0);\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n resultMatrixHTML0.setMeanPrec(0);\n resultMatrixHTML0.setPrintRowNames(true);\n resultMatrixCSV0.isMean((-791));\n ResultMatrixPlainText resultMatrixPlainText0 = null;\n try {\n resultMatrixPlainText0 = new ResultMatrixPlainText(364, (-791));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "public void testZAxisRotation() {\n w = 1;\n theta = 2pi;\n double[] point = new double[] {1, 1, 0};\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n double[] result = rM.timesXYZ(point);\n double[] expect = new double[] {1, 1, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(expect[i], result[i], TOLERANCE);\n }\n\n theta = pi;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n //rM.logMatrix();\n result = rM.timesXYZ(point);\n expect = new double[] {-1, -1, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = pi/2;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n //rM.logMatrix();\n result = rM.timesXYZ(point);\n expect = new double[] {-1, 1, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = pi/4;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(point);\n expect = new double[] {0, Math.sqrt(2), 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = 3pi/4;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(point);\n expect = new double[] {-Math.sqrt(2), 0, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = -3pi/4;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(point);\n expect = new double[] {0, -Math.sqrt(2), 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n }", "@Test(timeout = 4000)\n public void test081() throws Throwable {\n String[] stringArray0 = new String[1];\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(resultMatrixCSV0);\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertNotNull(resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n resultMatrixCSV0.clearRanking();\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n boolean boolean0 = resultMatrixCSV0.getShowStdDev();\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n resultMatrixCSV0.setEnumerateRowNames(true);\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n int[] intArray0 = resultMatrixCSV1.getColOrder();\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertNull(intArray0);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV1);\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n int int0 = resultMatrixGnuPlot0.getColNameWidth();\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int0);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n }", "@Test(timeout = 4000)\n public void test098() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 0);\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[0];\n resultMatrixCSV0.setRowOrder(intArray0);\n assertArrayEquals(new int[] {}, intArray0);\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, intArray0.length);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixHTML0.setMeanPrec((-2615));\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixHTML resultMatrixHTML1 = null;\n try {\n resultMatrixHTML1 = new ResultMatrixHTML(2312, (-2214));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test015() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[7];\n intArray0[0] = 0;\n intArray0[1] = 1;\n intArray0[2] = 952;\n intArray0[3] = 2;\n intArray0[4] = 1;\n intArray0[5] = 1;\n intArray0[6] = 0;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {0, 1, 952, 2, 1, 1, 0}, intArray0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(7, intArray0.length);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean(2, 2);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot1.getRowName(2);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n int int0 = resultMatrixGnuPlot0.getDefaultColNameWidth();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n resultMatrixGnuPlot0.setRowHidden(0, false);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n boolean boolean0 = resultMatrixSignificance0.getDefaultShowStdDev();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n String string2 = resultMatrixGnuPlot0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string2);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int1 = resultMatrixPlainText0.getDisplayRow(44);\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals((-1), int1);\n assertFalse(int1 == int0);\n }", "@Test(timeout = 4000)\n public void test011() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixLatex0.setShowAverage(true);\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance1.getColCount());\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertNotNull(resultMatrixSignificance1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n \n String[] stringArray0 = new String[24];\n resultMatrixSignificance0.setColNameWidth(0);\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\n \n stringArray0[0] = \")\";\n stringArray0[1] = \"$circ$\";\n stringArray0[2] = \"\";\n stringArray0[3] = \" \";\n stringArray0[4] = \"$\\bullet$\";\n try { \n resultMatrixSignificance1.setOptions(stringArray0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Utils\", e);\n }\n }", "public void testYAxisRotation() {\n v = 1;\n theta = 2pi;\n double[] point = new double[] {1, 1, 0};\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n double[] result = rM.timesXYZ(point);\n double[] expect = new double[] {1, 1, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(expect[i], result[i], TOLERANCE);\n }\n\n theta = 12pi;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n //rM.logMatrix();\n result = rM.timesXYZ(point);\n expect = new double[] {1, 1, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = pi;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n //rM.logMatrix();\n result = rM.timesXYZ(point);\n expect = new double[] {-1, 1, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = pi/2;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(point);\n expect = new double[] {0, 1, -1, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = pi/4;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(point);\n expect = new double[] {Math.sqrt(2)/2, 1, -Math.sqrt(2)/2, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n }", "@Test(timeout = 4000)\n public void test113() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[][] intArray0 = new int[2][0];\n int[] intArray1 = new int[5];\n intArray1[0] = 1;\n intArray1[1] = 2;\n resultMatrixCSV0.m_ShowAverage = true;\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n \n intArray1[2] = 0;\n intArray1[3] = 1;\n intArray1[4] = 1;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[9];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 2;\n intArray2[1] = 2;\n intArray2[2] = 0;\n intArray2[3] = 682;\n intArray2[4] = 682;\n intArray2[5] = 0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n double double0 = resultMatrixSignificance0.getAverage(1);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n String string0 = resultMatrixSignificance0.getRowName(1389);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string1 = resultMatrixSignificance0.toStringMatrix();\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Dataset (1)\\n-----------\\nrow0 \\n\", string1);\n \n int int0 = resultMatrixSignificance0.getVisibleRowCount();\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, int0);\n \n double double1 = resultMatrixSignificance0.getStdDev(1, 1);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double1, 0.01);\n assertEquals(double1, double0, 0.01);\n \n Enumeration enumeration0 = resultMatrixSignificance0.headerKeys();\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertNotNull(enumeration0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string2 = resultMatrixSignificance0.colNameWidthTipText();\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"The maximum width of the column names (0 = optimal).\", string2);\n assertFalse(string2.equals((Object)string1));\n }", "@Test(timeout = 4000)\n public void test121() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.setSignificanceWidth(0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test036() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[][] intArray0 = new int[0][1];\n // Undeclared exception!\n try { \n resultMatrixLatex0.setSummary((int[][]) null, (int[][]) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test176() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixPlainText0);\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixPlainText0);\n resultMatrixCSV0.clearRanking();\n resultMatrixCSV0.getShowStdDev();\n resultMatrixCSV0.getColOrder();\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(5, resultMatrixCSV0.getCountWidth());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.setSignificance((-1), 2, 0);\n resultMatrixGnuPlot0.toStringRanking();\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n \n resultMatrixPlainText0.getDefaultPrintColNames();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n }", "@Test(timeout = 4000)\n public void test116() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 0);\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixCSV0);\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixLatex0.setShowStdDev(false);\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n boolean boolean0 = resultMatrixLatex0.getDefaultPrintRowNames();\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertTrue(boolean0);\n \n double double0 = resultMatrixLatex0.getCount(0);\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot.main((String[]) null);\n resultMatrixLatex0.clearHeader();\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixLatex0.setShowAverage(false);\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int0 = resultMatrixLatex0.getRowNameWidth();\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(25, int0);\n \n String string0 = resultMatrixLatex0.getSummaryTitle(12);\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"m\", string0);\n \n String string1 = resultMatrixLatex0.toStringKey();\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"\\\\begin{table}[thb]\\n\\\\caption{\\\\label{labelname}Table Caption (Key)}\\n\\\\scriptsize\\n{\\\\centering\\n\\\\begin{tabular}{cl}\\\\\\\\\\n\\\\end{tabular}\\n}\\n\\\\end{table}\\n\", string1);\n assertFalse(string1.equals((Object)string0));\n \n int int1 = resultMatrixLatex0.getRowNameWidth();\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(25, int1);\n assertTrue(int1 == int0);\n \n int int2 = resultMatrixLatex0.getDefaultColNameWidth();\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, int2);\n assertFalse(int2 == int1);\n assertFalse(int2 == int0);\n \n boolean boolean1 = resultMatrixLatex0.getPrintColNames();\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean1);\n assertFalse(boolean1 == boolean0);\n \n double double1 = resultMatrixLatex0.getAverage(557);\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0.0, double1, 0.01);\n assertEquals(double1, double0, 0.01);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.setSize((-158), 1);\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test007() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n resultMatrixCSV0.setSize(1, 0);\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n doubleArray0[6] = (double) 0;\n doubleArray0[1] = (double) 2;\n doubleArray0[3] = (double) 1;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean(1, 2);\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot0.getRowName(1);\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot2 = new ResultMatrixGnuPlot(2, 0);\n assertEquals(0, resultMatrixGnuPlot2.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot2.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot2.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot2.getColCount());\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot2.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot2.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot2.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot2.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot2.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot2.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot2.getDisplayName());\n assertTrue(resultMatrixGnuPlot2.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot2.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot2.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot2.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot2.meanWidthTipText());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot2.globalInfo());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot2.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot2.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot2.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot2.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot2.getMeanWidth());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot2.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot2.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot2.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot2.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot2.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot2.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot2.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot2.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot2.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot2.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot2.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot2.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot2.getMeanPrec());\n assertNotNull(resultMatrixGnuPlot2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot2.equals((Object)resultMatrixGnuPlot1));\n assertFalse(resultMatrixGnuPlot2.equals((Object)resultMatrixGnuPlot0));\n \n int int0 = resultMatrixGnuPlot2.getDefaultColNameWidth();\n assertEquals(0, resultMatrixGnuPlot2.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot2.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot2.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot2.getColCount());\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot2.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot2.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot2.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot2.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot2.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot2.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot2.getDisplayName());\n assertTrue(resultMatrixGnuPlot2.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot2.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot2.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot2.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot2.meanWidthTipText());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot2.globalInfo());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot2.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot2.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot2.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot2.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot2.getMeanWidth());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot2.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot2.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot2.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot2.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot2.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot2.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot2.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot2.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot2.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot2.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot2.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot2.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot2.getMeanPrec());\n assertNotSame(resultMatrixGnuPlot2, resultMatrixGnuPlot1);\n assertNotSame(resultMatrixGnuPlot2, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot2.equals((Object)resultMatrixGnuPlot1));\n assertFalse(resultMatrixGnuPlot2.equals((Object)resultMatrixGnuPlot0));\n }", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test174() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV();\n Vector<String> vector0 = new Vector<String>();\n resultMatrixCSV1.m_HeaderValues = vector0;\n assertFalse(resultMatrixCSV1.getShowStdDev());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n resultMatrixSignificance0.getSignificance(44, 2967);\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n }", "@Test(timeout = 4000)\n public void test068() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixCSV0.RIGHT_PARENTHESES = null;\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n \n int int0 = resultMatrixCSV0.getRowCount();\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, int0);\n \n boolean[] booleanArray0 = new boolean[4];\n booleanArray0[0] = false;\n booleanArray0[1] = true;\n booleanArray0[2] = false;\n booleanArray0[3] = false;\n resultMatrixCSV0.m_RowHidden = booleanArray0;\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n \n String string0 = resultMatrixCSV0.toStringKey();\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Key,\\n[1null,col0\\n\", string0);\n \n String[][] stringArray0 = new String[0][9];\n // Undeclared exception!\n try { \n resultMatrixCSV0.getColSize(stringArray0, 1, true, true);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test167() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.showStdDevTipText();\n resultMatrixLatex0.getRevision();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n resultMatrixGnuPlot0.RIGHT_PARENTHESES = \")\";\n resultMatrixGnuPlot0.getDefaultRowNameWidth();\n int[] intArray0 = new int[7];\n intArray0[0] = 2;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 1;\n intArray0[4] = 0;\n intArray0[5] = 1;\n intArray0[6] = 2;\n resultMatrixLatex0.m_ColOrder = intArray0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n int[] intArray1 = new int[6];\n intArray1[0] = 0;\n intArray1[1] = 50;\n intArray1[2] = 50;\n intArray1[3] = 50;\n intArray1[4] = 2;\n intArray1[5] = 0;\n resultMatrixSignificance0.m_RankingLosses = intArray1;\n resultMatrixSignificance0.getDisplayName();\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n \n String string0 = resultMatrixLatex0.getSummaryTitle(0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"a\", string0);\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n }", "@Test(timeout = 4000)\n public void test106() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[5];\n intArray0[0] = 1;\n intArray0[1] = 2;\n intArray0[2] = 0;\n String string0 = resultMatrixCSV0.toStringKey();\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Key,\\n[1],col0\\n\", string0);\n \n String string1 = resultMatrixCSV0.toStringMatrix();\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Dataset,[1]\\nrow0,''\\n'[v/ /]',''\\n\", string1);\n assertFalse(string1.equals((Object)string0));\n \n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(resultMatrixCSV0);\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertNotNull(resultMatrixCSV1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n String string2 = resultMatrixCSV1.toStringRanking();\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertNotNull(string2);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(string2.equals((Object)string1));\n assertFalse(string2.equals((Object)string0));\n \n resultMatrixCSV1.setColName(0, (String) null);\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(2, 2);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixGnuPlot0.clear();\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n double double0 = resultMatrixCSV1.getCount(1);\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0.0, double0, 0.01);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n }", "@Test(timeout = 4000)\n public void test076() throws Throwable {\n String[] stringArray0 = new String[6];\n stringArray0[0] = \"\";\n stringArray0[1] = \"\";\n stringArray0[2] = \" using 1:\";\n stringArray0[3] = \"<3\\\"uyx{[a7=aq,-hIYf\";\n stringArray0[4] = \":\";\n stringArray0[5] = \"\";\n ResultMatrixCSV.main(stringArray0);\n assertEquals(6, stringArray0.length);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixCSV0.m_PrintColNames = true;\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n \n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(resultMatrixGnuPlot0);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertNotNull(resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n resultMatrixCSV1.clearRanking();\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n resultMatrixCSV1.addHeader(\"v\", (String) null);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n resultMatrixCSV1.setEnumerateRowNames(false);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n resultMatrixCSV0.m_CountWidth = 1;\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n \n int[] intArray0 = resultMatrixCSV1.getColOrder();\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertNull(intArray0);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n boolean boolean0 = resultMatrixGnuPlot1.getDefaultEnumerateColNames();\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n String string0 = resultMatrixCSV0.padString(\"P?}l4!B1F{[#9\", 1);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertNotNull(string0);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"P\", string0);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n }", "@Test(timeout = 4000)\n public void test061() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[][] intArray0 = new int[3][0];\n int[] intArray1 = new int[1];\n intArray1[0] = 1;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[9];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 1;\n intArray2[1] = 2;\n intArray2[2] = 2;\n intArray2[3] = 0;\n intArray2[4] = 3;\n intArray2[6] = 2;\n intArray2[7] = 1;\n intArray2[8] = 2;\n intArray0[1] = intArray2;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixSignificance0.getRevision();\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n resultMatrixSignificance0.setColHidden(1003, false);\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance1.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertNotNull(resultMatrixSignificance1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n \n ResultMatrixSignificance resultMatrixSignificance2 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance2.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance2.getMeanPrec());\n assertFalse(resultMatrixSignificance2.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance2.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance2.getVisibleRowCount());\n assertFalse(resultMatrixSignificance2.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance2.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance2.rowNameWidthTipText());\n assertEquals(40, resultMatrixSignificance2.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance2.meanWidthTipText());\n assertTrue(resultMatrixSignificance2.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance2.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance2.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance2.getRowCount());\n assertEquals(40, resultMatrixSignificance2.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance2.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance2.printRowNamesTipText());\n assertTrue(resultMatrixSignificance2.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance2.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance2.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance2.getEnumerateColNames());\n assertFalse(resultMatrixSignificance2.getShowAverage());\n assertEquals(2, resultMatrixSignificance2.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance2.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance2.colNameWidthTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance2.getDisplayName());\n assertEquals(0, resultMatrixSignificance2.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance2.globalInfo());\n assertEquals(0, resultMatrixSignificance2.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance2.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance2.getColNameWidth());\n assertEquals(0, resultMatrixSignificance2.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance2.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance2.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance2.getColCount());\n assertFalse(resultMatrixSignificance2.getRemoveFilterName());\n assertFalse(resultMatrixSignificance2.getShowStdDev());\n assertFalse(resultMatrixSignificance2.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance2.stdDevPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance2.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance2.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance2.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance2.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance2.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance2.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance2.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance2.getCountWidth());\n assertEquals(1, resultMatrixSignificance2.getVisibleColCount());\n assertTrue(resultMatrixSignificance2.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance2.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance2.getDefaultMeanPrec());\n assertNotNull(resultMatrixSignificance2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixSignificance2.equals((Object)resultMatrixSignificance0));\n assertFalse(resultMatrixSignificance2.equals((Object)resultMatrixSignificance1));\n \n int int0 = resultMatrixSignificance2.getVisibleColCount();\n assertFalse(resultMatrixSignificance2.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance2.getMeanPrec());\n assertFalse(resultMatrixSignificance2.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance2.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance2.getVisibleRowCount());\n assertFalse(resultMatrixSignificance2.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance2.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance2.rowNameWidthTipText());\n assertEquals(40, resultMatrixSignificance2.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance2.meanWidthTipText());\n assertTrue(resultMatrixSignificance2.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance2.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance2.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance2.getRowCount());\n assertEquals(40, resultMatrixSignificance2.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance2.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance2.printRowNamesTipText());\n assertTrue(resultMatrixSignificance2.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance2.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance2.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance2.getEnumerateColNames());\n assertFalse(resultMatrixSignificance2.getShowAverage());\n assertEquals(2, resultMatrixSignificance2.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance2.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance2.colNameWidthTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance2.getDisplayName());\n assertEquals(0, resultMatrixSignificance2.getStdDevWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance2.globalInfo());\n assertEquals(0, resultMatrixSignificance2.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance2.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance2.getColNameWidth());\n assertEquals(0, resultMatrixSignificance2.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance2.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance2.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance2.getColCount());\n assertFalse(resultMatrixSignificance2.getRemoveFilterName());\n assertFalse(resultMatrixSignificance2.getShowStdDev());\n assertFalse(resultMatrixSignificance2.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance2.stdDevPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance2.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance2.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance2.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance2.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance2.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance2.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance2.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance2.getCountWidth());\n assertEquals(1, resultMatrixSignificance2.getVisibleColCount());\n assertTrue(resultMatrixSignificance2.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance2.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance2.getDefaultMeanPrec());\n assertNotSame(resultMatrixSignificance2, resultMatrixSignificance0);\n assertNotSame(resultMatrixSignificance2, resultMatrixSignificance1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, int0);\n assertFalse(resultMatrixSignificance2.equals((Object)resultMatrixSignificance0));\n assertFalse(resultMatrixSignificance2.equals((Object)resultMatrixSignificance1));\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n boolean boolean0 = resultMatrixLatex0.isSignificance((-1));\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n }", "@Test(timeout = 4000)\n public void test014() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[] intArray0 = new int[4];\n intArray0[0] = (-4845);\n intArray0[1] = 1;\n intArray0[2] = 2;\n intArray0[3] = 1;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {(-4845), 1, 2, 1}, intArray0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(4, intArray0.length);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"8034\", string0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n double double0 = resultMatrixGnuPlot1.getMean(0, 1);\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0.0, double0, 0.01);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n resultMatrixCSV0.m_ColNames = null;\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot2 = null;\n try {\n resultMatrixGnuPlot2 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "@Test(timeout = 4000)\n public void test117() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[1];\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n doubleArray0[0] = (double) 0;\n doubleArray0[1] = (double) 2;\n doubleArray0[2] = (double) 0;\n doubleArray0[3] = (double) 1;\n doubleArray0[4] = (double) 2;\n doubleArray0[5] = (double) 0;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(216);\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"i\", string0);\n \n int[][] intArray1 = new int[8][0];\n intArray1[0] = intArray0;\n intArray1[1] = intArray0;\n intArray1[2] = intArray0;\n intArray1[3] = intArray0;\n intArray1[4] = intArray0;\n intArray1[5] = intArray0;\n intArray1[6] = intArray0;\n intArray1[7] = intArray0;\n resultMatrixLatex0.setSummary(intArray1, intArray1);\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(8, intArray1.length);\n \n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertNotNull(resultMatrixCSV1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n int[] intArray2 = resultMatrixCSV1.getColOrder();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertNull(intArray2);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n boolean boolean0 = resultMatrixLatex0.getDefaultPrintColNames();\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean0);\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance1.getColCount());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertNotNull(resultMatrixSignificance1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n \n String string1 = resultMatrixCSV1.toStringSummary();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertNotNull(string1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(string1.equals((Object)string0));\n \n boolean boolean1 = resultMatrixPlainText0.isRowName(1);\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean1);\n assertTrue(boolean1 == boolean0);\n \n int int0 = resultMatrixLatex0.getDefaultColNameWidth();\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, int0);\n }", "@Test\n public void test11() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"xx\\\"qa7Q>h6u=;6s.h+.<\");\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.matthewsCorrelationCoefficient(0);\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test065() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 1942);\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(1942, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1942, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixCSV0.clearSummary();\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(1942, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1942, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV.main((String[]) null);\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertNotNull(resultMatrixCSV1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(1942, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1942, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1942, resultMatrixGnuPlot0.getRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1942, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV(resultMatrixCSV1);\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(25, resultMatrixCSV2.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV2.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV2.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV2.stdDevWidthTipText());\n assertFalse(resultMatrixCSV2.getShowAverage());\n assertEquals(2, resultMatrixCSV2.getStdDevPrec());\n assertTrue(resultMatrixCSV2.getEnumerateColNames());\n assertFalse(resultMatrixCSV2.getShowStdDev());\n assertEquals(0, resultMatrixCSV2.getMeanWidth());\n assertEquals(25, resultMatrixCSV2.getRowNameWidth());\n assertEquals(0, resultMatrixCSV2.getColNameWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV2.showStdDevTipText());\n assertEquals(1, resultMatrixCSV2.getVisibleColCount());\n assertFalse(resultMatrixCSV2.getPrintColNames());\n assertEquals(2, resultMatrixCSV2.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV2.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV2.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV2.removeFilterNameTipText());\n assertTrue(resultMatrixCSV2.getPrintRowNames());\n assertEquals(0, resultMatrixCSV2.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV2.printColNamesTipText());\n assertEquals(0, resultMatrixCSV2.getCountWidth());\n assertEquals(1, resultMatrixCSV2.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV2.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV2.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV2.getDefaultPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV2.countWidthTipText());\n assertFalse(resultMatrixCSV2.getDefaultEnumerateRowNames());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV2.globalInfo());\n assertEquals(0, resultMatrixCSV2.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV2.getDefaultRemoveFilterName());\n assertTrue(resultMatrixCSV2.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV2.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV2.colNameWidthTipText());\n assertFalse(resultMatrixCSV2.getRemoveFilterName());\n assertFalse(resultMatrixCSV2.getEnumerateRowNames());\n assertFalse(resultMatrixCSV2.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV2.getColCount());\n assertTrue(resultMatrixCSV2.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV2.printRowNamesTipText());\n assertFalse(resultMatrixCSV2.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV2.meanWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV2.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV2.showAverageTipText());\n assertEquals(2, resultMatrixCSV2.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixCSV2.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV2.meanPrecTipText());\n assertNotNull(resultMatrixCSV2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV0));\n \n resultMatrixCSV0.clearRanking();\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(1942, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1942, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV2));\n \n boolean boolean0 = resultMatrixCSV0.getShowStdDev();\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1942, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV2));\n \n resultMatrixCSV0.setEnumerateRowNames(true);\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(1942, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1942, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV2));\n \n int[] intArray0 = resultMatrixCSV1.getColOrder();\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertNull(intArray0);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n resultMatrixGnuPlot0.setSignificance((-1787), (-1787), 12);\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1942, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1942, resultMatrixGnuPlot0.getRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1942, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV2));\n }", "@Test(timeout = 4000)\n public void test010() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n resultMatrixCSV0.setSize(1, 0);\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n doubleArray0[0] = (double) 0;\n doubleArray0[1] = (double) 2;\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n assertEquals(0, int0);\n \n int int1 = resultMatrixSignificance0.getSignificance(0, 1);\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int1);\n assertTrue(int1 == int0);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixHTML0.getRevision();\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n String string1 = resultMatrixHTML0.globalInfo();\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertNotNull(string1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Generates the matrix output as HTML.\", string1);\n assertFalse(string1.equals((Object)string0));\n }", "@Test(timeout = 4000)\n public void test012() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[] intArray0 = new int[1];\n intArray0[0] = 1;\n resultMatrixLatex0.setRowOrder(intArray0);\n assertArrayEquals(new int[] {1}, intArray0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, intArray0.length);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(1, 1);\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.m_StdDevPrec = 1;\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n \n int int0 = resultMatrixPlainText0.getDefaultCountWidth();\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(5, int0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixGnuPlot0.toStringMatrix();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"(1)\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\", string0);\n \n resultMatrixLatex0.m_ColOrder = intArray0;\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(1, 1);\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixCSV0.m_EnumerateRowNames = true;\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n \n resultMatrixCSV0.clearHeader();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.assign(resultMatrixCSV0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.setCountWidth(661);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string1 = resultMatrixGnuPlot0.toStringSummary();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n \n int int1 = resultMatrixGnuPlot0.getStdDevWidth();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int1);\n assertFalse(int1 == int0);\n \n String string2 = resultMatrixLatex0.trimString(\"\", 2);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"\", string2);\n assertFalse(string2.equals((Object)string1));\n assertFalse(string2.equals((Object)string0));\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setSize(2417, 1);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2417, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2417, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string3 = resultMatrixHTML0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2417, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2417, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string3);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-ranking data not set-\", string3);\n assertFalse(string3.equals((Object)string1));\n assertFalse(string3.equals((Object)string0));\n assertFalse(string3.equals((Object)string2));\n \n String string4 = resultMatrixCSV0.countWidthTipText();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(string4);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The width of the counts (0 = optimal).\", string4);\n assertFalse(string4.equals((Object)string2));\n assertFalse(string4.equals((Object)string0));\n assertFalse(string4.equals((Object)string1));\n assertFalse(string4.equals((Object)string3));\n \n String string5 = resultMatrixLatex0.globalInfo();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(string5);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", string5);\n assertFalse(string5.equals((Object)string0));\n assertFalse(string5.equals((Object)string4));\n assertFalse(string5.equals((Object)string2));\n assertFalse(string5.equals((Object)string1));\n assertFalse(string5.equals((Object)string3));\n \n String[][] stringArray0 = new String[6][8];\n String[] stringArray1 = new String[6];\n stringArray1[0] = \"$circ$\";\n stringArray1[1] = \"]\";\n stringArray1[2] = \" \";\n stringArray1[3] = \"]\";\n stringArray1[4] = \"v\";\n stringArray1[5] = \"The width of the counts (0 = optimal).\";\n stringArray0[0] = stringArray1;\n String[] stringArray2 = new String[9];\n assertFalse(stringArray2.equals((Object)stringArray1));\n \n stringArray2[0] = \"v\";\n stringArray2[1] = \"\";\n stringArray2[2] = \"[\";\n stringArray2[3] = \"-summary data not set-\";\n stringArray2[4] = \"Generates the matrix output in LaTeX-syntax.\";\n stringArray2[5] = \"(\";\n stringArray2[6] = \"(\";\n stringArray2[7] = \" \";\n stringArray2[8] = \" \";\n stringArray0[1] = stringArray2;\n String[] stringArray3 = new String[2];\n assertFalse(stringArray3.equals((Object)stringArray1));\n assertFalse(stringArray3.equals((Object)stringArray2));\n \n stringArray3[0] = \"[\";\n stringArray3[1] = \"[\";\n stringArray0[2] = stringArray3;\n String[] stringArray4 = new String[1];\n assertFalse(stringArray4.equals((Object)stringArray2));\n assertFalse(stringArray4.equals((Object)stringArray1));\n assertFalse(stringArray4.equals((Object)stringArray3));\n \n stringArray4[0] = \"\";\n stringArray0[3] = stringArray4;\n String[] stringArray5 = new String[6];\n assertFalse(stringArray5.equals((Object)stringArray2));\n assertFalse(stringArray5.equals((Object)stringArray1));\n assertFalse(stringArray5.equals((Object)stringArray4));\n assertFalse(stringArray5.equals((Object)stringArray3));\n \n stringArray5[0] = \"$circ$\";\n stringArray5[1] = \"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"(1)\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\";\n stringArray5[2] = \"\";\n stringArray5[3] = \" \";\n stringArray5[4] = \"$circ$\";\n stringArray5[5] = \" \";\n stringArray0[4] = stringArray5;\n String[] stringArray6 = new String[7];\n assertFalse(stringArray6.equals((Object)stringArray5));\n assertFalse(stringArray6.equals((Object)stringArray3));\n assertFalse(stringArray6.equals((Object)stringArray2));\n assertFalse(stringArray6.equals((Object)stringArray1));\n assertFalse(stringArray6.equals((Object)stringArray4));\n \n stringArray6[0] = \"]\";\n stringArray6[1] = \" \";\n stringArray6[2] = \"v\";\n stringArray6[3] = \"v\";\n stringArray6[4] = \" \";\n stringArray6[5] = \"$circ$\";\n stringArray6[6] = \"v\";\n stringArray0[5] = stringArray6;\n // Undeclared exception!\n try { \n resultMatrixLatex0.getColSize(stringArray0, 2, true, true);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 2\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n public void testGetMatrix() {\n String path1 = \"c:\\\\Voici\\\\input.txt\";\n MatrixReader reader = new MatrixReader(path1);\n assertEquals(reader.getMatrix().get(0, 0), -10.615, 0.001);\n assertEquals(reader.getMatrix().get(9, 1), 10.148, 0.001);\n }", "@Test(timeout = 4000)\n public void test103() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int int0 = 2238;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(1, 2238);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2238, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(2238, resultMatrixGnuPlot0.getRowCount());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int1 = (-69);\n String string0 = resultMatrixGnuPlot0.getSummaryTitle((-69));\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2238, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(2238, resultMatrixGnuPlot0.getRowCount());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"P\", string0);\n \n boolean boolean0 = false;\n String string1 = \"\";\n // Undeclared exception!\n resultMatrixCSV0.assign(resultMatrixGnuPlot0);\n }", "@Test(timeout = 4000)\n public void test156() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(50, 50);\n resultMatrixLatex0.m_ShowAverage = false;\n resultMatrixLatex0.m_ShowStdDev = true;\n boolean[] booleanArray0 = new boolean[5];\n booleanArray0[0] = false;\n booleanArray0[1] = false;\n resultMatrixLatex0.m_StdDevWidth = (-3085);\n booleanArray0[2] = true;\n resultMatrixLatex0.setPrintColNames(true);\n booleanArray0[3] = true;\n resultMatrixLatex0.setStdDevWidth((-1));\n booleanArray0[4] = true;\n resultMatrixLatex0.m_RowHidden = booleanArray0;\n resultMatrixLatex0.getDefaultEnumerateColNames();\n resultMatrixLatex0.colNameWidthTipText();\n resultMatrixLatex0.setPrintRowNames(false);\n resultMatrixLatex0.removeFilterName(\"\");\n resultMatrixLatex0.padString(\"\", 0, false);\n ResultMatrixSignificance resultMatrixSignificance0 = null;\n try {\n resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 5\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test152() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n resultMatrixCSV0.setSize(1, 0);\n doubleArray0[0] = (double) 0;\n doubleArray0[1] = (double) 2;\n doubleArray0[3] = (double) 1;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(8, 2);\n resultMatrixPlainText0.isSignificance(0);\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(1, 2);\n resultMatrixHTML0.getColCount();\n resultMatrixHTML0.getRowOrder();\n ResultMatrixCSV resultMatrixCSV1 = null;\n try {\n resultMatrixCSV1 = new ResultMatrixCSV(1065, (-2915));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test147() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex(resultMatrixPlainText0);\n String string0 = resultMatrixPlainText0.getSummaryTitle(0);\n assertEquals(\"a\", string0);\n \n int[][] intArray0 = new int[2][4];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[6];\n intArray2[0] = 1;\n intArray2[1] = 1;\n intArray2[2] = 1;\n intArray2[3] = 0;\n intArray2[4] = 1;\n intArray2[5] = 0;\n intArray0[1] = intArray2;\n resultMatrixLatex1.setSummary(intArray0, intArray0);\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n resultMatrixCSV0.getColOrder();\n resultMatrixLatex1.getDefaultPrintColNames();\n assertEquals(25, resultMatrixLatex1.getRowNameWidth());\n assertEquals(5, resultMatrixLatex1.getCountWidth());\n assertTrue(resultMatrixLatex1.getPrintColNames());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n \n resultMatrixCSV0.toStringSummary();\n resultMatrixPlainText0.isRowName((-1723));\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n }", "@Test(timeout = 4000)\n public void test181() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n intArray0[1] = intArray2;\n int[] intArray3 = new int[0];\n intArray0[2] = intArray3;\n int[] intArray4 = new int[6];\n intArray4[1] = 0;\n intArray4[2] = 2;\n intArray4[3] = 0;\n intArray4[4] = 2;\n intArray4[5] = 0;\n intArray0[3] = intArray4;\n int[] intArray5 = new int[3];\n intArray0[4] = intArray5;\n int[] intArray6 = new int[3];\n intArray6[1] = 1;\n intArray6[2] = 2;\n intArray0[5] = intArray6;\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n resultMatrixCSV0.setEnumerateRowNames(false);\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixCSV0);\n resultMatrixSignificance0.setColHidden(0, false);\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.getDefaultPrintColNames();\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixCSV0);\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n \n resultMatrixLatex0.getDefaultPrintColNames();\n assertEquals(1, resultMatrixLatex0.getColCount());\n }", "@Test(timeout = 4000)\n public void test126() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixCSV0.toString();\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Dataset,[1]\\nrow0,''\\n'[v/ /]',''\\n\", string0);\n \n String[] stringArray0 = new String[4];\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.setSize(0, 0);\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int0 = resultMatrixGnuPlot0.getDefaultColNameWidth();\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(50, int0);\n }", "@Test(timeout = 4000)\n public void test052() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[] stringArray0 = new String[4];\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean(0, 0);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(Double.NaN, double0, 0.01);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot0.getRowName(1);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot2 = new ResultMatrixGnuPlot();\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot2.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot2.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot2.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot2.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot2.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot2.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot2.showAverageTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot2.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot2.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot2.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot2.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot2.getDisplayName());\n assertTrue(resultMatrixGnuPlot2.getPrintColNames());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot2.globalInfo());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultMeanWidth());\n assertEquals(2, resultMatrixGnuPlot2.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot2.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot2.getColCount());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot2.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot2.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot2.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot2.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot2.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot2.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot2.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot2.getStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot2.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot2.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot2.getPrintRowNames());\n assertEquals(50, resultMatrixGnuPlot2.getColNameWidth());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot2.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot2.getCountWidth());\n assertFalse(resultMatrixGnuPlot2.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot2.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot2.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot2.rowNameWidthTipText());\n assertNotNull(resultMatrixGnuPlot2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot2.equals((Object)resultMatrixGnuPlot0));\n assertFalse(resultMatrixGnuPlot2.equals((Object)resultMatrixGnuPlot1));\n \n int int0 = resultMatrixGnuPlot2.getDefaultColNameWidth();\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot2.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot2.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot2.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot2.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot2.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot2.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot2.showAverageTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot2.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot2.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot2.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot2.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot2.getDisplayName());\n assertTrue(resultMatrixGnuPlot2.getPrintColNames());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot2.globalInfo());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultMeanWidth());\n assertEquals(2, resultMatrixGnuPlot2.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot2.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot2.getColCount());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot2.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot2.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot2.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot2.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot2.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot2.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot2.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot2.getStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot2.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot2.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot2.getPrintRowNames());\n assertEquals(50, resultMatrixGnuPlot2.getColNameWidth());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot2.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot2.getCountWidth());\n assertFalse(resultMatrixGnuPlot2.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot2.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot2.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot2.rowNameWidthTipText());\n assertNotSame(resultMatrixGnuPlot2, resultMatrixGnuPlot0);\n assertNotSame(resultMatrixGnuPlot2, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot2.equals((Object)resultMatrixGnuPlot0));\n assertFalse(resultMatrixGnuPlot2.equals((Object)resultMatrixGnuPlot1));\n }", "@Test(timeout = 4000)\n public void test071() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n doubleArray0[1] = (double) 2;\n doubleArray0[2] = (double) 0;\n doubleArray0[3] = (double) 1;\n doubleArray0[4] = (double) 2;\n doubleArray0[5] = (double) 0;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[][] intArray0 = new int[8][0];\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.setRanking(intArray0);\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(8, intArray0.length);\n \n resultMatrixGnuPlot0.setSize(0, 0);\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.m_SignificanceWidth = 2;\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n \n resultMatrixGnuPlot0.setRowName(0, \"D`R%/eCW_A#jXFi>\");\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int int0 = resultMatrixSignificance0.getSignificance(881, 3);\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n \n boolean boolean0 = resultMatrixCSV0.getDefaultShowAverage();\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n }", "@Test(timeout = 4000)\n public void test051() throws Throwable {\n String[] stringArray0 = new String[6];\n stringArray0[0] = \"\";\n stringArray0[1] = \"\";\n stringArray0[2] = \" using 1:\";\n stringArray0[3] = \"<3\\\"uyx{[a7=aq,-hIYf\";\n stringArray0[4] = \":\";\n stringArray0[5] = \"\";\n ResultMatrixCSV.main(stringArray0);\n assertEquals(6, stringArray0.length);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixCSV0.m_StdDevWidth = 33;\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(33, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n \n resultMatrixCSV0.m_PrintColNames = true;\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(33, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n \n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(resultMatrixGnuPlot0);\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(33, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertNotNull(resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n ResultMatrixHTML.main(stringArray0);\n assertEquals(6, stringArray0.length);\n \n boolean boolean0 = resultMatrixCSV1.getDefaultShowStdDev();\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(33, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n }", "@Test(timeout = 4000)\n public void test078() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[][] intArray0 = new int[1][5];\n int[] intArray1 = new int[1];\n intArray1[0] = 2;\n intArray0[0] = intArray1;\n resultMatrixGnuPlot0.setRanking(intArray0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, intArray0.length);\n \n resultMatrixGnuPlot0.setSize(26, 45);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(45, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(26, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(45, resultMatrixGnuPlot0.getRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(26, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.setRowName(2186, \")\");\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(45, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(26, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(45, resultMatrixGnuPlot0.getRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(26, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n }", "@Test(timeout = 4000)\n public void test133() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\n boolean boolean0 = false;\n resultMatrixSignificance1.m_EnumerateRowNames = false;\n resultMatrixSignificance1.m_SignificanceWidth = 0;\n resultMatrixSignificance0.toStringRanking();\n resultMatrixSignificance1.setSize(1, 1252);\n resultMatrixSignificance1.getColHidden(0);\n resultMatrixSignificance0.getColOrder();\n resultMatrixSignificance1.getRowName(0);\n int int0 = (-1572);\n ResultMatrixLatex resultMatrixLatex0 = null;\n try {\n resultMatrixLatex0 = new ResultMatrixLatex(114, (-1572));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test109() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 12);\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(12, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(12, resultMatrixCSV0.getVisibleRowCount());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixCSV0.doubleToString((-1649.242085), 0);\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(12, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(12, resultMatrixCSV0.getVisibleRowCount());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-1649.\", string0);\n \n resultMatrixCSV0.clearSummary();\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(12, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(12, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(0, 0);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n double double0 = resultMatrixGnuPlot0.getCount(95);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(454, 0);\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getRowCount());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(454, resultMatrixGnuPlot1.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(454, resultMatrixGnuPlot1.getColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n }", "@Test(timeout = 4000)\n public void test074() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n boolean boolean0 = resultMatrixLatex0.getDefaultPrintRowNames();\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertTrue(boolean0);\n \n boolean boolean1 = resultMatrixPlainText0.getShowAverage();\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean1);\n assertFalse(boolean1 == boolean0);\n }", "@Test(timeout = 4000)\n public void test145() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(637, 0);\n resultMatrixGnuPlot0.toStringSummary();\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n resultMatrixPlainText0.globalInfo();\n int[] intArray0 = new int[0];\n resultMatrixGnuPlot0.setColOrder(intArray0);\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV();\n resultMatrixCSV2.setShowAverage(true);\n resultMatrixCSV1.getRevision();\n resultMatrixCSV0.clear();\n resultMatrixCSV2.globalInfo();\n resultMatrixCSV0.setEnumerateRowNames(true);\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixCSV0);\n resultMatrixSignificance0.setColHidden(0, false);\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n resultMatrixSignificance1.getVisibleColCount();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n boolean boolean0 = resultMatrixCSV1.getPrintRowNames();\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertTrue(boolean0);\n }", "@Test(timeout = 4000)\n public void test122() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n resultMatrixCSV0.clearSummary();\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n double[] doubleArray0 = new double[7];\n resultMatrixCSV0.setSize(1, 0);\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n doubleArray0[0] = (double) 0;\n doubleArray0[3] = (double) 1;\n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader((String) null);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test179() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(resultMatrixCSV0);\n resultMatrixCSV0.clearRanking();\n boolean boolean0 = resultMatrixCSV0.getShowStdDev();\n assertFalse(boolean0);\n \n resultMatrixCSV1.setEnumerateRowNames(false);\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n \n resultMatrixCSV0.getColOrder();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.setSignificance(1913, 844, 844);\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n }", "@Test(timeout = 4000)\n public void test047() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[] intArray0 = new int[1];\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n doubleArray0[0] = (double) 0;\n doubleArray0[1] = (double) 2;\n doubleArray0[2] = (double) 0;\n doubleArray0[3] = (double) 1;\n doubleArray0[4] = (double) 2;\n doubleArray0[5] = (double) 0;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(216);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"i\", string0);\n \n int[][] intArray1 = new int[8][0];\n intArray1[0] = intArray0;\n intArray1[1] = intArray0;\n intArray1[2] = intArray0;\n intArray1[3] = intArray0;\n intArray1[4] = intArray0;\n intArray1[5] = intArray0;\n intArray1[6] = intArray0;\n intArray1[7] = intArray0;\n resultMatrixLatex0.setSummary(intArray1, intArray1);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(8, intArray1.length);\n \n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertNotNull(resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n int[] intArray2 = resultMatrixCSV1.getColOrder();\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertNull(intArray2);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n boolean boolean0 = resultMatrixLatex0.getDefaultPrintColNames();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance1.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertNotNull(resultMatrixSignificance1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n \n String string1 = resultMatrixCSV1.toStringSummary();\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertNotNull(string1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(string1.equals((Object)string0));\n \n boolean boolean1 = resultMatrixPlainText0.isRowName(1);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean1);\n assertTrue(boolean1 == boolean0);\n \n boolean boolean2 = resultMatrixPlainText0.getDefaultEnumerateRowNames();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean2);\n assertTrue(boolean2 == boolean1);\n assertTrue(boolean2 == boolean0);\n }", "@Test(timeout = 4000)\n public void test146() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n String[] stringArray0 = new String[4];\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n doubleArray0[0] = (double) 0;\n doubleArray0[1] = (double) 2;\n doubleArray0[3] = (double) 1;\n resultMatrixCSV0.setSignificanceWidth(123);\n doubleArray0[4] = (double) 2;\n doubleArray0[5] = (double) 0;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n double[][] doubleArray1 = new double[6][2];\n doubleArray1[0] = doubleArray0;\n doubleArray1[1] = doubleArray0;\n doubleArray1[2] = doubleArray0;\n doubleArray1[3] = doubleArray0;\n doubleArray1[4] = doubleArray0;\n double[] doubleArray2 = new double[3];\n doubleArray2[0] = (double) 1;\n doubleArray2[1] = (double) 1;\n doubleArray2[2] = (double) 2;\n doubleArray1[5] = doubleArray2;\n resultMatrixGnuPlot0.m_StdDev = doubleArray1;\n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV(resultMatrixCSV1);\n resultMatrixCSV1.clearRanking();\n resultMatrixCSV1.getShowStdDev();\n resultMatrixCSV0.setEnumerateRowNames(false);\n assertEquals(123, resultMatrixCSV0.getSignificanceWidth());\n \n resultMatrixCSV1.getColOrder();\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixGnuPlot0);\n resultMatrixPlainText0.rowNameWidthTipText();\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n }", "@Test(timeout = 4000)\n public void test166() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixCSV0);\n resultMatrixCSV0.setPrintColNames(true);\n resultMatrixCSV0.TIE_STRING = \" \";\n resultMatrixCSV0.m_RowNameWidth = 2;\n resultMatrixPlainText0.padString(\"A7'@51RZ\", 45);\n resultMatrixPlainText0.meanWidthTipText();\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixCSV0);\n resultMatrixHTML0.LEFT_PARENTHESES = \"\";\n resultMatrixHTML0.getDefaultEnumerateColNames();\n resultMatrixCSV0.globalInfo();\n resultMatrixPlainText0.showStdDevTipText();\n resultMatrixPlainText0.setMeanWidth(2);\n resultMatrixHTML0.getRemoveFilterName();\n int int0 = 0;\n resultMatrixPlainText0.getRowName(0);\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(2, 0);\n resultMatrixLatex0.setMeanWidth(45);\n resultMatrixLatex0.m_ShowAverage = true;\n resultMatrixHTML0.listOptions();\n resultMatrixLatex0.globalInfo();\n resultMatrixLatex0.stdDevPrecTipText();\n resultMatrixLatex0.setSize(0, 1);\n resultMatrixCSV0.toStringRanking();\n resultMatrixCSV0.clearRanking();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(0, 1);\n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.toString();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test161() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n resultMatrixCSV0.m_PrintColNames = true;\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(resultMatrixGnuPlot0);\n resultMatrixCSV1.getShowStdDev();\n resultMatrixCSV1.setEnumerateRowNames(false);\n resultMatrixCSV1.getColOrder();\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n String string0 = resultMatrixGnuPlot0.getSummaryTitle(39);\n assertEquals(\"n\", string0);\n \n resultMatrixGnuPlot1.getDefaultEnumerateColNames();\n resultMatrixGnuPlot0.getRemoveFilterName();\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n }", "@Test(timeout = 4000)\n public void test104() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixLatex0.setStdDevPrec(0);\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixLatex0.setMean((-3113), (-2645), (-2645));\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixLatex0.WIN_STRING = \"\";\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n \n resultMatrixHTML0.setPrintRowNames(true);\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n // Undeclared exception!\n try { \n resultMatrixHTML0.toStringHeader();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test031() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixSignificance0.getRowName((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.m_StdDev = null;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n \n String string1 = resultMatrixSignificance0.getDisplayName();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Significance only\", string1);\n \n double double0 = resultMatrixSignificance0.getAverage((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixPlainText resultMatrixPlainText0 = null;\n try {\n resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test135() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[1] = intArray0[0];\n int[] intArray2 = new int[0];\n intArray0[2] = intArray2;\n int[] intArray3 = new int[6];\n intArray3[1] = 0;\n String string0 = resultMatrixGnuPlot0.doubleToString(0, 0);\n assertEquals(\"0.\", string0);\n \n intArray3[2] = 2;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int int1 = resultMatrixSignificance0.getSignificance(2469, 0);\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, int1);\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n }", "@Test(timeout = 4000)\n public void test091() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 56);\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(56, resultMatrixCSV0.getVisibleRowCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(56, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[0];\n resultMatrixCSV0.setRowOrder(intArray0);\n assertArrayEquals(new int[] {}, intArray0);\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(56, resultMatrixCSV0.getVisibleRowCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(56, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, intArray0.length);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixHTML0.setMeanPrec(0);\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixHTML resultMatrixHTML1 = null;\n try {\n resultMatrixHTML1 = new ResultMatrixHTML(0, (-791));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test054() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(11, 0);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(11, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(11, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n double double0 = resultMatrixGnuPlot0.getMean(1, 48);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(11, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(11, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n String[] stringArray0 = new String[3];\n stringArray0[0] = \"\";\n stringArray0[1] = \"\";\n stringArray0[2] = \"$circ$\";\n ResultMatrixGnuPlot.main(stringArray0);\n assertEquals(3, stringArray0.length);\n \n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(11, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(11, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex1.showStdDevTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\n assertEquals(50, resultMatrixLatex1.getRowNameWidth());\n assertEquals(11, resultMatrixLatex1.getVisibleColCount());\n assertFalse(resultMatrixLatex1.getShowAverage());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex1.globalInfo());\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex1.getRowCount());\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex1.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex1.meanWidthTipText());\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex1.getCountWidth());\n assertTrue(resultMatrixLatex1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex1.showAverageTipText());\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex1.getVisibleRowCount());\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex1.printRowNamesTipText());\n assertTrue(resultMatrixLatex1.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex1.meanPrecTipText());\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex1.countWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex1.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex1.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex1.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex1.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\n assertFalse(resultMatrixLatex1.getShowStdDev());\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\n assertEquals(11, resultMatrixLatex1.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex1.printColNamesTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex1.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex1.rowNameWidthTipText());\n assertNotNull(resultMatrixLatex1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\n \n ResultMatrixLatex resultMatrixLatex2 = new ResultMatrixLatex(26, 28);\n assertFalse(resultMatrixLatex2.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex2.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex2.showAverageTipText());\n assertEquals(28, resultMatrixLatex2.getRowCount());\n assertEquals(26, resultMatrixLatex2.getVisibleColCount());\n assertEquals(26, resultMatrixLatex2.getColCount());\n assertFalse(resultMatrixLatex2.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex2.meanPrecTipText());\n assertEquals(2, resultMatrixLatex2.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex2.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex2.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex2.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex2.getColNameWidth());\n assertEquals(0, resultMatrixLatex2.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex2.countWidthTipText());\n assertEquals(0, resultMatrixLatex2.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex2.getDefaultRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex2.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex2.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex2.stdDevPrecTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex2.significanceWidthTipText());\n assertFalse(resultMatrixLatex2.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex2.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex2.getMeanPrec());\n assertEquals(0, resultMatrixLatex2.getCountWidth());\n assertFalse(resultMatrixLatex2.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex2.printColNamesTipText());\n assertEquals(28, resultMatrixLatex2.getVisibleRowCount());\n assertTrue(resultMatrixLatex2.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex2.getSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex2.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex2.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex2.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex2.globalInfo());\n assertFalse(resultMatrixLatex2.getShowAverage());\n assertTrue(resultMatrixLatex2.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex2.getRowNameWidth());\n assertFalse(resultMatrixLatex2.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex2.getDefaultRowNameWidth());\n assertTrue(resultMatrixLatex2.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex2.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex2.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex2.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex2.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex2.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex2.getStdDevPrec());\n assertFalse(resultMatrixLatex2.getDefaultShowAverage());\n assertFalse(resultMatrixLatex2.getRemoveFilterName());\n assertFalse(resultMatrixLatex2.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex2.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex2.stdDevWidthTipText());\n assertNotNull(resultMatrixLatex2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixLatex2.equals((Object)resultMatrixLatex0));\n assertFalse(resultMatrixLatex2.equals((Object)resultMatrixLatex1));\n \n // Undeclared exception!\n try { \n resultMatrixLatex2.toStringHeader();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test124() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[][] intArray0 = new int[3][0];\n int[] intArray1 = new int[1];\n intArray1[0] = 1;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[9];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 1;\n intArray2[1] = 2;\n intArray2[2] = 2;\n intArray2[3] = 0;\n intArray2[4] = 3;\n intArray2[5] = 1;\n intArray2[6] = 2;\n intArray2[7] = 1;\n intArray2[8] = 2;\n intArray0[1] = intArray2;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n double double0 = resultMatrixGnuPlot0.getCount((-2386));\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0.0, double0, 0.01);\n \n resultMatrixGnuPlot0.setStdDevWidth(2);\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n }", "@Test(timeout = 4000)\n public void test097() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(1410, 0);\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(1410, resultMatrixGnuPlot1.getColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot1.getRowCount());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(1410, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n resultMatrixGnuPlot1.setEnumerateColNames(true);\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(1410, resultMatrixGnuPlot1.getColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot1.getRowCount());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string0 = resultMatrixGnuPlot0.toStringMatrix();\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertNotNull(string0);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"[1]\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\", string0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string1 = resultMatrixGnuPlot0.toStringKey();\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertNotNull(string1);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Key:\\n[1] col0\\n\", string1);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(string1.equals((Object)string0));\n \n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertNotNull(resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV();\n assertEquals(1, resultMatrixCSV2.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV2.getDisplayName());\n assertEquals(1, resultMatrixCSV2.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV2.globalInfo());\n assertEquals(0, resultMatrixCSV2.getCountWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV2.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV2.getRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV2.countWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV2.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV2.stdDevPrecTipText());\n assertFalse(resultMatrixCSV2.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV2.getMeanWidth());\n assertEquals(0, resultMatrixCSV2.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixCSV2.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV2.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV2.getVisibleRowCount());\n assertFalse(resultMatrixCSV2.getDefaultShowAverage());\n assertFalse(resultMatrixCSV2.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV2.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV2.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV2.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV2.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV2.showAverageTipText());\n assertEquals(1, resultMatrixCSV2.getRowCount());\n assertEquals(2, resultMatrixCSV2.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV2.meanPrecTipText());\n assertFalse(resultMatrixCSV2.getPrintColNames());\n assertFalse(resultMatrixCSV2.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV2.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV2.getRowNameWidth());\n assertTrue(resultMatrixCSV2.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getMeanPrec());\n assertEquals(2, resultMatrixCSV2.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV2.meanWidthTipText());\n assertTrue(resultMatrixCSV2.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV2.getShowStdDev());\n assertFalse(resultMatrixCSV2.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV2.showStdDevTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV2.removeFilterNameTipText());\n assertFalse(resultMatrixCSV2.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV2.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV2.significanceWidthTipText());\n assertTrue(resultMatrixCSV2.getPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getDefaultMeanPrec());\n assertNotNull(resultMatrixCSV2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV0));\n \n resultMatrixCSV2.setCountWidth(0);\n assertEquals(1, resultMatrixCSV2.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV2.getDisplayName());\n assertEquals(1, resultMatrixCSV2.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV2.globalInfo());\n assertEquals(0, resultMatrixCSV2.getCountWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV2.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV2.getRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV2.countWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV2.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV2.stdDevPrecTipText());\n assertFalse(resultMatrixCSV2.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV2.getMeanWidth());\n assertEquals(0, resultMatrixCSV2.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixCSV2.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV2.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV2.getVisibleRowCount());\n assertFalse(resultMatrixCSV2.getDefaultShowAverage());\n assertFalse(resultMatrixCSV2.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV2.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV2.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV2.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV2.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV2.showAverageTipText());\n assertEquals(1, resultMatrixCSV2.getRowCount());\n assertEquals(2, resultMatrixCSV2.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV2.meanPrecTipText());\n assertFalse(resultMatrixCSV2.getPrintColNames());\n assertFalse(resultMatrixCSV2.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV2.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV2.getRowNameWidth());\n assertTrue(resultMatrixCSV2.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getMeanPrec());\n assertEquals(2, resultMatrixCSV2.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV2.meanWidthTipText());\n assertTrue(resultMatrixCSV2.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV2.getShowStdDev());\n assertFalse(resultMatrixCSV2.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV2.showStdDevTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV2.removeFilterNameTipText());\n assertFalse(resultMatrixCSV2.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV2.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV2.significanceWidthTipText());\n assertTrue(resultMatrixCSV2.getPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getDefaultMeanPrec());\n assertNotSame(resultMatrixCSV2, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV0));\n \n resultMatrixCSV1.setShowAverage(true);\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertTrue(resultMatrixCSV1.getShowAverage());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n \n String string2 = resultMatrixCSV1.toStringKey();\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertTrue(resultMatrixCSV1.getShowAverage());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertNotNull(string2);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Key,\\n[1],col0\\n\", string2);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n assertFalse(string2.equals((Object)string0));\n assertFalse(string2.equals((Object)string1));\n \n String string3 = resultMatrixPlainText0.meanPrecTipText();\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertNotNull(string3);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The number of decimals after the decimal point for the mean.\", string3);\n assertFalse(string3.equals((Object)string0));\n assertFalse(string3.equals((Object)string2));\n assertFalse(string3.equals((Object)string1));\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixCSV1);\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertTrue(resultMatrixCSV1.getShowAverage());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n \n String string4 = resultMatrixLatex0.toStringMatrix();\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertTrue(resultMatrixCSV1.getShowAverage());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertNotNull(string4);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"\\\\begin{table}[thb]\\n\\\\caption{\\\\label{labelname}Table Caption}\\n\\\\footnotesize\\n{\\\\centering \\\\begin{tabular}{lr}\\n\\\\\\\\\\n\\\\hline\\nDataset & [1]\\\\\\\\\\n\\\\hline\\nrow0 & \\\\\\\\\\n\\\\hline\\nAverage & NaN.00\\\\\\\\\\n\\\\hline\\n\\\\multicolumn{2}{c}{$\\\\circ$, $\\\\bullet$ statistically significant improvement or degradation}\\\\\\\\\\n\\\\end{tabular} \\\\footnotesize \\\\par}\\n\\\\end{table}\\n\", string4);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n assertFalse(string4.equals((Object)string2));\n assertFalse(string4.equals((Object)string3));\n assertFalse(string4.equals((Object)string0));\n assertFalse(string4.equals((Object)string1));\n \n int[] intArray0 = resultMatrixCSV2.getColOrder();\n assertEquals(1, resultMatrixCSV2.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV2.getDisplayName());\n assertEquals(1, resultMatrixCSV2.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV2.globalInfo());\n assertEquals(0, resultMatrixCSV2.getCountWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV2.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV2.getRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV2.countWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV2.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV2.stdDevPrecTipText());\n assertFalse(resultMatrixCSV2.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV2.getMeanWidth());\n assertEquals(0, resultMatrixCSV2.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixCSV2.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV2.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV2.getVisibleRowCount());\n assertFalse(resultMatrixCSV2.getDefaultShowAverage());\n assertFalse(resultMatrixCSV2.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV2.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV2.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV2.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV2.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV2.showAverageTipText());\n assertEquals(1, resultMatrixCSV2.getRowCount());\n assertEquals(2, resultMatrixCSV2.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV2.meanPrecTipText());\n assertFalse(resultMatrixCSV2.getPrintColNames());\n assertFalse(resultMatrixCSV2.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV2.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV2.getRowNameWidth());\n assertTrue(resultMatrixCSV2.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getMeanPrec());\n assertEquals(2, resultMatrixCSV2.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV2.meanWidthTipText());\n assertTrue(resultMatrixCSV2.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV2.getShowStdDev());\n assertFalse(resultMatrixCSV2.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV2.showStdDevTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV2.removeFilterNameTipText());\n assertFalse(resultMatrixCSV2.getDefaultPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV2.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV2.significanceWidthTipText());\n assertTrue(resultMatrixCSV2.getPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getDefaultMeanPrec());\n assertNull(intArray0);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV0));\n \n ResultMatrixPlainText resultMatrixPlainText1 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertNotNull(resultMatrixPlainText1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixPlainText1);\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n \n double double0 = resultMatrixSignificance0.getStdDev((-1), (-1));\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertNotSame(resultMatrixPlainText1, resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0.0, double0, 0.01);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixCSV1);\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertTrue(resultMatrixCSV1.getShowAverage());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n \n resultMatrixHTML0.setRowOrder((int[]) null);\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertTrue(resultMatrixCSV1.getShowAverage());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n }", "@Test(timeout = 4000)\n public void test002() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedMatthewsCorrelation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test087() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(1410, 0);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(1410, resultMatrixGnuPlot1.getColCount());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(1410, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n resultMatrixGnuPlot1.setEnumerateColNames(true);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(1410, resultMatrixGnuPlot1.getColCount());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n resultMatrixGnuPlot0.addHeader(\"\", \"v\");\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n resultMatrixCSV0.m_RowNameWidth = 5;\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(5, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n \n resultMatrixGnuPlot0.clear();\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(5, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixLatex0.getRevision();\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"8034\", string0);\n \n resultMatrixGnuPlot0.setStdDevPrec((-2));\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(5, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n // Undeclared exception!\n try { \n resultMatrixLatex0.getHeader(\"\");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test187() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.setColNameWidth(166);\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixGnuPlot0);\n String[] stringArray0 = new String[8];\n stringArray0[0] = \"\";\n resultMatrixGnuPlot0.padString(\"v\", 1, true);\n stringArray0[1] = \" \";\n stringArray0[2] = \"-col-name-width\";\n stringArray0[3] = \"v\";\n stringArray0[4] = \"\";\n stringArray0[5] = \"\";\n stringArray0[6] = \"9;)w#KSr]iJiLJmi\";\n stringArray0[7] = \"\";\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixHTML0);\n resultMatrixCSV0.getColOrder();\n ResultMatrixLatex resultMatrixLatex0 = null;\n try {\n resultMatrixLatex0 = new ResultMatrixLatex(2, (-1876));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test108() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[][] intArray0 = new int[3][0];\n int[] intArray1 = new int[1];\n intArray1[0] = 1;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[9];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 1;\n intArray2[1] = 2;\n intArray2[2] = 2;\n intArray2[3] = 0;\n intArray2[4] = 2;\n intArray2[5] = 1;\n intArray2[7] = 1;\n intArray2[8] = 2;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[3];\n assertFalse(intArray3.equals((Object)intArray2));\n assertFalse(intArray3.equals((Object)intArray1));\n \n intArray3[1] = 0;\n intArray3[2] = 1;\n String string0 = resultMatrixCSV0.removeFilterName(\"[V1$);my_W/XHJet/\");\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"[V1$);my_W/XHJet/\", string0);\n \n intArray0[2] = intArray3;\n // Undeclared exception!\n try { \n resultMatrixCSV0.setRanking(intArray0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 3\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test090() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixCSV0.setRowNameWidth(332);\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(332, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String string0 = resultMatrixCSV0.toStringKey();\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(332, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Key,\\n[1],col0\\n\", string0);\n \n int[] intArray0 = new int[7];\n intArray0[0] = 2;\n intArray0[1] = 0;\n intArray0[2] = 1;\n resultMatrixCSV0.clearHeader();\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(332, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n intArray0[3] = 0;\n intArray0[4] = 332;\n intArray0[5] = 0;\n String[] stringArray0 = new String[8];\n stringArray0[0] = \"\";\n stringArray0[1] = \"\";\n stringArray0[2] = \"'f\";\n stringArray0[3] = \" \";\n stringArray0[4] = \"Key,\\n[1],col0\\n\";\n stringArray0[5] = \"v\";\n stringArray0[6] = \"v\";\n stringArray0[7] = \"[\";\n ResultMatrixCSV.main(stringArray0);\n assertEquals(8, stringArray0.length);\n \n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertNotNull(resultMatrixCSV1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixCSV0);\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(332, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(332, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(332, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(332, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(332, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV(resultMatrixCSV1);\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultCountWidth());\n assertFalse(resultMatrixCSV2.getEnumerateRowNames());\n assertTrue(resultMatrixCSV2.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV2.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV2.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV2.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV2.meanWidthTipText());\n assertEquals(0, resultMatrixCSV2.getSignificanceWidth());\n assertFalse(resultMatrixCSV2.getPrintColNames());\n assertEquals(2, resultMatrixCSV2.getStdDevPrec());\n assertFalse(resultMatrixCSV2.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV2.getMeanPrec());\n assertFalse(resultMatrixCSV2.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixCSV2.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV2.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV2.getStdDevWidth());\n assertEquals(1, resultMatrixCSV2.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV2.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV2.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV2.showAverageTipText());\n assertEquals(25, resultMatrixCSV2.getRowNameWidth());\n assertEquals(1, resultMatrixCSV2.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV2.getDisplayName());\n assertFalse(resultMatrixCSV2.getShowAverage());\n assertTrue(resultMatrixCSV2.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV2.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV2.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV2.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV2.getCountWidth());\n assertEquals(0, resultMatrixCSV2.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV2.printColNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV2.globalInfo());\n assertEquals(0, resultMatrixCSV2.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV2.printRowNamesTipText());\n assertFalse(resultMatrixCSV2.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV2.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV2.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV2.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV2.getColCount());\n assertEquals(0, resultMatrixCSV2.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV2.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV2.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV2.significanceWidthTipText());\n assertTrue(resultMatrixCSV2.getPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV2.countWidthTipText());\n assertEquals(1, resultMatrixCSV2.getVisibleColCount());\n assertEquals(0, resultMatrixCSV2.getDefaultStdDevWidth());\n assertNotNull(resultMatrixCSV2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV0));\n \n resultMatrixCSV1.clearRanking();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n \n ResultMatrixCSV resultMatrixCSV3 = new ResultMatrixCSV(331, 1);\n assertEquals(2, resultMatrixCSV3.getMeanPrec());\n assertFalse(resultMatrixCSV3.getDefaultShowAverage());\n assertFalse(resultMatrixCSV3.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV3.getDefaultCountWidth());\n assertTrue(resultMatrixCSV3.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixCSV3.getRowCount());\n assertEquals(25, resultMatrixCSV3.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV3.significanceWidthTipText());\n assertFalse(resultMatrixCSV3.getPrintColNames());\n assertEquals(0, resultMatrixCSV3.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV3.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV3.getSignificanceWidth());\n assertFalse(resultMatrixCSV3.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV3.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV3.rowNameWidthTipText());\n assertFalse(resultMatrixCSV3.getShowStdDev());\n assertEquals(331, resultMatrixCSV3.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV3.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV3.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV3.printColNamesTipText());\n assertEquals(0, resultMatrixCSV3.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV3.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV3.getMeanWidth());\n assertEquals(331, resultMatrixCSV3.getVisibleColCount());\n assertTrue(resultMatrixCSV3.getEnumerateColNames());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV3.globalInfo());\n assertTrue(resultMatrixCSV3.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV3.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV3.getDisplayName());\n assertEquals(0, resultMatrixCSV3.getStdDevWidth());\n assertEquals(2, resultMatrixCSV3.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV3.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV3.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV3.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV3.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV3.getShowAverage());\n assertEquals(2, resultMatrixCSV3.getStdDevPrec());\n assertFalse(resultMatrixCSV3.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV3.stdDevWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV3.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV3.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV3.showStdDevTipText());\n assertEquals(25, resultMatrixCSV3.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV3.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV3.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV3.getVisibleRowCount());\n assertFalse(resultMatrixCSV3.getEnumerateRowNames());\n assertFalse(resultMatrixCSV3.getRemoveFilterName());\n assertFalse(resultMatrixCSV3.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV3.meanWidthTipText());\n assertTrue(resultMatrixCSV3.getDefaultPrintRowNames());\n assertNotNull(resultMatrixCSV3);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV3.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV3.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV3.equals((Object)resultMatrixCSV1));\n \n boolean boolean0 = resultMatrixCSV3.getShowStdDev();\n assertEquals(2, resultMatrixCSV3.getMeanPrec());\n assertFalse(resultMatrixCSV3.getDefaultShowAverage());\n assertFalse(resultMatrixCSV3.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV3.getDefaultCountWidth());\n assertTrue(resultMatrixCSV3.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixCSV3.getRowCount());\n assertEquals(25, resultMatrixCSV3.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV3.significanceWidthTipText());\n assertFalse(resultMatrixCSV3.getPrintColNames());\n assertEquals(0, resultMatrixCSV3.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV3.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV3.getSignificanceWidth());\n assertFalse(resultMatrixCSV3.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV3.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV3.rowNameWidthTipText());\n assertFalse(resultMatrixCSV3.getShowStdDev());\n assertEquals(331, resultMatrixCSV3.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV3.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV3.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV3.printColNamesTipText());\n assertEquals(0, resultMatrixCSV3.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV3.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV3.getMeanWidth());\n assertEquals(331, resultMatrixCSV3.getVisibleColCount());\n assertTrue(resultMatrixCSV3.getEnumerateColNames());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV3.globalInfo());\n assertTrue(resultMatrixCSV3.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV3.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV3.getDisplayName());\n assertEquals(0, resultMatrixCSV3.getStdDevWidth());\n assertEquals(2, resultMatrixCSV3.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV3.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV3.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV3.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV3.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV3.getShowAverage());\n assertEquals(2, resultMatrixCSV3.getStdDevPrec());\n assertFalse(resultMatrixCSV3.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV3.stdDevWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV3.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV3.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV3.showStdDevTipText());\n assertEquals(25, resultMatrixCSV3.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV3.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV3.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV3.getVisibleRowCount());\n assertFalse(resultMatrixCSV3.getEnumerateRowNames());\n assertFalse(resultMatrixCSV3.getRemoveFilterName());\n assertFalse(resultMatrixCSV3.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV3.meanWidthTipText());\n assertTrue(resultMatrixCSV3.getDefaultPrintRowNames());\n assertNotSame(resultMatrixCSV3, resultMatrixCSV2);\n assertNotSame(resultMatrixCSV3, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV3, resultMatrixCSV1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n assertFalse(resultMatrixCSV3.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV3.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV3.equals((Object)resultMatrixCSV1));\n \n resultMatrixCSV0.setEnumerateRowNames(true);\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(332, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV3);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV2);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV3));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n int[] intArray1 = resultMatrixCSV2.getColOrder();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultCountWidth());\n assertFalse(resultMatrixCSV2.getEnumerateRowNames());\n assertTrue(resultMatrixCSV2.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV2.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV2.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV2.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV2.meanWidthTipText());\n assertEquals(0, resultMatrixCSV2.getSignificanceWidth());\n assertFalse(resultMatrixCSV2.getPrintColNames());\n assertEquals(2, resultMatrixCSV2.getStdDevPrec());\n assertFalse(resultMatrixCSV2.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV2.getMeanPrec());\n assertFalse(resultMatrixCSV2.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixCSV2.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV2.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV2.getStdDevWidth());\n assertEquals(1, resultMatrixCSV2.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV2.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV2.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV2.showAverageTipText());\n assertEquals(25, resultMatrixCSV2.getRowNameWidth());\n assertEquals(1, resultMatrixCSV2.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV2.getDisplayName());\n assertFalse(resultMatrixCSV2.getShowAverage());\n assertTrue(resultMatrixCSV2.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV2.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV2.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV2.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV2.getCountWidth());\n assertEquals(0, resultMatrixCSV2.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV2.printColNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV2.globalInfo());\n assertEquals(0, resultMatrixCSV2.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV2.printRowNamesTipText());\n assertFalse(resultMatrixCSV2.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV2.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV2.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV2.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV2.getColCount());\n assertEquals(0, resultMatrixCSV2.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV2.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV2.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV2.significanceWidthTipText());\n assertTrue(resultMatrixCSV2.getPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV2.countWidthTipText());\n assertEquals(1, resultMatrixCSV2.getVisibleColCount());\n assertEquals(0, resultMatrixCSV2.getDefaultStdDevWidth());\n assertNull(intArray1);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV3);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV3);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV3));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV3));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV0));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixCSV1);\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV3));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n ResultMatrixHTML.main(stringArray0);\n assertEquals(8, stringArray0.length);\n \n boolean boolean1 = resultMatrixCSV2.getDefaultPrintColNames();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultCountWidth());\n assertFalse(resultMatrixCSV2.getEnumerateRowNames());\n assertTrue(resultMatrixCSV2.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV2.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV2.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV2.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV2.meanWidthTipText());\n assertEquals(0, resultMatrixCSV2.getSignificanceWidth());\n assertFalse(resultMatrixCSV2.getPrintColNames());\n assertEquals(2, resultMatrixCSV2.getStdDevPrec());\n assertFalse(resultMatrixCSV2.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV2.getMeanPrec());\n assertFalse(resultMatrixCSV2.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixCSV2.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV2.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV2.getStdDevWidth());\n assertEquals(1, resultMatrixCSV2.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV2.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV2.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV2.showAverageTipText());\n assertEquals(25, resultMatrixCSV2.getRowNameWidth());\n assertEquals(1, resultMatrixCSV2.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV2.getDisplayName());\n assertFalse(resultMatrixCSV2.getShowAverage());\n assertTrue(resultMatrixCSV2.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV2.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV2.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV2.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV2.getCountWidth());\n assertEquals(0, resultMatrixCSV2.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV2.printColNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV2.globalInfo());\n assertEquals(0, resultMatrixCSV2.getMeanWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV2.printRowNamesTipText());\n assertFalse(resultMatrixCSV2.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV2.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV2.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV2.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV2.getColCount());\n assertEquals(0, resultMatrixCSV2.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV2.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV2.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV2.significanceWidthTipText());\n assertTrue(resultMatrixCSV2.getPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV2.countWidthTipText());\n assertEquals(1, resultMatrixCSV2.getVisibleColCount());\n assertEquals(0, resultMatrixCSV2.getDefaultStdDevWidth());\n assertNotSame(resultMatrixCSV1, resultMatrixCSV3);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV1);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV3);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean1);\n assertTrue(boolean1 == boolean0);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV3));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV1));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV3));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV0));\n \n boolean boolean2 = resultMatrixCSV1.getEnumerateRowNames();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertNotSame(resultMatrixCSV1, resultMatrixCSV3);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean2);\n assertTrue(boolean2 == boolean0);\n assertTrue(boolean2 == boolean1);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV3));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n }", "@Test(timeout = 4000)\n public void test039() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[1];\n resultMatrixCSV0.setRowOrder(intArray0);\n assertArrayEquals(new int[] {0}, intArray0);\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, intArray0.length);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertNotNull(resultMatrixHTML0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setMeanPrec(0);\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixHTML resultMatrixHTML1 = null;\n try {\n resultMatrixHTML1 = new ResultMatrixHTML(0, (-791));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test115() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setPrintColNames(false);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test059() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray0 = new int[1][0];\n int[] intArray1 = new int[1];\n intArray1[0] = 1;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[9];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 1;\n intArray2[1] = 2;\n intArray2[2] = 2;\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixCSV0);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setShowAverage(true);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertTrue(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML(resultMatrixCSV0);\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(1, resultMatrixHTML1.getRowCount());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertNotNull(resultMatrixHTML1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n \n String[] stringArray0 = new String[6];\n stringArray0[0] = \" \";\n stringArray0[1] = \"n[k[y\\\"=9>[sZIb,\";\n stringArray0[2] = \"\";\n resultMatrixCSV0.WIN_STRING = \"LN1OBbNr\";\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n \n String[] stringArray1 = resultMatrixHTML0.getOptions();\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertTrue(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertNotNull(stringArray1);\n assertNotSame(stringArray1, stringArray0);\n assertNotSame(resultMatrixHTML0, resultMatrixHTML1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(19, stringArray1.length);\n assertFalse(stringArray1.equals((Object)stringArray0));\n assertFalse(resultMatrixHTML0.equals((Object)resultMatrixHTML1));\n \n stringArray0[4] = \"v\";\n stringArray0[5] = \"nmES[QFS&\";\n try { \n resultMatrixHTML1.setOptions(stringArray0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Utils\", e);\n }\n }", "@Test(timeout = 4000)\n public void test070() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 12);\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(12, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(12, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixCSV0.clearSummary();\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(12, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(12, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixCSV.main((String[]) null);\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertNotNull(resultMatrixCSV1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(12, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(12, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(12, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(12, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV(resultMatrixCSV1);\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV2.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV2.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV2.meanWidthTipText());\n assertFalse(resultMatrixCSV2.getEnumerateRowNames());\n assertFalse(resultMatrixCSV2.getPrintColNames());\n assertEquals(0, resultMatrixCSV2.getSignificanceWidth());\n assertFalse(resultMatrixCSV2.getShowAverage());\n assertEquals(0, resultMatrixCSV2.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV2.getRowCount());\n assertEquals(0, resultMatrixCSV2.getStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixCSV2.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV2.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV2.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV2.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV2.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV2.getStdDevPrec());\n assertFalse(resultMatrixCSV2.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV2.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV2.showStdDevTipText());\n assertEquals(0, resultMatrixCSV2.getCountWidth());\n assertEquals(1, resultMatrixCSV2.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV2.globalInfo());\n assertEquals(1, resultMatrixCSV2.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV2.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV2.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV2.getRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV2.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV2.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV2.meanPrecTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV2.colNameWidthTipText());\n assertTrue(resultMatrixCSV2.getPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV2.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV2.getDisplayName());\n assertEquals(2, resultMatrixCSV2.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV2.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV2.significanceWidthTipText());\n assertFalse(resultMatrixCSV2.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV2.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV2.stdDevPrecTipText());\n assertTrue(resultMatrixCSV2.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV2.getColNameWidth());\n assertEquals(2, resultMatrixCSV2.getMeanPrec());\n assertFalse(resultMatrixCSV2.getShowStdDev());\n assertEquals(0, resultMatrixCSV2.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV2.rowNameWidthTipText());\n assertNotNull(resultMatrixCSV2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV1));\n \n resultMatrixCSV1.clearRanking();\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n boolean boolean0 = resultMatrixCSV0.getShowStdDev();\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(12, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(12, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV2);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean0);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n resultMatrixCSV0.setEnumerateRowNames(false);\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(12, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(12, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV2);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n \n int[] intArray0 = resultMatrixCSV2.getColOrder();\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV2.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixCSV2.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV2.meanWidthTipText());\n assertFalse(resultMatrixCSV2.getEnumerateRowNames());\n assertFalse(resultMatrixCSV2.getPrintColNames());\n assertEquals(0, resultMatrixCSV2.getSignificanceWidth());\n assertFalse(resultMatrixCSV2.getShowAverage());\n assertEquals(0, resultMatrixCSV2.getDefaultCountWidth());\n assertEquals(1, resultMatrixCSV2.getRowCount());\n assertEquals(0, resultMatrixCSV2.getStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixCSV2.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV2.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV2.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV2.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV2.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV2.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV2.getStdDevPrec());\n assertFalse(resultMatrixCSV2.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV2.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV2.showStdDevTipText());\n assertEquals(0, resultMatrixCSV2.getCountWidth());\n assertEquals(1, resultMatrixCSV2.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV2.globalInfo());\n assertEquals(1, resultMatrixCSV2.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV2.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV2.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV2.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV2.getRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV2.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV2.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV2.meanPrecTipText());\n assertEquals(0, resultMatrixCSV2.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV2.colNameWidthTipText());\n assertTrue(resultMatrixCSV2.getPrintRowNames());\n assertEquals(2, resultMatrixCSV2.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV2.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV2.getDisplayName());\n assertEquals(2, resultMatrixCSV2.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV2.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV2.significanceWidthTipText());\n assertFalse(resultMatrixCSV2.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV2.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV2.stdDevPrecTipText());\n assertTrue(resultMatrixCSV2.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV2.getColNameWidth());\n assertEquals(2, resultMatrixCSV2.getMeanPrec());\n assertFalse(resultMatrixCSV2.getShowStdDev());\n assertEquals(0, resultMatrixCSV2.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV2.rowNameWidthTipText());\n assertNull(intArray0);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV2);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV0);\n assertNotSame(resultMatrixCSV2, resultMatrixCSV1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV0));\n assertFalse(resultMatrixCSV2.equals((Object)resultMatrixCSV1));\n \n resultMatrixGnuPlot0.setSignificance(0, 0, 1);\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(12, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(12, resultMatrixCSV0.getRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(12, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(12, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertNotSame(resultMatrixCSV0, resultMatrixCSV2);\n assertNotSame(resultMatrixCSV0, resultMatrixCSV1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV2));\n assertFalse(resultMatrixCSV0.equals((Object)resultMatrixCSV1));\n }", "@Test(timeout = 4000)\n public void test151() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixPlainText0);\n String string0 = resultMatrixGnuPlot0.getRowName(2486);\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(5, resultMatrixGnuPlot0.getCountWidth());\n assertNull(string0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot1.getDefaultColNameWidth();\n resultMatrixHTML0.m_ShowAverage = false;\n ResultMatrixGnuPlot resultMatrixGnuPlot2 = new ResultMatrixGnuPlot(resultMatrixHTML0);\n resultMatrixGnuPlot2.setRowHidden((-4260), false);\n assertEquals(2, resultMatrixGnuPlot2.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot2.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot2.getSignificanceWidth());\n assertEquals(25, resultMatrixGnuPlot2.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot2.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot2.getPrintRowNames());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.setCountWidth(0);\n resultMatrixSignificance0.getDefaultShowStdDev();\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n \n resultMatrixHTML0.getRevision();\n int int0 = resultMatrixPlainText0.getDisplayRow(1);\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals((-1), int0);\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n }", "@Test(timeout = 4000)\n public void test114() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[] intArray0 = new int[5];\n intArray0[0] = 1;\n intArray0[1] = 2;\n intArray0[2] = 0;\n String string0 = resultMatrixCSV0.toStringKey();\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Key,\\n[1],col0\\n\", string0);\n \n String string1 = resultMatrixCSV0.toStringMatrix();\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertNotNull(string1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Dataset,[1]\\nrow0,''\\n'[v/ /]',''\\n\", string1);\n assertFalse(string1.equals((Object)string0));\n \n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertNotNull(resultMatrixCSV1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n String string2 = resultMatrixCSV1.toStringRanking();\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertNotNull(string2);\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n assertFalse(string2.equals((Object)string1));\n assertFalse(string2.equals((Object)string0));\n \n resultMatrixCSV1.setColName(0, \"v\");\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV1.globalInfo());\n assertEquals(1, resultMatrixCSV1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV1.printRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV1.countWidthTipText());\n assertFalse(resultMatrixCSV1.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV1.printColNamesTipText());\n assertEquals(2, resultMatrixCSV1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV1.meanPrecTipText());\n assertEquals(0, resultMatrixCSV1.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixCSV1.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV1.showAverageTipText());\n assertEquals(1, resultMatrixCSV1.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV1.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV1.colNameWidthTipText());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertFalse(resultMatrixCSV1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV1.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV1.removeFilterNameTipText());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV1.rowNameWidthTipText());\n assertTrue(resultMatrixCSV1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV1.getShowStdDev());\n assertFalse(resultMatrixCSV1.getPrintColNames());\n assertEquals(1, resultMatrixCSV1.getRowCount());\n assertTrue(resultMatrixCSV1.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV1.meanWidthTipText());\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertFalse(resultMatrixCSV1.getShowAverage());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV1.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV1.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV1.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV1.stdDevWidthTipText());\n assertEquals(1, resultMatrixCSV1.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n assertEquals(0, resultMatrixCSV1.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV1.getDefaultShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV1.showStdDevTipText());\n assertNotSame(resultMatrixCSV1, resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixCSV1.equals((Object)resultMatrixCSV0));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(30, 239);\n }", "@Test(timeout = 4000)\n public void test092() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 0);\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getVisibleColCount());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String string0 = resultMatrixPlainText0.doubleToString(0, 2);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"0.00\", string0);\n \n Enumeration enumeration0 = resultMatrixPlainText0.headerKeys();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertNotNull(enumeration0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int0 = resultMatrixPlainText0.getDisplayCol((-2177));\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals((-1), int0);\n \n ResultMatrixPlainText resultMatrixPlainText1 = new ResultMatrixPlainText(0, 0);\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText1.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertEquals(0, resultMatrixPlainText1.getVisibleRowCount());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText1.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText1.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertNotNull(resultMatrixPlainText1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n \n // Undeclared exception!\n try { \n resultMatrixPlainText1.toStringMatrix();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test002() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n resultMatrixCSV0.setSize(1, 0);\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n doubleArray0[0] = (double) 0;\n doubleArray0[1] = (double) 2;\n doubleArray0[3] = (double) 1;\n doubleArray0[5] = (double) 0;\n doubleArray0[6] = (double) 0;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(2, 0);\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.setShowAverage(false);\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[][] stringArray1 = new String[3][4];\n stringArray1[0] = stringArray0;\n stringArray1[1] = stringArray0;\n stringArray1[2] = stringArray0;\n int int0 = resultMatrixGnuPlot0.getColSize(stringArray1, 783, true, false);\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int0);\n assertEquals(3, stringArray1.length);\n \n ResultMatrixLatex resultMatrixLatex0 = null;\n try {\n resultMatrixLatex0 = new ResultMatrixLatex(2387, (-2476));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test132() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 12);\n resultMatrixCSV0.doubleToString((-1649.242085), 0);\n resultMatrixCSV0.clearSummary();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(0, 0);\n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.toArray();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixPlainText0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[2];\n stringArray0[0] = \")\";\n resultMatrixSignificance0.m_EnumerateRowNames = true;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n stringArray0[1] = \"5GOL?NR}\";\n resultMatrixPlainText0.setOptions(stringArray0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, stringArray0.length);\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"a\", string0);\n \n int[][] intArray0 = new int[3][8];\n int[] intArray1 = new int[3];\n intArray1[0] = 2;\n intArray1[1] = 1;\n intArray1[2] = 2;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[3];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 2;\n intArray2[1] = 1;\n intArray2[2] = 1;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[6];\n assertFalse(intArray3.equals((Object)intArray2));\n assertFalse(intArray3.equals((Object)intArray1));\n \n intArray3[0] = 1;\n intArray3[1] = 1;\n intArray3[2] = 1;\n intArray3[3] = 0;\n intArray3[4] = 2;\n intArray3[5] = 2;\n intArray0[2] = intArray3;\n resultMatrixSignificance0.m_Significance = intArray0;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n boolean boolean0 = resultMatrixPlainText0.isSignificance((-2));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int int0 = resultMatrixPlainText0.getDefaultRowNameWidth();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(25, int0);\n \n resultMatrixPlainText0.setMean(2, 25, 0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string1 = resultMatrixSignificance0.toStringSummary();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n }", "@Test(timeout = 4000)\n public void test177() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getVisibleRowCount();\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n intArray0[1] = 1;\n intArray0[2] = 0;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(1, 2);\n resultMatrixGnuPlot0.getDefaultColNameWidth();\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n ResultMatrixGnuPlot resultMatrixGnuPlot2 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot2.setRowHidden(0, false);\n assertEquals(1, resultMatrixGnuPlot2.getVisibleRowCount());\n \n resultMatrixSignificance0.getDefaultShowStdDev();\n resultMatrixSignificance0.headerKeys();\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n }", "@Test(timeout = 4000)\n public void test022() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n double[][] doubleArray0 = new double[4][2];\n double[] doubleArray1 = new double[7];\n doubleArray1[0] = (double) 2;\n doubleArray1[1] = (double) 0;\n doubleArray1[2] = (double) 1;\n doubleArray1[3] = (double) 1;\n doubleArray1[4] = (double) 1;\n doubleArray1[5] = (double) 1;\n doubleArray1[6] = (double) 2;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n assertFalse(doubleArray2.equals((Object)doubleArray1));\n \n doubleArray2[0] = (double) 0;\n doubleArray2[1] = (double) 2;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[3];\n assertFalse(doubleArray3.equals((Object)doubleArray2));\n assertFalse(doubleArray3.equals((Object)doubleArray1));\n \n doubleArray3[0] = (double) 0;\n doubleArray3[1] = (-2740.0);\n doubleArray3[2] = (double) 1;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[7];\n assertFalse(doubleArray4.equals((Object)doubleArray3));\n assertFalse(doubleArray4.equals((Object)doubleArray2));\n assertFalse(doubleArray4.equals((Object)doubleArray1));\n \n doubleArray4[0] = (-372.1747797129);\n doubleArray4[1] = (double) 1;\n doubleArray4[2] = (double) 1;\n doubleArray4[3] = (double) 1;\n doubleArray4[4] = (double) 1;\n doubleArray4[5] = (-2740.0);\n doubleArray4[6] = (double) 2;\n doubleArray0[3] = doubleArray4;\n resultMatrixPlainText0.m_Mean = doubleArray0;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n \n String string0 = resultMatrixPlainText0.getDisplayName();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Plain Text\", string0);\n }", "@Test(timeout = 4000)\n public void test03() throws Throwable {\n ExpressionMatrixImpl expressionMatrixImpl0 = new ExpressionMatrixImpl();\n ExpressionElementMapperImpl expressionElementMapperImpl0 = new ExpressionElementMapperImpl();\n expressionMatrixImpl0.creatMatrix(1986);\n expressionMatrixImpl0.addNewNode();\n MessageTracerImpl messageTracerImpl0 = new MessageTracerImpl();\n messageTracerImpl0.reset();\n messageTracerImpl0.getMapper();\n expressionMatrixImpl0.creatMatrix(841);\n expressionMatrixImpl0.getNumberOfElements();\n expressionMatrixImpl0.getNumberOfElements();\n expressionMatrixImpl0.setValue(0, 0, 841);\n expressionMatrixImpl0.outNoStandardConnections(true, (ExpressionElementMapper) null);\n expressionMatrixImpl0.toString();\n assertEquals(841, expressionMatrixImpl0.getNumberOfElements());\n }", "@Test\n public void testGetRotationMatrix() {\n \n AxisRotation rotation = new AxisRotation(0, 0, 1, 54);\n Mat3D rotationMatrix1 = rotation.getRotationMatrix();\n \n AxisRotation rotation2 = new AxisRotation(0, 0, 1, 324);\n Mat3D rotationMatrix2 = rotation2.getRotationMatrix();\n \n System.out.println(\"test\");\n }", "@Test(timeout = 4000)\n public void test001() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixLatex0.padString((String) null, (-857));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "@Test(timeout = 4000)\n public void test201() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n int[][] intArray0 = new int[2][0];\n int[] intArray1 = new int[5];\n intArray1[0] = 1;\n intArray1[1] = 2;\n intArray1[2] = 0;\n intArray1[3] = 1;\n intArray1[4] = 1;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[9];\n intArray2[0] = 2;\n intArray2[1] = 2;\n intArray2[2] = 0;\n intArray2[3] = 682;\n intArray2[4] = 682;\n intArray2[5] = 0;\n intArray2[6] = 2;\n intArray2[7] = 2;\n intArray2[8] = 0;\n intArray0[1] = intArray2;\n resultMatrixCSV0.m_Wins = intArray0;\n resultMatrixCSV0.m_StdDevWidth = 682;\n assertEquals(1, resultMatrixCSV0.getColCount());\n \n resultMatrixCSV0.toStringKey();\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n \n String string0 = resultMatrixCSV0.toStringMatrix();\n assertEquals(\"Dataset,[1]\\nrow0,''\\n'[v/ /]',''\\n\", string0);\n \n resultMatrixCSV0.toStringRanking();\n resultMatrixCSV0.setColName(682, \"Key,\\n[1],col0\\n\");\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(682, 4);\n resultMatrixGnuPlot0.clear();\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n \n resultMatrixCSV0.getCount(2);\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n }", "private void log(String l) {\n if (LOG) {\n System.out.println(\"RotationMatrixTest.\" + l);\n }\n }", "@Test(timeout = 4000)\n public void test172() throws Throwable {\n int[] intArray0 = new int[1];\n intArray0[0] = 33;\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n resultMatrixCSV0.getShowStdDev();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(0, 341);\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV1);\n resultMatrixGnuPlot0.padString(\"v\", (-663), false);\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n \n resultMatrixGnuPlot0.clear();\n assertEquals(341, resultMatrixCSV1.getVisibleRowCount());\n }", "@Test(timeout = 4000)\n public void test101() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n Vector<Integer> vector0 = new Vector<Integer>();\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertNotNull(vector0);\n \n resultMatrixSignificance0.m_HeaderKeys = vector0;\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertTrue(resultMatrixSignificance0.m_HeaderKeys.isEmpty());\n assertEquals(\"[]\", resultMatrixSignificance0.m_HeaderKeys.toString());\n assertEquals(0, resultMatrixSignificance0.m_HeaderKeys.size());\n assertEquals(10, resultMatrixSignificance0.m_HeaderKeys.capacity());\n \n boolean boolean0 = vector0.add((Integer) 0);\n assertEquals(10, vector0.capacity());\n assertEquals(1, vector0.size());\n assertEquals(\"[0]\", vector0.toString());\n assertFalse(vector0.isEmpty());\n assertTrue(vector0.contains(0));\n assertTrue(boolean0);\n \n int int0 = resultMatrixSignificance0.getDefaultMeanWidth();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n \n String string0 = resultMatrixSignificance0.getRevision();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n resultMatrixSignificance0.setOptions((String[]) null);\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(618, 691);\n }", "@Test(timeout = 4000)\n public void test013() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n intArray0[1] = intArray1;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixGnuPlot0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixPlainText0.getSummaryTitle((-1419));\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"R\", string0);\n \n resultMatrixLatex0.setSummary(intArray0, intArray0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(7, intArray0.length);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[] intArray2 = resultMatrixCSV0.getColOrder();\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertNull(intArray2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n boolean boolean0 = resultMatrixLatex0.getDefaultPrintColNames();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string1 = resultMatrixCSV0.toStringSummary();\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n \n boolean boolean1 = resultMatrixPlainText0.isRowName(0);\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertTrue(boolean1);\n assertFalse(boolean1 == boolean0);\n }", "@Test(timeout = 4000)\n public void test138() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(0, 0);\n int[] intArray0 = new int[0];\n resultMatrixCSV0.setRowOrder(intArray0);\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n resultMatrixHTML0.setMeanPrec(0);\n resultMatrixHTML0.m_NonSigWins = null;\n resultMatrixCSV0.toStringKey();\n ResultMatrixHTML resultMatrixHTML1 = null;\n try {\n resultMatrixHTML1 = new ResultMatrixHTML(0, (-791));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test149() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n resultMatrixCSV0.m_SignificanceWidth = 1;\n resultMatrixCSV0.getRevision();\n resultMatrixCSV0.m_RemoveFilterName = false;\n resultMatrixCSV0.setPrintColNames(true);\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.setCountWidth(0);\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixGnuPlot0);\n resultMatrixHTML0.getDefaultRowNameWidth();\n resultMatrixGnuPlot0.toStringMatrix();\n resultMatrixGnuPlot0.toStringMatrix();\n // Undeclared exception!\n try { \n resultMatrixHTML0.padString((String) null, 0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "@Test(timeout = 4000)\n public void test067() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[] intArray0 = new int[1];\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n resultMatrixCSV0.setSize(1, 0);\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getRowCount());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n doubleArray0[0] = (double) 0;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray1 = new int[9][7];\n intArray1[0] = intArray0;\n intArray1[1] = intArray0;\n intArray1[2] = intArray0;\n intArray1[3] = intArray0;\n intArray1[4] = intArray0;\n intArray1[5] = intArray0;\n int[] intArray2 = new int[5];\n assertFalse(intArray2.equals((Object)intArray0));\n \n intArray2[0] = 2;\n intArray2[1] = 0;\n intArray2[2] = 0;\n intArray2[3] = 1;\n intArray2[4] = (-1609);\n intArray1[6] = intArray2;\n intArray1[7] = intArray0;\n intArray1[8] = intArray0;\n resultMatrixGnuPlot0.setRanking(intArray1);\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(9, intArray1.length);\n \n resultMatrixGnuPlot0.setSize(2, 13);\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(13, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(13, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixGnuPlot0.setRowName((-2692), \")\");\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(13, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(13, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n }", "@Test(timeout = 4000)\n public void test139() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n intArray0[1] = intArray1;\n int[] intArray2 = new int[0];\n intArray0[2] = intArray2;\n int[] intArray3 = new int[6];\n intArray3[1] = 0;\n intArray3[2] = 2;\n intArray3[3] = 0;\n intArray3[4] = 2;\n int int0 = 25;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(25, 0);\n resultMatrixPlainText0.isMean(2);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = null;\n try {\n resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(39, (-742));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }" ]	[ "0.71758837", "0.6273626", "0.6229849", "0.5951504", "0.5664662", "0.54419446", "0.5315465", "0.52274144", "0.5186116", "0.51603496", "0.515574", "0.5141745", "0.51273674", "0.511824", "0.5094275", "0.50418", "0.5038153", "0.5034446", "0.5032211", "0.5017526", "0.5014535", "0.4999007", "0.49985588", "0.49892974", "0.49821076", "0.498058", "0.49761856", "0.49741018", "0.4971708", "0.49679077", "0.4966089", "0.49546754", "0.49534595", "0.49529994", "0.4952895", "0.49455053", "0.49426344", "0.49323064", "0.492074", "0.49197108", "0.49085426", "0.4908238", "0.49081138", "0.49062282", "0.49061242", "0.4903915", "0.49026", "0.49021348", "0.49020237", "0.48976025", "0.48873496", "0.48782748", "0.4870792", "0.48657575", "0.4864639", "0.48626548", "0.4857577", "0.4857339", "0.48544872", "0.48481885", "0.48392117", "0.48352087", "0.48329648", "0.48321223", "0.4830452", "0.48290867", "0.48263377", "0.48240092", "0.48203743", "0.48080415", "0.48029548", "0.48019478", "0.4800219", "0.47977245", "0.47913137", "0.47894502", "0.47803393", "0.47784883", "0.4766851", "0.47611097", "0.47543377", "0.47465056", "0.4741768", "0.47350883", "0.47313496", "0.47279274", "0.47266522", "0.4717433", "0.47134382", "0.47081238", "0.469463", "0.46920872", "0.46904707", "0.46739525", "0.46733508", "0.4672002", "0.46670192", "0.466264", "0.46538356", "0.46514148" ]	0.87242913	0
Test of isTransitionMatrix method, of class MarkovModelUtilities.	@Test public void testIsTransitionMatrix() { IDoubleArray T = null; MarkovModelUtilities instance = new MarkovModelUtilities(); boolean expResult = false; boolean result = instance.isTransitionMatrix(T); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public boolean isTransition() {\n/* 4839 / return this.isTransition;\n/ / }", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public int[][] getTransitionMatrix() {\n\t\treturn null;\n\t}", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public boolean isSingularMatrix() {\r\n try {\r\n return this.getDeterminant() == 0;\r\n } catch (InvalidMoveException e) {\r\n return false;\r\n }\r\n }", "private boolean isMatrix(String s) {\n\t\treturn (s.equals(\"A\") \|\| s.equals(\"B\"));\n\t}", "public boolean equals(TransitionRecord test){\r\n return (fromstate == test.getFromState() && \r\n tostate == test.getToState());\r\n }", "public boolean isequal(Transition t){\n\t\tif( !this.sourcestate.isequal(t.sourcestate)){\n\t\t\treturn false;\n\t\t}\n\t\tif( !this.targetstate.isequal(t.targetstate)){\n\t\t\treturn false;\n\t\t}\n\t\tint len = this.triggers.size();\n\t\tif( len == t.getTriggers().size()){\n\t\t\tfor(int i = 0; i < len; i ++){\n\t\t\t\tString tempTriggers = this.triggers.get(i);\n\t\t\t\t\n\t\t\t\tboolean temp = false;//This means one condition has the same condition in the other transition.\n\t\t\t\tfor(int j = 0; j < len; j ++){\n\t\t\t\t\tif(tempTriggers.equals(t.getTriggers().get(j))){\n\t\t\t\t\t\ttemp = true;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(temp == false){\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\telse {\n\t\t\treturn false;\n\t\t}\n\t\t\n\t\t\n\t\treturn true;\n\t}", "private boolean areTransitionsForSchemaEqual(Set<foreignkeyshistory.SchemaTransition> schemaTransitions, Map<String,Integer> otherTransitions)\n\t{\n\t\t\n\t\tfor (foreignkeyshistory.SchemaTransition schemaTransition : schemaTransitions)\n\t\t{\n\t\t\tif (!transitionExists(schemaTransition, otherTransitions)){ return false; }\n\t\t}\n\t\t\n\t\tfor (Map.Entry<String, Integer> entry : otherTransitions.entrySet())\n\t\t{\n\t\t\tif (!transitionExists(entry.getKey(), entry.getValue(), schemaTransitions)){ return false; }\n\t\t}\n\t\t\n\t\treturn true;\n\t}", "public void testRotationMatrix() {\n\n u = 1;\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n // This should be the identity matrix\n double[][] m = rM.getMatrix();\n for(int i=0; i<m.length; i++) {\n for(int j=0; j<m.length; j++) {\n if(j==i) {\n assertEquals(m[i][j], 1, TOLERANCE);\n } else {\n assertEquals(m[i][j], 0, TOLERANCE);\n }\n }\n }\n }", "public static void assertTransitionsEquals(Transition expectedTransitions[],Transition actualTransitions[]){\n\t\t\n\t\tArrayList<String> expectedToString = new ArrayList<String>();\n\t\tArrayList<String> actualToString = new ArrayList<String>();\n\t\n\t\t\n\t\t//populate\n\t\tfor ( Transition expected : expectedTransitions ){\n\t\t\texpectedToString.add(getTransitionString(expected));\n\t\t}\n\n\t\tfor ( Transition actual : actualTransitions ){\n\t\t\tactualToString.add(getTransitionString(actual));\n\t\t}\n\t\t\n\t\t\n\t\t//double check\n\t\tfor ( String expected : expectedToString ){\n\t\t\tif ( ! actualToString.contains(expected) ){\n\t\t\t\tfail(\"Transition \"+expected+\" not found\");\n\t\t\t}\n\t\t}\n\t\t\n\t\tfor ( String actual : actualToString ){\n\t\t\tif ( ! actualToString.contains(actual) ){\n\t\t\t\tfail(\"Transition \"+actual+\" not expected\");\n\t\t\t}\n\t\t}\n\t\t\n\t\t\n\t}", "public static boolean isMatrixType( ProjectDTO type )\n {\n return \"hudson.matrix.MatrixProject\".equals( type.getType() ); //$NON-NLS-1$\n }", "@Test\n public void testMatrixCreation() throws Exception {\n\n testUtilities_3.createAndTestMatrix(false);\n\n }", "@Test\n public void testInversible() {\n System.out.println(\"inversible\");\n Matrix matriz = null;\n boolean expResult = false;\n boolean result = utilsHill.inversible(matriz);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "boolean hasMatrixId();", "private void constructTransitionMatrix() {\r\n\t\tfor(Node node: mNodes) {\r\n\t\t\tint nodeId = node.getId();\r\n\t\t\tint outDegree = node.getOutDegree();\r\n\t\t\tArrayList<NodeTransition> transitionList = new ArrayList<NodeTransition>();\r\n\t\t\t\r\n\t\t\tSet<Integer> outEdges = getOutEdges(nodeId);\r\n\t\t\tfor(Integer edgeId: outEdges) {\r\n\t\t\t\tint toId = getEdge(edgeId).getToId();\r\n\t\t\t\tdouble pTransition = (double) getEdge(edgeId).getWeight() / (double) outDegree;\r\n\t\t\t\ttransitionList.add( new NodeTransition(toId, pTransition) );\r\n\t\t\t}\r\n\t\t\tmTransition.add( transitionList );\r\n\t\t}\r\n\t}", "private boolean isMatrix(Object o) {\n\t\tif(o instanceof String) return isMatrix((String) o);\n\t\telse if(o instanceof Matrix) return true;\n\t\telse return false;\n\t}", "public boolean canIterateAllTransitions () { return false; }", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public boolean getMatrixCheck(){\r\n \treturn this.matrixCheck;\r\n \t}", "@Test\n public void testIsConnected()\n {\n assertEquals(MarkovModel.util.isConnected(P1), true);\n assertEquals(MarkovModel.util.isConnected(P2), false);\n assertEquals(MarkovModel.util.isConnected(P3), false);\n }", "boolean hasMetricTreatment();", "@Test\n public void testStateTransitions3()\n {\n //Undo from starting state\n boolean assertionFailed = false;\n try\n {\n theEngine.undoLastMove();\n }\n catch (AssertionError ae)\n {\n assertionFailed = true;\n }\n \n assertTrue(assertionFailed);\n \n //Undo from playing state\n theEngine.start();\n try\n {\n theEngine.undoLastMove();\n }\n catch (AssertionError ae)\n {\n assertionFailed = true;\n }\n \n //Undo from halted state\n theEngine.quit();\n movePlayerToCell(getEmptyCell());\n theEngine.undoLastMove();\n //didn't throw assertion error, so fine\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inHaltedState());\n }", "@Test(timeout = 4000)\n public void test078() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[][] intArray0 = new int[1][5];\n int[] intArray1 = new int[1];\n intArray1[0] = 2;\n intArray0[0] = intArray1;\n resultMatrixGnuPlot0.setRanking(intArray0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, intArray0.length);\n \n resultMatrixGnuPlot0.setSize(26, 45);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(45, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(26, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(45, resultMatrixGnuPlot0.getRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(26, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.setRowName(2186, \")\");\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(45, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(26, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(45, resultMatrixGnuPlot0.getRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(26, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n }", "@Test\r\n\tpublic void testEqualsMunitions() {\r\n\t\tAssert.assertEquals(true,\r\n\t\t\t\tlist.getFirst().getData().equals(new Munitions(0, 1, \"iron\")));\r\n\t\tAssert.assertEquals(\r\n\t\t\t\tfalse,\r\n\t\t\t\tlist.getFirst().getNext().getData()\r\n\t\t\t\t\t\t.equals(new Munitions(4, 5, \"iron\")));\r\n\t}", "boolean hasModelDelta();", "public boolean addTransition(Transition newTransition) {\n\t\tif (newTransition.checkDeterminism().isEmpty()) {\n\t\t\t// empty,empty to self is not allowed\n\t\t\tif (newTransition.isDoNothingTransition()) {\n\t\t\t\tif (newTransition.destination != this) {\n\t\t\t\t\ttransitions.add(newTransition);\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\t// Was a do nothing transition, disallow\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t\tif (newTransition.getDestination() != null) {\n\t\t\t\t\ttransitions.add(newTransition);\n\t\t\t\t\treturn true;\n\t\t\t\t} else {\n\t\t\t\t\tSystem.out.println(\"ADD TRANSITION: ADDING NULL ATTEMPTED\");\n\t\t\t\t}\n\t\t\t\t// System.out.println(\"wasn't do nothing\");\n\t\t\t}\n\t\t} else {\n\t\t\t// System.out.println(\"wasn't determinisitic\");\n\t\t}\n\t\treturn false;\n\t}", "private void constructTransitionTransposeMatrix() {\r\n\t\tfor(int i=0; i<getNodeCnt(); i++) {\r\n\t\t\tArrayList<NodeTransition> transitionList = new ArrayList<NodeTransition>();\r\n\t\t\tmTransitionTranspose.add( transitionList );\r\n\t\t}\r\n\t\tfor(Node node: mNodes) {\r\n\t\t\tint fromId = node.getId();\r\n\t\t\tint outDegree = node.getOutDegree();\r\n\t\t\t\r\n\t\t\tSet<Integer> outEdges = getOutEdges(fromId);\r\n\t\t\tfor(Integer edgeId: outEdges) {\r\n\t\t\t\tint toId = getEdge(edgeId).getToId();\r\n\t\t\t\tdouble pTransition = (double) getEdge(edgeId).getWeight() / (double) outDegree;\r\n\t\t\t\t\r\n\t\t\t\tArrayList<NodeTransition> transitionList = mTransitionTranspose.get(toId);\r\n\t\t\t\ttransitionList.add( new NodeTransition(fromId, pTransition) );\r\n\t\t\t}\r\n\t\t}\r\n\t}", "boolean isMirror();", "private void testBlackLevelMatrix(BlackLevel[][] matrix)\n {\n for (BlackLevel[] row : matrix)\n {\n double exposureTime = row[0].exposureTime;\n for (BlackLevel blackLevel : row)\n {\n assertEquals(exposureTime, blackLevel.exposureTime, 0.001);\n }\n }\n\n //The ISO of each column should be the same\n /for (int row = 0; row < matrix.length; row ++)\n {\n int iso = matrix[row][0].iso;\n for (int col = 0; col < matrix[row].length; col ++)\n {\n assertEquals(iso, matrix[row][col].iso);\n }\n }/\n }", "@Test(timeout = 4000)\n public void test03() throws Throwable {\n ExpressionMatrixImpl expressionMatrixImpl0 = new ExpressionMatrixImpl();\n ExpressionElementMapperImpl expressionElementMapperImpl0 = new ExpressionElementMapperImpl();\n expressionMatrixImpl0.creatMatrix(1986);\n expressionMatrixImpl0.addNewNode();\n MessageTracerImpl messageTracerImpl0 = new MessageTracerImpl();\n messageTracerImpl0.reset();\n messageTracerImpl0.getMapper();\n expressionMatrixImpl0.creatMatrix(841);\n expressionMatrixImpl0.getNumberOfElements();\n expressionMatrixImpl0.getNumberOfElements();\n expressionMatrixImpl0.setValue(0, 0, 841);\n expressionMatrixImpl0.outNoStandardConnections(true, (ExpressionElementMapper) null);\n expressionMatrixImpl0.toString();\n assertEquals(841, expressionMatrixImpl0.getNumberOfElements());\n }", "public boolean isToeplitzMatrix(int[][] matrix) {\n int i = matrix.length-1;\n int j = 0;\n while(i-1 >= 0) {\n i = i -1;\n //System.out.println(\"try i \" + i);\n if (!check(matrix, i, j)) {\n return false;\n }\n }\n while(j + 1 <= matrix[0].length -1) {\n j = j + 1;\n //System.out.println(\"try j \" + j);\n if (!check(matrix, i, j)) {\n return false;\n }\n }\n return true;\n }", "@Test\n public void testIsSolved() {\n setUpCorrect();\n assertTrue(boardManager.puzzleSolved());\n swapFirstTwoTiles();\n assertFalse(boardManager.puzzleSolved());\n }", "@Test\r\n public void testIsSolved() {\r\n assertTrue(boardManager4.puzzleSolved());\r\n boardManager4.getBoard().swapTiles(0,0,0,1);\r\n assertFalse(boardManager4.puzzleSolved());\r\n }", "@Test(timeout = 4000)\n public void test012() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[] intArray0 = new int[1];\n intArray0[0] = 1;\n resultMatrixLatex0.setRowOrder(intArray0);\n assertArrayEquals(new int[] {1}, intArray0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, intArray0.length);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(1, 1);\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.m_StdDevPrec = 1;\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n \n int int0 = resultMatrixPlainText0.getDefaultCountWidth();\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(5, int0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixGnuPlot0.toStringMatrix();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"(1)\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\", string0);\n \n resultMatrixLatex0.m_ColOrder = intArray0;\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(1, 1);\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixCSV0.m_EnumerateRowNames = true;\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n \n resultMatrixCSV0.clearHeader();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.assign(resultMatrixCSV0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.setCountWidth(661);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string1 = resultMatrixGnuPlot0.toStringSummary();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n \n int int1 = resultMatrixGnuPlot0.getStdDevWidth();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int1);\n assertFalse(int1 == int0);\n \n String string2 = resultMatrixLatex0.trimString(\"\", 2);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"\", string2);\n assertFalse(string2.equals((Object)string1));\n assertFalse(string2.equals((Object)string0));\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setSize(2417, 1);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2417, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2417, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string3 = resultMatrixHTML0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2417, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2417, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string3);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-ranking data not set-\", string3);\n assertFalse(string3.equals((Object)string1));\n assertFalse(string3.equals((Object)string0));\n assertFalse(string3.equals((Object)string2));\n \n String string4 = resultMatrixCSV0.countWidthTipText();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(string4);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The width of the counts (0 = optimal).\", string4);\n assertFalse(string4.equals((Object)string2));\n assertFalse(string4.equals((Object)string0));\n assertFalse(string4.equals((Object)string1));\n assertFalse(string4.equals((Object)string3));\n \n String string5 = resultMatrixLatex0.globalInfo();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(string5);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", string5);\n assertFalse(string5.equals((Object)string0));\n assertFalse(string5.equals((Object)string4));\n assertFalse(string5.equals((Object)string2));\n assertFalse(string5.equals((Object)string1));\n assertFalse(string5.equals((Object)string3));\n \n String[][] stringArray0 = new String[6][8];\n String[] stringArray1 = new String[6];\n stringArray1[0] = \"$circ$\";\n stringArray1[1] = \"]\";\n stringArray1[2] = \" \";\n stringArray1[3] = \"]\";\n stringArray1[4] = \"v\";\n stringArray1[5] = \"The width of the counts (0 = optimal).\";\n stringArray0[0] = stringArray1;\n String[] stringArray2 = new String[9];\n assertFalse(stringArray2.equals((Object)stringArray1));\n \n stringArray2[0] = \"v\";\n stringArray2[1] = \"\";\n stringArray2[2] = \"[\";\n stringArray2[3] = \"-summary data not set-\";\n stringArray2[4] = \"Generates the matrix output in LaTeX-syntax.\";\n stringArray2[5] = \"(\";\n stringArray2[6] = \"(\";\n stringArray2[7] = \" \";\n stringArray2[8] = \" \";\n stringArray0[1] = stringArray2;\n String[] stringArray3 = new String[2];\n assertFalse(stringArray3.equals((Object)stringArray1));\n assertFalse(stringArray3.equals((Object)stringArray2));\n \n stringArray3[0] = \"[\";\n stringArray3[1] = \"[\";\n stringArray0[2] = stringArray3;\n String[] stringArray4 = new String[1];\n assertFalse(stringArray4.equals((Object)stringArray2));\n assertFalse(stringArray4.equals((Object)stringArray1));\n assertFalse(stringArray4.equals((Object)stringArray3));\n \n stringArray4[0] = \"\";\n stringArray0[3] = stringArray4;\n String[] stringArray5 = new String[6];\n assertFalse(stringArray5.equals((Object)stringArray2));\n assertFalse(stringArray5.equals((Object)stringArray1));\n assertFalse(stringArray5.equals((Object)stringArray4));\n assertFalse(stringArray5.equals((Object)stringArray3));\n \n stringArray5[0] = \"$circ$\";\n stringArray5[1] = \"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"(1)\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\";\n stringArray5[2] = \"\";\n stringArray5[3] = \" \";\n stringArray5[4] = \"$circ$\";\n stringArray5[5] = \" \";\n stringArray0[4] = stringArray5;\n String[] stringArray6 = new String[7];\n assertFalse(stringArray6.equals((Object)stringArray5));\n assertFalse(stringArray6.equals((Object)stringArray3));\n assertFalse(stringArray6.equals((Object)stringArray2));\n assertFalse(stringArray6.equals((Object)stringArray1));\n assertFalse(stringArray6.equals((Object)stringArray4));\n \n stringArray6[0] = \"]\";\n stringArray6[1] = \" \";\n stringArray6[2] = \"v\";\n stringArray6[3] = \"v\";\n stringArray6[4] = \" \";\n stringArray6[5] = \"$circ$\";\n stringArray6[6] = \"v\";\n stringArray0[5] = stringArray6;\n // Undeclared exception!\n try { \n resultMatrixLatex0.getColSize(stringArray0, 2, true, true);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 2\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test015() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[7];\n intArray0[0] = 0;\n intArray0[1] = 1;\n intArray0[2] = 952;\n intArray0[3] = 2;\n intArray0[4] = 1;\n intArray0[5] = 1;\n intArray0[6] = 0;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {0, 1, 952, 2, 1, 1, 0}, intArray0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(7, intArray0.length);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean(2, 2);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot1.getRowName(2);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n int int0 = resultMatrixGnuPlot0.getDefaultColNameWidth();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n resultMatrixGnuPlot0.setRowHidden(0, false);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n boolean boolean0 = resultMatrixSignificance0.getDefaultShowStdDev();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n String string2 = resultMatrixGnuPlot0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string2);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int1 = resultMatrixPlainText0.getDisplayRow(44);\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals((-1), int1);\n assertFalse(int1 == int0);\n }", "public boolean tryTransition(@NonNull final TxnAccessor accessor) {\n final var txn = accessor.getTxn();\n final var function = accessor.getFunction();\n final var logic = lookup.lookupFor(function, txn);\n if (logic.isEmpty()) {\n log.warn(\"Transaction w/o applicable transition logic at consensus :: {}\", accessor::getSignedTxnWrapper);\n txnCtx.setStatus(FAIL_INVALID);\n return false;\n } else {\n final var transition = logic.get();\n final var validity = transition.validateSemantics(accessor);\n if (validity != OK) {\n txnCtx.setStatus(validity);\n return false;\n }\n\n try {\n transition.doStateTransition();\n if (opsWithDefaultSuccessStatus.contains(function)) {\n txnCtx.setStatus(SUCCESS);\n }\n } catch (final InvalidTransactionException e) {\n resolveFailure(e.getResponseCode(), accessor, e);\n } catch (final Exception processFailure) {\n ids.reclaimProvisionalIds();\n throw processFailure;\n }\n return true;\n }\n }", "@Test(timeout = 4000)\n public void test011() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixLatex0.setShowAverage(true);\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance1.getColCount());\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertNotNull(resultMatrixSignificance1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n \n String[] stringArray0 = new String[24];\n resultMatrixSignificance0.setColNameWidth(0);\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\n \n stringArray0[0] = \")\";\n stringArray0[1] = \"$circ$\";\n stringArray0[2] = \"\";\n stringArray0[3] = \" \";\n stringArray0[4] = \"$\\bullet$\";\n try { \n resultMatrixSignificance1.setOptions(stringArray0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Utils\", e);\n }\n }", "@Test\n public void testGetMatrixFromVector() {\n System.out.println(\"getMatrixFromVector\");\n Vector instance = null;\n Matrix expResult = null;\n Matrix result = instance.getMatrixFromVector();\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test062() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(0, 1);\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean0 = resultMatrixLatex0.getDefaultPrintRowNames();\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertTrue(boolean0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[][] stringArray0 = new String[3][2];\n String[] stringArray1 = new String[0];\n stringArray0[0] = stringArray1;\n String[] stringArray2 = new String[5];\n assertFalse(stringArray2.equals((Object)stringArray1));\n \n stringArray2[0] = \")\";\n resultMatrixPlainText0.setMeanWidth(2);\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n stringArray2[1] = \")\";\n stringArray2[2] = \"\";\n stringArray2[3] = \"\";\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setOptions(stringArray1);\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertNotSame(stringArray1, stringArray2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, stringArray1.length);\n assertFalse(stringArray1.equals((Object)stringArray2));\n \n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML(1, 2);\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertEquals(2, resultMatrixHTML1.getRowCount());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertEquals(2, resultMatrixHTML1.getVisibleRowCount());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertNotNull(resultMatrixHTML1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n \n ResultMatrixPlainText resultMatrixPlainText1 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertNotNull(resultMatrixPlainText1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n \n ResultMatrixPlainText resultMatrixPlainText2 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText2.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText2.getColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText2.globalInfo());\n assertTrue(resultMatrixPlainText2.getPrintColNames());\n assertFalse(resultMatrixPlainText2.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText2.getDefaultCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText2.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText2.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText2.countWidthTipText());\n assertEquals(0, resultMatrixPlainText2.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixPlainText2.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText2.meanPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText2.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText2.showAverageTipText());\n assertTrue(resultMatrixPlainText2.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText2.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixPlainText2.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText2.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText2.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText2.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText2.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText2.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText2.rowNameWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText2.getDisplayName());\n assertFalse(resultMatrixPlainText2.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText2.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText2.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText2.getColNameWidth());\n assertEquals(2, resultMatrixPlainText2.getMeanPrec());\n assertEquals(1, resultMatrixPlainText2.getRowCount());\n assertEquals(0, resultMatrixPlainText2.getSignificanceWidth());\n assertFalse(resultMatrixPlainText2.getEnumerateRowNames());\n assertEquals(25, resultMatrixPlainText2.getRowNameWidth());\n assertFalse(resultMatrixPlainText2.getShowAverage());\n assertEquals(0, resultMatrixPlainText2.getStdDevWidth());\n assertEquals(1, resultMatrixPlainText2.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText2.getCountWidth());\n assertTrue(resultMatrixPlainText2.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText2.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText2.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText2.stdDevWidthTipText());\n assertEquals(2, resultMatrixPlainText2.getStdDevPrec());\n assertFalse(resultMatrixPlainText2.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText2.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText2.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText2.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText2.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText2.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText2.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText2.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText2.enumerateRowNamesTipText());\n assertNotNull(resultMatrixPlainText2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixPlainText2.equals((Object)resultMatrixPlainText0));\n assertFalse(resultMatrixPlainText2.equals((Object)resultMatrixPlainText1));\n \n resultMatrixPlainText0.setRemoveFilterName(false);\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertNotSame(resultMatrixPlainText0, resultMatrixPlainText1);\n assertNotSame(resultMatrixPlainText0, resultMatrixPlainText2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixPlainText0.equals((Object)resultMatrixPlainText1));\n assertFalse(resultMatrixPlainText0.equals((Object)resultMatrixPlainText2));\n \n String string0 = resultMatrixPlainText1.globalInfo();\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertNotNull(string0);\n assertNotSame(resultMatrixPlainText1, resultMatrixPlainText2);\n assertNotSame(resultMatrixPlainText1, resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", string0);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText2));\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n boolean boolean1 = resultMatrixGnuPlot0.getDefaultEnumerateRowNames();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean1);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(boolean1 == boolean0);\n \n String string1 = resultMatrixGnuPlot0.trimString(\"\", 4);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(string1);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"\", string1);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(string1.equals((Object)string0));\n }", "@Test\n //checks for state switching (on/off)\n void SwitchStates() {\n Assertions.assertFalse(machine.isTurnedOn());\n\n //then, switch on and check if on\n machine.setTurnedOn(true);\n Assertions.assertTrue(machine.isTurnedOn());\n\n //switch off to see if turned off correctly\n machine.setTurnedOn(false);\n Assertions.assertFalse(machine.isTurnedOn());\n\n //and now check the inversion\n machine.flipSwitch();\n\n Assertions.assertTrue(machine.isTurnedOn());\n }", "@LargeTest\n public void testColorMatrix() {\n TestAction ta = new TestAction(TestName.COLOR_MATRIX);\n runTest(ta, TestName.COLOR_MATRIX.name());\n }", "public void compararMatrix(Estado_q es1, Estado_q es2, int filest,short tam,int tamañoEsta){\n if(es1.isFinal()==es2.isFinal()){\n //contador para vecto de alfabeto o transiciones\n int con=0;\n //si son inidistinguibles los estados, se insertan en la matriz sus estados destinos respecto a transiciones\n for(int cont=1;cont<=(int)tam;cont++){\n matrix[filest][cont].setEst1(es1.getTransiçaosE(con));\n matrix[filest][cont].setEst2(es2.getTransiçaosE(con)); \n con++;\n }\n //comparamos en la misma fila y distintas columnas, si hay alguna pareja igual a la original, para revisarla\n //pareja original es la de la columna 0, de donde se obtuvieron los estados de las columnas insertadas\n for(int k=1;k<=(int)tam;k++){\n if((matrix[filest][k].getEst1().getNombre()==es1.getNombre())&&(matrix[filest][k].getEst2().getNombre()\n ==es2.getNombre())){\n matrix[filest][k].setRevisado(true);\n }\n }\n //se setea verdadera la revision de la posicion donde estabamos\n matrix[filest][0].setRevisado(true);\n \n //terminado de insertar todos los estados es una fila(for de arriba), se lee la matrix a buscar nuevos estados sin revisar\n //para colocarlos una posicion mas abajo\n for(int fil=0;fil<=tamañoEsta;fil++){\n for(int col=0;col<=(int)tam;col++){\n \n //se busca en la matriz alguna pareja de estados que sea igual a la original para marcarla revisada\n if((matrix[fil][col]!=null)&&(matrix[fil][col].getEst1().getNombre()==es1.getNombre())&&\n (matrix[fil][col].getEst2().getNombre())==es2.getNombre()){\n matrix[fil][col].setRevisado(true);\n }\n \n //si la casilla no esta revisada\n if((matrix[fil][col].isRevisado()==false)&&(matrix[fil][col]!=null)){\n \n //vamos a buscar si no esta esta posicion ya verificada\n for(int row=0;row<=tamañoEsta;row++){\n for(int cols=0;cols<=(int)tam;cols++){\n if((matrix[fil][col].getEst1().getNombre()==matrix[row][cols].getEst1().getNombre())&&\n (matrix[fil][col].getEst2().getNombre()==matrix[row][cols].getEst2().getNombre())\n &&(matrix[row][cols].isRevisado()==true)){\n matrix[fil][col].setRevisado(true);\n }\n }\n }\n if((matrix[fil][col].isRevisado()==false)&&(matrix[fil][col]!=null)){\n \n //si la siguiente fila esta nula\n if(matrix[fil+1][0]==null){\n //se inerta la casilla con sus estados en una fila abajo\n matrix[fil+1][0].setEst1(matrix[fil][col].getEst1());\n matrix[fil+1][0].setEst2(matrix[fil][col].getEst2());\n tamañoEsta++;\n //se vuelve a llamar al metodo, para volver a verificar desde la columna e estados si son inidistinguibles\n compararMatrix(matrix[fil][col].getEst1(),matrix[fil][col].getEst2(),filest+1,tam,tamañoEsta);\n\n }\n else\n {\n matrix[col][0].setEst1(matrix[fil][col].getEst1());\n matrix[col][0].setEst2(matrix[fil][col].getEst2());\n //se vuelve a llamar al metodo, para volver a verificar desde la columna e estados si son inidistinguibles\n compararMatrix(matrix[fil][col].getEst1(),matrix[fil][col].getEst2(),filest+1,tam,tamañoEsta);\n\n }\n }\n }\n } \n }\n System.out.print(\"SI son equivalentes\");\n \n }\n else\n System.out.print(\"NO son equivalentes\");\n \n \n }", "@Test(timeout = 4000)\n public void test036() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[][] intArray0 = new int[0][1];\n // Undeclared exception!\n try { \n resultMatrixLatex0.setSummary((int[][]) null, (int[][]) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "private Boolean isValidColumnMatrix(SimpleMatrix matrix) {\n\t\tInteger nrows = matrix.numRows();\n\t\tInteger ncols = matrix.numCols();\n\n\t\treturn (ncols == 1) && (nrows == 3);\n\t}", "@Test(timeout = 4000)\n public void test112() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixCSV0.toStringKey();\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Key,\\n[1],col0\\n\", string0);\n \n String string1 = resultMatrixCSV0.toStringMatrix();\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Dataset,[1]\\nrow0,''\\n'[v/ /]',''\\n\", string1);\n assertFalse(string1.equals((Object)string0));\n \n String string2 = resultMatrixCSV0.toStringRanking();\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(string2.equals((Object)string1));\n \n resultMatrixCSV0.setColName((-158), \")\");\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(0, 4);\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(4, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(4, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.toStringMatrix();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "public static boolean isMatrixConfig( ProjectDTO type )\n {\n return \"hudson.matrix.MatrixConfiguration\".equals( type.getType() ); //$NON-NLS-1$\n }", "@Test(timeout = 4000)\n public void test115() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setPrintColNames(false);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "public boolean checkmatorder()\n\t{\n\t\torderflag=false;\n\t\tif(height<width)\n\t\t{\n\t\t\tmatrix=new double[height][width];\n\t\t\torderflag=true;\n\t\t}\n\t\telse if(height>=width)\n\t\t{\n\t\t\tmatrix=new double[width][height];\n\t\t}\t\n\t\treturn orderflag;\n\t}", "@Test(timeout = 4000)\n public void test02() throws Throwable {\n ExpressionMatrixImpl expressionMatrixImpl0 = new ExpressionMatrixImpl();\n ExpressionElementMapperImpl expressionElementMapperImpl0 = new ExpressionElementMapperImpl();\n expressionMatrixImpl0.toString();\n expressionMatrixImpl0.creatMatrix(1986);\n expressionMatrixImpl0.creatMatrix(1986);\n expressionMatrixImpl0.addNewNode();\n MessageTracerImpl messageTracerImpl0 = new MessageTracerImpl();\n MessageTracerImpl messageTracerImpl1 = new MessageTracerImpl();\n messageTracerImpl0.getMapper();\n ExpressionMatrixImpl expressionMatrixImpl1 = new ExpressionMatrixImpl();\n expressionMatrixImpl1.getNumberOfElements();\n expressionMatrixImpl0.getNumberOfElements();\n expressionMatrixImpl0.setValue(0, 47, 0);\n messageTracerImpl0.getMapper();\n expressionMatrixImpl0.outNoStandardConnections(true, (ExpressionElementMapper) null);\n expressionMatrixImpl0.toString();\n assertEquals(1986, expressionMatrixImpl0.getNumberOfElements());\n }", "@Test(timeout = 4000)\n public void test026() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertNotNull(resultMatrixHTML0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixPlainText0.setRowNameWidth(1489);\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertNotNull(stringArray0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(19, stringArray0.length);\n \n int int0 = resultMatrixPlainText0.getDefaultStdDevWidth();\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n }", "@Test(timeout = 4000)\n public void test035() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.setRowNameWidth(1);\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertNotNull(stringArray0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(19, stringArray0.length);\n \n String string0 = resultMatrixPlainText0.enumerateRowNamesTipText();\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", string0);\n \n int[] intArray0 = new int[3];\n intArray0[0] = 0;\n intArray0[1] = 2;\n intArray0[2] = 2;\n resultMatrixHTML0.setRowOrder(intArray0);\n assertArrayEquals(new int[] {0, 2, 2}, intArray0);\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(3, intArray0.length);\n }", "@Test(timeout = 4000)\n public void test054() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(11, 0);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(11, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(11, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n double double0 = resultMatrixGnuPlot0.getMean(1, 48);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(11, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(11, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n String[] stringArray0 = new String[3];\n stringArray0[0] = \"\";\n stringArray0[1] = \"\";\n stringArray0[2] = \"$circ$\";\n ResultMatrixGnuPlot.main(stringArray0);\n assertEquals(3, stringArray0.length);\n \n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(11, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(11, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex1.showStdDevTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\n assertEquals(50, resultMatrixLatex1.getRowNameWidth());\n assertEquals(11, resultMatrixLatex1.getVisibleColCount());\n assertFalse(resultMatrixLatex1.getShowAverage());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex1.globalInfo());\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex1.getRowCount());\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex1.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex1.meanWidthTipText());\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex1.getCountWidth());\n assertTrue(resultMatrixLatex1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex1.showAverageTipText());\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex1.getVisibleRowCount());\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex1.printRowNamesTipText());\n assertTrue(resultMatrixLatex1.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex1.meanPrecTipText());\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex1.countWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex1.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex1.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex1.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex1.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\n assertFalse(resultMatrixLatex1.getShowStdDev());\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\n assertEquals(11, resultMatrixLatex1.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex1.printColNamesTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex1.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex1.rowNameWidthTipText());\n assertNotNull(resultMatrixLatex1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\n \n ResultMatrixLatex resultMatrixLatex2 = new ResultMatrixLatex(26, 28);\n assertFalse(resultMatrixLatex2.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex2.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex2.showAverageTipText());\n assertEquals(28, resultMatrixLatex2.getRowCount());\n assertEquals(26, resultMatrixLatex2.getVisibleColCount());\n assertEquals(26, resultMatrixLatex2.getColCount());\n assertFalse(resultMatrixLatex2.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex2.meanPrecTipText());\n assertEquals(2, resultMatrixLatex2.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex2.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex2.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex2.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex2.getColNameWidth());\n assertEquals(0, resultMatrixLatex2.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex2.countWidthTipText());\n assertEquals(0, resultMatrixLatex2.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex2.getDefaultRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex2.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex2.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex2.stdDevPrecTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex2.significanceWidthTipText());\n assertFalse(resultMatrixLatex2.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex2.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex2.getMeanPrec());\n assertEquals(0, resultMatrixLatex2.getCountWidth());\n assertFalse(resultMatrixLatex2.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex2.printColNamesTipText());\n assertEquals(28, resultMatrixLatex2.getVisibleRowCount());\n assertTrue(resultMatrixLatex2.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex2.getSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex2.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex2.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex2.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex2.globalInfo());\n assertFalse(resultMatrixLatex2.getShowAverage());\n assertTrue(resultMatrixLatex2.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex2.getRowNameWidth());\n assertFalse(resultMatrixLatex2.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex2.getDefaultRowNameWidth());\n assertTrue(resultMatrixLatex2.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex2.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex2.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex2.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex2.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex2.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex2.getStdDevPrec());\n assertFalse(resultMatrixLatex2.getDefaultShowAverage());\n assertFalse(resultMatrixLatex2.getRemoveFilterName());\n assertFalse(resultMatrixLatex2.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex2.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex2.stdDevWidthTipText());\n assertNotNull(resultMatrixLatex2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixLatex2.equals((Object)resultMatrixLatex0));\n assertFalse(resultMatrixLatex2.equals((Object)resultMatrixLatex1));\n \n // Undeclared exception!\n try { \n resultMatrixLatex2.toStringHeader();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "public List<Transition> getInTransitions() {\r\n\t\treturn inTransitions;\r\n\t}", "@Test(timeout = 4000)\n public void test037() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML(1, 1);\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(1, resultMatrixHTML1.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertNotNull(resultMatrixHTML1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n \n ResultMatrixPlainText resultMatrixPlainText1 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertNotNull(resultMatrixPlainText1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n \n ResultMatrixPlainText resultMatrixPlainText2 = new ResultMatrixPlainText();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText2.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText2.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText2.significanceWidthTipText());\n assertFalse(resultMatrixPlainText2.getShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText2.getDisplayName());\n assertEquals(0, resultMatrixPlainText2.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText2.getRowNameWidth());\n assertTrue(resultMatrixPlainText2.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText2.getMeanWidth());\n assertTrue(resultMatrixPlainText2.getEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText2.showStdDevTipText());\n assertEquals(1, resultMatrixPlainText2.getColCount());\n assertEquals(0, resultMatrixPlainText2.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText2.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText2.getRowCount());\n assertTrue(resultMatrixPlainText2.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText2.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText2.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixPlainText2.getVisibleRowCount());\n assertFalse(resultMatrixPlainText2.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText2.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText2.getStdDevPrec());\n assertFalse(resultMatrixPlainText2.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText2.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText2.printRowNamesTipText());\n assertFalse(resultMatrixPlainText2.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText2.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText2.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText2.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText2.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText2.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText2.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText2.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText2.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText2.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText2.showAverageTipText());\n assertTrue(resultMatrixPlainText2.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText2.countWidthTipText());\n assertFalse(resultMatrixPlainText2.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText2.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText2.getCountWidth());\n assertEquals(0, resultMatrixPlainText2.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText2.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText2.getMeanPrec());\n assertEquals(1, resultMatrixPlainText2.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText2.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText2.getColNameWidth());\n assertEquals(0, resultMatrixPlainText2.getSignificanceWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText2.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText2.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText2.removeFilterNameTipText());\n assertNotNull(resultMatrixPlainText2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixPlainText2.equals((Object)resultMatrixPlainText0));\n assertFalse(resultMatrixPlainText2.equals((Object)resultMatrixPlainText1));\n \n resultMatrixPlainText0.setRemoveFilterName(true);\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertNotSame(resultMatrixPlainText0, resultMatrixPlainText1);\n assertNotSame(resultMatrixPlainText0, resultMatrixPlainText2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixPlainText0.equals((Object)resultMatrixPlainText1));\n assertFalse(resultMatrixPlainText0.equals((Object)resultMatrixPlainText2));\n \n String string0 = resultMatrixPlainText1.globalInfo();\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertNotNull(string0);\n assertNotSame(resultMatrixPlainText1, resultMatrixPlainText0);\n assertNotSame(resultMatrixPlainText1, resultMatrixPlainText2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", string0);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText2));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean0 = resultMatrixGnuPlot0.getDefaultEnumerateRowNames();\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n }", "private Boolean isValidMatrix(List<List<Double>> matrix) {\n\t\tInteger nrows = matrix.size();\n\n\t\tList<Integer> rowLengths = matrix.stream().map(List::size).toList();\n\t\tfloat ncols = (float) rowLengths.stream().mapToInt(Integer::intValue).sum() / rowLengths.size();\n\n\t\treturn (ncols == nrows) && (nrows == 3);\n\t}", "@Test(timeout = 4000)\n public void test056() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(2, 20);\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(20, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(20, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(20, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(20, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean((-75), 2);\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(20, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(20, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixHTML0);\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot1.getRowName((-329));\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n int int0 = resultMatrixGnuPlot1.getDefaultColNameWidth();\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n }", "@Before\n public void setUp() throws Exception {\n myM = new Matrix();\n /* matrix1 = new int[4][4];\n for (int i = 0; i < matrix1.length; i++) {\n for (int j = 0; j < matrix1[0].length; j++) {\n if( i == j) {\n matrix1[i][j] = 1;\n }\n }\n }\n matrix2 = new int[6][6];\n for (int i = 0; i < matrix2.length; i++) {\n for (int j = 0; j < matrix2[0].length; j++) {\n matrix2[i][j] = i;\n }\n }\n matrix3 = new int[3][4];\n for (int i = 0; i < matrix3.length; i++) {\n for (int j = 0; j < matrix3[0].length; j++) {\n if( i == j) {\n matrix3[i][j] = 1;\n }\n\n }\n } */\n }", "@Test(timeout = 4000)\n public void test083() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixPlainText0.getColName(0);\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"(1) col0\", string0);\n \n resultMatrixPlainText0.setPrintRowNames(false);\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixPlainText0.setRowNameWidth(0);\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertNotNull(stringArray0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(19, stringArray0.length);\n \n int int0 = ResultMatrix.SIGNIFICANCE_LOSS;\n assertEquals(2, int0);\n }", "@Test\n public void testIsValidonValidMap() {\n boolean expResult = true;\n boolean result = mapModel.isValid();\n assertEquals(expResult, result);\n }", "@Test\n public void testGetInversa() {\n System.out.println(\"getInversa\");\n double[][] mat = new double[][] {{120,111,721},{770,110,121},{115,417,221}};\n\n// double[][] mat = new double[][]{{476,555,678},{250,345,455},{551,145,725}};\n// double[][] mat = new double[][]{{478,592,327},{295,712,592},{674,417,556}};\n// double[][] mat = new double[][]{{130,150,121},{245,580,756},{567,445,624}};\n// double[][] mat = new double[][]{{553,721,317},{454,315,699},{640,755,418}};\n// double[][] mat = new double[][]{{338,687,437},{445,132,647},{523,459,147}};\n Matrix matrix = new Matrix(mat);\n Matrix expResult = null;\n Matrix result = utilsHill.getInversa(matrix);\n utilsHill.printMatrix(result);\n assertEquals(expResult, result);\n }", "@Test\n public void stateExample1() {\n MarbleSolitaireModel exampleBoard = new MarbleSolitaireModelImpl(5);\n assertEquals(\" O O O O O\\n\"\n + \" O O O O O\\n\"\n + \" O O O O O\\n\"\n + \" O O O O O\\n\"\n + \"O O O O O O O O O O O O O\\n\"\n + \"O O O O O O O O O O O O O\\n\"\n + \"O O O O O O _ O O O O O O\\n\"\n + \"O O O O O O O O O O O O O\\n\"\n + \"O O O O O O O O O O O O O\\n\"\n + \" O O O O O\\n\"\n + \" O O O O O\\n\"\n + \" O O O O O\\n\"\n + \" O O O O O\", exampleBoard.getGameState());\n }", "@Test(timeout = 4000)\n public void test024() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixHTML0.setRemoveFilterName(false);\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixHTML0.setShowStdDev(true);\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixHTML0);\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixCSV0.getSummaryTitle(26);\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"a\", string0);\n \n String string1 = resultMatrixCSV0.toString();\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertNotNull(string1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Dataset,(1),''\\nrow0,'',''\\n'(v/ /)','',''\\n\", string1);\n assertFalse(string1.equals((Object)string0));\n \n resultMatrixCSV0.setSignificanceWidth(0);\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string2 = resultMatrixCSV0.toStringKey();\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertNotNull(string2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Key,\\n(1),col0\\n\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(string2.equals((Object)string1));\n \n int[] intArray0 = new int[2];\n intArray0[0] = 0;\n intArray0[1] = 2;\n resultMatrixHTML0.m_RankingWins = intArray0;\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(26, 2);\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(26, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(26, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string3 = resultMatrixSignificance0.toStringRanking();\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(26, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(26, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertNotNull(string3);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-ranking data not set-\", string3);\n assertFalse(string3.equals((Object)string1));\n assertFalse(string3.equals((Object)string2));\n assertFalse(string3.equals((Object)string0));\n \n String string4 = resultMatrixSignificance0.toStringKey();\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(26, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(26, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertNotNull(string4);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Key:\\n(1) col0\\n(2) col1\\n(3) col2\\n(4) col3\\n(5) col4\\n(6) col5\\n(7) col6\\n(8) col7\\n(9) col8\\n(10) col9\\n(11) col10\\n(12) col11\\n(13) col12\\n(14) col13\\n(15) col14\\n(16) col15\\n(17) col16\\n(18) col17\\n(19) col18\\n(20) col19\\n(21) col20\\n(22) col21\\n(23) col22\\n(24) col23\\n(25) col24\\n(26) col25\\n\", string4);\n assertFalse(string4.equals((Object)string2));\n assertFalse(string4.equals((Object)string3));\n assertFalse(string4.equals((Object)string1));\n assertFalse(string4.equals((Object)string0));\n \n boolean boolean0 = resultMatrixCSV0.isSignificance((-347));\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = null;\n try {\n resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixHTML0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "public static java.util.Comparator getIS_SAME_TRANSITION() {\n if (org.xms.g.utils.GlobalEnvSetting.isHms()) {\n org.xms.g.utils.XmsLog.d(\"XMSRouter\", \"com.huawei.hms.location.ActivityConversionRequest.IS_EQUAL_CONVERSION\");\n return com.huawei.hms.location.ActivityConversionRequest.IS_EQUAL_CONVERSION;\n } else {\n org.xms.g.utils.XmsLog.d(\"XMSRouter\", \"com.google.android.gms.location.ActivityTransitionRequest.IS_SAME_TRANSITION\");\n return com.google.android.gms.location.ActivityTransitionRequest.IS_SAME_TRANSITION;\n }\n }", "@Test(timeout = 4000)\n public void test089() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.setRowNameWidth(1489);\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertNotNull(stringArray0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(19, stringArray0.length);\n \n String string0 = resultMatrixCSV0.enumerateColNamesTipText();\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", string0);\n }", "@Test(timeout = 4000)\n public void test121() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.setSignificanceWidth(0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test\n public void testStateTransitions2()\n {\n theEngine.start();\n letPlayerWin();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inWonState());\n \n //Player won -> Halted\n theEngine.quit();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inWonState());\n \n //Player won -> Player died\n killPlayerByPlayerMove();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inWonState());\n \n //Undo from player won state\n theEngine.undoLastMove();\n //didn't throw assertion error, so this is fine\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inHaltedState());\n }", "@Test(timeout = 4000)\n public void test16() throws Throwable {\n ExpressionMatrixImpl expressionMatrixImpl0 = new ExpressionMatrixImpl();\n ExpressionElementMapperImpl expressionElementMapperImpl0 = new ExpressionElementMapperImpl();\n expressionMatrixImpl0.addNewNode();\n expressionMatrixImpl0.getValue(0, 0);\n expressionMatrixImpl0.addNewNode();\n expressionMatrixImpl0.toString();\n expressionMatrixImpl0.getValue(1, 1);\n ExpressionElementMapperItemImpl expressionElementMapperItemImpl0 = new ExpressionElementMapperItemImpl();\n expressionMatrixImpl0.creatMatrix(20);\n expressionMatrixImpl0.setValue(0, (-1), (-1));\n expressionMatrixImpl0.getNumberOfNodes();\n assertEquals(20, expressionMatrixImpl0.getNumberOfElements());\n }", "public boolean isTransformed() {\n\treturn nonIdentityTx;\n }", "public void testMigrationIsNeededOnData() {\n Version firstVsmLoadedVersion = checkVsmFileMigrationStatus(URI.createPlatformPluginURI(VSM_PATH, true), true);\n Version secondVsmLoadedVersion = checkVsmFileMigrationStatus(URI.createPlatformPluginURI(VSM_WITH_REF_TO_MIGRATED_VSM_PATH, true), true);\n Version firstRepresentationsFileloadedVersion = checkRepresentationFileMigrationStatus(URI.createPlatformPluginURI(AIRD_PATH, true), true);\n Version secondRepresentationsFileloadedVersion = checkRepresentationFileMigrationStatus(URI.createPlatformPluginURI(AIRD_WITH_REF_TO_MIGRATED_VSM_PATH, true), true);\n\n // Check that the migration is needed.\n Version firstVsmMigrationVersion = new OptionalLayersVSMMigrationParticipant().getMigrationVersion();\n assertTrue(\"Data corrupted: The first VSM should require a migration corresponding to the optional layers.\",\n firstVsmLoadedVersion == null \|\| firstVsmMigrationVersion.compareTo(firstVsmLoadedVersion) > 0);\n\n Version secondVsmMigrationVersion = new OptionalLayersVSMMigrationParticipant().getMigrationVersion();\n assertTrue(\"Data corrupted: The first VSM should require a migration corresponding to the optional layers.\",\n secondVsmLoadedVersion == null \|\| secondVsmMigrationVersion.compareTo(secondVsmLoadedVersion) > 0);\n\n Version firstRepresentationsFileMigrationVersion = DiagramRepresentationsFileMigrationParticipantV690.MIGRATION_VERSION;\n assertTrue(\"Data corrupted: The representations file should require a migration corresponding to the optional layers.\", firstRepresentationsFileloadedVersion == null\n \|\| firstRepresentationsFileMigrationVersion.compareTo(firstRepresentationsFileloadedVersion) > 0);\n\n Version secondRepresentationsFileMigrationVersion = DiagramRepresentationsFileMigrationParticipantV690.MIGRATION_VERSION;\n assertTrue(\"Data corrupted: The representations file should require a migration corresponding to the optional layers.\", secondRepresentationsFileloadedVersion == null\n \|\| secondRepresentationsFileMigrationVersion.compareTo(secondRepresentationsFileloadedVersion) > 0);\n }", "@Test(timeout = 4000)\n public void test08() throws Throwable {\n ExpressionMatrixImpl expressionMatrixImpl0 = new ExpressionMatrixImpl();\n ExpressionElementMapperImpl expressionElementMapperImpl0 = new ExpressionElementMapperImpl();\n expressionMatrixImpl0.outNoStandardConnections(false, expressionElementMapperImpl0);\n expressionMatrixImpl0.creatMatrix(1986);\n int int0 = 2743;\n expressionMatrixImpl0.creatMatrix(2743);\n expressionMatrixImpl0.addNewNode();\n boolean boolean0 = false;\n MessageTracerImpl messageTracerImpl0 = new MessageTracerImpl();\n messageTracerImpl0.reset();\n MessageTracerImpl messageTracerImpl1 = new MessageTracerImpl();\n messageTracerImpl1.getMapper();\n expressionMatrixImpl0.outNoStandardConnections(false, (ExpressionElementMapper) null);\n expressionMatrixImpl0.creatMatrix(32768);\n // Undeclared exception!\n expressionMatrixImpl0.addNewNode();\n }", "@Test(timeout = 4000)\n public void test002() throws Throwable {\n Boolean boolean0 = SQLUtil.mutatesStructure(\"drop materialized view\");\n assertTrue(boolean0);\n }", "@Test(timeout = 4000)\n public void test018() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixHTML.main((String[]) null);\n String string0 = resultMatrixHTML0.printRowNamesTipText();\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Whether to output row names or just numbers representing them.\", string0);\n }", "public void checkAndDisplayMatrix() {\n if (checkMatrixBounds()) {\n setImageViewMatrix(getDrawMatrix());\n }\n }", "boolean hasTransform2DValue();", "@Test\n public void testSetMatrixColumn() {\n final Matrix33d mBase = getMatrix();\n final Matrix33d m = getMatrix();\n final Vector3d v = new Vector3d(D10, D11, D12);\n\n m.setMatrixColumn(v, 1);\n for (int i = 0; i < m.getA().length; i++) {\n if (i > 2 && i < 6) {\n // compare the row set to the vector values\n int vectorIndex = i - 3;\n assertEquals(m.getA()[i], v.a[vectorIndex]);\n } else {\n assertEquals(m.getA()[i], mBase.getA()[i]);\n }\n }\n }", "@Test\n public void stateExample2() {\n MarbleSolitaireModel exampleBoard = new MarbleSolitaireModelImpl();\n assertEquals(\" O O O\\n\"\n + \" O O O\\n\"\n + \"O O O O O O O\\n\"\n + \"O O O _ O O O\\n\"\n + \"O O O O O O O\\n\"\n + \" O O O\\n\"\n + \" O O O\", exampleBoard.getGameState());\n }", "@Test(timeout = 4000)\n public void test023() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixHTML0);\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixGnuPlot0.setCount((-1845), (-3199.2467));\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(0, 2082);\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(2082, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2082, resultMatrixLatex0.getRowCount());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n boolean boolean0 = resultMatrixLatex0.getDefaultPrintRowNames();\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(2082, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2082, resultMatrixLatex0.getRowCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertTrue(boolean0);\n }", "@Test(timeout = 4000)\n public void test07() throws Throwable {\n ExpressionMatrixImpl expressionMatrixImpl0 = new ExpressionMatrixImpl();\n ExpressionElementMapperImpl expressionElementMapperImpl0 = new ExpressionElementMapperImpl();\n MessageTracerImpl messageTracerImpl0 = new MessageTracerImpl();\n messageTracerImpl0.reset();\n messageTracerImpl0.getMapper();\n expressionMatrixImpl0.creatMatrix(809);\n expressionMatrixImpl0.toString();\n expressionMatrixImpl0.addNewNode();\n expressionMatrixImpl0.setValue(0, 2, 809);\n expressionMatrixImpl0.outNoStandardConnections(false, (ExpressionElementMapper) null);\n int int0 = expressionMatrixImpl0.addNewNode();\n assertEquals(809, expressionMatrixImpl0.getNumberOfElements());\n assertEquals(1, int0);\n }", "@Test(timeout = 4000)\n public void test06() throws Throwable {\n ExpressionMatrixImpl expressionMatrixImpl0 = new ExpressionMatrixImpl();\n expressionMatrixImpl0.creatMatrix((-1));\n expressionMatrixImpl0.creatMatrix(1430);\n expressionMatrixImpl0.addNewNode();\n MessageTracerImpl messageTracerImpl0 = new MessageTracerImpl();\n HL72XMLImpl hL72XMLImpl0 = new HL72XMLImpl();\n messageTracerImpl0.reset();\n messageTracerImpl0.getMapper();\n expressionMatrixImpl0.creatMatrix(38);\n expressionMatrixImpl0.toString();\n expressionMatrixImpl0.getNumberOfElements();\n expressionMatrixImpl0.addNewNode();\n expressionMatrixImpl0.setValue(0, 31, (-1244));\n expressionMatrixImpl0.outNoStandardConnections(false, (ExpressionElementMapper) null);\n expressionMatrixImpl0.toString();\n assertEquals(38, expressionMatrixImpl0.getNumberOfElements());\n }", "private String transitionTable() {\r\n\r\n\t\tString transitionTable = \"\t\";\r\n\t\tchar[][] matrix = new char[numStates.size() + 1][alphabet.size() + 1];\r\n\t\tStringBuilder bldmatrix = new StringBuilder();\r\n\r\n\t\tfor (int i = 0; i < matrix.length; i++) {\r\n\t\t\tfor (int j = 0; j < matrix[i].length; j++) {\r\n\t\t\t\tif (i == 0) {\r\n\t\t\t\t\tif (j == 0) {\r\n\t\t\t\t\t\tmatrix[i][j] = ' ';\r\n\t\t\t\t\t} else {\r\n\t\t\t\t\t\tArrayList<Character> trans = new ArrayList<>(alphabet);\r\n\t\t\t\t\t\tmatrix[i][j] = trans.get(j - 1);\r\n\t\t\t\t\t}\r\n\t\t\t\t} else {\r\n\t\t\t\t\tif (j == 0) {\r\n\t\t\t\t\t\tmatrix[i][j] = numStates.get(i - 1).getName().charAt(0);\r\n\r\n\t\t\t\t\t} else {\r\n\r\n\t\t\t\t\t\tArrayList<Character> trans2 = new ArrayList<>(alphabet);\r\n\t\t\t\t\t\tmatrix[i][j] = ((NFAState) getToState(numStates.get(i - 1), trans2.get(j - 1))).getName()\r\n\t\t\t\t\t\t\t\t.charAt(0);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\tfor (int x = 0; x < matrix.length; x++) {\r\n\t\t\tfor (int y = 0; y < matrix[x].length; y++) {\r\n\t\t\t\tbldmatrix.append(\"\\t\" + matrix[x][y]);\r\n\r\n\t\t\t}\r\n\t\t\tbldmatrix.append(\"\\n\");\r\n\t\t}\r\n\r\n\t\ttransitionTable = bldmatrix.toString();\r\n\r\n\t\treturn transitionTable;\r\n\r\n\t}", "boolean hasTreeNodeIdForVariantMatrix();", "@LargeTest\n public void testIntrinsicsColorMatrix() {\n TestAction ta = new TestAction(TestName.INTRINSICS_COLOR_MATRIX);\n runTest(ta, TestName.INTRINSICS_COLOR_MATRIX.name());\n }", "@Test\n public void stateExample3() {\n MarbleSolitaireModel exampleBoard = new MarbleSolitaireModelImpl(2, 4);\n assertEquals(\" O O O\\n\"\n + \" O O O\\n\"\n + \"O O O O _ O O\\n\"\n + \"O O O O O O O\\n\"\n + \"O O O O O O O\\n\"\n + \" O O O\\n\"\n + \" O O O\", exampleBoard.getGameState());\n }", "@Override\n\t\tprotected void doTransition() {\n\t\t\t\n\t\t}", "@Test\n public void testGetMatrixColumn() {\n final Matrix33d m = getMatrix();\n final Vector3d expected = V2;\n final Vector3d v = new Vector3d();\n m.getMatrixColumn(v, 1);\n assertEquals(v.toString(), expected.toString());\n }", "@Test\n public void stateExample2() {\n MarbleSolitaireModel exampleBoard = new TriangleSolitaireModelImpl(7);\n assertEquals(\" _\\n\" +\n \" O O\\n\" +\n \" O O O\\n\" +\n \" O O O O\\n\" +\n \" O O O O O\\n\" +\n \" O O O O O O\\n\" +\n \"O O O O O O O\", exampleBoard.getGameState());\n }", "@Test(timeout = 4000)\n public void test15() throws Throwable {\n ExpressionMatrixImpl expressionMatrixImpl0 = new ExpressionMatrixImpl();\n expressionMatrixImpl0.getNumberOfNodes();\n int int0 = expressionMatrixImpl0.getValue(0, 0);\n assertEquals((-1), int0);\n \n int int1 = expressionMatrixImpl0.getNumberOfNodes();\n assertFalse(int1 == int0);\n }", "private boolean compareMatrix(int[][] result , int[][] expected){\n if(result.length != expected.length \|\| result[0].length != expected[0].length){\n return false;\n }\n for(int i=0;i<result.length;i++){\n for(int j=0;j<result[0].length;j++){\n\n if(result[i][j] != expected[i][j]){\n return false;\n }\n }\n }\n return true;\n }", "@Test\r\n public void testIsMatin() {\r\n System.out.println(\"****************\");\r\n System.out.println(\"Test : isMatin\");\r\n Cours_Reservation instance = new Cours_Reservation();\r\n instance.setMatin(false);\r\n boolean expResult = false;\r\n boolean result = instance.isMatin();\r\n assertEquals(expResult, result);\r\n }", "@Test\n public void stateExample1() {\n MarbleSolitaireModel exampleBoard = new TriangleSolitaireModelImpl();\n assertEquals(\" _\\n\" +\n \" O O\\n\" +\n \" O O O\\n\" +\n \" O O O O\\n\" +\n \"O O O O O\", exampleBoard.getGameState());\n }", "@Test\n public void testDeterminante() {\n System.out.println(\"determinante\");\n Matrix matrix = null;\n double expResult = 0.0;\n double result = utilsHill.determinante(matrix);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void testIsModal() {\n System.out.println(\"isModal\");\n Wizard instance = new Wizard();\n boolean expResult = false;\n boolean result = instance.isModal();\n assertEquals(expResult, result);\n }", "public boolean isNextTransitionForward() {\n int transit = this.mAppTransition.getAppTransition();\n return transit == 6 \|\| transit == 8 \|\| transit == 10;\n }", "public IRTransitionColl getEnabledTransitions()\n throws OculusException;", "@Test(timeout = 4000)\n public void test064() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int int0 = resultMatrixGnuPlot0.getColSize((String[][]) null, (-3319), false, true);\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int0);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean0 = resultMatrixLatex0.getEnumerateRowNames();\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int int1 = resultMatrixPlainText0.getDefaultSignificanceWidth();\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int1);\n assertTrue(int1 == int0);\n }", "private boolean [][] buildConnectionMatrix(ArrayList<Integer> st) throws Exception{\n \tboolean [][] canReach=new boolean[st.size()][st.size()]; //initial values of boolean is false in JAVA\n\t\tfor(int i=0;i<st.size();i++) canReach[i][i]=true;\n\t\t//build connection matrix\n \tfor(TreeAutomaton ta:lt)\n \t\tfor(Transition tran:ta.getTrans()){\n \t\t\tint topLoc=st.indexOf(tran.getTop());\n \t\t\tfor(SubTerm t:tran.getSubTerms()){\n \t\t\t\tif(boxes.containsKey(t.getSubLabel())){//the case of a box transition\n \t\t\t\t\tBox box=boxes.get(t.getSubLabel());\n \t\t\t\t\tfor(int i=0;i<box.outPorts.size();i++){\n\t\t\t\t\t\t\tint botLoc_i=st.indexOf(t.getStates().get(i));\n \t\t\t\t\tfor(int j=0;j<box.outPorts.size();j++){\n \t\t\t\t\t\t\tint botLoc_j=st.indexOf(t.getStates().get(j));\n \t\t\t\t\t\tif(box.checkPortConnections(box.outPorts.get(i), box.outPorts.get(j)))//handle outport->outport\n \t\t\t\t\t\t\tcanReach[botLoc_i][botLoc_j]=true;\n \t\t\t\t\t}\n \t\t\t\t\t\tif(box.checkPortConnections(box.outPorts.get(i), box.inPort))//handle outport->inport\n \t\t\t\t\t\t\tcanReach[botLoc_i][topLoc]=true;\n \t\t\t\t\t\tif(box.checkPortConnections(box.inPort, box.outPorts.get(i)))//handle inport->outport\n \t\t\t\t\t\t\tcanReach[topLoc][botLoc_i]=true;\n \t\t\t\t\t}\n \t\t\t\t}else{ \n \t\t\t\t\tint rootRef=ta.referenceTo(tran.getTop());\n \t\t\t\t\tif(rootRef!=-1){//root reference\n \t\t \t\t\tint refLoc=st.indexOf(rootRef);\n \t\t\t\t\t\tcanReach[topLoc][refLoc]=true;\n\t \t\t\t\t}else{//normal transition\n\t \t\t\t\t\n\t \t\t\t\t\tfor(int bot:t.getStates()){\n\t \t\t \t\t\tint botLoc=st.indexOf(bot);\n\t \t\t\t\t\t\tcanReach[topLoc][botLoc]=true;\n\t \t\t\t\t\t}\n\t \t\t\t\t}\n \t\t\t\t}\n \t\t\t}\n \t\t}\n \treturn canReach;\n }", "@Test(timeout = 4000)\n public void test063() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertNotNull(stringArray0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(19, stringArray0.length);\n \n String string0 = resultMatrixHTML0.rowNameWidthTipText();\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", string0);\n \n String string1 = resultMatrixPlainText0.trimString(\"show-avg\", 3002);\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertNotNull(string1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"show-avg\", string1);\n assertFalse(string1.equals((Object)string0));\n \n String string2 = resultMatrixCSV0.toStringMatrix();\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Dataset,[1]\\nrow0,''\\n'[v/ /]',''\\n\", string2);\n assertFalse(string2.equals((Object)string1));\n assertFalse(string2.equals((Object)string0));\n }", "public boolean transition() {\n current = new State(ts++, hopper); \n if (terminus.isTerminus(current)) {\n return false;\n } else {\n hopper.sendBall(oneMinute);\n return true;\n }\n }", "@Test\n public void stateExample4() {\n MarbleSolitaireModel exampleBoard =\n new TriangleSolitaireModelImpl(7, 6, 6);\n assertEquals(\" O\\n\" +\n \" O O\\n\" +\n \" O O O\\n\" +\n \" O O O O\\n\" +\n \" O O O O O\\n\" +\n \" O O O O O O\\n\" +\n \"O O O O O O _\", exampleBoard.getGameState());\n }" ]	[ "0.63742524", "0.6122955", "0.5891601", "0.58670515", "0.5830061", "0.560945", "0.54867595", "0.5482906", "0.5413282", "0.5387542", "0.5384318", "0.5352454", "0.53364486", "0.53206384", "0.52900267", "0.52642846", "0.52486026", "0.5226597", "0.52194333", "0.51832", "0.5159867", "0.51499784", "0.5119136", "0.51080936", "0.50903296", "0.5088773", "0.5083941", "0.50802624", "0.507689", "0.5047383", "0.5043156", "0.50392485", "0.5038883", "0.5028117", "0.5007278", "0.4976465", "0.4975338", "0.49713355", "0.49653846", "0.49652448", "0.49623886", "0.49593428", "0.49576074", "0.49471468", "0.49330276", "0.4925705", "0.49218854", "0.4918637", "0.4910806", "0.49096033", "0.4904883", "0.4899507", "0.48990363", "0.48984253", "0.48753998", "0.48675427", "0.4849677", "0.48465815", "0.4844821", "0.48445815", "0.48443744", "0.48385975", "0.48285425", "0.48283124", "0.48276713", "0.48214635", "0.48208493", "0.48197708", "0.4812853", "0.48100173", "0.48079917", "0.4804554", "0.47925693", "0.47860697", "0.47856456", "0.4779812", "0.47701603", "0.47622508", "0.47577873", "0.47520223", "0.47489804", "0.47486523", "0.47462693", "0.47452196", "0.4745185", "0.4744312", "0.47438782", "0.4736223", "0.47259647", "0.472349", "0.4718642", "0.4715462", "0.47150493", "0.47111976", "0.47104406", "0.4703857", "0.47009206", "0.47007936", "0.4699236", "0.4698546" ]	0.85188055	0
Test of isRateMatrix method, of class MarkovModelUtilities.	@Test public void testIsRateMatrix() { IDoubleArray K = null; MarkovModelUtilities instance = new MarkovModelUtilities(); boolean expResult = false; boolean result = instance.isRateMatrix(K); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public boolean checkmatorder()\n\t{\n\t\torderflag=false;\n\t\tif(height<width)\n\t\t{\n\t\t\tmatrix=new double[height][width];\n\t\t\torderflag=true;\n\t\t}\n\t\telse if(height>=width)\n\t\t{\n\t\t\tmatrix=new double[width][height];\n\t\t}\t\n\t\treturn orderflag;\n\t}", "public boolean getMatrixCheck(){\r\n \treturn this.matrixCheck;\r\n \t}", "private boolean isMatrix(String s) {\n\t\treturn (s.equals(\"A\") \|\| s.equals(\"B\"));\n\t}", "private void testBlackLevelMatrix(BlackLevel[][] matrix)\n {\n for (BlackLevel[] row : matrix)\n {\n double exposureTime = row[0].exposureTime;\n for (BlackLevel blackLevel : row)\n {\n assertEquals(exposureTime, blackLevel.exposureTime, 0.001);\n }\n }\n\n //The ISO of each column should be the same\n /for (int row = 0; row < matrix.length; row ++)\n {\n int iso = matrix[row][0].iso;\n for (int col = 0; col < matrix[row].length; col ++)\n {\n assertEquals(iso, matrix[row][col].iso);\n }\n }/\n }", "private boolean checkRaschModel(){\n ItemResponseModel irm = null;\n int count = 0;\n for(VariableName v : itemFormY.keySet()) {\n irm = itemFormY.get(v);\n\n if(irm.getType() == IrmType.L3 \|\| irm.getType() == IrmType.L4) {\n if (irm.getGuessing() == 0 && irm.getDiscrimination() == 1.0 && irm.getSlipping() == 1.0) {\n count++;\n }\n }else if (irm.getType() == IrmType.PCM) {\n count++;\n }else {\n return false;\n }\n }\n return count==itemFormY.size();\n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixPlainText0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[2];\n stringArray0[0] = \")\";\n resultMatrixSignificance0.m_EnumerateRowNames = true;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n stringArray0[1] = \"5GOL?NR}\";\n resultMatrixPlainText0.setOptions(stringArray0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, stringArray0.length);\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"a\", string0);\n \n int[][] intArray0 = new int[3][8];\n int[] intArray1 = new int[3];\n intArray1[0] = 2;\n intArray1[1] = 1;\n intArray1[2] = 2;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[3];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 2;\n intArray2[1] = 1;\n intArray2[2] = 1;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[6];\n assertFalse(intArray3.equals((Object)intArray2));\n assertFalse(intArray3.equals((Object)intArray1));\n \n intArray3[0] = 1;\n intArray3[1] = 1;\n intArray3[2] = 1;\n intArray3[3] = 0;\n intArray3[4] = 2;\n intArray3[5] = 2;\n intArray0[2] = intArray3;\n resultMatrixSignificance0.m_Significance = intArray0;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n boolean boolean0 = resultMatrixPlainText0.isSignificance((-2));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int int0 = resultMatrixPlainText0.getDefaultRowNameWidth();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(25, int0);\n \n resultMatrixPlainText0.setMean(2, 25, 0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string1 = resultMatrixSignificance0.toStringSummary();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n }", "private Boolean isValidMatrix(List<List<Double>> matrix) {\n\t\tInteger nrows = matrix.size();\n\n\t\tList<Integer> rowLengths = matrix.stream().map(List::size).toList();\n\t\tfloat ncols = (float) rowLengths.stream().mapToInt(Integer::intValue).sum() / rowLengths.size();\n\n\t\treturn (ncols == nrows) && (nrows == 3);\n\t}", "boolean hasMetricTreatment();", "@Test(timeout = 4000)\n public void test031() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixSignificance0.getRowName((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.m_StdDev = null;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n \n String string1 = resultMatrixSignificance0.getDisplayName();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Significance only\", string1);\n \n double double0 = resultMatrixSignificance0.getAverage((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixPlainText resultMatrixPlainText0 = null;\n try {\n resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "private boolean generateRate() {\n TSDBData rateObj;\n boolean result = false;\n\n if (Flag.getMeteringType().equalsIgnoreCase(\"static\")) {\n rateObj = generateStaticRate();\n } else {\n rateObj = generateDynamicRate();\n }\n if (rateObj.getPoints().size() > 0)\n result = saveRate(rateObj);\n return result;\n }", "private boolean isMatrix(Object o) {\n\t\tif(o instanceof String) return isMatrix((String) o);\n\t\telse if(o instanceof Matrix) return true;\n\t\telse return false;\n\t}", "@Test\n public void testGetMatrix() {\n String path1 = \"c:\\\\Voici\\\\input.txt\";\n MatrixReader reader = new MatrixReader(path1);\n assertEquals(reader.getMatrix().get(0, 0), -10.615, 0.001);\n assertEquals(reader.getMatrix().get(9, 1), 10.148, 0.001);\n }", "@Test(timeout = 4000)\n public void test058() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[4];\n double[] doubleArray0 = new double[7];\n doubleArray0[3] = (double) 1;\n String[] stringArray1 = resultMatrixSignificance0.getOptions();\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertNotNull(stringArray1);\n assertNotSame(stringArray1, stringArray0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(18, stringArray1.length);\n assertFalse(stringArray1.equals((Object)stringArray0));\n \n doubleArray0[6] = (double) 0;\n stringArray0[3] = \")\";\n try { \n resultMatrixSignificance0.setOptions(stringArray0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Utils\", e);\n }\n }", "@Test(timeout = 4000)\n public void test085() throws Throwable {\n int[] intArray0 = new int[2];\n intArray0[0] = 0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(166, 0);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(166, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(166, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int int0 = ResultMatrix.SIGNIFICANCE_LOSS;\n assertEquals(2, int0);\n \n int int1 = resultMatrixSignificance0.getDefaultRowNameWidth();\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(166, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(166, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(40, int1);\n assertFalse(int1 == int0);\n }", "@Test(timeout = 4000)\n public void test101() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n Vector<Integer> vector0 = new Vector<Integer>();\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertNotNull(vector0);\n \n resultMatrixSignificance0.m_HeaderKeys = vector0;\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertTrue(resultMatrixSignificance0.m_HeaderKeys.isEmpty());\n assertEquals(\"[]\", resultMatrixSignificance0.m_HeaderKeys.toString());\n assertEquals(0, resultMatrixSignificance0.m_HeaderKeys.size());\n assertEquals(10, resultMatrixSignificance0.m_HeaderKeys.capacity());\n \n boolean boolean0 = vector0.add((Integer) 0);\n assertEquals(10, vector0.capacity());\n assertEquals(1, vector0.size());\n assertEquals(\"[0]\", vector0.toString());\n assertFalse(vector0.isEmpty());\n assertTrue(vector0.contains(0));\n assertTrue(boolean0);\n \n int int0 = resultMatrixSignificance0.getDefaultMeanWidth();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n \n String string0 = resultMatrixSignificance0.getRevision();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n resultMatrixSignificance0.setOptions((String[]) null);\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(618, 691);\n }", "@Test\r\n public void testGetweightmatrix() {\r\n System.out.println(\"getweightmatrix\");\r\n connection instance = new connection();\r\n double[][] expResult = null;\r\n double[][] result = instance.getweightmatrix();\r\n assertArrayEquals(expResult, result);\r\n // TODO review the generated test code and remove the default call to fail.\r\n fail(\"The test case is a prototype.\");\r\n }", "boolean hasMatrixId();", "public static boolean isMatrixType( ProjectDTO type )\n {\n return \"hudson.matrix.MatrixProject\".equals( type.getType() ); //$NON-NLS-1$\n }", "protected void rebuildRateMatrix(double[][] rate, double[] parameters)\t{\n // Q matrix\n rate[0][1] = 0.610810; rate[0][2] = 0.569079;\n rate[0][3] = 0.821500; rate[0][4] = 1.141050;\n rate[0][5] = 1.011980; rate[0][6] = 1.756410;\n rate[0][7] = 1.572160; rate[0][8] = 0.354813;\n rate[0][9] = 0.219023; rate[0][10] = 0.443935;\n rate[0][11] = 1.005440; rate[0][12] = 0.989475;\n rate[0][13] = 0.233492; rate[0][14] = 1.594890;\n rate[0][15] = 3.733380; rate[0][16] = 2.349220;\n rate[0][17] = 0.125227; rate[0][18] = 0.268987;\n rate[0][19] = 2.221870;\n\n rate[1][2] = 0.711690; rate[1][3] = 0.165074;\n rate[1][4] = 0.585809; rate[1][5] = 3.360330;\n rate[1][6] = 0.488649; rate[1][7] = 0.650469;\n rate[1][8] = 2.362040; rate[1][9] = 0.206722;\n rate[1][10] = 0.551450; rate[1][11] = 5.925170;\n rate[1][12] = 0.758446; rate[1][13] = 0.116821;\n rate[1][14] = 0.753467; rate[1][15] = 1.357640;\n rate[1][16] = 0.613776; rate[1][17] = 1.294610;\n rate[1][18] = 0.423612; rate[1][19] = 0.280336;\n\n rate[2][3] = 6.013660; rate[2][4] = 0.296524;\n rate[2][5] = 1.716740; rate[2][6] = 1.056790;\n rate[2][7] = 1.253910; rate[2][8] = 4.378930;\n rate[2][9] = 0.615636; rate[2][10] = 0.147156;\n rate[2][11] = 3.334390; rate[2][12] = 0.224747;\n rate[2][13] = 0.110793; rate[2][14] = 0.217538;\n rate[2][15] = 4.394450; rate[2][16] = 2.257930;\n rate[2][17] = 0.078463; rate[2][18] = 1.208560;\n rate[2][19] = 0.221176;\n\n rate[3][4] = 0.033379; rate[3][5] = 0.691268;\n rate[3][6] = 6.833400; rate[3][7] = 0.961142;\n rate[3][8] = 1.032910; rate[3][9] = 0.043523;\n rate[3][10] = 0.093930; rate[3][11] = 0.533362;\n rate[3][12] = 0.116813; rate[3][13] = 0.052004;\n rate[3][14] = 0.472601; rate[3][15] = 1.192810;\n rate[3][16] = 0.417372; rate[3][17] = 0.146348;\n rate[3][18] = 0.363243; rate[3][19] = 0.169417;\n\n rate[4][5] = 0.109261; rate[4][6] = 0.023920;\n rate[4][7] = 0.341086; rate[4][8] = 0.275403;\n rate[4][9] = 0.189890; rate[4][10] = 0.428414;\n rate[4][11] = 0.083649; rate[4][12] = 0.437393;\n rate[4][13] = 0.441300; rate[4][14] = 0.122303;\n rate[4][15] = 1.560590; rate[4][16] = 0.570186;\n rate[4][17] = 0.795736; rate[4][18] = 0.604634;\n rate[4][19] = 1.114570;\n\n rate[5][6] = 6.048790; rate[5][7] = 0.366510;\n rate[5][8] = 4.749460; rate[5][9] = 0.131046;\n rate[5][10] = 0.964886; rate[5][11] = 4.308310;\n rate[5][12] = 1.705070; rate[5][13] = 0.110744;\n rate[5][14] = 1.036370; rate[5][15] = 1.141210;\n rate[5][16] = 0.954144; rate[5][17] = 0.243615;\n rate[5][18] = 0.252457; rate[5][19] = 0.333890;\n\n rate[6][7] = 0.630832; rate[6][8] = 0.635025;\n rate[6][9] = 0.141320; rate[6][10] = 0.172579;\n rate[6][11] = 2.867580; rate[6][12] = 0.353912;\n rate[6][13] = 0.092310; rate[6][14] = 0.755791;\n rate[6][15] = 0.782467; rate[6][16] = 0.914814;\n rate[6][17] = 0.172682; rate[6][18] = 0.217549;\n rate[6][19] = 0.655045;\n\n rate[7][8] = 0.276379; rate[7][9] = 0.034151;\n rate[7][10] = 0.068651; rate[7][11] = 0.415992;\n rate[7][12] = 0.194220; rate[7][13] = 0.055288;\n rate[7][14] = 0.273149; rate[7][15] = 1.486700;\n rate[7][16] = 0.251477; rate[7][17] = 0.374321;\n rate[7][18] = 0.114187; rate[7][19] = 0.209108;\n\n rate[8][9] = 0.152215; rate[8][10] = 0.555096;\n rate[8][11] = 0.992083; rate[8][12] = 0.450867;\n rate[8][13] = 0.756080; rate[8][14] = 0.771387;\n rate[8][15] = 0.822459; rate[8][16] = 0.525511;\n rate[8][17] = 0.289998; rate[8][18] = 4.290350;\n rate[8][19] = 0.131869;\n\n rate[9][10] = 3.517820; rate[9][11] = 0.360574;\n rate[9][12] = 4.714220; rate[9][13] = 1.177640;\n rate[9][14] = 0.111502; rate[9][15] = 0.353443;\n rate[9][16] = 1.615050; rate[9][17] = 0.234326;\n rate[9][18] = 0.468951; rate[9][19] = 8.659740;\n\n rate[10][11] = 0.287583; rate[10][12] = 5.375250;\n rate[10][13] = 2.348200; rate[10][14] = 0.462018;\n rate[10][15] = 0.382421; rate[10][16] = 0.364222;\n rate[10][17] = 0.740259; rate[10][18] = 0.443205;\n rate[10][19] = 1.997370;\n\n rate[11][12] = 1.032220; rate[11][13] = 0.098843;\n rate[11][14] = 0.619503; rate[11][15] = 1.073780;\n rate[11][16] = 1.537920; rate[11][17] = 0.152232;\n rate[11][18] = 0.147411; rate[11][19] = 0.342012;\n\n rate[12][13] = 1.320870; rate[12][14] = 0.194864;\n rate[12][15] = 0.556353; rate[12][16] = 1.681970;\n rate[12][17] = 0.570369; rate[12][18] = 0.473810;\n rate[12][19] = 2.282020;\n\n rate[13][14] = 0.179896; rate[13][15] = 0.606814;\n rate[13][16] = 0.191467; rate[13][17] = 1.699780;\n rate[13][18] = 7.154480; rate[13][19] = 0.725096;\n\n rate[14][15] = 1.786490; rate[14][16] = 0.885349;\n rate[14][17] = 0.156619; rate[14][18] = 0.239607;\n rate[14][19] = 0.351250;\n\n rate[15][16] = 4.847130; rate[15][17] = 0.578784;\n rate[15][18] = 0.872519; rate[15][19] = 0.258861;\n\n rate[16][17] = 0.126678; rate[16][18] = 0.325490;\n rate[16][19] = 1.547670;\n\n rate[17][18] = 2.763540; rate[17][19] = 0.409817;\n\n rate[18][19] = 0.347826;\n }", "public void testRotationMatrix() {\n\n u = 1;\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n // This should be the identity matrix\n double[][] m = rM.getMatrix();\n for(int i=0; i<m.length; i++) {\n for(int j=0; j<m.length; j++) {\n if(j==i) {\n assertEquals(m[i][j], 1, TOLERANCE);\n } else {\n assertEquals(m[i][j], 0, TOLERANCE);\n }\n }\n }\n }", "@Test(timeout = 4000)\n public void test078() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[][] intArray0 = new int[1][5];\n int[] intArray1 = new int[1];\n intArray1[0] = 2;\n intArray0[0] = intArray1;\n resultMatrixGnuPlot0.setRanking(intArray0);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, intArray0.length);\n \n resultMatrixGnuPlot0.setSize(26, 45);\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(45, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(26, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(45, resultMatrixGnuPlot0.getRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(26, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.setRowName(2186, \")\");\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(45, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(26, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(45, resultMatrixGnuPlot0.getRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(26, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n }", "@Test(timeout = 4000)\n public void test046() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(16, 8);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[5];\n intArray0[0] = 16;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 16;\n intArray0[4] = 1;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {16, 2, 0, 16, 1}, intArray0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(5, intArray0.length);\n \n resultMatrixSignificance0.setColNameWidth(3);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setSignificanceWidth(16);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.setPrintRowNames(false);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.setStdDevPrec(0);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.m_RowOrder = intArray0;\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n \n resultMatrixGnuPlot0.setPrintColNames(true);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.clearSummary();\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixSignificance0.m_ColNameWidth = 8;\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(8, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n \n resultMatrixGnuPlot0.LEFT_PARENTHESES = \"weka/core/version.txt\";\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.toStringMatrix();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "@Test(timeout = 4000)\n public void test156() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(50, 50);\n resultMatrixLatex0.m_ShowAverage = false;\n resultMatrixLatex0.m_ShowStdDev = true;\n boolean[] booleanArray0 = new boolean[5];\n booleanArray0[0] = false;\n booleanArray0[1] = false;\n resultMatrixLatex0.m_StdDevWidth = (-3085);\n booleanArray0[2] = true;\n resultMatrixLatex0.setPrintColNames(true);\n booleanArray0[3] = true;\n resultMatrixLatex0.setStdDevWidth((-1));\n booleanArray0[4] = true;\n resultMatrixLatex0.m_RowHidden = booleanArray0;\n resultMatrixLatex0.getDefaultEnumerateColNames();\n resultMatrixLatex0.colNameWidthTipText();\n resultMatrixLatex0.setPrintRowNames(false);\n resultMatrixLatex0.removeFilterName(\"\");\n resultMatrixLatex0.padString(\"\", 0, false);\n ResultMatrixSignificance resultMatrixSignificance0 = null;\n try {\n resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 5\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Override\n\tpublic boolean isRateplan(){\n\t\treturn false;\n\t}", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testParseMatrix() {\n String path1 = \"c:\\\\Voici\\\\input.txt\";\n MatrixReader reader = new MatrixReader(path1);\n Matrix data = reader.getMatrix();\n Matrix[] parsedMatrix = MatrixReader.parseMatrix(data, 10);\n assertEquals(parsedMatrix[0].get(4, 2), data.get(4, 2), 0.001);\n assertEquals(parsedMatrix[2].get(0, 0), data.get(32, 0), 0.001);\n assertEquals(parsedMatrix[1].get(0, 0), data.get(16, 0), 0.001);\n }", "@Test(timeout = 4000)\n public void test011() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixLatex0.setShowAverage(true);\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n assertEquals(2, resultMatrixSignificance1.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance1.printRowNamesTipText());\n assertFalse(resultMatrixSignificance1.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance1.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance1.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultColNameWidth());\n assertEquals(40, resultMatrixSignificance1.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance1.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance1.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance1.colNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance1.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixSignificance1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance1.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance1.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance1.getColCount());\n assertEquals(1, resultMatrixSignificance1.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance1.meanWidthTipText());\n assertFalse(resultMatrixSignificance1.getRemoveFilterName());\n assertFalse(resultMatrixSignificance1.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertTrue(resultMatrixSignificance1.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertFalse(resultMatrixSignificance1.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance1.globalInfo());\n assertEquals(0, resultMatrixSignificance1.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance1.showStdDevTipText());\n assertFalse(resultMatrixSignificance1.getShowAverage());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance1.getDisplayName());\n assertTrue(resultMatrixSignificance1.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance1.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance1.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance1.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance1.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance1.stdDevPrecTipText());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance1.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance1.getShowStdDev());\n assertFalse(resultMatrixSignificance1.getDefaultShowStdDev());\n assertNotNull(resultMatrixSignificance1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixSignificance1.equals((Object)resultMatrixSignificance0));\n \n String[] stringArray0 = new String[24];\n resultMatrixSignificance0.setColNameWidth(0);\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotSame(resultMatrixSignificance0, resultMatrixSignificance1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixSignificance0.equals((Object)resultMatrixSignificance1));\n \n stringArray0[0] = \")\";\n stringArray0[1] = \"$circ$\";\n stringArray0[2] = \"\";\n stringArray0[3] = \" \";\n stringArray0[4] = \"$\\bullet$\";\n try { \n resultMatrixSignificance1.setOptions(stringArray0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Utils\", e);\n }\n }", "@Test(timeout = 4000)\n public void test015() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[7];\n intArray0[0] = 0;\n intArray0[1] = 1;\n intArray0[2] = 952;\n intArray0[3] = 2;\n intArray0[4] = 1;\n intArray0[5] = 1;\n intArray0[6] = 0;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {0, 1, 952, 2, 1, 1, 0}, intArray0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(7, intArray0.length);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean(2, 2);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot1.getRowName(2);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n int int0 = resultMatrixGnuPlot0.getDefaultColNameWidth();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n resultMatrixGnuPlot0.setRowHidden(0, false);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n boolean boolean0 = resultMatrixSignificance0.getDefaultShowStdDev();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n String string2 = resultMatrixGnuPlot0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string2);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int1 = resultMatrixPlainText0.getDisplayRow(44);\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals((-1), int1);\n assertFalse(int1 == int0);\n }", "@Test(timeout = 4000)\n public void test062() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(0, 1);\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean0 = resultMatrixLatex0.getDefaultPrintRowNames();\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertTrue(boolean0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[][] stringArray0 = new String[3][2];\n String[] stringArray1 = new String[0];\n stringArray0[0] = stringArray1;\n String[] stringArray2 = new String[5];\n assertFalse(stringArray2.equals((Object)stringArray1));\n \n stringArray2[0] = \")\";\n resultMatrixPlainText0.setMeanWidth(2);\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n stringArray2[1] = \")\";\n stringArray2[2] = \"\";\n stringArray2[3] = \"\";\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setOptions(stringArray1);\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertNotSame(stringArray1, stringArray2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, stringArray1.length);\n assertFalse(stringArray1.equals((Object)stringArray2));\n \n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML(1, 2);\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertEquals(2, resultMatrixHTML1.getRowCount());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertEquals(2, resultMatrixHTML1.getVisibleRowCount());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertNotNull(resultMatrixHTML1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n \n ResultMatrixPlainText resultMatrixPlainText1 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertNotNull(resultMatrixPlainText1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n \n ResultMatrixPlainText resultMatrixPlainText2 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText2.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText2.getColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText2.globalInfo());\n assertTrue(resultMatrixPlainText2.getPrintColNames());\n assertFalse(resultMatrixPlainText2.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText2.getDefaultCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText2.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText2.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText2.countWidthTipText());\n assertEquals(0, resultMatrixPlainText2.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixPlainText2.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText2.meanPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText2.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText2.showAverageTipText());\n assertTrue(resultMatrixPlainText2.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText2.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixPlainText2.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText2.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText2.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText2.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText2.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText2.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText2.rowNameWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText2.getDisplayName());\n assertFalse(resultMatrixPlainText2.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText2.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText2.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText2.getColNameWidth());\n assertEquals(2, resultMatrixPlainText2.getMeanPrec());\n assertEquals(1, resultMatrixPlainText2.getRowCount());\n assertEquals(0, resultMatrixPlainText2.getSignificanceWidth());\n assertFalse(resultMatrixPlainText2.getEnumerateRowNames());\n assertEquals(25, resultMatrixPlainText2.getRowNameWidth());\n assertFalse(resultMatrixPlainText2.getShowAverage());\n assertEquals(0, resultMatrixPlainText2.getStdDevWidth());\n assertEquals(1, resultMatrixPlainText2.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText2.getCountWidth());\n assertTrue(resultMatrixPlainText2.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText2.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText2.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText2.stdDevWidthTipText());\n assertEquals(2, resultMatrixPlainText2.getStdDevPrec());\n assertFalse(resultMatrixPlainText2.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText2.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText2.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText2.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText2.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText2.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText2.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText2.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText2.enumerateRowNamesTipText());\n assertNotNull(resultMatrixPlainText2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixPlainText2.equals((Object)resultMatrixPlainText0));\n assertFalse(resultMatrixPlainText2.equals((Object)resultMatrixPlainText1));\n \n resultMatrixPlainText0.setRemoveFilterName(false);\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertNotSame(resultMatrixPlainText0, resultMatrixPlainText1);\n assertNotSame(resultMatrixPlainText0, resultMatrixPlainText2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixPlainText0.equals((Object)resultMatrixPlainText1));\n assertFalse(resultMatrixPlainText0.equals((Object)resultMatrixPlainText2));\n \n String string0 = resultMatrixPlainText1.globalInfo();\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertNotNull(string0);\n assertNotSame(resultMatrixPlainText1, resultMatrixPlainText2);\n assertNotSame(resultMatrixPlainText1, resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", string0);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText2));\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n boolean boolean1 = resultMatrixGnuPlot0.getDefaultEnumerateRowNames();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean1);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(boolean1 == boolean0);\n \n String string1 = resultMatrixGnuPlot0.trimString(\"\", 4);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(string1);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"\", string1);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(string1.equals((Object)string0));\n }", "boolean hasEstimator();", "@Test(timeout = 4000)\n public void test024() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixHTML0.setRemoveFilterName(false);\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixHTML0.setShowStdDev(true);\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixHTML0);\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixCSV0.getSummaryTitle(26);\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"a\", string0);\n \n String string1 = resultMatrixCSV0.toString();\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertNotNull(string1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Dataset,(1),''\\nrow0,'',''\\n'(v/ /)','',''\\n\", string1);\n assertFalse(string1.equals((Object)string0));\n \n resultMatrixCSV0.setSignificanceWidth(0);\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string2 = resultMatrixCSV0.toStringKey();\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertNotNull(string2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Key,\\n(1),col0\\n\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(string2.equals((Object)string1));\n \n int[] intArray0 = new int[2];\n intArray0[0] = 0;\n intArray0[1] = 2;\n resultMatrixHTML0.m_RankingWins = intArray0;\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(26, 2);\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(26, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(26, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string3 = resultMatrixSignificance0.toStringRanking();\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(26, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(26, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertNotNull(string3);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-ranking data not set-\", string3);\n assertFalse(string3.equals((Object)string1));\n assertFalse(string3.equals((Object)string2));\n assertFalse(string3.equals((Object)string0));\n \n String string4 = resultMatrixSignificance0.toStringKey();\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(26, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(26, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertNotNull(string4);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Key:\\n(1) col0\\n(2) col1\\n(3) col2\\n(4) col3\\n(5) col4\\n(6) col5\\n(7) col6\\n(8) col7\\n(9) col8\\n(10) col9\\n(11) col10\\n(12) col11\\n(13) col12\\n(14) col13\\n(15) col14\\n(16) col15\\n(17) col16\\n(18) col17\\n(19) col18\\n(20) col19\\n(21) col20\\n(22) col21\\n(23) col22\\n(24) col23\\n(25) col24\\n(26) col25\\n\", string4);\n assertFalse(string4.equals((Object)string2));\n assertFalse(string4.equals((Object)string3));\n assertFalse(string4.equals((Object)string1));\n assertFalse(string4.equals((Object)string0));\n \n boolean boolean0 = resultMatrixCSV0.isSignificance((-347));\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getShowStdDev());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = null;\n try {\n resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixHTML0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test012() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[] intArray0 = new int[1];\n intArray0[0] = 1;\n resultMatrixLatex0.setRowOrder(intArray0);\n assertArrayEquals(new int[] {1}, intArray0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, intArray0.length);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(1, 1);\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.m_StdDevPrec = 1;\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n \n int int0 = resultMatrixPlainText0.getDefaultCountWidth();\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(5, int0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixGnuPlot0.toStringMatrix();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"(1)\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\", string0);\n \n resultMatrixLatex0.m_ColOrder = intArray0;\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(1, 1);\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixCSV0.m_EnumerateRowNames = true;\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n \n resultMatrixCSV0.clearHeader();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.assign(resultMatrixCSV0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.setCountWidth(661);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string1 = resultMatrixGnuPlot0.toStringSummary();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n \n int int1 = resultMatrixGnuPlot0.getStdDevWidth();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int1);\n assertFalse(int1 == int0);\n \n String string2 = resultMatrixLatex0.trimString(\"\", 2);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"\", string2);\n assertFalse(string2.equals((Object)string1));\n assertFalse(string2.equals((Object)string0));\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setSize(2417, 1);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2417, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2417, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string3 = resultMatrixHTML0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2417, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2417, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string3);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-ranking data not set-\", string3);\n assertFalse(string3.equals((Object)string1));\n assertFalse(string3.equals((Object)string0));\n assertFalse(string3.equals((Object)string2));\n \n String string4 = resultMatrixCSV0.countWidthTipText();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(string4);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The width of the counts (0 = optimal).\", string4);\n assertFalse(string4.equals((Object)string2));\n assertFalse(string4.equals((Object)string0));\n assertFalse(string4.equals((Object)string1));\n assertFalse(string4.equals((Object)string3));\n \n String string5 = resultMatrixLatex0.globalInfo();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(string5);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", string5);\n assertFalse(string5.equals((Object)string0));\n assertFalse(string5.equals((Object)string4));\n assertFalse(string5.equals((Object)string2));\n assertFalse(string5.equals((Object)string1));\n assertFalse(string5.equals((Object)string3));\n \n String[][] stringArray0 = new String[6][8];\n String[] stringArray1 = new String[6];\n stringArray1[0] = \"$circ$\";\n stringArray1[1] = \"]\";\n stringArray1[2] = \" \";\n stringArray1[3] = \"]\";\n stringArray1[4] = \"v\";\n stringArray1[5] = \"The width of the counts (0 = optimal).\";\n stringArray0[0] = stringArray1;\n String[] stringArray2 = new String[9];\n assertFalse(stringArray2.equals((Object)stringArray1));\n \n stringArray2[0] = \"v\";\n stringArray2[1] = \"\";\n stringArray2[2] = \"[\";\n stringArray2[3] = \"-summary data not set-\";\n stringArray2[4] = \"Generates the matrix output in LaTeX-syntax.\";\n stringArray2[5] = \"(\";\n stringArray2[6] = \"(\";\n stringArray2[7] = \" \";\n stringArray2[8] = \" \";\n stringArray0[1] = stringArray2;\n String[] stringArray3 = new String[2];\n assertFalse(stringArray3.equals((Object)stringArray1));\n assertFalse(stringArray3.equals((Object)stringArray2));\n \n stringArray3[0] = \"[\";\n stringArray3[1] = \"[\";\n stringArray0[2] = stringArray3;\n String[] stringArray4 = new String[1];\n assertFalse(stringArray4.equals((Object)stringArray2));\n assertFalse(stringArray4.equals((Object)stringArray1));\n assertFalse(stringArray4.equals((Object)stringArray3));\n \n stringArray4[0] = \"\";\n stringArray0[3] = stringArray4;\n String[] stringArray5 = new String[6];\n assertFalse(stringArray5.equals((Object)stringArray2));\n assertFalse(stringArray5.equals((Object)stringArray1));\n assertFalse(stringArray5.equals((Object)stringArray4));\n assertFalse(stringArray5.equals((Object)stringArray3));\n \n stringArray5[0] = \"$circ$\";\n stringArray5[1] = \"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"(1)\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\";\n stringArray5[2] = \"\";\n stringArray5[3] = \" \";\n stringArray5[4] = \"$circ$\";\n stringArray5[5] = \" \";\n stringArray0[4] = stringArray5;\n String[] stringArray6 = new String[7];\n assertFalse(stringArray6.equals((Object)stringArray5));\n assertFalse(stringArray6.equals((Object)stringArray3));\n assertFalse(stringArray6.equals((Object)stringArray2));\n assertFalse(stringArray6.equals((Object)stringArray1));\n assertFalse(stringArray6.equals((Object)stringArray4));\n \n stringArray6[0] = \"]\";\n stringArray6[1] = \" \";\n stringArray6[2] = \"v\";\n stringArray6[3] = \"v\";\n stringArray6[4] = \" \";\n stringArray6[5] = \"$circ$\";\n stringArray6[6] = \"v\";\n stringArray0[5] = stringArray6;\n // Undeclared exception!\n try { \n resultMatrixLatex0.getColSize(stringArray0, 2, true, true);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 2\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test026() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertNotNull(resultMatrixHTML0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixPlainText0.setRowNameWidth(1489);\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertNotNull(stringArray0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(19, stringArray0.length);\n \n int int0 = resultMatrixPlainText0.getDefaultStdDevWidth();\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n }", "@Test(timeout = 4000)\n public void test056() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(2, 20);\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(20, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(20, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(20, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(20, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean((-75), 2);\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(20, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(20, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixHTML0);\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot1.getRowName((-329));\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n int int0 = resultMatrixGnuPlot1.getDefaultColNameWidth();\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n }", "boolean hasScoringParams();", "@Test(timeout = 4000)\n public void test167() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.showStdDevTipText();\n resultMatrixLatex0.getRevision();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n resultMatrixGnuPlot0.RIGHT_PARENTHESES = \")\";\n resultMatrixGnuPlot0.getDefaultRowNameWidth();\n int[] intArray0 = new int[7];\n intArray0[0] = 2;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 1;\n intArray0[4] = 0;\n intArray0[5] = 1;\n intArray0[6] = 2;\n resultMatrixLatex0.m_ColOrder = intArray0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n int[] intArray1 = new int[6];\n intArray1[0] = 0;\n intArray1[1] = 50;\n intArray1[2] = 50;\n intArray1[3] = 50;\n intArray1[4] = 2;\n intArray1[5] = 0;\n resultMatrixSignificance0.m_RankingLosses = intArray1;\n resultMatrixSignificance0.getDisplayName();\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n \n String string0 = resultMatrixLatex0.getSummaryTitle(0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"a\", string0);\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n }", "@Test(timeout = 4000)\n public void test022() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n double[][] doubleArray0 = new double[4][2];\n double[] doubleArray1 = new double[7];\n doubleArray1[0] = (double) 2;\n doubleArray1[1] = (double) 0;\n doubleArray1[2] = (double) 1;\n doubleArray1[3] = (double) 1;\n doubleArray1[4] = (double) 1;\n doubleArray1[5] = (double) 1;\n doubleArray1[6] = (double) 2;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n assertFalse(doubleArray2.equals((Object)doubleArray1));\n \n doubleArray2[0] = (double) 0;\n doubleArray2[1] = (double) 2;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[3];\n assertFalse(doubleArray3.equals((Object)doubleArray2));\n assertFalse(doubleArray3.equals((Object)doubleArray1));\n \n doubleArray3[0] = (double) 0;\n doubleArray3[1] = (-2740.0);\n doubleArray3[2] = (double) 1;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[7];\n assertFalse(doubleArray4.equals((Object)doubleArray3));\n assertFalse(doubleArray4.equals((Object)doubleArray2));\n assertFalse(doubleArray4.equals((Object)doubleArray1));\n \n doubleArray4[0] = (-372.1747797129);\n doubleArray4[1] = (double) 1;\n doubleArray4[2] = (double) 1;\n doubleArray4[3] = (double) 1;\n doubleArray4[4] = (double) 1;\n doubleArray4[5] = (-2740.0);\n doubleArray4[6] = (double) 2;\n doubleArray0[3] = doubleArray4;\n resultMatrixPlainText0.m_Mean = doubleArray0;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n \n String string0 = resultMatrixPlainText0.getDisplayName();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Plain Text\", string0);\n }", "@Test(timeout = 4000)\n public void test121() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.setSignificanceWidth(0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test063() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertNotNull(stringArray0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(19, stringArray0.length);\n \n String string0 = resultMatrixHTML0.rowNameWidthTipText();\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", string0);\n \n String string1 = resultMatrixPlainText0.trimString(\"show-avg\", 3002);\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertNotNull(string1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"show-avg\", string1);\n assertFalse(string1.equals((Object)string0));\n \n String string2 = resultMatrixCSV0.toStringMatrix();\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Dataset,[1]\\nrow0,''\\n'[v/ /]',''\\n\", string2);\n assertFalse(string2.equals((Object)string1));\n assertFalse(string2.equals((Object)string0));\n }", "@Test\n public void testGetMatrixFromVector() {\n System.out.println(\"getMatrixFromVector\");\n Vector instance = null;\n Matrix expResult = null;\n Matrix result = instance.getMatrixFromVector();\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void setMatrix(ScoreMatrix matrix) {\n\t\t// This scoring function doesn't need a ScoreMatrix!\n\t}", "@Test(timeout = 4000)\n public void test112() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixCSV0.toStringKey();\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Key,\\n[1],col0\\n\", string0);\n \n String string1 = resultMatrixCSV0.toStringMatrix();\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Dataset,[1]\\nrow0,''\\n'[v/ /]',''\\n\", string1);\n assertFalse(string1.equals((Object)string0));\n \n String string2 = resultMatrixCSV0.toStringRanking();\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(string2.equals((Object)string1));\n \n resultMatrixCSV0.setColName((-158), \")\");\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(0, 4);\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(4, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(4, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.toStringMatrix();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test036() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[][] intArray0 = new int[0][1];\n // Undeclared exception!\n try { \n resultMatrixLatex0.setSummary((int[][]) null, (int[][]) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "private static boolean isZeroMatrix(@NonNull RealMatrix a) {\n for (int i = 0; i < a.getRowDimension(); i++) {\n for (int j = 0; j < a.getRowDimension(); j++) {\n if (a.getEntry(i, j) != 0) {\n return false;\n }\n }\n }\n return true;\n }", "@Test(timeout = 4000)\n public void test168() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n int[] intArray0 = new int[1];\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"\";\n double[] doubleArray0 = new double[7];\n doubleArray0[0] = (double) 0;\n doubleArray0[1] = (double) 2;\n doubleArray0[2] = (double) 0;\n doubleArray0[3] = (double) 1;\n doubleArray0[4] = (double) 2;\n doubleArray0[5] = (double) 0;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(216);\n assertEquals(\"i\", string0);\n \n int[][] intArray1 = new int[8][0];\n intArray1[0] = intArray0;\n intArray1[1] = intArray0;\n intArray1[2] = intArray0;\n intArray1[3] = intArray0;\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.toStringRanking();\n resultMatrixPlainText0.getDefaultRemoveFilterName();\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n }", "@Test\n public void testMatrixCreation() throws Exception {\n\n testUtilities_3.createAndTestMatrix(false);\n\n }", "@Test(timeout = 4000)\n public void test115() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setPrintColNames(false);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test054() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(11, 0);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(11, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(11, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n double double0 = resultMatrixGnuPlot0.getMean(1, 48);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(11, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(11, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n String[] stringArray0 = new String[3];\n stringArray0[0] = \"\";\n stringArray0[1] = \"\";\n stringArray0[2] = \"$circ$\";\n ResultMatrixGnuPlot.main(stringArray0);\n assertEquals(3, stringArray0.length);\n \n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(11, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(11, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex1.showStdDevTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\n assertEquals(50, resultMatrixLatex1.getRowNameWidth());\n assertEquals(11, resultMatrixLatex1.getVisibleColCount());\n assertFalse(resultMatrixLatex1.getShowAverage());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex1.globalInfo());\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex1.getRowCount());\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex1.stdDevWidthTipText());\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex1.meanWidthTipText());\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex1.getCountWidth());\n assertTrue(resultMatrixLatex1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex1.showAverageTipText());\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex1.getVisibleRowCount());\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex1.printRowNamesTipText());\n assertTrue(resultMatrixLatex1.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex1.meanPrecTipText());\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex1.countWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex1.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex1.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex1.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex1.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\n assertFalse(resultMatrixLatex1.getShowStdDev());\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\n assertEquals(11, resultMatrixLatex1.getColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex1.printColNamesTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex1.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex1.rowNameWidthTipText());\n assertNotNull(resultMatrixLatex1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\n \n ResultMatrixLatex resultMatrixLatex2 = new ResultMatrixLatex(26, 28);\n assertFalse(resultMatrixLatex2.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex2.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex2.showAverageTipText());\n assertEquals(28, resultMatrixLatex2.getRowCount());\n assertEquals(26, resultMatrixLatex2.getVisibleColCount());\n assertEquals(26, resultMatrixLatex2.getColCount());\n assertFalse(resultMatrixLatex2.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex2.meanPrecTipText());\n assertEquals(2, resultMatrixLatex2.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex2.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex2.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex2.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex2.getColNameWidth());\n assertEquals(0, resultMatrixLatex2.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex2.countWidthTipText());\n assertEquals(0, resultMatrixLatex2.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex2.getDefaultRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex2.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex2.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex2.stdDevPrecTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex2.significanceWidthTipText());\n assertFalse(resultMatrixLatex2.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex2.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex2.getMeanPrec());\n assertEquals(0, resultMatrixLatex2.getCountWidth());\n assertFalse(resultMatrixLatex2.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex2.printColNamesTipText());\n assertEquals(28, resultMatrixLatex2.getVisibleRowCount());\n assertTrue(resultMatrixLatex2.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex2.getSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex2.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex2.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex2.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex2.globalInfo());\n assertFalse(resultMatrixLatex2.getShowAverage());\n assertTrue(resultMatrixLatex2.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex2.getRowNameWidth());\n assertFalse(resultMatrixLatex2.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex2.getDefaultRowNameWidth());\n assertTrue(resultMatrixLatex2.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex2.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex2.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex2.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex2.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex2.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex2.getStdDevPrec());\n assertFalse(resultMatrixLatex2.getDefaultShowAverage());\n assertFalse(resultMatrixLatex2.getRemoveFilterName());\n assertFalse(resultMatrixLatex2.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex2.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex2.stdDevWidthTipText());\n assertNotNull(resultMatrixLatex2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixLatex2.equals((Object)resultMatrixLatex0));\n assertFalse(resultMatrixLatex2.equals((Object)resultMatrixLatex1));\n \n // Undeclared exception!\n try { \n resultMatrixLatex2.toStringHeader();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test089() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.setRowNameWidth(1489);\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertNotNull(stringArray0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(19, stringArray0.length);\n \n String string0 = resultMatrixCSV0.enumerateColNamesTipText();\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", string0);\n }", "@Test(timeout = 4000)\n public void test142() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\n boolean boolean0 = resultMatrixSignificance1.isAverage(120);\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(boolean0);\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n }", "@Test\n public void checkGetRInputSize()\n {\n int width = 5;\n int height = 10;\n\n QRDecomposition<DMatrixRMaj> alg = createQRDecomposition();\n\n SimpleMatrix A = new SimpleMatrix(height,width, DMatrixRMaj.class);\n RandomMatrices_DDRM.fillUniform((DMatrixRMaj)A.getMatrix(),rand);\n\n alg.decompose((DMatrixRMaj)A.getMatrix());\n\n // check the case where it creates the matrix first\n assertEquals(width, alg.getR(null, true).numRows);\n assertEquals(height, alg.getR(null, false).numRows);\n\n // check the case where a matrix is provided\n alg.getR(new DMatrixRMaj(width,width),true);\n alg.getR(new DMatrixRMaj(height,width),false);\n\n // check some negative cases\n {\n DMatrixRMaj R = new DMatrixRMaj(height,width);\n alg.getR(R,true);\n assertEquals(width,R.numCols);\n assertEquals(width,R.numRows);\n }\n\n {\n DMatrixRMaj R = new DMatrixRMaj(width-1,width);\n alg.getR(R,false);\n assertEquals(width,R.numCols);\n assertEquals(height,R.numRows);\n }\n }", "@Test(timeout = 4000)\n public void test044() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixPlainText0.setPrintRowNames(false);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixPlainText0.setRowNameWidth(1489);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(stringArray0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(19, stringArray0.length);\n \n int int0 = resultMatrixCSV0.getColCount();\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, int0);\n }", "public static boolean checkFrameRates(TalonSRX t) // TODO pass in criteria (ex: CurrentLimits)?\n {\n boolean result = true;\n List<FrameCriteria> expectations = Arrays.asList(new FrameCriteria[] {\n new FrameCriteria(StatusFrameEnhanced.Status_1_General, 5, CRITERIA.NO_FASTER_THAN),\n new FrameCriteria(StatusFrameEnhanced.Status_1_General, 20, CRITERIA.NO_SLOWER_THAN),\n new FrameCriteria(StatusFrameEnhanced.Status_2_Feedback0, 5, CRITERIA.NO_FASTER_THAN),\n new FrameCriteria(StatusFrameEnhanced.Status_10_MotionMagic, 10, CRITERIA.NO_FASTER_THAN),\n new FrameCriteria(StatusFrameEnhanced.Status_13_Base_PIDF0, 100, CRITERIA.NO_FASTER_THAN),\n });\n\n ConsoleLogger.info(String.format(\"Motor %d Frames:\", t.getDeviceID()));\n for (FrameCriteria criteria : expectations)\n {\n int actual = t.getStatusFramePeriod(criteria.frame, 0);\n ConsoleLogger.info(String.format(\"%s: %d ms\", criteria.frame, actual));\n result &= criteria.verify(actual);\n }\n System.out.println(String.format(\"Motor %d frames %s\", t.getDeviceID(), (result) ? \"okay\" : \"failed\"));\n return result;\n }", "@Test(timeout = 4000)\n public void test064() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int int0 = resultMatrixGnuPlot0.getColSize((String[][]) null, (-3319), false, true);\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int0);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean0 = resultMatrixLatex0.getEnumerateRowNames();\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int int1 = resultMatrixPlainText0.getDefaultSignificanceWidth();\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int1);\n assertTrue(int1 == int0);\n }", "@Test\n public void testIsReversible_IDoubleArray()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isReversible(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test005() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixPlainText0.m_RemoveFilterName = true;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertTrue(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n \n resultMatrixPlainText0.setRowNameWidth(1489);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertTrue(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertTrue(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(stringArray0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(20, stringArray0.length);\n \n String string0 = resultMatrixPlainText0.showStdDevTipText();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertTrue(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(1489, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Whether to display the standard deviation column.\", string0);\n }", "@Test(timeout = 4000)\n public void test037() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML(1, 1);\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(1, resultMatrixHTML1.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertNotNull(resultMatrixHTML1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n \n ResultMatrixPlainText resultMatrixPlainText1 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertNotNull(resultMatrixPlainText1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n \n ResultMatrixPlainText resultMatrixPlainText2 = new ResultMatrixPlainText();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText2.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText2.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText2.significanceWidthTipText());\n assertFalse(resultMatrixPlainText2.getShowStdDev());\n assertEquals(\"Plain Text\", resultMatrixPlainText2.getDisplayName());\n assertEquals(0, resultMatrixPlainText2.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText2.getRowNameWidth());\n assertTrue(resultMatrixPlainText2.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText2.getMeanWidth());\n assertTrue(resultMatrixPlainText2.getEnumerateColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText2.showStdDevTipText());\n assertEquals(1, resultMatrixPlainText2.getColCount());\n assertEquals(0, resultMatrixPlainText2.getDefaultMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText2.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText2.getRowCount());\n assertTrue(resultMatrixPlainText2.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText2.enumerateRowNamesTipText());\n assertTrue(resultMatrixPlainText2.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixPlainText2.getVisibleRowCount());\n assertFalse(resultMatrixPlainText2.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText2.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText2.getStdDevPrec());\n assertFalse(resultMatrixPlainText2.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText2.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText2.printRowNamesTipText());\n assertFalse(resultMatrixPlainText2.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText2.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText2.getEnumerateRowNames());\n assertFalse(resultMatrixPlainText2.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText2.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText2.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText2.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText2.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText2.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText2.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText2.showAverageTipText());\n assertTrue(resultMatrixPlainText2.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText2.countWidthTipText());\n assertFalse(resultMatrixPlainText2.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText2.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText2.getCountWidth());\n assertEquals(0, resultMatrixPlainText2.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText2.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText2.getMeanPrec());\n assertEquals(1, resultMatrixPlainText2.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText2.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText2.getColNameWidth());\n assertEquals(0, resultMatrixPlainText2.getSignificanceWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText2.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText2.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText2.removeFilterNameTipText());\n assertNotNull(resultMatrixPlainText2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixPlainText2.equals((Object)resultMatrixPlainText0));\n assertFalse(resultMatrixPlainText2.equals((Object)resultMatrixPlainText1));\n \n resultMatrixPlainText0.setRemoveFilterName(true);\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertNotSame(resultMatrixPlainText0, resultMatrixPlainText1);\n assertNotSame(resultMatrixPlainText0, resultMatrixPlainText2);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixPlainText0.equals((Object)resultMatrixPlainText1));\n assertFalse(resultMatrixPlainText0.equals((Object)resultMatrixPlainText2));\n \n String string0 = resultMatrixPlainText1.globalInfo();\n assertEquals(1, resultMatrixPlainText1.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText1.getColCount());\n assertTrue(resultMatrixPlainText1.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText1.printRowNamesTipText());\n assertFalse(resultMatrixPlainText1.getRemoveFilterName());\n assertFalse(resultMatrixPlainText1.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateColNamesTipText());\n assertEquals(5, resultMatrixPlainText1.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText1.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText1.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText1.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText1.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText1.showAverageTipText());\n assertEquals(2, resultMatrixPlainText1.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText1.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText1.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText1.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText1.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText1.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText1.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText1.getColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getMeanPrec());\n assertFalse(resultMatrixPlainText1.getShowStdDev());\n assertEquals(0, resultMatrixPlainText1.getMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText1.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText1.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText1.getDisplayName());\n assertTrue(resultMatrixPlainText1.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixPlainText1.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText1.meanWidthTipText());\n assertFalse(resultMatrixPlainText1.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText1.getSignificanceWidth());\n assertFalse(resultMatrixPlainText1.getShowAverage());\n assertEquals(1, resultMatrixPlainText1.getRowCount());\n assertEquals(0, resultMatrixPlainText1.getStdDevWidth());\n assertTrue(resultMatrixPlainText1.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText1.enumerateRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText1.stdDevWidthTipText());\n assertEquals(5, resultMatrixPlainText1.getCountWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixPlainText1.getVisibleRowCount());\n assertFalse(resultMatrixPlainText1.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText1.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText1.getStdDevPrec());\n assertFalse(resultMatrixPlainText1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText1.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText1.showStdDevTipText());\n assertEquals(25, resultMatrixPlainText1.getDefaultRowNameWidth());\n assertNotNull(string0);\n assertNotSame(resultMatrixPlainText1, resultMatrixPlainText0);\n assertNotSame(resultMatrixPlainText1, resultMatrixPlainText2);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", string0);\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText0));\n assertFalse(resultMatrixPlainText1.equals((Object)resultMatrixPlainText2));\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean0 = resultMatrixGnuPlot0.getDefaultEnumerateRowNames();\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n }", "private boolean isMzDoublePrecision()\r\n\t{\r\n\t\treturn this.mz_double_precision;\r\n\t}", "@Test\n public void testLogLikelihoodCorrelationMatrix()\n {\n IDoubleArray corr = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihoodCorrelationMatrix(corr, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public boolean isSingularMatrix() {\r\n try {\r\n return this.getDeterminant() == 0;\r\n } catch (InvalidMoveException e) {\r\n return false;\r\n }\r\n }", "public boolean hasMemRate() {\n return result.hasMemRate();\n }", "boolean isBiasNeuron();", "@Test(timeout = 4000)\n public void test104() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixLatex0.setStdDevPrec(0);\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixLatex0.setMean((-3113), (-2645), (-2645));\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixLatex0.WIN_STRING = \"\";\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n \n resultMatrixHTML0.setPrintRowNames(true);\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n // Undeclared exception!\n try { \n resultMatrixHTML0.toStringHeader();\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test127() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixCSV0.toString();\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Dataset,[1]\\nrow0,''\\n'[v/ /]',''\\n\", string0);\n \n resultMatrixCSV0.setStdDevWidth(161);\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(161, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int int0 = resultMatrixCSV0.getDefaultRowNameWidth();\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(161, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(25, int0);\n \n int int1 = resultMatrixCSV0.getRowNameWidth();\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(161, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(25, int1);\n assertTrue(int1 == int0);\n \n String string1 = resultMatrixCSV0.toString();\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(161, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Dataset,[1]\\nrow0,''\\n'[v/ /]',''\\n\", string1);\n assertTrue(string1.equals((Object)string0));\n \n resultMatrixCSV0.clearRanking();\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(161, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean0 = resultMatrixCSV0.getShowStdDev();\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(161, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int[] intArray0 = resultMatrixCSV0.getColOrder();\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(161, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertNull(intArray0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixHTML0);\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean1 = resultMatrixGnuPlot0.getDefaultEnumerateColNames();\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean1);\n assertTrue(boolean1 == boolean0);\n }", "@Test(timeout = 4000)\n public void test021() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(1, 1);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixPlainText0.LOSS_STRING = \"\";\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n \n resultMatrixPlainText0.m_RowOrder = null;\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n \n String string0 = resultMatrixPlainText0.doubleToString((-685.04), 1);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"-685.0\", string0);\n \n Enumeration enumeration0 = resultMatrixPlainText0.headerKeys();\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertNotNull(enumeration0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int0 = resultMatrixPlainText0.getDisplayCol(1);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals((-1), int0);\n \n String string1 = resultMatrixPlainText0.toStringMatrix();\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Dataset (1) col0 \\n-----------------------------------\\nrow0 (0) \|\\n-----------------------------------\\n(v/ /) \|\\n\", string1);\n assertFalse(string1.equals((Object)string0));\n \n String[][] stringArray0 = resultMatrixPlainText0.toArray();\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertNotNull(stringArray0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(3, stringArray0.length);\n \n boolean boolean0 = resultMatrixPlainText0.isMean(47);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean0);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(27, 2);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixLatex0.setCountWidth((-1570));\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string2 = resultMatrixLatex0.toStringMatrix();\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(string2.equals((Object)string1));\n assertFalse(string2.equals((Object)string0));\n \n boolean boolean1 = resultMatrixLatex0.getDefaultPrintColNames();\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean1);\n assertTrue(boolean1 == boolean0);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(27, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(27, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.m_RemoveFilterName = false;\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(27, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(27, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n \n String string3 = resultMatrixSignificance0.toStringRanking();\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(27, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(27, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertNotNull(string3);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-ranking data not set-\", string3);\n assertFalse(string3.equals((Object)string1));\n assertFalse(string3.equals((Object)string0));\n assertFalse(string3.equals((Object)string2));\n \n String string4 = resultMatrixSignificance0.globalInfo();\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(27, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(27, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertNotNull(string4);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", string4);\n assertFalse(string4.equals((Object)string2));\n assertFalse(string4.equals((Object)string3));\n assertFalse(string4.equals((Object)string1));\n assertFalse(string4.equals((Object)string0));\n \n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex(resultMatrixLatex0);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex1.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\n assertEquals(2, resultMatrixLatex1.getRowCount());\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex1.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex1.showAverageTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex1.showStdDevTipText());\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex1.meanPrecTipText());\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex1.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex1.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex1.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\n assertEquals(27, resultMatrixLatex1.getVisibleColCount());\n assertEquals(27, resultMatrixLatex1.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex1.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex1.countWidthTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex1.getPrintRowNames());\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex1.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex1.rowNameWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex1.globalInfo());\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex1.significanceWidthTipText());\n assertFalse(resultMatrixLatex1.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\n assertEquals(0, resultMatrixLatex1.getCountWidth());\n assertFalse(resultMatrixLatex1.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex1.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertNotNull(resultMatrixLatex1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\n \n boolean boolean2 = resultMatrixLatex1.getDefaultPrintRowNames();\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex1.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex1.getMeanWidth());\n assertEquals(2, resultMatrixLatex1.getRowCount());\n assertTrue(resultMatrixLatex1.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex1.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex1.getStdDevWidth());\n assertTrue(resultMatrixLatex1.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex1.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex1.getColNameWidth());\n assertTrue(resultMatrixLatex1.getDefaultPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex1.showAverageTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex1.showStdDevTipText());\n assertFalse(resultMatrixLatex1.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex1.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex1.meanPrecTipText());\n assertEquals(0, resultMatrixLatex1.getRowNameWidth());\n assertEquals(2, resultMatrixLatex1.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex1.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex1.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex1.getStdDevPrec());\n assertFalse(resultMatrixLatex1.getDefaultShowAverage());\n assertFalse(resultMatrixLatex1.getRemoveFilterName());\n assertFalse(resultMatrixLatex1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex1.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex1.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultRowNameWidth());\n assertEquals(27, resultMatrixLatex1.getVisibleColCount());\n assertEquals(27, resultMatrixLatex1.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixLatex1.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex1.getDefaultColNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex1.countWidthTipText());\n assertEquals(0, resultMatrixLatex1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex1.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex1.getPrintRowNames());\n assertEquals(0, resultMatrixLatex1.getSignificanceWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex1.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex1.rowNameWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex1.globalInfo());\n assertEquals(2, resultMatrixLatex1.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex1.significanceWidthTipText());\n assertFalse(resultMatrixLatex1.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex1.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex1.getMeanPrec());\n assertEquals(0, resultMatrixLatex1.getCountWidth());\n assertFalse(resultMatrixLatex1.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex1.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertNotSame(resultMatrixLatex1, resultMatrixLatex0);\n assertNotSame(resultMatrixLatex0, resultMatrixLatex1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertTrue(boolean2);\n assertFalse(resultMatrixLatex1.equals((Object)resultMatrixLatex0));\n assertFalse(boolean2 == boolean1);\n assertFalse(boolean2 == boolean0);\n assertFalse(resultMatrixLatex0.equals((Object)resultMatrixLatex1));\n \n String string5 = resultMatrixPlainText0.showAverageTipText();\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertNotNull(string5);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Whether to show the row with averages.\", string5);\n assertFalse(string5.equals((Object)string1));\n assertFalse(string5.equals((Object)string0));\n assertFalse(string5.equals((Object)string3));\n assertFalse(string5.equals((Object)string2));\n assertFalse(string5.equals((Object)string4));\n }", "@Test(timeout = 4000)\n public void test177() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getVisibleRowCount();\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n intArray0[1] = 1;\n intArray0[2] = 0;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(1, 2);\n resultMatrixGnuPlot0.getDefaultColNameWidth();\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n ResultMatrixGnuPlot resultMatrixGnuPlot2 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot2.setRowHidden(0, false);\n assertEquals(1, resultMatrixGnuPlot2.getVisibleRowCount());\n \n resultMatrixSignificance0.getDefaultShowStdDev();\n resultMatrixSignificance0.headerKeys();\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n }", "@Test(timeout = 4000)\n public void test077() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(9, 9);\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(9, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(9, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(9, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(9, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[] intArray0 = new int[6];\n intArray0[0] = 2;\n resultMatrixPlainText0.clear();\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(9, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(9, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(9, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(9, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n intArray0[1] = 9;\n intArray0[2] = 1;\n intArray0[3] = 0;\n intArray0[4] = 1;\n resultMatrixPlainText0.m_RankingWins = intArray0;\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(9, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(9, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(9, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(9, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n \n resultMatrixPlainText0.addHeader(\"\", \"\");\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(9, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(9, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(9, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(9, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixPlainText0.setRowName(9, (String) null);\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(9, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(9, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(9, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(9, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int int0 = resultMatrixPlainText0.getDefaultStdDevPrec();\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(9, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(9, resultMatrixPlainText0.getColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(9, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(9, resultMatrixPlainText0.getVisibleRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, int0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = null;\n try {\n resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixPlainText0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "private boolean compareMatrix(int[][] result , int[][] expected){\n if(result.length != expected.length \|\| result[0].length != expected[0].length){\n return false;\n }\n for(int i=0;i<result.length;i++){\n for(int j=0;j<result[0].length;j++){\n\n if(result[i][j] != expected[i][j]){\n return false;\n }\n }\n }\n return true;\n }", "@Test(timeout = 4000)\n public void test023() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixHTML0);\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixGnuPlot0.setCount((-1845), (-3199.2467));\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(0, 2082);\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(2082, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2082, resultMatrixLatex0.getRowCount());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n boolean boolean0 = resultMatrixLatex0.getDefaultPrintRowNames();\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(2082, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2082, resultMatrixLatex0.getRowCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertTrue(boolean0);\n }", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "boolean isAdaptive();", "@Test(timeout = 4000)\n public void test035() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.setRowNameWidth(1);\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String[] stringArray0 = resultMatrixPlainText0.getOptions();\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertNotNull(stringArray0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(19, stringArray0.length);\n \n String string0 = resultMatrixPlainText0.enumerateRowNamesTipText();\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", string0);\n \n int[] intArray0 = new int[3];\n intArray0[0] = 0;\n intArray0[1] = 2;\n intArray0[2] = 2;\n resultMatrixHTML0.setRowOrder(intArray0);\n assertArrayEquals(new int[] {0, 2, 2}, intArray0);\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(3, intArray0.length);\n }", "@Test\n public void testIsReversible_IDoubleArray_IDoubleArray()\n {\n IDoubleArray T = null;\n IDoubleArray pi = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isReversible(T, pi);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public static boolean isMatrixConfig( ProjectDTO type )\n {\n return \"hudson.matrix.MatrixConfiguration\".equals( type.getType() ); //$NON-NLS-1$\n }", "private boolean m27364ml() {\n AppMethodBeat.m2504i(91878);\n if (this.azY < this.azX.size()) {\n AppMethodBeat.m2505o(91878);\n return true;\n }\n AppMethodBeat.m2505o(91878);\n return false;\n }", "boolean hasMetrics();", "boolean hasMetrics();", "boolean isSetScoreAnalysis();", "@Before\n public void setUp() throws Exception {\n myM = new Matrix();\n / matrix1 = new int[4][4];\n for (int i = 0; i < matrix1.length; i++) {\n for (int j = 0; j < matrix1[0].length; j++) {\n if( i == j) {\n matrix1[i][j] = 1;\n }\n }\n }\n matrix2 = new int[6][6];\n for (int i = 0; i < matrix2.length; i++) {\n for (int j = 0; j < matrix2[0].length; j++) {\n matrix2[i][j] = i;\n }\n }\n matrix3 = new int[3][4];\n for (int i = 0; i < matrix3.length; i++) {\n for (int j = 0; j < matrix3[0].length; j++) {\n if( i == j) {\n matrix3[i][j] = 1;\n }\n\n }\n } /\n }", "@Test(timeout = 4000)\n public void test095() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(1, 1);\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixPlainText0.LOSS_STRING = \"\";\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n \n resultMatrixPlainText0.m_RowOrder = null;\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n \n String string0 = resultMatrixPlainText0.doubleToString((-685.04), 1);\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-685.0\", string0);\n \n Enumeration enumeration0 = resultMatrixPlainText0.headerKeys();\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertNotNull(enumeration0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int int0 = resultMatrixPlainText0.getDisplayCol(1);\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals((-1), int0);\n \n String string1 = resultMatrixPlainText0.toStringMatrix();\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Dataset (1) col0 \\n-----------------------------------\\nrow0 (0) \|\\n-----------------------------------\\n(v/ /) \|\\n\", string1);\n assertFalse(string1.equals((Object)string0));\n \n String[][] stringArray0 = resultMatrixPlainText0.toArray();\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertNotNull(stringArray0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(3, stringArray0.length);\n \n boolean boolean0 = resultMatrixPlainText0.isMean(47);\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(27, 2);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixLatex0.setCountWidth((-1570));\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String string2 = resultMatrixLatex0.toStringMatrix();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(string2.equals((Object)string0));\n assertFalse(string2.equals((Object)string1));\n \n boolean boolean1 = resultMatrixLatex0.getDefaultPrintColNames();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean1);\n assertTrue(boolean1 == boolean0);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(27, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(27, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string3 = resultMatrixSignificance0.toStringRanking();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(27, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(27, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertNotNull(string3);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-ranking data not set-\", string3);\n assertFalse(string3.equals((Object)string0));\n assertFalse(string3.equals((Object)string1));\n assertFalse(string3.equals((Object)string2));\n \n String string4 = resultMatrixSignificance0.globalInfo();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(27, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(2, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(27, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertNotNull(string4);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", string4);\n assertFalse(string4.equals((Object)string1));\n assertFalse(string4.equals((Object)string2));\n assertFalse(string4.equals((Object)string0));\n assertFalse(string4.equals((Object)string3));\n \n int int1 = resultMatrixLatex0.getDefaultMeanPrec();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, int1);\n assertFalse(int1 == int0);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(25, 0);\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(25, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getVisibleColCount());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setEnumerateRowNames(false);\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(25, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getVisibleColCount());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string5 = resultMatrixHTML0.toStringRanking();\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(25, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getVisibleColCount());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertNotNull(string5);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-ranking data not set-\", string5);\n assertFalse(string5.equals((Object)string2));\n assertFalse(string5.equals((Object)string1));\n assertFalse(string5.equals((Object)string0));\n assertFalse(string5.equals((Object)string4));\n \n int int2 = resultMatrixLatex0.getMeanWidth();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(2, resultMatrixLatex0.getRowCount());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(27, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(27, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, int2);\n assertFalse(int2 == int1);\n assertFalse(int2 == int0);\n }", "@Test(timeout = 4000)\n public void test020() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixPlainText0);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n \n resultMatrixSignificance0.setColOrder((int[]) null);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixSignificance0);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixHTML0);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n \n resultMatrixGnuPlot0.toStringSummary();\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n \n resultMatrixGnuPlot0.getMean(11, (-1));\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixGnuPlot0);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot2 = new ResultMatrixGnuPlot(resultMatrixGnuPlot1);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot2.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot2.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot2.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot2.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot2.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot2.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot2.getSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot2.getMeanPrec());\n assertFalse(resultMatrixGnuPlot2.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot2.globalInfo());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixGnuPlot2.getCountWidth());\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot2.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot2.significanceWidthTipText());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot2.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot2.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot2.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot2.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot2.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot2.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot2.printColNamesTipText());\n assertTrue(resultMatrixGnuPlot2.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot2.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot2.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot2.stdDevPrecTipText());\n assertEquals(1, resultMatrixGnuPlot2.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot2.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot2.getStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot2.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot2.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot2.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot2.getMeanWidth());\n assertEquals(25, resultMatrixGnuPlot2.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot2.showAverageTipText());\n assertFalse(resultMatrixGnuPlot2.getShowAverage());\n assertTrue(resultMatrixGnuPlot2.getEnumerateColNames());\n \n resultMatrixGnuPlot1.getRowName(0);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n \n resultMatrixGnuPlot2.getDefaultColNameWidth();\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(25, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot2.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot2.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot2.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot2.showStdDevTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot2.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot2.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot2.getSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot2.getMeanPrec());\n assertFalse(resultMatrixGnuPlot2.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot2.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot2.globalInfo());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultRowNameWidth());\n assertEquals(5, resultMatrixGnuPlot2.getCountWidth());\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot2.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot2.significanceWidthTipText());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot2.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot2.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot2.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot2.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot2.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot2.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot2.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot2.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot2.printColNamesTipText());\n assertTrue(resultMatrixGnuPlot2.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot2.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot2.getDefaultShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot2.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot2.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot2.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot2.stdDevPrecTipText());\n assertEquals(1, resultMatrixGnuPlot2.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot2.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot2.getStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot2.getVisibleRowCount());\n assertEquals(2, resultMatrixGnuPlot2.getDefaultStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot2.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot2.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot2.getMeanWidth());\n assertEquals(25, resultMatrixGnuPlot2.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot2.showAverageTipText());\n assertFalse(resultMatrixGnuPlot2.getShowAverage());\n assertTrue(resultMatrixGnuPlot2.getEnumerateColNames());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot3 = new ResultMatrixGnuPlot();\n assertEquals(0, resultMatrixGnuPlot3.getSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot3.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot3.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot3.getShowStdDev());\n assertTrue(resultMatrixGnuPlot3.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot3.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot3.globalInfo());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot3.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot3.getDefaultCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot3.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot3.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot3.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot3.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot3.getStdDevWidth());\n assertEquals(1, resultMatrixGnuPlot3.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot3.getDisplayName());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot3.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot3.getDefaultEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot3.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot3.getMeanPrec());\n assertTrue(resultMatrixGnuPlot3.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot3.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot3.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot3.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot3.showAverageTipText());\n assertTrue(resultMatrixGnuPlot3.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot3.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot3.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot3.countWidthTipText());\n assertEquals(1, resultMatrixGnuPlot3.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot3.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot3.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot3.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot3.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot3.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot3.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot3.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot3.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot3.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot3.printColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot3.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot3.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot3.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot3.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot3.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot3.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot3.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot3.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot3.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot3.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot3.showStdDevTipText());\n \n resultMatrixGnuPlot0.setRowHidden(97, false);\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(25, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(5, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n \n resultMatrixSignificance0.getDefaultShowStdDev();\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n \n resultMatrixSignificance0.headerKeys();\n }", "@Test(timeout = 4000)\n public void test001() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixLatex0.padString((String) null, (-857));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "@Test\n public void test24() throws Throwable {\n CostMatrix costMatrix0 = Evaluation.handleCostOption(\"\", 10797);\n assertNull(costMatrix0);\n }", "public void buildModel(SparseMatrix rm) {\n\t\trateMatrix = rm;\n\t\t\n\t\t/* =====================\n\t\t * COMMENT FOR AUTHORS\n\t\t * =====================\n\t\t * Using the training data in \"rm\", you are supposed to write codes to learn your model here.\n\t\t * If your method is memory-based one, you may leave the model as rateMatrix itself, simply by \"rateMatrix = rm;\".\n\t\t * If your method is model-based algorithm, you may not need a reference to rateMatrix.\n\t\t * (In this case, you may remove the variable \"rateMatrix\", just as matrix-factorization-based methods do in this toolkit.)\n\t\t * Note that in any case train data in \"rateMatrix\" are read-only. You should not alter any value in it to guarantee proper operation henceforth.\n\t\t /\n\t}", "@Test\n public void testRegisterRate() {\n System.out.println(\"registerRate\");\n Rate r = new Rate(0);\n RateList instance = new RateList();\n boolean expResult = true;\n boolean result = instance.registerRate(r);\n assertEquals(expResult, result);\n }", "public boolean check(Matrix matrix) {\n return this.getWidth() == matrix.getWidth() && this.getHeight() == matrix.getHeight();\n }", "public void checkAndDisplayMatrix() {\n if (checkMatrixBounds()) {\n setImageViewMatrix(getDrawMatrix());\n }\n }", "@Test(timeout = 4000)\n public void test183() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.toStringMatrix();\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n resultMatrixPlainText0.globalInfo();\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n resultMatrixCSV1.setCountWidth(2);\n resultMatrixCSV1.setSignificanceWidth((-259));\n resultMatrixCSV1.setShowAverage(true);\n resultMatrixCSV0.toStringKey();\n resultMatrixCSV1.clear();\n resultMatrixPlainText0.meanPrecTipText();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixCSV0);\n resultMatrixLatex0.toStringMatrix();\n resultMatrixCSV0.getColOrder();\n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex();\n resultMatrixLatex1.getDefaultPrintColNames();\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixPlainText0);\n resultMatrixSignificance0.toStringRanking();\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n resultMatrixSignificance1.globalInfo();\n resultMatrixLatex1.getDefaultMeanPrec();\n ResultMatrixHTML resultMatrixHTML0 = null;\n try {\n resultMatrixHTML0 = new ResultMatrixHTML(1, (-1056));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "private void compareMatrices(double[][] firstM, double[][] secondM) {\n assertEquals(firstM.length, secondM.length);\n\n for(int i=0; i<firstM.length; i++) {\n assertEquals(firstM[i].length, secondM[i].length);\n\n for(int j=0; j<firstM[0].length; j++) {\n assertEquals(\"i,j = \"+i+\",\"+j, \n firstM[i][j], secondM[i][j], TOLERANCE);\n }\n }\n }", "@java.lang.Override\n public boolean hasFunctionApproximation() {\n return calibratorCase_ == 1;\n }", "@Test(timeout = 4000)\n public void test176() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixPlainText0);\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixPlainText0);\n resultMatrixCSV0.clearRanking();\n resultMatrixCSV0.getShowStdDev();\n resultMatrixCSV0.getColOrder();\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(5, resultMatrixCSV0.getCountWidth());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.setSignificance((-1), 2, 0);\n resultMatrixGnuPlot0.toStringRanking();\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n \n resultMatrixPlainText0.getDefaultPrintColNames();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n }", "@Test(timeout = 4000)\n public void test069() throws Throwable {\n int int0 = 61;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(61, 61);\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(61, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(61, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(61, resultMatrixPlainText0.getColCount());\n assertEquals(61, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixPlainText0.trimString(\"\", (-1222));\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(61, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(61, resultMatrixPlainText0.getRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(61, resultMatrixPlainText0.getColCount());\n assertEquals(61, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"\", string0);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixPlainText0);\n }", "@Test(timeout = 4000)\n public void test018() throws Throwable {\n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML();\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixHTML.main((String[]) null);\n String string0 = resultMatrixHTML0.printRowNamesTipText();\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Whether to output row names or just numbers representing them.\", string0);\n }", "protected boolean isRateRunnerEnabled() {\r\n\t\tDescription description = getDescription();\r\n\t\treturn description.testCount() > 1 && isRepeatRunnerEnabled();\r\n\t}", "@Test(timeout = 4000)\n public void test000() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[] intArray0 = new int[4];\n intArray0[0] = 0;\n resultMatrixPlainText0.m_SignificanceWidth = 1;\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n \n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {0, 0, 0, 0}, intArray0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(4, intArray0.length);\n \n String string0 = resultMatrixPlainText0.rowNameWidthTipText();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", string0);\n \n int int0 = resultMatrixPlainText0.getDefaultCountWidth();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(5, int0);\n \n String string1 = resultMatrixPlainText0.toString();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Dataset (1) col0 \\n-----------------------------------\\nrow0 (0) \|\\n-----------------------------------\\n(v/ /) \|\\n\", string1);\n assertFalse(string1.equals((Object)string0));\n \n ResultMatrixHTML resultMatrixHTML0 = null;\n try {\n resultMatrixHTML0 = new ResultMatrixHTML(1, (-62));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@java.lang.Override\n public boolean hasFunctionApproximation() {\n return calibratorCase_ == 1;\n }", "@Test\n public void test_IsOxideCorr() {\n System.out.println(\"Testing MeasuredRatioModel's isOxideCorr()\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = false;\n boolean result = instance.isOxideCorr();\n assertEquals(expResult, result);\n instance = new MeasuredRatioModel(\"Specific\",new BigDecimal(\"213\"),\"ABS\",new BigDecimal(\"0.4324\"),true,true);\n result = instance.isOxideCorr();\n expResult=true;\n assertEquals(expResult, result);\n }", "@Test(timeout = 4000)\n public void test144() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getDefaultMeanWidth();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n resultMatrixSignificance0.setCountWidth(1);\n intArray0[1] = 0;\n intArray0[2] = 0;\n resultMatrixSignificance0.m_RowOrder = intArray0;\n resultMatrixSignificance0.getSignificance(0, 322);\n int int1 = resultMatrixSignificance0.getSignificanceWidth();\n assertEquals(1, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, int1);\n }" ]	[ "0.6774746", "0.57368207", "0.5717755", "0.5604211", "0.5588953", "0.5579619", "0.5544486", "0.5523025", "0.55169946", "0.54659516", "0.5449605", "0.54078823", "0.54061824", "0.5367155", "0.5344988", "0.5337239", "0.5317689", "0.53174573", "0.5270262", "0.5268403", "0.52668077", "0.52628636", "0.52598774", "0.52477074", "0.5244436", "0.52383095", "0.5216364", "0.51978886", "0.51834977", "0.51754946", "0.5142427", "0.5134291", "0.50981146", "0.508961", "0.5087978", "0.50847095", "0.50836813", "0.50768214", "0.5070671", "0.50621724", "0.50604814", "0.5046018", "0.50432116", "0.50407755", "0.5038562", "0.5033481", "0.5032707", "0.50301856", "0.5021526", "0.5006992", "0.50059354", "0.49979287", "0.49955702", "0.49886167", "0.4984201", "0.49808872", "0.49731198", "0.4971926", "0.49674642", "0.49602458", "0.49540123", "0.4947839", "0.4943526", "0.4943277", "0.49428266", "0.494133", "0.4937858", "0.4936772", "0.49329266", "0.4929737", "0.49258974", "0.4918773", "0.49029857", "0.49018562", "0.48997304", "0.48991954", "0.48904195", "0.48873788", "0.48873788", "0.48870757", "0.48856932", "0.48837957", "0.48820782", "0.48759547", "0.4873459", "0.4873242", "0.48697644", "0.48696482", "0.48608586", "0.4851898", "0.4849015", "0.48488116", "0.48474896", "0.48455822", "0.48407567", "0.4840265", "0.48264477", "0.4816069", "0.48150867", "0.47991985" ]	0.8684727	0
Test of isReversible method, of class MarkovModelUtilities.	@Test public void testIsReversible_IDoubleArray() { IDoubleArray T = null; MarkovModelUtilities instance = new MarkovModelUtilities(); boolean expResult = false; boolean result = instance.isReversible(T); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Override\n public boolean isReversible() {\n return true;\n }", "public boolean isReversible() {\n\t\treturn false;\r\n\t}", "@Test\n public void testIsReversible_IDoubleArray_IDoubleArray()\n {\n IDoubleArray T = null;\n IDoubleArray pi = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isReversible(T, pi);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Override\n\tpublic boolean reverseCorrectIt() {\n\t\treturn false;\n\t}", "@Override\r\n\tpublic boolean reverseAccrualIt() {\n\t\r\n\t\t\r\n\t\treturn false;\r\n\t}", "@Test\n public void testInversible() {\n System.out.println(\"inversible\");\n Matrix matriz = null;\n boolean expResult = false;\n boolean result = utilsHill.inversible(matriz);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Override\n\tpublic boolean reverseAccrualIt() {\n\t\treturn false;\n\t}", "@Test\n\tpublic void testReverse() {\n\t\tassertEquals(6543, Exercise6point3.reverse(3456));\n\t\tif (6543 == Exercise6point3.reverse(3456)) {\n\t\t\tSystem.out.println(\"Reverse function is correct.\");\n\t\t}\n\t\telse {\n\t\t\tSystem.out.println(\"Reverse Function is a failure.\");\n\t\t}\n\t}", "public boolean supportsReverseComparison() {\n return true;\n }", "@Test\n public void shouldPredictByRotatingPreviousMoveInReverseDirection() {\n ReverseRotationStrategy strategy = new ReverseRotationStrategy();\n\n strategy.addHistory(Shape.ROCK, Shape.PAPER);\n assertTrue(Arrays.equals(strategy.getNextMoves(), Shape.ROCK.defeatedBy()));\n\n strategy.addHistory(Shape.ROCK, Shape.ROCK);\n assertTrue(Arrays.equals(strategy.getNextMoves(), Shape.SPOCK.defeatedBy()));\n }", "boolean isBackwardPredicted()\n {\n return (mbType & BACKWARD)!=0;\n }", "public boolean canRevert(IBlockState state) {\n\t\tfor (IBiStateMapping i : this) {\n\t\t\tif (i.canRevert(state)) return true;\n\t\t}\n\t\treturn false;\n\t}", "static void test_reverse() {\n\n System.out.println( \"\\nTESTS for reverse() : \" );\n\n System.out.print( \"String 'Racecar' returns : \" );\n try { System.out.println(StringStuff.reverse( \"Racecar\" ) ); }\n catch ( Exception e ) { System.out.println ( false ); }\n\n System.out.print( \"String 'sbmal EVOL I' returns : \" );\n try { System.out.println(StringStuff.reverse( \"sbmal EVOL I\" ) ); }\n catch ( Exception e ) { System.out.println ( false ); }\n\n }", "boolean isMirror();", "@Test\r\n\tpublic void test04_isReverse() {\r\n\r\n\t\tRecursiveMethods rm = new RecursiveMethods();\r\n\r\n\t\tassertEquals(\"\", rm.reverseOf(\"\"));\r\n\t\tassertEquals(\"a\", rm.reverseOf(\"a\"));\r\n\t\tassertEquals(\"ba\", rm.reverseOf(\"ab\"));\r\n\t\tassertEquals(\"cba\", rm.reverseOf(\"abc\"));\r\n\t\tassertEquals(\"dcba\", rm.reverseOf(\"abcd\"));\r\n\t}", "public boolean canRevert(IBlockState state) {\n\t\t\treturn canRevert(state.getBlock(), state.getBlock().getMetaFromState(state));\n\t\t}", "boolean hasIsRevanche();", "@Test\n\tpublic void testReverseBits1() {\n\t sut.reverseBits(65536);\n\t\t// ASSERT.that(sut.addBinary(i1, i2)).is(o);\n\t}", "@Property\n @Report(Reporting.GENERATED)\n public boolean broken_reverse_property(@ForAll List<?> original) {\n return Lists.reverse(original).equals(original);\n }", "public void reportIrreversibleChange() {\r\n Assert.isTrue(isReceiving());\r\n irreversibleChangeReported = true;\r\n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public boolean reverse() {\n if (type == 0) {\n return false;\n }\n type = (type == 1) ? 2 : 1;\n isFresh = false;\n return true;\n }", "public boolean reverseAccrualIt() {\n log.info(toString());\n\n if (!isReceipt()) {\n CQChangeStateVP(MVALORPAGO.EMITIDO, MVALORPAGO.REVERTIDO);\n CQChangeStateVP(MVALORPAGO.IMPRESO, MVALORPAGO.REVERTIDO);\n\n }\n\n return false;\n }", "public boolean isReverse() {\n\t\treturn reverse;\n\t}", "@Test\n public void testRelRevSupport() throws RepositoryException {\n assertExtract(\"/html/rdfa/rel-rev.html\");\n logger.debug(dumpModelToTurtle());\n\n assertContains(baseIRI, RDFUtils.iri(\"http://bob.example.com/cite\"),\n RDFUtils.iri(\"http://www.example.com/books/the_two_towers\"));\n assertContains(RDFUtils.iri(\"http://path/to/chapter\"), RDFUtils.iri(\"http://bob.example.com/isChapterOf\"),\n baseIRI);\n }", "public void changeisReversed()\r\n\t{\r\n\t\tisReversed = !isReversed;\r\n\t}", "@Property\n @Report(Reporting.GENERATED)\n public boolean reverse_of_reversed_is_equal_to_original(@ForAll List<?> original) {\n return Lists.reverse(Lists.reverse(original)).equals(original);\n }", "@Test\n public void testBackwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.backwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void testRevert() {\n\t\tthis.two.revert();\n\t\tthis.one.revert();\n\t\tthis.replayMockObjects();\n\t\tthis.aggregate.revert();\n\t\tthis.verifyMockObjects();\n\t}", "boolean hasRecode();", "protected boolean isReverseTrue(int step)\n\t{\n\t\tif (parent == null)\n\t\t{\n\t\t\treturn isReverse(step);\n\t\t}\n\t\telse\n\t\t{\n\t\t\tint p = (parent.isReverseTrue(parent.getStep())) ? -1 : 1;\n\t\t\tint s = (isReverse(step)) ? -1 : 1;\n\t\t\treturn p * s == -1;\n\t\t}\n\t}", "private void checkReverseMap() throws ApplicationException {\n if (reverseMap == null) {\n reverseMap = Data.makeReverseMap(networkIds);\n }\n }", "public boolean isMateReverseStrand(){\n\t\treturn testBitwiseFlag(32);\n\t}", "public void reverse() {\n/* 298 / throw new RuntimeException(\"Stub!\");\n/ / }", "public boolean isRightToLeft() {\n/ 493 / throw new RuntimeException(\"Stub!\");\n/ / }", "public boolean isReverseStrand(){\n\t\treturn testBitwiseFlag(16);\n\t}", "public abstract boolean teReproduces();", "abstract protected void revert();", "public boolean isNeedMirrorSelfie() {\n return true;\n }", "public void reverse() {\n throw new UnsupportedOperationException();\n }", "boolean isBidirPredicted()\n {\n return ((mbType & FORWARD)!=0) && ((mbType & BACKWARD)!=0);\n }", "@Test\n public void testEdgeReverse() {\n Edge<Integer, String> target = new Edge<>(1, 2, \"hello\");\n Edge<Integer, String> reverse = target.reverse();\n assertNotNull(reverse);\n assertEquals(Integer.valueOf(2), reverse.getFrom());\n assertEquals(Integer.valueOf(1), reverse.getTo());\n }", "public boolean isInverted() {\n/ 59 / return ((getData() & 0x8) != 0);\n/ / }", "@Test\n\tpublic void checkReverseString()\n\n\t{\n\t\tassertEquals(\"nitin si a doog yob \",test.testReverseString(\"nitin is a good boy\"));\n\t\t\n\t}", "@Test\n public void testRequireOnFalseConditionOnInternalCondition() {\n Address redirectContract = deployRedirectContract();\n TransactionResult result = callRedirectContract(redirectContract, false);\n\n // If internal call was not SUCCESS then redirect gets a REVERT as well.\n assertTrue(result.transactionStatus.isReverted());\n }", "public boolean canSeekBackwards() {\n/ 131 / return true;\n/ / }", "public boolean getReverse() {\r\n return Reverse;\r\n }", "public boolean getReverse() {\r\n return Reverse;\r\n }", "public void setReverse(Boolean newValue);", "public void setReverse(Boolean newValue);", "void reverse();", "void reverse();", "public abstract boolean testRightmostBit();", "boolean isForwardPredicted()\n {\n return ((mbType & FORWARD) != 0);\n }", "@Test\n public void testReverse() {\n System.out.println(\"reverse\");\n al.add(1);\n al.add(2);\n al.add(3);\n ArrayList<Integer> rl = new ArrayList<>();\n rl.add(3);\n rl.add(2);\n rl.add(1);\n al.reverse();\n assertEquals(rl.get(0), al.get(0));\n assertEquals(rl.get(1), al.get(1));\n assertEquals(rl.get(2), al.get(2));\n }", "@Test\n\tpublic void redoTask_invalidState(){\n\t\tRedoCommand command = new RedoCommand();\n\t\tcommand.setData(model);\n\t\tCommandResult result = command.execute();\n\t\tString feedback = result.feedbackToUser;\n\t\tassertTrue(feedback.equals(RedoCommand.MESSAGE_REDO_INVALID_STATE));\n\t}", "@Test\n public void testSolution() {\n assertArrayEquals(new int[]{3,2,1} , new Task().reverse3( new int[]{1, 2, 3}));\n assertArrayEquals(new int[]{5, 11, 9} , new Task().reverse3( new int[]{9, 11, 5}));\n assertArrayEquals(new int[]{7, 0, 0} , new Task().reverse3( new int[]{0, 0, 7}));\n assertArrayEquals(new int[]{2, 1, 2} , new Task().reverse3( new int[]{2, 1, 2}));\n assertArrayEquals(new int[]{1, 2, 1} , new Task().reverse3( new int[]{1, 2, 1}));\n assertArrayEquals(new int[]{2, 11, 3} , new Task().reverse3( new int[]{3, 11, 2}));\n assertArrayEquals(new int[]{7, 2, 3} , new Task().reverse3( new int[]{3, 2, 7}));\n\n }", "@Test\n public void revertBackTest() {\n stack.revertBack(stack2);\n assertEquals(stack2.toString(), stack.toString());\n\n ResourceStack stack3 = new ResourceStack(99,99,99,99);\n stack2.revertBack(stack3);\n assertEquals(stack3.toString(), stack2.toString());\n }", "public boolean canMirror() {\n\t\tif (mirrorTime == true) {\n\t\t\tmirrorTime = false;\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}", "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public Reversal() {\n\t\tsuper();\n\t}", "public boolean isInvertible() {\r\n\t\t// If the\r\n\t\t// determinant is near enough to zero then inverse transform operations\r\n\t\t// might not carry enough precision to produce meaningful results. so we\r\n\t\t// are using EPSILON\r\n\t\treturn (Math.abs(getDeterminant()) > EPSILON);\r\n\t}", "public boolean isInversed() {\n return isinv != null && isinv.booleanValue();\n }", "@Override\n\tpublic boolean isBackable() {\n\t\treturn false;\n\t}", "@Test\n public void testRecursionsFailure() throws Exception {\n assertTrue(doRecursions(false));\n }", "@Test\n public void testStationaryDistributionRevQuick()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.stationaryDistributionRevQuick(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testReverseRow(){\n ROW.getReverseRow(ROW.getIndex());\n }", "public boolean isRtlMirroring() {\n return getElement().isRtlMirroring();\n }", "public boolean testPalindromicity(String s) {\n s = s.replaceAll(\"[^a-zA-Z]\", \"\").toLowerCase();\n char[] sArr = s.toCharArray();\n\n int i=0;\n while (i < sArr.length-1-i) {\n if (sArr[i] != sArr[sArr.length-1-i])\n return false;\n i++;\n }\n return true;\n }", "@Override\n\t\tpublic boolean wasRetried()\n\t\t{\n\t\t\treturn false;\n\t\t}", "void reverseDirection();", "protected boolean getMustReverseCoordinates(int faceId, int prevEdgeId, int curEdgeId,\n VPFPrimitiveData.PrimitiveInfo[] edgeInfo)\n {\n\n Orientation o = this.getOrientation(faceId, curEdgeId, edgeInfo);\n if (o == null)\n {\n return false;\n }\n\n switch (o)\n {\n case LEFT:\n return true;\n case RIGHT:\n return false;\n case LEFT_AND_RIGHT:\n return (prevEdgeId > 0) && this.auxiliaryMustReverseCoordinates(prevEdgeId, curEdgeId, edgeInfo);\n default:\n return false;\n }\n }", "@Test\n public void reverseArray () {\n\n int[] input = {-2,5,-1,7,-3};\n int[] output = {-3,7,-1,5,-2};\n assertArrayEquals(output, Computation.reversal(input));\n\n }", "public boolean solve(){\n\t\t//Solve the puzzle using backtrack method\n\t\treturn solve(0,0);\n\t}", "public void setReverse(boolean reverse) {\n\t\t_reverse = reverse;\n\t}", "@org.junit.Test\n\tpublic void testingStringReverse() {\n\t\tString result=object.reverseString(\"Game of Thrones\");\n\t\tassertEquals(\"senorhT fo emaG\",result );\n\t}", "public void mirror() {\n this.mirrored = !this.mirrored;\n }", "protected void assertBackToState() {\n\t\tassertTrue(recorder.recorded(EC.TLC_BACK_TO_STATE));\n\t\tfinal List<Object> loop = recorder.getRecords(EC.TLC_BACK_TO_STATE);\n\t\tassertTrue(loop.size() > 0);\n\t}", "@JSProperty(\"reversed\")\n boolean getReversed();", "@LargeTest\n public void testVignetteRelaxed() {\n TestAction ta = new TestAction(TestName.VIGNETTE_RELAXED);\n runTest(ta, TestName.VIGNETTE_RELAXED.name());\n }", "@Test\n\tvoid testReverseOnlyLetters() {\n\t\tassertEquals(\"dc-ba\", new ReverseOnlyLetters().reverseOnlyLetters(\"ab-cd\"));\n\t\tassertEquals(\"j-Ih-gfE-dCba\", new ReverseOnlyLetters().reverseOnlyLetters(\"a-bC-dEf-ghIj\"));\n\t\tassertEquals(\"Qedo1ct-eeLg=ntse-T!\", new ReverseOnlyLetters().reverseOnlyLetters(\"Test1ng-Leet=code-Q!\"));\n\t\tassertEquals(\"e\", new ReverseOnlyLetters().reverseOnlyLetters(\"e\"));\n\t\tassertEquals(\"\", new ReverseOnlyLetters().reverseOnlyLetters(\"\"));\n\t\tassertEquals(\"-\", new ReverseOnlyLetters().reverseOnlyLetters(\"-\"));\n\t}", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "boolean isTransitive();", "public void setReverse(boolean reverse) {\n this.repeat = !reverse;\n }", "@Override\n public void verifyDeterministic() throws NonDeterministicException {\n }", "@Test\n\tpublic void testHasUnsavedChangesModifiedFileRevert() throws Exception {\n\t\tIRodinFile rodinFile = createRodinFile(\"P/x.test\");\n\t\tRodinTestRoot root = (RodinTestRoot) rodinFile.getRoot();\n\t\tcreateNEPositive(root, \"foo\", null);\n\t\trodinFile.makeConsistent(null);\n\t\tassertUnsavedChanges(rodinFile, false);\n\t}", "public abstract boolean deterministic () ;", "void checkReconstructible() throws InvalidObjectException {\n // subclasses can override\n }", "@Test\n public void testNegativeM() {\n assertEquals(-1, PiGenerator.powerMod(2, 2, -1));\n }", "public boolean isRightSideInverted() {\n return rightSideMultiplier == -1.0;\n }", "@Test\n public void reverseComplement() {\n ReverseComplementor r = new ReverseComplementor();\n String x = r.reverseComplement(\"AATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTCCGATCT\");\n assertEquals(\"AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTAGATCTCGGTGGTCGCCGTATCATT\", x);\n }", "public boolean reproducirse() {\n r = new Random();\r\n return Float.compare(r.nextFloat(), probReproducirse) <= 0;\r\n }", "@Test\n\tpublic void testTCanMoveRight() {\n\t\ttank.AbilityToMoveRight();\n\t\tassertEquals(true, tank.getRight());\n\t}", "public boolean mv() {\n return false;\n }", "public boolean isReifiable() {\n ASTNode$State state = state();\n try { return false; }\n finally {\n }\n }", "@Test\n\tpublic void testBooleanToString() {\n\n\t\t// forwards for yes and no\n\t\tAssert.assertEquals(converter.convertReverse(false), \"No\");\n\t\tAssert.assertEquals(converter.convertReverse(true), \"Yes\");\n\n\t}", "void reverseTurnOrder() {\n turnOrder = -1;\n }", "private void assertReflexive(UMLMessageArgument msgArg) throws Exception\r\n\t{\r\n\t\tif(msgArg!=null)\r\n\t\t\tassertTrue(msgArg.equals(msgArg));\r\n\t}", "private boolean isTest() {\n \t\treturn false;\n\t\t// return !index.isLeft();\n\t}", "@Test\n\tpublic void testIsConsistentModifiedFileRevert() throws Exception {\n\t\tIRodinFile rodinFile = createRodinFile(\"P/x.test\");\n\t\tRodinTestRoot root = (RodinTestRoot) rodinFile.getRoot();\n\t\tcreateNEPositive(root, \"foo\", null);\n\t\trodinFile.makeConsistent(null);\n\t\tassertTrue(\"reverted file should be consistent\", \n\t\t\t\trodinFile.isConsistent());\n\t}" ]	[ "0.80372834", "0.80205834", "0.6975375", "0.6713375", "0.6335168", "0.63269925", "0.6298313", "0.61435604", "0.6074352", "0.6065609", "0.5908621", "0.5870563", "0.5857251", "0.58427566", "0.5791016", "0.57618284", "0.57080996", "0.5701093", "0.5668724", "0.561355", "0.5589243", "0.5555407", "0.55462825", "0.55414903", "0.5510482", "0.54978865", "0.5491717", "0.5471103", "0.5466382", "0.5458937", "0.54457974", "0.5425284", "0.54237205", "0.5420494", "0.5417446", "0.5388568", "0.53586644", "0.53355485", "0.5316144", "0.5312458", "0.5302889", "0.5291231", "0.5280036", "0.5276343", "0.5273805", "0.524886", "0.5236013", "0.5236013", "0.52348006", "0.52348006", "0.5216901", "0.5216901", "0.52082175", "0.5188201", "0.5165025", "0.514344", "0.51333576", "0.5117011", "0.5114983", "0.51007754", "0.5095413", "0.50879145", "0.5077169", "0.5073644", "0.5064523", "0.50620735", "0.50576687", "0.50548947", "0.5052354", "0.50459975", "0.5026829", "0.50259054", "0.5024186", "0.50225997", "0.50148654", "0.5014742", "0.50101864", "0.4987339", "0.49857885", "0.49851245", "0.4982619", "0.49803266", "0.49610153", "0.49598053", "0.49594998", "0.49555144", "0.49518856", "0.49361706", "0.4926963", "0.49254104", "0.49149168", "0.49146974", "0.491144", "0.49108604", "0.49037474", "0.49036396", "0.49010915", "0.4892466", "0.48773578", "0.4875389" ]	0.7041612	2
Test of isReversible method, of class MarkovModelUtilities.	@Test public void testIsReversible_IDoubleArray_IDoubleArray() { IDoubleArray T = null; IDoubleArray pi = null; MarkovModelUtilities instance = new MarkovModelUtilities(); boolean expResult = false; boolean result = instance.isReversible(T, pi); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Override\n public boolean isReversible() {\n return true;\n }", "public boolean isReversible() {\n\t\treturn false;\r\n\t}", "@Test\n public void testIsReversible_IDoubleArray()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isReversible(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Override\n\tpublic boolean reverseCorrectIt() {\n\t\treturn false;\n\t}", "@Override\r\n\tpublic boolean reverseAccrualIt() {\n\t\r\n\t\t\r\n\t\treturn false;\r\n\t}", "@Test\n public void testInversible() {\n System.out.println(\"inversible\");\n Matrix matriz = null;\n boolean expResult = false;\n boolean result = utilsHill.inversible(matriz);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Override\n\tpublic boolean reverseAccrualIt() {\n\t\treturn false;\n\t}", "@Test\n\tpublic void testReverse() {\n\t\tassertEquals(6543, Exercise6point3.reverse(3456));\n\t\tif (6543 == Exercise6point3.reverse(3456)) {\n\t\t\tSystem.out.println(\"Reverse function is correct.\");\n\t\t}\n\t\telse {\n\t\t\tSystem.out.println(\"Reverse Function is a failure.\");\n\t\t}\n\t}", "public boolean supportsReverseComparison() {\n return true;\n }", "@Test\n public void shouldPredictByRotatingPreviousMoveInReverseDirection() {\n ReverseRotationStrategy strategy = new ReverseRotationStrategy();\n\n strategy.addHistory(Shape.ROCK, Shape.PAPER);\n assertTrue(Arrays.equals(strategy.getNextMoves(), Shape.ROCK.defeatedBy()));\n\n strategy.addHistory(Shape.ROCK, Shape.ROCK);\n assertTrue(Arrays.equals(strategy.getNextMoves(), Shape.SPOCK.defeatedBy()));\n }", "boolean isBackwardPredicted()\n {\n return (mbType & BACKWARD)!=0;\n }", "public boolean canRevert(IBlockState state) {\n\t\tfor (IBiStateMapping i : this) {\n\t\t\tif (i.canRevert(state)) return true;\n\t\t}\n\t\treturn false;\n\t}", "static void test_reverse() {\n\n System.out.println( \"\\nTESTS for reverse() : \" );\n\n System.out.print( \"String 'Racecar' returns : \" );\n try { System.out.println(StringStuff.reverse( \"Racecar\" ) ); }\n catch ( Exception e ) { System.out.println ( false ); }\n\n System.out.print( \"String 'sbmal EVOL I' returns : \" );\n try { System.out.println(StringStuff.reverse( \"sbmal EVOL I\" ) ); }\n catch ( Exception e ) { System.out.println ( false ); }\n\n }", "boolean isMirror();", "@Test\r\n\tpublic void test04_isReverse() {\r\n\r\n\t\tRecursiveMethods rm = new RecursiveMethods();\r\n\r\n\t\tassertEquals(\"\", rm.reverseOf(\"\"));\r\n\t\tassertEquals(\"a\", rm.reverseOf(\"a\"));\r\n\t\tassertEquals(\"ba\", rm.reverseOf(\"ab\"));\r\n\t\tassertEquals(\"cba\", rm.reverseOf(\"abc\"));\r\n\t\tassertEquals(\"dcba\", rm.reverseOf(\"abcd\"));\r\n\t}", "public boolean canRevert(IBlockState state) {\n\t\t\treturn canRevert(state.getBlock(), state.getBlock().getMetaFromState(state));\n\t\t}", "boolean hasIsRevanche();", "@Test\n\tpublic void testReverseBits1() {\n\t sut.reverseBits(65536);\n\t\t// ASSERT.that(sut.addBinary(i1, i2)).is(o);\n\t}", "@Property\n @Report(Reporting.GENERATED)\n public boolean broken_reverse_property(@ForAll List<?> original) {\n return Lists.reverse(original).equals(original);\n }", "public void reportIrreversibleChange() {\r\n Assert.isTrue(isReceiving());\r\n irreversibleChangeReported = true;\r\n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public boolean reverse() {\n if (type == 0) {\n return false;\n }\n type = (type == 1) ? 2 : 1;\n isFresh = false;\n return true;\n }", "public boolean reverseAccrualIt() {\n log.info(toString());\n\n if (!isReceipt()) {\n CQChangeStateVP(MVALORPAGO.EMITIDO, MVALORPAGO.REVERTIDO);\n CQChangeStateVP(MVALORPAGO.IMPRESO, MVALORPAGO.REVERTIDO);\n\n }\n\n return false;\n }", "public boolean isReverse() {\n\t\treturn reverse;\n\t}", "@Test\n public void testRelRevSupport() throws RepositoryException {\n assertExtract(\"/html/rdfa/rel-rev.html\");\n logger.debug(dumpModelToTurtle());\n\n assertContains(baseIRI, RDFUtils.iri(\"http://bob.example.com/cite\"),\n RDFUtils.iri(\"http://www.example.com/books/the_two_towers\"));\n assertContains(RDFUtils.iri(\"http://path/to/chapter\"), RDFUtils.iri(\"http://bob.example.com/isChapterOf\"),\n baseIRI);\n }", "public void changeisReversed()\r\n\t{\r\n\t\tisReversed = !isReversed;\r\n\t}", "@Property\n @Report(Reporting.GENERATED)\n public boolean reverse_of_reversed_is_equal_to_original(@ForAll List<?> original) {\n return Lists.reverse(Lists.reverse(original)).equals(original);\n }", "@Test\n public void testBackwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.backwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void testRevert() {\n\t\tthis.two.revert();\n\t\tthis.one.revert();\n\t\tthis.replayMockObjects();\n\t\tthis.aggregate.revert();\n\t\tthis.verifyMockObjects();\n\t}", "boolean hasRecode();", "protected boolean isReverseTrue(int step)\n\t{\n\t\tif (parent == null)\n\t\t{\n\t\t\treturn isReverse(step);\n\t\t}\n\t\telse\n\t\t{\n\t\t\tint p = (parent.isReverseTrue(parent.getStep())) ? -1 : 1;\n\t\t\tint s = (isReverse(step)) ? -1 : 1;\n\t\t\treturn p * s == -1;\n\t\t}\n\t}", "private void checkReverseMap() throws ApplicationException {\n if (reverseMap == null) {\n reverseMap = Data.makeReverseMap(networkIds);\n }\n }", "public boolean isMateReverseStrand(){\n\t\treturn testBitwiseFlag(32);\n\t}", "public void reverse() {\n/* 298 / throw new RuntimeException(\"Stub!\");\n/ / }", "public boolean isRightToLeft() {\n/ 493 / throw new RuntimeException(\"Stub!\");\n/ / }", "public boolean isReverseStrand(){\n\t\treturn testBitwiseFlag(16);\n\t}", "public abstract boolean teReproduces();", "abstract protected void revert();", "public boolean isNeedMirrorSelfie() {\n return true;\n }", "public void reverse() {\n throw new UnsupportedOperationException();\n }", "boolean isBidirPredicted()\n {\n return ((mbType & FORWARD)!=0) && ((mbType & BACKWARD)!=0);\n }", "@Test\n public void testEdgeReverse() {\n Edge<Integer, String> target = new Edge<>(1, 2, \"hello\");\n Edge<Integer, String> reverse = target.reverse();\n assertNotNull(reverse);\n assertEquals(Integer.valueOf(2), reverse.getFrom());\n assertEquals(Integer.valueOf(1), reverse.getTo());\n }", "public boolean isInverted() {\n/ 59 / return ((getData() & 0x8) != 0);\n/ / }", "@Test\n\tpublic void checkReverseString()\n\n\t{\n\t\tassertEquals(\"nitin si a doog yob \",test.testReverseString(\"nitin is a good boy\"));\n\t\t\n\t}", "@Test\n public void testRequireOnFalseConditionOnInternalCondition() {\n Address redirectContract = deployRedirectContract();\n TransactionResult result = callRedirectContract(redirectContract, false);\n\n // If internal call was not SUCCESS then redirect gets a REVERT as well.\n assertTrue(result.transactionStatus.isReverted());\n }", "public boolean canSeekBackwards() {\n/ 131 / return true;\n/ / }", "public boolean getReverse() {\r\n return Reverse;\r\n }", "public boolean getReverse() {\r\n return Reverse;\r\n }", "public void setReverse(Boolean newValue);", "public void setReverse(Boolean newValue);", "void reverse();", "void reverse();", "public abstract boolean testRightmostBit();", "boolean isForwardPredicted()\n {\n return ((mbType & FORWARD) != 0);\n }", "@Test\n public void testReverse() {\n System.out.println(\"reverse\");\n al.add(1);\n al.add(2);\n al.add(3);\n ArrayList<Integer> rl = new ArrayList<>();\n rl.add(3);\n rl.add(2);\n rl.add(1);\n al.reverse();\n assertEquals(rl.get(0), al.get(0));\n assertEquals(rl.get(1), al.get(1));\n assertEquals(rl.get(2), al.get(2));\n }", "@Test\n\tpublic void redoTask_invalidState(){\n\t\tRedoCommand command = new RedoCommand();\n\t\tcommand.setData(model);\n\t\tCommandResult result = command.execute();\n\t\tString feedback = result.feedbackToUser;\n\t\tassertTrue(feedback.equals(RedoCommand.MESSAGE_REDO_INVALID_STATE));\n\t}", "@Test\n public void testSolution() {\n assertArrayEquals(new int[]{3,2,1} , new Task().reverse3( new int[]{1, 2, 3}));\n assertArrayEquals(new int[]{5, 11, 9} , new Task().reverse3( new int[]{9, 11, 5}));\n assertArrayEquals(new int[]{7, 0, 0} , new Task().reverse3( new int[]{0, 0, 7}));\n assertArrayEquals(new int[]{2, 1, 2} , new Task().reverse3( new int[]{2, 1, 2}));\n assertArrayEquals(new int[]{1, 2, 1} , new Task().reverse3( new int[]{1, 2, 1}));\n assertArrayEquals(new int[]{2, 11, 3} , new Task().reverse3( new int[]{3, 11, 2}));\n assertArrayEquals(new int[]{7, 2, 3} , new Task().reverse3( new int[]{3, 2, 7}));\n\n }", "@Test\n public void revertBackTest() {\n stack.revertBack(stack2);\n assertEquals(stack2.toString(), stack.toString());\n\n ResourceStack stack3 = new ResourceStack(99,99,99,99);\n stack2.revertBack(stack3);\n assertEquals(stack3.toString(), stack2.toString());\n }", "public boolean canMirror() {\n\t\tif (mirrorTime == true) {\n\t\t\tmirrorTime = false;\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}", "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public Reversal() {\n\t\tsuper();\n\t}", "public boolean isInvertible() {\r\n\t\t// If the\r\n\t\t// determinant is near enough to zero then inverse transform operations\r\n\t\t// might not carry enough precision to produce meaningful results. so we\r\n\t\t// are using EPSILON\r\n\t\treturn (Math.abs(getDeterminant()) > EPSILON);\r\n\t}", "public boolean isInversed() {\n return isinv != null && isinv.booleanValue();\n }", "@Override\n\tpublic boolean isBackable() {\n\t\treturn false;\n\t}", "@Test\n public void testRecursionsFailure() throws Exception {\n assertTrue(doRecursions(false));\n }", "@Test\n public void testStationaryDistributionRevQuick()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.stationaryDistributionRevQuick(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testReverseRow(){\n ROW.getReverseRow(ROW.getIndex());\n }", "public boolean isRtlMirroring() {\n return getElement().isRtlMirroring();\n }", "public boolean testPalindromicity(String s) {\n s = s.replaceAll(\"[^a-zA-Z]\", \"\").toLowerCase();\n char[] sArr = s.toCharArray();\n\n int i=0;\n while (i < sArr.length-1-i) {\n if (sArr[i] != sArr[sArr.length-1-i])\n return false;\n i++;\n }\n return true;\n }", "@Override\n\t\tpublic boolean wasRetried()\n\t\t{\n\t\t\treturn false;\n\t\t}", "void reverseDirection();", "protected boolean getMustReverseCoordinates(int faceId, int prevEdgeId, int curEdgeId,\n VPFPrimitiveData.PrimitiveInfo[] edgeInfo)\n {\n\n Orientation o = this.getOrientation(faceId, curEdgeId, edgeInfo);\n if (o == null)\n {\n return false;\n }\n\n switch (o)\n {\n case LEFT:\n return true;\n case RIGHT:\n return false;\n case LEFT_AND_RIGHT:\n return (prevEdgeId > 0) && this.auxiliaryMustReverseCoordinates(prevEdgeId, curEdgeId, edgeInfo);\n default:\n return false;\n }\n }", "@Test\n public void reverseArray () {\n\n int[] input = {-2,5,-1,7,-3};\n int[] output = {-3,7,-1,5,-2};\n assertArrayEquals(output, Computation.reversal(input));\n\n }", "public boolean solve(){\n\t\t//Solve the puzzle using backtrack method\n\t\treturn solve(0,0);\n\t}", "@org.junit.Test\n\tpublic void testingStringReverse() {\n\t\tString result=object.reverseString(\"Game of Thrones\");\n\t\tassertEquals(\"senorhT fo emaG\",result );\n\t}", "public void setReverse(boolean reverse) {\n\t\t_reverse = reverse;\n\t}", "public void mirror() {\n this.mirrored = !this.mirrored;\n }", "protected void assertBackToState() {\n\t\tassertTrue(recorder.recorded(EC.TLC_BACK_TO_STATE));\n\t\tfinal List<Object> loop = recorder.getRecords(EC.TLC_BACK_TO_STATE);\n\t\tassertTrue(loop.size() > 0);\n\t}", "@JSProperty(\"reversed\")\n boolean getReversed();", "@LargeTest\n public void testVignetteRelaxed() {\n TestAction ta = new TestAction(TestName.VIGNETTE_RELAXED);\n runTest(ta, TestName.VIGNETTE_RELAXED.name());\n }", "@Test\n\tvoid testReverseOnlyLetters() {\n\t\tassertEquals(\"dc-ba\", new ReverseOnlyLetters().reverseOnlyLetters(\"ab-cd\"));\n\t\tassertEquals(\"j-Ih-gfE-dCba\", new ReverseOnlyLetters().reverseOnlyLetters(\"a-bC-dEf-ghIj\"));\n\t\tassertEquals(\"Qedo1ct-eeLg=ntse-T!\", new ReverseOnlyLetters().reverseOnlyLetters(\"Test1ng-Leet=code-Q!\"));\n\t\tassertEquals(\"e\", new ReverseOnlyLetters().reverseOnlyLetters(\"e\"));\n\t\tassertEquals(\"\", new ReverseOnlyLetters().reverseOnlyLetters(\"\"));\n\t\tassertEquals(\"-\", new ReverseOnlyLetters().reverseOnlyLetters(\"-\"));\n\t}", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "boolean isTransitive();", "public void setReverse(boolean reverse) {\n this.repeat = !reverse;\n }", "@Override\n public void verifyDeterministic() throws NonDeterministicException {\n }", "@Test\n\tpublic void testHasUnsavedChangesModifiedFileRevert() throws Exception {\n\t\tIRodinFile rodinFile = createRodinFile(\"P/x.test\");\n\t\tRodinTestRoot root = (RodinTestRoot) rodinFile.getRoot();\n\t\tcreateNEPositive(root, \"foo\", null);\n\t\trodinFile.makeConsistent(null);\n\t\tassertUnsavedChanges(rodinFile, false);\n\t}", "public abstract boolean deterministic () ;", "void checkReconstructible() throws InvalidObjectException {\n // subclasses can override\n }", "@Test\n public void testNegativeM() {\n assertEquals(-1, PiGenerator.powerMod(2, 2, -1));\n }", "public boolean isRightSideInverted() {\n return rightSideMultiplier == -1.0;\n }", "@Test\n public void reverseComplement() {\n ReverseComplementor r = new ReverseComplementor();\n String x = r.reverseComplement(\"AATGATACGGCGACCACCGAGATCTACACTCTTTCCCTACACGACGCTCTTCCGATCT\");\n assertEquals(\"AGATCGGAAGAGCGTCGTGTAGGGAAAGAGTGTAGATCTCGGTGGTCGCCGTATCATT\", x);\n }", "public boolean reproducirse() {\n r = new Random();\r\n return Float.compare(r.nextFloat(), probReproducirse) <= 0;\r\n }", "public boolean mv() {\n return false;\n }", "@Test\n\tpublic void testTCanMoveRight() {\n\t\ttank.AbilityToMoveRight();\n\t\tassertEquals(true, tank.getRight());\n\t}", "@Test\n\tpublic void testBooleanToString() {\n\n\t\t// forwards for yes and no\n\t\tAssert.assertEquals(converter.convertReverse(false), \"No\");\n\t\tAssert.assertEquals(converter.convertReverse(true), \"Yes\");\n\n\t}", "public boolean isReifiable() {\n ASTNode$State state = state();\n try { return false; }\n finally {\n }\n }", "void reverseTurnOrder() {\n turnOrder = -1;\n }", "private void assertReflexive(UMLMessageArgument msgArg) throws Exception\r\n\t{\r\n\t\tif(msgArg!=null)\r\n\t\t\tassertTrue(msgArg.equals(msgArg));\r\n\t}", "private boolean isTest() {\n \t\treturn false;\n\t\t// return !index.isLeft();\n\t}", "@Test\n\tpublic void testIsConsistentModifiedFileRevert() throws Exception {\n\t\tIRodinFile rodinFile = createRodinFile(\"P/x.test\");\n\t\tRodinTestRoot root = (RodinTestRoot) rodinFile.getRoot();\n\t\tcreateNEPositive(root, \"foo\", null);\n\t\trodinFile.makeConsistent(null);\n\t\tassertTrue(\"reverted file should be consistent\", \n\t\t\t\trodinFile.isConsistent());\n\t}" ]	[ "0.803656", "0.80197793", "0.7040556", "0.6713235", "0.63356674", "0.6326099", "0.62988925", "0.6145196", "0.6075537", "0.6065657", "0.591015", "0.5870669", "0.5859328", "0.58427614", "0.5792223", "0.5761348", "0.5708449", "0.57024974", "0.5669849", "0.561468", "0.55887735", "0.555709", "0.5545971", "0.5542861", "0.55100065", "0.5498889", "0.54933184", "0.5472229", "0.5467151", "0.5458205", "0.5445828", "0.54273075", "0.5424184", "0.542138", "0.54162157", "0.538966", "0.5357771", "0.53360707", "0.531594", "0.53133273", "0.53036153", "0.52925265", "0.5281056", "0.52782786", "0.52748686", "0.5248928", "0.5237626", "0.5237626", "0.5235469", "0.5235469", "0.5218907", "0.5218907", "0.52079403", "0.51880693", "0.5166723", "0.51429564", "0.51350653", "0.5119473", "0.5114414", "0.5100181", "0.5096431", "0.50885165", "0.50784206", "0.5074478", "0.5063915", "0.50622076", "0.505865", "0.5054334", "0.50532037", "0.50447303", "0.50281215", "0.50265706", "0.50258464", "0.50218004", "0.5016484", "0.5016475", "0.50105727", "0.4989526", "0.498703", "0.49853492", "0.4984412", "0.49799734", "0.49610326", "0.4960058", "0.4959364", "0.49568224", "0.49520108", "0.49353993", "0.49262297", "0.4925283", "0.4916432", "0.49139953", "0.49094942", "0.49092793", "0.49051002", "0.49025077", "0.49018824", "0.48921788", "0.4876772", "0.48758227" ]	0.697422	3
Test of estimateT method, of class MarkovModelUtilities.	@Test public void testEstimateT() { IDoubleArray counts = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.estimateT(counts); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testPerturbationExpectation()\n {\n IDoubleArray M = null;\n IDoubleArray pi0 = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.perturbationExpectation(M, pi0, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testStationaryDistribution()\n {\n try\n {\n IDoubleArray T = Doubles.create.fromFile(inputT1);\n IDoubleArray expResult = Doubles.create.fromFile(inputT1_pi); \n IDoubleArray pi = MarkovModel.util.stationaryDistribution(T);\n assertEqual(pi, expResult, 1e-5);\n }\n catch(IOException e)\n {\n \n e.printStackTrace();\n }\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "@Test\n public void testEstimateTrev_IDoubleArray_IDoubleArray()\n {\n IDoubleArray counts = null;\n IDoubleArray piFixed = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateTrev(counts, piFixed);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testEstimateTrev_IDoubleArray()\n {\n double[][] C = {\n {10,5,1},\n {1,7,4},\n {5,7,25}};\n double[][] Tref = {\n {0.625, 0.23689343769530435, 0.13810656230469573},\n {0.18414208307292756, 0.5833333333333334, 0.23252458359373912},\n {0.10244040548986129, 0.22188391883446298, 0.6756756756756757}};\n \n IDoubleArray counts = Doubles.create.array(C);\n IDoubleArray expResult = Doubles.create.array(Tref);\n IDoubleArray result = MarkovModel.util.estimateTrev(counts);\n DoubleArrayTest.assertEqual(result, expResult, 1e-4);\n // TODO review the generated test code and remove the default call to fail.\n }", "@Test\n public void testEstimateC_Iterable_int()\n {\n Iterable<IIntArray> trajs = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateC(trajs, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public double tTest(double m, double mu, double v, double n) throws MaxCountExceededException, MathIllegalArgumentException {\r\n return 2.0d * new TDistribution((RandomGenerator) null, n - 1.0d).cumulativeProbability(-FastMath.abs(mo3937t(m, mu, v, n)));\r\n }", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testGetSetTemperaturaExteriorMinima() {\n System.out.println(\"getSetTemperaturaExteriorMinima\");\n double expResult = 10.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMinima(expResult);\n double result = instance.getTemperaturaExteriorMinima();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void testGetSetTemperaturaExterior() {\n System.out.println(\"getSetTemperaturaExterior\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExterior(expResult);\n double result = instance.getTemperaturaExterior();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test\n public void testLogLikelihood()\n {\n IDoubleArray T = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihood(T, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testGetSetTemperaturaExteriorMaxima() {\n System.out.println(\"getSetTemperaturaExteriorMaxima\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMaxima(expResult);\n double result = instance.getTemperaturaExteriorMaxima();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void testStationaryDistributionRevQuick()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.stationaryDistributionRevQuick(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public abstract int predict(double[] testingData);", "public int getEstimation(Tile<T> current, Tile<T> target);", "@Test\n public void testGetSetTemperaturaInterior() {\n System.out.println(\"getSetTemperaturaInterior\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaInterior(expResult);\n double result = instance.getTemperaturaInterior();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void testCalcProbTheta() throws Exception {\n\n double guessProb1 = ItemResponseTheory.calcProbTheta(c, lambda, theta1, alpha1);\n double guessProb2 = ItemResponseTheory.calcProbTheta(c, lambda, theta2, alpha1);\n double guessProb3 = ItemResponseTheory.calcProbTheta(c, lambda, theta3, alpha1);\n double guessProb4 = ItemResponseTheory.calcProbTheta(c, lambda, theta4, alpha1);\n double guessProb5 = ItemResponseTheory.calcProbTheta(c, lambda, theta5, alpha1);\n double guessProb6 = ItemResponseTheory.calcProbTheta(c, lambda, theta6, alpha1);\n double guessProb7 = ItemResponseTheory.calcProbTheta(c, lambda, theta7, alpha1);\n\n double ans1 = 0.2;\n double ans2 = 0.21;\n double ans3 = 0.23;\n double ans4 = 0.3;\n double ans5 = 0.47;\n double ans6 = 0.73;\n double ans7 = 0.9;\n\n double tolerance = 0.005;\n\n assertTrue(\"Prob(theta1)\", Math.abs(guessProb1 - ans1)< tolerance);\n assertTrue(\"Prob(theta2)\", Math.abs(guessProb2 - ans2) < tolerance);\n assertTrue(\"Prob(theta3)\", Math.abs(guessProb3 - ans3) < tolerance);\n assertTrue(\"Prob(theta4)\", Math.abs(guessProb4 - ans4) < tolerance);\n assertTrue(\"Prob(theta5)\", Math.abs(guessProb5 - ans5) < tolerance);\n assertTrue(\"Prob(theta6)\", Math.abs(guessProb6 - ans6) < tolerance);\n assertTrue(\"Prob(theta7)\", Math.abs(guessProb7 - ans7) < tolerance);\n\n }", "public String getEstimate() {\n\t\treturn estimate;\n\t}", "public boolean doEstimate(Node node, double[] result) {\r\n makeVector(node,tmpVector);\r\n try\r\n {\r\n double[] dist = classifier.distributionForInstance(testInstance);\r\n System.arraycopy(dist,0,result,0,dist.length);\r\n }\r\n catch(Exception e)\r\n {\r\n throw new RuntimeException(\"failed to estimate distribution for given node\",e);\r\n }\r\n return true;\r\n }", "@Test\n public void testEstimateCmilestoning_3args_1()\n {\n Iterable<IIntArray> trajs = null;\n Iterable<IIntArray> cores = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCmilestoning(trajs, cores, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test\n public void testGetTemperaturaInteriorAlvo() {\n System.out.println(\"getSetTemperaturaInteriorAlvo\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaInteriorAlvo(expResult);\n double result = instance.getTemperaturaInteriorAlvo();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void testMinExtremeCalcNewTheta() throws Exception{\n\n int c = 0;\n\n int mark2 = 0; // response\n\n double alpha1 = -1; // difficulty\n\n double lambda1 = 1.0; // discrimination\n\n Item item2 = new Item(c, theta5, alpha1, lambda1, mark2);\n\n List<Item> itemList = new ArrayList<>();\n itemList.add(item2); // ALL CORRECT ANSWERS\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n\n double newTheta = ItemResponseTheory.calcNewTheta( itemList, theta5 );\n\n assertEquals(\"test IRT ALGO\", -3.0,newTheta,0.1);\n }", "@Override\n\tpublic double muovi(double deltaT) {\n\t\treturn 0;\n\t}", "@Override\n public GetPositionEstimateResult getPositionEstimate(GetPositionEstimateRequest request) {\n request = beforeClientExecution(request);\n return executeGetPositionEstimate(request);\n }", "@Test\n public void testEstimateCmilestoning_3args_2()\n {\n IIntArray traj = null;\n Iterable<IIntArray> cores = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCmilestoning(traj, cores, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testEstimateCstepping_Iterable_int()\n {\n Iterable<IIntArray> trajs = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCstepping(trajs, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testApproximation() {\n int N = 100;\n Mesh mesh = new Mesh(equation.t0, equation.tN, N);\n Noise noise = new Noise(mesh, 10);\n\n // We will use SDG method to approximate with a polynomial degree of p = 4.\n int p = 4;\n SDG sdg = new SDG();\n ApproxGlobal approxGlobal = sdg.Solve(equation, noise, mesh, p);\n\n // For every element, we check that the approximation at the endpoint is within 10e-10\n // of the analytical solution.\n for(int i = 0; i < approxGlobal.localApproximations.length; i++){\n ApproxLocal local = approxGlobal.localApproximations[i];\n\n double totalNoise = noise.sumUntil(i);\n double t = mesh.elements[i].upperEndpoint;\n\n double expected = this.equation.exactSolution(t, totalNoise);\n double actual = local.terminal();\n\n assertEquals(expected, actual, 10e-10);\n }\n }", "@Override\n public void estimateThetas() {\n HashMap<Integer, HashMap<Integer, Double>> newThetaMap = new HashMap<Integer, HashMap<Integer, Double>>();\n HashMap<Integer, HashMap<String, Double>> newThetaMapString = new HashMap<Integer, HashMap<String, Double>>();\n\n // For each city\n ArrayList<HashMap<Integer, HashSet<Integer>>> customersAtTableList = samplerState.getCustomersAtTableList();\n for (int cityId=0; cityId<customersAtTableList.size(); cityId++) {\n // For each table id\n Set<Integer> tableIds = customersAtTableList.get(cityId).keySet();\n for (Integer tableId : tableIds) {\n // get all the observations for this table and add them to the counts\n ArrayList<Double> tableObservations = samplerState.getObservationsFromTable(tableId, cityId);\n\n // Compute the unique tableId used in the thetaMaps\n Integer uniqueTableId = getUniqueTableId(cityId, tableId);\n\n // Initialize the tables's theta vector\n HashMap<Integer, Double> theta = new HashMap<Integer, Double>(); \n HashMap<String, Double> thetaString = new HashMap<String, Double>(); \n\n // add the dirichlet parameters\n ArrayList<Double> dirichletParam = hyperParameters.getDirichletParam();\n for (int j=0; j<dirichletParam.size(); j++) {\n theta.put(j, dirichletParam.get(j));\n thetaString.put(vocabulary.get(j), dirichletParam.get(j));\n }\n\n if (tableObservations != null && tableObservations.size() > 0) {\n for (Double obs : tableObservations) {\n Integer observation = obs.intValue() - 1;\n String observationString = vocabulary.get(observation);\n double currentObservationCount = theta.get(observation);\n theta.put(observation, currentObservationCount + 1);\n thetaString.put(observationString, currentObservationCount + 1); \n }\n }\n\n // get the normalizing constant\n double norm = 0.0;\n for (int j=0; j<hyperParameters.getVocabSize(); j++) {\n norm += theta.get(j);\n }\n\n // divide by the normalizing constant\n for (int j=0; j<hyperParameters.getVocabSize(); j++) {\n String obsStringJ = vocabulary.get(j);\n double thetaJ = theta.get(j) / norm;\n theta.put(j, thetaJ);\n thetaString.put(obsStringJ, thetaJ);\n } \n\n newThetaMap.put(uniqueTableId, theta);\n newThetaMapString.put(uniqueTableId, thetaString);\n }\n }\n\n thetaMap = newThetaMap;\n thetaMapString = newThetaMapString;\n }", "@Test\r\n\tpublic void calculMetricInferiorTeacherWithLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(10f, 1f), 12f, 15f), new Float(1));\r\n\t}", "public double tTest(double m1, double m2, double v1, double v2, double n1, double n2) throws MaxCountExceededException, NotStrictlyPositiveException {\r\n return 2.0d * new TDistribution((RandomGenerator) null, mo3926df(v1, v2, n1, n2)).cumulativeProbability(-FastMath.abs(mo3938t(m1, m2, v1, v2, n1, n2)));\r\n }", "@Test\n\tvoid testCalculateMarkTillSemesterSuccess3() {\n\t\n\t\tString semesterName = \"20193\";\n\t\t\n\t\tUser user = userService.findByUsername(\"B17DCCN123\");\n\t\tStudent student = user.getStudent();\n\t\tList<StudentResult> resultsTillSemester = resultService.findResultTillSemester(student.getId(),\n\t\t\t\tsemesterName);\n\t\t\n\t\tString tktMark = \"\";\n\t\t\n\t\tfor (StudentResult result : resultsTillSemester) {\n\t\t\tSubject subject = result.getStudentRegister().getCourse().getSubject();\n\t\t\tif (subject.getName().equals(\"Toán kinh tế\")) {\n\t\t\t\ttktMark = result.getMarkToChar();\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\t\n\t\tList<Object> listGpaResultsTillNow = MarkUtility.calculateMarkTillSemester(resultsTillSemester);\n\t\tint passedCreditsTillNow = (int) listGpaResultsTillNow.get(0);\n\t\tfloat gpaTillNow = (float) listGpaResultsTillNow.get(1);\n\t\t\n\t\tDecimalFormat df = new DecimalFormat(\"#.##\");\n\t\t\n\t\tassertTrue(\n\t\t\t\ttktMark.equals(\"C\") && \n\t\t\t\tpassedCreditsTillNow == 18 && \n\t\t\t\tdf.format(gpaTillNow).equals(\"3.19\")\n\t\t\t\t);\n\t}", "@Test\n public void testMaxExtremeCalcNewTheta() throws Exception{\n\n int c = 0;\n\n int mark1 = 1; // response\n\n double alpha1 = -1; // difficulty\n\n double lambda1 = 1.0; // discrimination\n\n\n\n Item item1 = new Item(c, theta5, alpha1, lambda1, mark1);\n\n List<Item> itemList = new ArrayList<>();\n itemList.add(item1); // ALL CORRECT ANSWERS\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n\n double newTheta = ItemResponseTheory.calcNewTheta( itemList, theta5 );\n\n assertEquals(\"test ALL CORRECT\", 3.0,newTheta,0.1);\n }", "@Test\n public void testHasTemperaturaVariation() {\n System.out.println(\"hasTemperaturaVariation\");\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n boolean expResult = true;\n instance.setHasTemperaturaVariation(expResult);\n boolean result = instance.hasTemperaturaVariation();\n assertEquals(expResult, result);\n }", "@Test\n public void testCalcNewTheta() throws Exception{\n\n int c = 0;\n\n int mark1 = 1; // response\n int mark2 = 0;\n int mark3 = 1;\n\n double alpha1 = -1; // difficulty\n double alpha2 = 0;\n double alpha3 = 1;\n\n double lambda1 = 1.0; // discrimination\n double lambda2 = 1.2;\n double lambda3 = 0.8;\n\n double tolerance = 0.0005;\n double answerTheta = 0.3249;\n\n double originalTheta = 1;\n\n\n Item item1 = new Item(c, theta5, alpha1, lambda1, mark1);\n Item item2 = new Item(c, theta5, alpha2, lambda2, mark2);\n Item item3 = new Item(c, theta5, alpha3, lambda3, mark3);\n\n List<Item> itemList = new ArrayList<>();\n itemList.add(item1);\n itemList.add(item2);\n itemList.add(item3);\n\n\n double newTheta = ItemResponseTheory.calcNewTheta( itemList, theta5 );\n int x = 5;\n\n assertTrue(\"calcTheta\", Math.abs(newTheta - answerTheta)< tolerance);\n }", "@Test\n public void testCalcMedAmount() {\n \n //Test case 1\n \n System.out.println(\"calcMedAmount Test Case 1 - Dose is correct\");\n \n //Input Values for Test Case 1\n \n double weightInPounds = 100;\n double numberOfPills = 1;\n \n AntidoteControl instance = new AntidoteControl();\n \n double expResult = 227;\n double result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 2\n \n System.out.println(\"calcMedAmount Test Case 2 Invalid weight\");\n \n //Input Values for Test Case 2\n \n weightInPounds = 0;\n numberOfPills = 1;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = -1;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 3\n \n System.out.println(\"calcMedAmount Test Case 3 Underdose\");\n \n //Input Values for Test Case 3\n \n weightInPounds = 10001;\n numberOfPills = 0;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = -2;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 4\n \n System.out.println(\"calcMedAmount Test Case 4 Overdose\");\n \n //Input Values for Test Case 4\n \n weightInPounds = 100;\n numberOfPills = 4;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = 227;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "abstract int estimationParameter1();", "@Test\n\tvoid testCalculateMarkTillSemesterSuccess2() {\n\t\t\n\t\tString semesterName = \"20193\";\n\t\t\n\t\tUser user = userService.findByUsername(\"B16DCCN168\");\n\t\tStudent student = user.getStudent();\n\t\tList<StudentResult> resultsTillSemester = resultService.findResultTillSemester(student.getId(),\n\t\t\t\tsemesterName);\n\t\t\n\t\tString mmtMark = \"\", tthcmMark = \"\";\n\t\t\n\t\tfor (StudentResult result : resultsTillSemester) {\n\t\t\tSubject subject = result.getStudentRegister().getCourse().getSubject();\n\t\t\tif (subject.getName().equals(\"Mạng máy tính\")) {\n\t\t\t\tmmtMark = result.getMarkToChar();\n\t\t\t}\n\t\t\t\n\t\t\tif (subject.getName().equals(\"Tư tưởng Hồ Chí Minh\")) {\n\t\t\t\ttthcmMark = result.getMarkToChar();\n\t\t\t}\n\t\t}\n\t\t\n\t\tList<Object> listGpaResultsTillNow = MarkUtility.calculateMarkTillSemester(resultsTillSemester);\n\t\tint passedCreditsTillNow = (int) listGpaResultsTillNow.get(0);\n\t\tfloat gpaTillNow = (float) listGpaResultsTillNow.get(1);\n\t\t\n\t\tDecimalFormat df = new DecimalFormat(\"#.##\");\n\t\t\n\t\tassertTrue(\n\t\t\t\tmmtMark.equals(\"B\") &&\n\t\t\t\ttthcmMark.equals(\"A\") &&\n\t\t\t\tpassedCreditsTillNow == 15 &&\n\t\t\t\tdf.format(gpaTillNow).equals(\"3.64\")\n\t\t\t\t);\n\t}", "public abstract MetricTransformation2D estimate() throws LockedException,\n NotReadyException, RobustEstimatorException;", "@Test(timeout = 4000)\n public void test156() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(50, 50);\n resultMatrixLatex0.m_ShowAverage = false;\n resultMatrixLatex0.m_ShowStdDev = true;\n boolean[] booleanArray0 = new boolean[5];\n booleanArray0[0] = false;\n booleanArray0[1] = false;\n resultMatrixLatex0.m_StdDevWidth = (-3085);\n booleanArray0[2] = true;\n resultMatrixLatex0.setPrintColNames(true);\n booleanArray0[3] = true;\n resultMatrixLatex0.setStdDevWidth((-1));\n booleanArray0[4] = true;\n resultMatrixLatex0.m_RowHidden = booleanArray0;\n resultMatrixLatex0.getDefaultEnumerateColNames();\n resultMatrixLatex0.colNameWidthTipText();\n resultMatrixLatex0.setPrintRowNames(false);\n resultMatrixLatex0.removeFilterName(\"\");\n resultMatrixLatex0.padString(\"\", 0, false);\n ResultMatrixSignificance resultMatrixSignificance0 = null;\n try {\n resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 5\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n\tpublic void testTGetY() {\n\t\tassertEquals(0, tank.getY());\n\t}", "@Test\n\tpublic void testRepeatibleDynamics() throws IOException, PropertiesException {\n\n\t\t\n\t\t// INSTANTIATE benchmark \n\t\tProperties props = PropertiesUtil.setpointProperties(new File (\"src/main/resources/sim.properties\"));\n\t\tSetPointGenerator lg = new SetPointGenerator (props);\n\t\tList<ExternalDriver> externalDrivers = new ArrayList<ExternalDriver>();\n\t\texternalDrivers.add(lg);\n\t\tIndustrialBenchmarkDynamics d = new IndustrialBenchmarkDynamics (props, externalDrivers);\n\t\tRandom actionRand = new Random(System.currentTimeMillis());\n \n // 1) do 100000 random steps, in order to initialize dynamics\n\t\tfinal ActionDelta action = new ActionDelta(0.001f, 0.001f, 0.001f); \n\t\tfor (int i=0; i<INIT_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t}\n\t\t\n\t\t// 2) memorize current observable state and current markov state\n\t\tfinal ObservableState os = d.getState();\n\t\tfinal DataVector ms = d.getInternalMarkovState();\n\t\tSystem.out.println (\"init o-state: \" + os.toString());\n\t\tSystem.out.println (\"init m-state: \" + ms.toString());\n\t\t\n\t\t\n\t\t// 3) perform test trajectory and memorize states\n\t\tactionRand.setSeed(ACTION_SEED);\n\t\tDataVector oStates[] = new DataVector[MEM_STEPS];\n\t\tDataVector mStates[] = new DataVector[MEM_STEPS];\n\t\t\t\t\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t\toStates[i] = d.getState();\n\t\t\tmStates[i] = d.getInternalMarkovState();\n\t\t}\n\t\t\n\t\t// 4) reset dynamics & parameters and internal markov state\n\t\td.reset();\n\t\td.setInternalMarkovState(ms);\n\t\t\n\t\t// 5) reperform test and check if values are consistent\n\t\tactionRand.setSeed(ACTION_SEED); // reproduce action sequence\n\t\tDataVector oState = null;\n\t\tDataVector mState = null;\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\t\n\t\t\td.step(action);\n\t\t\toState = d.getState();\n\t\t\tmState = d.getInternalMarkovState();\n\t\t\t\n\t\t\t// check observable state\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.SetPoint), oState.getValue(ObservableStateDescription.SetPoint), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Fatigue), oState.getValue(ObservableStateDescription.Fatigue), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Consumption), oState.getValue(ObservableStateDescription.Consumption), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.RewardTotal), oState.getValue(ObservableStateDescription.RewardTotal), 0.0001);\n\n\t\t\t// \n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.CurrentOperationalCost), mState.getValue(MarkovianStateDescription.CurrentOperationalCost), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent2), mState.getValue(MarkovianStateDescription.FatigueLatent2), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent1), mState.getValue(MarkovianStateDescription.FatigueLatent1), 0.0001);\n\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionGainBeta), mState.getValue(MarkovianStateDescription.EffectiveActionGainBeta), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), mState.getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveShift), mState.getValue(MarkovianStateDescription.EffectiveShift), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.MisCalibration), mState.getValue(MarkovianStateDescription.MisCalibration), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), mState.getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardFatigue), mState.getValue(MarkovianStateDescription.RewardFatigue), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardConsumption), mState.getValue(MarkovianStateDescription.RewardConsumption), 0.0001);\n\t\t}\n\t\t\n\t\tSystem.out.println (\"last o-state 1st trajectory: \" + oStates[oStates.length-1]);\n\t\tSystem.out.println (\"last o-state 2nd trajectory: \" + oState);\n\t\t\n\t\tSystem.out.println (\"last m-state 1st trajectory: \" + mStates[oStates.length-1]);\n\t\tSystem.out.println (\"last m-state 2nd trajectory: \" + mState);\n\t}", "@Test\r\n\tpublic void calculMetricInferiorTeacherBetterScoreButNoLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(25f, 1f), 12f, 13f), new Float(0));\r\n\t}", "@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }", "@Test\n public void testEstimateC_IIntArray_int()\n {\n IIntArray traj = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateC(traj, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.autocorrelation(M, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void evaluate(String sampleFile, String featureDefFile, int nFold, float tvs, String modelDir, String modelFile) {\n/ 854 / List<List<RankList>> trainingData = new ArrayList<>();\n/ 855 / List<List<RankList>> validationData = new ArrayList<>();\n/ 856 / List<List<RankList>> testData = new ArrayList<>();\n/ / \n/ / \n/ / \n/ 860 / List<RankList> samples = readInput(sampleFile);\n/ / \n/ / \n/ 863 / int[] features = readFeature(featureDefFile);\n/ 864 / if (features == null) {\n/ 865 / features = FeatureManager.getFeatureFromSampleVector(samples);\n/ / }\n/ 867 / FeatureManager.prepareCV(samples, nFold, tvs, trainingData, validationData, testData);\n/ / \n/ / \n/ 870 / if (normalize)\n/ / {\n/ 872 / for (int j = 0; j < nFold; j++) {\n/ / \n/ 874 / normalizeAll(trainingData, features);\n/ 875 / normalizeAll(validationData, features);\n/ 876 / normalizeAll(testData, features);\n/ / } \n/ / }\n/ / \n/ 880 / Ranker ranker = null;\n/ 881 / double scoreOnTrain = 0.0D;\n/ 882 / double scoreOnTest = 0.0D;\n/ 883 / double totalScoreOnTest = 0.0D;\n/ 884 / int totalTestSampleSize = 0;\n/ / \n/ 886 / double[][] scores = new double[nFold][]; int i;\n/ 887 / for (i = 0; i < nFold; i++) {\n/ 888 / (new double[2])[0] = 0.0D; (new double[2])[1] = 0.0D; scores[i] = new double[2];\n/ 889 / } for (i = 0; i < nFold; i++) {\n/ / \n/ 891 / List<RankList> train = trainingData.get(i);\n/ 892 / List<RankList> vali = null;\n/ 893 / if (tvs > 0.0F)\n/ 894 / vali = validationData.get(i); \n/ 895 / List<RankList> test = testData.get(i);\n/ / \n/ 897 / RankerTrainer trainer = new RankerTrainer();\n/ 898 / ranker = trainer.train(this.type, train, vali, features, this.trainScorer);\n/ / \n/ 900 / double s2 = evaluate(ranker, test);\n/ 901 / scoreOnTrain += ranker.getScoreOnTrainingData();\n/ 902 / scoreOnTest += s2;\n/ 903 / totalScoreOnTest += s2 test.size();\n/* 904 / totalTestSampleSize += test.size();\n/ / \n/ / \n/ 907 / scores[i][0] = ranker.getScoreOnTrainingData();\n/ 908 / scores[i][1] = s2;\n/ / \n/ / \n/ 911 / if (!modelDir.isEmpty()) {\n/ / \n/ 913 / ranker.save(FileUtils.makePathStandard(modelDir) + \"f\" + (i + 1) + \".\" + modelFile);\n/ 914 / System.out.println(\"Fold-\" + (i + 1) + \" model saved to: \" + modelFile);\n/ / } \n/ / } \n/ 917 / System.out.println(\"Summary:\");\n/ 918 / System.out.println(this.testScorer.name() + \"\\t\| Train\\t\| Test\");\n/ 919 / System.out.println(\"----------------------------------\");\n/ 920 / for (i = 0; i < nFold; i++)\n/ 921 / System.out.println(\"Fold \" + (i + 1) + \"\\t\| \" + SimpleMath.round(scores[i][0], 4) + \"\\t\| \" + SimpleMath.round(scores[i][1], 4) + \"\\t\"); \n/ 922 / System.out.println(\"----------------------------------\");\n/ 923 / System.out.println(\"Avg.\\t\| \" + SimpleMath.round(scoreOnTrain / nFold, 4) + \"\\t\| \" + SimpleMath.round(scoreOnTest / nFold, 4) + \"\\t\");\n/ 924 / System.out.println(\"----------------------------------\");\n/ 925 / System.out.println(\"Total\\t\| \\t\\t\| \" + SimpleMath.round(totalScoreOnTest / totalTestSampleSize, 4) + \"\\t\");\n/ / }", "@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test86() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n String string0 = naiveBayesMultinomialText0.stemmerTipText();\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\n assertFalse(naiveBayesMultinomialText0.getNormalizeDocLength());\n assertFalse(naiveBayesMultinomialText0.getUseWordFrequencies());\n assertEquals(0, naiveBayesMultinomialText0.getPeriodicPruning());\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\n assertEquals(\"The stemming algorithm to use on the words.\", string0);\n }", "@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test\n public void testTimescales_5args()\n {\n Iterable<IIntArray> dtraj = null;\n ICountMatrixEstimator Cest = null;\n ITransitionMatrixEstimator Test = null;\n int ntimescales = 0;\n IIntArray lagtimes = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.timescales(dtraj, Cest, Test, ntimescales, lagtimes);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void predict(String testFileName) throws IOException, InvalidInputException{\r\n BufferedReader reader = new BufferedReader(new FileReader(testFileName));\r\n if(reader.toString().length() == 0){\r\n throw new InvalidInputException(\"Invalid input file! File is empty!\");\r\n }\r\n\r\n int index = 0;\r\n Vector<Double> actuals = new Vector<>();\r\n Vector<Double> predicts = new Vector<>();\r\n while(true) {\r\n String line = reader.readLine();\r\n if (line == null)\r\n break;\r\n\r\n StringTokenizer st = new StringTokenizer(line, \" \\t\\n\\r\\f:\");\r\n\r\n double target = Utils.toDouble(st.nextToken());\r\n int m = st.countTokens() / 2;\r\n svm_node[] x = new svm_node[m];\r\n for (int j = 0; j < m; j++) {\r\n x[j] = new svm_node();\r\n x[j].index = Utils.toInt(st.nextToken());\r\n x[j].value = Utils.toDouble(st.nextToken());\r\n }\r\n double v;\r\n v = svm.svm_predict(this.model, x);\r\n\r\n actuals.add(index, target);\r\n predicts.add(index, v);\r\n\r\n System.out.println(\"[\" + index + \"] Prediction:\" + v + \", actual:\" + target);\r\n index += 1;\r\n }\r\n Metrices me = new Metrices(Utils.toDoubleArray(predicts), Utils.toDoubleArray(actuals), predicts.size());\r\n System.out.println(\"RMSE: \" + me.getRMSE());\r\n }", "@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test121() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.setSignificanceWidth(0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\n }", "@Test\n\tpublic void testGetTariefBehandeling(){\n\t\tdouble expResult = 89.50;\n\t\tassertTrue(expResult == instance.getTariefBehandeling());\n\t}", "@Test(timeout = 4000)\n public void test087() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n public void test03() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[19];\n evaluation0.updateMargins(doubleArray0, 0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "public void emissionProbabilities() {\r\n /\r\n Word and Tag List.\r\n /\r\n final TreeSet<String> words = new TreeSet(), tags = new TreeSet();\r\n Iterator<Kata> iterSatu = MarkovCore.LIST_KATA.iterator();\r\n while (iterSatu.hasNext()) {\r\n final Kata kata = iterSatu.next();\r\n words.add(kata.getKata());\r\n tags.add(kata.getTag());\r\n }\r\n System.out.println(\"Jumlah Kata: \" + words.size());\r\n System.out.println(\"Jumlah Tag: \" + tags.size());\r\n System.out.println();\r\n //<editor-fold defaultstate=\"collapsed\" desc=\"Emissions Calculation\">\r\n /\r\n Perhitungan Emisi.\r\n /\r\n Iterator<String> iterDua = words.iterator();\r\n while (iterDua.hasNext()) {\r\n final String kata = iterDua.next();\r\n Iterator<String> iterTiga = tags.iterator();\r\n while (iterTiga.hasNext()) {\r\n final StrBuilder strBuilder = new StrBuilder(10);\r\n final String tag = iterTiga.next();\r\n strBuilder.append(\"P(\");\r\n strBuilder.append(kata + \"\|\");\r\n strBuilder.append(tag + \") = \");\r\n final Emissions emissions = new Emissions(kata, tag, strBuilder.toString());\r\n emissionses.add(emissions);\r\n }\r\n }\r\n\r\n final HashMap<String, Double> penyebut = new HashMap();\r\n Iterator<Kata> iterEmpat = MarkovCore.LIST_KATA.iterator();\r\n while (iterEmpat.hasNext()) {\r\n final Kata kata = iterEmpat.next();\r\n if (penyebut.get(kata.getTag()) == null) {\r\n penyebut.put(kata.getTag(), 1.0);\r\n } else {\r\n penyebut.put(kata.getTag(), penyebut.get(kata.getTag()) + 1);\r\n }\r\n }\r\n\r\n Iterator<Emissions> iterTiga = emissionses.iterator();\r\n while (iterTiga.hasNext()) {\r\n final Emissions emissions = iterTiga.next();\r\n double pembilang = 0.0;\r\n Iterator<Kata> iterKata = MarkovCore.LIST_KATA.iterator();\r\n while (iterKata.hasNext()) {\r\n Kata kata = iterKata.next();\r\n if (StringUtils.equalsIgnoreCase(kata.getKata(), emissions.word) && StringUtils.equalsIgnoreCase(kata.getTag(), emissions.tag)) {\r\n pembilang++;\r\n }\r\n }\r\n\r\n /\r\n WARNING - Laplace Smoothing is Activated.\r\n /\r\n// emissions.setEmissionsProbability(pembilang + 1, penyebut.get(emissions.tag) + this.uniqueWords.size(), (pembilang + 1) / (penyebut.get(emissions.tag) + this.uniqueWords.size()));\r\n emissions.setEmissionsProbability(pembilang, penyebut.get(emissions.tag), pembilang / penyebut.get(emissions.tag));\r\n }\r\n//</editor-fold>\r\n\r\n// System.out.println(emissionses.size());\r\n Iterator<Emissions> emissionsIterator = emissionses.iterator();\r\n while (emissionsIterator.hasNext()) {\r\n final Emissions emissions = emissionsIterator.next();\r\n this.emissionsMap.put(new MultiKey(emissions.word, emissions.tag), emissions.emissionsProbability);\r\n// System.out.println(emissions);\r\n }\r\n// System.out.println(this.emissionsMap.size());\r\n }", "@Override\r\n public void ontTest( OntModel m ) throws Exception {\r\n Profile prof = m.getProfile();\r\n OntClass A = m.createClass( NS + \"A\" );\r\n Individual x = m.createIndividual( A );\r\n Individual y = m.createIndividual( A );\r\n Individual z = m.createIndividual( A );\r\n\r\n x.addSameAs( y );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n assertEquals( \"x should be the same as y\", y, x.getSameAs() );\r\n assertTrue( \"x should be the same as y\", x.isSameAs( y ) );\r\n\r\n x.addSameAs( z );\r\n assertEquals( \"Cardinality should be 2\", 2, x.getCardinality( prof.SAME_AS() ) );\r\n iteratorTest( x.listSameAs(), new Object[] {z,y} );\r\n\r\n x.setSameAs( z );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n assertEquals( \"x should be same indiv. as z\", z, x.getSameAs() );\r\n\r\n x.removeSameAs( y );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n x.removeSameAs( z );\r\n assertEquals( \"Cardinality should be 0\", 0, x.getCardinality( prof.SAME_AS() ) );\r\n }", "public double getT() {\r\n\t\treturn t;\t\r\n\t\t}", "public void propagate(double t0, double tf)\n\t{\n\t\tdouble[] temp = new double[6];\n\n\t\t// Determine step size\n\t\tdouble n = this.meanMotion();\n\t\tdouble period = this.period();\n\t\tdouble dt = period / steps;\n\t\tif ((t0 + dt) > tf) // check to see if we're going past tf\n\t\t{\n\t\t\tdt = tf - t0;\n\t\t}\n\n\t\t// determine initial E and M\n\t\tdouble sqrome2 = Math.sqrt(1.0 - this.e this.e);\n\t\tdouble cta = Math.cos(this.ta);\n\t\tdouble sta = Math.sin(this.ta);\n\t\tdouble sine0 = (sqrome2 * sta) / (1.0 + this.e * cta);\n\t\tdouble cose0 = (this.e + cta) / (1.0 + this.e * cta);\n\t\tdouble e0 = Math.atan2(sine0, cose0);\n\n\t\tdouble ma = e0 - this.e * Math.sin(e0);\n\n\t\t// determine sqrt(1+e/1-e)\n\n\t\t//double q = Math.sqrt((1.0 + this.e) / (1.0 - this.e));\n\n\t\t// initialize t\n\n\t\tdouble t = t0;\n\n\t\twhile (t < tf)\n\t\t{\n\t\t\tma = ma + n * dt;\n\t\t\tdouble ea = solveKepler(ma, this.e);\n\n\t\t\tdouble sinE = Math.sin(ea);\n\t\t\tdouble cosE = Math.cos(ea);\n\t\t\tdouble den = 1.0 - this.e * cosE;\n\n\t\t\tdouble sinv = (sqrome2 * sinE) / den;\n\t\t\tdouble cosv = (cosE - this.e) / den;\n\n\t\t\tthis.ta = Math.atan2(sinv, cosv);\n\t\t\tif (this.ta < 0.0)\n\t\t\t{\n\t\t\t\tthis.ta = this.ta + 2.0 * Constants.pi;\n\t\t\t}\n\n\t\t\tt = t + dt;\n\n\t\t\ttemp = this.randv();\n\t\t\tthis.rv = new VectorN(temp);\n\n\t\t\tif ((t + dt) > tf)\n\t\t\t{\n\t\t\t\tdt = tf - t;\n\t\t\t}\n\n\t\t}\n\t}", "@Override\n public int[] test(DataSet test_set) {\n // check\n Example first = test_set.getExample(0);\n if (!(first.get(\"INPUT\").getValue() instanceof Double[])) {\n throw new RuntimeException(\"NeuralNetworkLearner inputs must be passed as a Double[] in the \\\"INPUT\\\" attribute\");\n }\n if (!(first.getOutput() instanceof Double[])) {\n throw new RuntimeException(\"NeuralNetworkLearner output must be set to a Double[]\");\n }\n // test\n int[] results = new int[]{0, 0};\n for (Example e : test_set) {\n System.out.println(Arrays.toString(this.predict(e)));\n System.out.println(Arrays.toString((Double[]) e.getOutput()));\n if (Arrays.equals((Double[]) e.getOutput(), this.predict(e))) {\n results[0]++;\n } else {\n results[1]++;\n }\n }\n // return\n return results;\n }", "@Test\n public void test36() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.incorrect();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test\n public void testBackwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.backwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void train(KDTree test, BufferedReader br, List<double[]> equationList, int kmerToDo, boolean fastatofeature) throws Exception;", "@Test\r\n\tpublic void calculMetricInferiorStudentBetterScoreTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(25f, 2f), 12f, 8f), new Float(0));\r\n\t}", "@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }", "@Test\n @Order(8)\n void taillardTestMoreIterations() {\n try {\n\n for (int i = 0; i < SearchTestUtil.taillardFilenames.length; i++) {\n int output;\n float sumTabu = 0;\n int minTabu = Integer.MAX_VALUE;\n float sumRecuit = 0;\n int minRecuit = Integer.MAX_VALUE;\n System.out.println(\"Run#\" + SearchTestUtil.taillardFilenames[i]);\n assignementProblem.taillardInitializer(SearchTestUtil.taillardFilenames[i]);\n assignementProblem.setNeighborsFunction(NEIGHBORHOOD_TYPE, assignementProblem.getAssignmentData().getLength());\n for (int j = 0; j < 10; j++) {\n assignementProblem.setInCombination(Combination.generateRandom(assignementProblem.getAssignmentData().getLength()));\n\n System.out.println(\"\\n \\t Test#\"+j);\n executeAlgo(SearchTestUtil.ALGO.TABU);\n output = assignementProblem.getF().apply(assignementProblem.getOutCombination());\n sumTabu += output;\n if (output < minTabu) minTabu = output;\n\n executeAlgo(SearchTestUtil.ALGO.RECUIT);\n output = assignementProblem.getF().apply(assignementProblem.getOutCombination());\n sumRecuit += output;\n if (output < minRecuit) minRecuit = output;\n }\n\n\n System.out.println(\"\\tAverage tabu \" + sumTabu / 10);\n System.out.println(\"\\tMinimum found \" + minTabu);\n\n System.out.println(\"\\tAverage recuit \" + sumRecuit / 10);\n System.out.println(\"\\tMinimum found \" + minRecuit);\n\n }\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "private void evaluationLogic() {\n // setup for logic:\n // if distToClosestEstimate[i][0] is smaller than threshold, we have a Tp\n // if distToClosestEstimate[i][0] is larger than threshold, we have a Fn\n // all estimatedFeatures that are not assigned Tp are therefore Fp\n for (int i = 0; i < groundTruthInstant.size(); ++i) {\n if (distToClosestEstimate[i][0] < truePositiveThreshold) {\n ++truePositiveCount;\n int assignedEstimatedFeature = (int) distToClosestEstimate[i][1];\n assignedEstimatedFeatures[assignedEstimatedFeature] = true;\n } else\n ++falseNegativeCount;\n }\n for (int i = 0; i < estimatedInstant.size(); ++i)\n if (!assignedEstimatedFeatures[i])\n ++falsePositiveCount;\n }", "@Test\n public void testFingerprintPerturbation()\n {\n IDoubleArray M = null;\n IDoubleArray p0 = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintPerturbation(M, p0, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test036() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[][] intArray0 = new int[0][1];\n // Undeclared exception!\n try { \n resultMatrixLatex0.setSummary((int[][]) null, (int[][]) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test077() throws Throwable {\n String[] stringArray0 = new String[2];\n stringArray0[1] = \"\";\n Evaluation.main(stringArray0);\n NaiveBayesMultinomial naiveBayesMultinomial0 = new NaiveBayesMultinomial();\n try { \n Evaluation.evaluateModel((Classifier) naiveBayesMultinomial0, stringArray0);\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // \n // Weka exception: No training file and no object input file given.\n // \n // General options:\n // \n // -h or -help\n // \\tOutput help information.\n // -synopsis or -info\n // \\tOutput synopsis for classifier (use in conjunction with -h)\n // -t <name of training file>\n // \\tSets training file.\n // -T <name of test file>\n // \\tSets test file. If missing, a cross-validation will be performed\n // \\ton the training data.\n // -c <class index>\n // \\tSets index of class attribute (default: last).\n // -x <number of folds>\n // \\tSets number of folds for cross-validation (default: 10).\n // -no-cv\n // \\tDo not perform any cross validation.\n // -split-percentage <percentage>\n // \\tSets the percentage for the train/test set split, e.g., 66.\n // -preserve-order\n // \\tPreserves the order in the percentage split.\n // -s <random number seed>\n // \\tSets random number seed for cross-validation or percentage split\n // \\t(default: 1).\n // -m <name of file with cost matrix>\n // \\tSets file with cost matrix.\n // -l <name of input file>\n // \\tSets model input file. In case the filename ends with '.xml',\n // \\ta PMML file is loaded or, if that fails, options are loaded\n // \\tfrom the XML file.\n // -d <name of output file>\n // \\tSets model output file. In case the filename ends with '.xml',\n // \\tonly the options are saved to the XML file, not the model.\n // -v\n // \\tOutputs no statistics for training data.\n // -o\n // \\tOutputs statistics only, not the classifier.\n // -i\n // \\tOutputs detailed information-retrieval statistics for each class.\n // -k\n // \\tOutputs information-theoretic statistics.\n // -classifications \\\"weka.classifiers.evaluation.output.prediction.AbstractOutput + options\\\"\n // \\tUses the specified class for generating the classification output.\n // \\tE.g.: weka.classifiers.evaluation.output.prediction.PlainText\n // -p range\n // \\tOutputs predictions for test instances (or the train instances if\n // \\tno test instances provided and -no-cv is used), along with the \n // \\tattributes in the specified range (and nothing else). \n // \\tUse '-p 0' if no attributes are desired.\n // \\tDeprecated: use \\\"-classifications ...\\\" instead.\n // -distribution\n // \\tOutputs the distribution instead of only the prediction\n // \\tin conjunction with the '-p' option (only nominal classes).\n // \\tDeprecated: use \\\"-classifications ...\\\" instead.\n // -r\n // \\tOnly outputs cumulative margin distribution.\n // -xml filename \| xml-string\n // \\tRetrieves the options from the XML-data instead of the command line.\n // -threshold-file <file>\n // \\tThe file to save the threshold data to.\n // \\tThe format is determined by the extensions, e.g., '.arff' for ARFF \n // \\tformat or '.csv' for CSV.\n // -threshold-label <label>\n // \\tThe class label to determine the threshold data for\n // \\t(default is the first label)\n // \n // Options specific to weka.classifiers.bayes.NaiveBayesMultinomial:\n // \n // -D\n // \\tIf set, classifier is run in debug mode and\n // \\tmay output additional info to the console\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test(timeout = 4000)\n public void test05() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n naiveBayesMultinomialText0.m_useStopList = true;\n boolean boolean0 = naiveBayesMultinomialText0.getUseStopList();\n assertTrue(boolean0);\n }", "@Test\n public void testEstimateCstepping_IIntArray_int()\n {\n IIntArray traj = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCstepping(traj, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test115() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setPrintColNames(false);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "protected abstract void evaluate(Vector target, List<Vector> predictions);", "double computeMAE(int paraK) {\n\t\tdouble tempMae = 0;\n\t\tint tempTotalCount = 0;\n\t\t// Step 1. Predict the distribution\n\t\tfor (int i = 0; i < dataModel.uTeRateInds.length; i++) {\n\t\t\tfor (int j = 0; j < dataModel.uTeRateInds[i].length; j++) {\n\t\t\t\tint[] tempDistribution = predict(i, dataModel.uTeRateInds[i][j], paraK);\n\t\t\t\tif (tempDistribution == null) {\n\t\t\t\t\tcontinue;\n\t\t\t\t} // Of if\n\n\t\t\t\tdouble tempPrediction = 0;\n\t\t\t\tint tempCount = 0;\n\t\t\t\tfor (int k = 0; k < tempDistribution.length; k++) {\n\t\t\t\t\ttempPrediction += tempDistribution[k] * (k + 1);\n\t\t\t\t\ttempCount += tempDistribution[k];\n\t\t\t\t} // Of for k\n\t\t\t\ttempPrediction /= tempCount;\n\n\t\t\t\ttempMae += Math.abs(tempPrediction - dataModel.uTeRatings[i][j]);\n\t\t\t\ttempTotalCount++;\n\t\t\t} // of for\n\t\t} // of for i\n\n\t\tif (tempTotalCount > 1e-6) {\n\t\t\ttempMae /= tempTotalCount;\n\t\t} // of\n\n\t\treturn tempMae;\n\t}", "@Test(timeout = 4000)\n public void test135() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[1] = intArray0[0];\n int[] intArray2 = new int[0];\n intArray0[2] = intArray2;\n int[] intArray3 = new int[6];\n intArray3[1] = 0;\n String string0 = resultMatrixGnuPlot0.doubleToString(0, 0);\n assertEquals(\"0.\", string0);\n \n intArray3[2] = 2;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int int1 = resultMatrixSignificance0.getSignificance(2469, 0);\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, int1);\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n }", "@Test(timeout = 4000)\n public void test001() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixLatex0.padString((String) null, (-857));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "@Test(timeout = 4000)\n public void test125() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\n try { \n evaluation0.evaluateModelOnceAndRecordPrediction((Classifier) costSensitiveClassifier0, (Instance) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test\n public void testEstimateCmilestoning_Iterable_int()\n {\n Iterable<IIntArray> trajs = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCmilestoning(trajs, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test015() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[7];\n intArray0[0] = 0;\n intArray0[1] = 1;\n intArray0[2] = 952;\n intArray0[3] = 2;\n intArray0[4] = 1;\n intArray0[5] = 1;\n intArray0[6] = 0;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {0, 1, 952, 2, 1, 1, 0}, intArray0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(7, intArray0.length);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean(2, 2);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot1.getRowName(2);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n int int0 = resultMatrixGnuPlot0.getDefaultColNameWidth();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n resultMatrixGnuPlot0.setRowHidden(0, false);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n boolean boolean0 = resultMatrixSignificance0.getDefaultShowStdDev();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n String string2 = resultMatrixGnuPlot0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string2);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int1 = resultMatrixPlainText0.getDisplayRow(44);\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals((-1), int1);\n assertFalse(int1 == int0);\n }", "@Test(timeout = 4000)\n public void test120() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctIncorrect();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\r\n public void testCalculateNDM() {\r\n System.out.println(\"calculateNDM\");\r\n NDM instance = null;\r\n Double expResult = null;\r\n //Double result = instance.calculateNDM();\r\n //assertEquals(expResult, result);\r\n // TODO review the generated test code and remove the default call to fail.\r\n //fail(\"The test case is a prototype.\");\r\n }", "@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test101() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n Vector<Integer> vector0 = new Vector<Integer>();\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertNotNull(vector0);\n \n resultMatrixSignificance0.m_HeaderKeys = vector0;\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertTrue(resultMatrixSignificance0.m_HeaderKeys.isEmpty());\n assertEquals(\"[]\", resultMatrixSignificance0.m_HeaderKeys.toString());\n assertEquals(0, resultMatrixSignificance0.m_HeaderKeys.size());\n assertEquals(10, resultMatrixSignificance0.m_HeaderKeys.capacity());\n \n boolean boolean0 = vector0.add((Integer) 0);\n assertEquals(10, vector0.capacity());\n assertEquals(1, vector0.size());\n assertEquals(\"[0]\", vector0.toString());\n assertFalse(vector0.isEmpty());\n assertTrue(vector0.contains(0));\n assertTrue(boolean0);\n \n int int0 = resultMatrixSignificance0.getDefaultMeanWidth();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n \n String string0 = resultMatrixSignificance0.getRevision();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n resultMatrixSignificance0.setOptions((String[]) null);\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(618, 691);\n }", "@Test\n\tpublic void testOptimization() throws Exception {\n\t\tfor(int i = 0; i < 20000000; i++) {\n\t\t\tint _300s = (int) (Math.random() * 100);\n\t\t\tint _100s = (int) (Math.random() * 100);\n\t\t\tint _50s = (int) (Math.random() * 100);\n\t\t\tint misses = (int) (Math.random() * 100);\n\t\t\t\n\t\t\tdouble acc = OsuApiScore.getAccuracy(_300s, _100s, _50s, misses);\n\t\t\t\n\t\t\tAccuracyDistribution accuracyDistribution = AccuracyDistribution.closest(\n\t\t\t\t\t_300s + _100s + _50s + misses, misses,\n\t\t\t\t\tacc);\n\t\t\t\n\t\t\tdouble rec = OsuApiScore.getAccuracy(accuracyDistribution.getX300(),\n\t\t\t\t\taccuracyDistribution.getX100(), accuracyDistribution.getX50(),\n\t\t\t\t\taccuracyDistribution.getMiss());\n\t\t\t\n\t\t\tassertEquals(acc, rec, 0d);\n\t\t}\n\t}", "private double assertApproximation(IApproximator approx) {\r\n double a = approx.approximate(param);\r\n Assert.assertTrue(\"Not \" + minExpected + \"<=\" + a + \"<=\" + maxExpected + \" for \" + param, \r\n minExpected <= a && a <= maxExpected);\r\n return a;\r\n }", "void setNewEstimates(double[] estimates);", "private void test(IApproximatorCreator creator, List<Point> data, List<ExpectedApproximation> expectations) {\r\n File tmp = new File(FileUtils.getTempDirectory(), \"approx\");\r\n tmp.mkdirs();\r\n \r\n IStorageStrategy strategy = DefaultStorageStrategy.INSTANCE;\r\n IApproximator approx1 = creator.createApproximator(strategy, tmp, \"key\", TimeBehavior.LATENCY);\r\n Assert.assertNotNull(approx1);\r\n for (int d = 0; d < data.size(); d++) {\r\n data.get(d).update(approx1);\r\n }\r\n File f = approx1.store(tmp);\r\n Assert.assertNotNull(f);\r\n Assert.assertTrue(f.exists());\r\n \r\n IApproximator approx2 = creator.createApproximator(strategy, tmp, \"key\", TimeBehavior.LATENCY);\r\n Assert.assertNotNull(approx2);\r\n Assert.assertTrue(approx2.containsSameData(approx1));\r\n\r\n if (null != expectations) {\r\n for (ExpectedApproximation a : expectations) {\r\n double v1 = a.assertApproximation(approx1);\r\n double v2 = a.assertApproximation(approx2);\r\n Assert.assertEquals(v1, v2, 0.05);\r\n }\r\n }\r\n \r\n FileUtils.deleteQuietly(tmp);\r\n }", "public double estimate_error(Point point, Line model)\n {\n double y = model.a * point.getX() + model.b;\n return (Math.abs(point.getY() - y) / Math.sqrt(1 + model.a * model.a));\n }", "public double homoscedasticTTest(double m1, double m2, double v1, double v2, double n1, double n2) throws MaxCountExceededException, NotStrictlyPositiveException {\r\n return 2.0d * new TDistribution((RandomGenerator) null, (n1 + n2) - 2.0d).cumulativeProbability(-FastMath.abs(homoscedasticT(m1, m2, v1, v2, n1, n2)));\r\n }", "private double updateEstimates(long sleep) {\r\n \t\t// Prune datasets\r\n \t\twhile (startupTimeHistory.size() > poolConfig.averageCount) {\r\n \t\t\tstartupTimeHistory.remove(0);\r\n \t\t}\r\n \t\twhile (requestTimeHistory.size() > poolConfig.averageCount) {\r\n \t\t\trequestTimeHistory.remove(0);\r\n \t\t}\r\n \r\n \t\t// Do estimates\r\n \t\tlong totalTime = 0;\r\n \t\tfor (long t : startupTimeHistory) {\r\n \t\t\ttotalTime += t;\r\n \t\t}\r\n \t\tstartupTimeEstimate = totalTime / startupTimeHistory.size();\r\n \r\n \t\t// Math.max(..., 1) to avoid divide by zeros.\r\n \t\tdemandEstimate = requestTimeHistory.size()\r\n \t\t\t\t/ Math.max(System.currentTimeMillis() - requestTimeHistory.get(0), 1.0);\r\n \r\n \t\t// Guestimate demand for N\r\n \t\tdouble estimate = demandEstimate * poolConfig.safetyMultiplier * sleep;\r\n \t\treturn Math.min(Math.max(estimate, poolConfig.poolMin), poolConfig.poolMax);\r\n \t}", "@Test(timeout = 4000)\n public void test167() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.showStdDevTipText();\n resultMatrixLatex0.getRevision();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n resultMatrixGnuPlot0.RIGHT_PARENTHESES = \")\";\n resultMatrixGnuPlot0.getDefaultRowNameWidth();\n int[] intArray0 = new int[7];\n intArray0[0] = 2;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 1;\n intArray0[4] = 0;\n intArray0[5] = 1;\n intArray0[6] = 2;\n resultMatrixLatex0.m_ColOrder = intArray0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n int[] intArray1 = new int[6];\n intArray1[0] = 0;\n intArray1[1] = 50;\n intArray1[2] = 50;\n intArray1[3] = 50;\n intArray1[4] = 2;\n intArray1[5] = 0;\n resultMatrixSignificance0.m_RankingLosses = intArray1;\n resultMatrixSignificance0.getDisplayName();\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n \n String string0 = resultMatrixLatex0.getSummaryTitle(0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"a\", string0);\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n }" ]	[ "0.6424646", "0.61012846", "0.60298246", "0.5904299", "0.56874526", "0.55412877", "0.54965585", "0.54822665", "0.54671025", "0.5456951", "0.5438459", "0.54373664", "0.5430289", "0.5409268", "0.5314263", "0.53045404", "0.5262019", "0.52573663", "0.52525485", "0.5239653", "0.5232836", "0.5207577", "0.5200431", "0.51955503", "0.51847094", "0.51759785", "0.51752084", "0.5165742", "0.5132256", "0.51271105", "0.5125957", "0.51107913", "0.50859964", "0.5081984", "0.5039278", "0.5038158", "0.5030183", "0.5014224", "0.50080734", "0.49899915", "0.4986595", "0.49799043", "0.497124", "0.4965799", "0.4964485", "0.4959956", "0.49377432", "0.4923606", "0.49225885", "0.49117005", "0.49012774", "0.48945293", "0.48751983", "0.48624852", "0.48500857", "0.4842611", "0.4831315", "0.48295882", "0.482495", "0.48135284", "0.480477", "0.48023656", "0.47986028", "0.47909898", "0.47891152", "0.47851777", "0.47828734", "0.47749025", "0.47744888", "0.4772507", "0.47704354", "0.47686297", "0.47675493", "0.47662443", "0.47627062", "0.47609913", "0.47588795", "0.4749523", "0.4744351", "0.4732263", "0.47307318", "0.47272015", "0.47264472", "0.47184065", "0.47123405", "0.47118306", "0.46972087", "0.46934345", "0.46923834", "0.46918353", "0.4690917", "0.46902493", "0.46897697", "0.46895885", "0.46867752", "0.468409", "0.46833584", "0.46806312", "0.4663353", "0.4663311" ]	0.86361825	0
Test of estimateTrev method, of class MarkovModelUtilities.	@Test public void testEstimateTrev_IDoubleArray() { double[][] C = { {10,5,1}, {1,7,4}, {5,7,25}}; double[][] Tref = { {0.625, 0.23689343769530435, 0.13810656230469573}, {0.18414208307292756, 0.5833333333333334, 0.23252458359373912}, {0.10244040548986129, 0.22188391883446298, 0.6756756756756757}}; IDoubleArray counts = Doubles.create.array(C); IDoubleArray expResult = Doubles.create.array(Tref); IDoubleArray result = MarkovModel.util.estimateTrev(counts); DoubleArrayTest.assertEqual(result, expResult, 1e-4); // TODO review the generated test code and remove the default call to fail. }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testEstimateTrev_IDoubleArray_IDoubleArray()\n {\n IDoubleArray counts = null;\n IDoubleArray piFixed = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateTrev(counts, piFixed);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testStationaryDistributionRevQuick()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.stationaryDistributionRevQuick(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testPerturbationExpectation()\n {\n IDoubleArray M = null;\n IDoubleArray pi0 = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.perturbationExpectation(M, pi0, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testBackwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.backwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testStationaryDistribution()\n {\n try\n {\n IDoubleArray T = Doubles.create.fromFile(inputT1);\n IDoubleArray expResult = Doubles.create.fromFile(inputT1_pi); \n IDoubleArray pi = MarkovModel.util.stationaryDistribution(T);\n assertEqual(pi, expResult, 1e-5);\n }\n catch(IOException e)\n {\n \n e.printStackTrace();\n }\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "public double tTest(double m, double mu, double v, double n) throws MaxCountExceededException, MathIllegalArgumentException {\r\n return 2.0d * new TDistribution((RandomGenerator) null, n - 1.0d).cumulativeProbability(-FastMath.abs(mo3937t(m, mu, v, n)));\r\n }", "@Test\n public void testGetSetTemperaturaExterior() {\n System.out.println(\"getSetTemperaturaExterior\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExterior(expResult);\n double result = instance.getTemperaturaExterior();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public abstract int predict(double[] testingData);", "@Test\n public void testGetSetTemperaturaExteriorMaxima() {\n System.out.println(\"getSetTemperaturaExteriorMaxima\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMaxima(expResult);\n double result = instance.getTemperaturaExteriorMaxima();\n assertEquals(expResult, result, 0.0);\n }", "@LargeTest\n public void testVignetteApproximateRelaxed() {\n TestAction ta = new TestAction(TestName.VIGNETTE_APPROXIMATE_RELAXED);\n runTest(ta, TestName.VIGNETTE_APPROXIMATE_RELAXED.name());\n }", "@Test\n public void testGetSetTemperaturaExteriorMinima() {\n System.out.println(\"getSetTemperaturaExteriorMinima\");\n double expResult = 10.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMinima(expResult);\n double result = instance.getTemperaturaExteriorMinima();\n assertEquals(expResult, result, 0.0);\n }", "public double tTest(double m1, double m2, double v1, double v2, double n1, double n2) throws MaxCountExceededException, NotStrictlyPositiveException {\r\n return 2.0d * new TDistribution((RandomGenerator) null, mo3926df(v1, v2, n1, n2)).cumulativeProbability(-FastMath.abs(mo3938t(m1, m2, v1, v2, n1, n2)));\r\n }", "public void predict(String testFileName) throws IOException, InvalidInputException{\r\n BufferedReader reader = new BufferedReader(new FileReader(testFileName));\r\n if(reader.toString().length() == 0){\r\n throw new InvalidInputException(\"Invalid input file! File is empty!\");\r\n }\r\n\r\n int index = 0;\r\n Vector<Double> actuals = new Vector<>();\r\n Vector<Double> predicts = new Vector<>();\r\n while(true) {\r\n String line = reader.readLine();\r\n if (line == null)\r\n break;\r\n\r\n StringTokenizer st = new StringTokenizer(line, \" \\t\\n\\r\\f:\");\r\n\r\n double target = Utils.toDouble(st.nextToken());\r\n int m = st.countTokens() / 2;\r\n svm_node[] x = new svm_node[m];\r\n for (int j = 0; j < m; j++) {\r\n x[j] = new svm_node();\r\n x[j].index = Utils.toInt(st.nextToken());\r\n x[j].value = Utils.toDouble(st.nextToken());\r\n }\r\n double v;\r\n v = svm.svm_predict(this.model, x);\r\n\r\n actuals.add(index, target);\r\n predicts.add(index, v);\r\n\r\n System.out.println(\"[\" + index + \"] Prediction:\" + v + \", actual:\" + target);\r\n index += 1;\r\n }\r\n Metrices me = new Metrices(Utils.toDoubleArray(predicts), Utils.toDoubleArray(actuals), predicts.size());\r\n System.out.println(\"RMSE: \" + me.getRMSE());\r\n }", "@Test\n public void testEstimateCstepping_Iterable_int()\n {\n Iterable<IIntArray> trajs = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCstepping(trajs, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testLogLikelihood()\n {\n IDoubleArray T = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihood(T, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testHasTemperaturaVariation() {\n System.out.println(\"hasTemperaturaVariation\");\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n boolean expResult = true;\n instance.setHasTemperaturaVariation(expResult);\n boolean result = instance.hasTemperaturaVariation();\n assertEquals(expResult, result);\n }", "@Test\n\tpublic void testTGetY() {\n\t\tassertEquals(0, tank.getY());\n\t}", "@Test\n public void testAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.autocorrelation(M, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testPerformReverseStep_reverseThenAltAtInit() throws IOException {\n initializeTestWithModelPath(\"models/even_odd.als\");\n String dotString1 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1 -> S2\",\n \"\\tS2 -> S3\",\n \"\\tS3\",\n \"}\",\n \"\"\n );\n String dotString2 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1 -> S2\",\n \"\\tS2 -> S3\",\n \"\\tS3\",\n \"\\tS4\",\n \"}\",\n \"\"\n );\n String dotString3 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1 -> S2\",\n \"\\tS2 -> S3\",\n \"\\tS3\",\n \"\\tS4 -> S5\",\n \"\\tS5\",\n \"}\",\n \"\"\n );\n String state1 = String.join(\"\\n\",\n \"\",\n \"S1\",\n \"----\",\n \"i: { 0 }\",\n \"\"\n );\n String state2 = String.join(\"\\n\",\n \"\",\n \"S4\",\n \"----\",\n \"i: { 1 }\",\n \"\"\n );\n String state3 = String.join(\"\\n\",\n \"\",\n \"S5\",\n \"----\",\n \"i: { 3 }\",\n \"\"\n );\n String history = String.join(\"\\n\",\n \"\",\n \"S4 (-1)\",\n \"---------\",\n \"i: { 1 }\",\n \"\"\n );\n\n assertTrue(sm.initialize(modelFile, false));\n assertTrue(sm.performStep(2));\n sm.performReverseStep(2);\n assertEquals(state1, sm.getCurrentStateString());\n assertEquals(\"\", sm.getHistory(3));\n assertEquals(dotString1, sm.getDOTString());\n\n assertTrue(sm.selectAlternatePath(false));\n assertEquals(state2, sm.getCurrentStateString());\n assertEquals(\"\", sm.getHistory(3));\n assertEquals(dotString2, sm.getDOTString());\n\n assertTrue(sm.performStep(1));\n assertEquals(state3, sm.getCurrentStateString());\n assertEquals(history, sm.getHistory(3));\n assertEquals(dotString3, sm.getDOTString());\n }", "@Test\n public void testEstimateC_Iterable_int()\n {\n Iterable<IIntArray> trajs = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateC(trajs, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testPerformReverseStep_altThenReverseToInit() throws IOException {\n initializeTestWithModelPath(\"models/even_odd.als\");\n String dotString1 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1\",\n \"\\tS2 -> S3\",\n \"\\tS3 -> S4\",\n \"\\tS4\",\n \"}\",\n \"\"\n );\n String dotString2 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1\",\n \"\\tS2 -> S3\",\n \"\\tS3 -> S4\",\n \"\\tS4 -> S5\",\n \"\\tS5\",\n \"}\",\n \"\"\n );\n String state1 = String.join(\"\\n\",\n \"\",\n \"S2\",\n \"----\",\n \"i: { 1 }\",\n \"\"\n );\n String state2 = String.join(\"\\n\",\n \"\",\n \"S5\",\n \"----\",\n \"i: { 7 }\",\n \"\"\n );\n String history = String.join(\"\\n\",\n \"\",\n \"S2 (-3)\",\n \"---------\",\n \"i: { 1 }\",\n \"\",\n \"S3 (-2)\",\n \"---------\",\n \"i: { 3 }\",\n \"\",\n \"S4 (-1)\",\n \"---------\",\n \"i: { 5 }\",\n \"\"\n );\n\n assertTrue(sm.initialize(modelFile, false));\n assertTrue(sm.selectAlternatePath(false));\n assertTrue(sm.performStep(2));\n sm.performReverseStep(2);\n assertEquals(state1, sm.getCurrentStateString());\n assertEquals(\"\", sm.getHistory(3));\n assertEquals(dotString1, sm.getDOTString());\n\n assertTrue(sm.performStep(3));\n assertEquals(state2, sm.getCurrentStateString());\n assertEquals(history, sm.getHistory(4));\n assertEquals(dotString2, sm.getDOTString());\n }", "public void evaluate(String sampleFile, String featureDefFile, int nFold, float tvs, String modelDir, String modelFile) {\n/* 854 / List<List<RankList>> trainingData = new ArrayList<>();\n/ 855 / List<List<RankList>> validationData = new ArrayList<>();\n/ 856 / List<List<RankList>> testData = new ArrayList<>();\n/ / \n/ / \n/ / \n/ 860 / List<RankList> samples = readInput(sampleFile);\n/ / \n/ / \n/ 863 / int[] features = readFeature(featureDefFile);\n/ 864 / if (features == null) {\n/ 865 / features = FeatureManager.getFeatureFromSampleVector(samples);\n/ / }\n/ 867 / FeatureManager.prepareCV(samples, nFold, tvs, trainingData, validationData, testData);\n/ / \n/ / \n/ 870 / if (normalize)\n/ / {\n/ 872 / for (int j = 0; j < nFold; j++) {\n/ / \n/ 874 / normalizeAll(trainingData, features);\n/ 875 / normalizeAll(validationData, features);\n/ 876 / normalizeAll(testData, features);\n/ / } \n/ / }\n/ / \n/ 880 / Ranker ranker = null;\n/ 881 / double scoreOnTrain = 0.0D;\n/ 882 / double scoreOnTest = 0.0D;\n/ 883 / double totalScoreOnTest = 0.0D;\n/ 884 / int totalTestSampleSize = 0;\n/ / \n/ 886 / double[][] scores = new double[nFold][]; int i;\n/ 887 / for (i = 0; i < nFold; i++) {\n/ 888 / (new double[2])[0] = 0.0D; (new double[2])[1] = 0.0D; scores[i] = new double[2];\n/ 889 / } for (i = 0; i < nFold; i++) {\n/ / \n/ 891 / List<RankList> train = trainingData.get(i);\n/ 892 / List<RankList> vali = null;\n/ 893 / if (tvs > 0.0F)\n/ 894 / vali = validationData.get(i); \n/ 895 / List<RankList> test = testData.get(i);\n/ / \n/ 897 / RankerTrainer trainer = new RankerTrainer();\n/ 898 / ranker = trainer.train(this.type, train, vali, features, this.trainScorer);\n/ / \n/ 900 / double s2 = evaluate(ranker, test);\n/ 901 / scoreOnTrain += ranker.getScoreOnTrainingData();\n/ 902 / scoreOnTest += s2;\n/ 903 / totalScoreOnTest += s2 test.size();\n/* 904 / totalTestSampleSize += test.size();\n/ / \n/ / \n/ 907 / scores[i][0] = ranker.getScoreOnTrainingData();\n/ 908 / scores[i][1] = s2;\n/ / \n/ / \n/ 911 / if (!modelDir.isEmpty()) {\n/ / \n/ 913 / ranker.save(FileUtils.makePathStandard(modelDir) + \"f\" + (i + 1) + \".\" + modelFile);\n/ 914 / System.out.println(\"Fold-\" + (i + 1) + \" model saved to: \" + modelFile);\n/ / } \n/ / } \n/ 917 / System.out.println(\"Summary:\");\n/ 918 / System.out.println(this.testScorer.name() + \"\\t\| Train\\t\| Test\");\n/ 919 / System.out.println(\"----------------------------------\");\n/ 920 / for (i = 0; i < nFold; i++)\n/ 921 / System.out.println(\"Fold \" + (i + 1) + \"\\t\| \" + SimpleMath.round(scores[i][0], 4) + \"\\t\| \" + SimpleMath.round(scores[i][1], 4) + \"\\t\"); \n/ 922 / System.out.println(\"----------------------------------\");\n/ 923 / System.out.println(\"Avg.\\t\| \" + SimpleMath.round(scoreOnTrain / nFold, 4) + \"\\t\| \" + SimpleMath.round(scoreOnTest / nFold, 4) + \"\\t\");\n/ 924 / System.out.println(\"----------------------------------\");\n/ 925 / System.out.println(\"Total\\t\| \\t\\t\| \" + SimpleMath.round(totalScoreOnTest / totalTestSampleSize, 4) + \"\\t\");\n/ / }", "@Test\n public void testGetTemperaturaInteriorAlvo() {\n System.out.println(\"getSetTemperaturaInteriorAlvo\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaInteriorAlvo(expResult);\n double result = instance.getTemperaturaInteriorAlvo();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void testEstimateCstepping_IIntArray_int()\n {\n IIntArray traj = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCstepping(traj, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void testRepeatibleDynamics() throws IOException, PropertiesException {\n\n\t\t\n\t\t// INSTANTIATE benchmark \n\t\tProperties props = PropertiesUtil.setpointProperties(new File (\"src/main/resources/sim.properties\"));\n\t\tSetPointGenerator lg = new SetPointGenerator (props);\n\t\tList<ExternalDriver> externalDrivers = new ArrayList<ExternalDriver>();\n\t\texternalDrivers.add(lg);\n\t\tIndustrialBenchmarkDynamics d = new IndustrialBenchmarkDynamics (props, externalDrivers);\n\t\tRandom actionRand = new Random(System.currentTimeMillis());\n \n // 1) do 100000 random steps, in order to initialize dynamics\n\t\tfinal ActionDelta action = new ActionDelta(0.001f, 0.001f, 0.001f); \n\t\tfor (int i=0; i<INIT_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t}\n\t\t\n\t\t// 2) memorize current observable state and current markov state\n\t\tfinal ObservableState os = d.getState();\n\t\tfinal DataVector ms = d.getInternalMarkovState();\n\t\tSystem.out.println (\"init o-state: \" + os.toString());\n\t\tSystem.out.println (\"init m-state: \" + ms.toString());\n\t\t\n\t\t\n\t\t// 3) perform test trajectory and memorize states\n\t\tactionRand.setSeed(ACTION_SEED);\n\t\tDataVector oStates[] = new DataVector[MEM_STEPS];\n\t\tDataVector mStates[] = new DataVector[MEM_STEPS];\n\t\t\t\t\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t\toStates[i] = d.getState();\n\t\t\tmStates[i] = d.getInternalMarkovState();\n\t\t}\n\t\t\n\t\t// 4) reset dynamics & parameters and internal markov state\n\t\td.reset();\n\t\td.setInternalMarkovState(ms);\n\t\t\n\t\t// 5) reperform test and check if values are consistent\n\t\tactionRand.setSeed(ACTION_SEED); // reproduce action sequence\n\t\tDataVector oState = null;\n\t\tDataVector mState = null;\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\t\n\t\t\td.step(action);\n\t\t\toState = d.getState();\n\t\t\tmState = d.getInternalMarkovState();\n\t\t\t\n\t\t\t// check observable state\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.SetPoint), oState.getValue(ObservableStateDescription.SetPoint), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Fatigue), oState.getValue(ObservableStateDescription.Fatigue), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Consumption), oState.getValue(ObservableStateDescription.Consumption), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.RewardTotal), oState.getValue(ObservableStateDescription.RewardTotal), 0.0001);\n\n\t\t\t// \n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.CurrentOperationalCost), mState.getValue(MarkovianStateDescription.CurrentOperationalCost), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent2), mState.getValue(MarkovianStateDescription.FatigueLatent2), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent1), mState.getValue(MarkovianStateDescription.FatigueLatent1), 0.0001);\n\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionGainBeta), mState.getValue(MarkovianStateDescription.EffectiveActionGainBeta), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), mState.getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveShift), mState.getValue(MarkovianStateDescription.EffectiveShift), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.MisCalibration), mState.getValue(MarkovianStateDescription.MisCalibration), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), mState.getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardFatigue), mState.getValue(MarkovianStateDescription.RewardFatigue), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardConsumption), mState.getValue(MarkovianStateDescription.RewardConsumption), 0.0001);\n\t\t}\n\t\t\n\t\tSystem.out.println (\"last o-state 1st trajectory: \" + oStates[oStates.length-1]);\n\t\tSystem.out.println (\"last o-state 2nd trajectory: \" + oState);\n\t\t\n\t\tSystem.out.println (\"last m-state 1st trajectory: \" + mStates[oStates.length-1]);\n\t\tSystem.out.println (\"last m-state 2nd trajectory: \" + mState);\n\t}", "@Test(timeout = 4000)\n public void test34() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"Induction of decision trees\");\n assertEquals(\"induc of decis tree\", string0);\n }", "@Test\r\n public void testCalcularPosicionInvertida() {\r\n System.out.println(\"calcularPosicionInvertida\");\r\n int saltos = 41;\r\n int inicio = 8;\r\n int expResult = 5;\r\n int result = Cifrado.calcularPosicionInvertida(saltos, inicio);\r\n assertEquals(expResult, result);\r\n \r\n }", "@Test(timeout = 4000)\n public void test54() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"Induction of decision trees\");\n assertEquals(\"induc of decis tree\", string0);\n }", "@Test\n public void testEstimateCmilestoning_3args_2()\n {\n IIntArray traj = null;\n Iterable<IIntArray> cores = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCmilestoning(traj, cores, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n\tpublic void calculMetricInferiorTeacherWithLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(10f, 1f), 12f, 15f), new Float(1));\r\n\t}", "@Test\n public void testEstimateCmilestoning_3args_1()\n {\n Iterable<IIntArray> trajs = null;\n Iterable<IIntArray> cores = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCmilestoning(trajs, cores, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n @Order(8)\n void taillardTestMoreIterations() {\n try {\n\n for (int i = 0; i < SearchTestUtil.taillardFilenames.length; i++) {\n int output;\n float sumTabu = 0;\n int minTabu = Integer.MAX_VALUE;\n float sumRecuit = 0;\n int minRecuit = Integer.MAX_VALUE;\n System.out.println(\"Run#\" + SearchTestUtil.taillardFilenames[i]);\n assignementProblem.taillardInitializer(SearchTestUtil.taillardFilenames[i]);\n assignementProblem.setNeighborsFunction(NEIGHBORHOOD_TYPE, assignementProblem.getAssignmentData().getLength());\n for (int j = 0; j < 10; j++) {\n assignementProblem.setInCombination(Combination.generateRandom(assignementProblem.getAssignmentData().getLength()));\n\n System.out.println(\"\\n \\t Test#\"+j);\n executeAlgo(SearchTestUtil.ALGO.TABU);\n output = assignementProblem.getF().apply(assignementProblem.getOutCombination());\n sumTabu += output;\n if (output < minTabu) minTabu = output;\n\n executeAlgo(SearchTestUtil.ALGO.RECUIT);\n output = assignementProblem.getF().apply(assignementProblem.getOutCombination());\n sumRecuit += output;\n if (output < minRecuit) minRecuit = output;\n }\n\n\n System.out.println(\"\\tAverage tabu \" + sumTabu / 10);\n System.out.println(\"\\tMinimum found \" + minTabu);\n\n System.out.println(\"\\tAverage recuit \" + sumRecuit / 10);\n System.out.println(\"\\tMinimum found \" + minRecuit);\n\n }\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "@Test\n public void testFingerprintPerturbation()\n {\n IDoubleArray M = null;\n IDoubleArray p0 = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintPerturbation(M, p0, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void testGetTariefBehandeling(){\n\t\tdouble expResult = 89.50;\n\t\tassertTrue(expResult == instance.getTariefBehandeling());\n\t}", "public static void runMarginPerceptron(Data[] data, int index,String testFileName,HashMap<Integer,Integer> words)\r\n{\r\n int t=0;\r\n double LearningRates[] = {1, 0.1, 0.01};\r\n double Margins[] = {1, 0.1, 0.01};\r\n\r\n\tint minInt =0; // Set To Your Desired Min Value\r\n int maxInt =2;\r\n\tRandom rand = new Random();\r\n\t\r\n \tint randomNum = rand.nextInt((maxInt - minInt) + 1) + minInt;\r\n\r\n \tdouble LearningRate = LearningRates[randomNum];\r\n \t\r\nfor(int m=0;m<LearningRates.length;m++)\r\n{\r\n for(int i=0;i<LearningRates.length;i++)\r\n {\r\n\t LearningRate = LearningRates[i];\r\n\t\t double devAccuracyTotal = (double)0;\r\n\t\t int noOfEpochs= 20;\r\n\t\t int decreaseRate = 0;\r\n\t\t \r\n \t\t Double w[] = new Double[74500];\r\n\t\t Double min =-0.01; // Set To Your Desired Min Value\r\n\t Double max = 0.01;\r\n\t \t\tdouble smallRandNumber = min + new Random().nextDouble() * (max - min); \r\n\t\t\tArrays.fill(w, smallRandNumber);\r\n\t\t\t\r\n\t\t for(int epoch=0;epoch<noOfEpochs;epoch++)\r\n\t\t {\r\n\t\t\t \tw = learnMarginPerceptron(data,index,LearningRate,decreaseRate,w,Margins[m]);\r\n\t\t\t \tdecreaseRate = decreaseRate + index;\r\n\t\t\r\n\t\t }\r\n\t\t//CVSplit test\r\n \tdouble cvAccuracy = testTestFile(w,testFileName,words);\r\n \t\r\n// \tSystem.out.println(\"Epoch\" + epoch +\" Dev Accuracy for Decaying Learning Rate \" + LearningRate + \" is \" + cvAccuracy);\r\n \r\n \r\n \tSystem.out.println(\" ** Cv Accuracy for Margin Rate\" + Margins[m] + \" Learning Rate \" + LearningRate + \" is \" + cvAccuracy);\r\n \tSystem.out.println(\" \");\r\n }\r\n}\r\n//double testAccuracy = testTestFile(w,testFileName);\r\n\t//System.out.println(\"test Accuracy\" + testAccuracy);\r\n}", "@Test\r\n public void testiranjeNovca() {\r\n \r\n Main m = new Main();\r\n double val1 = 5;\r\n double val2 = 3;\r\n m.dovoljnoNovca(val1, val2);\r\n \r\n boolean tacno = false;\r\n if(val1>val2) {\r\n tacno = true;}\r\n boolean result = m.dovoljnoNovca(val1, val2);\r\n \r\n assertEquals(tacno, result);\r\n assertTrue(val1 > val2);\r\n assertNotNull(result);\r\n \r\n }", "@Test(timeout = 4000)\n public void test86() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n String string0 = naiveBayesMultinomialText0.stemmerTipText();\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\n assertFalse(naiveBayesMultinomialText0.getNormalizeDocLength());\n assertFalse(naiveBayesMultinomialText0.getUseWordFrequencies());\n assertEquals(0, naiveBayesMultinomialText0.getPeriodicPruning());\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\n assertEquals(\"The stemming algorithm to use on the words.\", string0);\n }", "@Test(timeout = 4000)\n public void test25() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"Mxn index (ints)d \");\n assertEquals(\"mxn indic (int)d \", string0);\n }", "@Test(timeout = 4000)\n public void test09() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"eti=t4on\");\n assertEquals(\"es=t4on\", string0);\n }", "@Test(timeout = 4000)\n public void test09() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"weka.core.stemmers.lovinsstemmeryt\");\n assertEquals(\"wek.cor.stemmer.lovinsstemmerys\", string0);\n }", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "private void test() {\r\n \ttry {\r\n\t\t\ttestWriter.write(\"Testing started...\");\r\n\t\t\r\n\t\t\tpredictions = new HashMap<>();\r\n \trightAnswers = new HashMap<>();\r\n\r\n\r\n \t// Get results and check them\r\n \tEvaluation eval = new Evaluation(numLabels);\r\n \tfinalTestIterator.reset();\r\n\r\n \tint metaDataCounter = 0;\r\n \tint addrCounter = 0;\r\n\r\n \twhile(finalTestIterator.hasNext()) {\r\n \t// If iterator has next dataset\r\n \tfinalTestData = finalTestIterator.next();\r\n \t// Get meta-data from this dataset\r\n\r\n \t@SuppressWarnings(\"rawtypes\")\r\n \tList<?> exampleMetaData = finalTestData.getExampleMetaData();\r\n \tIterator<?> exampleMetaDataIterator = exampleMetaData.iterator();\r\n \ttestWriter.write(\"\\n Metadata from dataset #\" + metaDataCounter + \":\\n\");\r\n \tSystem.out.println(\"\\n Metadata from dataset #\" + metaDataCounter + \":\\n\");\r\n\r\n \t// Normalize data\r\n \tnormalizer.fit(finalTestData);\r\n\r\n \t// Count processed images\r\n \tnumProcessed = (metaDataCounter + 1) * batchSizeTesting;\r\n \tloaded.setText(\"Loaded and processed: \" + numProcessed + \" pictures\");\r\n\r\n \tINDArray features = finalTestData.getFeatures();\r\n \tINDArray labels = finalTestData.getLabels();\r\n \tSystem.out.println(\"\\n Right labels #\" + metaDataCounter + \":\\n\");\r\n \ttestWriter.write(\"\\n Right labels #\" + metaDataCounter + \":\\n\");\r\n \t// Get right answers of NN for every input object\r\n \tint[][] rightLabels = labels.toIntMatrix();\r\n \tfor (int i = 0; i < rightLabels.length; i++) {\r\n \tRecordMetaDataURI metaDataUri = (RecordMetaDataURI) exampleMetaDataIterator.next();\r\n \t// Print address of image\r\n \tSystem.out.println(metaDataUri.getLocation());\r\n \tfor (int j = 0; j < rightLabels[i].length; j++) {\r\n \tif(rightLabels[i][j] == 1) {\r\n \t//public V put(K key, V value) -> key=address, value=right class label\r\n \trightAnswers.put(metaDataUri.getLocation(), j);\r\n \tthis.addresses.add(metaDataUri.getLocation());\r\n \t}\r\n \t}\r\n \t}\r\n \tSystem.out.println(\"\\nRight answers:\");\r\n \ttestWriter.write(\"\\nRight answers:\");\r\n \t// Print right answers\r\n \tfor(Map.Entry<String, Integer> answer : predictions.entrySet()){\r\n \t\ttestWriter.write(String.format(\"Address: %s Right answer: %s \\n\", answer.getKey(), answer.getValue().toString()));\r\n \tSystem.out.printf(String.format(\"Address: %s Right answer: %s \\n\", answer.getKey(), answer.getValue().toString()));\r\n \t}\r\n\r\n \t// Evaluate on the test data\r\n \tINDArray predicted = vgg16Transfer.outputSingle(features);\r\n \tint predFoundCounter = 0;\r\n \tSystem.out.println(\"\\n Labels predicted #\" + metaDataCounter + \":\\n\");\r\n \ttestWriter.write(\"\\n Labels predicted #\" + metaDataCounter + \":\\n\");\r\n \t// Get predictions of NN for every input object\r\n \tint[][] labelsPredicted = predicted.toIntMatrix();\r\n \tfor (int i = 0; i < labelsPredicted.length; i++) {\r\n \tfor (int j = 0; j < labelsPredicted[i].length; j++) {\r\n \tpredFoundCounter++;\r\n \tif(labelsPredicted[i][j] == 1) {\r\n \t//public V put(K key, V value) -> key=address, value=predicted class label\r\n \tpredFoundCounter = 0;\r\n \tthis.predictions.put(this.addresses.get(addrCounter), j);\r\n \t}\r\n \telse {\r\n \tif (predFoundCounter == 3) {\r\n \t// To fix bug when searching positive predictions\r\n \tthis.predictions.put(this.addresses.get(addrCounter), 2);\r\n \t}\r\n \t}\r\n \t}\r\n \taddrCounter++;\r\n \t}\r\n \tSystem.out.println(\"\\nPredicted:\");\r\n \ttestWriter.write(\"\\nPredicted:\");\r\n \t// Print predictions\r\n \tfor(Map.Entry<String, Integer> pred : rightAnswers.entrySet()){\r\n \tSystem.out.printf(\"Address: %s Predicted answer: %s \\n\", pred.getKey(), pred.getValue().toString());\r\n \ttestWriter.write(String.format(\"Address: %s Predicted answer: %s \\n\", pred.getKey(), pred.getValue().toString()));\r\n \t}\r\n \tmetaDataCounter++;\r\n\r\n \teval.eval(labels, predicted);\r\n \t}\r\n\r\n \tSystem.out.println(\"\\n\\n Cheack loaded model on test data...\");\r\n \tSystem.out.println(String.format(\"Evaluation on test data - [Accuracy: %.3f, P: %.3f, R: %.3f, F1: %.3f] \",\r\n \t\t\teval.accuracy(), eval.precision(), eval.recall(), eval.f1()));\r\n \tSystem.out.println(eval.stats());\r\n \tSystem.out.println(eval.confusionToString());\r\n \ttestWriter.write(\"\\n\\n Cheack loaded model on test data...\");\r\n \ttestWriter.write(String.format(\"Evaluation on test data - [Accuracy: %.3f, P: %.3f, R: %.3f, F1: %.3f] \",\r\n \t\t\teval.accuracy(), eval.precision(), eval.recall(), eval.f1()));\r\n \ttestWriter.write(eval.stats());\r\n \ttestWriter.write(eval.confusionToString());\r\n\r\n \t// Save test rates\r\n \tthis.f1_score = eval.f1();\r\n \tthis.recall_score = eval.recall();\r\n \tthis.accuracy_score = eval.accuracy();\r\n \tthis.precision_score = eval.precision();\r\n \tthis.falseNegativeRate_score = eval.falseNegativeRate();\r\n \tthis.falsePositiveRate_score = eval.falsePositiveRate();\r\n\r\n \tthis.f1.setText(\"F1 = \" + String.format(\"%.4f\", f1_score));\r\n \tthis.recall.setText(\"Recall = \" + String.format(\"%.4f\", recall_score));\r\n \tthis.accuracy.setText(\"Accuracy = \" + String.format(\"%.4f\", accuracy_score));\r\n \tthis.precision.setText(\"Precision = \" + String.format(\"%.4f\", precision_score));\r\n \tthis.falseNegativeRate.setText(\"False Negative Rate = \" + String.format(\"%.4f\", falseNegativeRate_score));\r\n \tthis.falsePositiveRate.setText(\"False Positive Rate = \" + String.format(\"%.4f\", falsePositiveRate_score));\r\n \r\n \ttestWriter.write(\"F1 = \" + String.format(\"%.4f\", f1_score));\r\n \ttestWriter.write(\"Recall = \" + String.format(\"%.4f\", recall_score));\r\n \ttestWriter.write(\"Accuracy = \" + String.format(\"%.4f\", accuracy_score));\r\n \ttestWriter.write(\"Precision = \" + String.format(\"%.4f\", precision_score));\r\n \ttestWriter.write(\"False Negative Rate = \" + String.format(\"%.4f\", falseNegativeRate_score));\r\n \ttestWriter.write(\"False Positive Rate = \" + String.format(\"%.4f\", falsePositiveRate_score));\r\n\r\n \tshowBarChart();\r\n \t} catch (IOException e) {\r\n \t\tSystem.err.println(\"Error while writing to log file\");\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n }", "@Test\n public void test05() throws Throwable {\n Vote vote0 = new Vote();\n String string0 = Evaluation.makeOptionString(vote0, true);\n assertEquals(\"\\n\\nGeneral options:\\n\\n-h or -help\\n\\tOutput help information.\\n-synopsis or -info\\n\\tOutput synopsis for classifier (use in conjunction with -h)\\n-t <name of training file>\\n\\tSets training file.\\n-T <name of test file>\\n\\tSets test file. If missing, a cross-validation will be performed\\n\\ton the training data.\\n-c <class index>\\n\\tSets index of class attribute (default: last).\\n-x <number of folds>\\n\\tSets number of folds for cross-validation (default: 10).\\n-no-cv\\n\\tDo not perform any cross validation.\\n-split-percentage <percentage>\\n\\tSets the percentage for the train/test set split, e.g., 66.\\n-preserve-order\\n\\tPreserves the order in the percentage split.\\n-s <random number seed>\\n\\tSets random number seed for cross-validation or percentage split\\n\\t(default: 1).\\n-m <name of file with cost matrix>\\n\\tSets file with cost matrix.\\n-l <name of input file>\\n\\tSets model input file. In case the filename ends with '.xml',\\n\\ta PMML file is loaded or, if that fails, options are loaded\\n\\tfrom the XML file.\\n-d <name of output file>\\n\\tSets model output file. In case the filename ends with '.xml',\\n\\tonly the options are saved to the XML file, not the model.\\n-v\\n\\tOutputs no statistics for training data.\\n-o\\n\\tOutputs statistics only, not the classifier.\\n-i\\n\\tOutputs detailed information-retrieval statistics for each class.\\n-k\\n\\tOutputs information-theoretic statistics.\\n-classifications \\\"weka.classifiers.evaluation.output.prediction.AbstractOutput + options\\\"\\n\\tUses the specified class for generating the classification output.\\n\\tE.g.: weka.classifiers.evaluation.output.prediction.PlainText\\n-p range\\n\\tOutputs predictions for test instances (or the train instances if\\n\\tno test instances provided and -no-cv is used), along with the \\n\\tattributes in the specified range (and nothing else). \\n\\tUse '-p 0' if no attributes are desired.\\n\\tDeprecated: use \\\"-classifications ...\\\" instead.\\n-distribution\\n\\tOutputs the distribution instead of only the prediction\\n\\tin conjunction with the '-p' option (only nominal classes).\\n\\tDeprecated: use \\\"-classifications ...\\\" instead.\\n-r\\n\\tOnly outputs cumulative margin distribution.\\n-xml filename \| xml-string\\n\\tRetrieves the options from the XML-data instead of the command line.\\n-threshold-file <file>\\n\\tThe file to save the threshold data to.\\n\\tThe format is determined by the extensions, e.g., '.arff' for ARFF \\n\\tformat or '.csv' for CSV.\\n-threshold-label <label>\\n\\tThe class label to determine the threshold data for\\n\\t(default is the first label)\\n\\nOptions specific to weka.classifiers.meta.Vote:\\n\\n-S <num>\\n\\tRandom number seed.\\n\\t(default 1)\\n-B <classifier specification>\\n\\tFull class name of classifier to include, followed\\n\\tby scheme options. May be specified multiple times.\\n\\t(default: \\\"weka.classifiers.rules.ZeroR\\\")\\n-D\\n\\tIf set, classifier is run in debug mode and\\n\\tmay output additional info to the console\\n-P <path to serialized classifier>\\n\\tFull path to serialized classifier to include.\\n\\tMay be specified multiple times to include\\n\\tmultiple serialized classifiers. Note: it does\\n\\tnot make sense to use pre-built classifiers in\\n\\ta cross-validation.\\n-R <AVG\|PROD\|MAJ\|MIN\|MAX\|MED>\\n\\tThe combination rule to use\\n\\t(default: AVG)\\n\\nSynopsis for weka.classifiers.meta.Vote:\\n\\nClass for combining classifiers. Different combinations of probability estimates for classification are available.\\n\\nFor more information see:\\n\\nLudmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc..\\n\\nJ. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.\", string0);\n }", "@Test(timeout = 4000)\n public void test05() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n naiveBayesMultinomialText0.m_useStopList = true;\n boolean boolean0 = naiveBayesMultinomialText0.getUseStopList();\n assertTrue(boolean0);\n }", "@Test(timeout = 4000)\n public void test22() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"bicax\");\n assertEquals(\"bicac\", string0);\n }", "@Test\n public void testGetSetTemperaturaInterior() {\n System.out.println(\"getSetTemperaturaInterior\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaInterior(expResult);\n double result = instance.getTemperaturaInterior();\n assertEquals(expResult, result, 0.0);\n }", "public boolean doEstimate(Node node, double[] result) {\r\n makeVector(node,tmpVector);\r\n try\r\n {\r\n double[] dist = classifier.distributionForInstance(testInstance);\r\n System.arraycopy(dist,0,result,0,dist.length);\r\n }\r\n catch(Exception e)\r\n {\r\n throw new RuntimeException(\"failed to estimate distribution for given node\",e);\r\n }\r\n return true;\r\n }", "@Test(timeout = 4000)\n public void test42() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"any addit inform that can help th reader. th first word should be capital.\");\n assertEquals(\"any addit inform that can help th reader. th first word should be capit.\", string0);\n }", "@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }", "@Test\n public void testIsReversible_IDoubleArray()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isReversible(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "private void changeAndVerifyRTQ(EditPlanDirectToManaged editPlanPage, Constants.RiskTolerance riskTolerance) throws Exception{\n String riskToleranceText;\n\n editPlanPage.clickOnRestartRTQ();\n\n switch(riskTolerance) {\n case CONSERVATIVE:\n riskToleranceText = \"Conservative\";\n editPlanPage.RTQConservativeSelection();\n break;\n case MODERATE:\n riskToleranceText = \"Moderate\";\n editPlanPage.RTQModerateSelection();\n break;\n case AGGRESSIVE:\n riskToleranceText = \"Aggressive\";\n editPlanPage.RTQAggressiveSelection();\n break;\n default:\n Reporter.log(\"Unable to check Risk Tolerance \" + riskTolerance.getString(), true);\n return;\n }\n\n Reporter.log(\"Finished RTQ for \" + riskToleranceText + \" Option\");\n\n softAssert.assertTrue(editPlanPage.verifyRiskTolerance(riskToleranceText));\n editPlanPage.clickNextBtn();\n softAssert.assertTrue(editPlanPage.verifySummaryPageRiskTolerance(riskToleranceText));\n\n checkInvestmentStrategies(editPlanPage, riskTolerance);\n // randomRetirementAgeSpotCheck(editPlanPage,riskTolerance);\n editPlanPage.updateRetirementAge(Constants.DEFAULT_RETIREMENT_AGE + \"\");\n }", "@Test(timeout = 4000)\n public void test29() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"bex\");\n assertEquals(\"bic\", string0);\n }", "@Test(timeout = 4000)\n public void test45() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"how someth strang ha been publ. th first word should be capital.\");\n assertEquals(\"how someth strang ha been publ. th first word should be capit.\", string0);\n }", "@Test\n public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "public void checkMovementZReset(ITestContext context) {\n Reporter.testStart();\n String caseFolder=context.getName()+\"/\";\n String importFile=context.getCurrentXmlTest().getParameter(\"importFile\");\n String expectationFile=context.getCurrentXmlTest().getParameter(\"expectationFile\");\n String methodName=Thread.currentThread().getStackTrace()[1].getMethodName();\n String screenWithinCase=caseFolder+methodName;\n MeshViewPage meshViewPage=new MeshViewPage(getWebDriverWrapper());\n if(meshViewPage.isThePage()){\n\n uploadDCM(meshViewPage,importFile);\n\n OrientationAdjustment oa= meshViewPage.clickOrientationAdjustment();\n Reporter.log(\"click Orientation Adjustment tab on left bar\");\n String text=\"0.1\";\n Reporter.log(\"select Movement step \"+text);\n Assert.assertEquals(oa.selectMovementStep(text),text,\"Cann't select \"+text);\n\n Integer clickTimes=30;\n String disResult=oa.clickDistanceMinus(clickTimes);\n embededScreenShot(screenWithinCase+\"_distance_\"+disResult,\"click Z minus(\"+clickTimes.toString()+\" times), get distance is \"+disResult);\n Assert.assertEquals(disResult,\"-3\",\"distance is not same as expected result\");\n\n clickTimes=10;\n disResult=oa.clickDistancePlus(clickTimes);\n String lower=embededScreenShot(screenWithinCase+\"_distance_\"+disResult,\"click Z plus(\"+clickTimes.toString()+\" times), get distance is \"+disResult);\n Assert.assertEquals(disResult,\"-2\",\"distance is not same as expected result\");\n\n disResult=oa.clickDistancePlus(clickTimes);\n String middle=embededScreenShot(screenWithinCase+\"_distance_\"+disResult,\"click Z plus(\"+clickTimes.toString()+\" times), get distance is \"+disResult);\n Assert.assertEquals(disResult,\"-1\",\"distance is not same as expected result\");\n\n disResult=oa.clickDistanceReset();\n String higher=embededScreenShot(screenWithinCase+\"_distance_\"+disResult,\"click Z reset(1 times), get distance is \"+disResult);\n Assert.assertEquals(disResult,\"0\",\"distance is not same as expected result\");\n\n embededCompareResult(lower,middle,higher, IComFolder.RESULT_ACTUAL_FOLDER +caseFolder, IComFolder.RESULT_EXPECTATION_FOLDER+expectationFile);\n\n }\n Reporter.testEnd();\n }", "public void testAct() {\n\t\tSystem.out.println(\"RothErevAgentTest.testAct()\");\n\t\tSystem.out.print(\"\tInitial: \");\n\t\tRELearner learner = agent.getLearner();\n\t\tREPolicy policy = learner.getPolicy();\n\t\tdouble[] probs = policy.getProbabilities();\n\t\tfor (int j = 0; j < probs.length; j++)\n\t\t\tSystem.out.print(probs[j] + \", \");\n\t\tSystem.out.println();\n\n\t\tSimpleAction<Integer> nextAction;\n\t\tint index;\n\n\t\tSimpleAction<Integer> benchmark_nextAction;\n\t\tint benchmark_index;\n\n\t\tfor (int i = 0; i < 100; i++) {\n\t\t\tnextAction = agent.chooseAction();\n\t\t\tindex = nextAction.getAct();\n\t\t\tagent.receiveFeedback(rewards[index]);\n\n\t\t\tbenchmark_nextAction = benchmark_learner.chooseAction();\n\t\t\tbenchmark_index = benchmark_nextAction.getAct();\n\t\t\tbenchmark_learner.update(rewards[benchmark_index]);\n\n\t\t\tassertEquals(index, benchmark_index);\n\t\t\tassertEquals(agent.getLearner().getUpdateCount(), i + 1);\n\n\t\t\tprobs = agent.getLearner().getPolicy().getProbabilities();\n\t\t\tSystem.out.print(\"\t\" + index + \"\t\");\n\t\t\tfor (int j = 0; j < probs.length; j++)\n\t\t\t\tSystem.out.print(probs[j] + \", \");\n\t\t\tSystem.out.println();\n\t\t}\n\t}", "@Test\n\tvoid testCalculateMarkTillSemesterSuccess3() {\n\t\n\t\tString semesterName = \"20193\";\n\t\t\n\t\tUser user = userService.findByUsername(\"B17DCCN123\");\n\t\tStudent student = user.getStudent();\n\t\tList<StudentResult> resultsTillSemester = resultService.findResultTillSemester(student.getId(),\n\t\t\t\tsemesterName);\n\t\t\n\t\tString tktMark = \"\";\n\t\t\n\t\tfor (StudentResult result : resultsTillSemester) {\n\t\t\tSubject subject = result.getStudentRegister().getCourse().getSubject();\n\t\t\tif (subject.getName().equals(\"Toán kinh tế\")) {\n\t\t\t\ttktMark = result.getMarkToChar();\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\t\n\t\tList<Object> listGpaResultsTillNow = MarkUtility.calculateMarkTillSemester(resultsTillSemester);\n\t\tint passedCreditsTillNow = (int) listGpaResultsTillNow.get(0);\n\t\tfloat gpaTillNow = (float) listGpaResultsTillNow.get(1);\n\t\t\n\t\tDecimalFormat df = new DecimalFormat(\"#.##\");\n\t\t\n\t\tassertTrue(\n\t\t\t\ttktMark.equals(\"C\") && \n\t\t\t\tpassedCreditsTillNow == 18 && \n\t\t\t\tdf.format(gpaTillNow).equals(\"3.19\")\n\t\t\t\t);\n\t}", "@Test(timeout = 4000)\n public void test22() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"lid\");\n assertEquals(\"lis\", string0);\n }", "@Test(timeout = 4000)\n public void test07() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"optyt\");\n assertEquals(\"optys\", string0);\n }", "public void testtuningDirection() {\n System.out.println(\"tuningDirection\");\n java.lang.String noteName = \"\";\n double frequency = 0.0;\n net.sharedmemory.tuner.Note instance = new net.sharedmemory.tuner.Note();\n int expectedResult = 0;\n int result = instance.tuningDirection(noteName,frequency);\n assertEquals(expectedResult, result);\n \n //TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test37() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"umpt\");\n assertEquals(\"um\", string0);\n }", "@Test\n public void testSolution() {\n assertArrayEquals(new int[]{3,2,1} , new Task().reverse3( new int[]{1, 2, 3}));\n assertArrayEquals(new int[]{5, 11, 9} , new Task().reverse3( new int[]{9, 11, 5}));\n assertArrayEquals(new int[]{7, 0, 0} , new Task().reverse3( new int[]{0, 0, 7}));\n assertArrayEquals(new int[]{2, 1, 2} , new Task().reverse3( new int[]{2, 1, 2}));\n assertArrayEquals(new int[]{1, 2, 1} , new Task().reverse3( new int[]{1, 2, 1}));\n assertArrayEquals(new int[]{2, 11, 3} , new Task().reverse3( new int[]{3, 11, 2}));\n assertArrayEquals(new int[]{7, 2, 3} , new Task().reverse3( new int[]{3, 2, 7}));\n\n }", "@Test(timeout = 4000)\n public void test33() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"umpt\");\n assertEquals(\"um\", string0);\n }", "@Test(timeout = 4000)\n public void test12() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"ond\");\n assertEquals(\"ons\", string0);\n }", "@Test(timeout = 4000)\n public void test12() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"ond\");\n assertEquals(\"ons\", string0);\n }", "@Test\n public void testDeterminante() {\n System.out.println(\"determinante\");\n Matrix matrix = null;\n double expResult = 0.0;\n double result = utilsHill.determinante(matrix);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n void testTitForTatWithHistoryDefect() {\r\n TitForTat testStrat = new TitForTat();\r\n AlwaysDefect testStrat2 = new AlwaysDefect();\r\n ArrayList<Integer> payoffs = new ArrayList<>(Arrays.asList(3, 5, 0, 1));\r\n Game game = new Game(testStrat, testStrat2, 2, payoffs);\r\n game.playGame();\r\n int points = testStrat.getPoints();\r\n assertEquals(points, 1, \"tit for tat not returning \"\r\n + \"correctly against defecting opponent\"); \r\n }", "@Test\r\n public void testCalculateNDM() {\r\n System.out.println(\"calculateNDM\");\r\n NDM instance = null;\r\n Double expResult = null;\r\n //Double result = instance.calculateNDM();\r\n //assertEquals(expResult, result);\r\n // TODO review the generated test code and remove the default call to fail.\r\n //fail(\"The test case is a prototype.\");\r\n }", "@Test(timeout = 4000)\n public void test13() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"weka.core.stemmers.lovinsstemmerpher\");\n assertEquals(\"weka.core.stemmers.lovinsstemmerpher\", string0);\n }", "@Test(timeout = 4000)\n public void test21() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"erid\");\n assertEquals(\"eris\", string0);\n }", "@Test(timeout = 4000)\n public void test11() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"rud\");\n assertEquals(\"rus\", string0);\n }", "@Test\r\n void testTitForTatWithHistoryCooperate() {\r\n TitForTat testStrat = new TitForTat();\r\n AlwaysCooperate testStrat2 = new AlwaysCooperate();\r\n ArrayList<Integer> payoffs = new ArrayList<>(Arrays.asList(3, 5, 0, 1));\r\n Game game = new Game(testStrat, testStrat2, 2, payoffs);\r\n game.playGame();\r\n int points = testStrat.getPoints();\r\n assertEquals(points, 6, \"tit for tat not returning correctly \"\r\n + \"against cooperating opponent\"); \r\n }", "@Test(timeout = 4000)\n public void test35() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"istr\");\n assertEquals(\"ister\", string0);\n }", "@Test(timeout = 4000)\n public void test156() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(50, 50);\n resultMatrixLatex0.m_ShowAverage = false;\n resultMatrixLatex0.m_ShowStdDev = true;\n boolean[] booleanArray0 = new boolean[5];\n booleanArray0[0] = false;\n booleanArray0[1] = false;\n resultMatrixLatex0.m_StdDevWidth = (-3085);\n booleanArray0[2] = true;\n resultMatrixLatex0.setPrintColNames(true);\n booleanArray0[3] = true;\n resultMatrixLatex0.setStdDevWidth((-1));\n booleanArray0[4] = true;\n resultMatrixLatex0.m_RowHidden = booleanArray0;\n resultMatrixLatex0.getDefaultEnumerateColNames();\n resultMatrixLatex0.colNameWidthTipText();\n resultMatrixLatex0.setPrintRowNames(false);\n resultMatrixLatex0.removeFilterName(\"\");\n resultMatrixLatex0.padString(\"\", 0, false);\n ResultMatrixSignificance resultMatrixSignificance0 = null;\n try {\n resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 5\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test(timeout = 4000)\n public void test27() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"weka.core.stemmers.lovinsstemmerpex\");\n assertEquals(\"weka.core.stemmers.lovinsstemmerpic\", string0);\n }", "@Test\n public void testCalcProbTheta() throws Exception {\n\n double guessProb1 = ItemResponseTheory.calcProbTheta(c, lambda, theta1, alpha1);\n double guessProb2 = ItemResponseTheory.calcProbTheta(c, lambda, theta2, alpha1);\n double guessProb3 = ItemResponseTheory.calcProbTheta(c, lambda, theta3, alpha1);\n double guessProb4 = ItemResponseTheory.calcProbTheta(c, lambda, theta4, alpha1);\n double guessProb5 = ItemResponseTheory.calcProbTheta(c, lambda, theta5, alpha1);\n double guessProb6 = ItemResponseTheory.calcProbTheta(c, lambda, theta6, alpha1);\n double guessProb7 = ItemResponseTheory.calcProbTheta(c, lambda, theta7, alpha1);\n\n double ans1 = 0.2;\n double ans2 = 0.21;\n double ans3 = 0.23;\n double ans4 = 0.3;\n double ans5 = 0.47;\n double ans6 = 0.73;\n double ans7 = 0.9;\n\n double tolerance = 0.005;\n\n assertTrue(\"Prob(theta1)\", Math.abs(guessProb1 - ans1)< tolerance);\n assertTrue(\"Prob(theta2)\", Math.abs(guessProb2 - ans2) < tolerance);\n assertTrue(\"Prob(theta3)\", Math.abs(guessProb3 - ans3) < tolerance);\n assertTrue(\"Prob(theta4)\", Math.abs(guessProb4 - ans4) < tolerance);\n assertTrue(\"Prob(theta5)\", Math.abs(guessProb5 - ans5) < tolerance);\n assertTrue(\"Prob(theta6)\", Math.abs(guessProb6 - ans6) < tolerance);\n assertTrue(\"Prob(theta7)\", Math.abs(guessProb7 - ans7) < tolerance);\n\n }", "@Test\r\n public void testGetNDMValues() {\r\n System.out.println(\"getNDMValues\");\r\n NDM instance = null;\r\n Vector<Double> expResult = null;\r\n //Vector<Double> result = instance.getNDMValues();\r\n //assertEquals(expResult, result);\r\n // TODO review the generated test code and remove the default call to fail.\r\n //fail(\"The test case is a prototype.\");\r\n }", "@Test(timeout = 4000)\n public void test33() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"olv\");\n assertEquals(\"olut\", string0);\n }", "@Test\n\tpublic void testSetTariefBehandeling(){\n\t\tdouble expResult = 10;\n\t\tinstance.setTariefBehandeling(10);\n\t\tassertTrue(expResult == instance.getTariefBehandeling());\n\t}", "@Test\n public void testCalcMedAmount() {\n \n //Test case 1\n \n System.out.println(\"calcMedAmount Test Case 1 - Dose is correct\");\n \n //Input Values for Test Case 1\n \n double weightInPounds = 100;\n double numberOfPills = 1;\n \n AntidoteControl instance = new AntidoteControl();\n \n double expResult = 227;\n double result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 2\n \n System.out.println(\"calcMedAmount Test Case 2 Invalid weight\");\n \n //Input Values for Test Case 2\n \n weightInPounds = 0;\n numberOfPills = 1;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = -1;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 3\n \n System.out.println(\"calcMedAmount Test Case 3 Underdose\");\n \n //Input Values for Test Case 3\n \n weightInPounds = 10001;\n numberOfPills = 0;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = -2;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 4\n \n System.out.println(\"calcMedAmount Test Case 4 Overdose\");\n \n //Input Values for Test Case 4\n \n weightInPounds = 100;\n numberOfPills = 4;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = 227;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "public double mo3937t(double m, double mu, double v, double n) {\r\n return (m - mu) / FastMath.sqrt(v / n);\r\n }", "@Test(timeout = 4000)\n public void test17() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"invalid CVS re5iion - not enough parts separatedby dots!\");\n assertEquals(\"invalis cv re5i - not enough part separatedb dot!\", string0);\n }", "@Test\n\tpublic void test() {\n\t\tdouble delta = 0.00001;\n\t\tSnp fakeSnp1 = new Snp(\"fakeId1\", 0, 0.3);\n\t\tSnp fakeSnp2 = new Snp(\"fakeId2\", 0, 0.8);\n\t\tSnp fakeSnp3 = new Snp(\"fakeId3\", 0, 1.4);\n\t\tPascal.set.withZScore_=true;\n\t\tArrayList<Snp> geneSnps = new ArrayList<Snp>();\n\t\tgeneSnps.add(fakeSnp1);geneSnps.add(fakeSnp2);geneSnps.add(fakeSnp3);\n\t\tDenseMatrix ld= new DenseMatrix(3,3);\n\t\t//DenseMatrix crossLd= new DenseMatrix(3,2);\n\t\t\n\t\tArrayList<Double> snpScores = new ArrayList<Double>(3);\n\t\tsnpScores.add(fakeSnp1.getZscore());\n\t\tsnpScores.add(fakeSnp2.getZscore());\n\t\tsnpScores.add(fakeSnp3.getZscore());\n\t\t//ld and crossLd calculated as follows:\n\t\t// make 0.9-toeplitz mat of size 5.\n\t\t// 3,4,5 for ld-mat\n\t\t// 1,2 for crossLd-mat\n\t\tld.set(0,0,1);ld.set(1,1,1);ld.set(2,2,1);\n\t\tld.set(0,1,0.9);ld.set(1,2,0.9);\n\t\tld.set(1,0,0.9);ld.set(2,1,0.9);\n\t\tld.set(0,2,0.81);\n\t\tld.set(2,0,0.81);\n\t\tdouble[] weights = {2,2,2};\n\t\tAnalyticVegas myAnalyticObj= null;\n\t\t//UpperSymmDenseMatrix myMatToDecompose = null;\n\t\tdouble[] myEigenvals = null;\n\t\tdouble[] emptyWeights = {1,1,1};\n\t\tmyAnalyticObj= new AnalyticVegas(snpScores, ld, emptyWeights);\n\t\tmyAnalyticObj.computeScore();\n\t\tmyEigenvals = myAnalyticObj.computeLambda();\n\t\tassertEquals(myEigenvals[0],2.74067, delta);\n\t\tassertEquals(myEigenvals[1],0.1900, delta);\n\t\tassertEquals(myEigenvals[2],0.06932, delta);\n\t\t\n\t\tmyAnalyticObj= new AnalyticVegas(snpScores, ld, weights);\n\t\tmyAnalyticObj.computeScore();\n\t\tmyEigenvals = myAnalyticObj.computeLambda();\t\t\t\n\t\tassertEquals(myEigenvals[0], 5.481348, delta);\n\t\tassertEquals(myEigenvals[1],0.380000, delta);\n\t\tassertEquals(myEigenvals[2],0.138652, delta);\n\t\t\t\n\t\tdouble[] weights2 = {1,2,0.5};\n\t\t\n\t\tmyAnalyticObj= new AnalyticVegas(snpScores, ld, weights2);\n\t\tmyAnalyticObj.computeScore();\n\t\tmyEigenvals = myAnalyticObj.computeLambda();\t\t\n\t\tassertEquals(myEigenvals[0],3.27694674, delta);\n\t\tassertEquals(myEigenvals[1],0.1492338, delta);\n\t\tassertEquals(myEigenvals[2],0.07381938, delta);\t\t\t\n\t\t\n\t}", "@Test\r\n\tpublic void calculMetricInferiorTeacherBetterScoreButNoLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(25f, 1f), 12f, 13f), new Float(0));\r\n\t}", "@Test\n public void testTrain() {\n System.out.println(\"train\");\n TokenizedLine tokenizedLine = null;\n ArrayList<Words> expResult = null;\n ArrayList<Words> result = Training.train(tokenizedLine);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n \n }", "@Test(timeout = 4000)\n public void test15() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"bookletlud\");\n assertEquals(\"bookletlus\", string0);\n }", "@Test(timeout = 4000)\n public void test35() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"iev\");\n assertEquals(\"ief\", string0);\n }", "@Test\n public void test03() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[19];\n evaluation0.updateMargins(doubleArray0, 0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test\n public void testCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.correlation(M, observable1, observable2, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test23() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"tex\");\n assertEquals(\"tic\", string0);\n }", "@Test(timeout = 4000)\n public void test26() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"bex\");\n assertEquals(\"bic\", string0);\n }", "@Test\n\tvoid testCalculateMarkTillSemesterSuccess2() {\n\t\t\n\t\tString semesterName = \"20193\";\n\t\t\n\t\tUser user = userService.findByUsername(\"B16DCCN168\");\n\t\tStudent student = user.getStudent();\n\t\tList<StudentResult> resultsTillSemester = resultService.findResultTillSemester(student.getId(),\n\t\t\t\tsemesterName);\n\t\t\n\t\tString mmtMark = \"\", tthcmMark = \"\";\n\t\t\n\t\tfor (StudentResult result : resultsTillSemester) {\n\t\t\tSubject subject = result.getStudentRegister().getCourse().getSubject();\n\t\t\tif (subject.getName().equals(\"Mạng máy tính\")) {\n\t\t\t\tmmtMark = result.getMarkToChar();\n\t\t\t}\n\t\t\t\n\t\t\tif (subject.getName().equals(\"Tư tưởng Hồ Chí Minh\")) {\n\t\t\t\ttthcmMark = result.getMarkToChar();\n\t\t\t}\n\t\t}\n\t\t\n\t\tList<Object> listGpaResultsTillNow = MarkUtility.calculateMarkTillSemester(resultsTillSemester);\n\t\tint passedCreditsTillNow = (int) listGpaResultsTillNow.get(0);\n\t\tfloat gpaTillNow = (float) listGpaResultsTillNow.get(1);\n\t\t\n\t\tDecimalFormat df = new DecimalFormat(\"#.##\");\n\t\t\n\t\tassertTrue(\n\t\t\t\tmmtMark.equals(\"B\") &&\n\t\t\t\ttthcmMark.equals(\"A\") &&\n\t\t\t\tpassedCreditsTillNow == 15 &&\n\t\t\t\tdf.format(gpaTillNow).equals(\"3.64\")\n\t\t\t\t);\n\t}", "@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }" ]	[ "0.7777899", "0.71122175", "0.6275401", "0.57914376", "0.5741144", "0.5736739", "0.56762874", "0.5359849", "0.53146034", "0.52791756", "0.5216847", "0.5206894", "0.5188977", "0.51741564", "0.51591563", "0.51108354", "0.50677824", "0.5059931", "0.5049377", "0.5045009", "0.50205505", "0.5012842", "0.50120497", "0.48925406", "0.48893425", "0.48850164", "0.48752436", "0.48672235", "0.485704", "0.48339462", "0.48269072", "0.48250562", "0.48064935", "0.48056257", "0.4790526", "0.47785386", "0.47634876", "0.47556332", "0.47521618", "0.47475073", "0.4744007", "0.47363928", "0.4735563", "0.47345084", "0.4727815", "0.47262007", "0.4721935", "0.471396", "0.47118413", "0.47001627", "0.46962726", "0.46943465", "0.46926627", "0.46918368", "0.46917436", "0.46893322", "0.46867558", "0.4686548", "0.46823865", "0.4681476", "0.4677629", "0.46773902", "0.46755144", "0.46735057", "0.4666248", "0.4664353", "0.46634322", "0.4662994", "0.46603757", "0.4660232", "0.4660232", "0.4652977", "0.46487153", "0.4647938", "0.46463606", "0.46460757", "0.46455273", "0.46450496", "0.46418178", "0.46402192", "0.46309692", "0.46301454", "0.46253392", "0.46217483", "0.46210736", "0.46199638", "0.4615485", "0.46150342", "0.4602635", "0.4601909", "0.45974165", "0.4592892", "0.45914847", "0.45896876", "0.4589372", "0.45882154", "0.45825446", "0.45787075", "0.45783955", "0.4577194" ]	0.6711455	2
Test of estimateTrev method, of class MarkovModelUtilities.	@Test public void testEstimateTrev_IDoubleArray_IDoubleArray() { IDoubleArray counts = null; IDoubleArray piFixed = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.estimateTrev(counts, piFixed); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testEstimateTrev_IDoubleArray()\n {\n double[][] C = {\n {10,5,1},\n {1,7,4},\n {5,7,25}};\n double[][] Tref = {\n {0.625, 0.23689343769530435, 0.13810656230469573},\n {0.18414208307292756, 0.5833333333333334, 0.23252458359373912},\n {0.10244040548986129, 0.22188391883446298, 0.6756756756756757}};\n \n IDoubleArray counts = Doubles.create.array(C);\n IDoubleArray expResult = Doubles.create.array(Tref);\n IDoubleArray result = MarkovModel.util.estimateTrev(counts);\n DoubleArrayTest.assertEqual(result, expResult, 1e-4);\n // TODO review the generated test code and remove the default call to fail.\n }", "@Test\n public void testStationaryDistributionRevQuick()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.stationaryDistributionRevQuick(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testPerturbationExpectation()\n {\n IDoubleArray M = null;\n IDoubleArray pi0 = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.perturbationExpectation(M, pi0, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testBackwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.backwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testStationaryDistribution()\n {\n try\n {\n IDoubleArray T = Doubles.create.fromFile(inputT1);\n IDoubleArray expResult = Doubles.create.fromFile(inputT1_pi); \n IDoubleArray pi = MarkovModel.util.stationaryDistribution(T);\n assertEqual(pi, expResult, 1e-5);\n }\n catch(IOException e)\n {\n \n e.printStackTrace();\n }\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "public double tTest(double m, double mu, double v, double n) throws MaxCountExceededException, MathIllegalArgumentException {\r\n return 2.0d * new TDistribution((RandomGenerator) null, n - 1.0d).cumulativeProbability(-FastMath.abs(mo3937t(m, mu, v, n)));\r\n }", "@Test\n public void testGetSetTemperaturaExterior() {\n System.out.println(\"getSetTemperaturaExterior\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExterior(expResult);\n double result = instance.getTemperaturaExterior();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public abstract int predict(double[] testingData);", "@Test\n public void testGetSetTemperaturaExteriorMaxima() {\n System.out.println(\"getSetTemperaturaExteriorMaxima\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMaxima(expResult);\n double result = instance.getTemperaturaExteriorMaxima();\n assertEquals(expResult, result, 0.0);\n }", "@LargeTest\n public void testVignetteApproximateRelaxed() {\n TestAction ta = new TestAction(TestName.VIGNETTE_APPROXIMATE_RELAXED);\n runTest(ta, TestName.VIGNETTE_APPROXIMATE_RELAXED.name());\n }", "@Test\n public void testGetSetTemperaturaExteriorMinima() {\n System.out.println(\"getSetTemperaturaExteriorMinima\");\n double expResult = 10.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMinima(expResult);\n double result = instance.getTemperaturaExteriorMinima();\n assertEquals(expResult, result, 0.0);\n }", "public double tTest(double m1, double m2, double v1, double v2, double n1, double n2) throws MaxCountExceededException, NotStrictlyPositiveException {\r\n return 2.0d * new TDistribution((RandomGenerator) null, mo3926df(v1, v2, n1, n2)).cumulativeProbability(-FastMath.abs(mo3938t(m1, m2, v1, v2, n1, n2)));\r\n }", "public void predict(String testFileName) throws IOException, InvalidInputException{\r\n BufferedReader reader = new BufferedReader(new FileReader(testFileName));\r\n if(reader.toString().length() == 0){\r\n throw new InvalidInputException(\"Invalid input file! File is empty!\");\r\n }\r\n\r\n int index = 0;\r\n Vector<Double> actuals = new Vector<>();\r\n Vector<Double> predicts = new Vector<>();\r\n while(true) {\r\n String line = reader.readLine();\r\n if (line == null)\r\n break;\r\n\r\n StringTokenizer st = new StringTokenizer(line, \" \\t\\n\\r\\f:\");\r\n\r\n double target = Utils.toDouble(st.nextToken());\r\n int m = st.countTokens() / 2;\r\n svm_node[] x = new svm_node[m];\r\n for (int j = 0; j < m; j++) {\r\n x[j] = new svm_node();\r\n x[j].index = Utils.toInt(st.nextToken());\r\n x[j].value = Utils.toDouble(st.nextToken());\r\n }\r\n double v;\r\n v = svm.svm_predict(this.model, x);\r\n\r\n actuals.add(index, target);\r\n predicts.add(index, v);\r\n\r\n System.out.println(\"[\" + index + \"] Prediction:\" + v + \", actual:\" + target);\r\n index += 1;\r\n }\r\n Metrices me = new Metrices(Utils.toDoubleArray(predicts), Utils.toDoubleArray(actuals), predicts.size());\r\n System.out.println(\"RMSE: \" + me.getRMSE());\r\n }", "@Test\n public void testEstimateCstepping_Iterable_int()\n {\n Iterable<IIntArray> trajs = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCstepping(trajs, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testLogLikelihood()\n {\n IDoubleArray T = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihood(T, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testHasTemperaturaVariation() {\n System.out.println(\"hasTemperaturaVariation\");\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n boolean expResult = true;\n instance.setHasTemperaturaVariation(expResult);\n boolean result = instance.hasTemperaturaVariation();\n assertEquals(expResult, result);\n }", "@Test\n\tpublic void testTGetY() {\n\t\tassertEquals(0, tank.getY());\n\t}", "@Test\n public void testAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.autocorrelation(M, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testPerformReverseStep_reverseThenAltAtInit() throws IOException {\n initializeTestWithModelPath(\"models/even_odd.als\");\n String dotString1 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1 -> S2\",\n \"\\tS2 -> S3\",\n \"\\tS3\",\n \"}\",\n \"\"\n );\n String dotString2 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1 -> S2\",\n \"\\tS2 -> S3\",\n \"\\tS3\",\n \"\\tS4\",\n \"}\",\n \"\"\n );\n String dotString3 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1 -> S2\",\n \"\\tS2 -> S3\",\n \"\\tS3\",\n \"\\tS4 -> S5\",\n \"\\tS5\",\n \"}\",\n \"\"\n );\n String state1 = String.join(\"\\n\",\n \"\",\n \"S1\",\n \"----\",\n \"i: { 0 }\",\n \"\"\n );\n String state2 = String.join(\"\\n\",\n \"\",\n \"S4\",\n \"----\",\n \"i: { 1 }\",\n \"\"\n );\n String state3 = String.join(\"\\n\",\n \"\",\n \"S5\",\n \"----\",\n \"i: { 3 }\",\n \"\"\n );\n String history = String.join(\"\\n\",\n \"\",\n \"S4 (-1)\",\n \"---------\",\n \"i: { 1 }\",\n \"\"\n );\n\n assertTrue(sm.initialize(modelFile, false));\n assertTrue(sm.performStep(2));\n sm.performReverseStep(2);\n assertEquals(state1, sm.getCurrentStateString());\n assertEquals(\"\", sm.getHistory(3));\n assertEquals(dotString1, sm.getDOTString());\n\n assertTrue(sm.selectAlternatePath(false));\n assertEquals(state2, sm.getCurrentStateString());\n assertEquals(\"\", sm.getHistory(3));\n assertEquals(dotString2, sm.getDOTString());\n\n assertTrue(sm.performStep(1));\n assertEquals(state3, sm.getCurrentStateString());\n assertEquals(history, sm.getHistory(3));\n assertEquals(dotString3, sm.getDOTString());\n }", "@Test\n public void testEstimateC_Iterable_int()\n {\n Iterable<IIntArray> trajs = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateC(trajs, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testPerformReverseStep_altThenReverseToInit() throws IOException {\n initializeTestWithModelPath(\"models/even_odd.als\");\n String dotString1 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1\",\n \"\\tS2 -> S3\",\n \"\\tS3 -> S4\",\n \"\\tS4\",\n \"}\",\n \"\"\n );\n String dotString2 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1\",\n \"\\tS2 -> S3\",\n \"\\tS3 -> S4\",\n \"\\tS4 -> S5\",\n \"\\tS5\",\n \"}\",\n \"\"\n );\n String state1 = String.join(\"\\n\",\n \"\",\n \"S2\",\n \"----\",\n \"i: { 1 }\",\n \"\"\n );\n String state2 = String.join(\"\\n\",\n \"\",\n \"S5\",\n \"----\",\n \"i: { 7 }\",\n \"\"\n );\n String history = String.join(\"\\n\",\n \"\",\n \"S2 (-3)\",\n \"---------\",\n \"i: { 1 }\",\n \"\",\n \"S3 (-2)\",\n \"---------\",\n \"i: { 3 }\",\n \"\",\n \"S4 (-1)\",\n \"---------\",\n \"i: { 5 }\",\n \"\"\n );\n\n assertTrue(sm.initialize(modelFile, false));\n assertTrue(sm.selectAlternatePath(false));\n assertTrue(sm.performStep(2));\n sm.performReverseStep(2);\n assertEquals(state1, sm.getCurrentStateString());\n assertEquals(\"\", sm.getHistory(3));\n assertEquals(dotString1, sm.getDOTString());\n\n assertTrue(sm.performStep(3));\n assertEquals(state2, sm.getCurrentStateString());\n assertEquals(history, sm.getHistory(4));\n assertEquals(dotString2, sm.getDOTString());\n }", "public void evaluate(String sampleFile, String featureDefFile, int nFold, float tvs, String modelDir, String modelFile) {\n/* 854 / List<List<RankList>> trainingData = new ArrayList<>();\n/ 855 / List<List<RankList>> validationData = new ArrayList<>();\n/ 856 / List<List<RankList>> testData = new ArrayList<>();\n/ / \n/ / \n/ / \n/ 860 / List<RankList> samples = readInput(sampleFile);\n/ / \n/ / \n/ 863 / int[] features = readFeature(featureDefFile);\n/ 864 / if (features == null) {\n/ 865 / features = FeatureManager.getFeatureFromSampleVector(samples);\n/ / }\n/ 867 / FeatureManager.prepareCV(samples, nFold, tvs, trainingData, validationData, testData);\n/ / \n/ / \n/ 870 / if (normalize)\n/ / {\n/ 872 / for (int j = 0; j < nFold; j++) {\n/ / \n/ 874 / normalizeAll(trainingData, features);\n/ 875 / normalizeAll(validationData, features);\n/ 876 / normalizeAll(testData, features);\n/ / } \n/ / }\n/ / \n/ 880 / Ranker ranker = null;\n/ 881 / double scoreOnTrain = 0.0D;\n/ 882 / double scoreOnTest = 0.0D;\n/ 883 / double totalScoreOnTest = 0.0D;\n/ 884 / int totalTestSampleSize = 0;\n/ / \n/ 886 / double[][] scores = new double[nFold][]; int i;\n/ 887 / for (i = 0; i < nFold; i++) {\n/ 888 / (new double[2])[0] = 0.0D; (new double[2])[1] = 0.0D; scores[i] = new double[2];\n/ 889 / } for (i = 0; i < nFold; i++) {\n/ / \n/ 891 / List<RankList> train = trainingData.get(i);\n/ 892 / List<RankList> vali = null;\n/ 893 / if (tvs > 0.0F)\n/ 894 / vali = validationData.get(i); \n/ 895 / List<RankList> test = testData.get(i);\n/ / \n/ 897 / RankerTrainer trainer = new RankerTrainer();\n/ 898 / ranker = trainer.train(this.type, train, vali, features, this.trainScorer);\n/ / \n/ 900 / double s2 = evaluate(ranker, test);\n/ 901 / scoreOnTrain += ranker.getScoreOnTrainingData();\n/ 902 / scoreOnTest += s2;\n/ 903 / totalScoreOnTest += s2 test.size();\n/* 904 / totalTestSampleSize += test.size();\n/ / \n/ / \n/ 907 / scores[i][0] = ranker.getScoreOnTrainingData();\n/ 908 / scores[i][1] = s2;\n/ / \n/ / \n/ 911 / if (!modelDir.isEmpty()) {\n/ / \n/ 913 / ranker.save(FileUtils.makePathStandard(modelDir) + \"f\" + (i + 1) + \".\" + modelFile);\n/ 914 / System.out.println(\"Fold-\" + (i + 1) + \" model saved to: \" + modelFile);\n/ / } \n/ / } \n/ 917 / System.out.println(\"Summary:\");\n/ 918 / System.out.println(this.testScorer.name() + \"\\t\| Train\\t\| Test\");\n/ 919 / System.out.println(\"----------------------------------\");\n/ 920 / for (i = 0; i < nFold; i++)\n/ 921 / System.out.println(\"Fold \" + (i + 1) + \"\\t\| \" + SimpleMath.round(scores[i][0], 4) + \"\\t\| \" + SimpleMath.round(scores[i][1], 4) + \"\\t\"); \n/ 922 / System.out.println(\"----------------------------------\");\n/ 923 / System.out.println(\"Avg.\\t\| \" + SimpleMath.round(scoreOnTrain / nFold, 4) + \"\\t\| \" + SimpleMath.round(scoreOnTest / nFold, 4) + \"\\t\");\n/ 924 / System.out.println(\"----------------------------------\");\n/ 925 / System.out.println(\"Total\\t\| \\t\\t\| \" + SimpleMath.round(totalScoreOnTest / totalTestSampleSize, 4) + \"\\t\");\n/ / }", "@Test\n public void testGetTemperaturaInteriorAlvo() {\n System.out.println(\"getSetTemperaturaInteriorAlvo\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaInteriorAlvo(expResult);\n double result = instance.getTemperaturaInteriorAlvo();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void testEstimateCstepping_IIntArray_int()\n {\n IIntArray traj = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCstepping(traj, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void testRepeatibleDynamics() throws IOException, PropertiesException {\n\n\t\t\n\t\t// INSTANTIATE benchmark \n\t\tProperties props = PropertiesUtil.setpointProperties(new File (\"src/main/resources/sim.properties\"));\n\t\tSetPointGenerator lg = new SetPointGenerator (props);\n\t\tList<ExternalDriver> externalDrivers = new ArrayList<ExternalDriver>();\n\t\texternalDrivers.add(lg);\n\t\tIndustrialBenchmarkDynamics d = new IndustrialBenchmarkDynamics (props, externalDrivers);\n\t\tRandom actionRand = new Random(System.currentTimeMillis());\n \n // 1) do 100000 random steps, in order to initialize dynamics\n\t\tfinal ActionDelta action = new ActionDelta(0.001f, 0.001f, 0.001f); \n\t\tfor (int i=0; i<INIT_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t}\n\t\t\n\t\t// 2) memorize current observable state and current markov state\n\t\tfinal ObservableState os = d.getState();\n\t\tfinal DataVector ms = d.getInternalMarkovState();\n\t\tSystem.out.println (\"init o-state: \" + os.toString());\n\t\tSystem.out.println (\"init m-state: \" + ms.toString());\n\t\t\n\t\t\n\t\t// 3) perform test trajectory and memorize states\n\t\tactionRand.setSeed(ACTION_SEED);\n\t\tDataVector oStates[] = new DataVector[MEM_STEPS];\n\t\tDataVector mStates[] = new DataVector[MEM_STEPS];\n\t\t\t\t\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t\toStates[i] = d.getState();\n\t\t\tmStates[i] = d.getInternalMarkovState();\n\t\t}\n\t\t\n\t\t// 4) reset dynamics & parameters and internal markov state\n\t\td.reset();\n\t\td.setInternalMarkovState(ms);\n\t\t\n\t\t// 5) reperform test and check if values are consistent\n\t\tactionRand.setSeed(ACTION_SEED); // reproduce action sequence\n\t\tDataVector oState = null;\n\t\tDataVector mState = null;\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\t\n\t\t\td.step(action);\n\t\t\toState = d.getState();\n\t\t\tmState = d.getInternalMarkovState();\n\t\t\t\n\t\t\t// check observable state\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.SetPoint), oState.getValue(ObservableStateDescription.SetPoint), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Fatigue), oState.getValue(ObservableStateDescription.Fatigue), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Consumption), oState.getValue(ObservableStateDescription.Consumption), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.RewardTotal), oState.getValue(ObservableStateDescription.RewardTotal), 0.0001);\n\n\t\t\t// \n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.CurrentOperationalCost), mState.getValue(MarkovianStateDescription.CurrentOperationalCost), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent2), mState.getValue(MarkovianStateDescription.FatigueLatent2), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent1), mState.getValue(MarkovianStateDescription.FatigueLatent1), 0.0001);\n\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionGainBeta), mState.getValue(MarkovianStateDescription.EffectiveActionGainBeta), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), mState.getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveShift), mState.getValue(MarkovianStateDescription.EffectiveShift), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.MisCalibration), mState.getValue(MarkovianStateDescription.MisCalibration), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), mState.getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardFatigue), mState.getValue(MarkovianStateDescription.RewardFatigue), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardConsumption), mState.getValue(MarkovianStateDescription.RewardConsumption), 0.0001);\n\t\t}\n\t\t\n\t\tSystem.out.println (\"last o-state 1st trajectory: \" + oStates[oStates.length-1]);\n\t\tSystem.out.println (\"last o-state 2nd trajectory: \" + oState);\n\t\t\n\t\tSystem.out.println (\"last m-state 1st trajectory: \" + mStates[oStates.length-1]);\n\t\tSystem.out.println (\"last m-state 2nd trajectory: \" + mState);\n\t}", "@Test(timeout = 4000)\n public void test34() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"Induction of decision trees\");\n assertEquals(\"induc of decis tree\", string0);\n }", "@Test\r\n public void testCalcularPosicionInvertida() {\r\n System.out.println(\"calcularPosicionInvertida\");\r\n int saltos = 41;\r\n int inicio = 8;\r\n int expResult = 5;\r\n int result = Cifrado.calcularPosicionInvertida(saltos, inicio);\r\n assertEquals(expResult, result);\r\n \r\n }", "@Test(timeout = 4000)\n public void test54() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"Induction of decision trees\");\n assertEquals(\"induc of decis tree\", string0);\n }", "@Test\n public void testEstimateCmilestoning_3args_2()\n {\n IIntArray traj = null;\n Iterable<IIntArray> cores = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCmilestoning(traj, cores, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n\tpublic void calculMetricInferiorTeacherWithLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(10f, 1f), 12f, 15f), new Float(1));\r\n\t}", "@Test\n public void testEstimateCmilestoning_3args_1()\n {\n Iterable<IIntArray> trajs = null;\n Iterable<IIntArray> cores = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCmilestoning(trajs, cores, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n @Order(8)\n void taillardTestMoreIterations() {\n try {\n\n for (int i = 0; i < SearchTestUtil.taillardFilenames.length; i++) {\n int output;\n float sumTabu = 0;\n int minTabu = Integer.MAX_VALUE;\n float sumRecuit = 0;\n int minRecuit = Integer.MAX_VALUE;\n System.out.println(\"Run#\" + SearchTestUtil.taillardFilenames[i]);\n assignementProblem.taillardInitializer(SearchTestUtil.taillardFilenames[i]);\n assignementProblem.setNeighborsFunction(NEIGHBORHOOD_TYPE, assignementProblem.getAssignmentData().getLength());\n for (int j = 0; j < 10; j++) {\n assignementProblem.setInCombination(Combination.generateRandom(assignementProblem.getAssignmentData().getLength()));\n\n System.out.println(\"\\n \\t Test#\"+j);\n executeAlgo(SearchTestUtil.ALGO.TABU);\n output = assignementProblem.getF().apply(assignementProblem.getOutCombination());\n sumTabu += output;\n if (output < minTabu) minTabu = output;\n\n executeAlgo(SearchTestUtil.ALGO.RECUIT);\n output = assignementProblem.getF().apply(assignementProblem.getOutCombination());\n sumRecuit += output;\n if (output < minRecuit) minRecuit = output;\n }\n\n\n System.out.println(\"\\tAverage tabu \" + sumTabu / 10);\n System.out.println(\"\\tMinimum found \" + minTabu);\n\n System.out.println(\"\\tAverage recuit \" + sumRecuit / 10);\n System.out.println(\"\\tMinimum found \" + minRecuit);\n\n }\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "@Test\n public void testFingerprintPerturbation()\n {\n IDoubleArray M = null;\n IDoubleArray p0 = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintPerturbation(M, p0, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void testGetTariefBehandeling(){\n\t\tdouble expResult = 89.50;\n\t\tassertTrue(expResult == instance.getTariefBehandeling());\n\t}", "public static void runMarginPerceptron(Data[] data, int index,String testFileName,HashMap<Integer,Integer> words)\r\n{\r\n int t=0;\r\n double LearningRates[] = {1, 0.1, 0.01};\r\n double Margins[] = {1, 0.1, 0.01};\r\n\r\n\tint minInt =0; // Set To Your Desired Min Value\r\n int maxInt =2;\r\n\tRandom rand = new Random();\r\n\t\r\n \tint randomNum = rand.nextInt((maxInt - minInt) + 1) + minInt;\r\n\r\n \tdouble LearningRate = LearningRates[randomNum];\r\n \t\r\nfor(int m=0;m<LearningRates.length;m++)\r\n{\r\n for(int i=0;i<LearningRates.length;i++)\r\n {\r\n\t LearningRate = LearningRates[i];\r\n\t\t double devAccuracyTotal = (double)0;\r\n\t\t int noOfEpochs= 20;\r\n\t\t int decreaseRate = 0;\r\n\t\t \r\n \t\t Double w[] = new Double[74500];\r\n\t\t Double min =-0.01; // Set To Your Desired Min Value\r\n\t Double max = 0.01;\r\n\t \t\tdouble smallRandNumber = min + new Random().nextDouble() * (max - min); \r\n\t\t\tArrays.fill(w, smallRandNumber);\r\n\t\t\t\r\n\t\t for(int epoch=0;epoch<noOfEpochs;epoch++)\r\n\t\t {\r\n\t\t\t \tw = learnMarginPerceptron(data,index,LearningRate,decreaseRate,w,Margins[m]);\r\n\t\t\t \tdecreaseRate = decreaseRate + index;\r\n\t\t\r\n\t\t }\r\n\t\t//CVSplit test\r\n \tdouble cvAccuracy = testTestFile(w,testFileName,words);\r\n \t\r\n// \tSystem.out.println(\"Epoch\" + epoch +\" Dev Accuracy for Decaying Learning Rate \" + LearningRate + \" is \" + cvAccuracy);\r\n \r\n \r\n \tSystem.out.println(\" ** Cv Accuracy for Margin Rate\" + Margins[m] + \" Learning Rate \" + LearningRate + \" is \" + cvAccuracy);\r\n \tSystem.out.println(\" \");\r\n }\r\n}\r\n//double testAccuracy = testTestFile(w,testFileName);\r\n\t//System.out.println(\"test Accuracy\" + testAccuracy);\r\n}", "@Test\r\n public void testiranjeNovca() {\r\n \r\n Main m = new Main();\r\n double val1 = 5;\r\n double val2 = 3;\r\n m.dovoljnoNovca(val1, val2);\r\n \r\n boolean tacno = false;\r\n if(val1>val2) {\r\n tacno = true;}\r\n boolean result = m.dovoljnoNovca(val1, val2);\r\n \r\n assertEquals(tacno, result);\r\n assertTrue(val1 > val2);\r\n assertNotNull(result);\r\n \r\n }", "@Test(timeout = 4000)\n public void test86() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n String string0 = naiveBayesMultinomialText0.stemmerTipText();\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\n assertFalse(naiveBayesMultinomialText0.getNormalizeDocLength());\n assertFalse(naiveBayesMultinomialText0.getUseWordFrequencies());\n assertEquals(0, naiveBayesMultinomialText0.getPeriodicPruning());\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\n assertEquals(\"The stemming algorithm to use on the words.\", string0);\n }", "@Test(timeout = 4000)\n public void test25() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"Mxn index (ints)d \");\n assertEquals(\"mxn indic (int)d \", string0);\n }", "@Test(timeout = 4000)\n public void test09() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"eti=t4on\");\n assertEquals(\"es=t4on\", string0);\n }", "@Test(timeout = 4000)\n public void test09() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"weka.core.stemmers.lovinsstemmeryt\");\n assertEquals(\"wek.cor.stemmer.lovinsstemmerys\", string0);\n }", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "private void test() {\r\n \ttry {\r\n\t\t\ttestWriter.write(\"Testing started...\");\r\n\t\t\r\n\t\t\tpredictions = new HashMap<>();\r\n \trightAnswers = new HashMap<>();\r\n\r\n\r\n \t// Get results and check them\r\n \tEvaluation eval = new Evaluation(numLabels);\r\n \tfinalTestIterator.reset();\r\n\r\n \tint metaDataCounter = 0;\r\n \tint addrCounter = 0;\r\n\r\n \twhile(finalTestIterator.hasNext()) {\r\n \t// If iterator has next dataset\r\n \tfinalTestData = finalTestIterator.next();\r\n \t// Get meta-data from this dataset\r\n\r\n \t@SuppressWarnings(\"rawtypes\")\r\n \tList<?> exampleMetaData = finalTestData.getExampleMetaData();\r\n \tIterator<?> exampleMetaDataIterator = exampleMetaData.iterator();\r\n \ttestWriter.write(\"\\n Metadata from dataset #\" + metaDataCounter + \":\\n\");\r\n \tSystem.out.println(\"\\n Metadata from dataset #\" + metaDataCounter + \":\\n\");\r\n\r\n \t// Normalize data\r\n \tnormalizer.fit(finalTestData);\r\n\r\n \t// Count processed images\r\n \tnumProcessed = (metaDataCounter + 1) * batchSizeTesting;\r\n \tloaded.setText(\"Loaded and processed: \" + numProcessed + \" pictures\");\r\n\r\n \tINDArray features = finalTestData.getFeatures();\r\n \tINDArray labels = finalTestData.getLabels();\r\n \tSystem.out.println(\"\\n Right labels #\" + metaDataCounter + \":\\n\");\r\n \ttestWriter.write(\"\\n Right labels #\" + metaDataCounter + \":\\n\");\r\n \t// Get right answers of NN for every input object\r\n \tint[][] rightLabels = labels.toIntMatrix();\r\n \tfor (int i = 0; i < rightLabels.length; i++) {\r\n \tRecordMetaDataURI metaDataUri = (RecordMetaDataURI) exampleMetaDataIterator.next();\r\n \t// Print address of image\r\n \tSystem.out.println(metaDataUri.getLocation());\r\n \tfor (int j = 0; j < rightLabels[i].length; j++) {\r\n \tif(rightLabels[i][j] == 1) {\r\n \t//public V put(K key, V value) -> key=address, value=right class label\r\n \trightAnswers.put(metaDataUri.getLocation(), j);\r\n \tthis.addresses.add(metaDataUri.getLocation());\r\n \t}\r\n \t}\r\n \t}\r\n \tSystem.out.println(\"\\nRight answers:\");\r\n \ttestWriter.write(\"\\nRight answers:\");\r\n \t// Print right answers\r\n \tfor(Map.Entry<String, Integer> answer : predictions.entrySet()){\r\n \t\ttestWriter.write(String.format(\"Address: %s Right answer: %s \\n\", answer.getKey(), answer.getValue().toString()));\r\n \tSystem.out.printf(String.format(\"Address: %s Right answer: %s \\n\", answer.getKey(), answer.getValue().toString()));\r\n \t}\r\n\r\n \t// Evaluate on the test data\r\n \tINDArray predicted = vgg16Transfer.outputSingle(features);\r\n \tint predFoundCounter = 0;\r\n \tSystem.out.println(\"\\n Labels predicted #\" + metaDataCounter + \":\\n\");\r\n \ttestWriter.write(\"\\n Labels predicted #\" + metaDataCounter + \":\\n\");\r\n \t// Get predictions of NN for every input object\r\n \tint[][] labelsPredicted = predicted.toIntMatrix();\r\n \tfor (int i = 0; i < labelsPredicted.length; i++) {\r\n \tfor (int j = 0; j < labelsPredicted[i].length; j++) {\r\n \tpredFoundCounter++;\r\n \tif(labelsPredicted[i][j] == 1) {\r\n \t//public V put(K key, V value) -> key=address, value=predicted class label\r\n \tpredFoundCounter = 0;\r\n \tthis.predictions.put(this.addresses.get(addrCounter), j);\r\n \t}\r\n \telse {\r\n \tif (predFoundCounter == 3) {\r\n \t// To fix bug when searching positive predictions\r\n \tthis.predictions.put(this.addresses.get(addrCounter), 2);\r\n \t}\r\n \t}\r\n \t}\r\n \taddrCounter++;\r\n \t}\r\n \tSystem.out.println(\"\\nPredicted:\");\r\n \ttestWriter.write(\"\\nPredicted:\");\r\n \t// Print predictions\r\n \tfor(Map.Entry<String, Integer> pred : rightAnswers.entrySet()){\r\n \tSystem.out.printf(\"Address: %s Predicted answer: %s \\n\", pred.getKey(), pred.getValue().toString());\r\n \ttestWriter.write(String.format(\"Address: %s Predicted answer: %s \\n\", pred.getKey(), pred.getValue().toString()));\r\n \t}\r\n \tmetaDataCounter++;\r\n\r\n \teval.eval(labels, predicted);\r\n \t}\r\n\r\n \tSystem.out.println(\"\\n\\n Cheack loaded model on test data...\");\r\n \tSystem.out.println(String.format(\"Evaluation on test data - [Accuracy: %.3f, P: %.3f, R: %.3f, F1: %.3f] \",\r\n \t\t\teval.accuracy(), eval.precision(), eval.recall(), eval.f1()));\r\n \tSystem.out.println(eval.stats());\r\n \tSystem.out.println(eval.confusionToString());\r\n \ttestWriter.write(\"\\n\\n Cheack loaded model on test data...\");\r\n \ttestWriter.write(String.format(\"Evaluation on test data - [Accuracy: %.3f, P: %.3f, R: %.3f, F1: %.3f] \",\r\n \t\t\teval.accuracy(), eval.precision(), eval.recall(), eval.f1()));\r\n \ttestWriter.write(eval.stats());\r\n \ttestWriter.write(eval.confusionToString());\r\n\r\n \t// Save test rates\r\n \tthis.f1_score = eval.f1();\r\n \tthis.recall_score = eval.recall();\r\n \tthis.accuracy_score = eval.accuracy();\r\n \tthis.precision_score = eval.precision();\r\n \tthis.falseNegativeRate_score = eval.falseNegativeRate();\r\n \tthis.falsePositiveRate_score = eval.falsePositiveRate();\r\n\r\n \tthis.f1.setText(\"F1 = \" + String.format(\"%.4f\", f1_score));\r\n \tthis.recall.setText(\"Recall = \" + String.format(\"%.4f\", recall_score));\r\n \tthis.accuracy.setText(\"Accuracy = \" + String.format(\"%.4f\", accuracy_score));\r\n \tthis.precision.setText(\"Precision = \" + String.format(\"%.4f\", precision_score));\r\n \tthis.falseNegativeRate.setText(\"False Negative Rate = \" + String.format(\"%.4f\", falseNegativeRate_score));\r\n \tthis.falsePositiveRate.setText(\"False Positive Rate = \" + String.format(\"%.4f\", falsePositiveRate_score));\r\n \r\n \ttestWriter.write(\"F1 = \" + String.format(\"%.4f\", f1_score));\r\n \ttestWriter.write(\"Recall = \" + String.format(\"%.4f\", recall_score));\r\n \ttestWriter.write(\"Accuracy = \" + String.format(\"%.4f\", accuracy_score));\r\n \ttestWriter.write(\"Precision = \" + String.format(\"%.4f\", precision_score));\r\n \ttestWriter.write(\"False Negative Rate = \" + String.format(\"%.4f\", falseNegativeRate_score));\r\n \ttestWriter.write(\"False Positive Rate = \" + String.format(\"%.4f\", falsePositiveRate_score));\r\n\r\n \tshowBarChart();\r\n \t} catch (IOException e) {\r\n \t\tSystem.err.println(\"Error while writing to log file\");\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n }", "@Test\n public void test05() throws Throwable {\n Vote vote0 = new Vote();\n String string0 = Evaluation.makeOptionString(vote0, true);\n assertEquals(\"\\n\\nGeneral options:\\n\\n-h or -help\\n\\tOutput help information.\\n-synopsis or -info\\n\\tOutput synopsis for classifier (use in conjunction with -h)\\n-t <name of training file>\\n\\tSets training file.\\n-T <name of test file>\\n\\tSets test file. If missing, a cross-validation will be performed\\n\\ton the training data.\\n-c <class index>\\n\\tSets index of class attribute (default: last).\\n-x <number of folds>\\n\\tSets number of folds for cross-validation (default: 10).\\n-no-cv\\n\\tDo not perform any cross validation.\\n-split-percentage <percentage>\\n\\tSets the percentage for the train/test set split, e.g., 66.\\n-preserve-order\\n\\tPreserves the order in the percentage split.\\n-s <random number seed>\\n\\tSets random number seed for cross-validation or percentage split\\n\\t(default: 1).\\n-m <name of file with cost matrix>\\n\\tSets file with cost matrix.\\n-l <name of input file>\\n\\tSets model input file. In case the filename ends with '.xml',\\n\\ta PMML file is loaded or, if that fails, options are loaded\\n\\tfrom the XML file.\\n-d <name of output file>\\n\\tSets model output file. In case the filename ends with '.xml',\\n\\tonly the options are saved to the XML file, not the model.\\n-v\\n\\tOutputs no statistics for training data.\\n-o\\n\\tOutputs statistics only, not the classifier.\\n-i\\n\\tOutputs detailed information-retrieval statistics for each class.\\n-k\\n\\tOutputs information-theoretic statistics.\\n-classifications \\\"weka.classifiers.evaluation.output.prediction.AbstractOutput + options\\\"\\n\\tUses the specified class for generating the classification output.\\n\\tE.g.: weka.classifiers.evaluation.output.prediction.PlainText\\n-p range\\n\\tOutputs predictions for test instances (or the train instances if\\n\\tno test instances provided and -no-cv is used), along with the \\n\\tattributes in the specified range (and nothing else). \\n\\tUse '-p 0' if no attributes are desired.\\n\\tDeprecated: use \\\"-classifications ...\\\" instead.\\n-distribution\\n\\tOutputs the distribution instead of only the prediction\\n\\tin conjunction with the '-p' option (only nominal classes).\\n\\tDeprecated: use \\\"-classifications ...\\\" instead.\\n-r\\n\\tOnly outputs cumulative margin distribution.\\n-xml filename \| xml-string\\n\\tRetrieves the options from the XML-data instead of the command line.\\n-threshold-file <file>\\n\\tThe file to save the threshold data to.\\n\\tThe format is determined by the extensions, e.g., '.arff' for ARFF \\n\\tformat or '.csv' for CSV.\\n-threshold-label <label>\\n\\tThe class label to determine the threshold data for\\n\\t(default is the first label)\\n\\nOptions specific to weka.classifiers.meta.Vote:\\n\\n-S <num>\\n\\tRandom number seed.\\n\\t(default 1)\\n-B <classifier specification>\\n\\tFull class name of classifier to include, followed\\n\\tby scheme options. May be specified multiple times.\\n\\t(default: \\\"weka.classifiers.rules.ZeroR\\\")\\n-D\\n\\tIf set, classifier is run in debug mode and\\n\\tmay output additional info to the console\\n-P <path to serialized classifier>\\n\\tFull path to serialized classifier to include.\\n\\tMay be specified multiple times to include\\n\\tmultiple serialized classifiers. Note: it does\\n\\tnot make sense to use pre-built classifiers in\\n\\ta cross-validation.\\n-R <AVG\|PROD\|MAJ\|MIN\|MAX\|MED>\\n\\tThe combination rule to use\\n\\t(default: AVG)\\n\\nSynopsis for weka.classifiers.meta.Vote:\\n\\nClass for combining classifiers. Different combinations of probability estimates for classification are available.\\n\\nFor more information see:\\n\\nLudmila I. Kuncheva (2004). Combining Pattern Classifiers: Methods and Algorithms. John Wiley and Sons, Inc..\\n\\nJ. Kittler, M. Hatef, Robert P.W. Duin, J. Matas (1998). On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 20(3):226-239.\", string0);\n }", "@Test(timeout = 4000)\n public void test05() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n naiveBayesMultinomialText0.m_useStopList = true;\n boolean boolean0 = naiveBayesMultinomialText0.getUseStopList();\n assertTrue(boolean0);\n }", "@Test\n public void testGetSetTemperaturaInterior() {\n System.out.println(\"getSetTemperaturaInterior\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaInterior(expResult);\n double result = instance.getTemperaturaInterior();\n assertEquals(expResult, result, 0.0);\n }", "@Test(timeout = 4000)\n public void test22() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"bicax\");\n assertEquals(\"bicac\", string0);\n }", "public boolean doEstimate(Node node, double[] result) {\r\n makeVector(node,tmpVector);\r\n try\r\n {\r\n double[] dist = classifier.distributionForInstance(testInstance);\r\n System.arraycopy(dist,0,result,0,dist.length);\r\n }\r\n catch(Exception e)\r\n {\r\n throw new RuntimeException(\"failed to estimate distribution for given node\",e);\r\n }\r\n return true;\r\n }", "@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }", "@Test(timeout = 4000)\n public void test42() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"any addit inform that can help th reader. th first word should be capital.\");\n assertEquals(\"any addit inform that can help th reader. th first word should be capit.\", string0);\n }", "@Test\n public void testIsReversible_IDoubleArray()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isReversible(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "private void changeAndVerifyRTQ(EditPlanDirectToManaged editPlanPage, Constants.RiskTolerance riskTolerance) throws Exception{\n String riskToleranceText;\n\n editPlanPage.clickOnRestartRTQ();\n\n switch(riskTolerance) {\n case CONSERVATIVE:\n riskToleranceText = \"Conservative\";\n editPlanPage.RTQConservativeSelection();\n break;\n case MODERATE:\n riskToleranceText = \"Moderate\";\n editPlanPage.RTQModerateSelection();\n break;\n case AGGRESSIVE:\n riskToleranceText = \"Aggressive\";\n editPlanPage.RTQAggressiveSelection();\n break;\n default:\n Reporter.log(\"Unable to check Risk Tolerance \" + riskTolerance.getString(), true);\n return;\n }\n\n Reporter.log(\"Finished RTQ for \" + riskToleranceText + \" Option\");\n\n softAssert.assertTrue(editPlanPage.verifyRiskTolerance(riskToleranceText));\n editPlanPage.clickNextBtn();\n softAssert.assertTrue(editPlanPage.verifySummaryPageRiskTolerance(riskToleranceText));\n\n checkInvestmentStrategies(editPlanPage, riskTolerance);\n // randomRetirementAgeSpotCheck(editPlanPage,riskTolerance);\n editPlanPage.updateRetirementAge(Constants.DEFAULT_RETIREMENT_AGE + \"\");\n }", "@Test(timeout = 4000)\n public void test29() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"bex\");\n assertEquals(\"bic\", string0);\n }", "@Test\n public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test45() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"how someth strang ha been publ. th first word should be capital.\");\n assertEquals(\"how someth strang ha been publ. th first word should be capit.\", string0);\n }", "public void testAct() {\n\t\tSystem.out.println(\"RothErevAgentTest.testAct()\");\n\t\tSystem.out.print(\"\tInitial: \");\n\t\tRELearner learner = agent.getLearner();\n\t\tREPolicy policy = learner.getPolicy();\n\t\tdouble[] probs = policy.getProbabilities();\n\t\tfor (int j = 0; j < probs.length; j++)\n\t\t\tSystem.out.print(probs[j] + \", \");\n\t\tSystem.out.println();\n\n\t\tSimpleAction<Integer> nextAction;\n\t\tint index;\n\n\t\tSimpleAction<Integer> benchmark_nextAction;\n\t\tint benchmark_index;\n\n\t\tfor (int i = 0; i < 100; i++) {\n\t\t\tnextAction = agent.chooseAction();\n\t\t\tindex = nextAction.getAct();\n\t\t\tagent.receiveFeedback(rewards[index]);\n\n\t\t\tbenchmark_nextAction = benchmark_learner.chooseAction();\n\t\t\tbenchmark_index = benchmark_nextAction.getAct();\n\t\t\tbenchmark_learner.update(rewards[benchmark_index]);\n\n\t\t\tassertEquals(index, benchmark_index);\n\t\t\tassertEquals(agent.getLearner().getUpdateCount(), i + 1);\n\n\t\t\tprobs = agent.getLearner().getPolicy().getProbabilities();\n\t\t\tSystem.out.print(\"\t\" + index + \"\t\");\n\t\t\tfor (int j = 0; j < probs.length; j++)\n\t\t\t\tSystem.out.print(probs[j] + \", \");\n\t\t\tSystem.out.println();\n\t\t}\n\t}", "public void checkMovementZReset(ITestContext context) {\n Reporter.testStart();\n String caseFolder=context.getName()+\"/\";\n String importFile=context.getCurrentXmlTest().getParameter(\"importFile\");\n String expectationFile=context.getCurrentXmlTest().getParameter(\"expectationFile\");\n String methodName=Thread.currentThread().getStackTrace()[1].getMethodName();\n String screenWithinCase=caseFolder+methodName;\n MeshViewPage meshViewPage=new MeshViewPage(getWebDriverWrapper());\n if(meshViewPage.isThePage()){\n\n uploadDCM(meshViewPage,importFile);\n\n OrientationAdjustment oa= meshViewPage.clickOrientationAdjustment();\n Reporter.log(\"click Orientation Adjustment tab on left bar\");\n String text=\"0.1\";\n Reporter.log(\"select Movement step \"+text);\n Assert.assertEquals(oa.selectMovementStep(text),text,\"Cann't select \"+text);\n\n Integer clickTimes=30;\n String disResult=oa.clickDistanceMinus(clickTimes);\n embededScreenShot(screenWithinCase+\"_distance_\"+disResult,\"click Z minus(\"+clickTimes.toString()+\" times), get distance is \"+disResult);\n Assert.assertEquals(disResult,\"-3\",\"distance is not same as expected result\");\n\n clickTimes=10;\n disResult=oa.clickDistancePlus(clickTimes);\n String lower=embededScreenShot(screenWithinCase+\"_distance_\"+disResult,\"click Z plus(\"+clickTimes.toString()+\" times), get distance is \"+disResult);\n Assert.assertEquals(disResult,\"-2\",\"distance is not same as expected result\");\n\n disResult=oa.clickDistancePlus(clickTimes);\n String middle=embededScreenShot(screenWithinCase+\"_distance_\"+disResult,\"click Z plus(\"+clickTimes.toString()+\" times), get distance is \"+disResult);\n Assert.assertEquals(disResult,\"-1\",\"distance is not same as expected result\");\n\n disResult=oa.clickDistanceReset();\n String higher=embededScreenShot(screenWithinCase+\"_distance_\"+disResult,\"click Z reset(1 times), get distance is \"+disResult);\n Assert.assertEquals(disResult,\"0\",\"distance is not same as expected result\");\n\n embededCompareResult(lower,middle,higher, IComFolder.RESULT_ACTUAL_FOLDER +caseFolder, IComFolder.RESULT_EXPECTATION_FOLDER+expectationFile);\n\n }\n Reporter.testEnd();\n }", "@Test\n\tvoid testCalculateMarkTillSemesterSuccess3() {\n\t\n\t\tString semesterName = \"20193\";\n\t\t\n\t\tUser user = userService.findByUsername(\"B17DCCN123\");\n\t\tStudent student = user.getStudent();\n\t\tList<StudentResult> resultsTillSemester = resultService.findResultTillSemester(student.getId(),\n\t\t\t\tsemesterName);\n\t\t\n\t\tString tktMark = \"\";\n\t\t\n\t\tfor (StudentResult result : resultsTillSemester) {\n\t\t\tSubject subject = result.getStudentRegister().getCourse().getSubject();\n\t\t\tif (subject.getName().equals(\"Toán kinh tế\")) {\n\t\t\t\ttktMark = result.getMarkToChar();\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\t\n\t\tList<Object> listGpaResultsTillNow = MarkUtility.calculateMarkTillSemester(resultsTillSemester);\n\t\tint passedCreditsTillNow = (int) listGpaResultsTillNow.get(0);\n\t\tfloat gpaTillNow = (float) listGpaResultsTillNow.get(1);\n\t\t\n\t\tDecimalFormat df = new DecimalFormat(\"#.##\");\n\t\t\n\t\tassertTrue(\n\t\t\t\ttktMark.equals(\"C\") && \n\t\t\t\tpassedCreditsTillNow == 18 && \n\t\t\t\tdf.format(gpaTillNow).equals(\"3.19\")\n\t\t\t\t);\n\t}", "@Test(timeout = 4000)\n public void test22() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"lid\");\n assertEquals(\"lis\", string0);\n }", "public void testtuningDirection() {\n System.out.println(\"tuningDirection\");\n java.lang.String noteName = \"\";\n double frequency = 0.0;\n net.sharedmemory.tuner.Note instance = new net.sharedmemory.tuner.Note();\n int expectedResult = 0;\n int result = instance.tuningDirection(noteName,frequency);\n assertEquals(expectedResult, result);\n \n //TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test07() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"optyt\");\n assertEquals(\"optys\", string0);\n }", "@Test\n public void testSolution() {\n assertArrayEquals(new int[]{3,2,1} , new Task().reverse3( new int[]{1, 2, 3}));\n assertArrayEquals(new int[]{5, 11, 9} , new Task().reverse3( new int[]{9, 11, 5}));\n assertArrayEquals(new int[]{7, 0, 0} , new Task().reverse3( new int[]{0, 0, 7}));\n assertArrayEquals(new int[]{2, 1, 2} , new Task().reverse3( new int[]{2, 1, 2}));\n assertArrayEquals(new int[]{1, 2, 1} , new Task().reverse3( new int[]{1, 2, 1}));\n assertArrayEquals(new int[]{2, 11, 3} , new Task().reverse3( new int[]{3, 11, 2}));\n assertArrayEquals(new int[]{7, 2, 3} , new Task().reverse3( new int[]{3, 2, 7}));\n\n }", "@Test(timeout = 4000)\n public void test37() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"umpt\");\n assertEquals(\"um\", string0);\n }", "@Test(timeout = 4000)\n public void test33() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"umpt\");\n assertEquals(\"um\", string0);\n }", "@Test(timeout = 4000)\n public void test12() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"ond\");\n assertEquals(\"ons\", string0);\n }", "@Test(timeout = 4000)\n public void test12() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"ond\");\n assertEquals(\"ons\", string0);\n }", "@Test\n public void testDeterminante() {\n System.out.println(\"determinante\");\n Matrix matrix = null;\n double expResult = 0.0;\n double result = utilsHill.determinante(matrix);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n void testTitForTatWithHistoryDefect() {\r\n TitForTat testStrat = new TitForTat();\r\n AlwaysDefect testStrat2 = new AlwaysDefect();\r\n ArrayList<Integer> payoffs = new ArrayList<>(Arrays.asList(3, 5, 0, 1));\r\n Game game = new Game(testStrat, testStrat2, 2, payoffs);\r\n game.playGame();\r\n int points = testStrat.getPoints();\r\n assertEquals(points, 1, \"tit for tat not returning \"\r\n + \"correctly against defecting opponent\"); \r\n }", "@Test\r\n public void testCalculateNDM() {\r\n System.out.println(\"calculateNDM\");\r\n NDM instance = null;\r\n Double expResult = null;\r\n //Double result = instance.calculateNDM();\r\n //assertEquals(expResult, result);\r\n // TODO review the generated test code and remove the default call to fail.\r\n //fail(\"The test case is a prototype.\");\r\n }", "@Test\r\n void testTitForTatWithHistoryCooperate() {\r\n TitForTat testStrat = new TitForTat();\r\n AlwaysCooperate testStrat2 = new AlwaysCooperate();\r\n ArrayList<Integer> payoffs = new ArrayList<>(Arrays.asList(3, 5, 0, 1));\r\n Game game = new Game(testStrat, testStrat2, 2, payoffs);\r\n game.playGame();\r\n int points = testStrat.getPoints();\r\n assertEquals(points, 6, \"tit for tat not returning correctly \"\r\n + \"against cooperating opponent\"); \r\n }", "@Test(timeout = 4000)\n public void test13() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"weka.core.stemmers.lovinsstemmerpher\");\n assertEquals(\"weka.core.stemmers.lovinsstemmerpher\", string0);\n }", "@Test(timeout = 4000)\n public void test21() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"erid\");\n assertEquals(\"eris\", string0);\n }", "@Test(timeout = 4000)\n public void test11() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"rud\");\n assertEquals(\"rus\", string0);\n }", "@Test(timeout = 4000)\n public void test35() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"istr\");\n assertEquals(\"ister\", string0);\n }", "@Test(timeout = 4000)\n public void test156() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(50, 50);\n resultMatrixLatex0.m_ShowAverage = false;\n resultMatrixLatex0.m_ShowStdDev = true;\n boolean[] booleanArray0 = new boolean[5];\n booleanArray0[0] = false;\n booleanArray0[1] = false;\n resultMatrixLatex0.m_StdDevWidth = (-3085);\n booleanArray0[2] = true;\n resultMatrixLatex0.setPrintColNames(true);\n booleanArray0[3] = true;\n resultMatrixLatex0.setStdDevWidth((-1));\n booleanArray0[4] = true;\n resultMatrixLatex0.m_RowHidden = booleanArray0;\n resultMatrixLatex0.getDefaultEnumerateColNames();\n resultMatrixLatex0.colNameWidthTipText();\n resultMatrixLatex0.setPrintRowNames(false);\n resultMatrixLatex0.removeFilterName(\"\");\n resultMatrixLatex0.padString(\"\", 0, false);\n ResultMatrixSignificance resultMatrixSignificance0 = null;\n try {\n resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 5\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test(timeout = 4000)\n public void test27() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"weka.core.stemmers.lovinsstemmerpex\");\n assertEquals(\"weka.core.stemmers.lovinsstemmerpic\", string0);\n }", "@Test\n public void testCalcProbTheta() throws Exception {\n\n double guessProb1 = ItemResponseTheory.calcProbTheta(c, lambda, theta1, alpha1);\n double guessProb2 = ItemResponseTheory.calcProbTheta(c, lambda, theta2, alpha1);\n double guessProb3 = ItemResponseTheory.calcProbTheta(c, lambda, theta3, alpha1);\n double guessProb4 = ItemResponseTheory.calcProbTheta(c, lambda, theta4, alpha1);\n double guessProb5 = ItemResponseTheory.calcProbTheta(c, lambda, theta5, alpha1);\n double guessProb6 = ItemResponseTheory.calcProbTheta(c, lambda, theta6, alpha1);\n double guessProb7 = ItemResponseTheory.calcProbTheta(c, lambda, theta7, alpha1);\n\n double ans1 = 0.2;\n double ans2 = 0.21;\n double ans3 = 0.23;\n double ans4 = 0.3;\n double ans5 = 0.47;\n double ans6 = 0.73;\n double ans7 = 0.9;\n\n double tolerance = 0.005;\n\n assertTrue(\"Prob(theta1)\", Math.abs(guessProb1 - ans1)< tolerance);\n assertTrue(\"Prob(theta2)\", Math.abs(guessProb2 - ans2) < tolerance);\n assertTrue(\"Prob(theta3)\", Math.abs(guessProb3 - ans3) < tolerance);\n assertTrue(\"Prob(theta4)\", Math.abs(guessProb4 - ans4) < tolerance);\n assertTrue(\"Prob(theta5)\", Math.abs(guessProb5 - ans5) < tolerance);\n assertTrue(\"Prob(theta6)\", Math.abs(guessProb6 - ans6) < tolerance);\n assertTrue(\"Prob(theta7)\", Math.abs(guessProb7 - ans7) < tolerance);\n\n }", "@Test\r\n public void testGetNDMValues() {\r\n System.out.println(\"getNDMValues\");\r\n NDM instance = null;\r\n Vector<Double> expResult = null;\r\n //Vector<Double> result = instance.getNDMValues();\r\n //assertEquals(expResult, result);\r\n // TODO review the generated test code and remove the default call to fail.\r\n //fail(\"The test case is a prototype.\");\r\n }", "@Test\n\tpublic void testSetTariefBehandeling(){\n\t\tdouble expResult = 10;\n\t\tinstance.setTariefBehandeling(10);\n\t\tassertTrue(expResult == instance.getTariefBehandeling());\n\t}", "@Test(timeout = 4000)\n public void test33() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"olv\");\n assertEquals(\"olut\", string0);\n }", "public double mo3937t(double m, double mu, double v, double n) {\r\n return (m - mu) / FastMath.sqrt(v / n);\r\n }", "@Test\n public void testCalcMedAmount() {\n \n //Test case 1\n \n System.out.println(\"calcMedAmount Test Case 1 - Dose is correct\");\n \n //Input Values for Test Case 1\n \n double weightInPounds = 100;\n double numberOfPills = 1;\n \n AntidoteControl instance = new AntidoteControl();\n \n double expResult = 227;\n double result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 2\n \n System.out.println(\"calcMedAmount Test Case 2 Invalid weight\");\n \n //Input Values for Test Case 2\n \n weightInPounds = 0;\n numberOfPills = 1;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = -1;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 3\n \n System.out.println(\"calcMedAmount Test Case 3 Underdose\");\n \n //Input Values for Test Case 3\n \n weightInPounds = 10001;\n numberOfPills = 0;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = -2;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 4\n \n System.out.println(\"calcMedAmount Test Case 4 Overdose\");\n \n //Input Values for Test Case 4\n \n weightInPounds = 100;\n numberOfPills = 4;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = 227;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void test() {\n\t\tdouble delta = 0.00001;\n\t\tSnp fakeSnp1 = new Snp(\"fakeId1\", 0, 0.3);\n\t\tSnp fakeSnp2 = new Snp(\"fakeId2\", 0, 0.8);\n\t\tSnp fakeSnp3 = new Snp(\"fakeId3\", 0, 1.4);\n\t\tPascal.set.withZScore_=true;\n\t\tArrayList<Snp> geneSnps = new ArrayList<Snp>();\n\t\tgeneSnps.add(fakeSnp1);geneSnps.add(fakeSnp2);geneSnps.add(fakeSnp3);\n\t\tDenseMatrix ld= new DenseMatrix(3,3);\n\t\t//DenseMatrix crossLd= new DenseMatrix(3,2);\n\t\t\n\t\tArrayList<Double> snpScores = new ArrayList<Double>(3);\n\t\tsnpScores.add(fakeSnp1.getZscore());\n\t\tsnpScores.add(fakeSnp2.getZscore());\n\t\tsnpScores.add(fakeSnp3.getZscore());\n\t\t//ld and crossLd calculated as follows:\n\t\t// make 0.9-toeplitz mat of size 5.\n\t\t// 3,4,5 for ld-mat\n\t\t// 1,2 for crossLd-mat\n\t\tld.set(0,0,1);ld.set(1,1,1);ld.set(2,2,1);\n\t\tld.set(0,1,0.9);ld.set(1,2,0.9);\n\t\tld.set(1,0,0.9);ld.set(2,1,0.9);\n\t\tld.set(0,2,0.81);\n\t\tld.set(2,0,0.81);\n\t\tdouble[] weights = {2,2,2};\n\t\tAnalyticVegas myAnalyticObj= null;\n\t\t//UpperSymmDenseMatrix myMatToDecompose = null;\n\t\tdouble[] myEigenvals = null;\n\t\tdouble[] emptyWeights = {1,1,1};\n\t\tmyAnalyticObj= new AnalyticVegas(snpScores, ld, emptyWeights);\n\t\tmyAnalyticObj.computeScore();\n\t\tmyEigenvals = myAnalyticObj.computeLambda();\n\t\tassertEquals(myEigenvals[0],2.74067, delta);\n\t\tassertEquals(myEigenvals[1],0.1900, delta);\n\t\tassertEquals(myEigenvals[2],0.06932, delta);\n\t\t\n\t\tmyAnalyticObj= new AnalyticVegas(snpScores, ld, weights);\n\t\tmyAnalyticObj.computeScore();\n\t\tmyEigenvals = myAnalyticObj.computeLambda();\t\t\t\n\t\tassertEquals(myEigenvals[0], 5.481348, delta);\n\t\tassertEquals(myEigenvals[1],0.380000, delta);\n\t\tassertEquals(myEigenvals[2],0.138652, delta);\n\t\t\t\n\t\tdouble[] weights2 = {1,2,0.5};\n\t\t\n\t\tmyAnalyticObj= new AnalyticVegas(snpScores, ld, weights2);\n\t\tmyAnalyticObj.computeScore();\n\t\tmyEigenvals = myAnalyticObj.computeLambda();\t\t\n\t\tassertEquals(myEigenvals[0],3.27694674, delta);\n\t\tassertEquals(myEigenvals[1],0.1492338, delta);\n\t\tassertEquals(myEigenvals[2],0.07381938, delta);\t\t\t\n\t\t\n\t}", "@Test(timeout = 4000)\n public void test17() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"invalid CVS re5iion - not enough parts separatedby dots!\");\n assertEquals(\"invalis cv re5i - not enough part separatedb dot!\", string0);\n }", "@Test\r\n\tpublic void calculMetricInferiorTeacherBetterScoreButNoLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(25f, 1f), 12f, 13f), new Float(0));\r\n\t}", "@Test\n public void testTrain() {\n System.out.println(\"train\");\n TokenizedLine tokenizedLine = null;\n ArrayList<Words> expResult = null;\n ArrayList<Words> result = Training.train(tokenizedLine);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n \n }", "@Test(timeout = 4000)\n public void test15() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stem(\"bookletlud\");\n assertEquals(\"bookletlus\", string0);\n }", "@Test\n public void testCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.correlation(M, observable1, observable2, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void test03() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[19];\n evaluation0.updateMargins(doubleArray0, 0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test35() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"iev\");\n assertEquals(\"ief\", string0);\n }", "@Test(timeout = 4000)\n public void test23() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"tex\");\n assertEquals(\"tic\", string0);\n }", "@Test\n\tvoid testCalculateMarkTillSemesterSuccess2() {\n\t\t\n\t\tString semesterName = \"20193\";\n\t\t\n\t\tUser user = userService.findByUsername(\"B16DCCN168\");\n\t\tStudent student = user.getStudent();\n\t\tList<StudentResult> resultsTillSemester = resultService.findResultTillSemester(student.getId(),\n\t\t\t\tsemesterName);\n\t\t\n\t\tString mmtMark = \"\", tthcmMark = \"\";\n\t\t\n\t\tfor (StudentResult result : resultsTillSemester) {\n\t\t\tSubject subject = result.getStudentRegister().getCourse().getSubject();\n\t\t\tif (subject.getName().equals(\"Mạng máy tính\")) {\n\t\t\t\tmmtMark = result.getMarkToChar();\n\t\t\t}\n\t\t\t\n\t\t\tif (subject.getName().equals(\"Tư tưởng Hồ Chí Minh\")) {\n\t\t\t\ttthcmMark = result.getMarkToChar();\n\t\t\t}\n\t\t}\n\t\t\n\t\tList<Object> listGpaResultsTillNow = MarkUtility.calculateMarkTillSemester(resultsTillSemester);\n\t\tint passedCreditsTillNow = (int) listGpaResultsTillNow.get(0);\n\t\tfloat gpaTillNow = (float) listGpaResultsTillNow.get(1);\n\t\t\n\t\tDecimalFormat df = new DecimalFormat(\"#.##\");\n\t\t\n\t\tassertTrue(\n\t\t\t\tmmtMark.equals(\"B\") &&\n\t\t\t\ttthcmMark.equals(\"A\") &&\n\t\t\t\tpassedCreditsTillNow == 15 &&\n\t\t\t\tdf.format(gpaTillNow).equals(\"3.64\")\n\t\t\t\t);\n\t}", "@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test(timeout = 4000)\n public void test26() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n String string0 = lovinsStemmer0.stemString(\"bex\");\n assertEquals(\"bic\", string0);\n }" ]	[ "0.7777883", "0.67116666", "0.6276782", "0.5792056", "0.57413036", "0.573767", "0.5676649", "0.5360095", "0.53155226", "0.5279082", "0.5216665", "0.52074224", "0.5190313", "0.51742774", "0.51586705", "0.5110851", "0.5067505", "0.50606525", "0.50491714", "0.50460684", "0.5021242", "0.50131863", "0.50123584", "0.48919103", "0.48895591", "0.48857868", "0.48755437", "0.48686415", "0.4858045", "0.4834746", "0.4826278", "0.48238057", "0.4807041", "0.48043326", "0.47912166", "0.47799882", "0.4764102", "0.4755301", "0.47532243", "0.47482446", "0.47444767", "0.4738457", "0.47355226", "0.4732819", "0.47264513", "0.47251076", "0.47221884", "0.47161913", "0.4712657", "0.46998116", "0.46952143", "0.4695076", "0.4692882", "0.4691835", "0.4690567", "0.46903303", "0.46888417", "0.46852425", "0.4681721", "0.46811485", "0.46792158", "0.46770146", "0.46757782", "0.4672632", "0.46653637", "0.4664852", "0.46643883", "0.4661991", "0.46590644", "0.46589106", "0.46589106", "0.46527794", "0.46495256", "0.46484366", "0.46460846", "0.46452916", "0.46450812", "0.4644479", "0.4640692", "0.46405414", "0.46307725", "0.46291184", "0.46258155", "0.46237198", "0.46201685", "0.46200025", "0.46149263", "0.46145052", "0.46028903", "0.46012777", "0.45986402", "0.4593882", "0.45903566", "0.45890734", "0.4588916", "0.45884135", "0.45812118", "0.4578322", "0.45779374", "0.45774454" ]	0.7112861	1
Test of stationaryDistribution method, of class MarkovModelUtilities.	@Test public void testStationaryDistribution() { try { IDoubleArray T = Doubles.create.fromFile(inputT1); IDoubleArray expResult = Doubles.create.fromFile(inputT1_pi); IDoubleArray pi = MarkovModel.util.stationaryDistribution(T); assertEqual(pi, expResult, 1e-5); } catch(IOException e) { e.printStackTrace(); } // TODO review the generated test code and remove the default call to fail. //fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testStationaryDistributionRevQuick()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.stationaryDistributionRevQuick(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testSd() {\n System.out.println(\"sd\");\n NegativeBinomialDistribution instance = new NegativeBinomialDistribution(3, 0.3);\n instance.rand();\n assertEquals(Math.sqrt(7/0.3), instance.sd(), 1E-7);\n }", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n public void test09() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedFalseNegativeRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test27() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n double[] doubleArray0 = new double[1];\n SparseInstance sparseInstance0 = new SparseInstance(5.0, doubleArray0);\n try { \n naiveBayesMultinomialText0.distributionForInstance(sparseInstance0);\n fail(\"Expecting exception: RuntimeException\");\n \n } catch(RuntimeException e) {\n //\n // DenseInstance doesn't have access to a dataset!\n //\n verifyException(\"weka.core.AbstractInstance\", e);\n }\n }", "public boolean doEstimate(Node node, double[] result) {\r\n makeVector(node,tmpVector);\r\n try\r\n {\r\n double[] dist = classifier.distributionForInstance(testInstance);\r\n System.arraycopy(dist,0,result,0,dist.length);\r\n }\r\n catch(Exception e)\r\n {\r\n throw new RuntimeException(\"failed to estimate distribution for given node\",e);\r\n }\r\n return true;\r\n }", "@Test(timeout = 4000)\n public void test017() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n GaussianProcesses gaussianProcesses0 = new GaussianProcesses();\n double[] doubleArray0 = new double[5];\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1.0, doubleArray0);\n try { \n evaluation0.updateStatsForConditionalDensityEstimator(gaussianProcesses0, binarySparseInstance0, 680.667851151);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.classifiers.functions.GaussianProcesses\", e);\n }\n }", "@Test\n\tpublic void testRepeatibleDynamics() throws IOException, PropertiesException {\n\n\t\t\n\t\t// INSTANTIATE benchmark \n\t\tProperties props = PropertiesUtil.setpointProperties(new File (\"src/main/resources/sim.properties\"));\n\t\tSetPointGenerator lg = new SetPointGenerator (props);\n\t\tList<ExternalDriver> externalDrivers = new ArrayList<ExternalDriver>();\n\t\texternalDrivers.add(lg);\n\t\tIndustrialBenchmarkDynamics d = new IndustrialBenchmarkDynamics (props, externalDrivers);\n\t\tRandom actionRand = new Random(System.currentTimeMillis());\n \n // 1) do 100000 random steps, in order to initialize dynamics\n\t\tfinal ActionDelta action = new ActionDelta(0.001f, 0.001f, 0.001f); \n\t\tfor (int i=0; i<INIT_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t}\n\t\t\n\t\t// 2) memorize current observable state and current markov state\n\t\tfinal ObservableState os = d.getState();\n\t\tfinal DataVector ms = d.getInternalMarkovState();\n\t\tSystem.out.println (\"init o-state: \" + os.toString());\n\t\tSystem.out.println (\"init m-state: \" + ms.toString());\n\t\t\n\t\t\n\t\t// 3) perform test trajectory and memorize states\n\t\tactionRand.setSeed(ACTION_SEED);\n\t\tDataVector oStates[] = new DataVector[MEM_STEPS];\n\t\tDataVector mStates[] = new DataVector[MEM_STEPS];\n\t\t\t\t\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t\toStates[i] = d.getState();\n\t\t\tmStates[i] = d.getInternalMarkovState();\n\t\t}\n\t\t\n\t\t// 4) reset dynamics & parameters and internal markov state\n\t\td.reset();\n\t\td.setInternalMarkovState(ms);\n\t\t\n\t\t// 5) reperform test and check if values are consistent\n\t\tactionRand.setSeed(ACTION_SEED); // reproduce action sequence\n\t\tDataVector oState = null;\n\t\tDataVector mState = null;\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\t\n\t\t\td.step(action);\n\t\t\toState = d.getState();\n\t\t\tmState = d.getInternalMarkovState();\n\t\t\t\n\t\t\t// check observable state\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.SetPoint), oState.getValue(ObservableStateDescription.SetPoint), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Fatigue), oState.getValue(ObservableStateDescription.Fatigue), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Consumption), oState.getValue(ObservableStateDescription.Consumption), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.RewardTotal), oState.getValue(ObservableStateDescription.RewardTotal), 0.0001);\n\n\t\t\t// \n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.CurrentOperationalCost), mState.getValue(MarkovianStateDescription.CurrentOperationalCost), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent2), mState.getValue(MarkovianStateDescription.FatigueLatent2), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent1), mState.getValue(MarkovianStateDescription.FatigueLatent1), 0.0001);\n\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionGainBeta), mState.getValue(MarkovianStateDescription.EffectiveActionGainBeta), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), mState.getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveShift), mState.getValue(MarkovianStateDescription.EffectiveShift), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.MisCalibration), mState.getValue(MarkovianStateDescription.MisCalibration), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), mState.getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardFatigue), mState.getValue(MarkovianStateDescription.RewardFatigue), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardConsumption), mState.getValue(MarkovianStateDescription.RewardConsumption), 0.0001);\n\t\t}\n\t\t\n\t\tSystem.out.println (\"last o-state 1st trajectory: \" + oStates[oStates.length-1]);\n\t\tSystem.out.println (\"last o-state 2nd trajectory: \" + oState);\n\t\t\n\t\tSystem.out.println (\"last m-state 1st trajectory: \" + mStates[oStates.length-1]);\n\t\tSystem.out.println (\"last m-state 2nd trajectory: \" + mState);\n\t}", "@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test\n public void test17() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double0, 0.01D);\n }", "@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test\n public void testWeightedConsistency() {\n\n // See if this statistic computes weighted statistics\n // If not, skip this test\n UnivariateStatistic statistic = getUnivariateStatistic();\n if (!(statistic instanceof WeightedEvaluation)) {\n return;\n }\n\n // Create arrays of values and corresponding integral weights\n // and longer array with values repeated according to the weights\n final int len = 10; // length of values array\n final double mu = 0; // mean of test data\n final double sigma = 5; // std dev of test data\n double[] values = new double[len];\n double[] weights = new double[len];\n\n // Fill weights array with random int values between 1 and 5\n int[] intWeights = new int[len];\n final DiscreteDistribution.Sampler weightDist =\n UniformDiscreteDistribution.of(1, 5).createSampler(RandomSource.WELL_512_A.create(234878544L));\n for (int i = 0; i < len; i++) {\n intWeights[i] = weightDist.sample();\n weights[i] = intWeights[i];\n }\n\n // Fill values array with random data from N(mu, sigma)\n // and fill valuesList with values from values array with\n // values[i] repeated weights[i] times, each i\n final ContinuousDistribution.Sampler valueDist =\n NormalDistribution.of(mu, sigma).createSampler(RandomSource.WELL_512_A.create(64925784252L));\n List<Double> valuesList = new ArrayList<>();\n for (int i = 0; i < len; i++) {\n double value = valueDist.sample();\n values[i] = value;\n for (int j = 0; j < intWeights[i]; j++) {\n valuesList.add(Double.valueOf(value));\n }\n }\n\n // Dump valuesList into repeatedValues array\n int sumWeights = valuesList.size();\n double[] repeatedValues = new double[sumWeights];\n for (int i = 0; i < sumWeights; i++) {\n repeatedValues[i] = valuesList.get(i);\n }\n\n // Compare result of weighted statistic computation with direct computation\n // on array of repeated values\n WeightedEvaluation weightedStatistic = (WeightedEvaluation) statistic;\n TestUtils.assertRelativelyEquals(statistic.evaluate(repeatedValues),\n weightedStatistic.evaluate(values, weights, 0, values.length),\n 10E-12);\n\n // Check consistency of weighted evaluation methods\n Assert.assertEquals(weightedStatistic.evaluate(values, weights, 0, values.length),\n weightedStatistic.evaluate(values, weights), Double.MIN_VALUE);\n }", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "private Boolean simulationTerminee() {\n if (Evenements.size() != 0) \n return false;\n else\n return true;\n }", "@Test(timeout = 4000)\n public void test003() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedFalsePositiveRate();\n assertEquals(Double.NaN, double0, 0.01);\n }", "@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test086() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanPriorEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test087() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n public void test36() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.incorrect();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test\r\n public void testGetNDMValues() {\r\n System.out.println(\"getNDMValues\");\r\n NDM instance = null;\r\n Vector<Double> expResult = null;\r\n //Vector<Double> result = instance.getNDMValues();\r\n //assertEquals(expResult, result);\r\n // TODO review the generated test code and remove the default call to fail.\r\n //fail(\"The test case is a prototype.\");\r\n }", "@Test\n public void test03() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[19];\n evaluation0.updateMargins(doubleArray0, 0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test002() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedMatthewsCorrelation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\r\n public void testCalculateNDM() {\r\n System.out.println(\"calculateNDM\");\r\n NDM instance = null;\r\n Double expResult = null;\r\n //Double result = instance.calculateNDM();\r\n //assertEquals(expResult, result);\r\n // TODO review the generated test code and remove the default call to fail.\r\n //fail(\"The test case is a prototype.\");\r\n }", "@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }", "@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test001() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedTruePositiveRate();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }", "@Test\n public void test13() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test\n public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test\n public void test31() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedFMeasure();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test\n public void test04() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n // Undeclared exception!\n try {\n double[] doubleArray0 = evaluation0.makeDistribution(0.0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n }\n }", "@Test(timeout = 4000)\n public void test118() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\n }", "void test() {\n // A small hard coded world for testing\n Actor[][] testWorld = new Actor[][]{\n {Actor.RED, Actor.RED, Actor.NONE},\n {Actor.NONE, Actor.BLUE, Actor.NONE},\n {Actor.RED, Actor.NONE, Actor.BLUE}\n };\n double th = 0.5; // Simple threshold used for testing\n int size = testWorld.length;\n\n //Test distribution method distribution\n exit(0);\n }", "@Test(timeout = 4000)\n public void test058() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1752);\n double[] doubleArray0 = new double[9];\n try { \n evaluation0.evaluateModelOnce(doubleArray0, (Instance) binarySparseInstance0);\n fail(\"Expecting exception: RuntimeException\");\n \n } catch(RuntimeException e) {\n //\n // DenseInstance doesn't have access to a dataset!\n //\n verifyException(\"weka.core.AbstractInstance\", e);\n }\n }", "@Test\n public void test01() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass((-1459.149165489484), ',');\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test\n public void testLogLikelihood()\n {\n IDoubleArray T = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihood(T, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test085() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n public void test19() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBInformation();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test28() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n try { \n naiveBayesMultinomialText0.distributionForInstance((Instance) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "@Override\r\n\tpublic void sssDoLwTestPeriodic() {\n\r\n\t}", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test \n\tpublic void baysNeverZeroResult() {\n\t\tboolean nil = false;\n\t\t//word ids are only positive so -1 is testing a \"word not found\" case\n\t\tfor(int i = -1; i< 100; i++) {\n\t\t\tfor(NewsGroup g: groups) {\n\t\t\t\tif(g.bayesianEstimator(i) == 0)\n\t\t\t\t\tnil = true;\n\t\t\t}\n\t\t}\n\t\tassertFalse(nil);\n\t}", "@Test(timeout = 4000)\n public void test109() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test(timeout = 4000)\n public void test036() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(0.95);\n assertNotNull(doubleArray0);\n assertArrayEquals(new double[] {1.0, 0.0}, doubleArray0, 0.01);\n assertEquals(0.0, evaluation0.SFSchemeEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test004() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedFMeasure();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }", "@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test035() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n // Undeclared exception!\n try { \n evaluation0.makeDistribution(0.0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test(timeout = 4000)\n public void test011() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unclassified();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test\n public void test35() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }", "@Test(timeout = 4000)\n public void test073() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.m_ClassIsNominal = false;\n // Undeclared exception!\n try { \n evaluation0.makeDistribution((-2957.82113));\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test\n public void test30() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertFalse(boolean0);\n }", "@Test(timeout = 4000)\n public void test016() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n try { \n evaluation0.updateStatsForConditionalDensityEstimator((ConditionalDensityEstimator) null, (Instance) null, (-3794.5097530669586));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test\n public void testGenerateStatistics() {\n Statistics me = new Statistics(0, numFishes, numSharks);\n Statistics prog = dataHandler.generateStatistics();\n //assertEquals(me, prog);\n if (me.getIterationStep() == prog.getIterationStep()\n && me.getFishAmount() == prog.getFishAmount()\n && me.getSharksAmount() == prog.getSharksAmount()) {\n assertTrue(true);\n } else {\n assertTrue(false);\n }\n }", "@Test \r\n public void testGetWeight()\r\n {\r\n assertEquals(1.0, seed.getWeight(), 0.01);\r\n }", "@Test\n public void testTrain_RegressionDataSet() {\n System.out.println(\"train\");\n RegressionDataSet trainSet = FixedProblems.getSimpleRegression1(150, new Random(2));\n RegressionDataSet testSet = FixedProblems.getSimpleRegression1(50, new Random(3));\n\n for (boolean modification1 : new boolean[] { true, false })\n for (SupportVectorLearner.CacheMode cacheMode : SupportVectorLearner.CacheMode.values()) {\n PlattSMO smo = new PlattSMO(new RBFKernel(0.5));\n smo.setCacheMode(cacheMode);\n smo.setC(1);\n smo.setEpsilon(0.1);\n smo.setModificationOne(modification1);\n smo.train(trainSet);\n\n double errors = 0;\n for (int i = 0; i < testSet.size(); i++)\n errors += Math.pow(testSet.getTargetValue(i) - smo.regress(testSet.getDataPoint(i)), 2);\n assertTrue(errors / testSet.size() < 1);\n }\n }", "@Test\n public void test20() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.kappa();\n assertEquals(1.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test(timeout = 4000)\n public void test006() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedAreaUnderPRC();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test\r\n\tpublic void testDistancia0() \r\n\t{\r\n\t\tAssert.assertEquals(1.41, new Ponto(3,3).dist(new Ponto(4,2)), EPSILON);\r\n\t\tAssert.assertEquals(26.20, new Ponto(-7,-4).dist(new Ponto(17,6.5)), EPSILON);\t\r\n\t\tAssert.assertEquals(0.00, new Ponto(0,0).dist(new Ponto(0,0)), EPSILON);\t\r\n\t}", "@Test\n public void testMonsterOrder() {\n // Setup\n\n // Run the test\n modelUnderTest.monsterOrder();\n\n // Verify the results\n }", "@Test(timeout = 4000)\n public void test108() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.avgCost();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test106() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setDiscardPredictions(false);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertFalse(evaluation0.getDiscardPredictions());\n }", "@Test(timeout = 4000)\n public void test117() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test(timeout = 4000)\n public void test094() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n NaiveBayesMultinomialUpdateable naiveBayesMultinomialUpdateable0 = new NaiveBayesMultinomialUpdateable();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[0];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) naiveBayesMultinomialUpdateable0, instances0, objectArray0);\n try { \n evaluation0.evaluateModelOnce(doubleArray0, (Instance) null);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test\n public void test15() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanSchemeEntropy();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test081() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedTrueNegativeRate();\n assertEquals(Double.NaN, double0, 0.01);\n }", "@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test\n public void testNpara() {\n System.out.println(\"npara\");\n NegativeBinomialDistribution instance = new NegativeBinomialDistribution(3, 0.3);\n instance.rand();\n assertEquals(2, instance.npara());\n }", "@Test(timeout = 4000)\n public void test120() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctIncorrect();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test051() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.addNumericTrainClass(0.0, Double.NaN);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test039() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.falseNegativeRate(121);\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test(timeout = 4000)\n public void test126() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.totalCost();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n\tpublic void testGetSessieDuur(){\n\t\tdouble expResult = 1;\n\t\tassertTrue(expResult == instance.getSessieDuur());\n\t}", "@Test\n public void DataSmoothTest42() {\n\t LinkedList<Double> runtimes4 = D2.dataSmooth(emptyShows);\n\t \n\t for(int i = 0; i < runtimes4.size(); i++) {\n\t\t assertEquals(runtimes4.get(i), emptyShowResults.get(i), 0.01);\n\t }\n }", "@Test(timeout = 4000)\n public void test083() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }", "@Test void noisy() {\n\t\tstandardScene();\n\t\tsimulateScene(0);\n\n\t\tvar alg = new DistanceMetricTripleReprojection23();\n\n\t\tvar model = new MetricCameraTriple();\n\t\tmodel.view1.setTo(cameraA);\n\t\tmodel.view2.setTo(cameraB);\n\t\tmodel.view3.setTo(cameraC);\n\t\tmodel.view_1_to_2.setTo(truthView_1_to_i(1));\n\t\tmodel.view_1_to_3.setTo(truthView_1_to_i(2));\n\n\t\tmodel.view3.fx += 40; // this will mess things up a bit\n\n\t\talg.setModel(model);\n\n\t\tvar set = observations3.subList(0, 20);\n\t\tvar distances = new double[set.size()];\n\t\talg.distances(set, distances);\n\t\tfor (int i = 0; i < distances.length; i++) {\n\t\t\tassertTrue(distances[i] != 0.0);\n\t\t\tassertEquals(distances[i], alg.distance(set.get(i)), UtilEjml.TEST_F64);\n\t\t}\n\t}", "@Test(timeout = 4000)\n public void test031() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numFalseNegatives((-1436));\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }", "public void SOM() {\n // Pick an input vector randomly.\n // A input vector can't be picked twice in a row.\n ArrayList<Double> oldVector = new ArrayList<>();\n ArrayList<Double> vector;\n\n for (int t = 0; t < this.nbIterations; t++) {\n\n // Choose another entry vector than the previous one.\n do {\n int randomInput = (int) (Math.random() this.input.size());\n vector = this.input.get(randomInput);\n } while (oldVector.equals(vector));\n\n // The old vector is replaced by the new one.\n oldVector = new ArrayList<>(vector);\n\n // Calculation of BMU (Best Matching Unit).\n Neuron BMU = this.getBMU(vector);\n\n // Update the BMU's neighbors.\n this.updateNeighbors(BMU, vector, t);\n\n // Update the screen.\n this.screen.repaint();\n // Sleep for the animation.\n try {\n Thread.sleep(10);\n }\n catch (InterruptedException e) {\n System.out.println(\"Erreur sleep : \" + e);\n }\n }\n }", "@Test(timeout = 4000)\n public void test013() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\r\n void getStations() {\r\n List<Station> stations = model.getStations();\r\n assertNotNull(stations);\r\n assertEquals(124, stations.size());\r\n assertEquals(stations.get(0).getName(), \"OakGrove\");\r\n assertEquals(stations.get(52).getName(), \"Prudential\");\r\n assertEquals(stations.get(123).getName(), \"Braintree\");\r\n }", "@Test\n public void testParseNG20() throws Exception {\n System.out.println(\"NG20\");\n LibsvmParser parser = new LibsvmParser();\n try {\n SparseDataset train = parser.parse(\"NG20 Train\", this.getClass().getResourceAsStream(\"/smile/data/libsvm/news20.dat\"));\n SparseDataset test = parser.parse(\"NG20 Test\", this.getClass().getResourceAsStream(\"/smile/data/libsvm/news20.t.dat\"));\n int[] y = train.toArray(new int[train.size()]);\n int[] testy = test.toArray(new int[test.size()]);\n \n SIB sib = new SIB(train, 20, 100, 8);\n System.out.println(sib);\n \n AdjustedRandIndex ari = new AdjustedRandIndex();\n RandIndex rand = new RandIndex();\n double r = rand.measure(y, sib.getClusterLabel());\n double r2 = ari.measure(y, sib.getClusterLabel());\n System.out.format(\"Training rand index = %.2f%%\\tadjusted rand index = %.2f%%\\n\", 100.0 * r, 100.0 * r2);\n assertTrue(r > 0.85);\n assertTrue(r2 > 0.2);\n \n int[] p = new int[test.size()];\n for (int i = 0; i < test.size(); i++) {\n p[i] = sib.predict(test.get(i).x);\n }\n \n r = rand.measure(testy, p);\n r2 = ari.measure(testy, p);\n System.out.format(\"Testing rand index = %.2f%%\\tadjusted rand index = %.2f%%\\n\", 100.0 * r, 100.0 * r2);\n assertTrue(r > 0.85);\n assertTrue(r2 > 0.2);\n } catch (Exception ex) {\n System.err.println(ex);\n }\n }", "@Test\n public void testMean() {\n System.out.println(\"mean\");\n NegativeBinomialDistribution instance = new NegativeBinomialDistribution(3, 0.3);\n instance.rand();\n assertEquals(7, instance.mean(), 1E-7);\n }", "@Test\n public void testImprimirStatistics()\n {\n //this.linealRegressionCalculator.printStatistics();\n }", "@Test(timeout = 4000)\n public void test122() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"Y#:')#rI\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numInstances();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }", "@Test\n public void trainWithMasterSplinterTest() {\n\n }", "public SimpleRegression(TDistribution t) {\n super();\n setDistribution(t);\n }", "@Test(timeout = 4000)\n public void test080() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedFalseNegativeRate();\n assertEquals(Double.NaN, double0, 0.01);\n }", "@Test(timeout = 4000)\n public void test09() throws Throwable {\n Discretize discretize0 = new Discretize(\"W5D<hSCW\|8@I\");\n int[] intArray0 = new int[9];\n intArray0[0] = (-1405);\n intArray0[1] = (-2938);\n intArray0[2] = (-1954);\n intArray0[3] = 9;\n intArray0[4] = 66;\n intArray0[5] = 573;\n intArray0[6] = 0;\n intArray0[7] = (-71);\n intArray0[8] = 99;\n discretize0.setAttributeIndicesArray(intArray0);\n assertFalse(discretize0.getFindNumBins());\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }", "@Test\n public void test10() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"xx\\\"qa7Q>h6u=;6s.h+.<\");\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.weightedFalsePositiveRate();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }", "@Test(timeout = 4000)\n public void test057() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[0];\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance((-737.608359939284), doubleArray0);\n try { \n evaluation0.evaluationForSingleInstance(doubleArray0, binarySparseInstance0, false);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test\n public void shouldFindCorrectSwitchYear() {\n Data coalMiningDisasterData = Data.load(\"coal-mining-disaster-data.csv\");\n\n //create my model using the data\n Model model = new Model(coalMiningDisasterData);\n model.run();\n\n int switchYear = model.results.getIntegerTensorSamples(model.switchpoint).getScalarMode();\n\n assertEquals(switchYear, 1890);\n }", "private void loadSimulatedNormalData() throws Exception {\n setLowestMeasuredPercentile(1.0);\n\n setSampleCount(sentinelA, 1000);\n setSampleCount(sentinelB, 1000);\n setSampleCount(sentinelC, 1000);\n setSampleCount(sentinelD, 1000);\n setSampleCount(sentinelE, 1000);\n\n when(mbeanServer.getAttribute(sentinelA, \"50thPercentile\")).thenReturn(1.0);\n when(mbeanServer.getAttribute(sentinelB, \"75thPercentile\")).thenReturn(1.0);\n when(mbeanServer.getAttribute(sentinelC, \"75thPercentile\")).thenReturn(1.0);\n when(mbeanServer.getAttribute(sentinelD, \"75thPercentile\")).thenReturn(1.0);\n when(mbeanServer.getAttribute(sentinelE, \"75thPercentile\")).thenReturn(1.0);\n\n when(mbeanServer.isRegistered(sentinelA)).thenReturn(Boolean.TRUE);\n when(mbeanServer.isRegistered(sentinelB)).thenReturn(Boolean.TRUE);\n when(mbeanServer.isRegistered(sentinelC)).thenReturn(Boolean.TRUE);\n when(mbeanServer.isRegistered(sentinelD)).thenReturn(Boolean.TRUE);\n when(mbeanServer.isRegistered(sentinelE)).thenReturn(Boolean.TRUE);\n\n System.out.println(\"Start manual evaluation ...\");\n qosHandler.evaluateQoSActions();\n }", "@Test\n public void testApproximation() {\n int N = 100;\n Mesh mesh = new Mesh(equation.t0, equation.tN, N);\n Noise noise = new Noise(mesh, 10);\n\n // We will use SDG method to approximate with a polynomial degree of p = 4.\n int p = 4;\n SDG sdg = new SDG();\n ApproxGlobal approxGlobal = sdg.Solve(equation, noise, mesh, p);\n\n // For every element, we check that the approximation at the endpoint is within 10e-10\n // of the analytical solution.\n for(int i = 0; i < approxGlobal.localApproximations.length; i++){\n ApproxLocal local = approxGlobal.localApproximations[i];\n\n double totalNoise = noise.sumUntil(i);\n double t = mesh.elements[i].upperEndpoint;\n\n double expected = this.equation.exactSolution(t, totalNoise);\n double actual = local.terminal();\n\n assertEquals(expected, actual, 10e-10);\n }\n }", "public void calculate(Set<Article> articles) {\n \n Set<ArticleDocument> articleDocuments = new HashSet<>();\n for (Article article : articles) {\n articleDocuments.add(article.getDocument());\n }\n \n VSMDocument positiveWords = new TextDocument(\"positive_words.txt\");\n VSMDocument negativeWords = new TextDocument(\"negative_words.txt\");\n \n ArrayList<VSMDocument> documents = new ArrayList<VSMDocument>();\n documents.add(positiveWords);\n documents.add(negativeWords);\n documents.addAll(articleDocuments);\n \n Corpus corpus = new Corpus(documents);\n \n VectorSpaceModel vectorSpace = new VectorSpaceModel(corpus);\n \n double totalPositive = 0;\n double totalNegative = 0;\n \n \n for(ArticleDocument articleDoc : articleDocuments) {\n VSMDocument doc = (VSMDocument) articleDoc;\n System.out.println(\"\\nComparing to \" + doc);\n double positive = vectorSpace.cosineSimilarity(positiveWords, doc);\n double negative = vectorSpace.cosineSimilarity(negativeWords, doc);\n System.out.println(\"Positive: \" + positive);\n System.out.println(\"Negative: \" + negative);\n if (!Double.isNaN(positive)) {\n totalPositive += positive;\n }\n if (!Double.isNaN(negative)) {\n totalNegative += negative;\n }\n double difference = positive - negative;\n if (difference >= 0) {\n System.out.println(\"More positive by \" + difference);\n } else {\n System.out.println(\"More negative by \" + Math.abs(difference));\n }\n \n if (positive >= mostPositive) {\n mostPositive = positive;\n mostPositiveDoc = doc;\n }\n if (negative >= mostNegative) {\n mostNegative = negative;\n mostNegativeDoc = doc;\n }\n if (Math.abs(difference) >= Math.abs(biggestDifference)) {\n biggestDifference = difference;\n biggestDifferenceDoc = doc;\n }\n \n String publisher = articleDoc.getPublisher();\n String region = articleDoc.getRegion();\n LocalDate day = articleDoc.getDate().toLocalDate();\n DayOfWeek weekday = day.getDayOfWeek();\n if (!Double.isNaN(positive)) {\n if (publisherOptimism.containsKey(publisher)) {\n publisherOptimism.get(publisher).add(positive);\n } else {\n publisherOptimism.put(publisher, new LinkedList<Double>());\n publisherOptimism.get(publisher).add(positive);\n }\n \n if (publisherPessimism.containsKey(publisher)) {\n publisherPessimism.get(publisher).add(negative);\n } else {\n publisherPessimism.put(publisher, new LinkedList<Double>());\n publisherPessimism.get(publisher).add(negative);\n }\n \n if (regionOptimism.containsKey(region)) {\n regionOptimism.get(region).add(positive);\n } else {\n regionOptimism.put(region, new LinkedList<Double>());\n regionOptimism.get(region).add(positive);\n }\n \n if (regionPessimism.containsKey(region)) {\n regionPessimism.get(region).add(negative);\n } else {\n regionPessimism.put(region, new LinkedList<Double>());\n regionPessimism.get(region).add(negative);\n }\n \n if (dayOptimism.containsKey(day)) {\n dayOptimism.get(day).add(positive);\n } else {\n dayOptimism.put(day, new LinkedList<Double>());\n dayOptimism.get(day).add(positive);\n }\n \n if (dayPessimism.containsKey(day)) {\n dayPessimism.get(day).add(negative);\n } else {\n dayPessimism.put(day, new LinkedList<Double>());\n dayPessimism.get(day).add(negative);\n }\n \n if (weekdayOptimism.containsKey(weekday)) {\n weekdayOptimism.get(weekday).add(positive);\n } else {\n weekdayOptimism.put(weekday, new LinkedList<Double>());\n weekdayOptimism.get(weekday).add(positive);\n }\n \n if (weekdayPessimism.containsKey(weekday)) {\n weekdayPessimism.get(weekday).add(negative);\n } else {\n weekdayPessimism.put(weekday, new LinkedList<Double>());\n weekdayPessimism.get(weekday).add(negative);\n }\n }\n }\n \n size = articleDocuments.size();\n avgPositive = totalPositive / size;\n avgNegative = totalNegative / size;\n printInfo();\n }", "@Test\n public void testVar() {\n System.out.println(\"var\");\n NegativeBinomialDistribution instance = new NegativeBinomialDistribution(3, 0.3);\n instance.rand();\n assertEquals(7/0.3, instance.var(), 1E-7);\n }", "public void kolmogorovSmirnovTest(double cutoff, MWBMatchingAlgorithm mwbm) {\n double p = 0;\n\n KolmogorovSmirnovTest t = new KolmogorovSmirnovTest();\n for (int i = 0; i < this.train.numAttributes(); i++) {\n for (int j = 0; j < this.test.numAttributes(); j++) {\n // negative infinity counts as not present, we do this so we don't have to map\n // between attribute indexs in weka\n // and the result of the mwbm computation\n mwbm.setWeight(i, j, Double.NEGATIVE_INFINITY);\n\n // class attributes are not relevant\n if (this.test.classIndex() == j) {\n continue;\n }\n if (this.train.classIndex() == i) {\n continue;\n }\n\n // this may invoke exactP on small sample sizes which will not terminate in all\n // cases\n // p = t.kolmogorovSmirnovTest(this.train_values.get(i),\n // this.test_values.get(j), false);\n\n // this uses approximateP everytime\n p = t.approximateP(\n t.kolmogorovSmirnovStatistic(this.train_values.get(i),\n this.test_values.get(j)),\n this.train_values.get(i).length,\n this.test_values.get(j).length);\n if (p > cutoff) {\n mwbm.setWeight(i, j, p);\n }\n }\n }\n }" ]	[ "0.70543385", "0.6037696", "0.5978993", "0.58923346", "0.5889022", "0.5795521", "0.5713222", "0.5701155", "0.5678063", "0.56685793", "0.5620291", "0.56018084", "0.558944", "0.557813", "0.55670446", "0.55551124", "0.5530477", "0.5522407", "0.55131125", "0.5486328", "0.5484399", "0.54820484", "0.54794747", "0.54757273", "0.54714304", "0.54253316", "0.5423747", "0.54177094", "0.53981805", "0.5389639", "0.5368419", "0.535351", "0.53523785", "0.5345304", "0.53448504", "0.5331744", "0.5327506", "0.5324454", "0.5307665", "0.5303988", "0.5303603", "0.5290977", "0.5273912", "0.52720237", "0.52701175", "0.5255337", "0.5250323", "0.5243936", "0.5238305", "0.5236722", "0.52291256", "0.5226292", "0.52137744", "0.52121353", "0.5202838", "0.5178335", "0.51745355", "0.5160753", "0.5155368", "0.5150266", "0.5145073", "0.5138103", "0.5132817", "0.5130524", "0.5128964", "0.5128516", "0.51061124", "0.50965184", "0.5079768", "0.5076417", "0.5075427", "0.50714123", "0.5068441", "0.5052237", "0.50490224", "0.5045135", "0.50364137", "0.50205946", "0.50155574", "0.5009684", "0.50002694", "0.49960345", "0.49945396", "0.49927443", "0.4982163", "0.4978734", "0.49644694", "0.49629685", "0.49611875", "0.4958748", "0.4943515", "0.49388102", "0.49319118", "0.49307227", "0.49303797", "0.49300295", "0.49155226", "0.4915292", "0.49147844", "0.49140537" ]	0.7983763	0
Test of stationaryDistributionRevQuick method, of class MarkovModelUtilities.	@Test public void testStationaryDistributionRevQuick() { IDoubleArray T = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.stationaryDistributionRevQuick(T); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testStationaryDistribution()\n {\n try\n {\n IDoubleArray T = Doubles.create.fromFile(inputT1);\n IDoubleArray expResult = Doubles.create.fromFile(inputT1_pi); \n IDoubleArray pi = MarkovModel.util.stationaryDistribution(T);\n assertEqual(pi, expResult, 1e-5);\n }\n catch(IOException e)\n {\n \n e.printStackTrace();\n }\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void test() {\n\t\tdouble delta = 0.00001;\n\t\tSnp fakeSnp1 = new Snp(\"fakeId1\", 0, 0.3);\n\t\tSnp fakeSnp2 = new Snp(\"fakeId2\", 0, 0.8);\n\t\tSnp fakeSnp3 = new Snp(\"fakeId3\", 0, 1.4);\n\t\tPascal.set.withZScore_=true;\n\t\tArrayList<Snp> geneSnps = new ArrayList<Snp>();\n\t\tgeneSnps.add(fakeSnp1);geneSnps.add(fakeSnp2);geneSnps.add(fakeSnp3);\n\t\tDenseMatrix ld= new DenseMatrix(3,3);\n\t\t//DenseMatrix crossLd= new DenseMatrix(3,2);\n\t\t\n\t\tArrayList<Double> snpScores = new ArrayList<Double>(3);\n\t\tsnpScores.add(fakeSnp1.getZscore());\n\t\tsnpScores.add(fakeSnp2.getZscore());\n\t\tsnpScores.add(fakeSnp3.getZscore());\n\t\t//ld and crossLd calculated as follows:\n\t\t// make 0.9-toeplitz mat of size 5.\n\t\t// 3,4,5 for ld-mat\n\t\t// 1,2 for crossLd-mat\n\t\tld.set(0,0,1);ld.set(1,1,1);ld.set(2,2,1);\n\t\tld.set(0,1,0.9);ld.set(1,2,0.9);\n\t\tld.set(1,0,0.9);ld.set(2,1,0.9);\n\t\tld.set(0,2,0.81);\n\t\tld.set(2,0,0.81);\n\t\tdouble[] weights = {2,2,2};\n\t\tAnalyticVegas myAnalyticObj= null;\n\t\t//UpperSymmDenseMatrix myMatToDecompose = null;\n\t\tdouble[] myEigenvals = null;\n\t\tdouble[] emptyWeights = {1,1,1};\n\t\tmyAnalyticObj= new AnalyticVegas(snpScores, ld, emptyWeights);\n\t\tmyAnalyticObj.computeScore();\n\t\tmyEigenvals = myAnalyticObj.computeLambda();\n\t\tassertEquals(myEigenvals[0],2.74067, delta);\n\t\tassertEquals(myEigenvals[1],0.1900, delta);\n\t\tassertEquals(myEigenvals[2],0.06932, delta);\n\t\t\n\t\tmyAnalyticObj= new AnalyticVegas(snpScores, ld, weights);\n\t\tmyAnalyticObj.computeScore();\n\t\tmyEigenvals = myAnalyticObj.computeLambda();\t\t\t\n\t\tassertEquals(myEigenvals[0], 5.481348, delta);\n\t\tassertEquals(myEigenvals[1],0.380000, delta);\n\t\tassertEquals(myEigenvals[2],0.138652, delta);\n\t\t\t\n\t\tdouble[] weights2 = {1,2,0.5};\n\t\t\n\t\tmyAnalyticObj= new AnalyticVegas(snpScores, ld, weights2);\n\t\tmyAnalyticObj.computeScore();\n\t\tmyEigenvals = myAnalyticObj.computeLambda();\t\t\n\t\tassertEquals(myEigenvals[0],3.27694674, delta);\n\t\tassertEquals(myEigenvals[1],0.1492338, delta);\n\t\tassertEquals(myEigenvals[2],0.07381938, delta);\t\t\t\n\t\t\n\t}", "public boolean doEstimate(Node node, double[] result) {\r\n makeVector(node,tmpVector);\r\n try\r\n {\r\n double[] dist = classifier.distributionForInstance(testInstance);\r\n System.arraycopy(dist,0,result,0,dist.length);\r\n }\r\n catch(Exception e)\r\n {\r\n throw new RuntimeException(\"failed to estimate distribution for given node\",e);\r\n }\r\n return true;\r\n }", "@Test\n public void testSd() {\n System.out.println(\"sd\");\n NegativeBinomialDistribution instance = new NegativeBinomialDistribution(3, 0.3);\n instance.rand();\n assertEquals(Math.sqrt(7/0.3), instance.sd(), 1E-7);\n }", "@Test\n public void testEstimateTrev_IDoubleArray_IDoubleArray()\n {\n IDoubleArray counts = null;\n IDoubleArray piFixed = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateTrev(counts, piFixed);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void testRepeatibleDynamics() throws IOException, PropertiesException {\n\n\t\t\n\t\t// INSTANTIATE benchmark \n\t\tProperties props = PropertiesUtil.setpointProperties(new File (\"src/main/resources/sim.properties\"));\n\t\tSetPointGenerator lg = new SetPointGenerator (props);\n\t\tList<ExternalDriver> externalDrivers = new ArrayList<ExternalDriver>();\n\t\texternalDrivers.add(lg);\n\t\tIndustrialBenchmarkDynamics d = new IndustrialBenchmarkDynamics (props, externalDrivers);\n\t\tRandom actionRand = new Random(System.currentTimeMillis());\n \n // 1) do 100000 random steps, in order to initialize dynamics\n\t\tfinal ActionDelta action = new ActionDelta(0.001f, 0.001f, 0.001f); \n\t\tfor (int i=0; i<INIT_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t}\n\t\t\n\t\t// 2) memorize current observable state and current markov state\n\t\tfinal ObservableState os = d.getState();\n\t\tfinal DataVector ms = d.getInternalMarkovState();\n\t\tSystem.out.println (\"init o-state: \" + os.toString());\n\t\tSystem.out.println (\"init m-state: \" + ms.toString());\n\t\t\n\t\t\n\t\t// 3) perform test trajectory and memorize states\n\t\tactionRand.setSeed(ACTION_SEED);\n\t\tDataVector oStates[] = new DataVector[MEM_STEPS];\n\t\tDataVector mStates[] = new DataVector[MEM_STEPS];\n\t\t\t\t\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t\toStates[i] = d.getState();\n\t\t\tmStates[i] = d.getInternalMarkovState();\n\t\t}\n\t\t\n\t\t// 4) reset dynamics & parameters and internal markov state\n\t\td.reset();\n\t\td.setInternalMarkovState(ms);\n\t\t\n\t\t// 5) reperform test and check if values are consistent\n\t\tactionRand.setSeed(ACTION_SEED); // reproduce action sequence\n\t\tDataVector oState = null;\n\t\tDataVector mState = null;\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\t\n\t\t\td.step(action);\n\t\t\toState = d.getState();\n\t\t\tmState = d.getInternalMarkovState();\n\t\t\t\n\t\t\t// check observable state\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.SetPoint), oState.getValue(ObservableStateDescription.SetPoint), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Fatigue), oState.getValue(ObservableStateDescription.Fatigue), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Consumption), oState.getValue(ObservableStateDescription.Consumption), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.RewardTotal), oState.getValue(ObservableStateDescription.RewardTotal), 0.0001);\n\n\t\t\t// \n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.CurrentOperationalCost), mState.getValue(MarkovianStateDescription.CurrentOperationalCost), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent2), mState.getValue(MarkovianStateDescription.FatigueLatent2), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent1), mState.getValue(MarkovianStateDescription.FatigueLatent1), 0.0001);\n\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionGainBeta), mState.getValue(MarkovianStateDescription.EffectiveActionGainBeta), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), mState.getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveShift), mState.getValue(MarkovianStateDescription.EffectiveShift), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.MisCalibration), mState.getValue(MarkovianStateDescription.MisCalibration), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), mState.getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardFatigue), mState.getValue(MarkovianStateDescription.RewardFatigue), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardConsumption), mState.getValue(MarkovianStateDescription.RewardConsumption), 0.0001);\n\t\t}\n\t\t\n\t\tSystem.out.println (\"last o-state 1st trajectory: \" + oStates[oStates.length-1]);\n\t\tSystem.out.println (\"last o-state 2nd trajectory: \" + oState);\n\t\t\n\t\tSystem.out.println (\"last m-state 1st trajectory: \" + mStates[oStates.length-1]);\n\t\tSystem.out.println (\"last m-state 2nd trajectory: \" + mState);\n\t}", "@Test\r\n public void testGetNDMValues() {\r\n System.out.println(\"getNDMValues\");\r\n NDM instance = null;\r\n Vector<Double> expResult = null;\r\n //Vector<Double> result = instance.getNDMValues();\r\n //assertEquals(expResult, result);\r\n // TODO review the generated test code and remove the default call to fail.\r\n //fail(\"The test case is a prototype.\");\r\n }", "@Test\n public void test22() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n FastVector fastVector0 = evaluation0.predictions();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test\n public void test14() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFEntropyGain();\n assertEquals(0.0, double0, 0.01D);\n }", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void test17() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFPriorEntropy();\n assertEquals(0.0, double0, 0.01D);\n }", "@Test(timeout = 4000)\n public void test057() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[0];\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance((-737.608359939284), doubleArray0);\n try { \n evaluation0.evaluationForSingleInstance(doubleArray0, binarySparseInstance0, false);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test\n public void test23() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n SerializedClassifier serializedClassifier0 = new SerializedClassifier();\n Object[] objectArray0 = new Object[25];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) serializedClassifier0, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test\n\tpublic void testUniformRWR() {\n\t\tlog.debug(\"Test logging\");\n\t\tint maxT = 10;\n\t\t\n\t\tAnnotatedGraph<String> g = brGraphs.get(0);\n\t\t\n\t\tTreeMap<String,Double> startVec = new TreeMap<String,Double>();\n\t\tstartVec.put(\"r0\",1.0);\n\t\tMap<String,Double> baseLineVec = myRWR(startVec,g,maxT);\n\t\tTreeMap<String,Double>uniformWeightVec = new TreeMap<String,Double>();\n\t\tuniformWeightVec.put(\"fromb\",1.0);\n\t\tuniformWeightVec.put(\"tob\",1.0);\n\t\tuniformWeightVec.put(\"fromr\",1.0);\n\t\tuniformWeightVec.put(\"tor\",1.0);\n\t\tuniformWeightVec.put(\"restart\",1.0);\n\t\tMap<String,Double> newVec = srw.rwrUsingFeatures(g, startVec, uniformWeightVec);\n\t\tequalScores(baseLineVec,newVec);\n\t}", "@Test\n public void test_IsOxideCorr() {\n System.out.println(\"Testing MeasuredRatioModel's isOxideCorr()\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = false;\n boolean result = instance.isOxideCorr();\n assertEquals(expResult, result);\n instance = new MeasuredRatioModel(\"Specific\",new BigDecimal(\"213\"),\"ABS\",new BigDecimal(\"0.4324\"),true,true);\n result = instance.isOxideCorr();\n expResult=true;\n assertEquals(expResult, result);\n }", "@Test(timeout = 4000)\n public void test017() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n GaussianProcesses gaussianProcesses0 = new GaussianProcesses();\n double[] doubleArray0 = new double[5];\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1.0, doubleArray0);\n try { \n evaluation0.updateStatsForConditionalDensityEstimator(gaussianProcesses0, binarySparseInstance0, 680.667851151);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.classifiers.functions.GaussianProcesses\", e);\n }\n }", "@Test(timeout = 4000)\n public void test116() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\n }", "@Test(timeout = 4000)\n public void test058() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(1752);\n double[] doubleArray0 = new double[9];\n try { \n evaluation0.evaluateModelOnce(doubleArray0, (Instance) binarySparseInstance0);\n fail(\"Expecting exception: RuntimeException\");\n \n } catch(RuntimeException e) {\n //\n // DenseInstance doesn't have access to a dataset!\n //\n verifyException(\"weka.core.AbstractInstance\", e);\n }\n }", "@Test\r\n\tpublic void calculQualityAxisWithLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculTestOfStudentQualityAxis(new ModelValue(4f, 2f), 3f), new Float(2));\r\n\t}", "@Test\r\n\tpublic void calculQualityAxisWithNoLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculTestOfStudentQualityAxis(new ModelValue(4f, 2f), 4f), new Float(0));\r\n\t}", "@Test\n public void testTrain_RegressionDataSet() {\n System.out.println(\"train\");\n RegressionDataSet trainSet = FixedProblems.getSimpleRegression1(150, new Random(2));\n RegressionDataSet testSet = FixedProblems.getSimpleRegression1(50, new Random(3));\n\n for (boolean modification1 : new boolean[] { true, false })\n for (SupportVectorLearner.CacheMode cacheMode : SupportVectorLearner.CacheMode.values()) {\n PlattSMO smo = new PlattSMO(new RBFKernel(0.5));\n smo.setCacheMode(cacheMode);\n smo.setC(1);\n smo.setEpsilon(0.1);\n smo.setModificationOne(modification1);\n smo.train(trainSet);\n\n double errors = 0;\n for (int i = 0; i < testSet.size(); i++)\n errors += Math.pow(testSet.getTargetValue(i) - smo.regress(testSet.getDataPoint(i)), 2);\n assertTrue(errors / testSet.size() < 1);\n }\n }", "@Test\n public void test23() throws Throwable {\n double double0 = UnivariateRealSolverUtils.midpoint((-1052.8959089), (-1052.8959089));\n assertEquals((-1052.8959089), double0, 0.01D);\n }", "@Test\n public void test09() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedFalseNegativeRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test074() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.makeDistribution(Double.NaN);\n assertNotNull(doubleArray0);\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test\n\tpublic void test() {\n\t\tRandomVariableDefinition RV_DEF_X = new RandomVariableDefinition(\"DEF_X\", Arrays.asList(\"x0\", \"x1\", \"x2\"));\n\t\tRandomVariableDefinition RV_DEF_Y = new RandomVariableDefinition(\"DEF_Y\", Arrays.asList(\"y0\", \"y1\"));\n\t\tRandomVariableDefinition RV_DEF_Z = new RandomVariableDefinition(\"DEF_Y\", Arrays.asList(\"z0\", \"z1\"));\n\n\t\t///////////////////////////////////\n\t\t// define the local probability models\n\t\tLocalProbabilityModel X = new LocalProbabilityModel(\"X\");\n\t\tLocalProbabilityModel Y = new LocalProbabilityModel(\"Y\");\n\t\tLocalProbabilityModel Z = new LocalProbabilityModel(\"Z\");\n\t\tLocalProbabilityModel X1 = new LocalProbabilityModel(\"X1\");\n\t\tLocalProbabilityModel X2 = new LocalProbabilityModel(\"X2\");\n\t\tLocalProbabilityModel X3 = new LocalProbabilityModel(\"X3\");\n\t\tLocalProbabilityModel X7 = new LocalProbabilityModel(\"X7\");\n\t\t\n\t\t////////////////////////////////\n\t\t// specify target variable type, and dependencies\n\t\t\n\t\t// two a-priori variables - target only, no dependencies\n\t\tX.setTargetAndDependencies(RV_DEF_X, null);\n\t\tY.setTargetAndDependencies(RV_DEF_Y, null);\n\t\t\n\t\t// a LPM conditionally dependent on two variables\n\t\tZ.setTargetAndDependencies(RV_DEF_Z, Arrays.asList(X, Y));\n\n\t\t// a LPM conditionally dependent on several variables of the same type\n\t\tX3.setTargetAndDependencies(RV_DEF_X, Arrays.asList(X1, X2));\n\n\t\t// a LPM conditionally dependent on itself (i.e. a state variable)\n\t\tX7.setTargetAndDependencies(RV_DEF_X, Arrays.asList(X7));\n\n\t\n\t\t// the first has no dependencies just values\n\t\tX.setValue(\"x0\", 0.6);\n\t\tX.setValue(\"x1\", 0.1);\n\t\tX.setValue(\"x2\", 0.1);\n\n\t\t// the second has dependencies\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x0\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x0\"), Y.event(\"y1\")), 0.3);\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x1\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x1\"), Y.event(\"y1\")), 0.3);\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x2\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x2\"), Y.event(\"y1\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x0\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x0\"), Y.event(\"y1\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x1\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x1\"), Y.event(\"y1\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x2\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x2\"), Y.event(\"y1\")), 0.3);\n\n\t\t// the third has a recurrent dependency\n\t\tX1.setValue(\"x0\", Arrays.asList(X1.event(\"x0\")), 0.1);\n\t\tX1.setValue(\"x0\", Arrays.asList(X1.event(\"x1\")), 0.1);\n\t\tX1.setValue(\"x1\", Arrays.asList(X1.event(\"x0\")), 0.1);\n\t\tX1.setValue(\"x1\", Arrays.asList(X1.event(\"x1\")), 0.1);\n\t\t\n\t\t\n\t\t\n\t\t/ NOTE - should we enforce that a conditional probability should always be 'set' with requirement that the conditioning variables should all be identified ? /\n\t\t// this would be Z.setValue(\n\t//\tZ.setValue(Arrays.asList(X.event(\"x0\"), Y.event(\"y0\")),\n\t//\t\t\tArrays.asList(\n\t//\t\t\t\t\t\"z0\", 0.5,\n\t//\t\t\t\t\t\"z1\", 0.3,\n\t//\t\t\t\t\t\"z2\", 0.7));\n\n\n\n\t\tString s = Z.toString();\n\t\tSystem.out.println(\"==============\\n\" + s);\n\n\t\tSystem.out.println(\"done\");\n\n\n\t}", "@Test(timeout = 4000)\n public void test072() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[7];\n evaluation0.updateMargins(doubleArray0, 3, (-1));\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test(timeout = 4000)\n public void test093() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[2];\n evaluation0.evaluateModel((Classifier) null, instances0, objectArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "public boolean reproducirse() {\n r = new Random();\r\n return Float.compare(r.nextFloat(), probReproducirse) <= 0;\r\n }", "@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n public void test03() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[19];\n evaluation0.updateMargins(doubleArray0, 0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test073() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.m_ClassIsNominal = false;\n // Undeclared exception!\n try { \n evaluation0.makeDistribution((-2957.82113));\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test\n public void test21() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.errorRate();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testIsReversible_IDoubleArray()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isReversible(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void testGetSessieDuur(){\n\t\tdouble expResult = 1;\n\t\tassertTrue(expResult == instance.getSessieDuur());\n\t}", "@Test(timeout = 4000)\n public void test001() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedTruePositiveRate();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }", "@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n public void testFingerprintAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintAutocorrelation(M, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test002() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedMatthewsCorrelation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test27() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n double[] doubleArray0 = new double[1];\n SparseInstance sparseInstance0 = new SparseInstance(5.0, doubleArray0);\n try { \n naiveBayesMultinomialText0.distributionForInstance(sparseInstance0);\n fail(\"Expecting exception: RuntimeException\");\n \n } catch(RuntimeException e) {\n //\n // DenseInstance doesn't have access to a dataset!\n //\n verifyException(\"weka.core.AbstractInstance\", e);\n }\n }", "@Test\r\n public void testCalculateNDM() {\r\n System.out.println(\"calculateNDM\");\r\n NDM instance = null;\r\n Double expResult = null;\r\n //Double result = instance.calculateNDM();\r\n //assertEquals(expResult, result);\r\n // TODO review the generated test code and remove the default call to fail.\r\n //fail(\"The test case is a prototype.\");\r\n }", "@Test\n public void test33() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.correct();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(0.0, double0, 0.01D);\n }", "@Test\n public void test13() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.SFMeanEntropyGain();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "public StandardSolution (long[] nums){\n \t\tsequence = nums;\n \t\tpartitions = new boolean[sequence.length];\n \t\t\n \t\tRandom rand = new Random();\n \t\tfor (int i = 0; i < partitions.length; i++){\n \t\t\t// worry about seeing?\n \t\t\tpartitions[i] = rand.nextBoolean();\n \t\t}\n \t}", "@Test\n public void test05() throws Throwable {\n double double0 = UnivariateRealSolverUtils.midpoint(0.0, 0.0);\n assertEquals(0.0, double0, 0.01D);\n }", "private Boolean simulationTerminee() {\n if (Evenements.size() != 0) \n return false;\n else\n return true;\n }", "public void testStableRotations() {\n\n // Get a random point (x, y, z) and axis through (a, b, c).\n double x = getRandom();\n double y = getRandom();\n double z = getRandom();\n a = getRandom();\n b = getRandom();\n c = getRandom();\n u = getRandom();\n v = getRandom();\n w = getRandom();\n\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n double distAxis = rM.distanceFromAxis(x, y, z);\n double distPt2 = (a-x)(a-x) + (b-y)(b-y) + (c-z)(c-z);\n\n double[] result = null;\n double resultDistAxis;\n double resultDistPt2;\n for(int i=0; i<200; i++) {\n theta = getRandom()pi;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(x, y, z);\n resultDistAxis\n = rM.distanceFromAxis(result[0], result[1], result[2]);\n // Rotations shouldn't change the distance from the axis.\n assertEquals(distAxis, resultDistAxis, TOLERANCE);\n\n // Rotations shouldn't change the distance from a fixed\n // point (a, b, c) on the axis.\n resultDistPt2 = (a-result[0])(a-result[0])\n + (b-result[1])(b-result[1]) + (c-result[2])(c-result[2]);\n assertEquals(distPt2, resultDistPt2, TOLERANCE);\n }\n }", "@Test\n public void test_SetOxideCorr() {\n System.out.println(\"Testing MeasuredRatioModel's setOxideCorr(boolean value)\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = true;\n instance.setOxideCorr(true);\n boolean result = instance.isOxideCorr();\n assertEquals(expResult, result);\n instance.setOxideCorr(false);\n result = instance.isOxideCorr();\n expResult=false;\n assertEquals(expResult, result);\n }", "public boolean checkSystem() {\n print(\"Testing ELEVATOR.--------------------------------------------------\");\n final double kCurrentThres = 0.5;\n if(getPosition() < 0){\n zeroPosition();\n }\n spx.set(ControlMode.PercentOutput, -0.1);\n srx.set(ControlMode.PercentOutput, -0.1);\n Timer.delay(0.2);\n srx.set(ControlMode.PercentOutput, 0.0);\n spx.set(ControlMode.PercentOutput, 0.0);\n Timer.delay(0.1);\n; srx.setNeutralMode(NeutralMode.Coast);\n spx.setNeutralMode(NeutralMode.Coast);\n\n double testSpeed = .75;\n double testDownSpeed = -0.05;\n double testUpTime = 1;\n\n\n if(getPosition() < 0){\n zeroPosition();\n }\n // test climber srx\n final double SRXintialEncoderPos = Math.abs(getPosition());\n srx.set(ControlMode.PercentOutput, testSpeed);\n Timer.delay(testUpTime);\n srx.set(ControlMode.PercentOutput, 0.0);\n final double currentSRX = RobotContainer.PDP.getCurrent(Constants.ELEVATOR_SRX_PDP);\n final double positionSRX = getPosition();\n //srx.set(ControlMode.PercentOutput, testDownSpeed);\n //Timer.delay(0.1);\n \n Timer.delay(2.0);\n\n if(getPosition() < 0){\n zeroPosition();\n }\n\n // Test climber spx\n final double SPXintialEncoderPos = Math.abs(getPosition());\n spx.set(ControlMode.PercentOutput, testSpeed);\n Timer.delay(testUpTime);\n final double currentSPX = RobotContainer.PDP.getCurrent(Constants.ELEVATOR_SPX_PDP);\n final double positionSPX = getPosition();\n spx.set(ControlMode.PercentOutput, testDownSpeed);\n Timer.delay(0.1);\n spx.set(ControlMode.PercentOutput, 0.0);\n\n Timer.delay(1.0);\n //Reset Motors\n spx.follow(srx); \n srx.setNeutralMode(NeutralMode.Brake);\n spx.setNeutralMode(NeutralMode.Brake);\n\n print(\"ELEVATOR SRX CURRENT: \" + currentSRX + \" SPX CURRENT: \" + currentSPX);\n print(\"ELEVATOR SRX ENCODER INIT POS: \" + SRXintialEncoderPos + \" END POS: \" + positionSRX);\n print(\"ELEVATOR SPX ENCODER INIT POS: \" + SRXintialEncoderPos + \" END POS: \" + positionSPX);\n\n boolean failure = false;\n\n print(\"!%!%#$!%@ - WRITE A TEST FOR THE ELEVATOR LIMIT SWITCHES!!!!!!!!!\");\n\n if (currentSRX < kCurrentThres) {\n failure = true;\n print(\"!!!!!!!!!!!!!!!!! ELEVATOR SRX Current Low !!!!!!!!!!!!!!!!!\");\n }\n\n if (currentSPX < kCurrentThres) {\n failure = true;\n print(\"!!!!!!!!!!!!!!!! ELEVATOR SPX Current Low !!!!!!!!!!!!!!!!!!!\");\n }\n\n if (!Util.allCloseTo(Arrays.asList(currentSRX, currentSPX), currentSRX, 5.0)) {\n failure = true;\n print(\"!!!!!!!!!!!!!!!! ELEVATOR Currents Different !!!!!!!!!!!!!!!!!\");\n }\n\n if (Math.abs(positionSRX - SRXintialEncoderPos) <= 0){\n failure = true;\n print(\"!!!!!!!!!!!! ELEVATOR Encoder didn't change position SRX !!!!!!!!!!!!!\");\n }\n\n if (Math.abs(positionSPX - SPXintialEncoderPos) <= 0){\n failure = true;\n print(\"!!!!!!!!!!!! ELEVATOR Encoder didn't change position SPX !!!!!!!!!!!!!\");\n }\n\n return failure;\n }", "@Test(timeout = 4000)\n public void test122() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"Y#:')#rI\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.numInstances();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(0.0, double0, 0.01);\n }", "@Test(timeout = 4000)\n public void test177() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getVisibleRowCount();\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n intArray0[1] = 1;\n intArray0[2] = 0;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(1, 2);\n resultMatrixGnuPlot0.getDefaultColNameWidth();\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n ResultMatrixGnuPlot resultMatrixGnuPlot2 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot2.setRowHidden(0, false);\n assertEquals(1, resultMatrixGnuPlot2.getVisibleRowCount());\n \n resultMatrixSignificance0.getDefaultShowStdDev();\n resultMatrixSignificance0.headerKeys();\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n }", "@Test(timeout = 4000)\n public void test114() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = evaluation0.getClassPriors();\n assertEquals(2, doubleArray0.length);\n assertNotNull(doubleArray0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test\n public void test10() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"xx\\\"qa7Q>h6u=;6s.h+.<\");\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.weightedFalsePositiveRate();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }", "@Test(timeout = 4000)\n public void test011() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unclassified();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test(timeout = 4000)\n public void test12() throws Throwable {\n Discretize discretize0 = new Discretize();\n String string0 = discretize0.getRevision();\n assertEquals(\"8964\", string0);\n assertFalse(discretize0.getUseEqualFrequency());\n assertFalse(discretize0.getUseBinNumbers());\n assertFalse(discretize0.getFindNumBins());\n assertEquals(10, discretize0.getBins());\n assertFalse(discretize0.getMakeBinary());\n assertEquals((-1.0), discretize0.getDesiredWeightOfInstancesPerInterval(), 0.01);\n }", "@Test\n public void test31() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedFMeasure();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n }", "@Test\n public void test01() throws Throwable {\n PegasusSolver pegasusSolver0 = new PegasusSolver(0.0, (-1060.0));\n Gaussian gaussian0 = new Gaussian();\n double double0 = pegasusSolver0.solve(4, (UnivariateRealFunction) gaussian0, 125.121193945018, (-2672.0), (-1060.0));\n }", "@Test(timeout = 4000)\n public void test094() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n NaiveBayesMultinomialUpdateable naiveBayesMultinomialUpdateable0 = new NaiveBayesMultinomialUpdateable();\n Evaluation evaluation0 = new Evaluation(instances0);\n Object[] objectArray0 = new Object[0];\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) naiveBayesMultinomialUpdateable0, instances0, objectArray0);\n try { \n evaluation0.evaluateModelOnce(doubleArray0, (Instance) null);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "public void SOM() {\n // Pick an input vector randomly.\n // A input vector can't be picked twice in a row.\n ArrayList<Double> oldVector = new ArrayList<>();\n ArrayList<Double> vector;\n\n for (int t = 0; t < this.nbIterations; t++) {\n\n // Choose another entry vector than the previous one.\n do {\n int randomInput = (int) (Math.random() this.input.size());\n vector = this.input.get(randomInput);\n } while (oldVector.equals(vector));\n\n // The old vector is replaced by the new one.\n oldVector = new ArrayList<>(vector);\n\n // Calculation of BMU (Best Matching Unit).\n Neuron BMU = this.getBMU(vector);\n\n // Update the BMU's neighbors.\n this.updateNeighbors(BMU, vector, t);\n\n // Update the screen.\n this.screen.repaint();\n // Sleep for the animation.\n try {\n Thread.sleep(10);\n }\n catch (InterruptedException e) {\n System.out.println(\"Erreur sleep : \" + e);\n }\n }\n }", "public static void experiment(String name) {\n \tString probName = \"NQueensProblem\";\n \tList<OptimizationAlgorithm> algs = new ArrayList<>();\n int[] ranges = new int[N];\n Random random = new Random(N);\n for (int i = 0; i < N; i++) {\n \tranges[i] = random.nextInt();\n }\n NQueensFitnessFunction ef = new NQueensFitnessFunction();\n Distribution odd = new DiscretePermutationDistribution(N);\n NeighborFunction nf = new SwapNeighbor();\n MutationFunction mf = new SwapMutation();\n CrossoverFunction cf = new SingleCrossOver();\n Distribution df = new DiscreteDependencyTree(.1); \n \n HillClimbingProblem hcp = new GenericHillClimbingProblem(ef, odd, nf);\n GeneticAlgorithmProblem gap = new GenericGeneticAlgorithmProblem(ef, odd, mf, cf);\n ProbabilisticOptimizationProblem pop = new GenericProbabilisticOptimizationProblem(ef, odd, df);\n \n RandomizedHillClimbing rhc = new RandomizedHillClimbing(hcp); \n SimulatedAnnealing sa = new SimulatedAnnealing(1E1, .1, hcp);\n StandardGeneticAlgorithm ga = new StandardGeneticAlgorithm(200, 0, 10, gap);\n MIMIC mimic = new MIMIC(200, 10, pop);\n \n algs.add(rhc);\n algs.add(sa);\n algs.add(ga);\n algs.add(mimic);\n Experiment newExp = new Experiment();\n \n newExp.experiments(algs, ef, name);\n \n // test temperature for SA\n String paramName = \"Temperature\";\n String algName = \"SA\";\n List<Double> params2 = new ArrayList<>();\n List<OptimizationAlgorithm> algsTest = new ArrayList<>();\n for (double i = 1.0; i < 100.5; i+=1.0){\n \tparams2.add(i);\n \tsa = new SimulatedAnnealing(i, .1, hcp);\n \talgsTest.add(sa);\n }\n newExp.optParams(algsTest, ef, paramName, null, params2, algName, probName);\n \n // test cooling rate for SA\n paramName = \"CoolingRate\";\n params2 = new ArrayList<>();\n algsTest = new ArrayList<>();\n for (double i = 0.01; i < 0.51; i+=0.005){\n \tparams2.add(i);\n \tsa = new SimulatedAnnealing(1E1, i, hcp);\n \talgsTest.add(sa);\n }\n newExp.optParams(algsTest, ef, paramName, null, params2, algName, probName);\n \n // test populationSize for GA\n paramName = \"populationSize\";\n algName = \"GA\";\n List<Integer> params1 = new ArrayList<>();\n algsTest = new ArrayList<>();\n for (int i = 10; i < 1001; i+=10){\n \tparams1.add(i);\n \tga = new StandardGeneticAlgorithm(i, 0, 10, gap);\n \talgsTest.add(ga);\n }\n newExp.optParams(algsTest, ef, paramName, params1, null, algName, probName);\n \n // test toMate for GA\n paramName = \"toMate\";\n params1 = new ArrayList<>();\n algsTest = new ArrayList<>();\n for (int i = 0; i < 100; i+=1){\n \tparams1.add(i);\n \tga = new StandardGeneticAlgorithm(200, i, 10, gap);\n \talgsTest.add(ga);\n }\n newExp.optParams(algsTest, ef, paramName, params1, null, algName, probName);\n \n // test toMutate for GA\n paramName = \"toMutate\";\n params1 = new ArrayList<>();\n algsTest = new ArrayList<>();\n for (int i = 10; i < 1001; i+=10){\n \tparams1.add(i);\n \tga = new StandardGeneticAlgorithm(200, 0, i, gap);\n \talgsTest.add(ga);\n }\n newExp.optParams(algsTest, ef, paramName, params1, null, algName, probName);\n \n // test samples for MIMIC\n paramName = \"samples\";\n algName = \"MIMIC\";\n params1 = new ArrayList<>();\n algsTest = new ArrayList<>();\n for (int i = 100; i < 1101; i += 10){\n \tparams1.add(i);\n \tmimic = new MIMIC(i, 10, pop);\n \talgsTest.add(mimic);\n }\n newExp.optParams(algsTest, ef, paramName, params1, null, algName, probName);\n \n // test tokeep for MIMIC\n paramName = \"tokeeep\";\n params1 = new ArrayList<>();\n algsTest = new ArrayList<>();\n for (int i = 1; i < 101; i+=1){\n \tparams1.add(i);\n \tmimic = new MIMIC(200, i, pop);\n \talgsTest.add(mimic);\n }\n newExp.optParams(algsTest, ef, paramName, params1, null, algName, probName);\n \n \n // test different algorithms with various NQueensProblems\n // set up algorithms\n algs = new ArrayList<>();\n ga = new StandardGeneticAlgorithm(150, 98, 70, gap);\n algs.add(rhc);\n algs.add(sa);\n algs.add(ga);\n algs.add(mimic);\n // set up different efs\n List<EvaluationFunction> efs = new ArrayList<>();\n for (int i = 0; i < 50; i++){\n \tef = new NQueensFitnessFunction();\n \tefs.add(ef);\n }\n newExp.voteBest(algs, efs, 2000, probName);\n \n }", "@Test \r\n\tvoid testGenerateSquadsShouldPass() {\r\n\t\tModel dataModel = new Model();\r\n\t\t\r\n\t\tdataModel.generateSquads();\r\n\t\t\r\n\t\tArrayList<Squad> squads = dataModel.getSquads();\r\n\t\t\r\n\t\tint size = squads.size();\r\n\t\t\r\n\t\tassertNotEquals(0, size);\r\n\t}", "@Test(timeout = 4000)\n public void test109() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n boolean boolean0 = evaluation0.getDiscardPredictions();\n assertFalse(boolean0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test\n public void test06() throws Throwable {\n double double0 = UnivariateRealSolverUtils.midpoint(0.0, 244.30128428311448);\n assertEquals(122.15064214155724, double0, 0.01D);\n }", "@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n void sellingDatePast() {\n int originalQuality = 10;\n Item[] items = new Item[]{\n new Item(\"single\", 5, originalQuality),\n new Item(\"double\", -1, originalQuality)\n };\n GildedRose app = new GildedRose(items);\n app.updateQuality();\n\n assertEquals(\"single\", app.items[0].name);\n assertTrue(originalQuality > app.items[0].quality, \"Quality should've dropped\");\n assertEquals(originalQuality - 1, app.items[0].quality, \"Quality should've dropped regularly\");\n\n assertEquals(\"double\", app.items[1].name);\n assertTrue(originalQuality > app.items[1].quality, \"Quality should've dropped\");\n assertEquals(originalQuality - 2, app.items[1].quality, \"Quality should've dropped twice as much\");\n }", "@Test\n public void testVar() {\n System.out.println(\"var\");\n NegativeBinomialDistribution instance = new NegativeBinomialDistribution(3, 0.3);\n instance.rand();\n assertEquals(7/0.3, instance.var(), 1E-7);\n }", "public Sarsa(int states, int actions, ExplorationPolicy explorationPolicy, boolean randomize) {\n this.states = states;\n this.actions = actions;\n this.explorationPolicy = explorationPolicy;\n\n // Create Q-Array\n /qvalues = new double[states][];\n for (int i = 0; i < states; i++){\n qvalues[i] = new double[actions];\n }/\n\n this.qvalues = new double[states][actions];\n this.N = new double[states][actions];\n\n // Randomize\n if (randomize){\n Random r = new Random( );\n for (int i = 0; i < states; i++){\n for (int j = 0; j < actions; j++){\n this.qvalues[i][j] = r.nextDouble()/10;\n }\n }\n }\n }", "public ArrayList execute() {//(MultivariateFunction func, double[] xvec, double tolfx, double tolx) \n num_Function_Evaluation = 0;\n double[] stat = {0.0, 0.0};\n double[] storeBest = null;\n double[] storeMean = null;\n double[] storeStd = null;\n if (isOptimization) {\n storeBest = new double[101];\n storeMean = new double[101];\n storeStd = new double[101];\n //System.out.println(\"Initialization Done\");\n }\n int storeIndex = 0;\n\n //f = func;\n //bestSolution = xvec;\n // Create first generation\n firstGeneration();\n //System.out.println(iRet+\" \"+returnResult[iRet]);\n //stopCondition(fx, bestSolution, tolfx, tolx, true);\n\n //main iteration loop\n while (true) {\n boolean xHasChanged;\n do {\n //printing steps\n if (isPrintSteps) {\n if (currGen % printStep == 0) {\n if (isOptimization) {\n if (storeIndex < 101) {\n storeBest[storeIndex] = fx;\n stat = computFitnessStat();\n storeMean[storeIndex] = stat[0];\n storeStd[storeIndex] = stat[1];\n storeIndex++;\n }\n }\n System.out.printf(\" MH algo It: %5d Best: %.9f Mean: %.9f Std: %.9f \\n\", currGen, fx, stat[0], stat[1]);\n }//printsteps\n }//isPrintSteps\n\n xHasChanged = nextGeneration();\n if (currGen >= maxIter) {//if (maxFun > 0 && numFun > maxFun)\n break;\n }\n //if (prin > 1 && currGen % 20 == 0)\n //printStatistics();\n } while (!xHasChanged);\n //if (stopCondition(fx, bestSolution, tolfx, tolx, false) \|\| (maxFun > 0 && numFun > maxFun))\n if (currGen >= maxIter) {\n break;\n }\n if (fx < 0.0000001) {\n //System.out.println(\"treshold\" + fx);\n //break;\n }\n }//while\n //printing final step\n if (isPrintFinal) {\n if (isOptimization) {\n if (storeIndex < 101) {\n storeBest[storeIndex] = fx;\n stat = computFitnessStat();\n storeMean[storeIndex] = stat[0];\n storeStd[storeIndex] = stat[1];\n storeIndex++;\n }\n }\n System.out.printf(\" MH algo It: %5d Best: %.9f Mean: %.9f Std: %.9f \\nTotal Fun Evaluations: %d\\n\", currGen, fx, stat[0], stat[1], num_Function_Evaluation);\n }\n ArrayList array = new ArrayList();\n array.add(storeBest);\n array.add(storeMean);\n array.add(storeStd);\n return array;\n }", "@Test\n public void DataSmoothTest42() {\n\t LinkedList<Double> runtimes4 = D2.dataSmooth(emptyShows);\n\t \n\t for(int i = 0; i < runtimes4.size(); i++) {\n\t\t assertEquals(runtimes4.get(i), emptyShowResults.get(i), 0.01);\n\t }\n }", "@Test\n public void testIsReversible_IDoubleArray_IDoubleArray()\n {\n IDoubleArray T = null;\n IDoubleArray pi = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isReversible(T, pi);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void DataSmoothTest52() {\n\t LinkedList<Double> runtimes5 = D2.dataSmooth(shows5);\n\t \n\t for(int i = 0; i < runtimes5.size(); i++) {\n\t\t assertEquals(runtimes5.get(i), showResults5.get(i), 0.01);\n\t }\n}", "boolean testDependence(DependenceVector dv);", "@Override\r\n public void computeDensityEstimator() {\r\n // Compute scalarization values\r\n this.scalWrapper.execute(solutions());\r\n scaleToPositive();\r\n\r\n // Distance matrix\r\n double[][] distanceMatrix;\r\n if (normalizeObjectives) {\r\n FrontNormalizer normalizer = new FrontNormalizer(solutions());\r\n distanceMatrix = SolutionListUtils.distanceMatrix(normalizer.normalize(solutions()));\r\n } else\r\n distanceMatrix = SolutionListUtils.distanceMatrix(solutions());\r\n\r\n // Set fitness based on replacement strategy\r\n double[] energyVector = energyVector(distanceMatrix);\r\n double[] replacementVector = replacementVector(distanceMatrix);\r\n // Flag for memorizing whether solution can improve archive\r\n boolean eligible = false;\r\n for (int i = 0; i < replacementVector.length; i++) {\r\n // New solution is better than incumbent\r\n if (replacementVector[i] < energyVector[i]) {\r\n eligible = true;\r\n switch (replacementStrategy) {\r\n case BEST_FEASIBLE_POSITION:\r\n // Energy decrease is maximal if replacement energy is\r\n // minimized. This is why the the negated entry in\r\n // replacementVector is the corresponding fitness.\r\n fitness.setAttribute(archive.get(i), -replacementVector[i]);\r\n break;\r\n case LARGEST_DIFFERENCE:\r\n fitness.setAttribute(archive.get(i), energyVector[i]);\r\n break;\r\n case WORST_IN_ARCHIVE:\r\n fitness.setAttribute(archive.get(i), energyVector[i] - replacementVector[i]);\r\n break;\r\n }\r\n } else {\r\n // If archive member is not eligible for replacement, make sure\r\n // it is retained in any case.\r\n archive.get(i).attributes().put(fitness.getAttributeIdentifier(), -Double.MAX_VALUE);\r\n }\r\n if (eligible) {\r\n // New solution is always retained\r\n fitness.setAttribute(archive.get(maxSize), -Double.MAX_VALUE);\r\n } else {\r\n // New solution is rejected in any case\r\n fitness.setAttribute(archive.get(maxSize), Double.MAX_VALUE);\r\n }\r\n }\r\n }", "@Test(timeout = 4000)\n public void test039() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.falseNegativeRate(121);\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "public static void main(String[] args) {\n INeighbor neighbor = new RandomNeighbor();\n IEvaluator evaluator = new BentEvaluator();\n ISolver solver = new RandomSearch(neighbor, evaluator);\n\n BoolFunction solution = solver.run();\n System.out.println(solution);\n }", "@Test(timeout = 4000)\n public void test22() throws Throwable {\n Discretize discretize0 = new Discretize(\"If set to true< equal-frequency binning will be used instead of equal-wi~th binnwng.\");\n discretize0.setIgnoreClass(true);\n discretize0.getOptions();\n System.setCurrentTimeMillis(2L);\n int[] intArray0 = new int[7];\n intArray0[0] = 7;\n intArray0[1] = (-2122219132);\n intArray0[2] = (-3985);\n intArray0[3] = 6;\n intArray0[4] = 19;\n intArray0[5] = (-3677);\n intArray0[6] = 4080;\n BinarySparseInstance binarySparseInstance0 = new BinarySparseInstance(0.0, intArray0, 445);\n SparseInstance sparseInstance0 = new SparseInstance((SparseInstance) binarySparseInstance0);\n // Undeclared exception!\n try { \n discretize0.convertInstance(sparseInstance0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }", "private static void runRankBasedSVD(int loss, int rank, double learningRate, boolean verbose) {\n\t\tint maxIter = 20;\r\n\t\tdouble regularizer = 1E-6;\r\n\t\t\r\n\t\tRankBasedSVD rsvd = new RankBasedSVD(\r\n\t\t\tuserCount, itemCount, maxValue, minValue,\r\n\t\t\trank, learningRate, regularizer, 0, maxIter,\r\n\t\t\tloss, testMatrix, null, null, verbose);\r\n\t\t\t\r\n\t\tSystem.out.println(\"RSVD\" + \"\\t\" + loss + \"\\t\" + rank + \"\\t\" + testRecommender(\"RSVD\", rsvd));\r\n\t}", "@Test\n public void test38() throws Throwable {\n String[] stringArray0 = new String[9];\n CostSensitiveClassifier costSensitiveClassifier0 = new CostSensitiveClassifier();\n Capabilities capabilities0 = costSensitiveClassifier0.getCapabilities();\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n Instances instances0 = testInstances0.generate(\"um.#R$qWe&4`>V\");\n Evaluation evaluation0 = new Evaluation(instances0);\n try {\n double[] doubleArray0 = evaluation0.evaluateModel((Classifier) costSensitiveClassifier0, instances0, (Object[]) stringArray0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 1\n //\n }\n }", "@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Override\r\n\tpublic void sssDoLwTestPeriodic() {\n\r\n\t}", "public static void MCLSPIFB(){\n\t\tMountainCar mcGen = new MountainCar(); // default: reward 100 on the right side and 0 everywhere else\n\t\t\n\t\t\n\t\t// Define terminal function and reward function\t\n\t\tStateConditionTest terminalTest = new StateConditionTest() {\n\t\t\t\n\t\t\t@Override\n\t\t\tpublic boolean satisfies(State s) {\n\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\tif ((Double)s.get(\"x\") >= 0.5) {\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t\treturn false;\n\t\t\t}\n\t\t};\n\t\t\n\t\tTerminalFunction tf = new TerminalFunction() {\n\t\t\t\n\t\t\t@Override\n\t\t\tpublic boolean isTerminal(State s) {\n\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\treturn terminalTest.satisfies(s);\n\t\t\t}\n\t\t};\n\t\t\n\t\tRewardFunction rf = /new GoalBasedRF(tf, 100, 0);/\n\t\t\t\tnew RewardFunction() {\n\t\t\t\n\t\t\t@Override\n\t\t\tpublic double reward(State s1, Action a, State s2) {\n\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\tif ((Double)s2.get(\"x\") >= 0.5) {\n\t\t\t\t\treturn 100;\n\t\t\t\t}\n\t\t\t\tif ((Double)s2.get(\"x\") == mcGen.physParams.xmin) {\n\t\t\t\t\treturn -100;\n\t\t\t\t}\n\t\t\t\treturn 0;\n\t\t\t}\n\t\t};\n\t\tmcGen.setRf(rf);\n\t\tSADomain domain = mcGen.generateDomain();\n\t\tSystem.out.println(\"physParams:\\n===========================\");\n\t\tSystem.out.println(\"xmin:\" + mcGen.physParams.xmin + \", xmax:\" + mcGen.physParams.xmax + \", vallypos:\" + mcGen.physParams.valleyPos());\n\t\tSystem.out.println(\"vmin:\" + mcGen.physParams.vmin + \", vmax:\" + mcGen.physParams.vmax);\n\t\tSystem.out.println(\"===========================\");\n\t\t\n\t\t// Generate data from random state\n\t\tStateGenerator rstateGenerator = new MCRandomStateGenerator(mcGen.physParams);\n\t\tSARSCollector collector = new SARSCollector.UniformRandomSARSCollector(domain);\n\t\tSARSData dataset = collector.collectNInstances(rstateGenerator, domain.getModel(), 5000, 20, null);\n\n\t\t\n\t\tSARS xData = dataset.get(0);\n\t\tMCState xState = (MCState) xData.s;\n\t\tMCState xState2 = (MCState) xData.sp;\n\t\tSystem.out.println(\"s: x:\" + xState.x\n\t\t\t\t+ \", v:\" + xState.v + \n\t\t\t\t\", action:\" + xData.a.actionName() + \n\t\t\t\t\", reward:\" + xData.r);\n\t\tSystem.out.println(\"s': x:\" + xState2.x\n\t\t\t\t+ \", v:\" + xState2.v);\n\t\tSystem.out.println(\"===========================\");\n\t\t\n\t\t// Generate 5000 SARS tuple instances for our dataset.\n\t\t// Car state generator for no more than 20 steps at a time or until we hit a terminal state.\n\t\t\n\t\t// Generate Fourier Basis\n\t\t// Fourier Basis: mapping from states to features\n\t\tNormalizedVariableFeatures inputFeatures = new NormalizedVariableFeatures()\n\t\t\t\t.variableDomain(\"x\", new VariableDomain(mcGen.physParams.xmin, mcGen.physParams.xmax))\n\t\t\t\t.variableDomain(\"v\", new VariableDomain(mcGen.physParams.vmin, mcGen.physParams.vmax));\n\t\tFourierBasis fBasis = new FourierBasis(inputFeatures, 4); // order(4) means the number of basis functions\n\t\t\n\t\t// Instantiate LSPI\n\t\t// LSPI needs mapping from state to action features, so\n\t\t// first define a state feature representation, \n\t\t// and then construct state-action features by taking the cross product of those features with each action\n\t\tLSPI lspi = new LSPI(domain, 0.99, new DenseCrossProductFeatures(fBasis, 3), dataset); // 3: number of actions: FORWARD, COSTA, BACKWARD\n\t\tPolicy policy = lspi.runPolicyIteration(30, 1e-6);\n\t\t\n\t\t// Visualization\n\t\tMCState laststate = new MCState(mcGen.physParams.valleyPos(), 0);\n\t\tSystem.out.println(\"===========================\\nState process according to policy:\\n\");\n\n\t\t\n\t\tfor (int i = 0; i < 1000; i++) {\n\t\t\tif (terminalTest.satisfies(laststate)) {\n\t\t\t\tbreak;\n\t\t\t}\n\t\t\tAction curAction = policy.action(laststate);\n\t\t\tMCModel model = new MCModel(mcGen.physParams);\n\t\t\tMCState curState = (MCState) model.sample(laststate, curAction);\n\t\t\tif (i % 10 == 0) {\n\t\t\t\tSystem.out.println(\"State \" + i +\n\t\t\t\t\t\t\":\\tx = \" + laststate.x + \n\t\t\t\t\t\t\";\\tv = \" + laststate.v + \n\t\t\t\t\t\t\";\\taction = \" + curAction.actionName());\n\t\t\t}\t\t\t\n\t\t\tlaststate = curState;\n\t\t}\n\t\tVisualizer visualizer = MountainCarVisualizer.getVisualizer(mcGen);\n\t\tVisualActionObserver vo = new VisualActionObserver(visualizer);\n\t\tvo.initGUI();\n\t\t\n\t\tSimulatedEnvironment environment = new SimulatedEnvironment(domain, new MCState(mcGen.physParams.valleyPos(), 0));\n\t\tenvironment.addObservers(vo);\n\t\t\n\t\tfor (int i = 0; i < 5; i++) {\n\t\t\tPolicyUtils.rollout(policy, environment);\n\t\t\tenvironment.resetEnvironment();\n\t\t}\n\t\tSystem.out.println(\"Finished\");\n\t\tSystem.out.println(policy.action(new MCState(0.05, -8)));\n\t}", "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void test19() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBInformation();\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test\n public void testLogLikelihood()\n {\n IDoubleArray T = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihood(T, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public static void test() {\n // create M-by-N matrix that doesn't have full rank\n int M = 8, N = 5;\n Matrix B = Matrix.random(5, 3);\n Matrix A = Matrix.random(M, N).times(B).times(B.transpose());\n System.out.print(\"A = \");\n A.print(9, 6);\n\n // compute the singular vallue decomposition\n System.out.println(\"A = U S V^T\");\n System.out.println();\n SingularValueDecomposition s = A.svd();\n System.out.print(\"U = \");\n Matrix U = s.getU();\n U.print(9, 6);\n System.out.print(\"Sigma = \");\n Matrix S = s.getS();\n S.print(9, 6);\n System.out.print(\"V = \");\n Matrix V = s.getV();\n V.print(9, 6);\n System.out.println(\"rank = \" + s.rank());\n System.out.println(\"condition number = \" + s.cond());\n System.out.println(\"2-norm = \" + s.norm2());\n\n // print out singular values\n System.out.print(\"singular values = \");\n Matrix svalues = new Matrix(s.getSingularValues(), 1);\n svalues.print(9, 6);\n\n\t\t Matrix C = U.times(S).times(V.transpose());\n\t\t C.print(9, 6);\n\n\t\t Matrix D = A.transpose();\n\t\t D.print(9, 6);\n\n\t\t Matrix E = D.times(A);\n\t\t E.print(9, 6);\n }", "@Test\n public void DataSmoothTest31() {\n\t LinkedList<Double> runtimes3 = D1.dataSmooth(shows4);\n\t \n\t for(int i = 0; i < runtimes3.size(); i++) {\n\t\t assertEquals(runtimes3.get(i), showResults4.get(i), 0.01);\n\t }\n }", "@Test\n public void testAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.autocorrelation(M, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test04() throws Throwable {\n LovinsStemmer lovinsStemmer0 = new LovinsStemmer();\n TechnicalInformation technicalInformation0 = lovinsStemmer0.getTechnicalInformation();\n assertFalse(technicalInformation0.hasAdditional());\n }", "@Test\r\n public void testAppartentMagnitude() {\r\n System.out.println(\"appartentMagnitude\");\r\n \r\n // Test case one.\r\n System.out.println(\"Test case #1\"); \r\n \r\n double magnitude = 12;\r\n double distance = 200;\r\n \r\n SceneControl instance = new SceneControl();\r\n \r\n double expResult = 0.0003;\r\n double result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case two.\r\n System.out.println(\"Test case #2\"); \r\n \r\n magnitude = 13;\r\n distance = -50;\r\n \r\n expResult = -999999;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case three.\r\n System.out.println(\"Test case #3\"); \r\n \r\n magnitude = 56;\r\n distance = 20;\r\n \r\n expResult = -999999;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, -999999);\r\n \r\n // Test case four.\r\n System.out.println(\"Test case #4\"); \r\n \r\n magnitude = 56;\r\n distance = 20;\r\n \r\n expResult = -999999;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case five.\r\n System.out.println(\"Test case #5\"); \r\n \r\n magnitude = 14;\r\n distance = 0;\r\n \r\n expResult = -999999;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case six.\r\n System.out.println(\"Test case #6\"); \r\n \r\n magnitude = -50;\r\n distance = 12;\r\n \r\n expResult = -0.3472;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case seven.\r\n System.out.println(\"Test case #7\"); \r\n \r\n magnitude = 50;\r\n distance = 20;\r\n \r\n expResult = 0.125;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case eight.\r\n System.out.println(\"Test case #8\"); \r\n \r\n magnitude = 13;\r\n distance = 1;\r\n \r\n expResult = 13;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n }", "@Test(timeout = 4000)\n public void test024() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.setPriors(instances0);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test\n public void test29() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.pctCorrect();\n assertEquals(Double.NaN, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test118() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n \n evaluation0.useNoPriors();\n assertEquals(Double.NaN, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n public void testRelRevSupport() throws RepositoryException {\n assertExtract(\"/html/rdfa/rel-rev.html\");\n logger.debug(dumpModelToTurtle());\n\n assertContains(baseIRI, RDFUtils.iri(\"http://bob.example.com/cite\"),\n RDFUtils.iri(\"http://www.example.com/books/the_two_towers\"));\n assertContains(RDFUtils.iri(\"http://path/to/chapter\"), RDFUtils.iri(\"http://bob.example.com/isChapterOf\"),\n baseIRI);\n }", "@Test\n public void DataSmoothTest41() {\n\t LinkedList<Double> runtimes4 = D1.dataSmooth(emptyShows);\n\t \n\t for(int i = 0; i < runtimes4.size(); i++) {\n\t\t assertEquals(runtimes4.get(i), emptyShowResults.get(i), 0.01);\n\t }\n }", "private boolean needXray() {\n\t\treturn Math.random() < XRAY_PROBABILITY;\n\t}", "@Test\n public void test18() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.KBMeanInformation();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "public Matrix Q (double t, double dt, EstSTM x);" ]	[ "0.634964", "0.53895277", "0.53895247", "0.5388766", "0.53727454", "0.53061575", "0.5282599", "0.52659446", "0.52635586", "0.5200852", "0.51897055", "0.5182886", "0.5180493", "0.5146961", "0.51407355", "0.513061", "0.51246864", "0.51208967", "0.5109763", "0.50863016", "0.50775117", "0.5069541", "0.5061293", "0.5054513", "0.50148386", "0.5006607", "0.5001294", "0.5001244", "0.49890828", "0.49880698", "0.49588883", "0.49528605", "0.4949879", "0.49425042", "0.49412692", "0.49353987", "0.49316868", "0.49202132", "0.49164453", "0.4903627", "0.4896379", "0.48938203", "0.48920727", "0.4883567", "0.4860142", "0.48571816", "0.4853394", "0.4852567", "0.48463434", "0.48346353", "0.48323405", "0.4831819", "0.48195538", "0.48176312", "0.48149303", "0.48133793", "0.47986847", "0.47937208", "0.47927946", "0.4792483", "0.47875017", "0.47853133", "0.47853023", "0.478379", "0.47801262", "0.47800514", "0.47770947", "0.47721067", "0.47711143", "0.47685003", "0.47647247", "0.47609663", "0.476027", "0.4743783", "0.47332412", "0.47323453", "0.47238994", "0.47182724", "0.4716729", "0.47149694", "0.47140107", "0.47086552", "0.47064438", "0.47057295", "0.47045782", "0.47011006", "0.47008878", "0.4699169", "0.46983957", "0.46973568", "0.4695139", "0.46945387", "0.46943396", "0.46931046", "0.4686663", "0.46842963", "0.4680615", "0.4674911", "0.46736357", "0.46721095" ]	0.8405477	0
Test of timescales method, of class MarkovModelUtilities.	@Test public void testTimescales_IDoubleArray_double() { IDoubleArray T = null; double tau = 0.0; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.timescales(T, tau); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testTimescales_5args()\n {\n Iterable<IIntArray> dtraj = null;\n ICountMatrixEstimator Cest = null;\n ITransitionMatrixEstimator Test = null;\n int ntimescales = 0;\n IIntArray lagtimes = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.timescales(dtraj, Cest, Test, ntimescales, lagtimes);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n @MediumTest\n public void multiFrameScaleSmokeTest() throws Exception {\n scaleSmokeTest(true);\n }", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public boolean testTilingscale(EIfcfillareastyletiles type) throws SdaiException;", "@Test\n public void scale() {\n assertEquals(\"Wrong vector scale\", new Vector(1,1,1).scale(2), new Vector(2,2,2));\n }", "public void setTimeScaleTickProvider(TickProvider timeScaleTickProvider) {\n \n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n @MediumTest\n public void singleFrameScaleSmokeTest() throws Exception {\n scaleSmokeTest(false);\n }", "public void setScale(int indexInST, float time, Vector3f scale) {\n PointInTime toAdd=findTime(time);\n toAdd.setScale(indexInST,scale);\n }", "protected void runTest() throws OgnlException\n {\n Object result;\n\n result = OgnlOps.convertValue(value, toClass);\n if (!isEqual(result, expectedValue)) {\n if (scale >= 0) {\n double scalingFactor = Math.pow(10, scale),\n v1 = ((Number) value).doubleValue() * scalingFactor,\n v2 = ((Number) expectedValue).doubleValue() * scalingFactor;\n\n assertTrue((int) v1 == (int) v2);\n } else {\n fail();\n }\n }\n }", "@Override\r\n\t@Test(groups = {\"function\",\"setting\"} ) \r\n\tpublic boolean checkImageScale() {\n\t\tboolean flag = oTest.checkImageScale();\r\n\t\tAssertion.verifyEquals(flag, true);\r\n\t\treturn flag;\r\n\t}", "@Test\n public void firstRatingAfterTpStartANDChunkEndBeforeTpEndTest() {\n LocalDateTime firstTime = LocalDateTime.of(2017, Month.JANUARY, 1, 0, 0);\n\n //start with creating tp (proportional)\n // \|-----\|\n TimePeriod tp = new TimePeriod(firstTime, firstTime.plusHours(6));\n\n /*match tp with ratings so we have (proportional scale)\n ratings \|-o--\|\|\n * tp: \|-----\|\n \n /\n ScoreTime rStart = new ScoreTime(firstTime.plusHours(2), 4);\n LocalDateTime chunkEnd = firstTime.plusHours(5); //=> 1 hour before tp.end\n\n //this is the method we are testing\n double[] avgscoreAndWeight = RatingTime.calcAvgAndWeight(tp, Arrays.asList(rStart),\n chunkEnd);\n assertEquals(4.0, avgscoreAndWeight[0]);\n\n /* weight should equal durationOfRatingsInScopeOfTp/tp.duration\n ratingsInScopeOfTp = 3 hours\n tp.duration = 6 hours.\n weight should be 3/6 = 1/2 = 0.5...\n /\n\n assertEquals(0.5, avgscoreAndWeight[1]);\n }", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testStationaryDistribution()\n {\n try\n {\n IDoubleArray T = Doubles.create.fromFile(inputT1);\n IDoubleArray expResult = Doubles.create.fromFile(inputT1_pi); \n IDoubleArray pi = MarkovModel.util.stationaryDistribution(T);\n assertEqual(pi, expResult, 1e-5);\n }\n catch(IOException e)\n {\n \n e.printStackTrace();\n }\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "@Test\n @Override\n public void testTime(TestContext ctx) {\n testDecodeGeneric(ctx, \"test_time\", Duration.class, Duration.ofHours(18).plusMinutes(45).plusSeconds(2));\n }", "@Test\n public void scale() {\n float[] a1 = new float[] {1.001f, 2.002f, 3.003f, 4.004f, 5.00f, 6.00f};\n float[] a2 = new float[] {3.003f, 4.004f, 5.00f, 6.00f};\n float[] expect = new float[] {9.009f, 12.012f, 15.00f, 18.00f};\n Vec4f.scale(3.0f, a1, 2);\n assertTrue(Vec4f.epsilonEquals(a1, 2, expect, 0, 1E-6f));\n Vec4f.scale(3.0f, a2);\n assertTrue(Vec4f.epsilonEquals(a2, expect, 1E-6f));\n }", "public boolean isMeasureTime() ;", "@Test\n public void firstRatingsIsLate() {\n LocalDateTime firstTime = LocalDateTime.of(2017, Month.JANUARY, 1, 0, 0);\n\n //start with creating tp (proportional)\n // \|------\|\n TimePeriod tp = new TimePeriod(firstTime.plusHours(0), firstTime.plusHours(7));\n\n\n /match tp with ratings and chunkEnd so we have (proportional scale)\n ratings \|--o----\|\|\n * tp: \|-------\|\n \n /\n ScoreTime rStart = new ScoreTime(firstTime.plusHours(2), 3);\n LocalDateTime chunkEnd = firstTime.plusHours(7); //=> same as tp.end\n\n //this is the method we are testing\n double[] avgscoreAndWeight = RatingTime.calcAvgAndWeight(tp, Arrays.asList(rStart),\n chunkEnd);\n assertEquals(3.0, avgscoreAndWeight[0]);\n\n /* weight should equal durationOfRatingsInScopeOfTp/tp.duration\n timeOfRatingsInScopeOfTp = 5 hours\n tp.duration = 7 hours.\n weight should be 5/7\n /\n\n assertEquals(5. / 7., avgscoreAndWeight[1], 0.01);\n }", "@Test\n public void tpExtendsChunkEndTest() {\n LocalDateTime firstTime = LocalDateTime.of(2017, Month.JANUARY, 1, 0, 0);\n\n //start with creating tp (proportional)\n // \|------\|\n TimePeriod tp = new TimePeriod(firstTime, firstTime.plusHours(6));\n\n\n /match tp with ratings and chunkEnd so we have (proportional scale)\n ratings \|o----\|\|\n * tp: \|------\|\n \n /\n ScoreTime rStart = new ScoreTime(firstTime, 4);\n LocalDateTime chunkEnd = firstTime.plusHours(5); //=> 1 hour before tp.end\n\n //this is the method we are testing\n double[] avgscoreAndWeight = RatingTime.calcAvgAndWeight(tp, Arrays.asList(rStart),\n chunkEnd);\n assertEquals(4.0, avgscoreAndWeight[0]);\n\n /* weight should equal durationOfRatingsInScopeOfTp/tp.duration\n ratingsInScopeOfTp = 5 hours\n tp.duration = 6 hours.\n weight should be 5/6\n /\n\n assertEquals(5. / 6., avgscoreAndWeight[1], 0.01);\n }", "@Test(expected = IllegalArgumentException.class)\n public void testScaleOvalDuringSamePeriod() {\n modelWithRectAndOval.addAction(ScaleOvalAction.createScaleOvalAction(\"C\", 10,\n 50, 100, 100, 10, 10));\n modelWithRectAndOval.addAction(ScaleOvalAction.createScaleOvalAction(\"C\", 40,\n 60, 100, 100, 10, 10));\n }", "@Test(expected = IllegalArgumentException.class)\n public void testScaleRectangleDuringSamePeriod() {\n model1.addShape(Rectangle.createRectangle(\"C\", new Point.Double(500, 100),\n new Color(0, 0, 1), 6, 100, 60.0, 30.0));\n model1.addAction(ScaleRectangleAction.createScaleRectangleAction(\"R\", 10, 50,\n 100, 100, 100, 100));\n model1.addAction(ScaleRectangleAction.createScaleRectangleAction(\"R\", 40, 60,\n 100, 100, 10, 10));\n }", "public void increaseTimescale() {\n\t\ttimeScaler = timeScaler>=5 ? 5 : timeScaler + TIMESCLALER_FACTOR;\n\t}", "public void decreaseTimescale() {\n\t\ttimeScaler = timeScaler<=1 ? 1 : timeScaler - TIMESCLALER_FACTOR;\n\t}", "private void fillScale(int objectIndex, int startScaleIndex, int endScaleIndex) {\n ((PointInTime)keyframes.get(startScaleIndex)).look[objectIndex].getScale(unSyncbeginPos);\n ((PointInTime)keyframes.get(endScaleIndex)).look[objectIndex].getScale(unSyncendPos);\n float startTime=((PointInTime)keyframes.get(startScaleIndex)).time;\n float endTime=((PointInTime)keyframes.get(endScaleIndex)).time;\n float delta=endTime-startTime;\n Vector3f tempVec=new Vector3f();\n \n for (int i=startScaleIndex+1;i<endScaleIndex;i++){\n float thisTime=((PointInTime)keyframes.get(i)).time;\n tempVec.interpolate(unSyncbeginPos,unSyncendPos,(thisTime-startTime)/delta);\n ((PointInTime)keyframes.get(i)).look[objectIndex].setScale(tempVec);\n }\n }", "@Test\n\tpublic void convertToTimeTest(){\n\t\tDjikstrasMap m = new DjikstrasMap();\t//Creates new DjikstrasMap object\n\t\tdouble time = 1.85;\t\t\n\t\tassertEquals(\"2 hour and .51 minutes\", m.convertToTime(time));\t//Checks that the convertToTime method formats the time correctly\n\t}", "public interface Scalable {\n public void scale(TimeTick base, double ratio);\n}", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "private void test() {\n\t\tlong startTime = System.currentTimeMillis();\n\t\tBpmnModelInstance modelInstance = Bpmn.readModelFromFile(loadedFile);\n\t\tJsonEncoder jsonEncoder = new JsonEncoder(loadedFile.getName());\n\t\tBpmnBasicMetricsExtractor basicExtractor = new BpmnBasicMetricsExtractor(modelInstance, jsonEncoder);\n\t\tBpmnAdvancedMetricsExtractor advExtractor = new BpmnAdvancedMetricsExtractor(basicExtractor, jsonEncoder);\n\t\tlong loadTime = System.currentTimeMillis() - startTime;\n//\t\tSystem.out.println(\"Tempo load del file: \" + loadTime + \"ms\");\n\t\tbasicExtractor.runMetrics();\n\t\tlong basicTime = System.currentTimeMillis() - loadTime - startTime;\n//\t\tSystem.out.println(\"Tempo calcolo metriche di base: \" + basicTime + \"ms\");\n\t\tadvExtractor.runMetrics();\n\t\tlong advTime = System.currentTimeMillis() - basicTime - startTime - loadTime;\n//\t\tSystem.out.println(\"Tempo calcolo metriche avanzate: \" + advTime + \"ms\");\n\t\tjsonEncoder.exportJson();\n\t\tMySqlInterface db = new MySqlInterface();\n\t\tdb.connect();\n//\t\tdb.createTables(jsonEncoder);\n//\t\tdb.createAndInsertMetricsInfosTable();\n//\t\tdb.saveMetrics(jsonEncoder);\n//\t\tdb.closeConnection();\n\t}", "@Test\n public void testGetSetTemperaturaExteriorMaxima() {\n System.out.println(\"getSetTemperaturaExteriorMaxima\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMaxima(expResult);\n double result = instance.getTemperaturaExteriorMaxima();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n\tpublic void testMakeMeterSectionTimes() {\n\t\tScorePiece sp = new ScorePiece(MIDIImport.importMidiFile(midiTestGetMeterKeyInfo));\n\t\tScoreMetricalTimeLine smtl = new ScoreMetricalTimeLine(sp.getMetricalTimeLine());\n\n\t\tList<Long> expected = Arrays.asList(new Long[]{\n\t\t\t(long) 0, \n\t\t\t(long) 1800000, \n\t\t\t(long) 11400000, \n\t\t\t(long) 25800000, \n\t\t\t(long) 30600000, \n\t\t\t(long) 31350000\n\t\t});\n\n\t\tList<Long> actual = smtl.makeMeterSectionTimes();\n\n\t\tassertEquals(expected.size(), actual.size());\n\t\tfor (int i = 0; i < expected.size(); i++) {\n\t\t\tassertEquals(expected.get(i), actual.get(i));\t\t\n\t\t}\n\t\tassertEquals(expected, actual);\n\t}", "@Test\n public void projectMetrics() {\n assertProjectMetrics(340, 161, 179, 78054, 28422, 49632);\n }", "@Test\n public void testGetSetTemperaturaExteriorMinima() {\n System.out.println(\"getSetTemperaturaExteriorMinima\");\n double expResult = 10.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMinima(expResult);\n double result = instance.getTemperaturaExteriorMinima();\n assertEquals(expResult, result, 0.0);\n }", "public void test800324() {\n TaskSeries s1 = new TaskSeries(\"S1\");\n s1.add(new Task(\"Task 1\", new SimpleTimePeriod(new Date(), new Date())));\n s1.add(new Task(\"Task 2\", new SimpleTimePeriod(new Date(), new Date())));\n s1.add(new Task(\"Task 3\", new SimpleTimePeriod(new Date(), new Date())));\n TaskSeriesCollection tsc = new TaskSeriesCollection();\n tsc.add(s1);\n try {\n tsc.getStartValue(0, 3);\n assertTrue(false);\n } catch (IndexOutOfBoundsException e) {\n }\n try {\n tsc.getEndValue(0, 3);\n assertTrue(false);\n } catch (IndexOutOfBoundsException e) {\n }\n try {\n tsc.getSubIntervalCount(0, 3);\n assertTrue(false);\n } catch (IndexOutOfBoundsException e) {\n }\n }", "@Test\n public void testHasTemperaturaVariation() {\n System.out.println(\"hasTemperaturaVariation\");\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n boolean expResult = true;\n instance.setHasTemperaturaVariation(expResult);\n boolean result = instance.hasTemperaturaVariation();\n assertEquals(expResult, result);\n }", "@Test\n\tpublic void testMeasureSimilarity() {\n\t\tList<TimeSeriesSimilarityCollection> res;\n\t\tTimeSeriesSimilarityCollection r;\n\n\t\t// we are interested in measure now\n\t\tevaluator.setSimilarity(true, false, false);\n\n\t\t// add some data\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++++++++ (02:00) Philipp (5)\n\t\t// 31.12.15: (00:00) ++++++++++++ (02:00) Tobias (5)\n\t\t// @formatter:on\n\t\tloadData(\"Philipp\", 5, \"01.01.2015 00:00:00\", \"01.01.2015 02:00:00\");\n\t\tloadData(\"Tobias\", 5, \"31.12.2015 00:00:00\", \"31.12.2015 02:00:00\");\n\n\t\t// get the similar once on a global measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS\", null), 1);\n\n\t\tassertEquals(1, res.size());\n\t\tr = res.get(0);\n\t\tassertEquals(0.0, r.getMeasureDistance(), 0.0);\n\t\tassertEquals(0.0, r.getTotalDistance(), 0.0);\n\t\t// 1451520000000l == 31 Dec 2015 00:00:00 UTC\n\t\tassertEquals(1451520000000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\t// add another data package\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++++++++ (02:00) Philipp (5)\n\t\t// 30.11.15: (00:10) +++++ (01:00) Philipp (5)\n\t\t// 31.12.15: (00:00) ++++++++++++ (02:00) Tobias (5)\n\t\t// @formatter:on\n\t\tloadData(\"Philipp\", 5, \"30.11.2015 00:10:00\", \"30.11.2015 01:00:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS\", \"NAME='Philipp'\"), 1);\n\t\tr = res.get(0);\n\t\t// 70 minutes (00:00 - 00:09 and 01:01 - 02:00), each 5 => 350\n\t\tassertEquals(350.0, r.getMeasureDistance(), 0.0);\n\t\tassertEquals(350.0, r.getTotalDistance(), 0.0);\n\t\t// 1448841600000l == 30 Nov 2015 00:00:00 UTC\n\t\tassertEquals(1448841600000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\t// add another data package\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++++++++ (02:00) Philipp (5)\n\t\t// (00:10) ++++ (00:50) Edison (5)\n\t\t// 30.11.15: (00:00) +++++ (00:50) Edison (5) \n\t\t// (00:10) +++++ (01:00) Philipp (5)\n\t\t// (01:00) ++++++ (02:00) Philipp (5)\n\t\t// 31.12.15: (00:00) ++++++++++++ (02:00) Tobias (5)\n\t\t// @formatter:on\n\t\tloadData(\"Edison\", 5, \"30.11.2015 00:00:00\", \"30.11.2015 00:50:00\");\n\t\tloadData(\"Philipp\", 5, \"30.11.2015 01:00:00\", \"30.11.2015 02:00:00\");\n\t\tloadData(\"Edison\", 5, \"01.01.2015 00:10:00\", \"01.01.2015 00:50:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS\", null), 1);\n\t\tr = res.get(0);\n\t\t// 1 minute (01:00:00), each 5 as value => 5\n\t\tassertEquals(5.0, r.getMeasureDistance(), 0.0);\n\t\tassertEquals(5.0, r.getTotalDistance(), 0.0);\n\t\t// 1448841600000l == 30 Nov 2015 00:00:00 UTC\n\t\tassertEquals(1448841600000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\t// fire one with dimensions\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++++++++ (02:00) Philipp (5)\n\t\t// (00:10) ++++ (00:50) Edison (5)\n\t\t// 30.11.15: (00:00) +++++ (00:50) Edison (5) \n\t\t// (00:10) +++++ (01:00) Philipp (5)\n\t\t// (01:00) ++++++ (02:00) Philipp (5)\n\t\t// 31.12.15: (00:00) ++++++++++++ (02:00) Tobias (5)\n\t\t// @formatter:on\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"MAX(SUM(IDEAS)) AS IDEAS ON TIME.DEF.HOUR\", null), 1);\n\n\t\tassertEquals(1, res.size());\n\t\tr = res.get(0);\n\t\t// 1 minute (01:00:00), each 5 for the whole hour ( 60) as value => 300\n\t\tassertEquals(300.0, r.getMeasureDistance(), 0.0);\n\t\tassertEquals(300.0, r.getTotalDistance(), 0.0);\n\t\tassertEquals(\"R20151130_0000_0059\", r.getLabelValue(0));\n\t}", "@Test(priority=2,groups = {\"smoke\"},\r\n\t\t\tdescription =\"Verify Zoom Functionality\")\r\n\tpublic void gethighchartsdate() throws Exception{\r\n\t\tdata = new CA_Visibility_Page(CurrentState.getDriver());\r\n\t\t\t\t\r\n\t\tString OneMonth =\"1m\";\r\n\t\tdata.clickHighchartCriteria(OneMonth);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t\t\r\n\t\tString ThreeMonth =\"3m\";\r\n\t\tdata.clickHighchartCriteria(ThreeMonth);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t\t\r\n\t\tString SixMonth =\"6m\";\r\n\t\tdata.clickHighchartCriteria(SixMonth);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t\t\r\n\t\tString OneYear =\"1y\";\r\n\t\tdata.clickHighchartCriteria(OneYear);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t\t\r\n\t\tString YearToDate =\"ytd\";\r\n\t\tdata.clickHighchartCriteria(YearToDate);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t\t\r\n\t\tString ALLDATA =\"all\";\r\n\t\tdata.clickHighchartCriteria(ALLDATA);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t}", "@Test\n\tpublic void stepSizeWorks() {\n\t\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\n\t\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 0, 10)); // linear function y = t\n\t\tt0.setInterpolationMode(InterpolationMode.LINEAR);\n\t\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\n\t\tt1.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 5, 20)); // linear function y = 2 * t + 5\n\t\tt1.setInterpolationMode(InterpolationMode.LINEAR);\n\t\tfinal MultiTimeSeriesIterator multiIt = MultiTimeSeriesIteratorBuilder.newBuilder(Arrays.asList(t0.iterator(),t1.iterator()))\n\t\t\t\t.setStepSize(-5, 10)\n\t\t\t\t.setGlobalInterpolationMode(InterpolationMode.LINEAR)\n\t\t\t\t.build();\n\t\tAssert.assertTrue(\"Multi iterator not correctly initialized\", multiIt.hasNext());\n\t\tfor (int i=0;i<t0.size()-1;i++) {\n\t\t\tAssert.assertTrue(\"Iterator lacks points\", multiIt.hasNext());\n\t\t\tSampledValueDataPoint point = multiIt.next();\n\t\t\tfinal long t = point.getTimestamp();\n\t\t\tSampledValue first = point.getElement(0, InterpolationMode.LINEAR);\n\t\t\tSampledValue second = point.getElement(1, InterpolationMode.LINEAR);\n\t\t\tAssert.assertEquals(\"Unexpected time stamp in step size iterator\", 5+10i, t);\n\t\t\tAssert.assertEquals(\"Step size iterator: unexpected value\",5 + 10i, first.getValue().getFloatValue(), 0.01F);\n\t\t\tAssert.assertEquals(\"Step size iterator: unexpected value\",15 + 20i, second.getValue().getFloatValue(), 0.01F);\n\t\t\tif (i > 0) {\n\t\t\t\tfirst = point.previous(0);\n\t\t\t\tsecond = point.previous(1);\n\t\t\t\tAssert.assertEquals(\"Iterator's previous failed: unexpected time stamp\", 10i, first.getTimestamp());\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\", 10i, first.getValue().getFloatValue(), 0.01F);\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\", 5 + 20i, second.getValue().getFloatValue(), 0.01F);\n\t\t\t}\n\t\t\tif (i < t0.size()-2) {\n\t\t\t\tfirst = point.next(0);\n\t\t\t\tsecond = point.next(1);\n\t\t\t\tAssert.assertEquals(\"Iterator's next failed: unexpected time stamp\", 10(i+1), first.getTimestamp());\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\", 10(i+1), first.getValue().getFloatValue(), 0.01F);\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\", 25 + 20i, second.getValue().getFloatValue(), 0.01F);\n\t\t\t}\n\t\t}\n\t}", "@Test\n public void scopeOfRatingsIsCoveringTp() {\n LocalDateTime firstTime = LocalDateTime.of(2017, Month.JANUARY, 1, 0, 0);\n\n //start with creating tp (proportional), a little bit ahead\n // \|------\|\n TimePeriod tp = new TimePeriod(firstTime.plusHours(1), firstTime.plusHours(8));\n\n\n /match tp with ratings and chunkEnd so we have (proportional scale)\n ratings \|o---------\|\|\n * tp: \|-------\|\n \n /\n ScoreTime rStart = new ScoreTime(firstTime, 6);\n LocalDateTime chunkEnd = firstTime.plusHours(10); //=> several hours after tp.end\n\n //this is the method we are testing\n double[] avgscoreAndWeight = RatingTime.calcAvgAndWeight(tp, Arrays.asList(rStart),\n chunkEnd);\n assertEquals(6.0, avgscoreAndWeight[0]);\n\n /* weight should equal durationOfRatingsInScopeOfTp/tp.duration\n ratingsInScopeOfTp = 7 hours\n tp.duration = 7 hours.\n weight should be 7/7 = 1.0\n /\n\n assertEquals(1.0, avgscoreAndWeight[1], 0.01);\n }", "@Test\n public void modTimeTest() {\n // TODO: test modTime\n }", "@Test\n public void testScale() {\n System.out.println(\"scale\");\n Float s = null;\n ImageFilter instance = null;\n BufferedImage expResult = null;\n BufferedImage result = instance.scale(s);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void test09() throws Throwable {\n SubCategoryAxis subCategoryAxis0 = new SubCategoryAxis(\"Null 'marker' not permitted.\");\n CombinedDomainCategoryPlot combinedDomainCategoryPlot0 = new CombinedDomainCategoryPlot((CategoryAxis) subCategoryAxis0);\n Layer layer0 = Layer.BACKGROUND;\n Collection collection0 = combinedDomainCategoryPlot0.getRangeMarkers(0, layer0);\n boolean boolean0 = combinedDomainCategoryPlot0.isRangeCrosshairLockedOnData();\n DefaultMultiValueCategoryDataset defaultMultiValueCategoryDataset0 = new DefaultMultiValueCategoryDataset();\n combinedDomainCategoryPlot0.setDataset((CategoryDataset) defaultMultiValueCategoryDataset0);\n ValueAxis[] valueAxisArray0 = new ValueAxis[8];\n LogarithmicAxis logarithmicAxis0 = new LogarithmicAxis(\"Null 'marker' not permitted.\");\n valueAxisArray0[0] = (ValueAxis) logarithmicAxis0;\n NumberAxis3D numberAxis3D0 = new NumberAxis3D(\"Null 'marker' not permitted.\");\n valueAxisArray0[1] = (ValueAxis) numberAxis3D0;\n LogarithmicAxis logarithmicAxis1 = new LogarithmicAxis(\"Null 'marker' not permitted.\");\n valueAxisArray0[2] = (ValueAxis) logarithmicAxis1;\n CyclicNumberAxis cyclicNumberAxis0 = new CyclicNumberAxis((double) 0);\n valueAxisArray0[3] = (ValueAxis) cyclicNumberAxis0;\n NumberAxis numberAxis0 = new NumberAxis();\n valueAxisArray0[4] = (ValueAxis) numberAxis0;\n ZoneInfo zoneInfo0 = (ZoneInfo)TimeZone.getDefault();\n Locale locale0 = JComponent.getDefaultLocale();\n TimeTableXYDataset timeTableXYDataset0 = new TimeTableXYDataset((TimeZone) zoneInfo0, locale0);\n Range range0 = timeTableXYDataset0.getDomainBounds(true);\n ModuloAxis moduloAxis0 = null;\n try {\n moduloAxis0 = new ModuloAxis(\"\", (Range) null);\n } catch(TooManyResourcesException e) {\n //\n // Loop has been executed more times than the allowed 10000\n //\n assertThrownBy(\"org.evosuite.runtime.LoopCounter\", e);\n }\n }", "@Test()\n public void testGetForecastPerMonthWithYearly() {\n\tYearMonth yearMonth = YearMonth.of(2016, 8);\n\tdouble forecast = expenseManager.getForecastPerMonth(yearMonth);\n\tassertEquals(3795.75, forecast, 0.01);\n }", "public static interface DataTypeWithRatioScale<T> {\r\n \r\n /\r\n Add\r\n \r\n @param augend\r\n * @param addend\r\n * @return\r\n /\r\n public abstract T add(T augend, T addend);\r\n\r\n /\r\n Compare\r\n \r\n @param s1\r\n * @param s2\r\n * @return\r\n * @throws NumberFormatException\r\n * @throws ParseException\r\n /\r\n public abstract int compare(String s1, String s2) throws NumberFormatException,\r\n ParseException;\r\n\r\n /\r\n Compare\r\n \r\n @param t1\r\n * @param t2\r\n * @return\r\n /\r\n public abstract int compare(T t1, T t2);\r\n\r\n /\r\n Divide\r\n \r\n @param dividend\r\n * @param divisor\r\n * @return\r\n /\r\n public abstract String divide(String dividend, String divisor);\r\n \r\n /\r\n Divide\r\n \r\n @param dividend\r\n * @param divisor\r\n * @return\r\n /\r\n public abstract T divide(T dividend, T divisor);\r\n \r\n /\r\n Format\r\n \r\n @param t\r\n * @return\r\n /\r\n public abstract String format(T t);\r\n\r\n /\r\n Converts a double into a value.\r\n \r\n @param s\r\n * @return\r\n /\r\n public abstract T fromDouble(Double d);\r\n\r\n /\r\n Description\r\n \r\n @return\r\n /\r\n public abstract DataTypeDescription<T> getDescription();\r\n\r\n /\r\n Maximum\r\n \r\n @return\r\n /\r\n public T getMaximum();\r\n \r\n /\r\n Minimum\r\n \r\n @return\r\n /\r\n public T getMinimum();\r\n\r\n /\r\n Valid\r\n \r\n @param s\r\n * @return\r\n /\r\n public abstract boolean isValid(String s);\r\n\r\n /\r\n Multiply\r\n \r\n @param multiplicand\r\n * @param multiplicator\r\n * @return\r\n /\r\n public abstract String multiply(String multiplicand,\r\n String multiplicator);\r\n\r\n /\r\n Multiply\r\n \r\n @param multiplicand\r\n * @param multiplicator\r\n * @return\r\n /\r\n public abstract T multiply(T multiplicand, double multiplicator);\r\n\r\n /\r\n Multiply\r\n \r\n @param multiplicand\r\n * @param multiplicator\r\n * @return\r\n /\r\n public abstract T multiply(T multiplicand, int multiplicator);\r\n\r\n /\r\n Multiply\r\n \r\n @param multiplicand\r\n * @param multiplicator\r\n * @return\r\n /\r\n public abstract T multiply(T multiplicand, T multiplicator);\r\n \r\n /\r\n Parse\r\n \r\n @param s\r\n * @return\r\n /\r\n public abstract T parse(String s);\r\n\r\n /\r\n Divide\r\n \r\n @param dividend\r\n * @param divisor\r\n * @return\r\n /\r\n public abstract double ratio(T dividend, T divisor);\r\n \r\n /\r\n Subtract\r\n \r\n @param minuend\r\n * @param subtrahend\r\n * @return\r\n /\r\n public abstract T subtract(T minuend, T subtrahend);\r\n \r\n /\r\n Converts a double into a value.\r\n \r\n @param s\r\n * @return\r\n /\r\n public abstract Double toDouble(T t);\r\n }", "@Test\r\n public void testSplineApproximator() {\r\n List<Point> data = createConvergingDataset();\r\n List<ExpectedApproximation> exp = new ArrayList<ExpectedApproximation>();\r\n // inside\r\n exp.add(new ExpectedApproximation(400, 3, 700));\r\n exp.add(new ExpectedApproximation(1000, 17, 1050));\r\n // outside\r\n exp.add(new ExpectedApproximation(0, 0, 400));\r\n exp.add(new ExpectedApproximation(1062, 40, 1066));\r\n test(SplineInterpolationLinearExtrapolationApproximator.INSTANCE, data, exp);\r\n\r\n data = createLinearDataset();\r\n exp.clear();\r\n // inside\r\n exp.add(new ExpectedApproximation(100, 3, 200));\r\n exp.add(new ExpectedApproximation(300, 11, 400));\r\n // outside\r\n exp.add(new ExpectedApproximation(0, 0, 100));\r\n exp.add(new ExpectedApproximation(400, 17, 500));\r\n test(SplineInterpolationLinearExtrapolationApproximator.INSTANCE, data, exp);\r\n \r\n data = createIncreasingDecreasingDataset();\r\n exp.clear();\r\n // inside\r\n exp.add(new ExpectedApproximation(400, 3, 700));\r\n exp.add(new ExpectedApproximation(700, 23, 900));\r\n // outside\r\n exp.add(new ExpectedApproximation(0, 0, 400));\r\n exp.add(new ExpectedApproximation(0, 35, 500));\r\n test(SplineInterpolationLinearExtrapolationApproximator.INSTANCE, data, exp);\r\n }", "@Test\n public void test72() throws Throwable {\n CombinedRangeCategoryPlot combinedRangeCategoryPlot0 = new CombinedRangeCategoryPlot();\n combinedRangeCategoryPlot0.mapDatasetToDomainAxis(304, 908);\n Point2D.Double point2D_Double0 = new Point2D.Double((double) 304, (double) 908);\n AxisLocation axisLocation0 = AxisLocation.TOP_OR_LEFT;\n combinedRangeCategoryPlot0.setRangeAxisLocation(908, axisLocation0);\n CategoryAxis3D categoryAxis3D0 = new CategoryAxis3D(\"org.jfree.chart.annotations.XYBoxAnnotation\");\n combinedRangeCategoryPlot0.setDomainAxis((CategoryAxis) categoryAxis3D0);\n point2D_Double0.x = 4978.54542523173;\n String string0 = combinedRangeCategoryPlot0.getPlotType();\n ValueAxis[] valueAxisArray0 = new ValueAxis[6];\n DateAxis dateAxis0 = new DateAxis(\"org.jfree.chart.annotations.XYBoxAnnotation\");\n valueAxisArray0[0] = (ValueAxis) dateAxis0;\n CyclicNumberAxis cyclicNumberAxis0 = new CyclicNumberAxis((-1.0), (double) 304);\n valueAxisArray0[1] = (ValueAxis) cyclicNumberAxis0;\n NumberAxis numberAxis0 = new NumberAxis(\"z)m!{V![\");\n valueAxisArray0[2] = (ValueAxis) numberAxis0;\n SimpleDateFormat simpleDateFormat0 = (SimpleDateFormat)DateFormat.getInstance();\n ZoneInfo zoneInfo0 = (ZoneInfo)simpleDateFormat0.getTimeZone();\n DateAxis dateAxis1 = new DateAxis(\"org.jfree.chart.annotations.XYBoxAnnotation\", (TimeZone) zoneInfo0);\n valueAxisArray0[3] = (ValueAxis) dateAxis1;\n DefaultValueDataset defaultValueDataset0 = new DefaultValueDataset();\n ThermometerPlot thermometerPlot0 = new ThermometerPlot((ValueDataset) defaultValueDataset0);\n NumberAxis numberAxis1 = (NumberAxis)thermometerPlot0.getRangeAxis();\n valueAxisArray0[4] = (ValueAxis) numberAxis1;\n String[] stringArray0 = new String[7];\n stringArray0[0] = \"z)m!{V![\";\n stringArray0[1] = \"\";\n stringArray0[2] = \"%}~t\|T'c.q2O/M@;Vu5\";\n stringArray0[3] = \"?_t}%h[qlt\";\n stringArray0[4] = \"z)m!{V![\";\n stringArray0[5] = \"z)m!{V![\";\n stringArray0[6] = \"d%)TD6zCx!%m^]\|\";\n }", "@Test\n public void testPrediction1() throws Exception {\n\n final CalUtils.InstantGenerator instantGenerator =\n new LocalTimeMinutes(5);\n \n final double coreDailyVols[][] = new double[][] {\n new double[] {55219 , 262256 , 202661 , 218359 , 178244 , 99610 , 92348 , 124795 , 214370 , 153854 , 204116 , 173501 , 85390 , 156835 , 108070 , 23755 , 118573 , 70117 , 55768 , 52643 , 71485 , 407645 , 442909 , 129109 , 188896 , 79590 , 422121 , 290067 , 227955 , 69257 , 41634 , 446002 , 579188 , 86237 , 1606794 , 83676 , 166393 , 84987 , 875905 , 117013 , 399084 , 116190 , 149507 , 207221 , 60857 , 155612 , 448006 , 198637 , 67695 , 65423 , 180038 , 88774 , 80273 , 86065 , 85231 , 38867 , 29330 , 116353 , 26887 , 34170 , 102518 , 72246 , 21274 , 70752 , 37912 , 49367 , 100472 , 49461 , 41735 , 45795 , 36578 , 311945 , 249039 , 70487 , 121906 , 136424 , 195136 , 166308 , 331734 , 343180 , 419616 , 104613 , 1354058 , 162678 , 141067 , 147039 , 149115 , 271162 , 543989 , 184421 , 340679 , 201939 , 293860 , 171035 , 263964 , 260198 , 428087 , 565126 , 385874 , 547890 , 384416 , 256696 , 0 , 4738359},\n new double[] {1298630 , 678084 , 488607 , 224766 , 434263 , 356933 , 576571 , 219236 , 252805 , 414776 , 166828 , 174665 , 146281 , 110944 , 145234 , 179739 , 253111 , 175685 , 64925 , 216682 , 494507 , 100205 , 67371 , 101019 , 158026 , 316281 , 334067 , 954850 , 115547 , 163051 , 130303 , 107600 , 1407996 , 90357 , 110452 , 451866 , 238004 , 3096215 , 2672803 , 190170 , 111282 , 107135 , 453389 , 60821 , 98292 , 1310864 , 1132267 , 241907 , 89915 , 175676 , 61621 , 521553 , 212388 , 288651 , 193578 , 272161 , 256777 , 236382 , 802159 , 230248 , 387068 , 160647 , 106999 , 391933 , 465080 , 374577 , 340378 , 330708 , 416320 , 200347 , 251986 , 336664 , 311970 , 600559 , 508011 , 922379 , 311581 , 352459 , 508727 , 159316 , 1355635 , 246541 , 389672 , 805957 , 370754 , 382556 , 316971 , 564228 , 437166 , 277733 , 1284505 , 1763095 , 169661 , 280682 , 969102 , 540315 , 451895 , 308036 , 715130 , 642966 , 981563 , 900778 , 0 , 7155528},\n new double[] {679280 , 229518 , 346536 , 347215 , 316025 , 313890 , 235844 , 199995 , 1920617 , 129356 , 172084 , 207860 , 317578 , 10369008 , 480990 , 1403537 , 1021730 , 156125 , 94833 , 366987 , 145687 , 322957 , 328120 , 66657 , 176001 , 271003 , 133121 , 558624 , 264638 , 638663 , 165080 , 129439 , 5126344 , 5438632 , 248806 , 250616 , 112716 , 54523 , 198097 , 67772 , 1414565 , 244509 , 246205 , 151540 , 98584 , 51217 , 94193 , 111763 , 104726 , 45880 , 64242 , 78893 , 60706 , 48117 , 133085 , 101941 , 5103803 , 5084823 , 168230 , 75537 , 815036 , 73409 , 422412 , 437127 , 115802 , 326536 , 54707 , 81759 , 94420 , 208637 , 50361 , 1458556 , 84257 , 129114 , 54632 , 105873 , 57165 , 77578 , 233302 , 195560 , 134194 , 180928 , 140433 , 123154 , 221422 , 339866 , 1343886 , 114699 , 170052 , 150679 , 181731 , 160943 , 192590 , 125556 , 132656 , 154740 , 320932 , 140929 , 117889 , 381656 , 393635 , 306177 , 0 , 21629250},\n new double[] {526909 , 167180 , 199570 , 149154 , 142141 , 320881 , 223750 , 102275 , 258400 , 202197 , 120202 , 93404 , 178631 , 106401 , 346186 , 231729 , 163656 , 1622531 , 125689 , 2656587 , 5336032 , 2385985 , 335692 , 86118 , 130551 , 99047 , 81695 , 98846 , 238413 , 4831684 , 293262 , 124652 , 106642 , 112048 , 14284646 , 111209 , 2204635 , 128940 , 83395 , 134816 , 116320 , 65412 , 165020 , 126511 , 92217 , 111751 , 47320 , 82219 , 19044177 , 70827 , 21676 , 211214 , 103108 , 22771 , 61629 , 4816563 , 63806 , 33989 , 130104 , 146897 , 15046441 , 44977 , 40889 , 54584 , 54591 , 76634 , 238536 , 68583 , 110591 , 75012 , 503760 , 209479 , 217929 , 86397 , 102284 , 81878 , 252785 , 135884 , 129149 , 112760 , 266851 , 110863 , 67866 , 55205 , 150165 , 699438 , 184450 , 270270 , 4270036 , 345303 , 895116 , 217142 , 145398 , 301231 , 10260595 , 136317 , 442910 , 371357 , 189023 , 538928 , 438973 , 926728 , 9137 , 8879481},\n new double[] {1318228 , 1391326 , 574558 , 441739 , 719144 , 522626 , 404351 , 383602 , 490710 , 284952 , 2984474 , 216339 , 10220195 , 247067 , 166223 , 224310 , 10181837 , 126161 , 9764418 , 692337 , 25907353 , 1518741 , 1179929 , 120730 , 10173292 , 290045 , 19824327 , 402527 , 277859 , 3116841 , 7164061 , 332021 , 10560006 , 2334129 , 121753 , 200177 , 246402 , 10106648 , 1137272 , 2084673 , 461849 , 125108 , 465907 , 156972 , 139083 , 127389 , 237263 , 311691 , 156536 , 155322 , 133368 , 329715 , 256088 , 116835 , 5192615 , 823762 , 183836 , 1110239 , 2414836 , 385072 , 599637 , 387285 , 291580 , 2796924 , 12977051 , 338582 , 884415 , 525622 , 322587 , 223348 , 668858 , 143039 , 627590 , 239797 , 232788 , 256503 , 209425 , 375474 , 558106 , 290991 , 1176648 , 286550 , 149539 , 297435 , 602136 , 152733 , 212363 , 178992 , 179644 , 295428 , 933636 , 349405 , 660749 , 226061 , 868852 , 318539 , 469303 , 538061 , 273643 , 444084 , 347730 , 825808 , 12011 , 7792372}};\n\n final SimpleDateFormat dateBuilder = new SimpleDateFormat(\"yyyy-MM-dd\");\n final Calendar moments[] = new Calendar[] { Calendar.getInstance(), \n Calendar.getInstance(), Calendar.getInstance(), \n Calendar.getInstance(), Calendar.getInstance(),\n Calendar.getInstance() };\n\n moments[0].setTime(dateBuilder.parse(\"2011-10-26\"));\n moments[1].setTime(dateBuilder.parse(\"2011-10-27\"));\n moments[2].setTime(dateBuilder.parse(\"2011-10-28\"));\n moments[3].setTime(dateBuilder.parse(\"2011-10-30\"));\n moments[4].setTime(dateBuilder.parse(\"2011-11-01\"));\n moments[5].setTime(dateBuilder.parse(\"2011-11-02\"));\n\n // Nomralize data to sum 100 (i.e., have an expectance of 100/104)\n for(int i=0; i<5; i++) {\n double sum = 0;\n for(int j=0; j<104; j++) sum += coreDailyVols[i][j];\n for(int j=0; j<104; j++) {\n coreDailyVols[i][j] = coreDailyVols[i][j]100 / sum;\n }\n }\n\n final double[][] synthesizedDailyVols = new double[\n coreDailyVols.length][instantGenerator.maxInstantValue()];\n final Calendar openTime = Calendar.getInstance();\n final int n = 960 / 5;\n final int m = n + coreDailyVols[0].length;\n for(int i=0; i<5; i++) {\n for(int j=0; j<n; j++) {\n synthesizedDailyVols[i][j] = Double.NaN;\n }\n for(int j=0; j<coreDailyVols[i].length; j++) {\n synthesizedDailyVols[i][j+n] = coreDailyVols[i][j];\n }\n for(int j=m; j<instantGenerator.maxInstantValue(); j++) {\n synthesizedDailyVols[i][j] = Double.NaN;\n }\n }\n\n\n final Predictor predictor = new PCAPredictorTransposed(\n instantGenerator, 5);\n for(int i=0; i<5; i++) {\n predictor.learnVector(moments[i], synthesizedDailyVols[i]);\n }\n final double prediction[] = predictor.predictVector(moments[5]);\n final double coreExpectedPrediction[] = new double[] {\n0.21383323, -0.08665493, -0.28527934, -0.45293966, -0.35525111, -0.49117788,\n-0.38114565, -0.60141152, -0.09029406, -0.44815719, -0.45152723, -0.58079146,\n-0.29110153, 1.54262599, -0.59900211, -0.48107804, -0.03280398, -0.59369964,\n-0.44886852, -0.43868587, 0.88745208, -0.10900099, -0.26251035, -0.71557572,\n-0.20051598, -0.57674404, 0.53793693, 0.15857465, -0.53212067, -0.13529962,\n-0.49171709, -0.32334222, 2.16101856, 0.46824882, 2.13337330, -0.48802957,\n-0.40084079, 1.62077396, 1.93080019, -0.59114756, -0.09429057, -0.68952951,\n-0.39819841, -0.63019599, -0.78762027, 0.12458423, 0.34847712, -0.52481068,\n0.69730449, -0.74290105, -0.68866588, -0.45964670, -0.69174165, -0.64825389,\n-0.49908622, -0.30049621, 0.35726449, 0.47210113, -0.25058065, -0.72112704,\n0.79345044, -0.73245678, -0.75581875, -0.40885896, -0.08033429, -0.56030291,\n-0.54967743, -0.63571829, -0.58889882, -0.71099478, -0.67055922, -0.03850658,\n-0.40339282, -0.43003588, -0.44813762, -0.14347007, -0.48441216, -0.48851502,\n-0.15427010, -0.39484463, 0.52701151, -0.61335693, 0.89776479, -0.18821502,\n-0.46457371, -0.39850394, -0.26234640, -0.21535441, 0.33669589, -0.48879971,\n0.43892192, 0.52101182, -0.42851659, -0.51364225, 0.85831207, -0.24052028,\n-0.04192086, -0.02287821, 0.01522206, 0.24307671, 0.27369478, 0.11058009,\n-0.95575786, 14.90733910 };\n final double synthesizedExpectedPrediction[] = new double[\n instantGenerator.maxInstantValue()];\n for(int j=0; j<n; j++) {\n synthesizedExpectedPrediction[j] = Double.NaN;\n }\n for(int j=0; j<coreExpectedPrediction.length; j++) {\n synthesizedExpectedPrediction[j+n] = coreExpectedPrediction[j];\n }\n for(int j=m; j<instantGenerator.maxInstantValue(); j++) {\n synthesizedExpectedPrediction[j] = Double.NaN;\n }\n\n assertEquals(prediction.length, synthesizedExpectedPrediction.length);\n\n for(int i=0; i<prediction.length; i++) {\n assertEquals(prediction[i], synthesizedExpectedPrediction[i], \n 0.0001d);\n }\n System.out.println(\"Ok\");\n }", "@Test\n public void zoomInAndOut() throws Exception {\n assertEquals(calendarPanel.getCalendarView().getMonthPage(), calendarPanel.getPageBase());\n\n //zoom in to Week Page\n raiseZoomInEvent();\n assertEquals(calendarPanel.getCalendarView().getWeekPage(), calendarPanel.getPageBase());\n\n //zoom in to Day Page\n raiseZoomInEvent();\n assertEquals(calendarPanel.getCalendarView().getDayPage(), calendarPanel.getPageBase());\n\n //can't zoom in anymore, stays at Day Page\n raiseZoomInEvent();\n assertEquals(calendarPanel.getCalendarView().getDayPage(), calendarPanel.getPageBase());\n\n //zoom out to Week Page\n raiseZoomOutEvent();\n assertEquals(calendarPanel.getCalendarView().getWeekPage(), calendarPanel.getPageBase());\n\n //zoom out to Month Page\n raiseZoomOutEvent();\n assertEquals(calendarPanel.getCalendarView().getMonthPage(), calendarPanel.getPageBase());\n\n //zoom out to Year Page\n raiseZoomOutEvent();\n assertEquals(calendarPanel.getCalendarView().getYearPage(), calendarPanel.getPageBase());\n\n //can't zoom out anymore, stays at Year Page\n raiseZoomOutEvent();\n assertEquals(calendarPanel.getCalendarView().getYearPage(), calendarPanel.getPageBase());\n\n //zoom in to Month Page\n raiseZoomInEvent();\n assertEquals(calendarPanel.getCalendarView().getMonthPage(), calendarPanel.getPageBase());\n }", "private void setTimeSpanFormat(HistogramAccumulate histogram){\n\t\tif(histogram.getShowTimeSpansInReport()){\n\t\t\tTimeUnit maxUnit\t= null, minUnit\t= null;\n\t\t\tthis.timeSpanForm\t= new boolean[TimeUnit.values().length];\n\t\t\tfor(TimeUnit tu: TimeUnit.values()){\n\t\t\t\tTimeSpan t; long tV = -1; double tN;\n\t\t\t\tboolean tNisZerro = true;\n\t\t\t\tfor(int i=0; i<histogram.getCells()+2; i++){\n\t\t\t\t\tif(histogram.getLowerLimit(i) >= 0.0 && \n\t\t\t\t\t\t\thistogram.getLowerLimit(i) < Long.MAX_VALUE){\n\t\t\t\t\t\tt \t= new TimeSpan(histogram.getLowerLimit(i));\n\t\t\t\t\t\ttV \t= t.getTimeTruncated(tu);\t\t\t\t// Vorkomma Stellen\n\t\t\t\t\t\ttN\t= Math.abs(t.getTimeAsDouble(tu)-tV);\t// Nachkomma Stellen\n\t\t\t\t\t\t//if(tN != 0.0) tNisZerro = false;\n\t\t\t\t\t\tif(TimeSpan.isLonger(new TimeSpan(tN, tu), TimeSpan.ZERO))\n\t\t\t\t\t\t\ttNisZerro = false;\n\t\t\t\t\t\t//System.out.println(t);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(tV == 0 && maxUnit == null)\tmaxUnit = tu;\n\t\t\t\tif(tNisZerro) minUnit = tu;\n\t\t\t}\n\t\t\t//System.out.println(\"maxUnit: \"+this.maxUnit.name()+\" minUnit: \"+this.minUnit.name());\n\t\t\tboolean s = false;\n\t\t\tfor(int j=0; j<this.timeSpanForm.length; j++){\n\t\t\t\tif(minUnit.equals(TimeUnit.values()[j])) s = true;\n\t\t\t\tif(maxUnit != null && maxUnit.equals(TimeUnit.values()[j])) {\n\t\t\t\t\ts = false;\n\t\t\t\t\tthis.mayorTimeUnit = TimeUnit.values()[j-1];\n\t\t\t\t}\n\t\t\t\tthis.timeSpanForm[j]\t= s;\n\t\t\t}\n\t\t\tif(maxUnit == null) this.mayorTimeUnit = TimeUnit.DAYS;\n\n\t\t\t// manage seconds, milliseconds, ...\n\t\t\tfor(int i=3; i>=0; i--){\n\t\t\t\tif(this.timeSpanForm[i]){\n\t\t\t\t\tfor(int j=i-1; j>=0; j--) this.timeSpanForm[j] = false;\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t/\n\t\t\tfor(int j=0; j<this.timeSpanForm.length; j++){\n\t\t\t\tSystem.out.println(TimeUnit.values()[j]+\" \"+this.timeSpanForm[j]);\n\t\t\t}\n\t\t\t/\n\t\t}\n\t}", "private void setTimeSpanFormat(Histogram histogram){\n\t\tif(histogram.getShowTimeSpansInReport()){\n\t\t\tTimeUnit maxUnit\t= null, minUnit\t= null;\n\t\t\tthis.timeSpanForm\t= new boolean[TimeUnit.values().length];\n\t\t\tfor(TimeUnit tu: TimeUnit.values()){\n\t\t\t\tTimeSpan t; long tV = -1; double tN;\n\t\t\t\tboolean tNisZerro = true;\n\t\t\t\tfor(int i=0; i<histogram.getCells()+2; i++){\n\t\t\t\t\tif(histogram.getLowerLimit(i) >= 0.0 && \n\t\t\t\t\t\t\thistogram.getLowerLimit(i) < Long.MAX_VALUE){\n\t\t\t\t\t\tt \t= new TimeSpan(histogram.getLowerLimit(i));\n\t\t\t\t\t\ttV \t= t.getTimeTruncated(tu);\t\t\t\t// Vorkomma Stellen\n\t\t\t\t\t\ttN\t= Math.abs(t.getTimeAsDouble(tu)-tV);\t// Nachkomma Stellen\n\t\t\t\t\t\t//if(tN != 0.0) tNisZerro = false;\n\t\t\t\t\t\tif(TimeSpan.isLonger(new TimeSpan(tN, tu), TimeSpan.ZERO))\n\t\t\t\t\t\t\ttNisZerro = false;\n\t\t\t\t\t\t//System.out.println(t);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(tV == 0 && maxUnit == null)\tmaxUnit = tu;\n\t\t\t\tif(tNisZerro) minUnit = tu;\n\t\t\t}\n\t\t\t//System.out.println(\"maxUnit: \"+this.maxUnit.name()+\" minUnit: \"+this.minUnit.name());\n\t\t\tboolean s = false;\n\t\t\tfor(int j=0; j<this.timeSpanForm.length; j++){\n\t\t\t\tif(minUnit.equals(TimeUnit.values()[j])) s = true;\n\t\t\t\tif(maxUnit != null && maxUnit.equals(TimeUnit.values()[j])){\n\t\t\t\t\ts = false;\n\t\t\t\t\tthis.mayorTimeUnit = TimeUnit.values()[j-1];\n\t\t\t\t}\n\t\t\t\tthis.timeSpanForm[j]\t= s;\n\t\t\t}\n\t\t\tif(maxUnit == null) this.mayorTimeUnit = TimeUnit.DAYS;\n\t\t\t\n\t\t\t// manage seconds, milliseconds, ...\n\t\t\tfor(int i=3; i>=0; i--){\n\t\t\t\tif(this.timeSpanForm[i]){\n\t\t\t\t\tfor(int j=i-1; j>=0; j--) this.timeSpanForm[j] = false;\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t/\n\t\t\tfor(int j=0; j<this.timeSpanForm.length; j++){\n\t\t\t\tSystem.out.println(TimeUnit.values()[j]+\" \"+this.timeSpanForm[j]);\n\t\t\t}\n\t\t\t/\n\t\t\t\n\t\t}\n\t}", "private boolean isWithInScale(Rule r) {\n return ((r.getMinScaleDenominator() - TOLERANCE) <= scaleDenominator)\n && ((r.getMaxScaleDenominator() + TOLERANCE) > scaleDenominator);\n }", "private static void performChangeBy(Temperature t, double delta, char scale) {\n\n if (scale == CEL_SCALE_CODE) { \n System.out.printf(\"Calling changeBy(%f,true)\\n\", delta);\n t.changeBy(delta, true); \n }\n else if (scale == FAH_SCALE_CODE) { \n System.out.printf(\"Calling changeBy(%f,false)\\n\", delta);\n t.changeBy(delta, false);\n }\n else {\n System.out.printf(\"Calling changeBy(%f)\\n\", delta);\n t.changeBy(delta);\n }\n }", "@Test\n public void testTimelyTest() {\n }", "@Test\n public void DataSmoothTest31() {\n\t LinkedList<Double> runtimes3 = D1.dataSmooth(shows4);\n\t \n\t for(int i = 0; i < runtimes3.size(); i++) {\n\t\t assertEquals(runtimes3.get(i), showResults4.get(i), 0.01);\n\t }\n }", "@Test(timeout = 4000)\n public void test015() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[7];\n intArray0[0] = 0;\n intArray0[1] = 1;\n intArray0[2] = 952;\n intArray0[3] = 2;\n intArray0[4] = 1;\n intArray0[5] = 1;\n intArray0[6] = 0;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {0, 1, 952, 2, 1, 1, 0}, intArray0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(7, intArray0.length);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean(2, 2);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot1.getRowName(2);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n int int0 = resultMatrixGnuPlot0.getDefaultColNameWidth();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n resultMatrixGnuPlot0.setRowHidden(0, false);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n boolean boolean0 = resultMatrixSignificance0.getDefaultShowStdDev();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n String string2 = resultMatrixGnuPlot0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string2);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int1 = resultMatrixPlainText0.getDisplayRow(44);\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals((-1), int1);\n assertFalse(int1 == int0);\n }", "@Test\n\tpublic void testMakeMeterSectionOnsets() {\n\t\tScorePiece sp = new ScorePiece(MIDIImport.importMidiFile(midiTestGetMeterKeyInfo));\n\t\tScoreMetricalTimeLine smtl = new ScoreMetricalTimeLine(sp.getMetricalTimeLine());\n\n\t\tList<Rational> expected = Arrays.asList(new Rational[]{\n\t\t\tnew Rational(0, 4),\n\t\t\tnew Rational(3, 4),\n\t\t\tnew Rational(19, 4),\n\t\t\tnew Rational(43, 4),\n\t\t\tnew Rational(51, 4),\n\t\t\tnew Rational(209, 16)\n\t\t});\n\t\t\n\t\tList<Rational> actual = smtl.makeMeterSectionOnsets();\n\n\t\tassertEquals(expected.size(), actual.size());\n\t\tfor (int i = 0; i < expected.size(); i++) {\n\t\t\tassertEquals(expected.get(i), actual.get(i));\t\t\n\t\t}\n\t\tassertEquals(expected, actual);\n\t}", "@Test(timeout = 4000)\n public void test034() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String string0 = resultMatrixPlainText0.toString();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Dataset (1) col0 \\n-----------------------------------\\nrow0 (0) \|\\n-----------------------------------\\n(v/ /) \|\\n\", string0);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixPlainText0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.setRowNameWidth(2);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixHTML0.setRowNameWidth(0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setRowNameWidth(0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n boolean boolean0 = resultMatrixHTML0.getShowAverage();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n boolean boolean1 = resultMatrixPlainText0.isSignificance(3);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertTrue(boolean1);\n assertFalse(boolean1 == boolean0);\n \n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(1, resultMatrixHTML1.getRowCount());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertNotNull(resultMatrixHTML1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n \n int int0 = resultMatrixHTML1.getColCount();\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(1, resultMatrixHTML1.getRowCount());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertNotSame(resultMatrixHTML1, resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, int0);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n \n int[] intArray0 = resultMatrixHTML0.getRowOrder();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertNull(intArray0);\n assertNotSame(resultMatrixHTML0, resultMatrixHTML1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixHTML0.equals((Object)resultMatrixHTML1));\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(22, 1);\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(22, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(22, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixCSV0.setMeanPrec(0);\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(22, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(22, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String[][] stringArray0 = resultMatrixPlainText0.toArray();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(stringArray0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(3, stringArray0.length);\n \n String string1 = resultMatrixCSV0.getSummaryTitle((-110));\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(22, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(22, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"[\", string1);\n assertFalse(string1.equals((Object)string0));\n \n String string2 = resultMatrixCSV0.toStringRanking();\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(22, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(22, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(string2.equals((Object)string1));\n \n double double0 = resultMatrixGnuPlot0.getAverage(15);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0.0, double0, 0.01);\n \n resultMatrixPlainText0.assign(resultMatrixHTML0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertNotSame(resultMatrixHTML0, resultMatrixHTML1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixHTML0.equals((Object)resultMatrixHTML1));\n \n boolean boolean2 = resultMatrixGnuPlot0.isAverage((-509));\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean2);\n assertTrue(boolean2 == boolean0);\n assertFalse(boolean2 == boolean1);\n }", "@Test\n public void durationTest() {\n // TODO: test duration\n }", "public void testGetSubDimensionality()\n {\n RandomSubVectorThresholdLearner<String> instance = new RandomSubVectorThresholdLearner<String>();\n\n instance.setPercentToSample(0.5);\n assertEquals(5, instance.getSubDimensionality(10));\n\n instance.setPercentToSample(0.25);\n assertEquals(2, instance.getSubDimensionality(9));\n\n instance.setPercentToSample(1.0);\n assertEquals(9, instance.getSubDimensionality(9));\n\n instance.setPercentToSample(0.0);\n assertEquals(1, instance.getSubDimensionality(9));\n }", "public void testGetSubIntervalCount() {\n TaskSeriesCollection tsc = createCollection3();\n }", "@Test\n public void testMediaMovelSimples() {\n System.out.println(\"MediaMovelSimples\");\n int[] energia = null;\n int linhas = 0;\n double n = 0;\n Double[] expResult = null;\n Double[] resultArray = null;\n double[] result = ProjetoV1.MediaMovelSimples(energia, linhas, n);\n if (resultArray != null) {\n resultArray = ArrayUtils.converterParaArrayDouble(result);\n }\n assertArrayEquals(expResult, resultArray);\n\n }", "@Test\n public void testTrain_RegressionDataSet() {\n System.out.println(\"train\");\n RegressionDataSet trainSet = FixedProblems.getSimpleRegression1(150, new Random(2));\n RegressionDataSet testSet = FixedProblems.getSimpleRegression1(50, new Random(3));\n\n for (boolean modification1 : new boolean[] { true, false })\n for (SupportVectorLearner.CacheMode cacheMode : SupportVectorLearner.CacheMode.values()) {\n PlattSMO smo = new PlattSMO(new RBFKernel(0.5));\n smo.setCacheMode(cacheMode);\n smo.setC(1);\n smo.setEpsilon(0.1);\n smo.setModificationOne(modification1);\n smo.train(trainSet);\n\n double errors = 0;\n for (int i = 0; i < testSet.size(); i++)\n errors += Math.pow(testSet.getTargetValue(i) - smo.regress(testSet.getDataPoint(i)), 2);\n assertTrue(errors / testSet.size() < 1);\n }\n }", "@Test(timeout = 4000)\n public void test102() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixGnuPlot0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader((String) null);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test075() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[][] intArray0 = new int[2][4];\n int[] intArray1 = new int[1];\n intArray1[0] = 0;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray0[1] = intArray1;\n resultMatrixGnuPlot0.setRanking(intArray0);\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, intArray0.length);\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.setSize((-4715), (-4715));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "boolean hasMetricTreatment();", "public void testGetStartValue() {\n TaskSeriesCollection c = createCollection1();\n TaskSeriesCollection c3 = createCollection3();\n }", "void initScale(){\n samplingScale = getScaleAdaptive(x);\n }", "@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize();\n Locale.getISOLanguages();\n double[][] doubleArray0 = new double[9][8];\n double[] doubleArray1 = new double[3];\n double[] doubleArray2 = new double[9];\n doubleArray2[5] = (-163.0);\n doubleArray2[8] = 1421.4058829;\n doubleArray0[3] = doubleArray0[2];\n doubleArray0[4] = doubleArray0[1];\n discretize0.setOutputFormat();\n double[] doubleArray3 = new double[2];\n doubleArray3[0] = 1421.4058829;\n doubleArray3[1] = (-163.0);\n doubleArray0[6] = doubleArray2;\n double[] doubleArray4 = new double[0];\n doubleArray0[7] = doubleArray4;\n double[] doubleArray5 = new double[6];\n doubleArray5[2] = (-163.0);\n doubleArray0[8] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }", "ScaleType getScale();", "@Test\n public void testGenererTempsTriangulaire() throws Exception {\n System.out.println(\"genererTempsTriangulaire\");\n double min = 0.0;\n double mode = 0.0;\n double max = 0.0;\n double expResult = 0.0;\n double result = Utils.genererTempsTriangulaire(min, mode, max);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test137() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.getStdDev(1766, 1766);\n int[] intArray0 = new int[2];\n intArray0[0] = 2;\n intArray0[1] = 2;\n resultMatrixGnuPlot0.setColOrder(intArray0);\n resultMatrixGnuPlot0.LOSS_STRING = \"yAI>42JGo9\";\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixGnuPlot0);\n resultMatrixPlainText0.meanPrecTipText();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixGnuPlot0);\n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex(1529, 1766);\n }", "@Test\n public void testFindRate_PositiveResult_Mon9to12() {\n System.out.println(\"FindRate-positive result mon 0900-1200\");\n AssertRateFound(\"2015-07-06T09:00:00Z\", \"2015-07-06T20:59:00Z\", 1500); \n }", "public void testGetStartValue2() {\n TaskSeriesCollection c = createCollection2();\n TaskSeriesCollection c3 = createCollection3();\n }", "@Test(timeout = 4000)\n public void test003() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray0[1] = intArray2;\n int[] intArray3 = new int[1];\n assertFalse(intArray3.equals((Object)intArray2));\n assertFalse(intArray3.equals((Object)intArray1));\n \n intArray0[2] = intArray3;\n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean(1129, 97);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixGnuPlot0);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot1.getRowName(1);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n resultMatrixGnuPlot1.m_MeanWidth = 1129;\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(1129, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n \n int int0 = resultMatrixGnuPlot1.getDefaultColNameWidth();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(1129, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n boolean boolean0 = resultMatrixGnuPlot1.getDefaultEnumerateColNames();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(1129, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n }", "@Test(timeout = 4000)\n public void test004() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.assign((ResultMatrix) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test()\n public void testGetForecastPerMonth() {\n\tYearMonth yearMonth = YearMonth.of(2016, 4);\n\tdouble forecast = expenseManager.getForecastPerMonth(yearMonth);\n\tassertEquals(483, forecast, 0);\n }", "@Test\n public void testGetLimite() {\n \n assertEquals(50.0, soin1.getLimite(),0.01);\n assertEquals(80.0, soin2.getLimite(),0.01);\n }", "@Test\n\tpublic void stepSizeWorksWithHistory() {\n\t\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\n\t\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 0, 10)); // linear function y = t\n\t\tt0.setInterpolationMode(InterpolationMode.LINEAR);\n\t\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\n\t\tt1.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 5, 20)); // linear function y = 2 * t + 5\n\t\tt1.setInterpolationMode(InterpolationMode.LINEAR);\n\t\tfinal MultiTimeSeriesIterator multiIt = MultiTimeSeriesIteratorBuilder.newBuilder(Arrays.asList(t0.iterator(),t1.iterator()))\n\t\t\t\t.setStepSize(-5, 10)\n\t\t\t\t.setGlobalInterpolationMode(InterpolationMode.LINEAR)\n\t\t\t\t.setMaxNrHistoricalValues(1)\n\t\t\t\t.build();\n\t\tAssert.assertTrue(\"Multi iterator not correctly initialized\", multiIt.hasNext());\n\t\tfor (int i=0;i<t0.size()-1;i++) {\n\t\t\tAssert.assertTrue(\"Iterator lacks points\", multiIt.hasNext());\n\t\t\tSampledValueDataPoint point = multiIt.next();\n\t\t\tif (i > 0) {\n\t\t\t\tSampledValueDataPoint previous = point.getPrevious(1);\n\t\t\t\tAssert.assertEquals(\"Iterator's getPrevious failed: unexpected time stamp\", 5+10(i-1), previous.getTimestamp());\n\t\t\t\tAssert.assertEquals(\"Iterator's getPreviousTimestamp failed: unexpected time stamp\", 5+10(i-1), point.getPreviousTimestamp());\n\t\t\t\tSampledValue first = previous.getElement(0, InterpolationMode.LINEAR);\n\t\t\t\tSampledValue second = previous.getElement(1, InterpolationMode.LINEAR);\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\",5 + 10(i-1), first.getValue().getFloatValue(), 0.01F);\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\",15 + 20(i-1), second.getValue().getFloatValue(), 0.01F);\n\t\t\t}\n\t\t}\n\t}", "@Test(timeout = 4000)\n public void test012() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[] intArray0 = new int[1];\n intArray0[0] = 1;\n resultMatrixLatex0.setRowOrder(intArray0);\n assertArrayEquals(new int[] {1}, intArray0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, intArray0.length);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(1, 1);\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.m_StdDevPrec = 1;\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n \n int int0 = resultMatrixPlainText0.getDefaultCountWidth();\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(5, int0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixGnuPlot0.toStringMatrix();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"(1)\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\", string0);\n \n resultMatrixLatex0.m_ColOrder = intArray0;\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(1, 1);\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixCSV0.m_EnumerateRowNames = true;\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n \n resultMatrixCSV0.clearHeader();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.assign(resultMatrixCSV0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.setCountWidth(661);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string1 = resultMatrixGnuPlot0.toStringSummary();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n \n int int1 = resultMatrixGnuPlot0.getStdDevWidth();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int1);\n assertFalse(int1 == int0);\n \n String string2 = resultMatrixLatex0.trimString(\"\", 2);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"\", string2);\n assertFalse(string2.equals((Object)string1));\n assertFalse(string2.equals((Object)string0));\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setSize(2417, 1);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2417, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2417, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string3 = resultMatrixHTML0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2417, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2417, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string3);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-ranking data not set-\", string3);\n assertFalse(string3.equals((Object)string1));\n assertFalse(string3.equals((Object)string0));\n assertFalse(string3.equals((Object)string2));\n \n String string4 = resultMatrixCSV0.countWidthTipText();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(string4);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The width of the counts (0 = optimal).\", string4);\n assertFalse(string4.equals((Object)string2));\n assertFalse(string4.equals((Object)string0));\n assertFalse(string4.equals((Object)string1));\n assertFalse(string4.equals((Object)string3));\n \n String string5 = resultMatrixLatex0.globalInfo();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(string5);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", string5);\n assertFalse(string5.equals((Object)string0));\n assertFalse(string5.equals((Object)string4));\n assertFalse(string5.equals((Object)string2));\n assertFalse(string5.equals((Object)string1));\n assertFalse(string5.equals((Object)string3));\n \n String[][] stringArray0 = new String[6][8];\n String[] stringArray1 = new String[6];\n stringArray1[0] = \"$circ$\";\n stringArray1[1] = \"]\";\n stringArray1[2] = \" \";\n stringArray1[3] = \"]\";\n stringArray1[4] = \"v\";\n stringArray1[5] = \"The width of the counts (0 = optimal).\";\n stringArray0[0] = stringArray1;\n String[] stringArray2 = new String[9];\n assertFalse(stringArray2.equals((Object)stringArray1));\n \n stringArray2[0] = \"v\";\n stringArray2[1] = \"\";\n stringArray2[2] = \"[\";\n stringArray2[3] = \"-summary data not set-\";\n stringArray2[4] = \"Generates the matrix output in LaTeX-syntax.\";\n stringArray2[5] = \"(\";\n stringArray2[6] = \"(\";\n stringArray2[7] = \" \";\n stringArray2[8] = \" \";\n stringArray0[1] = stringArray2;\n String[] stringArray3 = new String[2];\n assertFalse(stringArray3.equals((Object)stringArray1));\n assertFalse(stringArray3.equals((Object)stringArray2));\n \n stringArray3[0] = \"[\";\n stringArray3[1] = \"[\";\n stringArray0[2] = stringArray3;\n String[] stringArray4 = new String[1];\n assertFalse(stringArray4.equals((Object)stringArray2));\n assertFalse(stringArray4.equals((Object)stringArray1));\n assertFalse(stringArray4.equals((Object)stringArray3));\n \n stringArray4[0] = \"\";\n stringArray0[3] = stringArray4;\n String[] stringArray5 = new String[6];\n assertFalse(stringArray5.equals((Object)stringArray2));\n assertFalse(stringArray5.equals((Object)stringArray1));\n assertFalse(stringArray5.equals((Object)stringArray4));\n assertFalse(stringArray5.equals((Object)stringArray3));\n \n stringArray5[0] = \"$circ$\";\n stringArray5[1] = \"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"(1)\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\";\n stringArray5[2] = \"\";\n stringArray5[3] = \" \";\n stringArray5[4] = \"$circ$\";\n stringArray5[5] = \" \";\n stringArray0[4] = stringArray5;\n String[] stringArray6 = new String[7];\n assertFalse(stringArray6.equals((Object)stringArray5));\n assertFalse(stringArray6.equals((Object)stringArray3));\n assertFalse(stringArray6.equals((Object)stringArray2));\n assertFalse(stringArray6.equals((Object)stringArray1));\n assertFalse(stringArray6.equals((Object)stringArray4));\n \n stringArray6[0] = \"]\";\n stringArray6[1] = \" \";\n stringArray6[2] = \"v\";\n stringArray6[3] = \"v\";\n stringArray6[4] = \" \";\n stringArray6[5] = \"$circ$\";\n stringArray6[6] = \"v\";\n stringArray0[5] = stringArray6;\n // Undeclared exception!\n try { \n resultMatrixLatex0.getColSize(stringArray0, 2, true, true);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 2\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "public void\nupdateStatelistScale(int updateScaleType) {\n\n\tfor (int istate=0; istate<=systemDesign_.numstatelist; istate++) {\n\n\t\tswitch (updateScaleType) {\n\n\t\t\tcase UPDATE_STATELIST_SCALE_PFAIL:\n\t\t\t\tsystemDesign_.statelist[istate].pfailurescale = systemDesign_.pfailurescale;\n\t\t\t\tbreak;\n\n\t\t\tcase UPDATE_STATELIST_SCALE_PFAIL_SURVIVE:\n\t\t\t\tsystemDesign_.statelist[istate].pfailuresurvivescale = systemDesign_.pfailuresurvivescale;\n\t\t\t\tbreak;\n\n\t\t\tcase UPDATE_STATELIST_SCALE_REMOTE_TRAFFIC:\n\t\t\t\tsystemDesign_.statelist[istate].remotetrafficscale = systemDesign_.remotetrafficscale;\n\t\t\t\tsystemDesign_.statelist[istate].pfailurescale = 0;\t// 22sept03\t\n\t\t\t\tbreak;\n\n\t\t\tcase UPDATE_STATELIST_SCALE_HAMMING:\n\t\t\t\tsystemDesign_.statelist[istate].hammingscale = systemDesign_.hammingscale;\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\tfloat objx = systemDesign_.statelist[istate].fixedcost * systemDesign_.statelist[istate].fixedcostscale;\n\t\tobjx += systemDesign_.statelist[istate].monthlycost * systemDesign_.statelist[istate].monthlycostscale;\n\t\tobjx += (1 - systemDesign_.statelist[istate].psuccess) * systemDesign_.statelist[istate].pfailurescale;\n\t\tobjx += systemDesign_.statelist[istate].responsetime * systemDesign_.statelist[istate].responsetimescale;\n\t\tobjx += systemDesign_.statelist[istate].remotetraffic * systemDesign_.statelist[istate].remotetrafficscale; // 'messaging mods\n\t\tobjx += systemDesign_.statelist[istate].pfailuresurvive * systemDesign_.statelist[istate].pfailuresurvivescale; // 'marc EN 1.1 smoothing\n\t\tobjx += systemDesign_.statelist[istate].hamming * systemDesign_.statelist[istate].hammingscale; // 'marc EN 1.1 hamming\n\t\tsystemDesign_.statelist[istate].e = objx;\n\t\t} // Next istate\n\n\t}", "@Test(timeout = 4000)\n public void test115() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setPrintColNames(false);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test\n\tpublic void testGetSubtitlesTimeS2() {\n\t\ttry {\n\t\t\tSubtitleSeq seq = SubtitleSeqFactory.getSubtitleSeq();\n\t\t\tseq.addSubtitle(new SubtitleSt(new TimeSt(\"00\", \"00\", \"35\", \"536\"), new TimeSt(\"00\", \"00\", \"37\", \"746\"), \"[whistling]\"));\n\n\t\t\tassertNull(\"Method getSubtitle(Time) not working correctly\", seq.getSubtitle(new TimeSt(\"00\", \"00\", \"30\", \"536\")));\n\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "@Test(timeout = 4000)\n public void test057() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray0[1] = intArray2;\n int[] intArray3 = new int[0];\n assertFalse(intArray3.equals((Object)intArray1));\n assertFalse(intArray3.equals((Object)intArray2));\n \n intArray0[2] = intArray3;\n int[] intArray4 = new int[6];\n assertFalse(intArray4.equals((Object)intArray1));\n assertFalse(intArray4.equals((Object)intArray3));\n assertFalse(intArray4.equals((Object)intArray2));\n \n intArray4[1] = 0;\n intArray4[2] = 2;\n intArray4[3] = 0;\n intArray4[4] = 2;\n intArray4[5] = 0;\n intArray0[3] = intArray4;\n int[] intArray5 = new int[0];\n assertFalse(intArray5.equals((Object)intArray1));\n assertFalse(intArray5.equals((Object)intArray3));\n assertFalse(intArray5.equals((Object)intArray4));\n assertFalse(intArray5.equals((Object)intArray2));\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray6 = new int[0][5];\n assertFalse(intArray6.equals((Object)intArray0));\n \n // Undeclared exception!\n try { \n resultMatrixLatex0.setSummary(intArray6, intArray0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void computeFactor_WinterTimeMonth() {\n long startTimeUsage = DateTimeHandling\n .calculateMillis(\"2012-09-03 00:00:00\");\n long endTimeUsage = DateTimeHandling\n .calculateMillis(\"2012-11-08 23:59:59\");\n BillingInput billingInput = BillingInputFactory.newBillingInput(\n \"2012-09-01 00:00:00\", \"2012-12-01 00:00:00\");\n\n // when\n double factor = calculator.computeFactor(PricingPeriod.MONTH,\n billingInput, startTimeUsage, endTimeUsage, true, true);\n\n // then\n assertEquals(3, factor, 0);\n }", "@Test(timeout = 4000)\n public void test029() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 1);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.setRowNameWidth((-1789));\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixGnuPlot0);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(50, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixHTML0.setRowNameWidth(0);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixHTML0.setRowNameWidth(353);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(353, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean0 = resultMatrixHTML0.getShowAverage();\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(353, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int int0 = 3;\n boolean boolean1 = resultMatrixPlainText0.isSignificance(3);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertTrue(boolean1);\n assertFalse(boolean1 == boolean0);\n \n int int1 = resultMatrixHTML0.getColCount();\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(353, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, int1);\n assertFalse(int1 == int0);\n \n int[] intArray2 = resultMatrixHTML0.getRowOrder();\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(353, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertNull(intArray2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int int2 = 4741;\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(116, 4741);\n }", "void makeAnalysis(double v_min, double v_max) {\n\t\t\tfmt_result = universalFormat;\n\t\t\tdouble range = v_max - v_min;\n\t\t\tscale = 0.;\n\t\t\tif (range > 0.) {\n\t\t\t\tscale = Math.pow(10., Math.floor(1.000001 * Math.log(range) / Math.log(10.0)));\n\t\t\t}\n\t\t\tif (scale == 0.) {\n\t\t\t\tscale = 1.;\n\t\t\t\tvalue_min = -1.0;\n\t\t\t\tvalue_max = +1.0;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tvalue_min = scale * Math.floor(v_min / scale);\n\t\t\tvalue_max = scale * Math.ceil(v_max / scale);\n\t\t\tif (value_min * value_max == 0. && (scale == Math.abs(value_max) \|\| scale == Math.abs(value_min))) {\n\t\t\t\tscale = scale / 5.0;\n\t\t\t\tvalue_min = scale * Math.floor(v_min / scale);\n\t\t\t\tvalue_max = scale * Math.ceil(v_max / scale);\n\t\t\t}\n\n\t\t\tdouble[] arr = new double[3];\n\t\t\tarr[0] = scale;\n\t\t\tarr[1] = value_min;\n\t\t\tarr[2] = value_max;\n\n\t\t\tdouble zz_max = Math.max(Math.abs(arr[1]), Math.abs(arr[2]));\n\t\t\tint nV = (int) (Math.floor(1.0001 * Math.log(zz_max) / Math.log(10.0)));\n\t\t\tif (nV >= 0) {\n\t\t\t\tnV += 1;\n\t\t\t} else {\n\t\t\t\tnV -= 1;\n\t\t\t}\n\n\t\t\tzz_max = zz_max / Math.abs(arr[0]);\n\t\t\tint nD = (int) (Math.floor(1.0001 * Math.log(zz_max) / Math.log(10.0)));\n\t\t\tif (nD >= 0) {\n\t\t\t\tnD += 1;\n\t\t\t}\n\n\t\t\t//This is for zoom, so we want to increase number of significant digits\n\t\t\tnD = nD + 1;\n\n\t\t\tif (nV >= 4) {\n\t\t\t\tint n = Math.min(4, Math.abs(nD));\n\t\t\t\tfmt_result = scientificFormats[n];\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tif (nV > 0 && nV < 4) {\n\t\t\t\tif (nV >= nD) {\n\t\t\t\t\tfmt_result = simpleFormats[0];\n\t\t\t\t\treturn;\n\t\t\t\t} else {\n\t\t\t\t\tint n = Math.min(4, Math.abs(nV - nD));\n\t\t\t\t\tfmt_result = simpleFormats[n];\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (nV < 0 && nV > -4) {\n\t\t\t\tint n = Math.abs(nV) + Math.abs(nD) - 2;\n\t\t\t\tif (n <= 4) {\n\t\t\t\t\tfmt_result = simpleFormats[n];\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}", "@Test\n public void computeFactor_SummerTimeMonth() {\n long startTimeUsage = DateTimeHandling\n .calculateMillis(\"2012-01-13 00:00:00\");\n long endTimeUsage = DateTimeHandling\n .calculateMillis(\"2012-04-25 23:59:59\");\n BillingInput billingInput = BillingInputFactory.newBillingInput(\n \"2012-01-01 00:00:00\", \"2012-05-01 00:00:00\");\n\n // when\n double factor = calculator.computeFactor(PricingPeriod.MONTH,\n billingInput, startTimeUsage, endTimeUsage, true, true);\n\n // then\n assertEquals(4, factor, 0);\n }", "@Test\n\tpublic void testStructureSimilarity1() {\n\t\tList<TimeSeriesSimilarityCollection> res;\n\t\tTimeSeriesSimilarityCollection r;\n\n\t\t// we are interested in measure now\n\t\tevaluator.setSimilarity(false, false, true);\n\n\t\t// add some data\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (3)\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (7)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (13)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (17)\n\t\t// @formatter:on\n\t\tloadData(\"Philipp\", 3, \"01.01.2015 00:00:00\", \"01.01.2015 01:00:00\");\n\t\tloadData(\"Philipp\", 7, \"01.01.2015 00:00:00\", \"01.01.2015 01:00:00\");\n\t\tloadData(\"Tobias\", 13, \"31.12.2015 00:00:00\", \"31.12.2015 01:00:00\");\n\t\tloadData(\"Tobias\", 17, \"31.12.2015 00:00:00\", \"31.12.2015 01:00:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS ON TIME.DEF.HOUR\", null), 1);\n\n\t\tassertEquals(1, res.size());\n\t\tr = res.get(0);\n\t\tassertEquals(0.0, r.getStructureDistance(), 0.0);\n\t\tassertEquals(0.0, r.getTotalDistance(), 0.0);\n\t\t// 1451520000000l == 31 Dec 2015 00:00:00 UTC\n\t\tassertEquals(1451520000000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\t// add some data\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (3)\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (7)\n\t\t// 01.01.15: (00:00) ++++++++++++ (02:00) Philipp (10)\n\t\t// 01.01.15: (00:00) + (00:10) Philipp (10)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (13)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (17)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (1)\n\t\t// 31.12.15: (01:01) ++++++ (02:00) Tobias (2)\n\t\t// 31.12.15: (00:00) + (00:10) Philipp (10)\n\t\t// @formatter:on\n\t\tloadData(\"Philipp\", 10, \"01.01.2015 00:00:00\", \"01.01.2015 02:00:00\");\n\t\tloadData(\"Philipp\", 10, \"01.01.2015 00:00:00\", \"01.01.2015 00:10:00\");\n\t\tloadData(\"Tobias\", 1, \"31.12.2015 00:00:00\", \"31.12.2015 02:00:00\");\n\t\tloadData(\"Tobias\", 2, \"31.12.2015 01:01:00\", \"31.12.2015 02:00:00\");\n\t\tloadData(\"Philipp\", 10, \"31.12.2015 00:00:00\", \"31.12.2015 00:10:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"MAX(SUM(IDEAS)) AS IDEAS ON TIME.DEF.HOUR\", null), 1);\n\n\t\t// assertEquals(1, res.size());\n\t\tr = res.get(0);\n\t\tassertEquals(3.2, r.getStructureDistance(), 0.0);\n\t\tassertEquals(3.2, r.getTotalDistance(), 0.0);\n\t\t// 1451520000000l == 31 Dec 2015 00:00:00 UTC\n\t\tassertEquals(1451520000000l, ((Date) r.getLabelValue(0)).getTime());\n\t}", "protected void updateScales() {\n hscale = 1f;\n vscale = 1f;\n viewData.setHscale(hscale);\n viewData.setVscale(vscale);\n }", "@Test(timeout = 4000)\n public void test121() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.setSignificanceWidth(0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test001() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixLatex0.padString((String) null, (-857));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "native void nativeSetMetricsTime(boolean is_enable);", "@Test(timeout = 4000)\n public void test036() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[][] intArray0 = new int[0][1];\n // Undeclared exception!\n try { \n resultMatrixLatex0.setSummary((int[][]) null, (int[][]) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n public void testTimeToPayOff() {\n assertEquals(expectedResults.getMonthsToPayOff(), results.getMonthsToPayOff());\n }", "@Test(timeout = 4000)\n public void test167() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.showStdDevTipText();\n resultMatrixLatex0.getRevision();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n resultMatrixGnuPlot0.RIGHT_PARENTHESES = \")\";\n resultMatrixGnuPlot0.getDefaultRowNameWidth();\n int[] intArray0 = new int[7];\n intArray0[0] = 2;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 1;\n intArray0[4] = 0;\n intArray0[5] = 1;\n intArray0[6] = 2;\n resultMatrixLatex0.m_ColOrder = intArray0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n int[] intArray1 = new int[6];\n intArray1[0] = 0;\n intArray1[1] = 50;\n intArray1[2] = 50;\n intArray1[3] = 50;\n intArray1[4] = 2;\n intArray1[5] = 0;\n resultMatrixSignificance0.m_RankingLosses = intArray1;\n resultMatrixSignificance0.getDisplayName();\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n \n String string0 = resultMatrixLatex0.getSummaryTitle(0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"a\", string0);\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n }", "@Test\n\tpublic void testStructureSimilarity2() {\n\t\tList<TimeSeriesSimilarityCollection> res;\n\t\tTimeSeriesSimilarityCollection r;\n\n\t\t// we are interested in measure now\n\t\tevaluator.setSimilarity(false, false, true);\n\n\t\t// add some data\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (3)\n\t\t// 01.01.15: (01:01) +++ (01:30) Philipp (7)\n\t\t// 01.01.15: (01:20) ++++ (02:00) Philipp (7)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (13)\n\t\t// 31.12.15: (01:01) +++ (01:30) Tobias (17)\n\t\t// 31.12.15: (01:10) +++++ (02:00) Tobias (17)\n\t\t// @formatter:on\n\t\tloadData(\"Philipp\", 3, \"01.01.2015 00:00:00\", \"01.01.2015 01:00:00\");\n\t\tloadData(\"Philipp\", 7, \"01.01.2015 01:01:00\", \"01.01.2015 01:30:00\");\n\t\tloadData(\"Philipp\", 7, \"01.01.2015 01:20:00\", \"01.01.2015 02:00:00\");\n\t\tloadData(\"Tobias\", 13, \"31.12.2015 00:00:00\", \"31.12.2015 01:00:00\");\n\t\tloadData(\"Tobias\", 17, \"31.12.2015 01:01:00\", \"31.12.2015 01:30:00\");\n\t\tloadData(\"Tobias\", 17, \"31.12.2015 01:10:00\", \"31.12.2015 02:00:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS ON TIME.DEF.HOUR\", null), 1);\n\n\t\tassertEquals(1, res.size());\n\t\tr = res.get(0);\n\t\tassertEquals(0.0, r.getStructureDistance(), 0.0);\n\t\tassertEquals(0.0, r.getTotalDistance(), 0.0);\n\t\t// 1451520000000l == 31 Dec 2015 00:00:00 UTC\n\t\tassertEquals(1451520000000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\t// add some data\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (3)\n\t\t// 01.01.15: (01:01) +++ (01:30) Philipp (7)\n\t\t// 01.01.15: (01:20) ++++ (02:00) Philipp (7)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (13)\n\t\t// 31.12.15: (01:01) +++ (01:30) Tobias (17)\n\t\t// 31.12.15: (01:10) +++++ (02:00) Tobias (17)\n\t\t// 31.12.15: (01:30) +++ (02:00) Tobias (17)\n\t\t// @formatter:on\n\t\tloadData(\"Tobias\", 17, \"31.12.2015 01:30:00\", \"31.12.2015 02:00:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS ON TIME.DEF.HOUR\", null), 364);\n\n\t\tassertEquals(364, res.size());\n\t\tfor (int i = 0; i < 363; i++) {\n\t\t\tr = res.get(i);\n\t\t\tassertEquals(3.0, r.getStructureDistance(), 0.0);\n\t\t\tassertEquals(3.0, r.getTotalDistance(), 0.0);\n\t\t}\n\t\tr = res.get(363);\n\t\tassertEquals(3.5, r.getStructureDistance(), 0.0);\n\t\tassertEquals(3.5, r.getTotalDistance(), 0.0);\n\t\t// 1451520000000l == 31 Dec 2015 00:00:00 UTC\n\t\tassertEquals(1451520000000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\tfor (TimeSeriesSimilarityCollection a : res) {\n\t\t\tSystem.out.println((Date) a.getLabelValue(0));\n\t\t\tSystem.out.println(a);\n\t\t}\n\t}", "int getWrongScale();", "@Test\n public void test42() throws Throwable {\n CategoryPlot categoryPlot0 = new CategoryPlot();\n categoryPlot0.mapDatasetToDomainAxis(3699, 2);\n }", "@Test\n public void DataSmoothTest52() {\n\t LinkedList<Double> runtimes5 = D2.dataSmooth(shows5);\n\t \n\t for(int i = 0; i < runtimes5.size(); i++) {\n\t\t assertEquals(runtimes5.get(i), showResults5.get(i), 0.01);\n\t }\n}", "@Test(timeout = 4000)\n public void test072() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[][] intArray0 = new int[7][8];\n String[] stringArray0 = new String[3];\n stringArray0[0] = \"*\";\n stringArray0[1] = \" \";\n stringArray0[2] = \" \";\n resultMatrixGnuPlot0.m_RowNames = stringArray0;\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(3, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n \n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray0[1] = intArray2;\n int[] intArray3 = new int[0];\n assertFalse(intArray3.equals((Object)intArray1));\n assertFalse(intArray3.equals((Object)intArray2));\n \n intArray0[2] = intArray3;\n int[] intArray4 = new int[6];\n assertFalse(intArray4.equals((Object)intArray3));\n assertFalse(intArray4.equals((Object)intArray1));\n assertFalse(intArray4.equals((Object)intArray2));\n \n intArray4[1] = 0;\n intArray4[2] = 2;\n intArray4[3] = 0;\n intArray4[4] = 2;\n intArray4[5] = 0;\n intArray0[3] = intArray4;\n int[] intArray5 = new int[0];\n assertFalse(intArray5.equals((Object)intArray2));\n assertFalse(intArray5.equals((Object)intArray3));\n assertFalse(intArray5.equals((Object)intArray1));\n assertFalse(intArray5.equals((Object)intArray4));\n \n intArray0[4] = intArray5;\n int[] intArray6 = new int[3];\n assertFalse(intArray6.equals((Object)intArray1));\n assertFalse(intArray6.equals((Object)intArray5));\n assertFalse(intArray6.equals((Object)intArray4));\n assertFalse(intArray6.equals((Object)intArray3));\n assertFalse(intArray6.equals((Object)intArray2));\n \n intArray6[1] = 1;\n intArray6[2] = 2;\n intArray0[5] = intArray6;\n int[] intArray7 = new int[2];\n assertFalse(intArray7.equals((Object)intArray1));\n assertFalse(intArray7.equals((Object)intArray4));\n assertFalse(intArray7.equals((Object)intArray3));\n assertFalse(intArray7.equals((Object)intArray2));\n assertFalse(intArray7.equals((Object)intArray5));\n assertFalse(intArray7.equals((Object)intArray6));\n \n intArray7[0] = 1;\n String string0 = resultMatrixGnuPlot0.printColNamesTipText();\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(3, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Whether to output column names or just numbers representing them.\", string0);\n \n intArray7[1] = 2;\n intArray0[6] = intArray7;\n resultMatrixGnuPlot0.setRanking(intArray0);\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(3, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(7, intArray0.length);\n \n // Undeclared exception!\n resultMatrixGnuPlot0.setSize(1922, 1922);\n }" ]	[ "0.79191047", "0.5704539", "0.5666854", "0.5551703", "0.5431126", "0.5393781", "0.53575176", "0.53233826", "0.53000605", "0.5294793", "0.5254387", "0.522282", "0.5178208", "0.5167666", "0.50909215", "0.5059016", "0.50518984", "0.50336117", "0.50301945", "0.50272524", "0.5019377", "0.50163144", "0.50135386", "0.5001539", "0.499473", "0.49602413", "0.4958363", "0.4957471", "0.49559447", "0.49533722", "0.49513057", "0.49432245", "0.49416792", "0.4936851", "0.49329987", "0.49304745", "0.4922742", "0.49079785", "0.49052328", "0.48994136", "0.48766726", "0.4874389", "0.48327717", "0.48244205", "0.48154435", "0.4811467", "0.4811133", "0.47947943", "0.47915635", "0.4782493", "0.47732595", "0.4769423", "0.4762118", "0.4760943", "0.4758867", "0.47480398", "0.47426605", "0.47363082", "0.4732926", "0.47267464", "0.4717234", "0.47118858", "0.47067666", "0.4701931", "0.46994016", "0.46993053", "0.46987078", "0.46954477", "0.46940157", "0.46937975", "0.46933043", "0.46928513", "0.4692439", "0.46916124", "0.46913302", "0.46831223", "0.46808246", "0.4680497", "0.46733278", "0.46732497", "0.46700504", "0.46700072", "0.466937", "0.46681854", "0.4664223", "0.46579337", "0.46575284", "0.46568295", "0.46479404", "0.46464086", "0.46453977", "0.46421006", "0.4641586", "0.46361583", "0.46311152", "0.4620381", "0.46102107", "0.46064085", "0.46058118", "0.4605683" ]	0.6770811	1
Test of timescales method, of class MarkovModelUtilities.	@Test public void testTimescales_5args() { Iterable<IIntArray> dtraj = null; ICountMatrixEstimator Cest = null; ITransitionMatrixEstimator Test = null; int ntimescales = 0; IIntArray lagtimes = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.timescales(dtraj, Cest, Test, ntimescales, lagtimes); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testTimescales_IDoubleArray_double()\n {\n IDoubleArray T = null;\n double tau = 0.0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.timescales(T, tau);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n @MediumTest\n public void multiFrameScaleSmokeTest() throws Exception {\n scaleSmokeTest(true);\n }", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public boolean testTilingscale(EIfcfillareastyletiles type) throws SdaiException;", "@Test\n public void scale() {\n assertEquals(\"Wrong vector scale\", new Vector(1,1,1).scale(2), new Vector(2,2,2));\n }", "public void setTimeScaleTickProvider(TickProvider timeScaleTickProvider) {\n \n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n @MediumTest\n public void singleFrameScaleSmokeTest() throws Exception {\n scaleSmokeTest(false);\n }", "public void setScale(int indexInST, float time, Vector3f scale) {\n PointInTime toAdd=findTime(time);\n toAdd.setScale(indexInST,scale);\n }", "protected void runTest() throws OgnlException\n {\n Object result;\n\n result = OgnlOps.convertValue(value, toClass);\n if (!isEqual(result, expectedValue)) {\n if (scale >= 0) {\n double scalingFactor = Math.pow(10, scale),\n v1 = ((Number) value).doubleValue() * scalingFactor,\n v2 = ((Number) expectedValue).doubleValue() * scalingFactor;\n\n assertTrue((int) v1 == (int) v2);\n } else {\n fail();\n }\n }\n }", "@Override\r\n\t@Test(groups = {\"function\",\"setting\"} ) \r\n\tpublic boolean checkImageScale() {\n\t\tboolean flag = oTest.checkImageScale();\r\n\t\tAssertion.verifyEquals(flag, true);\r\n\t\treturn flag;\r\n\t}", "@Test\n public void firstRatingAfterTpStartANDChunkEndBeforeTpEndTest() {\n LocalDateTime firstTime = LocalDateTime.of(2017, Month.JANUARY, 1, 0, 0);\n\n //start with creating tp (proportional)\n // \|-----\|\n TimePeriod tp = new TimePeriod(firstTime, firstTime.plusHours(6));\n\n /*match tp with ratings so we have (proportional scale)\n ratings \|-o--\|\|\n * tp: \|-----\|\n \n /\n ScoreTime rStart = new ScoreTime(firstTime.plusHours(2), 4);\n LocalDateTime chunkEnd = firstTime.plusHours(5); //=> 1 hour before tp.end\n\n //this is the method we are testing\n double[] avgscoreAndWeight = RatingTime.calcAvgAndWeight(tp, Arrays.asList(rStart),\n chunkEnd);\n assertEquals(4.0, avgscoreAndWeight[0]);\n\n /* weight should equal durationOfRatingsInScopeOfTp/tp.duration\n ratingsInScopeOfTp = 3 hours\n tp.duration = 6 hours.\n weight should be 3/6 = 1/2 = 0.5...\n /\n\n assertEquals(0.5, avgscoreAndWeight[1]);\n }", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testStationaryDistribution()\n {\n try\n {\n IDoubleArray T = Doubles.create.fromFile(inputT1);\n IDoubleArray expResult = Doubles.create.fromFile(inputT1_pi); \n IDoubleArray pi = MarkovModel.util.stationaryDistribution(T);\n assertEqual(pi, expResult, 1e-5);\n }\n catch(IOException e)\n {\n \n e.printStackTrace();\n }\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "@Test\n @Override\n public void testTime(TestContext ctx) {\n testDecodeGeneric(ctx, \"test_time\", Duration.class, Duration.ofHours(18).plusMinutes(45).plusSeconds(2));\n }", "@Test\n public void scale() {\n float[] a1 = new float[] {1.001f, 2.002f, 3.003f, 4.004f, 5.00f, 6.00f};\n float[] a2 = new float[] {3.003f, 4.004f, 5.00f, 6.00f};\n float[] expect = new float[] {9.009f, 12.012f, 15.00f, 18.00f};\n Vec4f.scale(3.0f, a1, 2);\n assertTrue(Vec4f.epsilonEquals(a1, 2, expect, 0, 1E-6f));\n Vec4f.scale(3.0f, a2);\n assertTrue(Vec4f.epsilonEquals(a2, expect, 1E-6f));\n }", "public boolean isMeasureTime() ;", "@Test\n public void firstRatingsIsLate() {\n LocalDateTime firstTime = LocalDateTime.of(2017, Month.JANUARY, 1, 0, 0);\n\n //start with creating tp (proportional)\n // \|------\|\n TimePeriod tp = new TimePeriod(firstTime.plusHours(0), firstTime.plusHours(7));\n\n\n /match tp with ratings and chunkEnd so we have (proportional scale)\n ratings \|--o----\|\|\n * tp: \|-------\|\n \n /\n ScoreTime rStart = new ScoreTime(firstTime.plusHours(2), 3);\n LocalDateTime chunkEnd = firstTime.plusHours(7); //=> same as tp.end\n\n //this is the method we are testing\n double[] avgscoreAndWeight = RatingTime.calcAvgAndWeight(tp, Arrays.asList(rStart),\n chunkEnd);\n assertEquals(3.0, avgscoreAndWeight[0]);\n\n /* weight should equal durationOfRatingsInScopeOfTp/tp.duration\n timeOfRatingsInScopeOfTp = 5 hours\n tp.duration = 7 hours.\n weight should be 5/7\n /\n\n assertEquals(5. / 7., avgscoreAndWeight[1], 0.01);\n }", "@Test\n public void tpExtendsChunkEndTest() {\n LocalDateTime firstTime = LocalDateTime.of(2017, Month.JANUARY, 1, 0, 0);\n\n //start with creating tp (proportional)\n // \|------\|\n TimePeriod tp = new TimePeriod(firstTime, firstTime.plusHours(6));\n\n\n /match tp with ratings and chunkEnd so we have (proportional scale)\n ratings \|o----\|\|\n * tp: \|------\|\n \n /\n ScoreTime rStart = new ScoreTime(firstTime, 4);\n LocalDateTime chunkEnd = firstTime.plusHours(5); //=> 1 hour before tp.end\n\n //this is the method we are testing\n double[] avgscoreAndWeight = RatingTime.calcAvgAndWeight(tp, Arrays.asList(rStart),\n chunkEnd);\n assertEquals(4.0, avgscoreAndWeight[0]);\n\n /* weight should equal durationOfRatingsInScopeOfTp/tp.duration\n ratingsInScopeOfTp = 5 hours\n tp.duration = 6 hours.\n weight should be 5/6\n /\n\n assertEquals(5. / 6., avgscoreAndWeight[1], 0.01);\n }", "@Test(expected = IllegalArgumentException.class)\n public void testScaleOvalDuringSamePeriod() {\n modelWithRectAndOval.addAction(ScaleOvalAction.createScaleOvalAction(\"C\", 10,\n 50, 100, 100, 10, 10));\n modelWithRectAndOval.addAction(ScaleOvalAction.createScaleOvalAction(\"C\", 40,\n 60, 100, 100, 10, 10));\n }", "@Test(expected = IllegalArgumentException.class)\n public void testScaleRectangleDuringSamePeriod() {\n model1.addShape(Rectangle.createRectangle(\"C\", new Point.Double(500, 100),\n new Color(0, 0, 1), 6, 100, 60.0, 30.0));\n model1.addAction(ScaleRectangleAction.createScaleRectangleAction(\"R\", 10, 50,\n 100, 100, 100, 100));\n model1.addAction(ScaleRectangleAction.createScaleRectangleAction(\"R\", 40, 60,\n 100, 100, 10, 10));\n }", "public void increaseTimescale() {\n\t\ttimeScaler = timeScaler>=5 ? 5 : timeScaler + TIMESCLALER_FACTOR;\n\t}", "public void decreaseTimescale() {\n\t\ttimeScaler = timeScaler<=1 ? 1 : timeScaler - TIMESCLALER_FACTOR;\n\t}", "private void fillScale(int objectIndex, int startScaleIndex, int endScaleIndex) {\n ((PointInTime)keyframes.get(startScaleIndex)).look[objectIndex].getScale(unSyncbeginPos);\n ((PointInTime)keyframes.get(endScaleIndex)).look[objectIndex].getScale(unSyncendPos);\n float startTime=((PointInTime)keyframes.get(startScaleIndex)).time;\n float endTime=((PointInTime)keyframes.get(endScaleIndex)).time;\n float delta=endTime-startTime;\n Vector3f tempVec=new Vector3f();\n \n for (int i=startScaleIndex+1;i<endScaleIndex;i++){\n float thisTime=((PointInTime)keyframes.get(i)).time;\n tempVec.interpolate(unSyncbeginPos,unSyncendPos,(thisTime-startTime)/delta);\n ((PointInTime)keyframes.get(i)).look[objectIndex].setScale(tempVec);\n }\n }", "@Test\n\tpublic void convertToTimeTest(){\n\t\tDjikstrasMap m = new DjikstrasMap();\t//Creates new DjikstrasMap object\n\t\tdouble time = 1.85;\t\t\n\t\tassertEquals(\"2 hour and .51 minutes\", m.convertToTime(time));\t//Checks that the convertToTime method formats the time correctly\n\t}", "public interface Scalable {\n public void scale(TimeTick base, double ratio);\n}", "private void test() {\n\t\tlong startTime = System.currentTimeMillis();\n\t\tBpmnModelInstance modelInstance = Bpmn.readModelFromFile(loadedFile);\n\t\tJsonEncoder jsonEncoder = new JsonEncoder(loadedFile.getName());\n\t\tBpmnBasicMetricsExtractor basicExtractor = new BpmnBasicMetricsExtractor(modelInstance, jsonEncoder);\n\t\tBpmnAdvancedMetricsExtractor advExtractor = new BpmnAdvancedMetricsExtractor(basicExtractor, jsonEncoder);\n\t\tlong loadTime = System.currentTimeMillis() - startTime;\n//\t\tSystem.out.println(\"Tempo load del file: \" + loadTime + \"ms\");\n\t\tbasicExtractor.runMetrics();\n\t\tlong basicTime = System.currentTimeMillis() - loadTime - startTime;\n//\t\tSystem.out.println(\"Tempo calcolo metriche di base: \" + basicTime + \"ms\");\n\t\tadvExtractor.runMetrics();\n\t\tlong advTime = System.currentTimeMillis() - basicTime - startTime - loadTime;\n//\t\tSystem.out.println(\"Tempo calcolo metriche avanzate: \" + advTime + \"ms\");\n\t\tjsonEncoder.exportJson();\n\t\tMySqlInterface db = new MySqlInterface();\n\t\tdb.connect();\n//\t\tdb.createTables(jsonEncoder);\n//\t\tdb.createAndInsertMetricsInfosTable();\n//\t\tdb.saveMetrics(jsonEncoder);\n//\t\tdb.closeConnection();\n\t}", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testGetSetTemperaturaExteriorMaxima() {\n System.out.println(\"getSetTemperaturaExteriorMaxima\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMaxima(expResult);\n double result = instance.getTemperaturaExteriorMaxima();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n\tpublic void testMakeMeterSectionTimes() {\n\t\tScorePiece sp = new ScorePiece(MIDIImport.importMidiFile(midiTestGetMeterKeyInfo));\n\t\tScoreMetricalTimeLine smtl = new ScoreMetricalTimeLine(sp.getMetricalTimeLine());\n\n\t\tList<Long> expected = Arrays.asList(new Long[]{\n\t\t\t(long) 0, \n\t\t\t(long) 1800000, \n\t\t\t(long) 11400000, \n\t\t\t(long) 25800000, \n\t\t\t(long) 30600000, \n\t\t\t(long) 31350000\n\t\t});\n\n\t\tList<Long> actual = smtl.makeMeterSectionTimes();\n\n\t\tassertEquals(expected.size(), actual.size());\n\t\tfor (int i = 0; i < expected.size(); i++) {\n\t\t\tassertEquals(expected.get(i), actual.get(i));\t\t\n\t\t}\n\t\tassertEquals(expected, actual);\n\t}", "@Test\n public void projectMetrics() {\n assertProjectMetrics(340, 161, 179, 78054, 28422, 49632);\n }", "public void test800324() {\n TaskSeries s1 = new TaskSeries(\"S1\");\n s1.add(new Task(\"Task 1\", new SimpleTimePeriod(new Date(), new Date())));\n s1.add(new Task(\"Task 2\", new SimpleTimePeriod(new Date(), new Date())));\n s1.add(new Task(\"Task 3\", new SimpleTimePeriod(new Date(), new Date())));\n TaskSeriesCollection tsc = new TaskSeriesCollection();\n tsc.add(s1);\n try {\n tsc.getStartValue(0, 3);\n assertTrue(false);\n } catch (IndexOutOfBoundsException e) {\n }\n try {\n tsc.getEndValue(0, 3);\n assertTrue(false);\n } catch (IndexOutOfBoundsException e) {\n }\n try {\n tsc.getSubIntervalCount(0, 3);\n assertTrue(false);\n } catch (IndexOutOfBoundsException e) {\n }\n }", "@Test\n public void testGetSetTemperaturaExteriorMinima() {\n System.out.println(\"getSetTemperaturaExteriorMinima\");\n double expResult = 10.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMinima(expResult);\n double result = instance.getTemperaturaExteriorMinima();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void testHasTemperaturaVariation() {\n System.out.println(\"hasTemperaturaVariation\");\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n boolean expResult = true;\n instance.setHasTemperaturaVariation(expResult);\n boolean result = instance.hasTemperaturaVariation();\n assertEquals(expResult, result);\n }", "@Test\n\tpublic void testMeasureSimilarity() {\n\t\tList<TimeSeriesSimilarityCollection> res;\n\t\tTimeSeriesSimilarityCollection r;\n\n\t\t// we are interested in measure now\n\t\tevaluator.setSimilarity(true, false, false);\n\n\t\t// add some data\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++++++++ (02:00) Philipp (5)\n\t\t// 31.12.15: (00:00) ++++++++++++ (02:00) Tobias (5)\n\t\t// @formatter:on\n\t\tloadData(\"Philipp\", 5, \"01.01.2015 00:00:00\", \"01.01.2015 02:00:00\");\n\t\tloadData(\"Tobias\", 5, \"31.12.2015 00:00:00\", \"31.12.2015 02:00:00\");\n\n\t\t// get the similar once on a global measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS\", null), 1);\n\n\t\tassertEquals(1, res.size());\n\t\tr = res.get(0);\n\t\tassertEquals(0.0, r.getMeasureDistance(), 0.0);\n\t\tassertEquals(0.0, r.getTotalDistance(), 0.0);\n\t\t// 1451520000000l == 31 Dec 2015 00:00:00 UTC\n\t\tassertEquals(1451520000000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\t// add another data package\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++++++++ (02:00) Philipp (5)\n\t\t// 30.11.15: (00:10) +++++ (01:00) Philipp (5)\n\t\t// 31.12.15: (00:00) ++++++++++++ (02:00) Tobias (5)\n\t\t// @formatter:on\n\t\tloadData(\"Philipp\", 5, \"30.11.2015 00:10:00\", \"30.11.2015 01:00:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS\", \"NAME='Philipp'\"), 1);\n\t\tr = res.get(0);\n\t\t// 70 minutes (00:00 - 00:09 and 01:01 - 02:00), each 5 => 350\n\t\tassertEquals(350.0, r.getMeasureDistance(), 0.0);\n\t\tassertEquals(350.0, r.getTotalDistance(), 0.0);\n\t\t// 1448841600000l == 30 Nov 2015 00:00:00 UTC\n\t\tassertEquals(1448841600000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\t// add another data package\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++++++++ (02:00) Philipp (5)\n\t\t// (00:10) ++++ (00:50) Edison (5)\n\t\t// 30.11.15: (00:00) +++++ (00:50) Edison (5) \n\t\t// (00:10) +++++ (01:00) Philipp (5)\n\t\t// (01:00) ++++++ (02:00) Philipp (5)\n\t\t// 31.12.15: (00:00) ++++++++++++ (02:00) Tobias (5)\n\t\t// @formatter:on\n\t\tloadData(\"Edison\", 5, \"30.11.2015 00:00:00\", \"30.11.2015 00:50:00\");\n\t\tloadData(\"Philipp\", 5, \"30.11.2015 01:00:00\", \"30.11.2015 02:00:00\");\n\t\tloadData(\"Edison\", 5, \"01.01.2015 00:10:00\", \"01.01.2015 00:50:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS\", null), 1);\n\t\tr = res.get(0);\n\t\t// 1 minute (01:00:00), each 5 as value => 5\n\t\tassertEquals(5.0, r.getMeasureDistance(), 0.0);\n\t\tassertEquals(5.0, r.getTotalDistance(), 0.0);\n\t\t// 1448841600000l == 30 Nov 2015 00:00:00 UTC\n\t\tassertEquals(1448841600000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\t// fire one with dimensions\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++++++++ (02:00) Philipp (5)\n\t\t// (00:10) ++++ (00:50) Edison (5)\n\t\t// 30.11.15: (00:00) +++++ (00:50) Edison (5) \n\t\t// (00:10) +++++ (01:00) Philipp (5)\n\t\t// (01:00) ++++++ (02:00) Philipp (5)\n\t\t// 31.12.15: (00:00) ++++++++++++ (02:00) Tobias (5)\n\t\t// @formatter:on\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"MAX(SUM(IDEAS)) AS IDEAS ON TIME.DEF.HOUR\", null), 1);\n\n\t\tassertEquals(1, res.size());\n\t\tr = res.get(0);\n\t\t// 1 minute (01:00:00), each 5 for the whole hour ( 60) as value => 300\n\t\tassertEquals(300.0, r.getMeasureDistance(), 0.0);\n\t\tassertEquals(300.0, r.getTotalDistance(), 0.0);\n\t\tassertEquals(\"R20151130_0000_0059\", r.getLabelValue(0));\n\t}", "@Test(priority=2,groups = {\"smoke\"},\r\n\t\t\tdescription =\"Verify Zoom Functionality\")\r\n\tpublic void gethighchartsdate() throws Exception{\r\n\t\tdata = new CA_Visibility_Page(CurrentState.getDriver());\r\n\t\t\t\t\r\n\t\tString OneMonth =\"1m\";\r\n\t\tdata.clickHighchartCriteria(OneMonth);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t\t\r\n\t\tString ThreeMonth =\"3m\";\r\n\t\tdata.clickHighchartCriteria(ThreeMonth);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t\t\r\n\t\tString SixMonth =\"6m\";\r\n\t\tdata.clickHighchartCriteria(SixMonth);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t\t\r\n\t\tString OneYear =\"1y\";\r\n\t\tdata.clickHighchartCriteria(OneYear);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t\t\r\n\t\tString YearToDate =\"ytd\";\r\n\t\tdata.clickHighchartCriteria(YearToDate);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t\t\r\n\t\tString ALLDATA =\"all\";\r\n\t\tdata.clickHighchartCriteria(ALLDATA);\r\n\t\taddEvidence(CurrentState.getDriver(), \"one Month Zoom functionality\", \"yes\");\r\n\t\tThread.sleep(5000);\r\n\t}", "@Test\n\tpublic void stepSizeWorks() {\n\t\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\n\t\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 0, 10)); // linear function y = t\n\t\tt0.setInterpolationMode(InterpolationMode.LINEAR);\n\t\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\n\t\tt1.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 5, 20)); // linear function y = 2 * t + 5\n\t\tt1.setInterpolationMode(InterpolationMode.LINEAR);\n\t\tfinal MultiTimeSeriesIterator multiIt = MultiTimeSeriesIteratorBuilder.newBuilder(Arrays.asList(t0.iterator(),t1.iterator()))\n\t\t\t\t.setStepSize(-5, 10)\n\t\t\t\t.setGlobalInterpolationMode(InterpolationMode.LINEAR)\n\t\t\t\t.build();\n\t\tAssert.assertTrue(\"Multi iterator not correctly initialized\", multiIt.hasNext());\n\t\tfor (int i=0;i<t0.size()-1;i++) {\n\t\t\tAssert.assertTrue(\"Iterator lacks points\", multiIt.hasNext());\n\t\t\tSampledValueDataPoint point = multiIt.next();\n\t\t\tfinal long t = point.getTimestamp();\n\t\t\tSampledValue first = point.getElement(0, InterpolationMode.LINEAR);\n\t\t\tSampledValue second = point.getElement(1, InterpolationMode.LINEAR);\n\t\t\tAssert.assertEquals(\"Unexpected time stamp in step size iterator\", 5+10i, t);\n\t\t\tAssert.assertEquals(\"Step size iterator: unexpected value\",5 + 10i, first.getValue().getFloatValue(), 0.01F);\n\t\t\tAssert.assertEquals(\"Step size iterator: unexpected value\",15 + 20i, second.getValue().getFloatValue(), 0.01F);\n\t\t\tif (i > 0) {\n\t\t\t\tfirst = point.previous(0);\n\t\t\t\tsecond = point.previous(1);\n\t\t\t\tAssert.assertEquals(\"Iterator's previous failed: unexpected time stamp\", 10i, first.getTimestamp());\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\", 10i, first.getValue().getFloatValue(), 0.01F);\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\", 5 + 20i, second.getValue().getFloatValue(), 0.01F);\n\t\t\t}\n\t\t\tif (i < t0.size()-2) {\n\t\t\t\tfirst = point.next(0);\n\t\t\t\tsecond = point.next(1);\n\t\t\t\tAssert.assertEquals(\"Iterator's next failed: unexpected time stamp\", 10(i+1), first.getTimestamp());\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\", 10(i+1), first.getValue().getFloatValue(), 0.01F);\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\", 25 + 20i, second.getValue().getFloatValue(), 0.01F);\n\t\t\t}\n\t\t}\n\t}", "@Test\n public void scopeOfRatingsIsCoveringTp() {\n LocalDateTime firstTime = LocalDateTime.of(2017, Month.JANUARY, 1, 0, 0);\n\n //start with creating tp (proportional), a little bit ahead\n // \|------\|\n TimePeriod tp = new TimePeriod(firstTime.plusHours(1), firstTime.plusHours(8));\n\n\n /match tp with ratings and chunkEnd so we have (proportional scale)\n ratings \|o---------\|\|\n * tp: \|-------\|\n \n /\n ScoreTime rStart = new ScoreTime(firstTime, 6);\n LocalDateTime chunkEnd = firstTime.plusHours(10); //=> several hours after tp.end\n\n //this is the method we are testing\n double[] avgscoreAndWeight = RatingTime.calcAvgAndWeight(tp, Arrays.asList(rStart),\n chunkEnd);\n assertEquals(6.0, avgscoreAndWeight[0]);\n\n /* weight should equal durationOfRatingsInScopeOfTp/tp.duration\n ratingsInScopeOfTp = 7 hours\n tp.duration = 7 hours.\n weight should be 7/7 = 1.0\n /\n\n assertEquals(1.0, avgscoreAndWeight[1], 0.01);\n }", "@Test\n public void modTimeTest() {\n // TODO: test modTime\n }", "@Test\n public void testScale() {\n System.out.println(\"scale\");\n Float s = null;\n ImageFilter instance = null;\n BufferedImage expResult = null;\n BufferedImage result = instance.scale(s);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void test09() throws Throwable {\n SubCategoryAxis subCategoryAxis0 = new SubCategoryAxis(\"Null 'marker' not permitted.\");\n CombinedDomainCategoryPlot combinedDomainCategoryPlot0 = new CombinedDomainCategoryPlot((CategoryAxis) subCategoryAxis0);\n Layer layer0 = Layer.BACKGROUND;\n Collection collection0 = combinedDomainCategoryPlot0.getRangeMarkers(0, layer0);\n boolean boolean0 = combinedDomainCategoryPlot0.isRangeCrosshairLockedOnData();\n DefaultMultiValueCategoryDataset defaultMultiValueCategoryDataset0 = new DefaultMultiValueCategoryDataset();\n combinedDomainCategoryPlot0.setDataset((CategoryDataset) defaultMultiValueCategoryDataset0);\n ValueAxis[] valueAxisArray0 = new ValueAxis[8];\n LogarithmicAxis logarithmicAxis0 = new LogarithmicAxis(\"Null 'marker' not permitted.\");\n valueAxisArray0[0] = (ValueAxis) logarithmicAxis0;\n NumberAxis3D numberAxis3D0 = new NumberAxis3D(\"Null 'marker' not permitted.\");\n valueAxisArray0[1] = (ValueAxis) numberAxis3D0;\n LogarithmicAxis logarithmicAxis1 = new LogarithmicAxis(\"Null 'marker' not permitted.\");\n valueAxisArray0[2] = (ValueAxis) logarithmicAxis1;\n CyclicNumberAxis cyclicNumberAxis0 = new CyclicNumberAxis((double) 0);\n valueAxisArray0[3] = (ValueAxis) cyclicNumberAxis0;\n NumberAxis numberAxis0 = new NumberAxis();\n valueAxisArray0[4] = (ValueAxis) numberAxis0;\n ZoneInfo zoneInfo0 = (ZoneInfo)TimeZone.getDefault();\n Locale locale0 = JComponent.getDefaultLocale();\n TimeTableXYDataset timeTableXYDataset0 = new TimeTableXYDataset((TimeZone) zoneInfo0, locale0);\n Range range0 = timeTableXYDataset0.getDomainBounds(true);\n ModuloAxis moduloAxis0 = null;\n try {\n moduloAxis0 = new ModuloAxis(\"\", (Range) null);\n } catch(TooManyResourcesException e) {\n //\n // Loop has been executed more times than the allowed 10000\n //\n assertThrownBy(\"org.evosuite.runtime.LoopCounter\", e);\n }\n }", "@Test()\n public void testGetForecastPerMonthWithYearly() {\n\tYearMonth yearMonth = YearMonth.of(2016, 8);\n\tdouble forecast = expenseManager.getForecastPerMonth(yearMonth);\n\tassertEquals(3795.75, forecast, 0.01);\n }", "public static interface DataTypeWithRatioScale<T> {\r\n \r\n /\r\n Add\r\n \r\n @param augend\r\n * @param addend\r\n * @return\r\n /\r\n public abstract T add(T augend, T addend);\r\n\r\n /\r\n Compare\r\n \r\n @param s1\r\n * @param s2\r\n * @return\r\n * @throws NumberFormatException\r\n * @throws ParseException\r\n /\r\n public abstract int compare(String s1, String s2) throws NumberFormatException,\r\n ParseException;\r\n\r\n /\r\n Compare\r\n \r\n @param t1\r\n * @param t2\r\n * @return\r\n /\r\n public abstract int compare(T t1, T t2);\r\n\r\n /\r\n Divide\r\n \r\n @param dividend\r\n * @param divisor\r\n * @return\r\n /\r\n public abstract String divide(String dividend, String divisor);\r\n \r\n /\r\n Divide\r\n \r\n @param dividend\r\n * @param divisor\r\n * @return\r\n /\r\n public abstract T divide(T dividend, T divisor);\r\n \r\n /\r\n Format\r\n \r\n @param t\r\n * @return\r\n /\r\n public abstract String format(T t);\r\n\r\n /\r\n Converts a double into a value.\r\n \r\n @param s\r\n * @return\r\n /\r\n public abstract T fromDouble(Double d);\r\n\r\n /\r\n Description\r\n \r\n @return\r\n /\r\n public abstract DataTypeDescription<T> getDescription();\r\n\r\n /\r\n Maximum\r\n \r\n @return\r\n /\r\n public T getMaximum();\r\n \r\n /\r\n Minimum\r\n \r\n @return\r\n /\r\n public T getMinimum();\r\n\r\n /\r\n Valid\r\n \r\n @param s\r\n * @return\r\n /\r\n public abstract boolean isValid(String s);\r\n\r\n /\r\n Multiply\r\n \r\n @param multiplicand\r\n * @param multiplicator\r\n * @return\r\n /\r\n public abstract String multiply(String multiplicand,\r\n String multiplicator);\r\n\r\n /\r\n Multiply\r\n \r\n @param multiplicand\r\n * @param multiplicator\r\n * @return\r\n /\r\n public abstract T multiply(T multiplicand, double multiplicator);\r\n\r\n /\r\n Multiply\r\n \r\n @param multiplicand\r\n * @param multiplicator\r\n * @return\r\n /\r\n public abstract T multiply(T multiplicand, int multiplicator);\r\n\r\n /\r\n Multiply\r\n \r\n @param multiplicand\r\n * @param multiplicator\r\n * @return\r\n /\r\n public abstract T multiply(T multiplicand, T multiplicator);\r\n \r\n /\r\n Parse\r\n \r\n @param s\r\n * @return\r\n /\r\n public abstract T parse(String s);\r\n\r\n /\r\n Divide\r\n \r\n @param dividend\r\n * @param divisor\r\n * @return\r\n /\r\n public abstract double ratio(T dividend, T divisor);\r\n \r\n /\r\n Subtract\r\n \r\n @param minuend\r\n * @param subtrahend\r\n * @return\r\n /\r\n public abstract T subtract(T minuend, T subtrahend);\r\n \r\n /\r\n Converts a double into a value.\r\n \r\n @param s\r\n * @return\r\n /\r\n public abstract Double toDouble(T t);\r\n }", "@Test\r\n public void testSplineApproximator() {\r\n List<Point> data = createConvergingDataset();\r\n List<ExpectedApproximation> exp = new ArrayList<ExpectedApproximation>();\r\n // inside\r\n exp.add(new ExpectedApproximation(400, 3, 700));\r\n exp.add(new ExpectedApproximation(1000, 17, 1050));\r\n // outside\r\n exp.add(new ExpectedApproximation(0, 0, 400));\r\n exp.add(new ExpectedApproximation(1062, 40, 1066));\r\n test(SplineInterpolationLinearExtrapolationApproximator.INSTANCE, data, exp);\r\n\r\n data = createLinearDataset();\r\n exp.clear();\r\n // inside\r\n exp.add(new ExpectedApproximation(100, 3, 200));\r\n exp.add(new ExpectedApproximation(300, 11, 400));\r\n // outside\r\n exp.add(new ExpectedApproximation(0, 0, 100));\r\n exp.add(new ExpectedApproximation(400, 17, 500));\r\n test(SplineInterpolationLinearExtrapolationApproximator.INSTANCE, data, exp);\r\n \r\n data = createIncreasingDecreasingDataset();\r\n exp.clear();\r\n // inside\r\n exp.add(new ExpectedApproximation(400, 3, 700));\r\n exp.add(new ExpectedApproximation(700, 23, 900));\r\n // outside\r\n exp.add(new ExpectedApproximation(0, 0, 400));\r\n exp.add(new ExpectedApproximation(0, 35, 500));\r\n test(SplineInterpolationLinearExtrapolationApproximator.INSTANCE, data, exp);\r\n }", "@Test\n public void test72() throws Throwable {\n CombinedRangeCategoryPlot combinedRangeCategoryPlot0 = new CombinedRangeCategoryPlot();\n combinedRangeCategoryPlot0.mapDatasetToDomainAxis(304, 908);\n Point2D.Double point2D_Double0 = new Point2D.Double((double) 304, (double) 908);\n AxisLocation axisLocation0 = AxisLocation.TOP_OR_LEFT;\n combinedRangeCategoryPlot0.setRangeAxisLocation(908, axisLocation0);\n CategoryAxis3D categoryAxis3D0 = new CategoryAxis3D(\"org.jfree.chart.annotations.XYBoxAnnotation\");\n combinedRangeCategoryPlot0.setDomainAxis((CategoryAxis) categoryAxis3D0);\n point2D_Double0.x = 4978.54542523173;\n String string0 = combinedRangeCategoryPlot0.getPlotType();\n ValueAxis[] valueAxisArray0 = new ValueAxis[6];\n DateAxis dateAxis0 = new DateAxis(\"org.jfree.chart.annotations.XYBoxAnnotation\");\n valueAxisArray0[0] = (ValueAxis) dateAxis0;\n CyclicNumberAxis cyclicNumberAxis0 = new CyclicNumberAxis((-1.0), (double) 304);\n valueAxisArray0[1] = (ValueAxis) cyclicNumberAxis0;\n NumberAxis numberAxis0 = new NumberAxis(\"z)m!{V![\");\n valueAxisArray0[2] = (ValueAxis) numberAxis0;\n SimpleDateFormat simpleDateFormat0 = (SimpleDateFormat)DateFormat.getInstance();\n ZoneInfo zoneInfo0 = (ZoneInfo)simpleDateFormat0.getTimeZone();\n DateAxis dateAxis1 = new DateAxis(\"org.jfree.chart.annotations.XYBoxAnnotation\", (TimeZone) zoneInfo0);\n valueAxisArray0[3] = (ValueAxis) dateAxis1;\n DefaultValueDataset defaultValueDataset0 = new DefaultValueDataset();\n ThermometerPlot thermometerPlot0 = new ThermometerPlot((ValueDataset) defaultValueDataset0);\n NumberAxis numberAxis1 = (NumberAxis)thermometerPlot0.getRangeAxis();\n valueAxisArray0[4] = (ValueAxis) numberAxis1;\n String[] stringArray0 = new String[7];\n stringArray0[0] = \"z)m!{V![\";\n stringArray0[1] = \"\";\n stringArray0[2] = \"%}~t\|T'c.q2O/M@;Vu5\";\n stringArray0[3] = \"?_t}%h[qlt\";\n stringArray0[4] = \"z)m!{V![\";\n stringArray0[5] = \"z)m!{V![\";\n stringArray0[6] = \"d%)TD6zCx!%m^]\|\";\n }", "@Test\n public void zoomInAndOut() throws Exception {\n assertEquals(calendarPanel.getCalendarView().getMonthPage(), calendarPanel.getPageBase());\n\n //zoom in to Week Page\n raiseZoomInEvent();\n assertEquals(calendarPanel.getCalendarView().getWeekPage(), calendarPanel.getPageBase());\n\n //zoom in to Day Page\n raiseZoomInEvent();\n assertEquals(calendarPanel.getCalendarView().getDayPage(), calendarPanel.getPageBase());\n\n //can't zoom in anymore, stays at Day Page\n raiseZoomInEvent();\n assertEquals(calendarPanel.getCalendarView().getDayPage(), calendarPanel.getPageBase());\n\n //zoom out to Week Page\n raiseZoomOutEvent();\n assertEquals(calendarPanel.getCalendarView().getWeekPage(), calendarPanel.getPageBase());\n\n //zoom out to Month Page\n raiseZoomOutEvent();\n assertEquals(calendarPanel.getCalendarView().getMonthPage(), calendarPanel.getPageBase());\n\n //zoom out to Year Page\n raiseZoomOutEvent();\n assertEquals(calendarPanel.getCalendarView().getYearPage(), calendarPanel.getPageBase());\n\n //can't zoom out anymore, stays at Year Page\n raiseZoomOutEvent();\n assertEquals(calendarPanel.getCalendarView().getYearPage(), calendarPanel.getPageBase());\n\n //zoom in to Month Page\n raiseZoomInEvent();\n assertEquals(calendarPanel.getCalendarView().getMonthPage(), calendarPanel.getPageBase());\n }", "@Test\n public void testPrediction1() throws Exception {\n\n final CalUtils.InstantGenerator instantGenerator =\n new LocalTimeMinutes(5);\n \n final double coreDailyVols[][] = new double[][] {\n new double[] {55219 , 262256 , 202661 , 218359 , 178244 , 99610 , 92348 , 124795 , 214370 , 153854 , 204116 , 173501 , 85390 , 156835 , 108070 , 23755 , 118573 , 70117 , 55768 , 52643 , 71485 , 407645 , 442909 , 129109 , 188896 , 79590 , 422121 , 290067 , 227955 , 69257 , 41634 , 446002 , 579188 , 86237 , 1606794 , 83676 , 166393 , 84987 , 875905 , 117013 , 399084 , 116190 , 149507 , 207221 , 60857 , 155612 , 448006 , 198637 , 67695 , 65423 , 180038 , 88774 , 80273 , 86065 , 85231 , 38867 , 29330 , 116353 , 26887 , 34170 , 102518 , 72246 , 21274 , 70752 , 37912 , 49367 , 100472 , 49461 , 41735 , 45795 , 36578 , 311945 , 249039 , 70487 , 121906 , 136424 , 195136 , 166308 , 331734 , 343180 , 419616 , 104613 , 1354058 , 162678 , 141067 , 147039 , 149115 , 271162 , 543989 , 184421 , 340679 , 201939 , 293860 , 171035 , 263964 , 260198 , 428087 , 565126 , 385874 , 547890 , 384416 , 256696 , 0 , 4738359},\n new double[] {1298630 , 678084 , 488607 , 224766 , 434263 , 356933 , 576571 , 219236 , 252805 , 414776 , 166828 , 174665 , 146281 , 110944 , 145234 , 179739 , 253111 , 175685 , 64925 , 216682 , 494507 , 100205 , 67371 , 101019 , 158026 , 316281 , 334067 , 954850 , 115547 , 163051 , 130303 , 107600 , 1407996 , 90357 , 110452 , 451866 , 238004 , 3096215 , 2672803 , 190170 , 111282 , 107135 , 453389 , 60821 , 98292 , 1310864 , 1132267 , 241907 , 89915 , 175676 , 61621 , 521553 , 212388 , 288651 , 193578 , 272161 , 256777 , 236382 , 802159 , 230248 , 387068 , 160647 , 106999 , 391933 , 465080 , 374577 , 340378 , 330708 , 416320 , 200347 , 251986 , 336664 , 311970 , 600559 , 508011 , 922379 , 311581 , 352459 , 508727 , 159316 , 1355635 , 246541 , 389672 , 805957 , 370754 , 382556 , 316971 , 564228 , 437166 , 277733 , 1284505 , 1763095 , 169661 , 280682 , 969102 , 540315 , 451895 , 308036 , 715130 , 642966 , 981563 , 900778 , 0 , 7155528},\n new double[] {679280 , 229518 , 346536 , 347215 , 316025 , 313890 , 235844 , 199995 , 1920617 , 129356 , 172084 , 207860 , 317578 , 10369008 , 480990 , 1403537 , 1021730 , 156125 , 94833 , 366987 , 145687 , 322957 , 328120 , 66657 , 176001 , 271003 , 133121 , 558624 , 264638 , 638663 , 165080 , 129439 , 5126344 , 5438632 , 248806 , 250616 , 112716 , 54523 , 198097 , 67772 , 1414565 , 244509 , 246205 , 151540 , 98584 , 51217 , 94193 , 111763 , 104726 , 45880 , 64242 , 78893 , 60706 , 48117 , 133085 , 101941 , 5103803 , 5084823 , 168230 , 75537 , 815036 , 73409 , 422412 , 437127 , 115802 , 326536 , 54707 , 81759 , 94420 , 208637 , 50361 , 1458556 , 84257 , 129114 , 54632 , 105873 , 57165 , 77578 , 233302 , 195560 , 134194 , 180928 , 140433 , 123154 , 221422 , 339866 , 1343886 , 114699 , 170052 , 150679 , 181731 , 160943 , 192590 , 125556 , 132656 , 154740 , 320932 , 140929 , 117889 , 381656 , 393635 , 306177 , 0 , 21629250},\n new double[] {526909 , 167180 , 199570 , 149154 , 142141 , 320881 , 223750 , 102275 , 258400 , 202197 , 120202 , 93404 , 178631 , 106401 , 346186 , 231729 , 163656 , 1622531 , 125689 , 2656587 , 5336032 , 2385985 , 335692 , 86118 , 130551 , 99047 , 81695 , 98846 , 238413 , 4831684 , 293262 , 124652 , 106642 , 112048 , 14284646 , 111209 , 2204635 , 128940 , 83395 , 134816 , 116320 , 65412 , 165020 , 126511 , 92217 , 111751 , 47320 , 82219 , 19044177 , 70827 , 21676 , 211214 , 103108 , 22771 , 61629 , 4816563 , 63806 , 33989 , 130104 , 146897 , 15046441 , 44977 , 40889 , 54584 , 54591 , 76634 , 238536 , 68583 , 110591 , 75012 , 503760 , 209479 , 217929 , 86397 , 102284 , 81878 , 252785 , 135884 , 129149 , 112760 , 266851 , 110863 , 67866 , 55205 , 150165 , 699438 , 184450 , 270270 , 4270036 , 345303 , 895116 , 217142 , 145398 , 301231 , 10260595 , 136317 , 442910 , 371357 , 189023 , 538928 , 438973 , 926728 , 9137 , 8879481},\n new double[] {1318228 , 1391326 , 574558 , 441739 , 719144 , 522626 , 404351 , 383602 , 490710 , 284952 , 2984474 , 216339 , 10220195 , 247067 , 166223 , 224310 , 10181837 , 126161 , 9764418 , 692337 , 25907353 , 1518741 , 1179929 , 120730 , 10173292 , 290045 , 19824327 , 402527 , 277859 , 3116841 , 7164061 , 332021 , 10560006 , 2334129 , 121753 , 200177 , 246402 , 10106648 , 1137272 , 2084673 , 461849 , 125108 , 465907 , 156972 , 139083 , 127389 , 237263 , 311691 , 156536 , 155322 , 133368 , 329715 , 256088 , 116835 , 5192615 , 823762 , 183836 , 1110239 , 2414836 , 385072 , 599637 , 387285 , 291580 , 2796924 , 12977051 , 338582 , 884415 , 525622 , 322587 , 223348 , 668858 , 143039 , 627590 , 239797 , 232788 , 256503 , 209425 , 375474 , 558106 , 290991 , 1176648 , 286550 , 149539 , 297435 , 602136 , 152733 , 212363 , 178992 , 179644 , 295428 , 933636 , 349405 , 660749 , 226061 , 868852 , 318539 , 469303 , 538061 , 273643 , 444084 , 347730 , 825808 , 12011 , 7792372}};\n\n final SimpleDateFormat dateBuilder = new SimpleDateFormat(\"yyyy-MM-dd\");\n final Calendar moments[] = new Calendar[] { Calendar.getInstance(), \n Calendar.getInstance(), Calendar.getInstance(), \n Calendar.getInstance(), Calendar.getInstance(),\n Calendar.getInstance() };\n\n moments[0].setTime(dateBuilder.parse(\"2011-10-26\"));\n moments[1].setTime(dateBuilder.parse(\"2011-10-27\"));\n moments[2].setTime(dateBuilder.parse(\"2011-10-28\"));\n moments[3].setTime(dateBuilder.parse(\"2011-10-30\"));\n moments[4].setTime(dateBuilder.parse(\"2011-11-01\"));\n moments[5].setTime(dateBuilder.parse(\"2011-11-02\"));\n\n // Nomralize data to sum 100 (i.e., have an expectance of 100/104)\n for(int i=0; i<5; i++) {\n double sum = 0;\n for(int j=0; j<104; j++) sum += coreDailyVols[i][j];\n for(int j=0; j<104; j++) {\n coreDailyVols[i][j] = coreDailyVols[i][j]100 / sum;\n }\n }\n\n final double[][] synthesizedDailyVols = new double[\n coreDailyVols.length][instantGenerator.maxInstantValue()];\n final Calendar openTime = Calendar.getInstance();\n final int n = 960 / 5;\n final int m = n + coreDailyVols[0].length;\n for(int i=0; i<5; i++) {\n for(int j=0; j<n; j++) {\n synthesizedDailyVols[i][j] = Double.NaN;\n }\n for(int j=0; j<coreDailyVols[i].length; j++) {\n synthesizedDailyVols[i][j+n] = coreDailyVols[i][j];\n }\n for(int j=m; j<instantGenerator.maxInstantValue(); j++) {\n synthesizedDailyVols[i][j] = Double.NaN;\n }\n }\n\n\n final Predictor predictor = new PCAPredictorTransposed(\n instantGenerator, 5);\n for(int i=0; i<5; i++) {\n predictor.learnVector(moments[i], synthesizedDailyVols[i]);\n }\n final double prediction[] = predictor.predictVector(moments[5]);\n final double coreExpectedPrediction[] = new double[] {\n0.21383323, -0.08665493, -0.28527934, -0.45293966, -0.35525111, -0.49117788,\n-0.38114565, -0.60141152, -0.09029406, -0.44815719, -0.45152723, -0.58079146,\n-0.29110153, 1.54262599, -0.59900211, -0.48107804, -0.03280398, -0.59369964,\n-0.44886852, -0.43868587, 0.88745208, -0.10900099, -0.26251035, -0.71557572,\n-0.20051598, -0.57674404, 0.53793693, 0.15857465, -0.53212067, -0.13529962,\n-0.49171709, -0.32334222, 2.16101856, 0.46824882, 2.13337330, -0.48802957,\n-0.40084079, 1.62077396, 1.93080019, -0.59114756, -0.09429057, -0.68952951,\n-0.39819841, -0.63019599, -0.78762027, 0.12458423, 0.34847712, -0.52481068,\n0.69730449, -0.74290105, -0.68866588, -0.45964670, -0.69174165, -0.64825389,\n-0.49908622, -0.30049621, 0.35726449, 0.47210113, -0.25058065, -0.72112704,\n0.79345044, -0.73245678, -0.75581875, -0.40885896, -0.08033429, -0.56030291,\n-0.54967743, -0.63571829, -0.58889882, -0.71099478, -0.67055922, -0.03850658,\n-0.40339282, -0.43003588, -0.44813762, -0.14347007, -0.48441216, -0.48851502,\n-0.15427010, -0.39484463, 0.52701151, -0.61335693, 0.89776479, -0.18821502,\n-0.46457371, -0.39850394, -0.26234640, -0.21535441, 0.33669589, -0.48879971,\n0.43892192, 0.52101182, -0.42851659, -0.51364225, 0.85831207, -0.24052028,\n-0.04192086, -0.02287821, 0.01522206, 0.24307671, 0.27369478, 0.11058009,\n-0.95575786, 14.90733910 };\n final double synthesizedExpectedPrediction[] = new double[\n instantGenerator.maxInstantValue()];\n for(int j=0; j<n; j++) {\n synthesizedExpectedPrediction[j] = Double.NaN;\n }\n for(int j=0; j<coreExpectedPrediction.length; j++) {\n synthesizedExpectedPrediction[j+n] = coreExpectedPrediction[j];\n }\n for(int j=m; j<instantGenerator.maxInstantValue(); j++) {\n synthesizedExpectedPrediction[j] = Double.NaN;\n }\n\n assertEquals(prediction.length, synthesizedExpectedPrediction.length);\n\n for(int i=0; i<prediction.length; i++) {\n assertEquals(prediction[i], synthesizedExpectedPrediction[i], \n 0.0001d);\n }\n System.out.println(\"Ok\");\n }", "private void setTimeSpanFormat(HistogramAccumulate histogram){\n\t\tif(histogram.getShowTimeSpansInReport()){\n\t\t\tTimeUnit maxUnit\t= null, minUnit\t= null;\n\t\t\tthis.timeSpanForm\t= new boolean[TimeUnit.values().length];\n\t\t\tfor(TimeUnit tu: TimeUnit.values()){\n\t\t\t\tTimeSpan t; long tV = -1; double tN;\n\t\t\t\tboolean tNisZerro = true;\n\t\t\t\tfor(int i=0; i<histogram.getCells()+2; i++){\n\t\t\t\t\tif(histogram.getLowerLimit(i) >= 0.0 && \n\t\t\t\t\t\t\thistogram.getLowerLimit(i) < Long.MAX_VALUE){\n\t\t\t\t\t\tt \t= new TimeSpan(histogram.getLowerLimit(i));\n\t\t\t\t\t\ttV \t= t.getTimeTruncated(tu);\t\t\t\t// Vorkomma Stellen\n\t\t\t\t\t\ttN\t= Math.abs(t.getTimeAsDouble(tu)-tV);\t// Nachkomma Stellen\n\t\t\t\t\t\t//if(tN != 0.0) tNisZerro = false;\n\t\t\t\t\t\tif(TimeSpan.isLonger(new TimeSpan(tN, tu), TimeSpan.ZERO))\n\t\t\t\t\t\t\ttNisZerro = false;\n\t\t\t\t\t\t//System.out.println(t);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(tV == 0 && maxUnit == null)\tmaxUnit = tu;\n\t\t\t\tif(tNisZerro) minUnit = tu;\n\t\t\t}\n\t\t\t//System.out.println(\"maxUnit: \"+this.maxUnit.name()+\" minUnit: \"+this.minUnit.name());\n\t\t\tboolean s = false;\n\t\t\tfor(int j=0; j<this.timeSpanForm.length; j++){\n\t\t\t\tif(minUnit.equals(TimeUnit.values()[j])) s = true;\n\t\t\t\tif(maxUnit != null && maxUnit.equals(TimeUnit.values()[j])) {\n\t\t\t\t\ts = false;\n\t\t\t\t\tthis.mayorTimeUnit = TimeUnit.values()[j-1];\n\t\t\t\t}\n\t\t\t\tthis.timeSpanForm[j]\t= s;\n\t\t\t}\n\t\t\tif(maxUnit == null) this.mayorTimeUnit = TimeUnit.DAYS;\n\n\t\t\t// manage seconds, milliseconds, ...\n\t\t\tfor(int i=3; i>=0; i--){\n\t\t\t\tif(this.timeSpanForm[i]){\n\t\t\t\t\tfor(int j=i-1; j>=0; j--) this.timeSpanForm[j] = false;\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t/\n\t\t\tfor(int j=0; j<this.timeSpanForm.length; j++){\n\t\t\t\tSystem.out.println(TimeUnit.values()[j]+\" \"+this.timeSpanForm[j]);\n\t\t\t}\n\t\t\t/\n\t\t}\n\t}", "private void setTimeSpanFormat(Histogram histogram){\n\t\tif(histogram.getShowTimeSpansInReport()){\n\t\t\tTimeUnit maxUnit\t= null, minUnit\t= null;\n\t\t\tthis.timeSpanForm\t= new boolean[TimeUnit.values().length];\n\t\t\tfor(TimeUnit tu: TimeUnit.values()){\n\t\t\t\tTimeSpan t; long tV = -1; double tN;\n\t\t\t\tboolean tNisZerro = true;\n\t\t\t\tfor(int i=0; i<histogram.getCells()+2; i++){\n\t\t\t\t\tif(histogram.getLowerLimit(i) >= 0.0 && \n\t\t\t\t\t\t\thistogram.getLowerLimit(i) < Long.MAX_VALUE){\n\t\t\t\t\t\tt \t= new TimeSpan(histogram.getLowerLimit(i));\n\t\t\t\t\t\ttV \t= t.getTimeTruncated(tu);\t\t\t\t// Vorkomma Stellen\n\t\t\t\t\t\ttN\t= Math.abs(t.getTimeAsDouble(tu)-tV);\t// Nachkomma Stellen\n\t\t\t\t\t\t//if(tN != 0.0) tNisZerro = false;\n\t\t\t\t\t\tif(TimeSpan.isLonger(new TimeSpan(tN, tu), TimeSpan.ZERO))\n\t\t\t\t\t\t\ttNisZerro = false;\n\t\t\t\t\t\t//System.out.println(t);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tif(tV == 0 && maxUnit == null)\tmaxUnit = tu;\n\t\t\t\tif(tNisZerro) minUnit = tu;\n\t\t\t}\n\t\t\t//System.out.println(\"maxUnit: \"+this.maxUnit.name()+\" minUnit: \"+this.minUnit.name());\n\t\t\tboolean s = false;\n\t\t\tfor(int j=0; j<this.timeSpanForm.length; j++){\n\t\t\t\tif(minUnit.equals(TimeUnit.values()[j])) s = true;\n\t\t\t\tif(maxUnit != null && maxUnit.equals(TimeUnit.values()[j])){\n\t\t\t\t\ts = false;\n\t\t\t\t\tthis.mayorTimeUnit = TimeUnit.values()[j-1];\n\t\t\t\t}\n\t\t\t\tthis.timeSpanForm[j]\t= s;\n\t\t\t}\n\t\t\tif(maxUnit == null) this.mayorTimeUnit = TimeUnit.DAYS;\n\t\t\t\n\t\t\t// manage seconds, milliseconds, ...\n\t\t\tfor(int i=3; i>=0; i--){\n\t\t\t\tif(this.timeSpanForm[i]){\n\t\t\t\t\tfor(int j=i-1; j>=0; j--) this.timeSpanForm[j] = false;\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\t/\n\t\t\tfor(int j=0; j<this.timeSpanForm.length; j++){\n\t\t\t\tSystem.out.println(TimeUnit.values()[j]+\" \"+this.timeSpanForm[j]);\n\t\t\t}\n\t\t\t/\n\t\t\t\n\t\t}\n\t}", "private boolean isWithInScale(Rule r) {\n return ((r.getMinScaleDenominator() - TOLERANCE) <= scaleDenominator)\n && ((r.getMaxScaleDenominator() + TOLERANCE) > scaleDenominator);\n }", "private static void performChangeBy(Temperature t, double delta, char scale) {\n\n if (scale == CEL_SCALE_CODE) { \n System.out.printf(\"Calling changeBy(%f,true)\\n\", delta);\n t.changeBy(delta, true); \n }\n else if (scale == FAH_SCALE_CODE) { \n System.out.printf(\"Calling changeBy(%f,false)\\n\", delta);\n t.changeBy(delta, false);\n }\n else {\n System.out.printf(\"Calling changeBy(%f)\\n\", delta);\n t.changeBy(delta);\n }\n }", "@Test\n public void testTimelyTest() {\n }", "@Test\n public void DataSmoothTest31() {\n\t LinkedList<Double> runtimes3 = D1.dataSmooth(shows4);\n\t \n\t for(int i = 0; i < runtimes3.size(); i++) {\n\t\t assertEquals(runtimes3.get(i), showResults4.get(i), 0.01);\n\t }\n }", "@Test\n\tpublic void testMakeMeterSectionOnsets() {\n\t\tScorePiece sp = new ScorePiece(MIDIImport.importMidiFile(midiTestGetMeterKeyInfo));\n\t\tScoreMetricalTimeLine smtl = new ScoreMetricalTimeLine(sp.getMetricalTimeLine());\n\n\t\tList<Rational> expected = Arrays.asList(new Rational[]{\n\t\t\tnew Rational(0, 4),\n\t\t\tnew Rational(3, 4),\n\t\t\tnew Rational(19, 4),\n\t\t\tnew Rational(43, 4),\n\t\t\tnew Rational(51, 4),\n\t\t\tnew Rational(209, 16)\n\t\t});\n\t\t\n\t\tList<Rational> actual = smtl.makeMeterSectionOnsets();\n\n\t\tassertEquals(expected.size(), actual.size());\n\t\tfor (int i = 0; i < expected.size(); i++) {\n\t\t\tassertEquals(expected.get(i), actual.get(i));\t\t\n\t\t}\n\t\tassertEquals(expected, actual);\n\t}", "@Test(timeout = 4000)\n public void test015() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[7];\n intArray0[0] = 0;\n intArray0[1] = 1;\n intArray0[2] = 952;\n intArray0[3] = 2;\n intArray0[4] = 1;\n intArray0[5] = 1;\n intArray0[6] = 0;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {0, 1, 952, 2, 1, 1, 0}, intArray0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(7, intArray0.length);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean(2, 2);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot1.getRowName(2);\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertFalse(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixGnuPlot1.getRowNameWidth());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n int int0 = resultMatrixGnuPlot0.getDefaultColNameWidth();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n resultMatrixGnuPlot0.setRowHidden(0, false);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n boolean boolean0 = resultMatrixSignificance0.getDefaultShowStdDev();\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n String string2 = resultMatrixGnuPlot0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertNotNull(string2);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int int1 = resultMatrixPlainText0.getDisplayRow(44);\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals((-1), int1);\n assertFalse(int1 == int0);\n }", "@Test(timeout = 4000)\n public void test034() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String string0 = resultMatrixPlainText0.toString();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"Dataset (1) col0 \\n-----------------------------------\\nrow0 (0) \|\\n-----------------------------------\\n(v/ /) \|\\n\", string0);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixPlainText0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertNotNull(resultMatrixHTML0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.setRowNameWidth(2);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixHTML0.setRowNameWidth(0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setRowNameWidth(0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n boolean boolean0 = resultMatrixHTML0.getShowAverage();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n \n boolean boolean1 = resultMatrixPlainText0.isSignificance(3);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertTrue(boolean1);\n assertFalse(boolean1 == boolean0);\n \n ResultMatrixHTML resultMatrixHTML1 = new ResultMatrixHTML();\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(1, resultMatrixHTML1.getRowCount());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertNotNull(resultMatrixHTML1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n \n int int0 = resultMatrixHTML1.getColCount();\n assertTrue(resultMatrixHTML1.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML1.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML1.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML1.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML1.stdDevPrecTipText());\n assertFalse(resultMatrixHTML1.getShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML1.getDisplayName());\n assertEquals(1, resultMatrixHTML1.getColCount());\n assertEquals(0, resultMatrixHTML1.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML1.getColNameWidth());\n assertEquals(0, resultMatrixHTML1.getSignificanceWidth());\n assertTrue(resultMatrixHTML1.getPrintRowNames());\n assertEquals(0, resultMatrixHTML1.getCountWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML1.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML1.countWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixHTML1.getPrintColNames());\n assertEquals(0, resultMatrixHTML1.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML1.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML1.significanceWidthTipText());\n assertEquals(1, resultMatrixHTML1.getVisibleColCount());\n assertEquals(2, resultMatrixHTML1.getDefaultMeanPrec());\n assertEquals(25, resultMatrixHTML1.getDefaultRowNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML1.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML1.getDefaultShowAverage());\n assertFalse(resultMatrixHTML1.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML1.getDefaultPrintColNames());\n assertEquals(1, resultMatrixHTML1.getVisibleRowCount());\n assertTrue(resultMatrixHTML1.getDefaultEnumerateColNames());\n assertFalse(resultMatrixHTML1.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixHTML1.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML1.rowNameWidthTipText());\n assertEquals(0, resultMatrixHTML1.getDefaultColNameWidth());\n assertEquals(25, resultMatrixHTML1.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML1.showAverageTipText());\n assertEquals(1, resultMatrixHTML1.getRowCount());\n assertTrue(resultMatrixHTML1.getDefaultPrintRowNames());\n assertEquals(2, resultMatrixHTML1.getStdDevPrec());\n assertFalse(resultMatrixHTML1.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML1.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML1.printRowNamesTipText());\n assertFalse(resultMatrixHTML1.getRemoveFilterName());\n assertFalse(resultMatrixHTML1.getDefaultShowStdDev());\n assertEquals(0, resultMatrixHTML1.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML1.stdDevWidthTipText());\n assertFalse(resultMatrixHTML1.getShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML1.meanPrecTipText());\n assertEquals(0, resultMatrixHTML1.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML1.colNameWidthTipText());\n assertEquals(2, resultMatrixHTML1.getDefaultStdDevPrec());\n assertNotSame(resultMatrixHTML1, resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, int0);\n assertFalse(resultMatrixHTML1.equals((Object)resultMatrixHTML0));\n \n int[] intArray0 = resultMatrixHTML0.getRowOrder();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertNull(intArray0);\n assertNotSame(resultMatrixHTML0, resultMatrixHTML1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixHTML0.equals((Object)resultMatrixHTML1));\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(22, 1);\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(22, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(22, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(resultMatrixCSV0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixCSV0.setMeanPrec(0);\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(22, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(22, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n String[][] stringArray0 = resultMatrixPlainText0.toArray();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(stringArray0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(3, stringArray0.length);\n \n String string1 = resultMatrixCSV0.getSummaryTitle((-110));\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(22, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(22, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"[\", string1);\n assertFalse(string1.equals((Object)string0));\n \n String string2 = resultMatrixCSV0.toStringRanking();\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(22, resultMatrixCSV0.getVisibleColCount());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertEquals(0, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(22, resultMatrixCSV0.getColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(\"-ranking data not set-\", string2);\n assertFalse(string2.equals((Object)string0));\n assertFalse(string2.equals((Object)string1));\n \n double double0 = resultMatrixGnuPlot0.getAverage(15);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0.0, double0, 0.01);\n \n resultMatrixPlainText0.assign(resultMatrixHTML0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(0, resultMatrixPlainText0.getRowNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(5, resultMatrixHTML0.getCountWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertNotSame(resultMatrixHTML0, resultMatrixHTML1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixHTML0.equals((Object)resultMatrixHTML1));\n \n boolean boolean2 = resultMatrixGnuPlot0.isAverage((-509));\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertFalse(boolean2);\n assertTrue(boolean2 == boolean0);\n assertFalse(boolean2 == boolean1);\n }", "@Test\n public void durationTest() {\n // TODO: test duration\n }", "public void testGetSubDimensionality()\n {\n RandomSubVectorThresholdLearner<String> instance = new RandomSubVectorThresholdLearner<String>();\n\n instance.setPercentToSample(0.5);\n assertEquals(5, instance.getSubDimensionality(10));\n\n instance.setPercentToSample(0.25);\n assertEquals(2, instance.getSubDimensionality(9));\n\n instance.setPercentToSample(1.0);\n assertEquals(9, instance.getSubDimensionality(9));\n\n instance.setPercentToSample(0.0);\n assertEquals(1, instance.getSubDimensionality(9));\n }", "public void testGetSubIntervalCount() {\n TaskSeriesCollection tsc = createCollection3();\n }", "@Test\n public void testMediaMovelSimples() {\n System.out.println(\"MediaMovelSimples\");\n int[] energia = null;\n int linhas = 0;\n double n = 0;\n Double[] expResult = null;\n Double[] resultArray = null;\n double[] result = ProjetoV1.MediaMovelSimples(energia, linhas, n);\n if (resultArray != null) {\n resultArray = ArrayUtils.converterParaArrayDouble(result);\n }\n assertArrayEquals(expResult, resultArray);\n\n }", "@Test\n public void testTrain_RegressionDataSet() {\n System.out.println(\"train\");\n RegressionDataSet trainSet = FixedProblems.getSimpleRegression1(150, new Random(2));\n RegressionDataSet testSet = FixedProblems.getSimpleRegression1(50, new Random(3));\n\n for (boolean modification1 : new boolean[] { true, false })\n for (SupportVectorLearner.CacheMode cacheMode : SupportVectorLearner.CacheMode.values()) {\n PlattSMO smo = new PlattSMO(new RBFKernel(0.5));\n smo.setCacheMode(cacheMode);\n smo.setC(1);\n smo.setEpsilon(0.1);\n smo.setModificationOne(modification1);\n smo.train(trainSet);\n\n double errors = 0;\n for (int i = 0; i < testSet.size(); i++)\n errors += Math.pow(testSet.getTargetValue(i) - smo.regress(testSet.getDataPoint(i)), 2);\n assertTrue(errors / testSet.size() < 1);\n }\n }", "@Test(timeout = 4000)\n public void test102() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixGnuPlot0);\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader((String) null);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test075() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[][] intArray0 = new int[2][4];\n int[] intArray1 = new int[1];\n intArray1[0] = 0;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray0[1] = intArray1;\n resultMatrixGnuPlot0.setRanking(intArray0);\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, intArray0.length);\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.setSize((-4715), (-4715));\n fail(\"Expecting exception: NegativeArraySizeException\");\n \n } catch(NegativeArraySizeException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "void initScale(){\n samplingScale = getScaleAdaptive(x);\n }", "boolean hasMetricTreatment();", "public void testGetStartValue() {\n TaskSeriesCollection c = createCollection1();\n TaskSeriesCollection c3 = createCollection3();\n }", "@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize();\n Locale.getISOLanguages();\n double[][] doubleArray0 = new double[9][8];\n double[] doubleArray1 = new double[3];\n double[] doubleArray2 = new double[9];\n doubleArray2[5] = (-163.0);\n doubleArray2[8] = 1421.4058829;\n doubleArray0[3] = doubleArray0[2];\n doubleArray0[4] = doubleArray0[1];\n discretize0.setOutputFormat();\n double[] doubleArray3 = new double[2];\n doubleArray3[0] = 1421.4058829;\n doubleArray3[1] = (-163.0);\n doubleArray0[6] = doubleArray2;\n double[] doubleArray4 = new double[0];\n doubleArray0[7] = doubleArray4;\n double[] doubleArray5 = new double[6];\n doubleArray5[2] = (-163.0);\n doubleArray0[8] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n // Undeclared exception!\n try { \n discretize0.setOutputFormat();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }", "ScaleType getScale();", "@Test\n public void testFindRate_PositiveResult_Mon9to12() {\n System.out.println(\"FindRate-positive result mon 0900-1200\");\n AssertRateFound(\"2015-07-06T09:00:00Z\", \"2015-07-06T20:59:00Z\", 1500); \n }", "@Test()\n public void testGetForecastPerMonth() {\n\tYearMonth yearMonth = YearMonth.of(2016, 4);\n\tdouble forecast = expenseManager.getForecastPerMonth(yearMonth);\n\tassertEquals(483, forecast, 0);\n }", "@Test(timeout = 4000)\n public void test137() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.getStdDev(1766, 1766);\n int[] intArray0 = new int[2];\n intArray0[0] = 2;\n intArray0[1] = 2;\n resultMatrixGnuPlot0.setColOrder(intArray0);\n resultMatrixGnuPlot0.LOSS_STRING = \"yAI>42JGo9\";\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixGnuPlot0);\n resultMatrixPlainText0.meanPrecTipText();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixGnuPlot0);\n ResultMatrixLatex resultMatrixLatex1 = new ResultMatrixLatex(1529, 1766);\n }", "@Test\n public void testGenererTempsTriangulaire() throws Exception {\n System.out.println(\"genererTempsTriangulaire\");\n double min = 0.0;\n double mode = 0.0;\n double max = 0.0;\n double expResult = 0.0;\n double result = Utils.genererTempsTriangulaire(min, mode, max);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void testGetStartValue2() {\n TaskSeriesCollection c = createCollection2();\n TaskSeriesCollection c3 = createCollection3();\n }", "@Test(timeout = 4000)\n public void test003() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray0[1] = intArray2;\n int[] intArray3 = new int[1];\n assertFalse(intArray3.equals((Object)intArray2));\n assertFalse(intArray3.equals((Object)intArray1));\n \n intArray0[2] = intArray3;\n String string0 = resultMatrixGnuPlot0.getRevision();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n double double0 = resultMatrixGnuPlot0.getMean(1129, 97);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixGnuPlot.main((String[]) null);\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixGnuPlot0);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertNotNull(resultMatrixGnuPlot1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n String string1 = resultMatrixGnuPlot1.getRowName(1);\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertEquals(0, resultMatrixGnuPlot1.getMeanWidth());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertNull(string1);\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n resultMatrixGnuPlot1.m_MeanWidth = 1129;\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(1129, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n \n int int0 = resultMatrixGnuPlot1.getDefaultColNameWidth();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(1129, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(50, int0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n \n boolean boolean0 = resultMatrixGnuPlot1.getDefaultEnumerateColNames();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(2, resultMatrixGnuPlot1.getMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultCountWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateRowNamesTipText());\n assertEquals(1129, resultMatrixGnuPlot1.getMeanWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintColNames());\n assertEquals(50, resultMatrixGnuPlot1.getRowNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot1.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot1.stdDevWidthTipText());\n assertEquals(2, resultMatrixGnuPlot1.getStdDevPrec());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot1.meanWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getStdDevWidth());\n assertTrue(resultMatrixGnuPlot1.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot1.globalInfo());\n assertFalse(resultMatrixGnuPlot1.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot1.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot1.showAverageTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot1.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot1.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot1.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot1.printRowNamesTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot1.getDisplayName());\n assertTrue(resultMatrixGnuPlot1.getPrintColNames());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot1.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot1.enumerateColNamesTipText());\n assertEquals(1, resultMatrixGnuPlot1.getColCount());\n assertEquals(1, resultMatrixGnuPlot1.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot1.stdDevPrecTipText());\n assertFalse(resultMatrixGnuPlot1.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot1.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot1.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getDefaultSignificanceWidth());\n assertFalse(resultMatrixGnuPlot1.getEnumerateColNames());\n assertEquals(2, resultMatrixGnuPlot1.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot1.rowNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot1.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot1.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot1.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot1.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot1.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot1.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot1.printColNamesTipText());\n assertNotSame(resultMatrixGnuPlot0, resultMatrixGnuPlot1);\n assertNotSame(resultMatrixGnuPlot1, resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertFalse(boolean0);\n assertFalse(resultMatrixGnuPlot0.equals((Object)resultMatrixGnuPlot1));\n assertFalse(resultMatrixGnuPlot1.equals((Object)resultMatrixGnuPlot0));\n }", "@Test(timeout = 4000)\n public void test004() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.assign((ResultMatrix) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n public void testGetLimite() {\n \n assertEquals(50.0, soin1.getLimite(),0.01);\n assertEquals(80.0, soin2.getLimite(),0.01);\n }", "@Test\n\tpublic void stepSizeWorksWithHistory() {\n\t\tfinal FloatTimeSeries t0 = new FloatTreeTimeSeries();\n\t\tt0.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 0, 10)); // linear function y = t\n\t\tt0.setInterpolationMode(InterpolationMode.LINEAR);\n\t\tfinal FloatTimeSeries t1 = new FloatTreeTimeSeries();\n\t\tt1.addValues(TimeSeriesUtils.createStepFunction(10, 0, 10, 5, 20)); // linear function y = 2 * t + 5\n\t\tt1.setInterpolationMode(InterpolationMode.LINEAR);\n\t\tfinal MultiTimeSeriesIterator multiIt = MultiTimeSeriesIteratorBuilder.newBuilder(Arrays.asList(t0.iterator(),t1.iterator()))\n\t\t\t\t.setStepSize(-5, 10)\n\t\t\t\t.setGlobalInterpolationMode(InterpolationMode.LINEAR)\n\t\t\t\t.setMaxNrHistoricalValues(1)\n\t\t\t\t.build();\n\t\tAssert.assertTrue(\"Multi iterator not correctly initialized\", multiIt.hasNext());\n\t\tfor (int i=0;i<t0.size()-1;i++) {\n\t\t\tAssert.assertTrue(\"Iterator lacks points\", multiIt.hasNext());\n\t\t\tSampledValueDataPoint point = multiIt.next();\n\t\t\tif (i > 0) {\n\t\t\t\tSampledValueDataPoint previous = point.getPrevious(1);\n\t\t\t\tAssert.assertEquals(\"Iterator's getPrevious failed: unexpected time stamp\", 5+10(i-1), previous.getTimestamp());\n\t\t\t\tAssert.assertEquals(\"Iterator's getPreviousTimestamp failed: unexpected time stamp\", 5+10(i-1), point.getPreviousTimestamp());\n\t\t\t\tSampledValue first = previous.getElement(0, InterpolationMode.LINEAR);\n\t\t\t\tSampledValue second = previous.getElement(1, InterpolationMode.LINEAR);\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\",5 + 10(i-1), first.getValue().getFloatValue(), 0.01F);\n\t\t\t\tAssert.assertEquals(\"Step size iterator: unexpected previous value\",15 + 20(i-1), second.getValue().getFloatValue(), 0.01F);\n\t\t\t}\n\t\t}\n\t}", "@Test(timeout = 4000)\n public void test012() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[] intArray0 = new int[1];\n intArray0[0] = 1;\n resultMatrixLatex0.setRowOrder(intArray0);\n assertArrayEquals(new int[] {1}, intArray0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, intArray0.length);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(1, 1);\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.m_StdDevPrec = 1;\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n \n int int0 = resultMatrixPlainText0.getDefaultCountWidth();\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(1, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(5, int0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixGnuPlot0.toStringMatrix();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(0, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"(1)\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\", string0);\n \n resultMatrixLatex0.m_ColOrder = intArray0;\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(1, 1);\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(resultMatrixCSV0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixCSV0.m_EnumerateRowNames = true;\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n \n resultMatrixCSV0.clearHeader();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.assign(resultMatrixCSV0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixGnuPlot0.setCountWidth(661);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string1 = resultMatrixGnuPlot0.toStringSummary();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string1);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n \n int int1 = resultMatrixGnuPlot0.getStdDevWidth();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int1);\n assertFalse(int1 == int0);\n \n String string2 = resultMatrixLatex0.trimString(\"\", 2);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(string2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"\", string2);\n assertFalse(string2.equals((Object)string1));\n assertFalse(string2.equals((Object)string0));\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixHTML0.setSize(2417, 1);\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2417, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2417, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string3 = resultMatrixHTML0.toStringRanking();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertTrue(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(661, resultMatrixHTML0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertFalse(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertEquals(25, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(2417, resultMatrixHTML0.getVisibleColCount());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(2417, resultMatrixHTML0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertFalse(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(661, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertNotNull(string3);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-ranking data not set-\", string3);\n assertFalse(string3.equals((Object)string1));\n assertFalse(string3.equals((Object)string0));\n assertFalse(string3.equals((Object)string2));\n \n String string4 = resultMatrixCSV0.countWidthTipText();\n assertFalse(resultMatrixCSV0.getDefaultShowStdDev());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixCSV0.printRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixCSV0.countWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixCSV0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixCSV0.meanPrecTipText());\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultSignificanceWidth());\n assertEquals(\"Generates the matrix in CSV ('comma-separated values') format.\", resultMatrixCSV0.globalInfo());\n assertEquals(0, resultMatrixCSV0.getCountWidth());\n assertFalse(resultMatrixCSV0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixCSV0.getRemoveFilterName());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(1, resultMatrixCSV0.getVisibleRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixCSV0.getColNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixCSV0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixCSV0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixCSV0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixCSV0.printColNamesTipText());\n assertFalse(resultMatrixCSV0.getDefaultPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixCSV0.removeFilterNameTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixCSV0.significanceWidthTipText());\n assertEquals(0, resultMatrixCSV0.getDefaultStdDevWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixCSV0.getVisibleColCount());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixCSV0.meanWidthTipText());\n assertFalse(resultMatrixCSV0.getShowStdDev());\n assertTrue(resultMatrixCSV0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixCSV0.showStdDevTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixCSV0.stdDevWidthTipText());\n assertFalse(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertFalse(resultMatrixCSV0.getDefaultShowAverage());\n assertTrue(resultMatrixCSV0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertTrue(resultMatrixCSV0.getEnumerateColNames());\n assertEquals(25, resultMatrixCSV0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixCSV0.getDefaultCountWidth());\n assertFalse(resultMatrixCSV0.getShowAverage());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(2, resultMatrixCSV0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixCSV0.colNameWidthTipText());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixCSV0.showAverageTipText());\n assertEquals(\"CSV\", resultMatrixCSV0.getDisplayName());\n assertNotNull(string4);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"The width of the counts (0 = optimal).\", string4);\n assertFalse(string4.equals((Object)string2));\n assertFalse(string4.equals((Object)string0));\n assertFalse(string4.equals((Object)string1));\n assertFalse(string4.equals((Object)string3));\n \n String string5 = resultMatrixLatex0.globalInfo();\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertNotNull(string5);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", string5);\n assertFalse(string5.equals((Object)string0));\n assertFalse(string5.equals((Object)string4));\n assertFalse(string5.equals((Object)string2));\n assertFalse(string5.equals((Object)string1));\n assertFalse(string5.equals((Object)string3));\n \n String[][] stringArray0 = new String[6][8];\n String[] stringArray1 = new String[6];\n stringArray1[0] = \"$circ$\";\n stringArray1[1] = \"]\";\n stringArray1[2] = \" \";\n stringArray1[3] = \"]\";\n stringArray1[4] = \"v\";\n stringArray1[5] = \"The width of the counts (0 = optimal).\";\n stringArray0[0] = stringArray1;\n String[] stringArray2 = new String[9];\n assertFalse(stringArray2.equals((Object)stringArray1));\n \n stringArray2[0] = \"v\";\n stringArray2[1] = \"\";\n stringArray2[2] = \"[\";\n stringArray2[3] = \"-summary data not set-\";\n stringArray2[4] = \"Generates the matrix output in LaTeX-syntax.\";\n stringArray2[5] = \"(\";\n stringArray2[6] = \"(\";\n stringArray2[7] = \" \";\n stringArray2[8] = \" \";\n stringArray0[1] = stringArray2;\n String[] stringArray3 = new String[2];\n assertFalse(stringArray3.equals((Object)stringArray1));\n assertFalse(stringArray3.equals((Object)stringArray2));\n \n stringArray3[0] = \"[\";\n stringArray3[1] = \"[\";\n stringArray0[2] = stringArray3;\n String[] stringArray4 = new String[1];\n assertFalse(stringArray4.equals((Object)stringArray2));\n assertFalse(stringArray4.equals((Object)stringArray1));\n assertFalse(stringArray4.equals((Object)stringArray3));\n \n stringArray4[0] = \"\";\n stringArray0[3] = stringArray4;\n String[] stringArray5 = new String[6];\n assertFalse(stringArray5.equals((Object)stringArray2));\n assertFalse(stringArray5.equals((Object)stringArray1));\n assertFalse(stringArray5.equals((Object)stringArray4));\n assertFalse(stringArray5.equals((Object)stringArray3));\n \n stringArray5[0] = \"$circ$\";\n stringArray5[1] = \"\\n##################\\n# file: plot.dat #\\n##################\\n# generated by WEKA 3.7.7\\n# contains the data for the plot\\n\\n# key for the x-axis\\n# 1 - row0\\n\\n# data for the plot\\n1 ''\\n#######\\n# end #\\n#######\\n\\n##################\\n# file: plot.scr #\\n##################\\n# generated by WEKA 3.7.7\\n# script to plot the data\\n\\n# display it in a window:\\nset terminal x11\\nset output\\n\\n# to display all data rows:\\nset xrange [0:2]\\n\\n# axis labels, e.g.:\\n#set xlabel \\\"Datasets\\\"\\n#set ylabel \\\"Accuracy in %\\\"\\n\\n# the plot commands\\nplot \\\"plot.dat\\\" using 1:2 with lines title \\\"(1)\\\"\\n\\n# generate ps:\\n#set terminal postscript\\n#set output \\\"plot.ps\\\"\\n#replot\\n\\n# generate png:\\n#set terminal png size 800,600\\n#set output \\\"plot.png\\\"\\n#replot\\n\\n# wait for user to hit <Return>\\npause -1\\n#######\\n# end #\\n#######\\n\";\n stringArray5[2] = \"\";\n stringArray5[3] = \" \";\n stringArray5[4] = \"$circ$\";\n stringArray5[5] = \" \";\n stringArray0[4] = stringArray5;\n String[] stringArray6 = new String[7];\n assertFalse(stringArray6.equals((Object)stringArray5));\n assertFalse(stringArray6.equals((Object)stringArray3));\n assertFalse(stringArray6.equals((Object)stringArray2));\n assertFalse(stringArray6.equals((Object)stringArray1));\n assertFalse(stringArray6.equals((Object)stringArray4));\n \n stringArray6[0] = \"]\";\n stringArray6[1] = \" \";\n stringArray6[2] = \"v\";\n stringArray6[3] = \"v\";\n stringArray6[4] = \" \";\n stringArray6[5] = \"$circ$\";\n stringArray6[6] = \"v\";\n stringArray0[5] = stringArray6;\n // Undeclared exception!\n try { \n resultMatrixLatex0.getColSize(stringArray0, 2, true, true);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 2\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "public void\nupdateStatelistScale(int updateScaleType) {\n\n\tfor (int istate=0; istate<=systemDesign_.numstatelist; istate++) {\n\n\t\tswitch (updateScaleType) {\n\n\t\t\tcase UPDATE_STATELIST_SCALE_PFAIL:\n\t\t\t\tsystemDesign_.statelist[istate].pfailurescale = systemDesign_.pfailurescale;\n\t\t\t\tbreak;\n\n\t\t\tcase UPDATE_STATELIST_SCALE_PFAIL_SURVIVE:\n\t\t\t\tsystemDesign_.statelist[istate].pfailuresurvivescale = systemDesign_.pfailuresurvivescale;\n\t\t\t\tbreak;\n\n\t\t\tcase UPDATE_STATELIST_SCALE_REMOTE_TRAFFIC:\n\t\t\t\tsystemDesign_.statelist[istate].remotetrafficscale = systemDesign_.remotetrafficscale;\n\t\t\t\tsystemDesign_.statelist[istate].pfailurescale = 0;\t// 22sept03\t\n\t\t\t\tbreak;\n\n\t\t\tcase UPDATE_STATELIST_SCALE_HAMMING:\n\t\t\t\tsystemDesign_.statelist[istate].hammingscale = systemDesign_.hammingscale;\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\tfloat objx = systemDesign_.statelist[istate].fixedcost * systemDesign_.statelist[istate].fixedcostscale;\n\t\tobjx += systemDesign_.statelist[istate].monthlycost * systemDesign_.statelist[istate].monthlycostscale;\n\t\tobjx += (1 - systemDesign_.statelist[istate].psuccess) * systemDesign_.statelist[istate].pfailurescale;\n\t\tobjx += systemDesign_.statelist[istate].responsetime * systemDesign_.statelist[istate].responsetimescale;\n\t\tobjx += systemDesign_.statelist[istate].remotetraffic * systemDesign_.statelist[istate].remotetrafficscale; // 'messaging mods\n\t\tobjx += systemDesign_.statelist[istate].pfailuresurvive * systemDesign_.statelist[istate].pfailuresurvivescale; // 'marc EN 1.1 smoothing\n\t\tobjx += systemDesign_.statelist[istate].hamming * systemDesign_.statelist[istate].hammingscale; // 'marc EN 1.1 hamming\n\t\tsystemDesign_.statelist[istate].e = objx;\n\t\t} // Next istate\n\n\t}", "@Test(timeout = 4000)\n public void test115() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setPrintColNames(false);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test\n\tpublic void testGetSubtitlesTimeS2() {\n\t\ttry {\n\t\t\tSubtitleSeq seq = SubtitleSeqFactory.getSubtitleSeq();\n\t\t\tseq.addSubtitle(new SubtitleSt(new TimeSt(\"00\", \"00\", \"35\", \"536\"), new TimeSt(\"00\", \"00\", \"37\", \"746\"), \"[whistling]\"));\n\n\t\t\tassertNull(\"Method getSubtitle(Time) not working correctly\", seq.getSubtitle(new TimeSt(\"00\", \"00\", \"30\", \"536\")));\n\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "@Test\n public void computeFactor_WinterTimeMonth() {\n long startTimeUsage = DateTimeHandling\n .calculateMillis(\"2012-09-03 00:00:00\");\n long endTimeUsage = DateTimeHandling\n .calculateMillis(\"2012-11-08 23:59:59\");\n BillingInput billingInput = BillingInputFactory.newBillingInput(\n \"2012-09-01 00:00:00\", \"2012-12-01 00:00:00\");\n\n // when\n double factor = calculator.computeFactor(PricingPeriod.MONTH,\n billingInput, startTimeUsage, endTimeUsage, true, true);\n\n // then\n assertEquals(3, factor, 0);\n }", "@Test(timeout = 4000)\n public void test057() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray0[1] = intArray2;\n int[] intArray3 = new int[0];\n assertFalse(intArray3.equals((Object)intArray1));\n assertFalse(intArray3.equals((Object)intArray2));\n \n intArray0[2] = intArray3;\n int[] intArray4 = new int[6];\n assertFalse(intArray4.equals((Object)intArray1));\n assertFalse(intArray4.equals((Object)intArray3));\n assertFalse(intArray4.equals((Object)intArray2));\n \n intArray4[1] = 0;\n intArray4[2] = 2;\n intArray4[3] = 0;\n intArray4[4] = 2;\n intArray4[5] = 0;\n intArray0[3] = intArray4;\n int[] intArray5 = new int[0];\n assertFalse(intArray5.equals((Object)intArray1));\n assertFalse(intArray5.equals((Object)intArray3));\n assertFalse(intArray5.equals((Object)intArray4));\n assertFalse(intArray5.equals((Object)intArray2));\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixGnuPlot0);\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(50, resultMatrixLatex0.getRowNameWidth());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertFalse(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray6 = new int[0][5];\n assertFalse(intArray6.equals((Object)intArray0));\n \n // Undeclared exception!\n try { \n resultMatrixLatex0.setSummary(intArray6, intArray0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 0\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test029() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(2, 1);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixPlainText0.setRowNameWidth((-1789));\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(resultMatrixGnuPlot0);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(50, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertNotNull(resultMatrixHTML0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixHTML0.setRowNameWidth(0);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertEquals(0, resultMatrixHTML0.getRowNameWidth());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixHTML0.setRowNameWidth(353);\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(353, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n boolean boolean0 = resultMatrixHTML0.getShowAverage();\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(353, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int int0 = 3;\n boolean boolean1 = resultMatrixPlainText0.isSignificance(3);\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(5, resultMatrixPlainText0.getCountWidth());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixPlainText0.getVisibleColCount());\n assertEquals(2, resultMatrixPlainText0.getColCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertTrue(resultMatrixPlainText0.getPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertTrue(boolean1);\n assertFalse(boolean1 == boolean0);\n \n int int1 = resultMatrixHTML0.getColCount();\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(353, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, int1);\n assertFalse(int1 == int0);\n \n int[] intArray2 = resultMatrixHTML0.getRowOrder();\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(\"HTML\", resultMatrixHTML0.getDisplayName());\n assertEquals(\"Generates the matrix output as HTML.\", resultMatrixHTML0.globalInfo());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateColNamesTipText());\n assertEquals(1, resultMatrixHTML0.getColCount());\n assertEquals(0, resultMatrixHTML0.getDefaultStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getVisibleColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixHTML0.stdDevPrecTipText());\n assertEquals(25, resultMatrixHTML0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixHTML0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixHTML0.colNameWidthTipText());\n assertTrue(resultMatrixHTML0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixHTML0.showAverageTipText());\n assertEquals(0, resultMatrixHTML0.getMeanWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixHTML0.countWidthTipText());\n assertEquals(353, resultMatrixHTML0.getRowNameWidth());\n assertEquals(0, resultMatrixHTML0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixHTML0.stdDevWidthTipText());\n assertFalse(resultMatrixHTML0.getShowAverage());\n assertFalse(resultMatrixHTML0.getDefaultRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixHTML0.meanPrecTipText());\n assertEquals(0, resultMatrixHTML0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixHTML0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixHTML0.getStdDevWidth());\n assertEquals(1, resultMatrixHTML0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixHTML0.enumerateRowNamesTipText());\n assertTrue(resultMatrixHTML0.getPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixHTML0.meanWidthTipText());\n assertEquals(2, resultMatrixHTML0.getStdDevPrec());\n assertFalse(resultMatrixHTML0.getDefaultShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixHTML0.printRowNamesTipText());\n assertFalse(resultMatrixHTML0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixHTML0.getVisibleRowCount());\n assertFalse(resultMatrixHTML0.getEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getRemoveFilterName());\n assertEquals(0, resultMatrixHTML0.getDefaultCountWidth());\n assertEquals(2, resultMatrixHTML0.getMeanPrec());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixHTML0.showStdDevTipText());\n assertFalse(resultMatrixHTML0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixHTML0.getDefaultPrintColNames());\n assertTrue(resultMatrixHTML0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixHTML0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixHTML0.rowNameWidthTipText());\n assertFalse(resultMatrixHTML0.getShowStdDev());\n assertFalse(resultMatrixHTML0.getEnumerateColNames());\n assertEquals(2, resultMatrixHTML0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixHTML0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixHTML0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixHTML0.removeFilterNameTipText());\n assertEquals(0, resultMatrixHTML0.getSignificanceWidth());\n assertNull(intArray2);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int int2 = 4741;\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(116, 4741);\n }", "void makeAnalysis(double v_min, double v_max) {\n\t\t\tfmt_result = universalFormat;\n\t\t\tdouble range = v_max - v_min;\n\t\t\tscale = 0.;\n\t\t\tif (range > 0.) {\n\t\t\t\tscale = Math.pow(10., Math.floor(1.000001 * Math.log(range) / Math.log(10.0)));\n\t\t\t}\n\t\t\tif (scale == 0.) {\n\t\t\t\tscale = 1.;\n\t\t\t\tvalue_min = -1.0;\n\t\t\t\tvalue_max = +1.0;\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tvalue_min = scale * Math.floor(v_min / scale);\n\t\t\tvalue_max = scale * Math.ceil(v_max / scale);\n\t\t\tif (value_min * value_max == 0. && (scale == Math.abs(value_max) \|\| scale == Math.abs(value_min))) {\n\t\t\t\tscale = scale / 5.0;\n\t\t\t\tvalue_min = scale * Math.floor(v_min / scale);\n\t\t\t\tvalue_max = scale * Math.ceil(v_max / scale);\n\t\t\t}\n\n\t\t\tdouble[] arr = new double[3];\n\t\t\tarr[0] = scale;\n\t\t\tarr[1] = value_min;\n\t\t\tarr[2] = value_max;\n\n\t\t\tdouble zz_max = Math.max(Math.abs(arr[1]), Math.abs(arr[2]));\n\t\t\tint nV = (int) (Math.floor(1.0001 * Math.log(zz_max) / Math.log(10.0)));\n\t\t\tif (nV >= 0) {\n\t\t\t\tnV += 1;\n\t\t\t} else {\n\t\t\t\tnV -= 1;\n\t\t\t}\n\n\t\t\tzz_max = zz_max / Math.abs(arr[0]);\n\t\t\tint nD = (int) (Math.floor(1.0001 * Math.log(zz_max) / Math.log(10.0)));\n\t\t\tif (nD >= 0) {\n\t\t\t\tnD += 1;\n\t\t\t}\n\n\t\t\t//This is for zoom, so we want to increase number of significant digits\n\t\t\tnD = nD + 1;\n\n\t\t\tif (nV >= 4) {\n\t\t\t\tint n = Math.min(4, Math.abs(nD));\n\t\t\t\tfmt_result = scientificFormats[n];\n\t\t\t\treturn;\n\t\t\t}\n\n\t\t\tif (nV > 0 && nV < 4) {\n\t\t\t\tif (nV >= nD) {\n\t\t\t\t\tfmt_result = simpleFormats[0];\n\t\t\t\t\treturn;\n\t\t\t\t} else {\n\t\t\t\t\tint n = Math.min(4, Math.abs(nV - nD));\n\t\t\t\t\tfmt_result = simpleFormats[n];\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tif (nV < 0 && nV > -4) {\n\t\t\t\tint n = Math.abs(nV) + Math.abs(nD) - 2;\n\t\t\t\tif (n <= 4) {\n\t\t\t\t\tfmt_result = simpleFormats[n];\n\t\t\t\t\treturn;\n\t\t\t\t}\n\t\t\t}\n\t\t}", "@Test\n public void computeFactor_SummerTimeMonth() {\n long startTimeUsage = DateTimeHandling\n .calculateMillis(\"2012-01-13 00:00:00\");\n long endTimeUsage = DateTimeHandling\n .calculateMillis(\"2012-04-25 23:59:59\");\n BillingInput billingInput = BillingInputFactory.newBillingInput(\n \"2012-01-01 00:00:00\", \"2012-05-01 00:00:00\");\n\n // when\n double factor = calculator.computeFactor(PricingPeriod.MONTH,\n billingInput, startTimeUsage, endTimeUsage, true, true);\n\n // then\n assertEquals(4, factor, 0);\n }", "@Test\n\tpublic void testStructureSimilarity1() {\n\t\tList<TimeSeriesSimilarityCollection> res;\n\t\tTimeSeriesSimilarityCollection r;\n\n\t\t// we are interested in measure now\n\t\tevaluator.setSimilarity(false, false, true);\n\n\t\t// add some data\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (3)\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (7)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (13)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (17)\n\t\t// @formatter:on\n\t\tloadData(\"Philipp\", 3, \"01.01.2015 00:00:00\", \"01.01.2015 01:00:00\");\n\t\tloadData(\"Philipp\", 7, \"01.01.2015 00:00:00\", \"01.01.2015 01:00:00\");\n\t\tloadData(\"Tobias\", 13, \"31.12.2015 00:00:00\", \"31.12.2015 01:00:00\");\n\t\tloadData(\"Tobias\", 17, \"31.12.2015 00:00:00\", \"31.12.2015 01:00:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS ON TIME.DEF.HOUR\", null), 1);\n\n\t\tassertEquals(1, res.size());\n\t\tr = res.get(0);\n\t\tassertEquals(0.0, r.getStructureDistance(), 0.0);\n\t\tassertEquals(0.0, r.getTotalDistance(), 0.0);\n\t\t// 1451520000000l == 31 Dec 2015 00:00:00 UTC\n\t\tassertEquals(1451520000000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\t// add some data\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (3)\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (7)\n\t\t// 01.01.15: (00:00) ++++++++++++ (02:00) Philipp (10)\n\t\t// 01.01.15: (00:00) + (00:10) Philipp (10)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (13)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (17)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (1)\n\t\t// 31.12.15: (01:01) ++++++ (02:00) Tobias (2)\n\t\t// 31.12.15: (00:00) + (00:10) Philipp (10)\n\t\t// @formatter:on\n\t\tloadData(\"Philipp\", 10, \"01.01.2015 00:00:00\", \"01.01.2015 02:00:00\");\n\t\tloadData(\"Philipp\", 10, \"01.01.2015 00:00:00\", \"01.01.2015 00:10:00\");\n\t\tloadData(\"Tobias\", 1, \"31.12.2015 00:00:00\", \"31.12.2015 02:00:00\");\n\t\tloadData(\"Tobias\", 2, \"31.12.2015 01:01:00\", \"31.12.2015 02:00:00\");\n\t\tloadData(\"Philipp\", 10, \"31.12.2015 00:00:00\", \"31.12.2015 00:10:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"MAX(SUM(IDEAS)) AS IDEAS ON TIME.DEF.HOUR\", null), 1);\n\n\t\t// assertEquals(1, res.size());\n\t\tr = res.get(0);\n\t\tassertEquals(3.2, r.getStructureDistance(), 0.0);\n\t\tassertEquals(3.2, r.getTotalDistance(), 0.0);\n\t\t// 1451520000000l == 31 Dec 2015 00:00:00 UTC\n\t\tassertEquals(1451520000000l, ((Date) r.getLabelValue(0)).getTime());\n\t}", "protected void updateScales() {\n hscale = 1f;\n vscale = 1f;\n viewData.setHscale(hscale);\n viewData.setVscale(vscale);\n }", "@Test(timeout = 4000)\n public void test121() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertNotNull(resultMatrixLatex0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.setSignificanceWidth(0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test001() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertNotNull(resultMatrixLatex0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.assign(resultMatrixLatex0);\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n // Undeclared exception!\n try { \n resultMatrixLatex0.padString((String) null, (-857));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "native void nativeSetMetricsTime(boolean is_enable);", "@Test(timeout = 4000)\n public void test036() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n assertFalse(resultMatrixLatex0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixLatex0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixLatex0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixLatex0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixLatex0.rowNameWidthTipText());\n assertEquals(2, resultMatrixLatex0.getDefaultMeanPrec());\n assertFalse(resultMatrixLatex0.getDefaultPrintColNames());\n assertTrue(resultMatrixLatex0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixLatex0.showAverageTipText());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateRowNamesTipText());\n assertFalse(resultMatrixLatex0.getDefaultShowAverage());\n assertFalse(resultMatrixLatex0.getDefaultShowStdDev());\n assertFalse(resultMatrixLatex0.getRemoveFilterName());\n assertEquals(1, resultMatrixLatex0.getVisibleRowCount());\n assertEquals(0, resultMatrixLatex0.getCountWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixLatex0.printRowNamesTipText());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixLatex0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixLatex0.colNameWidthTipText());\n assertEquals(0, resultMatrixLatex0.getColNameWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultCountWidth());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixLatex0.stdDevPrecTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getEnumerateColNames());\n assertEquals(0, resultMatrixLatex0.getRowNameWidth());\n assertTrue(resultMatrixLatex0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixLatex0.stdDevWidthTipText());\n assertFalse(resultMatrixLatex0.getShowAverage());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixLatex0.significanceWidthTipText());\n assertFalse(resultMatrixLatex0.getShowStdDev());\n assertEquals(\"Generates the matrix output in LaTeX-syntax.\", resultMatrixLatex0.globalInfo());\n assertEquals(0, resultMatrixLatex0.getStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixLatex0.removeFilterNameTipText());\n assertTrue(resultMatrixLatex0.getDefaultPrintRowNames());\n assertEquals(\"LaTeX\", resultMatrixLatex0.getDisplayName());\n assertEquals(1, resultMatrixLatex0.getRowCount());\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixLatex0.meanWidthTipText());\n assertFalse(resultMatrixLatex0.getPrintColNames());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixLatex0.printColNamesTipText());\n assertEquals(0, resultMatrixLatex0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixLatex0.getDefaultMeanWidth());\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n assertEquals(1, resultMatrixLatex0.getColCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixLatex0.showStdDevTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixLatex0.countWidthTipText());\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertNotNull(resultMatrixLatex0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n int[][] intArray0 = new int[0][1];\n // Undeclared exception!\n try { \n resultMatrixLatex0.setSummary((int[][]) null, (int[][]) null);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n public void testTimeToPayOff() {\n assertEquals(expectedResults.getMonthsToPayOff(), results.getMonthsToPayOff());\n }", "@Test(timeout = 4000)\n public void test167() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.showStdDevTipText();\n resultMatrixLatex0.getRevision();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n resultMatrixGnuPlot0.RIGHT_PARENTHESES = \")\";\n resultMatrixGnuPlot0.getDefaultRowNameWidth();\n int[] intArray0 = new int[7];\n intArray0[0] = 2;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 1;\n intArray0[4] = 0;\n intArray0[5] = 1;\n intArray0[6] = 2;\n resultMatrixLatex0.m_ColOrder = intArray0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n int[] intArray1 = new int[6];\n intArray1[0] = 0;\n intArray1[1] = 50;\n intArray1[2] = 50;\n intArray1[3] = 50;\n intArray1[4] = 2;\n intArray1[5] = 0;\n resultMatrixSignificance0.m_RankingLosses = intArray1;\n resultMatrixSignificance0.getDisplayName();\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n \n String string0 = resultMatrixLatex0.getSummaryTitle(0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"a\", string0);\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n }", "@Test\n\tpublic void testStructureSimilarity2() {\n\t\tList<TimeSeriesSimilarityCollection> res;\n\t\tTimeSeriesSimilarityCollection r;\n\n\t\t// we are interested in measure now\n\t\tevaluator.setSimilarity(false, false, true);\n\n\t\t// add some data\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (3)\n\t\t// 01.01.15: (01:01) +++ (01:30) Philipp (7)\n\t\t// 01.01.15: (01:20) ++++ (02:00) Philipp (7)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (13)\n\t\t// 31.12.15: (01:01) +++ (01:30) Tobias (17)\n\t\t// 31.12.15: (01:10) +++++ (02:00) Tobias (17)\n\t\t// @formatter:on\n\t\tloadData(\"Philipp\", 3, \"01.01.2015 00:00:00\", \"01.01.2015 01:00:00\");\n\t\tloadData(\"Philipp\", 7, \"01.01.2015 01:01:00\", \"01.01.2015 01:30:00\");\n\t\tloadData(\"Philipp\", 7, \"01.01.2015 01:20:00\", \"01.01.2015 02:00:00\");\n\t\tloadData(\"Tobias\", 13, \"31.12.2015 00:00:00\", \"31.12.2015 01:00:00\");\n\t\tloadData(\"Tobias\", 17, \"31.12.2015 01:01:00\", \"31.12.2015 01:30:00\");\n\t\tloadData(\"Tobias\", 17, \"31.12.2015 01:10:00\", \"31.12.2015 02:00:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS ON TIME.DEF.HOUR\", null), 1);\n\n\t\tassertEquals(1, res.size());\n\t\tr = res.get(0);\n\t\tassertEquals(0.0, r.getStructureDistance(), 0.0);\n\t\tassertEquals(0.0, r.getTotalDistance(), 0.0);\n\t\t// 1451520000000l == 31 Dec 2015 00:00:00 UTC\n\t\tassertEquals(1451520000000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\t// add some data\n\t\t// @formatter:off\n\t\t// 01.01.15: (00:00) ++++++ (01:00) Philipp (3)\n\t\t// 01.01.15: (01:01) +++ (01:30) Philipp (7)\n\t\t// 01.01.15: (01:20) ++++ (02:00) Philipp (7)\n\t\t// 31.12.15: (00:00) ++++++ (01:00) Tobias (13)\n\t\t// 31.12.15: (01:01) +++ (01:30) Tobias (17)\n\t\t// 31.12.15: (01:10) +++++ (02:00) Tobias (17)\n\t\t// 31.12.15: (01:30) +++ (02:00) Tobias (17)\n\t\t// @formatter:on\n\t\tloadData(\"Tobias\", 17, \"31.12.2015 01:30:00\", \"31.12.2015 02:00:00\");\n\n\t\t// get the similar once on a filtered measure level\n\t\tres = evaluator.evaluateSimilarity(\n\t\t\t\tgetQuery(\"SUM(IDEAS) AS IDEAS ON TIME.DEF.HOUR\", null), 364);\n\n\t\tassertEquals(364, res.size());\n\t\tfor (int i = 0; i < 363; i++) {\n\t\t\tr = res.get(i);\n\t\t\tassertEquals(3.0, r.getStructureDistance(), 0.0);\n\t\t\tassertEquals(3.0, r.getTotalDistance(), 0.0);\n\t\t}\n\t\tr = res.get(363);\n\t\tassertEquals(3.5, r.getStructureDistance(), 0.0);\n\t\tassertEquals(3.5, r.getTotalDistance(), 0.0);\n\t\t// 1451520000000l == 31 Dec 2015 00:00:00 UTC\n\t\tassertEquals(1451520000000l, ((Date) r.getLabelValue(0)).getTime());\n\n\t\tfor (TimeSeriesSimilarityCollection a : res) {\n\t\t\tSystem.out.println((Date) a.getLabelValue(0));\n\t\t\tSystem.out.println(a);\n\t\t}\n\t}", "int getWrongScale();", "@Test\n public void DataSmoothTest52() {\n\t LinkedList<Double> runtimes5 = D2.dataSmooth(shows5);\n\t \n\t for(int i = 0; i < runtimes5.size(); i++) {\n\t\t assertEquals(runtimes5.get(i), showResults5.get(i), 0.01);\n\t }\n}", "@Test\n public void test42() throws Throwable {\n CategoryPlot categoryPlot0 = new CategoryPlot();\n categoryPlot0.mapDatasetToDomainAxis(3699, 2);\n }", "@Test(timeout = 4000)\n public void test072() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[][] intArray0 = new int[7][8];\n String[] stringArray0 = new String[3];\n stringArray0[0] = \"*\";\n stringArray0[1] = \" \";\n stringArray0[2] = \" \";\n resultMatrixGnuPlot0.m_RowNames = stringArray0;\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(3, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n \n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray0[1] = intArray2;\n int[] intArray3 = new int[0];\n assertFalse(intArray3.equals((Object)intArray1));\n assertFalse(intArray3.equals((Object)intArray2));\n \n intArray0[2] = intArray3;\n int[] intArray4 = new int[6];\n assertFalse(intArray4.equals((Object)intArray3));\n assertFalse(intArray4.equals((Object)intArray1));\n assertFalse(intArray4.equals((Object)intArray2));\n \n intArray4[1] = 0;\n intArray4[2] = 2;\n intArray4[3] = 0;\n intArray4[4] = 2;\n intArray4[5] = 0;\n intArray0[3] = intArray4;\n int[] intArray5 = new int[0];\n assertFalse(intArray5.equals((Object)intArray2));\n assertFalse(intArray5.equals((Object)intArray3));\n assertFalse(intArray5.equals((Object)intArray1));\n assertFalse(intArray5.equals((Object)intArray4));\n \n intArray0[4] = intArray5;\n int[] intArray6 = new int[3];\n assertFalse(intArray6.equals((Object)intArray1));\n assertFalse(intArray6.equals((Object)intArray5));\n assertFalse(intArray6.equals((Object)intArray4));\n assertFalse(intArray6.equals((Object)intArray3));\n assertFalse(intArray6.equals((Object)intArray2));\n \n intArray6[1] = 1;\n intArray6[2] = 2;\n intArray0[5] = intArray6;\n int[] intArray7 = new int[2];\n assertFalse(intArray7.equals((Object)intArray1));\n assertFalse(intArray7.equals((Object)intArray4));\n assertFalse(intArray7.equals((Object)intArray3));\n assertFalse(intArray7.equals((Object)intArray2));\n assertFalse(intArray7.equals((Object)intArray5));\n assertFalse(intArray7.equals((Object)intArray6));\n \n intArray7[0] = 1;\n String string0 = resultMatrixGnuPlot0.printColNamesTipText();\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(3, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertNotNull(string0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Whether to output column names or just numbers representing them.\", string0);\n \n intArray7[1] = 2;\n intArray0[6] = intArray7;\n resultMatrixGnuPlot0.setRanking(intArray0);\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(3, resultMatrixGnuPlot0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(7, intArray0.length);\n \n // Undeclared exception!\n resultMatrixGnuPlot0.setSize(1922, 1922);\n }" ]	[ "0.67707103", "0.5704444", "0.56631225", "0.5550392", "0.54328597", "0.5394308", "0.5354964", "0.53236526", "0.5302289", "0.529369", "0.5253898", "0.5223866", "0.51758033", "0.51659596", "0.509053", "0.50608116", "0.505263", "0.5034298", "0.5030427", "0.50275004", "0.50203604", "0.50173634", "0.5014512", "0.50037676", "0.49955252", "0.49629387", "0.49570754", "0.4955999", "0.49550098", "0.49544513", "0.49524623", "0.49433467", "0.49427584", "0.49356133", "0.49335346", "0.49296346", "0.49218777", "0.49081853", "0.4905842", "0.49004012", "0.48772317", "0.48756862", "0.4832964", "0.4823839", "0.4814806", "0.4811961", "0.48116022", "0.4796154", "0.47927564", "0.4782694", "0.47733235", "0.47683048", "0.47622615", "0.47597915", "0.47594956", "0.47467107", "0.47419417", "0.4733762", "0.47323474", "0.4727345", "0.4715717", "0.47103715", "0.47051713", "0.4699967", "0.4699058", "0.46989727", "0.469681", "0.46962905", "0.46944174", "0.46930164", "0.46926713", "0.46925363", "0.46921661", "0.46907985", "0.46906394", "0.46833622", "0.4680034", "0.46790293", "0.46737018", "0.46717152", "0.46710575", "0.46704313", "0.4668562", "0.46673808", "0.4662711", "0.46601674", "0.4659303", "0.46571422", "0.46489826", "0.46449667", "0.46439272", "0.46430975", "0.46405837", "0.4636521", "0.4629432", "0.4620726", "0.4610619", "0.46059483", "0.46058676", "0.46042895" ]	0.7918428	0
Test of metastableStates method, of class MarkovModelUtilities.	@Test public void testMetastableStates() { IDoubleArray M = null; int nstates = 0; MarkovModelUtilities instance = new MarkovModelUtilities(); IIntArray expResult = null; IIntArray result = instance.metastableStates(M, nstates); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n\tpublic void testGetState() {\r\n\t}", "@Test\n public void stateExample3() {\n MarbleSolitaireModel exampleBoard = new MarbleSolitaireModelImpl(2, 4);\n assertEquals(\" O O O\\n\"\n + \" O O O\\n\"\n + \"O O O O _ O O\\n\"\n + \"O O O O O O O\\n\"\n + \"O O O O O O O\\n\"\n + \" O O O\\n\"\n + \" O O O\", exampleBoard.getGameState());\n }", "@Test\n public void stateExample2() {\n MarbleSolitaireModel exampleBoard = new MarbleSolitaireModelImpl();\n assertEquals(\" O O O\\n\"\n + \" O O O\\n\"\n + \"O O O O O O O\\n\"\n + \"O O O _ O O O\\n\"\n + \"O O O O O O O\\n\"\n + \" O O O\\n\"\n + \" O O O\", exampleBoard.getGameState());\n }", "@Test\n public void stateExample1() {\n MarbleSolitaireModel exampleBoard = new MarbleSolitaireModelImpl(5);\n assertEquals(\" O O O O O\\n\"\n + \" O O O O O\\n\"\n + \" O O O O O\\n\"\n + \" O O O O O\\n\"\n + \"O O O O O O O O O O O O O\\n\"\n + \"O O O O O O O O O O O O O\\n\"\n + \"O O O O O O _ O O O O O O\\n\"\n + \"O O O O O O O O O O O O O\\n\"\n + \"O O O O O O O O O O O O O\\n\"\n + \" O O O O O\\n\"\n + \" O O O O O\\n\"\n + \" O O O O O\\n\"\n + \" O O O O O\", exampleBoard.getGameState());\n }", "@Test\n public void stateExample4() {\n MarbleSolitaireModel exampleBoard =\n new MarbleSolitaireModelImpl(3, 2, 4);\n assertEquals(\" O O O\\n\"\n + \" O O O\\n\"\n + \"O O O O _ O O\\n\"\n + \"O O O O O O O\\n\"\n + \"O O O O O O O\\n\"\n + \" O O O\\n\"\n + \" O O O\", exampleBoard.getGameState());\n }", "@Test\n public void Test_Maintain_State() {\n Map<String, Integer> inMap = new HashMap<>();\n calc = new StomaStateCalculator(3, 800);\n\n inMap.put(\"UrineColour\", 2);\n inMap.put(\"UrineFrequency\", 3);\n inMap.put(\"Volume\", 600);\n inMap.put(\"Consistency\", 2);\n inMap.put(\"PhysicalCharacteristics\", 6);\n\n assertEquals(\"Green\", calc.getState());\n assertEquals(3.0, calc.getStateVal(), 0.0);\n\n calc.Calculate_New_State(inMap);\n\n assertEquals(\"Green\", calc.getState());\n assertEquals(3.0, calc.getStateVal(), 0.0);\n }", "public void testEquals() throws Exception {\n State state1 = new State();\n state1.setCanJump(1);\n state1.setDirection(1);\n state1.setGotHit(1);\n state1.setHeight(1);\n state1.setMarioMode(1);\n state1.setOnGround(1);\n state1.setEnemiesSmall(new boolean[3]);\n state1.setObstacles(new boolean[4]);\n state1.setDistance(1);\n state1.setStuck(1);\n\n State state2 = new State();\n state2.setCanJump(1);\n state2.setDirection(1);\n state2.setGotHit(1);\n state2.setHeight(1);\n state2.setMarioMode(1);\n state2.setOnGround(1);\n state2.setEnemiesSmall(new boolean[3]);\n state2.setObstacles(new boolean[4]);\n state2.setStuck(1);\n\n State state3 = new State();\n state3.setCanJump(1);\n state3.setDirection(1);\n state3.setGotHit(1);\n state3.setHeight(1);\n state3.setMarioMode(2);\n state3.setOnGround(1);\n state3.setEnemiesSmall(new boolean[3]);\n state3.setObstacles(new boolean[4]);\n assertEquals(state1,state2);\n assertTrue(state1.equals(state2));\n assertFalse(state1.equals(state3));\n Set<State> qTable = new HashSet<State>();\n qTable.add(state1);\n qTable.add(state2);\n assertEquals(1,qTable.size());\n qTable.add(state3);\n assertEquals(2,qTable.size());\n\n }", "@Test\n //checks for state switching (on/off)\n void SwitchStates() {\n Assertions.assertFalse(machine.isTurnedOn());\n\n //then, switch on and check if on\n machine.setTurnedOn(true);\n Assertions.assertTrue(machine.isTurnedOn());\n\n //switch off to see if turned off correctly\n machine.setTurnedOn(false);\n Assertions.assertFalse(machine.isTurnedOn());\n\n //and now check the inversion\n machine.flipSwitch();\n\n Assertions.assertTrue(machine.isTurnedOn());\n }", "@Test\n public void stateExample2() {\n MarbleSolitaireModel exampleBoard = new TriangleSolitaireModelImpl(7);\n assertEquals(\" _\\n\" +\n \" O O\\n\" +\n \" O O O\\n\" +\n \" O O O O\\n\" +\n \" O O O O O\\n\" +\n \" O O O O O O\\n\" +\n \"O O O O O O O\", exampleBoard.getGameState());\n }", "@Test\n\tpublic void testInitStatesListGameContainer() {\n\t}", "@Test\n public void stateExample1() {\n MarbleSolitaireModel exampleBoard = new TriangleSolitaireModelImpl();\n assertEquals(\" _\\n\" +\n \" O O\\n\" +\n \" O O O\\n\" +\n \" O O O O\\n\" +\n \"O O O O O\", exampleBoard.getGameState());\n }", "@Test\n\tpublic void validState_changeState() {\n\t\tString testState = \"OFF\";\n\t\tItem testItem = new Item().createItemFromItemName(\"lamp_woonkamer\");\n\t\ttestItem.changeState(testItem.getName(), testState);\n\t\tSystem.out.println(testItem.getState());\n\t\tassertEquals(testItem.getState(), testState);\n\t\t\n\t}", "@Test\n public void stateExample4() {\n MarbleSolitaireModel exampleBoard =\n new TriangleSolitaireModelImpl(7, 6, 6);\n assertEquals(\" O\\n\" +\n \" O O\\n\" +\n \" O O O\\n\" +\n \" O O O O\\n\" +\n \" O O O O O\\n\" +\n \" O O O O O O\\n\" +\n \"O O O O O O _\", exampleBoard.getGameState());\n }", "@Test\n public void stateExample3() {\n MarbleSolitaireModel exampleBoard = new TriangleSolitaireModelImpl(3, 1);\n assertEquals(\" O\\n\" +\n \" O O\\n\" +\n \" O O O\\n\" +\n \" O _ O O\\n\" +\n \"O O O O O\", exampleBoard.getGameState());\n }", "void mo15871a(StateT statet);", "@SuppressWarnings(\"unchecked\")\n private StateMetadata<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>[] createStateMetadataTable() {\n metadata0eol_metadata0reduceeoi_eol = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.eol,reduceeoi_eol);\n metadata0instr_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.instr,null);\n metadata0lpar_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.lpar,null);\n metadata0rcurl_metadata0reduceexpr_map = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.rcurl,reduceexpr_map);\n metadata0expr_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.expr,null);\n metadata0rpar_metadata0reduceexpr_parens = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.rpar,reduceexpr_parens);\n metadata0block_metadata0reduceblock_param_lambda = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.block,reduceblock_param_lambda);\n metadata0id_metadata0reduceexpr_field_access = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.id,reduceexpr_field_access);\n metadata0dot_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.dot,null);\n metadata0le_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.le,null);\n metadata0block_param_optional_8_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.block_param_optional_8,null);\n metadata0parameter_metadata0reduceparameter_star_4_rec = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.parameter,reduceparameter_star_4_rec);\n metadata0expr_star_9_sub_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.expr_star_9_sub,null);\n metadata0plus_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.plus,null);\n metadata0rpar_metadata0reduceexpr_mthcall = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.rpar,reduceexpr_mthcall);\n metadata0comma_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.comma,null);\n metadata0quote_metadata0reduceselector_quote = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.quote,reduceselector_quote);\n metadata0null_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(null,null);\n metadata0id_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.id,null);\n metadata0parameter_metadata0reduceparameter_star_3_rec = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.parameter,reduceparameter_star_3_rec);\n metadata0_while_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum._while,null);\n metadata0instrs_metadata0reduceinstrs_optional_0_instrs = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.instrs,reduceinstrs_optional_0_instrs);\n metadata0block_metadata0reduceblock_param_block = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.block,reduceblock_param_block);\n metadata0instrs_metadata0reduceinstrs_rec = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.instrs,reduceinstrs_rec);\n metadata0slash_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.slash,null);\n metadata0entry_metadata0reduceentry_star_10_element = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.entry,reduceentry_star_10_element);\n metadata0_return_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum._return,null);\n metadata0parameter_star_3_sub_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.parameter_star_3_sub,null);\n metadata0ropt_metadata0reduceexpr_list = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.ropt,reduceexpr_list);\n metadata0pipe_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.pipe,null);\n metadata0instrs_optional_0_metadata0reducescript = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.instrs_optional_0,reducescript);\n metadata0instrs_optional_2_metadata0reduceblock = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.instrs_optional_2,reduceblock);\n metadata0quote_metadata0reduceentry_hint_quote = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.quote,reduceentry_hint_quote);\n metadata0parameter_metadata0reduceparameter_star_3_element = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.parameter,reduceparameter_star_3_element);\n metadata0expr_star_7_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.expr_star_7,null);\n metadata0id_metadata0reduceparameter_hint_id_id = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.id,reduceparameter_hint_id_id);\n metadata0at_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.at,null);\n metadata0parameter_star_3_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.parameter_star_3,null);\n metadata0repl_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.repl,null);\n metadata0bang_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.bang,null);\n metadata0rpar_metadata0reduceexpr_funcall = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.rpar,reduceexpr_funcall);\n metadata0ge_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.ge,null);\n metadata0lt_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.lt,null);\n metadata0parameter_metadata0reduceparameter_star_4_element = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.parameter,reduceparameter_star_4_element);\n metadata0parameter_star_4_sub_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.parameter_star_4_sub,null);\n metadata0doc_plus_1_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.doc_plus_1,null);\n metadata0doc_metadata0reducedoc_plus_1_rec = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.doc,reducedoc_plus_1_rec);\n metadata0entry_star_10_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.entry_star_10,null);\n metadata0quote_metadata0reduceexpr_quote = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.quote,reduceexpr_quote);\n metadata0aslash_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.aslash,null);\n metadata0entry_star_10_sub_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.entry_star_10_sub,null);\n metadata0minus_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.minus,null);\n metadata0expr_star_7_sub_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.expr_star_7_sub,null);\n metadata0mod_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.mod,null);\n metadata0expr_star_9_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.expr_star_9,null);\n metadata0eq_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.eq,null);\n metadata0ne_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.ne,null);\n metadata0rpar_metadata0reduceexpr_while = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.rpar,reduceexpr_while);\n metadata0_throw_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum._throw,null);\n metadata0selector_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.selector,null);\n metadata0instrs_metadata0reduceinstrs_optional_2_instrs = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.instrs,reduceinstrs_optional_2_instrs);\n metadata0semicolon_metadata0reduceeoi_semi = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.semicolon,reduceeoi_semi);\n metadata0gt_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.gt,null);\n metadata0script_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.script,null);\n metadata0value_metadata0reduceexpr_value = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.value,reduceexpr_value);\n metadata0lcurl_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.lcurl,null);\n metadata0expr_star_5_sub_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.expr_star_5_sub,null);\n metadata0_if_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum._if,null);\n metadata0colon_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.colon,null);\n metadata0rpar_metadata0reduceexpr_ifelse = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.rpar,reduceexpr_ifelse);\n metadata0eoi_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.eoi,null);\n metadata0block_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.block,null);\n metadata0doc_metadata0reducedoc_plus_1_element = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.doc,reducedoc_plus_1_element);\n metadata0id_metadata0reduceselector_id = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.id,reduceselector_id);\n metadata0star_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.star,null);\n metadata0block_param_optional_6_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.block_param_optional_6,null);\n metadata0assign_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.assign,null);\n metadata0block_param_metadata0reduceblock_param_optional_8_block_param = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.block_param,reduceblock_param_optional_8_block_param);\n metadata0rpar_metadata0reduceexpr_block = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.rpar,reduceexpr_block);\n metadata0id_metadata0reduceparameter_hint_quote_id = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.id,reduceparameter_hint_quote_id);\n metadata0lopt_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.lopt,null);\n metadata0entry_metadata0reduceentry_star_10_rec = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.entry,reduceentry_star_10_rec);\n metadata0quote_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.quote,null);\n metadata0id_metadata0reduceentry_hint_id = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.id,reduceentry_hint_id);\n metadata0parameter_star_4_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.parameter_star_4,null);\n metadata0__eof___metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.__eof__,null);\n metadata0text_metadata0reduceexpr_text = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.text,reduceexpr_text);\n metadata0block_param_metadata0reduceblock_param_optional_6_block_param = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.block_param,reduceblock_param_optional_6_block_param);\n metadata0rpar_metadata0reduceexpr_if = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithTerminal(TerminalEnum.rpar,reduceexpr_if);\n metadata0expr_star_5_metadata0null = StateMetadata.<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>createAllVersionWithNonTerminal(NonTerminalEnum.expr_star_5,null);\n\n return (StateMetadata<TerminalEnum,NonTerminalEnum,ProductionEnum,VersionEnum>[])new StateMetadata<?,?,?,?>[]{metadata0null_metadata0null,metadata0lpar_metadata0null,metadata0minus_metadata0null,metadata0_while_metadata0null,metadata0lpar_metadata0null,metadata0lopt_metadata0null,metadata0quote_metadata0reduceexpr_quote,metadata0plus_metadata0null,metadata0text_metadata0reduceexpr_text,metadata0at_metadata0null,metadata0id_metadata0reduceexpr_field_access,metadata0value_metadata0reduceexpr_value,metadata0lcurl_metadata0null,metadata0bang_metadata0null,metadata0id_metadata0null,metadata0assign_metadata0null,metadata0_if_metadata0null,metadata0lpar_metadata0null,metadata0aslash_metadata0null,metadata0lpar_metadata0null,metadata0quote_metadata0null,metadata0id_metadata0reduceparameter_hint_quote_id,metadata0id_metadata0null,metadata0id_metadata0reduceparameter_hint_id_id,metadata0parameter_star_4_metadata0null,metadata0colon_metadata0null,metadata0doc_metadata0reducedoc_plus_1_element,metadata0_return_metadata0null,metadata0expr_metadata0null,metadata0eq_metadata0null,metadata0expr_metadata0null,metadata0lpar_metadata0null,metadata0expr_star_5_metadata0null,metadata0pipe_metadata0null,metadata0parameter_star_3_metadata0null,metadata0colon_metadata0null,metadata0_throw_metadata0null,metadata0expr_metadata0null,metadata0minus_metadata0null,metadata0expr_metadata0null,metadata0lt_metadata0null,metadata0expr_metadata0null,metadata0ne_metadata0null,metadata0expr_metadata0null,metadata0dot_metadata0null,metadata0quote_metadata0reduceselector_quote,metadata0id_metadata0reduceselector_id,metadata0selector_metadata0null,metadata0lpar_metadata0null,metadata0expr_star_7_metadata0null,metadata0colon_metadata0null,metadata0instrs_optional_2_metadata0reduceblock,metadata0expr_metadata0null,metadata0slash_metadata0null,metadata0expr_metadata0null,metadata0star_metadata0null,metadata0expr_metadata0null,metadata0ge_metadata0null,metadata0expr_metadata0null,metadata0plus_metadata0null,metadata0expr_metadata0null,metadata0le_metadata0null,metadata0expr_metadata0null,metadata0gt_metadata0null,metadata0expr_metadata0null,metadata0mod_metadata0null,metadata0expr_metadata0null,metadata0doc_plus_1_metadata0null,metadata0doc_metadata0reducedoc_plus_1_rec,metadata0expr_metadata0null,metadata0instrs_metadata0reduceinstrs_optional_2_instrs,metadata0block_metadata0reduceblock_param_block,metadata0instr_metadata0null,metadata0eol_metadata0reduceeoi_eol,metadata0semicolon_metadata0reduceeoi_semi,metadata0eoi_metadata0null,metadata0instrs_metadata0reduceinstrs_rec,metadata0block_param_metadata0reduceblock_param_optional_8_block_param,metadata0block_param_optional_8_metadata0null,metadata0rpar_metadata0reduceexpr_mthcall,metadata0expr_metadata0null,metadata0expr_star_7_sub_metadata0null,metadata0comma_metadata0null,metadata0expr_metadata0null,metadata0block_metadata0reduceblock_param_lambda,metadata0parameter_star_3_sub_metadata0null,metadata0comma_metadata0null,metadata0parameter_metadata0reduceparameter_star_3_rec,metadata0parameter_metadata0reduceparameter_star_3_element,metadata0block_param_optional_6_metadata0null,metadata0rpar_metadata0reduceexpr_funcall,metadata0block_param_metadata0reduceblock_param_optional_6_block_param,metadata0expr_metadata0null,metadata0expr_star_5_sub_metadata0null,metadata0comma_metadata0null,metadata0expr_metadata0null,metadata0block_metadata0null,metadata0rpar_metadata0reduceexpr_block,metadata0parameter_metadata0reduceparameter_star_4_element,metadata0parameter_star_4_sub_metadata0null,metadata0comma_metadata0null,metadata0parameter_metadata0reduceparameter_star_4_rec,metadata0expr_metadata0null,metadata0colon_metadata0null,metadata0block_metadata0null,metadata0rpar_metadata0reduceexpr_if,metadata0colon_metadata0null,metadata0block_metadata0null,metadata0rpar_metadata0reduceexpr_ifelse,metadata0expr_metadata0null,metadata0expr_metadata0null,metadata0entry_star_10_metadata0null,metadata0rcurl_metadata0reduceexpr_map,metadata0expr_metadata0null,metadata0colon_metadata0null,metadata0expr_metadata0null,metadata0quote_metadata0reduceentry_hint_quote,metadata0id_metadata0reduceentry_hint_id,metadata0entry_metadata0reduceentry_star_10_element,metadata0entry_star_10_sub_metadata0null,metadata0comma_metadata0null,metadata0entry_metadata0reduceentry_star_10_rec,metadata0expr_metadata0null,metadata0expr_star_9_sub_metadata0null,metadata0comma_metadata0null,metadata0expr_metadata0null,metadata0expr_metadata0null,metadata0expr_star_9_metadata0null,metadata0ropt_metadata0reduceexpr_list,metadata0expr_metadata0null,metadata0colon_metadata0null,metadata0block_metadata0null,metadata0rpar_metadata0reduceexpr_while,metadata0expr_metadata0null,metadata0expr_metadata0null,metadata0rpar_metadata0reduceexpr_parens,metadata0repl_metadata0null,metadata0__eof___metadata0null,metadata0eoi_metadata0null,metadata0expr_metadata0null,metadata0expr_metadata0null,metadata0null_metadata0null,metadata0script_metadata0null,metadata0__eof___metadata0null,metadata0instrs_optional_0_metadata0reducescript,metadata0instrs_metadata0reduceinstrs_optional_0_instrs};\n }", "protected abstract int numStates();", "@Test\r\n\tvoid testSetIsLate() {\r\n\t\tSortedList list = new SortedList(\"List\");\r\n\t\tToDoItem newItem1 = new ToDoItem(\"Item 1\", \"2/6/21\", 1, \"Body text 1\"); // late (written on 2/9/21)\r\n\t\tToDoItem newItem2 = new ToDoItem(\"Item 2\", \"2/6/22\", 1, \"Body text 1\"); // not late\r\n\r\n\t\tif (newItem1.getIsLate() != true) {\r\n\t\t\tfail(\"Is late is wrong1\");\r\n\t\t}\r\n\t\tif (newItem2.getIsLate() != false) {\r\n\t\t\tfail(\"Is late is wrong2\");\r\n\t\t}\r\n\t}", "public static boolean testPokemomGetSet() {\r\n Pokemon inst = new Pokemon(\"name\", \"type1\", \"type2\", 2, 3, 4, 5, 6, 7, 8, false, false);\r\n if (!Objects.equals(inst.getName(), \"name\") \|\| !Objects.equals(inst.getType1(), \"type1\")\r\n \|\| !Objects.equals(inst.getType2(), \"type2\") \|\| !Objects.equals(inst.getHp(), 2)\r\n \|\| !Objects.equals(inst.getAttack(), 3) \|\| !Objects.equals(inst.getDefense(), 4)\r\n \|\| !Objects.equals(inst.getSpAttack(), 5) \|\| !Objects.equals(inst.getSpDefense(), 6)\r\n \|\| !Objects.equals(inst.getSpeed(), 7) \|\| !Objects.equals(inst.getTotal(), 8)\r\n \|\| !Objects.equals(inst.isLegendary(), false) \|\| !Objects\r\n .equals(inst.getFavorite(), false)) {\r\n return false;\r\n }\r\n inst.setName(\"sName\");\r\n inst.setType1(\"ttype1\");\r\n inst.setType2(\"ttype2\");\r\n inst.setHp(11);\r\n inst.setAttack(10);\r\n inst.setDefense(33);\r\n inst.setSpAttack(44);\r\n inst.setSpDefense(41);\r\n inst.setSpeed(1);\r\n inst.setTotal(222);\r\n inst.setLegendary(true);\r\n inst.setFavorite(true);\r\n if (!Objects.equals(inst.getName(), \"sName\") \|\| !Objects.equals(inst.getType1(), \"ttype1\")\r\n \|\| !Objects.equals(inst.getType2(), \"ttype2\") \|\| !Objects.equals(inst.getHp(), 11)\r\n \|\| !Objects.equals(inst.getAttack(), 10) \|\| !Objects.equals(inst.getDefense(), 33)\r\n \|\| !Objects.equals(inst.getSpAttack(), 44) \|\| !Objects.equals(inst.getSpDefense(), 41)\r\n \|\| !Objects.equals(inst.getSpeed(), 1) \|\| !Objects.equals(inst.getTotal(), 222)\r\n \|\| !Objects.equals(inst.isLegendary(), true) \|\| !Objects\r\n .equals(inst.getFavorite(), true)) {\r\n return false;\r\n }\r\n return true;\r\n }", "@Test\n\tpublic void testRepeatibleDynamics() throws IOException, PropertiesException {\n\n\t\t\n\t\t// INSTANTIATE benchmark \n\t\tProperties props = PropertiesUtil.setpointProperties(new File (\"src/main/resources/sim.properties\"));\n\t\tSetPointGenerator lg = new SetPointGenerator (props);\n\t\tList<ExternalDriver> externalDrivers = new ArrayList<ExternalDriver>();\n\t\texternalDrivers.add(lg);\n\t\tIndustrialBenchmarkDynamics d = new IndustrialBenchmarkDynamics (props, externalDrivers);\n\t\tRandom actionRand = new Random(System.currentTimeMillis());\n \n // 1) do 100000 random steps, in order to initialize dynamics\n\t\tfinal ActionDelta action = new ActionDelta(0.001f, 0.001f, 0.001f); \n\t\tfor (int i=0; i<INIT_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t}\n\t\t\n\t\t// 2) memorize current observable state and current markov state\n\t\tfinal ObservableState os = d.getState();\n\t\tfinal DataVector ms = d.getInternalMarkovState();\n\t\tSystem.out.println (\"init o-state: \" + os.toString());\n\t\tSystem.out.println (\"init m-state: \" + ms.toString());\n\t\t\n\t\t\n\t\t// 3) perform test trajectory and memorize states\n\t\tactionRand.setSeed(ACTION_SEED);\n\t\tDataVector oStates[] = new DataVector[MEM_STEPS];\n\t\tDataVector mStates[] = new DataVector[MEM_STEPS];\n\t\t\t\t\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t\toStates[i] = d.getState();\n\t\t\tmStates[i] = d.getInternalMarkovState();\n\t\t}\n\t\t\n\t\t// 4) reset dynamics & parameters and internal markov state\n\t\td.reset();\n\t\td.setInternalMarkovState(ms);\n\t\t\n\t\t// 5) reperform test and check if values are consistent\n\t\tactionRand.setSeed(ACTION_SEED); // reproduce action sequence\n\t\tDataVector oState = null;\n\t\tDataVector mState = null;\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\t\n\t\t\td.step(action);\n\t\t\toState = d.getState();\n\t\t\tmState = d.getInternalMarkovState();\n\t\t\t\n\t\t\t// check observable state\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.SetPoint), oState.getValue(ObservableStateDescription.SetPoint), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Fatigue), oState.getValue(ObservableStateDescription.Fatigue), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Consumption), oState.getValue(ObservableStateDescription.Consumption), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.RewardTotal), oState.getValue(ObservableStateDescription.RewardTotal), 0.0001);\n\n\t\t\t// \n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.CurrentOperationalCost), mState.getValue(MarkovianStateDescription.CurrentOperationalCost), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent2), mState.getValue(MarkovianStateDescription.FatigueLatent2), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent1), mState.getValue(MarkovianStateDescription.FatigueLatent1), 0.0001);\n\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionGainBeta), mState.getValue(MarkovianStateDescription.EffectiveActionGainBeta), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), mState.getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveShift), mState.getValue(MarkovianStateDescription.EffectiveShift), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.MisCalibration), mState.getValue(MarkovianStateDescription.MisCalibration), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), mState.getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardFatigue), mState.getValue(MarkovianStateDescription.RewardFatigue), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardConsumption), mState.getValue(MarkovianStateDescription.RewardConsumption), 0.0001);\n\t\t}\n\t\t\n\t\tSystem.out.println (\"last o-state 1st trajectory: \" + oStates[oStates.length-1]);\n\t\tSystem.out.println (\"last o-state 2nd trajectory: \" + oState);\n\t\t\n\t\tSystem.out.println (\"last m-state 1st trajectory: \" + mStates[oStates.length-1]);\n\t\tSystem.out.println (\"last m-state 2nd trajectory: \" + mState);\n\t}", "@Test\n public void testGameStateStack_OnMenu(){\n\n System.out.println(gsm.getCurrentState());\n }", "@Test\n public void testConstructor() {\n try {\n new File(\"./data/testemostate4.txt\").delete();\n new File(\"./data/testemostate5.txt\").delete();\n } catch (Exception e) {\n ;\n }\n try {\n AveragedEmotionalState avgEmoState = new AveragedEmotionalState(\"./data/\", \"testemostate\");\n ArrayList<Emotion> moodVector = avgEmoState.getMoodVector();\n assertEquals(10, moodVector.get(0).getScaleValue());\n assertEquals(0, moodVector.get(1).getScaleValue());\n assertEquals(20, moodVector.get(2).getScaleValue());\n assertEquals(100, moodVector.get(3).getScaleValue());\n } catch (NoRecordedEmotionalStates e) {\n fail(\"Should be three emotional states for constructor to load so should not fail.\");\n }\n }", "@Test\n\tpublic void shouldListStates() {\n\t\tRoleDTO role = workflowStub.assignRole(app, user, formDto);\n\t\n\t\t// Creamos estados con el mismo rol\n\t\tnewState(formDto, \"state1\", role);\n\t\tnewState(formDto, \"state2\", role);\n\t\tnewState(formDto, \"state3\", role);\n\t\t\n\t\tList<State> states = stateService.listStatesForUser(user, formDto);\n\t\tAssert.assertNotNull(\"List of states should NOT be null\", states);\n\t\tAssert.assertEquals(\"List should have the expected size\", 3, states.size());\n\t}", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testGameStateStack_OnPlayState(){\n\n System.out.println(gsm.getCurrentState());\n }", "public abstract int numStates();", "public IBlockState getStateFromMeta(int meta) {\n/ 113 / return getDefaultState().withProperty((IProperty)VARIANT_PROP, EnumType.func_176879_a(meta));\n/ / }", "public void testGetAbbr() {\r\n assertEquals(test1.getStateAbbr(), \"VM\");\r\n }", "@Test\n\tpublic void testKeyedMapStateAsIs() throws Exception {\n\t\tfinal String stateName = \"test-name\";\n\n\t\ttestKeyedMapStateUpgrade(\n\t\t\tnew MapStateDescriptor<>(\n\t\t\t\tstateName,\n\t\t\t\tIntSerializer.INSTANCE,\n\t\t\t\tnew TestType.V1TestTypeSerializer()),\n\t\t\tnew MapStateDescriptor<>(\n\t\t\t\tstateName,\n\t\t\t\tIntSerializer.INSTANCE,\n\t\t\t\tnew TestType.V1TestTypeSerializer()));\n\t}", "public interface StateConditionTestIterable extends StateConditionTest, Iterable<State> {\n\t/\n\t * This method is used to set the state context to enumerate over states.\n\t * This is useful because typically a state test is independent of other state objects\n\t * and calling this method can be used to set the context of those variables and over which to enumerate\n\t /\n\tpublic void setStateContext(State s); \n}", "@Test\n public void Create_A_Live_Cell()\n {\n GameCell cell = new GameCell();\n cell.setState(1);\n Assert.assertEquals(1, cell.getState());\n }", "private AutomatonFromTable automatonFromTable() {\n \tAutomatonFromTable hypothesis = new AutomatonFromTable(inputs);\n\t\t/\n\t\t * Number of new states in the hypothesis is the \n\t\t * number of distinct rows in the upper half of the observation table\n\t\t /\n\t\tint noOfNewStates = -1;\n\t\tList<List<String>> distinctStates = new ArrayList<>();\n\t\tIterator<Entry<String, List<String>>> it = observationTableUpper.entrySet().iterator();\n\t\twhile(it.hasNext()){\n\t\t\tMap.Entry<String, List<String>> entry = (Map.Entry<String, List<String>>)it.next();\n\t\t\tdistinctStates.add(entry.getValue());\n\t\t}\n\t\tnoOfNewStates = new HashSet<>(distinctStates).size();\n\t\t//Adding those many number of states\n\t\tfor(int i=0;i<noOfNewStates;i++){\n\t\t\tif(i==0){\n\t\t\t\thypothesis.addInitialState();\n\t\t\t}else{\n\t\t\t\thypothesis.addState();\n\t\t\t}\n\t\t}\n\t\t\n\t\tSystem.out.println(\"No.of new states \"+noOfNewStates);\n\t\t\n\t\t\n\t\tList<Transition> prefixStateMap = new ArrayList<>();\n\t\t\n\t\t//Adding the transitions for those states\n\t\tit = observationTableUpper.entrySet().iterator();\n\t\tSystem.out.println(\"Upper table size \"+observationTableUpper);\n\t\tint currentMaxState = 0;\n\t\twhile(it.hasNext()){\n\t\t\tMap.Entry<String, List<String>> entry = (Map.Entry<String, List<String>>)it.next();\n\t\t\tString prefix = entry.getKey();\n\t\t\tList<String> results = entry.getValue();\n\t\t\tint currentState = getCurrentState(prefix, prefixStateMap);\n\t\t\tSystem.out.println(\"Current State \"+currentState);\n\t\t\tint nextState;\n\t\t\tif(prefix.contains(\"<>\")){\n\t\t\t\tfor(int i=0;i<results.size();i=i+2){\n\t\t\t\t\tTransition transitionDetails = new Transition();\n\t\t\t\t\ttransitionDetails.setPrefix(prefix);\n\t\t\t\t\ttransitionDetails.setInput(results.get(i));\n\t\t\t\t\ttransitionDetails.setOutput(results.get(i+1));\n\t\t\t\t\ttransitionDetails.setCurrentState(currentState);\n\t\t\t\t\tnextState = ++currentMaxState;\n\t\t\t\t\ttransitionDetails.setNextState(nextState);\n\t\t\t\t\tprefixStateMap.add(transitionDetails);\n\t\t\t\t}\n\t\t\t}else if((nextState = checkErrorState(prefix, prefixStateMap))!=-1){\n\t\t\t\tfor(int i=0;i<results.size();i=i+2){\n\t\t\t\t\tTransition transitionDetails = new Transition();\n\t\t\t\t\ttransitionDetails.setPrefix(prefix);\n\t\t\t\t\ttransitionDetails.setInput(results.get(i));\n\t\t\t\t\ttransitionDetails.setOutput(results.get(i+1));\n\t\t\t\t\ttransitionDetails.setCurrentState(currentState);\n\t\t\t\t\ttransitionDetails.setNextState(nextState);\n\t\t\t\t\tprefixStateMap.add(transitionDetails);\n\t\t\t\t}\n\t\t\t}else{\n\t\t\t\tfor(int i=0;i<results.size();i=i+2){\n\t\t\t\t\tif(!results.get(i+1).equals(\"-\")){\n\t\t\t\t\t\t/\n\t\t\t\t\t\t * Check for two start calls and make sure they end up on the same state.\n\t\t\t\t\t\t * This is Media Player specific and might need to be changed \n\t\t\t\t\t\t * add for conditional checks for other examples. \n\t\t\t\t\t\t * For Android Media Player, calling start after the first call to start\n\t\t\t\t\t\t * doesn't lead to a transition to a new state. So that needs to be specifically handled.\n\t\t\t\t\t\t /\n\t\t\t\t\t\tboolean exceptionCase = false;\n\t\t\t\t\t\tif(prefix.contains(\"$\")){\n\t\t\t\t\t\t\tint lastIndex = prefix.lastIndexOf(\"$\");\n\t\t\t\t\t\t\tString lastCall = prefix.substring(lastIndex+1, prefix.length()-1);\n\t\t\t\t\t\t\tif(lastCall.contains(\"start()\") && results.get(i).contains(\"start()\")){\n\t\t\t\t\t\t\t\tTransition transitionDetails = new Transition();\n\t\t\t\t\t\t\t\ttransitionDetails.setPrefix(prefix);\n\t\t\t\t\t\t\t\ttransitionDetails.setInput(results.get(i));\n\t\t\t\t\t\t\t\ttransitionDetails.setOutput(results.get(i+1));\n\t\t\t\t\t\t\t\ttransitionDetails.setCurrentState(currentState);\n\t\t\t\t\t\t\t\tint result = checkErrorState(\"<\"+results.get(i)+\",\"+results.get(i+1)+\">\", prefixStateMap);\n\t\t\t\t\t\t\t\tif(result!=-1){\n\t\t\t\t\t\t\t\t\tSystem.out.println(\"Error state is: \"+result);\n\t\t\t\t\t\t\t\t\tnextState = result;\n\t\t\t\t\t\t\t\t}else{\n\t\t\t\t\t\t\t\t\tnextState = currentState;\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\ttransitionDetails.setNextState(nextState);\n\t\t\t\t\t\t\t\tprefixStateMap.add(transitionDetails);\n\t\t\t\t\t\t\t\texceptionCase = true;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}if(!exceptionCase){\n\t\t\t\t\t\t\tTransition transitionDetails = new Transition();\n\t\t\t\t\t\t\ttransitionDetails.setPrefix(prefix);\n\t\t\t\t\t\t\ttransitionDetails.setInput(results.get(i));\n\t\t\t\t\t\t\ttransitionDetails.setOutput(results.get(i+1));\n\t\t\t\t\t\t\ttransitionDetails.setCurrentState(currentState);\n\t\t\t\t\t\t\tint result = checkErrorState(\"<\"+results.get(i)+\",\"+results.get(i+1)+\">\", prefixStateMap);\n\t\t\t\t\t\t\tif(result!=-1){\n\t\t\t\t\t\t\t\tSystem.out.println(\"Error state is: \"+result);\n\t\t\t\t\t\t\t\tnextState = result;\n\t\t\t\t\t\t\t}else{\n\t\t\t\t\t\t\t\tnextState = ++currentMaxState;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\ttransitionDetails.setNextState(nextState);\n\t\t\t\t\t\t\tprefixStateMap.add(transitionDetails);\n\t\t\t\t\t\t}\n\t\t\t\t\t}else{\n\t\t\t\t\t\tnextState = currentState;\n\t\t\t\t\t\tTransition transitionDetails = new Transition();\n\t\t\t\t\t\ttransitionDetails.setPrefix(prefix);\n\t\t\t\t\t\ttransitionDetails.setInput(results.get(i));\n\t\t\t\t\t\ttransitionDetails.setOutput(results.get(i+1));\n\t\t\t\t\t\ttransitionDetails.setCurrentState(currentState);\n\t\t\t\t\t\ttransitionDetails.setNextState(nextState);\n\t\t\t\t\t\tprefixStateMap.add(transitionDetails);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\t\n\t\t/\n\t\t * Add all the final transitions to the automaton object\n\t\t /\n\t\tfor(Transition transition: prefixStateMap){\n\t\t\thypothesis.addTransition(transition);\n\t\t}\n\t\t\n\t\t/\n\t\t * Populate the Tree representation of the Automaton by doing a breadth-first search\n\t\t /\n\t\tint i = 0;\n\t\twhile(i<hypothesis.getNumberStates()){\n\t\t\tList<Transition> successorDetails = new ArrayList<>();\n\t\t\tfor(Transition transition: prefixStateMap){\n\t\t\t\tint startState = transition.getCurrentState();\n\t\t\t\tif(startState==i){\n\t\t\t\t\tsuccessorDetails.add(transition);\n\t\t\t\t\tautomatonTree.put(startState, successorDetails);\n\t\t\t\t}\n\t\t\t}\n\t\t\ti++;\n\t\t}\n\t\t\n\t\tSystem.out.println(automatonTree);\n\t\treturn hypothesis;\n\t}", "@Test\n public void testIsValidonValidMap() {\n boolean expResult = true;\n boolean result = mapModel.isValid();\n assertEquals(expResult, result);\n }", "@Test\n public void testMonsterOrder() {\n // Setup\n\n // Run the test\n modelUnderTest.monsterOrder();\n\n // Verify the results\n }", "public int getMetaFromState(IBlockState state) {\n/ 121 / return ((EnumType)state.getValue((IProperty)VARIANT_PROP)).func_176881_a();\n/ / }", "public abstract MachineState getInitialState();", "@Test\n public void testGetBooleans() throws SolverException, InterruptedException {\n // Some names are specificly chosen to test the Boolector model\n for (String name : VARIABLE_NAMES) {\n testModelGetters(bmgr.makeVariable(name), bmgr.makeBoolean(true), true, name);\n }\n }", "@Before\n public void setUp()\n {\n m1 = new GumballMachine(5);\n hasQuart1 = new HasQuarterState(m1);\n }", "@Test\n public void test_17() {\n Maze maze = new Maze(smallKey, new Location(1, 2));\n maze.moveChip(Direction.NORTH);\n assertTrue(maze.getChipLocation().equals(new Location(1, 1)));\n assertTrue(maze.getChip().hasKey(keyOne));\n assertTrue(maze.getTile(new Location(1, 1)).getClass() == Free.class);\n }", "private State createStates( Grammar grammar, Collection<LR1ItemSet> itemSets)\n {\n itemSetMap = new HashMap<State, LR1ItemSet>();\n \n for( LR1ItemSet itemSet: itemSets) \n {\n log.debugf( \"\\n%s\", itemSet);\n itemSet.state = new State();\n itemSet.state.index = counter++;\n itemSetMap.put( itemSet.state, itemSet);\n }\n \n for( LR1ItemSet itemSet: itemSets)\n {\n Set<String> ts = new HashSet<String>();\n Set<String> nts = new HashSet<String>();\n \n List<Action> tshifts = new ArrayList<Action>();\n List<Action> ntshifts = new ArrayList<Action>();\n \n for( LR1Item item: itemSet.items)\n {\n if ( item.complete())\n {\n if ( item.rule == grammar.rules().get( 0))\n {\n if ( item.laList.contains( Grammar.terminus))\n {\n int[] terminal = new int[] { Grammar.terminusChar};\n tshifts.add( new Action( Action.Type.accept, terminal, item));\n }\n }\n else\n {\n for( String la: item.laList)\n {\n int[] terminal = grammar.toTerminal( la);\n tshifts.add( new Action( Action.Type.reduce, terminal, item));\n }\n }\n }\n else\n {\n if ( !grammar.isTerminal( item.symbol()))\n {\n nts.add( item.symbol());\n }\n else\n {\n Set<String> first = item.first( grammar);\n LR1ItemSet successor = itemSet.successors.get( item.symbol());\n if ( successor != null)\n {\n for( String symbol: first)\n {\n if ( ts.add( symbol))\n {\n int[] terminal = grammar.toTerminal( symbol);\n tshifts.add( new Action( Action.Type.tshift, terminal, successor));\n }\n }\n }\n }\n }\n }\n \n for( String symbol: nts)\n {\n LR1ItemSet successor = itemSet.successors.get( symbol);\n if ( successor != null)\n {\n List<Rule> rules = grammar.lhs( symbol);\n for( Rule rule: rules)\n {\n Action action = new Action( Action.Type.ntshift, new int[] { rule.symbol()}, successor);\n ntshifts.add( action);\n }\n }\n }\n \n buildActionTable( grammar, itemSet.state, tshifts, ntshifts);\n }\n \n return itemSets.iterator().next().state;\n }", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void testSetters()\n\t{\n\t\tAIContext context = new AIContext(a, e); \n\t\tassertTrue(context.getCurrentState() instanceof NoWeaponState); \n\t\t\n\t\tcontext.setCurrentState(new DeadState(context));\n\t\tassertTrue(context.getCurrentState() instanceof DeadState);\n\t\t\n\t\tcontext.setCurrentState(new HasWeaponState(context));\n\t\tassertTrue(context.getCurrentState() instanceof HasWeaponState);\n\t\t\n\t\tcontext.setCurrentState(new OutOfAmmoState(context));\n\t\tassertTrue(context.getCurrentState() instanceof OutOfAmmoState);\n\t\t\n\t\tcontext.setCurrentState(new NoWeaponState(context));\n\t\tassertTrue(context.getCurrentState() instanceof NoWeaponState);\n\t}", "@Test\n public void testMetaBlocks() throws Exception {\n metablocks(\"none\");\n metablocks(\"gz\");\n }", "@Test\r\n public void testSetMatin() {\r\n System.out.println(\"**************\");\r\n System.out.println(\"Test : setMatin\");\r\n boolean matin = false;\r\n Cours_Reservation instance = new Cours_Reservation();\r\n instance.setMatin(matin);\r\n assertEquals(matin, instance.isMatin());\r\n }", "@Test\n public void testPart1Example1() {\n var droid = new MockDroidState(from(SOUTH, WEST),\n Set.of(from(), from(EAST), from(EAST, EAST), from(SOUTH), from(SOUTH, WEST)));\n var ship = new ShipState(droid);\n Assert.assertEquals(ship.distanceToOxygen(), 2);\n }", "@Test(timeout = 4000)\n public void test023() throws Throwable {\n Boolean boolean0 = SQLUtil.mutatesStructure(\"\");\n assertFalse(boolean0);\n }", "@Test\n public void testStateTransitions1()\n { \n assertTrue(theEngine.inStartingState());\n \n //Starting -> Halted\n theEngine.quit();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inStartingState());\n\n //Starting -> Player died\n killPlayerByPlayerMove();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inStartingState());\n \n //Starting -> Player won\n letPlayerWin();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inStartingState());\n \n theEngine.start();\n theEngine.quit();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inHaltedState());\n \n //Halted -> Starting\n //impossible through code\n\n //Halted -> Player died\n killPlayerByPlayerMove();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inHaltedState());\n\n //Halted -> Player won\n letPlayerWin();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inHaltedState());\n\n theEngine.start();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inPlayingState());\n \n //Playing -> Starting\n //impossible by code\n \n killPlayerByPlayerMove();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inDiedState());\n \n //Player died -> Halted\n theEngine.quit();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inDiedState());\n \n //Player died -> Player won\n letPlayerWin();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inDiedState());\n \n //Undo from player died state\n theEngine.undoLastMove();\n //this didn't throw assertion error, so this is fine\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inHaltedState());\n }", "public interface IStates {\n\n\t/\n\t * applyExtraActionPoint. adds extra action point whit the type received by\n\t * parameter\n\t \n\t @param extra\n\t * a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.Constants.EXTRA}\n\t * object.\n\t * @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates applyExtraActionPoint(EXTRA extra);\n\n\t/\n\t applyRallyTroops. applies rally troops\n\t \n\t @param plusOne\n\t * a boolean.\n\t * @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates applyRallyTroops(boolean plusOne);\n\n\t/\n\t archersAttack. performs archers attack\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates archersAttack();\n\n\t/\n\t attack. performs attack\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t * @param name\n\t * a {@link java.lang.String} object.\n\t /\n\tIStates attack(String name);\n\n\t/\n\t boilingWaterAttack. performs boiling water attack\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates boilingWaterAttack();\n\n\t/\n\t capture. performs capture\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates capture();\n\n\t/\n\t checkStatus. check the current status\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates checkStatus();\n\n\t/\n\t closeCombatAttack. performs close combat attack\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates closeCombatAttack();\n\n\t/\n\t coupure. performs coupure\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates coupure();\n\n\t/\n\t <p>\n\t * dont.\n\t * </p>\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates dont();\n\n\t/\n\t drawTopCard. draws the card on the top of the deck\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates drawTopCard();\n\n\t/\n\t endOfTurn. performs the end of the turn\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates endOfTurn();\n\n\t/\n\t extraActionPoint. checks if is possible to add extra action point\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates extraActionPoint();\n\n\t/\n\t <p>\n\t * fastMovement.\n\t * </p>\n\t \n\t @param up\n\t * a boolean.\n\t * @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates fastMovement(boolean up);\n\n\t/\n\t finish. finishes the game\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates finish();\n\n\t/\n\t <p>\n\t * freeMovement.\n\t * </p>\n\t \n\t @param up\n\t * a boolean.\n\t * @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates freeMovement(boolean up);\n\n\t/\n\t <p>\n\t * leaveLocation.\n\t * </p>\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates leaveLocation();\n\n\t/\n\t playAgain.\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates playAgain();\n\n\t/\n\t rallyTroops. performs rally troops\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates rallyTroops();\n\n\t/\n\t sabotage. performs sabotage\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates sabotage();\n\n\t/\n\t start. starts the game\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates start();\n\n\t/\n\t <p>\n\t * StartOfTheTurn.\n\t * </p>\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates StartOfTheTurn();\n\n\t/\n\t supplyRaid.\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates supplyRaid();\n\n\t/\n\t tunnelMovement. performs tunnel movement\n\t \n\t @return a\n\t * {@link com.github.danielpinto8zz6.ninecardsiege.logic.states.IStates}\n\t * object.\n\t /\n\tIStates tunnelMovement();\n}", "@Test(timeout = 4000)\n public void test05() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n naiveBayesMultinomialText0.m_useStopList = true;\n boolean boolean0 = naiveBayesMultinomialText0.getUseStopList();\n assertTrue(boolean0);\n }", "@Test\n public void testStateTransitions3()\n {\n //Undo from starting state\n boolean assertionFailed = false;\n try\n {\n theEngine.undoLastMove();\n }\n catch (AssertionError ae)\n {\n assertionFailed = true;\n }\n \n assertTrue(assertionFailed);\n \n //Undo from playing state\n theEngine.start();\n try\n {\n theEngine.undoLastMove();\n }\n catch (AssertionError ae)\n {\n assertionFailed = true;\n }\n \n //Undo from halted state\n theEngine.quit();\n movePlayerToCell(getEmptyCell());\n theEngine.undoLastMove();\n //didn't throw assertion error, so fine\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inHaltedState());\n }", "public int getMetaFromState(IBlockState state)\n {\n int meta = 0;\n\n if(!state.getValue(DECAYABLE))\n {\n meta \|= 4;\n }\n\n if(state.getValue(CHECK_DECAY))\n {\n meta \|= 8;\n }\n\n return meta;\n }", "public interface HasSettlementState {\n\n SettlementState getSettlementState();\n\n default String getSettlementNumber() {\n return getSettlementState().getSettlementNumber();\n }\n\n default int getSettlementValue() {\n return getSettlementState().getStateValue();\n }\n\n default boolean isAnomaly() {\n return getSettlementState().isAnomaly();\n }\n\n default boolean isSameSettlementState(SettlementState other) {\n return getSettlementState().equals(other);\n }\n}", "@Override\n public IBlockState getStateFromMeta(int meta)\n {\n return getDefaultState().withProperty(LAYERS, (meta & 7) + 1);\n }", "@Test\n public void testFinalState()\n { \n \n GameOfLife game = new GameOfLife();\n for (int gens = 0; gens < 9; gens++)\n {\n game.createNextGeneration();\n \n }\n\n for(int row = 26; row < 31; row++)\n {\n for(int col = 30; col < 35; col++)\n {\n // in this example, an alive cell has a non-null actor and a dead cell has a null actor\n Actor cell = game.getActor(row, col);\n\n // if the cell at the current row and col should be alive, assert that the actor is not null\n if( (row == 27 && col == 31) \|\|\n (row == 27 && col == 34) \|\|\n (row == 28 && col == 30) \|\|\n (row == 28 && col == 32) \|\|\n (row == 29 && col == 30) \|\|\n (row == 29 && col == 31) )\n \n {\n assertNotNull(\"expected alive cell at (\" + row + \", \" + col + \")\", cell);\n }\n else // else, the cell should be dead; assert that the actor is null\n {\n assertNull(\"expected dead cell at (\" + row + \", \" + col + \")\", cell);\n }\n }\n }\n \n \n }", "public abstract void mo32007dM(boolean z);", "private static void mystate() {\n\t\tSystem.out.println(\"My livind state is Mairiland\");\n\t}", "@Test\n public void testIsFalling() {\n // Setup\n\n // Run the test\n modelUnderTest.isFalling();\n\n // Verify the results\n }", "@Test\n public void testInitialState()\n { \n \n GameOfLife game = new GameOfLife();\n //update conditionals\n for(int row = 25; row < 30; row++)\n {\n for(int col = 30; col < 35; col++)\n {\n // in this example, an alive cell has a non-null actor and a dead cell has a null actor\n Actor cell = game.getActor(row, col);\n\n // if the cell at the current row and col should be alive, assert that the actor is not null\n if( (row == 27 && col == 34) \|\|\n (row == 28 && col == 33) \|\|\n (row == 28 && col == 34) \|\|\n (row == 29 && col == 32) \|\|\n (row == 29 && col == 33) \|\|\n (row == 29 && col == 34) )\n \n {\n assertNotNull(\"expected alive cell at (\" + row + \", \" + col + \")\", cell);\n }\n else // else, the cell should be dead; assert that the actor is null\n {\n assertNull(\"expected dead cell at (\" + row + \", \" + col + \")\", cell);\n }\n }\n }\n }", "@Test\r\n public void testIsMatin() {\r\n System.out.println(\"***************\");\r\n System.out.println(\"Test : isMatin\");\r\n Cours_Reservation instance = new Cours_Reservation();\r\n instance.setMatin(false);\r\n boolean expResult = false;\r\n boolean result = instance.isMatin();\r\n assertEquals(expResult, result);\r\n }", "public interface MonsterStateTransitions {\n //state transitions\n void toVulnerableState();\n void toProtectedState();\n\n //actions\n void init();\n\n}", "@Test\n public void testStateTransitions2()\n {\n theEngine.start();\n letPlayerWin();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inWonState());\n \n //Player won -> Halted\n theEngine.quit();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inWonState());\n \n //Player won -> Player died\n killPlayerByPlayerMove();\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inWonState());\n \n //Undo from player won state\n theEngine.undoLastMove();\n //didn't throw assertion error, so this is fine\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inHaltedState());\n }", "@Test\n public void testSetMayorsSearchTree02() {\n\n System.out.println(\"setMayorsSearchTree\");\n MayorAVL expResult = new MayorAVL();\n sn10.setMayorsSearchTree();\n\n MayorAVL result = sn10.getMayorsAVL();\n\n // Verify if tree is not equal to empty list.\n assertFalse(expResult.equals(result));\n\n }", "@Override\n\tpublic boolean getState() {\n\t\treturn true;\n\t}", "boolean hasState();", "boolean hasState();", "boolean hasState();", "boolean hasState();", "boolean hasState();", "boolean hasState();", "boolean hasState();", "boolean hasState();", "@Test(timeout = 4000)\n public void test12() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n naiveBayesMultinomialText0.m_lowercaseTokens = true;\n boolean boolean0 = naiveBayesMultinomialText0.getLowercaseTokens();\n assertTrue(boolean0);\n }", "public void getState();", "@Test\n\tpublic void testValidatePrivacyState() {\n\t\ttry {\n\t\t\tfor(String emptyValue : ParameterSets.getEmptyValues()) {\n\t\t\t\tAssert.assertNull(SurveyResponseValidators.validatePrivacyState(emptyValue));\n\t\t\t}\n\t\t\t\n\t\t\ttry {\n\t\t\t\tSurveyResponseValidators.validatePrivacyState(\"Invalid value.\");\n\t\t\t\tfail(\"The privacy state was invalid.\");\n\t\t\t}\n\t\t\tcatch(ValidationException e) {\n\t\t\t\t// Passed.\n\t\t\t}\n\t\t\t\n\t\t\tfor(SurveyResponse.PrivacyState privacyState: SurveyResponse.PrivacyState.values()) {\n\t\t\t\tAssert.assertEquals(privacyState, SurveyResponseValidators.validatePrivacyState(privacyState.toString()));\n\t\t\t}\n\t\t}\n\t\tcatch(ValidationException e) {\n\t\t\tfail(\"A validation exception was thrown: \" + e.getMessage());\n\t\t}\n\t}", "public void testFlagCell()\r\n {\r\n board.loadBoardState(\"OOOO\",\r\n \"OFOO\",\r\n \"O+OO\",\r\n \"OOOO\");\r\n board.flagCell(1, 1);\r\n assertBoard(board, \"OOOO\",\r\n \"OOOO\",\r\n \"O+OO\",\r\n \"OOOO\");\r\n board.loadBoardState(\"OOOO\",\r\n \"OOOO\",\r\n \"OOOO\",\r\n \"OOOO\");\r\n board.flagCell(1, 1);\r\n assertBoard(board, \"OOOO\",\r\n \"OFOO\",\r\n \"OOOO\",\r\n \"OOOO\");\r\n board.loadBoardState(\"OOOO\",\r\n \"O+OO\",\r\n \"OOOO\",\r\n \"OOOO\");\r\n board.flagCell(1, 1);\r\n assertBoard(board, \"OOOO\",\r\n \"OMOO\",\r\n \"OOOO\",\r\n \"OOOO\");\r\n board.loadBoardState(\"OOOO\",\r\n \"OMOO\",\r\n \"OOOO\",\r\n \"OOOO\");\r\n board.flagCell(1, 1);\r\n assertBoard(board, \"OOOO\",\r\n \"O+OO\",\r\n \"OOOO\",\r\n \"OOOO\");\r\n board.loadBoardState(\"OOOO\",\r\n \"O OO\",\r\n \"OOOO\",\r\n \"OOOO\");\r\n board.flagCell(1, 1);\r\n assertBoard(board, \"OOOO\",\r\n \"O OO\",\r\n \"OOOO\",\r\n \"OOOO\");\r\n }", "@Test\n public void testSetNeighborState() throws Exception {\n isisNeighbor.setNeighborState(IsisInterfaceState.DOWN);\n isisInterfaceState = isisNeighbor.neighborState();\n assertThat(isisInterfaceState, is(IsisInterfaceState.DOWN));\n }", "public IBlockState getStateFromMeta(int meta) {\n/ 133 / IBlockState iblockstate = getDefaultState();\n/ 134 / iblockstate = iblockstate.withProperty((IProperty)FACING, (Comparable)EnumFacing.getFront(meta));\n/ 135 / return iblockstate;\n/ */ }", "@Test(timeout = 4000)\n public void test034() throws Throwable {\n NaiveBayesMultinomialUpdateable naiveBayesMultinomialUpdateable0 = new NaiveBayesMultinomialUpdateable();\n String string0 = Evaluation.makeOptionString(naiveBayesMultinomialUpdateable0, false);\n assertNotNull(string0);\n }", "@Test(timeout = 4000)\n public void test075() throws Throwable {\n DecisionTable decisionTable0 = new DecisionTable();\n String string0 = Evaluation.getGlobalInfo(decisionTable0);\n assertEquals(\"\\nSynopsis for weka.classifiers.rules.DecisionTable:\\n\\nClass for building and using a simple decision table majority classifier.\\n\\nFor more information see: \\n\\nRon Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.\", string0);\n }", "public int numberOfStates();", "Object getState();", "public int getMyNumStates() { return myNumStates; }", "public abstract boolean deterministic () ;", "private static List<State<StepStateful>> getStates() {\n List<State<StepStateful>> states = new LinkedList<>();\n states.add(s0);\n states.add(s1);\n states.add(s2);\n states.add(s3);\n states.add(s4);\n states.add(s5);\n states.add(s6);\n return states;\n }", "public int numStates();", "public void testGetStateName() {\r\n test1 = state2;\r\n assertEquals(test1.getStateName(), \"Virginia\");\r\n }", "public List<MclnState> getAvailableStates();", "@Test\n void testSetIsComplete() {\n Item actualResult = new Item(\"Test Description\", \"2022-05-30\", \"Complete\");\n // Edit the isComplete variable using boolean.\n actualResult.setIsComplete(false);\n assertEquals(\"Incomplete\",actualResult.getIsComplete());\n }", "@Test(timeout = 4000)\n public void test063() throws Throwable {\n Boolean boolean0 = SQLUtil.mutatesStructure(\"\");\n assertFalse(boolean0);\n }", "@Test\n void getCurrentRewardsFromUpgradeTest() {\n EnumMap<CardPoints,Integer> oracle = new EnumMap<CardPoints, Integer>(CardPoints.class);\n oracle.put(CardPoints.VICTORY, 3);\n assertEquals(oracle, this.wonder.getCurrentRewardsFromUpgrade()); //index/state = 0, cost stage 1\n assertEquals(oracle, this.wonder.getProp().get(this.wonder.getState()).y); //index/state = 0, cost stage 1\n\n wonder.setState(wonder.getState() + 1); // stage one is build\n oracle = new EnumMap<CardPoints, Integer>(CardPoints.class);\n //reward is an effect, so no cardpoints\n assertEquals(oracle, this.wonder.getCurrentRewardsFromUpgrade()); // index/state = 1, cost stage 2\n\n wonder.setState(wonder.getState() + 1); // 2 stage build\n oracle = new EnumMap<CardPoints, Integer>(CardPoints.class);\n oracle.put(CardPoints.VICTORY, 7);\n assertEquals(oracle, this.wonder.getCurrentRewardsFromUpgrade()); // index/state = 2, cost stage 3\n wonder.setState(wonder.getState() + 1); // Build the last stage\n\n //return an outIndexError when we call this method\n }", "@Test\n\tpublic void testGetMoves() {\n\t\tGameState test = new GameState();\n\t\ttest.move(4);\n\t\ttest.move(7);\n\t\ttest.move(15);\n\t\ttest.move(20);\n\t\tassertEquals(4, test.getMoves());\n\t\ttest.move(24);\n\t\ttest.move(16);\n\t\tassertEquals(6, test.getMoves());\n\t}", "@Test\n\tpublic void testIsWon() {\n\t\tGameState test = new GameState();\n\t\ttest.blankBoard();\n\t\tassertTrue(test.isWon());\n\t}", "@Test\n\tpublic void methodUnderTest_GivenInputsABC_AndSystemStateDEF_ThenExpectXYZ2() {\n\t}", "protected abstract void assertState(HazelcastInstance hazelcastInstance);", "public MealyStepByStateSimulator(Automaton automaton) \n {\n super(automaton);\n }", "public void testPeriodic() {\n \tterrainStates();\n \tdebug();\n }", "@Test\n\tvoid test() {\n\t\tTable[] myTables = new Table[5];\n\t\tfor(int i = 0; i < myTables.length; i++) {\n\t\t\tmyTables[i] = new Table(i);\n\t\t}\n\t\tBusBoy busBoy = new BusBoy(myTables);\n\t\tSystem.out.println(myTables[0]);\n\t\tassert(myTables[0].toString().equals(\"ReadyTable\"));\n\t\tmyTables[0].nextState();\n\t\tassert(myTables[0].toString().equals(\"InUseTable\"));\n\t\tmyTables[0].nextState();\n\t\tSystem.out.println(busBoy.tablesToClean.peek());\n\t\tSystem.out.println(myTables[0]);\n\t\tassertEquals(busBoy.tablesToClean.peek(), myTables[0]);\n\t\tmyTables[0].nextState();\n\t\tassert(myTables[0].toString().equals(\"BeingCleanedTable\"));\n\t}", "@Test\n public void testTankMoving() {\n tank.moveRight();\n assertEquals(tank.getMovingRight(), true);\n\n tank.moveLeft();\n assertEquals(tank.getMovingLeft(), true);\n\n tank.notMoveLeft();\n assertEquals(tank.getMovingLeft(), false);\n\n tank.notMoveRight();\n assertEquals(tank.getMovingRight(), false);\n }" ]	[ "0.70054924", "0.61927694", "0.5975241", "0.58032185", "0.5782842", "0.57107306", "0.56871647", "0.56856644", "0.5685296", "0.55905426", "0.55781794", "0.5549088", "0.55474806", "0.5545777", "0.5533892", "0.5526405", "0.5510707", "0.53888834", "0.53198814", "0.5275341", "0.52566034", "0.5250002", "0.5231269", "0.5230324", "0.52200705", "0.52114415", "0.5195224", "0.51804024", "0.51778436", "0.5166434", "0.5142827", "0.51420283", "0.5112357", "0.5099706", "0.5086605", "0.5078646", "0.506395", "0.506175", "0.5054119", "0.5052505", "0.50431174", "0.5040979", "0.50383574", "0.5007472", "0.50034714", "0.49960175", "0.49868464", "0.4985849", "0.49847478", "0.4983254", "0.49575663", "0.49458465", "0.49275157", "0.49240494", "0.4923775", "0.49230295", "0.4910751", "0.49078912", "0.49072593", "0.49024445", "0.49023178", "0.4899793", "0.48993912", "0.48958197", "0.48939827", "0.48939788", "0.48939788", "0.48939788", "0.48939788", "0.48939788", "0.48939788", "0.48939788", "0.48939788", "0.4890114", "0.48851192", "0.4879153", "0.48761016", "0.48739195", "0.4872241", "0.48655093", "0.48473185", "0.4846442", "0.48449874", "0.48425078", "0.483722", "0.483442", "0.4824782", "0.48207092", "0.48196048", "0.48173124", "0.481211", "0.481196", "0.48060262", "0.4794811", "0.47942638", "0.47905695", "0.47893816", "0.47892907", "0.47888988", "0.47887945" ]	0.8603486	0
Test of metastableMemberships method, of class MarkovModelUtilities.	@Test public void testMetastableMemberships() { IDoubleArray M = null; int nstates = 0; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.metastableMemberships(M, nstates); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\r\n public void testisMenber1() {\r\n Assert.assertEquals(true, set1.isMember(4));\r\n }", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n\tpublic void testGetMembers() {\r\n\t\tassertTrue(meetingu1.getMembers().contains(teach1));\r\n\t\tassertTrue(meetingu1.getMembers().contains(teach2));\r\n\t}", "@Test\r\n\tpublic void testEqualsMunitions() {\r\n\t\tAssert.assertEquals(true,\r\n\t\t\t\tlist.getFirst().getData().equals(new Munitions(0, 1, \"iron\")));\r\n\t\tAssert.assertEquals(\r\n\t\t\t\tfalse,\r\n\t\t\t\tlist.getFirst().getNext().getData()\r\n\t\t\t\t\t\t.equals(new Munitions(4, 5, \"iron\")));\r\n\t}", "@Override\r\n public void ontTest( OntModel m ) throws Exception {\r\n Profile prof = m.getProfile();\r\n OntClass A = m.createClass( NS + \"A\" );\r\n Individual x = m.createIndividual( A );\r\n Individual y = m.createIndividual( A );\r\n Individual z = m.createIndividual( A );\r\n\r\n x.addSameAs( y );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n assertEquals( \"x should be the same as y\", y, x.getSameAs() );\r\n assertTrue( \"x should be the same as y\", x.isSameAs( y ) );\r\n\r\n x.addSameAs( z );\r\n assertEquals( \"Cardinality should be 2\", 2, x.getCardinality( prof.SAME_AS() ) );\r\n iteratorTest( x.listSameAs(), new Object[] {z,y} );\r\n\r\n x.setSameAs( z );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n assertEquals( \"x should be same indiv. as z\", z, x.getSameAs() );\r\n\r\n x.removeSameAs( y );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n x.removeSameAs( z );\r\n assertEquals( \"Cardinality should be 0\", 0, x.getCardinality( prof.SAME_AS() ) );\r\n }", "@Test\n\tpublic void testIsMember() {\n\t\tresetTestVars();\n\t\t\n\t\tassertFalse(\"Nothing in list\", sn.isMember(\"Hello\"));\n\t\tuser1.setID(\"1\");\n\t\tsn.addUser(user1);\n\t\tassertTrue(\"User with given ID exists\", sn.isMember(\"1\"));\n\t}", "@Test\r\n public void NegativeTestisMember1() {\r\n Assert.assertNotEquals(true, set1.isMember(10));\r\n }", "@Test\r\n\tpublic void testsetMembers() {\r\n\t\tSet<Person> persons1 = new HashSet<Person>();\r\n\t\tmeetingu1.setMembers(persons1);\r\n\t\tassertTrue(meetingu1.getMembers().equals(persons1));\r\n\t}", "@Test\r\n\tpublic void testContains() {\r\n\t\tAssert.assertTrue(list.contains(new Munitions(2, 3, \"iron\")));\r\n\t\tAssert.assertFalse(list.contains(new Munitions(2, 5, \"ferrum\")));\r\n\t}", "@Test\n public void userGetMembershipDataForCurrentUserTest() {\n InlineResponse2005 response = api.userGetMembershipDataForCurrentUser();\n\n // TODO: test validations\n }", "boolean isMember(Item item) throws AccessManagementException;", "@Test\n\tpublic void testCourseSetMembersReconciled() throws Exception {\n\t\tMembership member = (Membership)cmService.getCourseSetMemberships(\"ucb\").iterator().next();\n\t\tAssert.assertEquals(\"birgeneau\", member.getUserId());\n\t\tAssert.assertEquals(\"president\", member.getRole());\n\t\t\n\t\t// Add a new membership\n\t\tMembership newMember = cmAdmin.addOrUpdateCourseSetMembership(\"foo\", \"bar\", \"ucb\", \"active\");\n\t\t\n\t\t// Ensure it was added\n\t\tAssert.assertTrue(cmService.getCourseSetMemberships(\"ucb\").contains(newMember));\n\t\t\n\t\t// Reconcile again\n\t\tjob.syncAllCmObjects();\n\t\t\n\t\t// Ensure that the new member was removed\n\t\tAssert.assertFalse(cmService.getCourseSetMemberships(\"ucb\").contains(newMember));\n\t}", "@Test\n public void testGetPermissionsRole() throws Exception\n {\n permission = permissionManager.getPermissionInstance(\"GREET_PEOPLE\");\n permissionManager.addPermission(permission);\n Permission permission2 = permissionManager.getPermissionInstance(\"ADMINISTER_DRUGS\");\n permissionManager.addPermission(permission2);\n Role role = securityService.getRoleManager().getRoleInstance(\"VET_TECH\");\n securityService.getRoleManager().addRole(role);\n ((DynamicModelManager) securityService.getModelManager()).grant(role, permission);\n PermissionSet permissions = ((DynamicRole) role).getPermissions();\n assertEquals(1, permissions.size());\n assertTrue(permissions.contains(permission));\n assertFalse(permissions.contains(permission2));\n }", "@Test\r\n public void testGetKnownDiseaseAssociationsForMgiGeneId() {\r\n String mgiGeneId = \"MGI:95523\";\r\n\r\n Map<Disease, Set<DiseaseAssociation>> result = instance.getKnownDiseaseAssociationsForMgiGeneId(mgiGeneId);\r\n\r\n for (Disease disease : result.keySet()) {\r\n// System.out.println(disease);\r\n Set<DiseaseAssociation> diseaseAssociations = result.get(disease);\r\n if (disease.getDiseaseId().equals(\"OMIM:101200\")) {\r\n assertEquals(2, diseaseAssociations.size());\r\n }\r\n for (DiseaseAssociation diseaseAssociation : diseaseAssociations) {\r\n// System.out.println(String.format(\" %s\", diseaseAssociation));\r\n }\r\n }\r\n\r\n assertTrue(result.keySet().size() >= 11);\r\n \r\n \r\n }", "abstract public double getMembership(int x);", "@Test\r\n\tpublic void testGet() {\r\n\t\tAssert.assertTrue(list.get(2).equals(new Munitions(2, 3, \"iron\")));\r\n\t}", "@Test\n public void testClaimMbi() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setMbi, RdaFissClaim::getMbi, RdaFissClaim.Fields.mbi, 11)\n .verifyIdHashFieldPopulatedCorrectly(\n FissClaim.Builder::setMbi, RdaFissClaim::getMbiHash, 11, idHasher);\n }", "public void test_hk_02() {\n OntModelSpec spec = new OntModelSpec(OntModelSpec.OWL_MEM);\n spec.setReasoner(null);\n OntModel ontModel = ModelFactory.createOntologyModel(spec, null); // ProfileRegistry.OWL_LANG);\n ontModel.createAllDifferent();\n assertTrue(ontModel.listAllDifferent().hasNext());\n AllDifferent allDifferent = (AllDifferent) ontModel.listAllDifferent().next();\n //allDifferent.setDistinct(ontModel.createList());\n assertFalse(allDifferent.listDistinctMembers().hasNext());\n }", "public static boolean testPokemomGetSet() {\r\n Pokemon inst = new Pokemon(\"name\", \"type1\", \"type2\", 2, 3, 4, 5, 6, 7, 8, false, false);\r\n if (!Objects.equals(inst.getName(), \"name\") \|\| !Objects.equals(inst.getType1(), \"type1\")\r\n \|\| !Objects.equals(inst.getType2(), \"type2\") \|\| !Objects.equals(inst.getHp(), 2)\r\n \|\| !Objects.equals(inst.getAttack(), 3) \|\| !Objects.equals(inst.getDefense(), 4)\r\n \|\| !Objects.equals(inst.getSpAttack(), 5) \|\| !Objects.equals(inst.getSpDefense(), 6)\r\n \|\| !Objects.equals(inst.getSpeed(), 7) \|\| !Objects.equals(inst.getTotal(), 8)\r\n \|\| !Objects.equals(inst.isLegendary(), false) \|\| !Objects\r\n .equals(inst.getFavorite(), false)) {\r\n return false;\r\n }\r\n inst.setName(\"sName\");\r\n inst.setType1(\"ttype1\");\r\n inst.setType2(\"ttype2\");\r\n inst.setHp(11);\r\n inst.setAttack(10);\r\n inst.setDefense(33);\r\n inst.setSpAttack(44);\r\n inst.setSpDefense(41);\r\n inst.setSpeed(1);\r\n inst.setTotal(222);\r\n inst.setLegendary(true);\r\n inst.setFavorite(true);\r\n if (!Objects.equals(inst.getName(), \"sName\") \|\| !Objects.equals(inst.getType1(), \"ttype1\")\r\n \|\| !Objects.equals(inst.getType2(), \"ttype2\") \|\| !Objects.equals(inst.getHp(), 11)\r\n \|\| !Objects.equals(inst.getAttack(), 10) \|\| !Objects.equals(inst.getDefense(), 33)\r\n \|\| !Objects.equals(inst.getSpAttack(), 44) \|\| !Objects.equals(inst.getSpDefense(), 41)\r\n \|\| !Objects.equals(inst.getSpeed(), 1) \|\| !Objects.equals(inst.getTotal(), 222)\r\n \|\| !Objects.equals(inst.isLegendary(), true) \|\| !Objects\r\n .equals(inst.getFavorite(), true)) {\r\n return false;\r\n }\r\n return true;\r\n }", "public void testVotersRequiredMembersOk() {\n Group citizens = RoleFactory.createGroup(\"citizen\");\n citizens.addRequiredMember(m_anyone);\n \n Group adults = RoleFactory.createGroup(\"adult\");\n adults.addRequiredMember(m_anyone);\n \n Group voters = RoleFactory.createGroup(\"voter\");\n voters.addRequiredMember(citizens);\n voters.addRequiredMember(adults);\n voters.addMember(m_anyone);\n \n \n // Elmer belongs to the citizens and adults...\n User elmer = RoleFactory.createUser(\"elmer\");\n citizens.addMember(elmer);\n adults.addMember(elmer);\n \n // Pepe belongs to the citizens, but is not an adult...\n User pepe = RoleFactory.createUser(\"pepe\");\n citizens.addMember(pepe);\n \n // Bugs is an adult, but is not a citizen...\n User bugs = RoleFactory.createUser(\"bugs\");\n adults.addMember(bugs);\n \n // Daffy is not an adult, neither a citizen...\n User daffy = RoleFactory.createUser(\"daffy\");\n\n assertTrue(m_roleChecker.isImpliedBy(voters, elmer));\n assertFalse(m_roleChecker.isImpliedBy(voters, pepe));\n assertFalse(m_roleChecker.isImpliedBy(voters, bugs));\n assertFalse(m_roleChecker.isImpliedBy(voters, daffy));\n }", "@Test\n public void testGenerateStatistics() {\n Statistics me = new Statistics(0, numFishes, numSharks);\n Statistics prog = dataHandler.generateStatistics();\n //assertEquals(me, prog);\n if (me.getIterationStep() == prog.getIterationStep()\n && me.getFishAmount() == prog.getFishAmount()\n && me.getSharksAmount() == prog.getSharksAmount()) {\n assertTrue(true);\n } else {\n assertTrue(false);\n }\n }", "@Test\r\n public void testGetPredictedDiseaseAssociationsForMgiGeneId() {\r\n String mgiGeneId = \"MGI:95523\";\r\n\r\n Map<Disease, Set<DiseaseAssociation>> result = instance.getPredictedDiseaseAssociationsForMgiGeneId(mgiGeneId);\r\n \r\n// for (Disease disease : result.keySet()) {\r\n// System.out.println(disease);\r\n// for (DiseaseAssociation diseaseAssociation : result.get(disease)) {\r\n// System.out.println(String.format(\" %s\", diseaseAssociation));\r\n// }\r\n// }\r\n assertTrue(result.keySet().size() > 290);\r\n }", "@Test\n public void testGetManifestationList() {\n System.out.println(\"getManifestationList\");\n DataDeichmanAdapterMock instance = new DataDeichmanAdapterMock();\n Model expResult = null;\n Model result = instance.getManifestationList();\n //result.write(System.out);\n assertNotNull(result);\n assertFalse(result.isEmpty());\n //assertEquals(expResult, result.size());\n }", "public ResultSummary getMemberships(DoubleVector extendedNormalizedInstance,double normaliezedTargetValue) {\n\t\t\t\n\t\t\tResultSummary resultSummary = new ResultSummary(extendedNormalizedInstance,normaliezedTargetValue) ;\n\t\t\tdouble membership=0 ;\n\t\t\tdouble score =0 ;\n//\t\t\tSystem.out.println(\"###########getMemberships\\n\");\n\t\t\tif (chooseSingleRuleOption.isSet()) {\n\t\t\t\tdouble maxMembership = 0 ;\n\t\t\t\tfor (FuzzyRule rule : rs) {\n\t\t\t\t\tif (rule==defaultRule) {\n\t\t\t\t\t\tmembership = rule.getMembershipDegree(extendedNormalizedInstance) ;\n\t\t\t\t\t\tscore = rule.getScore(extendedNormalizedInstance) ;\n\t\t\t\t\t\tresultSummary.setResultPairDefaultRule(resultSummary.new ResultPair(rule, membership, score));\n\t\t\t\t\t}else {\n\t\t\t\t\t\tmembership = rule.getMembershipDegree(extendedNormalizedInstance) ;\n\t\t\t\t\t\tscore = rule.getScore(extendedNormalizedInstance) ;\n\t\t\t\t\t\tresultSummary.addResultPair(rule, membership, score) ;\n\t\t\t\t\t\tmaxMembership = Math.max(maxMembership, membership) ;\n//\t\t\t\t\t\tSystem.out.println(\"[\"+membership+\",\"+score+\"]\");\t\t\t\t\t\t\n\t\t\t\t\t}\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\tif (rs.size()==1 \|\| maxMembership<max_Membership_For_Choosing_Single_Rule)\n\t\t\t\t\tresultSummary.addResultPair(resultSummary.getResultPairDefaultRule()) ;\n\t\t\t}else {\n\t\t\t\tfor (FuzzyRule rule : rs) {\n\t\t\t\t\tmembership = rule.getMembershipDegree(extendedNormalizedInstance) ;\n\t\t\t\t\tscore = rule.getScore(extendedNormalizedInstance) ;\n\t\t\t\t\tresultSummary.addResultPair(rule, membership, score) ;\t\t\t\n//\t\t\t\t\tSystem.out.println(\"[\"+membership+\",\"+score+\"]\");\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tresultSummary.computePrediction();\n//\t\t\tSystem.out.println(\"{\"+extendedNormalizedInstance+\"}\");\n//\t\t\tSystem.out.println(\"{\"+resultSummary.getSumMemberships()+\",\"+resultSummary.getSumWeightedPredictions()+\",\"+resultSummary.getFinalPrediction()+\",\"+\"normaliezedTargetValue=,\"+normaliezedTargetValue+\"}\");\n\t\t\t\n\t\t\treturn resultSummary;\n\t\t}", "@Test\n\tpublic void testIsPermitted_6()\n\t\tthrows Exception {\n\t\tSimpleAuthorizingAccount fixture = new SimpleAuthorizingAccount();\n\t\tfixture.setSimpleRoles(new HashSet());\n\t\tPermission permission = new AllPermission();\n\n\t\tboolean result = fixture.isPermitted(permission);\n\n\t\t// add additional test code here\n\t\tassertTrue(result);\n\t}", "@Test\r\n\tpublic void testGetAllGuidances() {\n\t\tthis.checklistDAO.saveOrUpdateCheckList(this.checklist);\r\n\r\n\t\t// Look if this checklist is also into the database and look if the size\r\n\t\t// of the set is >= 1.\r\n\t\tList<CheckList> checklists = this.checklistDAO.getAllCheckList();\r\n\t\tassertNotNull(checklists);\r\n\t\tassertTrue(checklists.size() >= 1);\r\n\t}", "@Test\n\tvoid attributeCardinality() {\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(CLINICAL_FINDING, DISORDER, BLEEDING, BLEEDING_SKIN, PENTALOGY_OF_FALLOT, PENTALOGY_OF_FALLOT_INCORRECT_GROUPING),\n\t\t\t\tstrings(selectConceptIds(\"<<\" + CLINICAL_FINDING + \":[0..]\" + FINDING_SITE + \"=\")));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(CLINICAL_FINDING, DISORDER, BLEEDING, BLEEDING_SKIN, PENTALOGY_OF_FALLOT, PENTALOGY_OF_FALLOT_INCORRECT_GROUPING),\n\t\t\t\tstrings(selectConceptIds(\"<<\" + CLINICAL_FINDING + \":[0..2]\" + FINDING_SITE + \"=\")));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(BLEEDING_SKIN, PENTALOGY_OF_FALLOT, PENTALOGY_OF_FALLOT_INCORRECT_GROUPING),\n\t\t\t\tstrings(selectConceptIds(\"<<\" + CLINICAL_FINDING + \":[1..2]\" + FINDING_SITE + \"=\")));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(BLEEDING_SKIN),\n\t\t\t\tstrings(selectConceptIds(\"<<\" + CLINICAL_FINDING + \":[1..1]\" + FINDING_SITE + \"=\")));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(BLEEDING_SKIN, CLINICAL_FINDING, DISORDER, BLEEDING),\n\t\t\t\tstrings(selectConceptIds(\"<<\" + CLINICAL_FINDING + \":[0..1]\" + FINDING_SITE + \"=\")));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(CLINICAL_FINDING, DISORDER, BLEEDING),\n\t\t\t\tstrings(selectConceptIds(\"<<\" + CLINICAL_FINDING + \":[0..0]\" + FINDING_SITE + \"=\")));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(BLEEDING_SKIN, PENTALOGY_OF_FALLOT, PENTALOGY_OF_FALLOT_INCORRECT_GROUPING),\n\t\t\t\tstrings(selectConceptIds(\"<<\" + CLINICAL_FINDING + \":[1..2]\" + FINDING_SITE + \"= <<\" + BODY_STRUCTURE)));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(BLEEDING_SKIN),\n\t\t\t\tstrings(selectConceptIds(\n\t\t\t\t\t\t\"<<\" + CLINICAL_FINDING + \":\" +\n\t\t\t\t\t\t\t\t\"[1..2]\" + FINDING_SITE + \"= <<\" + BODY_STRUCTURE + \",\" +\n\t\t\t\t\t\t\t\t\"[0..0]\" + ASSOCIATED_MORPHOLOGY + \"= <<\" + STENOSIS)));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(BLEEDING_SKIN, PENTALOGY_OF_FALLOT, PENTALOGY_OF_FALLOT_INCORRECT_GROUPING),\n\t\t\t\tstrings(selectConceptIds(\n\t\t\t\t\t\t\"<<\" + CLINICAL_FINDING + \":\" +\n\t\t\t\t\t\t\t\t\"[1..2]\" + FINDING_SITE + \"= <<\" + BODY_STRUCTURE + \",\" +\n\t\t\t\t\t\t\t\t\"[0..1]\" + ASSOCIATED_MORPHOLOGY + \"= <<\" + STENOSIS)));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(PENTALOGY_OF_FALLOT, PENTALOGY_OF_FALLOT_INCORRECT_GROUPING),\n\t\t\t\tstrings(selectConceptIds(\n\t\t\t\t\t\t\"<<\" + CLINICAL_FINDING + \":\" +\n\t\t\t\t\t\t\t\t\"[1..2]\" + FINDING_SITE + \"= <<\" + BODY_STRUCTURE + \",\" +\n\t\t\t\t\t\t\t\t\"[1..]\" + ASSOCIATED_MORPHOLOGY + \"= <<\" + STENOSIS)));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(PENTALOGY_OF_FALLOT_INCORRECT_GROUPING),\n\t\t\t\tstrings(selectConceptIds(\n\t\t\t\t\t\t\"<<\" + CLINICAL_FINDING + \":\" +\n\t\t\t\t\t\t\t\t\"{\" +\n\t\t\t\t\t\t\t\t\"[1..1]\" + FINDING_SITE + \" != <<\" + PULMONARY_VALVE_STRUCTURE + \",\" +\n\t\t\t\t\t\t\t\t\"[1..]\" + ASSOCIATED_MORPHOLOGY + \"= <<\" + STENOSIS + \"\" +\n\t\t\t\t\t\t\t\t\"}\")));\n\n\t\tassertEquals(\n\t\t\t\tSets.newHashSet(PENTALOGY_OF_FALLOT, PENTALOGY_OF_FALLOT_INCORRECT_GROUPING),\n\t\t\t\tstrings(selectConceptIds(\n\t\t\t\t\t\t\"<<\" + CLINICAL_FINDING + \":\" +\n\t\t\t\t\t\t\t\t\"[0..0]\" + FINDING_SITE + \" != <<\" + BODY_STRUCTURE + \",\" +\n\t\t\t\t\t\t\t\t\"[1..]\" + ASSOCIATED_MORPHOLOGY + \"= <<\" + STENOSIS)));\n\n\t}", "@Test\n public void userGetMembershipDataByIdTest() {\n Long membershipId = null;\n Integer membershipType = null;\n InlineResponse2005 response = api.userGetMembershipDataById(membershipId, membershipType);\n\n // TODO: test validations\n }", "@Test\r\n\tvoid testGeneratePlayersShouldPass() {\r\n\t\tModel dataModel = new Model();\r\n\t\t\r\n\t\tdataModel.generateSquads();\r\n\t\tdataModel.generatePlayers();\r\n\t\t\r\n\t\tArrayList<Player> players = dataModel.getAllPlayers();\r\n\t\t\r\n\t\tint size = players.size();\r\n\t\tassertNotEquals(0, size);\r\n\t}", "public void checkMembers(LocalDate date) {\n\t\t//TODO: This flow is waaay to shitty.\n\t\tfor (int i = 0; i < members.size(); i++) {\n\t\t\tBonusMember member = members.get(i);\n\t\t\tBonusMember newMember = checkGoldLimit(member, date);\n\t\t\t\n\t\t\tif (newMember instanceof GoldMember) {\n\t\t\t\tmembers.set(i, newMember);\n\t\t\t\tSystem.out.println(newMember.getPersonals().getFirstname() + \" er nå \" + newMember.getClass());\n\t\t\t\tbreak;\n\t\t\t}\n\n\t\t\tnewMember = checkSilverLimit(member, date);\n\t\t\tif (newMember instanceof SilverMember) {\n\t\t\t\tmembers.set(i, newMember);\n\t\t\t\tSystem.out.println(newMember.getPersonals().getFirstname() + \" er nå \" + newMember.getClass());\n\t\t\t}\n\t\t}\n\t}", "boolean isMember();", "@Then(\"each of the players should have claimed the corresponding tiles:\")\n\tpublic void each_of_the_players_should_have_claimed_the_corresponding_tiles(io.cucumber.datatable.DataTable dataTable) {\n Game game = KingdominoApplication.getKingdomino().getCurrentGame();\n List<Map<String, String>> valueMaps = dataTable.asMaps();\n int playerIndex = 0;\n for (Map<String, String> map : valueMaps) {\n int claimedtile = Integer.parseInt(map.get(\"claimedTile\"));\n assertEquals(claimedtile, game.getPlayer(playerIndex).getDominoSelection().getDomino().getId()); playerIndex = (playerIndex + 1) % 4;\n\n }\n\t}", "@Test\n\tpublic void testVerifyExistenceOfRoleSeedData() {\n\n\t\tfinal List<Industry> industries = industryDao.getAll();\n\n\t\tAssert.assertTrue(industries.size() == 16);\n\n\t\tboolean otherIndustryFound = false;\n\t\tboolean perimeterIndustryFound = false;\n\n\t\tfor (final Industry industry : industries) {\n\n\t\t\tif (industry.getName().equals(\"Transportation\")) {\n\t\t\t\tperimeterIndustryFound = true;\n\t\t\t} else if (industry.getName().equals(\"Other\")) {\n\t\t\t\totherIndustryFound = true;\n\t\t\t}\n\n\t\t}\n\n\t\tAssert.assertTrue(\"Expected the industry named 'Transportation'. Is seed data populated?\", perimeterIndustryFound);\n\t\tAssert.assertTrue(\"Expected the industry named 'Other'. Is seed data populated?\", otherIndustryFound);\n\n\t}", "boolean hasMent();", "@Override\r\n public OntTestCase[] getTests() {\r\n return new OntTestCase[] {\r\n new OntTestCase( \"Individual.sameAs\", true, false, true, false ) {\r\n /** Note: 6/Nov/2003 - updated to use sameAs not sameIndividualAs, following changes to OWL spec /\r\n @Override\r\n public void ontTest( OntModel m ) throws Exception {\r\n Profile prof = m.getProfile();\r\n OntClass A = m.createClass( NS + \"A\" );\r\n Individual x = m.createIndividual( A );\r\n Individual y = m.createIndividual( A );\r\n Individual z = m.createIndividual( A );\r\n\r\n x.addSameAs( y );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n assertEquals( \"x should be the same as y\", y, x.getSameAs() );\r\n assertTrue( \"x should be the same as y\", x.isSameAs( y ) );\r\n\r\n x.addSameAs( z );\r\n assertEquals( \"Cardinality should be 2\", 2, x.getCardinality( prof.SAME_AS() ) );\r\n iteratorTest( x.listSameAs(), new Object[] {z,y} );\r\n\r\n x.setSameAs( z );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n assertEquals( \"x should be same indiv. as z\", z, x.getSameAs() );\r\n\r\n x.removeSameAs( y );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n x.removeSameAs( z );\r\n assertEquals( \"Cardinality should be 0\", 0, x.getCardinality( prof.SAME_AS() ) );\r\n }\r\n },\r\n\r\n new OntTestCase( \"Individual.hasOntClass\", true, true, true, true ) {\r\n @Override\r\n protected void ontTest( OntModel m ) throws Exception {\r\n OntClass A = m.createClass( NS + \"A\" );\r\n OntClass B = m.createClass( NS + \"B\" );\r\n Individual x = m.createIndividual( A );\r\n\r\n assertTrue( x.hasOntClass( A ) );\r\n assertFalse( x.hasOntClass( B ) );\r\n }\r\n },\r\n\r\n new OntTestCase( \"Individual.hasOntClass direct\", true, true, true, true ) {\r\n @Override\r\n protected void ontTest( OntModel m ) throws Exception {\r\n OntClass A = m.createClass( NS + \"A\" );\r\n OntClass B = m.createClass( NS + \"B\" );\r\n A.addSubClass( B );\r\n\r\n Individual x = m.createIndividual( A );\r\n x.addRDFType( B );\r\n\r\n assertTrue( x.hasOntClass( A, false ) );\r\n assertTrue( x.hasOntClass( B, false ) );\r\n\r\n assertTrue( x.hasOntClass( A, false ) );\r\n assertTrue( x.hasOntClass( B, true ) );\r\n\r\n }\r\n },\r\n\r\n new OntTestCase( \"Individual.hasOntClass string\", true, true, true, true ) {\r\n @Override\r\n protected void ontTest( OntModel m ) throws Exception {\r\n OntClass A = m.createClass( NS + \"A\" );\r\n\r\n Individual x = m.createIndividual( A );\r\n\r\n assertTrue( x.hasOntClass( NS + \"A\" ) );\r\n }\r\n },\r\n\r\n new OntTestCase( \"Individual.getOntClass\", true, true, true, true ) {\r\n @Override\r\n protected void ontTest( OntModel m ) throws Exception {\r\n OntClass A = m.createClass( NS + \"A\" );\r\n Individual x = m.createIndividual( A );\r\n\r\n assertEquals( A, x.getOntClass() );\r\n }\r\n },\r\n\r\n new OntTestCase( \"Individual.getOntClass direct\", true, true, true, true ) {\r\n @Override\r\n protected void ontTest( OntModel m ) throws Exception {\r\n OntClass A = m.createClass( NS + \"A\" );\r\n OntClass B = m.createClass( NS + \"B\" );\r\n A.addSubClass( B );\r\n\r\n Individual x = m.createIndividual( A );\r\n x.addRDFType( B );\r\n\r\n // should never get A since it's not a direct class\r\n assertEquals( B, x.getOntClass( true ) );\r\n }\r\n },\r\n\r\n new OntTestCase( \"Individual.listOntClasses\", true, true, true, true ) {\r\n @Override\r\n protected void ontTest( OntModel m ) throws Exception {\r\n OntClass A = m.createClass( NS + \"A\" );\r\n OntClass B = m.createClass( NS + \"B\" );\r\n A.addSubClass( B );\r\n\r\n Individual x = m.createIndividual( A );\r\n x.addRDFType( B );\r\n\r\n iteratorTest( x.listOntClasses( false ), new Object[] {A,B} );\r\n\r\n // now check the return types\r\n for (Iterator<OntClass> i = x.listOntClasses( false ) ; i.hasNext(); ) {\r\n assertNotNull( i.next() );\r\n }\r\n }\r\n },\r\n\r\n new OntTestCase( \"Individual.listOntClasses direct\", true, true, true, true ) {\r\n @Override\r\n protected void ontTest( OntModel m ) throws Exception {\r\n OntClass A = m.createClass( NS + \"A\" );\r\n OntClass B = m.createClass( NS + \"B\" );\r\n A.addSubClass( B );\r\n\r\n Individual x = m.createIndividual( A );\r\n x.addRDFType( B );\r\n\r\n iteratorTest( x.listOntClasses( true ), new Object[] {B} );\r\n\r\n // now check the return types\r\n for (Iterator<OntClass> i = x.listOntClasses( true ) ; i.hasNext(); ) {\r\n assertNotNull( i.next() );\r\n }\r\n }\r\n },\r\n\r\n new OntTestCase( \"Individual.addOntClass\", true, true, true, true ) {\r\n @Override\r\n protected void ontTest( OntModel m ) throws Exception {\r\n OntClass A = m.createClass( NS + \"A\" );\r\n OntClass B = m.createClass( NS + \"B\" );\r\n A.addSubClass( B );\r\n\r\n Individual x = m.createIndividual( A );\r\n\r\n iteratorTest( x.listOntClasses( false ), new Object[] {A} );\r\n\r\n // add a class\r\n x.addOntClass( B );\r\n\r\n // test again\r\n iteratorTest( x.listOntClasses( false ), new Object[] {A,B} );\r\n for (Iterator<OntClass> i = x.listOntClasses( false ) ; i.hasNext(); ) {\r\n assertNotNull( i.next() );\r\n }\r\n }\r\n },\r\n\r\n new OntTestCase( \"Individual.setOntClass\", true, true, true, true ) {\r\n @Override\r\n protected void ontTest( OntModel m ) throws Exception {\r\n OntClass A = m.createClass( NS + \"A\" );\r\n OntClass B = m.createClass( NS + \"B\" );\r\n A.addSubClass( B );\r\n\r\n Individual x = m.createIndividual( A );\r\n\r\n iteratorTest( x.listOntClasses( false ), new Object[] {A} );\r\n\r\n // replace the class\r\n x.setOntClass( B );\r\n\r\n // test again\r\n iteratorTest( x.listOntClasses( false ), new Object[] {B} );\r\n for (Iterator<OntClass> i = x.listOntClasses( false ) ; i.hasNext(); ) {\r\n assertNotNull( i.next() );\r\n }\r\n }\r\n },\r\n\r\n new OntTestCase( \"Individual.removeOntClass\", true, true, true, true ) {\r\n @Override\r\n protected void ontTest( OntModel m ) throws Exception {\r\n OntClass A = m.createClass( NS + \"A\" );\r\n OntClass B = m.createClass( NS + \"B\" );\r\n\r\n Individual x = m.createIndividual( A );\r\n x.addOntClass( B );\r\n\r\n iteratorTest( x.listOntClasses( false ), new Object[] {A,B} );\r\n\r\n x.removeOntClass( A );\r\n iteratorTest( x.listOntClasses( false ), new Object[] {B} );\r\n\r\n x.removeOntClass( A );\r\n iteratorTest( x.listOntClasses( false ), new Object[] {B} );\r\n\r\n x.removeOntClass( B );\r\n iteratorTest( x.listOntClasses( false ), new Object[] {} );\r\n }\r\n },\r\n };\r\n }", "@Test\r\n\tpublic void testContainsAll() {\r\n\t\tDoubleList sample = new DoubleList(new Munitions(2, 3, \"iron\"));\r\n\t\tAssert.assertTrue(list.containsAll(sample));\r\n\t\tsample.add(new Munitions(2, 2, \"iron\"));\r\n\t\tAssert.assertFalse(list.containsAll(sample));\r\n\t}", "@Test\n public void testSetValue() throws Exception {\n\n Map<String, IMetaData<SampleMark>> name2MetaData;\n name2MetaData = factory.class2MetaDataByFullPath(Person.class);\n\n for (Person p : persons) {\n\n float weight = SampleDataGenerator.getSampleWeight(random, p.weight);\n int age = p.getAge();\n String lastName = p.getLastname();\n\n IMetaData<SampleMark> metaData =\n name2MetaData.get(\"pl.softech.reflection.SampleDataGenerator$Person\|weight\");\n metaData.setValue(p, weight);\n Person.assertPerson(p, lastName, weight, age);\n }\n\n for (Person p : persons) {\n\n float weight = p.weight;\n int age = p.getAge();\n String lastName =\n SampleDataGenerator.getSampleLastName(random, p.getLastname());\n IMetaData<SampleMark> metaData =\n name2MetaData.get(\"pl.softech.reflection.SampleDataGenerator$Person\|lastname\");\n metaData.setValue(p, lastName);\n Person.assertPerson(p, lastName, weight, age);\n }\n\n name2MetaData = factory.class2MetaDataByFullPath(Car.class);\n for (Car c : cars) {\n\n Driver driver = c.getDriver();\n String lastName = driver.getLastname();\n float weight = SampleDataGenerator.getSampleWeight(random, driver.weight);\n int age = driver.getAge();\n boolean hasDrivingLicense = driver.hasDrivingLicense;\n\n Engine engine = c.getEngine();\n String productName =\n SampleDataGenerator.getSampleProductName(random, engine.productName);\n\n Oil oil = engine.oil;\n String producentName = oil.producentName;\n String vendorName = oil.vendorName;\n\n IMetaData<SampleMark> metaData =\n name2MetaData.get(\"pl.softech.reflection.SampleDataGenerator$Car\|driver\|weight\");\n\n metaData.setValue(c, weight);\n\n metaData =\n name2MetaData.get(\"pl.softech.reflection.SampleDataGenerator$Car\|engine\|productName\");\n\n metaData.setValue(c, productName);\n\n Driver.assertDriver(driver, lastName, weight, age,\n hasDrivingLicense);\n\n Engine.assertEngine(engine, productName);\n\n Oil.assertOil(oil, vendorName, producentName);\n\n }\n\n }", "public void test_sf_940570() {\n OntModel m = ModelFactory.createOntologyModel( OntModelSpec.OWL_MEM_RDFS_INF );\n OntClass C = m.createClass( NS + \"C\" );\n Resource a = m.createResource( NS + \"a\", C );\n \n TestUtil.assertIteratorValues( this, m.listIndividuals(), new Object[] {a} );\n \n OntModel dm = ModelFactory.createOntologyModel( OntModelSpec.DAML_MEM_RULE_INF );\n OntClass D = dm.createClass( NS + \"D\" );\n Resource b = dm.createResource( NS + \"b\", D );\n \n TestUtil.assertIteratorValues( this, dm.listIndividuals(), new Object[] {b} );\n }", "protected abstract boolean populateAttributes();", "private void checkMappedByManyToMany(DeployBeanPropertyAssocMany<?> prop) {\n // get the bean descriptor that holds the mappedBy property\n String mappedBy = prop.getMappedBy();\n if (mappedBy == null) {\n if (targetDescriptor(prop).isDraftable()) {\n prop.setIntersectionDraftTable();\n }\n return;\n }\n\n // get the mappedBy property\n DeployBeanDescriptor<?> targetDesc = targetDescriptor(prop);\n DeployBeanPropertyAssocMany<?> mappedAssocMany = mappedManyToMany(prop, mappedBy, targetDesc);\n\n // define the relationships/joins on this side as the\n // reverse of the other mappedBy side ...\n DeployTableJoin mappedIntJoin = mappedAssocMany.getIntersectionJoin();\n DeployTableJoin mappendInverseJoin = mappedAssocMany.getInverseJoin();\n\n String intTableName = mappedIntJoin.getTable();\n\n DeployTableJoin tableJoin = prop.getTableJoin();\n mappedIntJoin.copyTo(tableJoin, true, targetDesc.getBaseTable());\n\n DeployTableJoin intJoin = new DeployTableJoin();\n mappendInverseJoin.copyTo(intJoin, false, intTableName);\n prop.setIntersectionJoin(intJoin);\n\n DeployTableJoin inverseJoin = new DeployTableJoin();\n mappedIntJoin.copyTo(inverseJoin, false, intTableName);\n prop.setInverseJoin(inverseJoin);\n\n if (targetDesc.isDraftable()) {\n prop.setIntersectionDraftTable();\n }\n }", "@Test\n public void testGetNearbyFriendsInAgivenDistance02() {\n System.out.println(\"getNearbyFriendsInAgivenDistance\");\n User user = null;\n for (User user1 : sn10.getUsersList()) {\n if (user1.getNickname().equals(\"nick0\")) {\n user = user1;\n }\n }\n Double distance = 70.0;\n HashSet<User> expResult = new HashSet();\n expResult.add(new User(\"nick4\", \"[email protected]\"));\n\n HashSet<User> result = sn10.getNearbyFriendsInAgivenDistance(user, distance);\n assertFalse(expResult.equals(result));\n }", "private boolean allMUsSet() {\n\t\tVector meaningUnits = Model.getIllocutionUnitRoots().getMeaningUnits();\n\t\tfor (int i = 0; i < meaningUnits.size(); i++) {\n\t\t\tMeaningUnit mu = (MeaningUnit) meaningUnits.get(i);\n\t\t\tVector sememeGroups = mu.getSememeGroups();\n\t\t\tif (sememeGroups.isEmpty()) {\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}\n\t\treturn true;\n\t}", "@Test\r\n\tpublic void testMultset() {\n\t\tMultiset<Integer> multiSet = HashMultiset.create();\r\n\t\tmultiSet.add(10);\r\n\t\tmultiSet.add(30);\r\n\t\tmultiSet.add(30);\r\n\t\tmultiSet.add(40);\r\n\r\n\t\tassertEquals(2, multiSet.count(30));\r\n\t\tassertEquals(4, multiSet.size());\r\n\t}", "@Test \n\tpublic void testIfNumberisNotInArray()\n\t{\n \tData d = new Data();\n\t\tassertFalse(d.isMember(1)); // 1 is the value not in the array. \n\t}", "void testCanGetList();", "private static void applyRules(Instances itemsets, Instances predictions) {\n\t\tfor (int i=0; i<predictions.numInstances(); ++i) {\n\t\t\tInstance instance = predictions.instance(i);\n\t\t\tboolean covered = true;\n\t\t\tfor (int j= 0; j<itemsets.numInstances(); ++j) {\n\t\t\t\tInstance rule = itemsets.instance(j);\n\t\t\t\tcovered = true;\n\t\t\t\tfor (int k=0; k< itemsets.numAttributes() -1 ; ++k) {\n\t\t\t\t\tif (rule.value(k)==1) {\n\t\t\t\t\t\tcovered = instance.value(k)==1;\n\t\t\t\t\t\tif(!covered){\n\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\tif (covered) {\n\t\t\t\t\t\n\t\t\t\t\tinstance.setClassValue(rule.classValue());\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n public void testGetDiseasesByMgiGeneId() {\r\n String mgiGeneId = \"MGI:95523\";\r\n\r\n Set<Disease> result = instance.getDiseasesByMgiGeneId(mgiGeneId);\r\n// System.out.println(\"Human ortholog diseases for mouse gene \" + mgiGeneId);\r\n// for (Disease disease : result) {\r\n// System.out.println(disease.getDiseaseId() + \" - \" + disease.getTerm());\r\n// }\r\n assertTrue(result.size() >= 14);\r\n\r\n }", "@Import(\"isMembers\")\n\tboolean isMembers();", "@Test \n\tpublic void testIfNumberisInArray()\n\t{\n \tData d = new Data();\n\t\tassertTrue(d.isMember(61)); // 61 is the value of the 0th index of the array. \n\t}", "boolean isSetProbables();", "public void testListClaim(){\n\t}", "@Test\n public void testComAdobeCqSocialGroupClientImplCommunityGroupCollectionComponenProperties() {\n // TODO: test ComAdobeCqSocialGroupClientImplCommunityGroupCollectionComponenProperties\n }", "@Test\r\n\tvoid testRulesList() {\r\n\t\tassertSame(email1.getRulesPerMail().size(), 5);\r\n\t\tassertSame(email3.getRulesPerMail().size(), 2);\r\n\t\tassertNotEquals(email1.getRulesPerMail(), email3.getRulesPerMail());\r\n\t\tassertEquals(email1.getRulesPerMail(), email4.getRulesPerMail());\r\n\t}", "private void doAPITest(Map<Object,Object> table) {\n\t\tint size = table.size();\n\t\tObject key, value;\n\t\t\n\t\tMap<Object,Object> clone = cloneMap(table);\n\t\t\n\t\t// retrieve values using values()\n\t\tCollection<Object> values = table.values();\n\t\t\n\t\t// retrieve keys using keySet()\n\t\tSet<Object> keySet = table.keySet();\t\t\n\t\tObject[] keySetArray = keySet.toArray();\n\t\t\n\t\tint step = 1 + random.nextInt(5);\n\t\t\n\t\tfor (int i=0; i<keySetArray.length; i=i+step)\n\t\t{\n\t\t\tkey = keySetArray[i];\n\t\t\t// retrieve value\n\t\t\tvalue = table.get(key);\n\t\t\t\n\t\t\t// assert value is in the table\n\t\t\tassertTrue(table.containsValue(value));\n\t\t\t/\n\t\t\t * assertTrue(table.contains(value)); // Removed as not supported by the Map interface, and identical to containsValue\n\t\t\t * if value is a wrapped key then check it's equal \n\t\t\t * to the key \n\t\t\t /\n\t\t\tif (value instanceof CustomValue)\n\t\t\t{\n\t\t\t\tassertEquals(key, ((CustomValue)value).key);\n\t\t\t}\n\t\t\t\n\t\t\t// count how many occurrences of this value there are\n\t\t\tint occurrences = numberOccurrences(values, value);\n\t\t\t\n\t\t\t// find the Map.Entry\n\t\t\tSet<Map.Entry<Object, Object>> entrySet = table.entrySet();\n\t\t\tIterator<Map.Entry<Object, Object>> entrySetIterator = entrySet.iterator();\n\t\t\tMap.Entry<Object,Object> entry = null;\n\t\t\tdo\n\t\t\t{\n\t\t\t\tentry = entrySetIterator.next();\n\t\t\t} while (!entry.getKey().equals(key));\n\t\t\t\n\t\t\t// remove from table in different ways\n\t\t\tswitch (i % 3)\n\t\t\t{\n\t\t\tcase 0:\n\t\t\t\ttable.remove(key);\n\t\t\t\tbreak;\n\t\t\tcase 1:\n\t\t\t\tkeySet.remove(key);\n\t\t\t\tbreak;\n\t\t\tdefault:\n\t\t\t\t\n\t\t\t\tentrySet.remove(entry);\n\t\t\t}\n\t\t\t\n\t\t\t// assert key is no longer in the table\n\t\t\tassertFalse(table.containsKey(key));\n\t\t\t// assert key is no longer in the keyset\n\t\t\tassertFalse(keySet.contains(key));\n\t\t\t// assert key is no longer in the entrySet\n\t\t\tassertFalse(entrySet.contains(entry));\n\t\t\t\n\t\t\t// assert that there's one fewer of this value in the hashtable\n\t\t\tassertEquals(occurrences, numberOccurrences(values, value) + 1);\n\t\t\t\n\t\t\t// re-insert key\n\t\t\ttable.put(key, value);\n\t\t\t\n\t\t\t// assert key is in the table\n\t\t\tassertTrue(table.containsKey(key));\n\t\t\t// assert key is in the keyset\n\t\t\tassertTrue(keySet.contains(key));\n\t\t\t// assert EntrySet is same size\n\t\t\tassertEquals(size, entrySet.size());\n\t\t}\n\t\t\n\t\t// test hashtable is the same size\n\t\tassertEquals(size, table.size());\n\t\t\n\t\t// test keySet is expected size\n\t\tassertEquals(size, keySet.size());\n\t\t\n\t\t// retrieve keys using keys()\n\t\tIterator<?> keys = table.keySet().iterator();\n\t\t\n\t\t// remove a subset of elements from the table. store in a map\n\t\tint counter = table.size() / 4;\n\t\tMap<Object,Object> map = new HashMap<Object, Object>();\n\t\twhile (keys.hasNext() && counter-- >= 0)\n\t\t{\n\t\t\tkey = keys.next();\n\t\t\tvalue = table.get(key);\n\t\t\tmap.put(key, value);\n\t\t\tkeys.remove(); // removes the most recent retrieved element\n\t\t}\n\t\t// re-add the elements using putAll\n\t\ttable.putAll(map);\n\t\t\n\t\t// test equal to copy\n\t\tassertEquals(clone, table);\n\t\t\n\t\t// clear the copy\n\t\tclone.clear();\n\t\t\n\t\t// assert size of clone is zero\n\t\tassertEquals(0, clone.size());\n\t\t\n\t\t// assert size of original is the same\n\t\tassertEquals(size, table.size());\n\t}", "public void test5() {\n\t\tSet<String> keySet = member.keySet();\n\t\tfor(String key : keySet) {\n\t\t\tif(key ==\"leess\") {\n\t\t\t\tmember.remove(key);\n\t\t\t}\n\t\t}\n\t}", "@Test \r\n\tvoid testGenerateSquadsShouldPass() {\r\n\t\tModel dataModel = new Model();\r\n\t\t\r\n\t\tdataModel.generateSquads();\r\n\t\t\r\n\t\tArrayList<Squad> squads = dataModel.getSquads();\r\n\t\t\r\n\t\tint size = squads.size();\r\n\t\t\r\n\t\tassertNotEquals(0, size);\r\n\t}", "@Test\r\n public void testGetPopularMovieList() throws MovieDbException {\r\n LOG.info(\"getPopularMovieList\");\r\n List<MovieDb> results = tmdb.getPopularMovieList(LANGUAGE_DEFAULT, 0);\r\n assertTrue(\"No popular movies found\", !results.isEmpty());\r\n }", "@Test\n public void cidades_registadas(){\n for(int cidade=0;cidade<cidadesdisponiveis.size();cidade++){\n assertThat(cache.getCitiesAvailable().contains(cidadesdisponiveis.get(cidade))).isEqualTo(true);\n }\n assertThat(cache.getCitiesAvailable().size()).isEqualTo(6);\n }", "@Test\n\tpublic void testIsPermitted_9()\n\t\tthrows Exception {\n\t\tSimpleAuthorizingAccount fixture = new SimpleAuthorizingAccount();\n\t\tfixture.setSimpleRoles(new HashSet());\n\t\tPermission permission = new AllPermission();\n\n\t\tboolean result = fixture.isPermitted(permission);\n\n\t\t// add additional test code here\n\t\tassertTrue(result);\n\t}", "@Test\r\n public void testColumnHasCards() {\n Game g = new Game();\r\n assertFalse(g.columnHasCards(0));\r\n g.dealFour();\r\n assertTrue(g.columnHasCards(0));\r\n }", "@Test(enabled = false)\n\tpublic void shouldOnlyHaveEligibleMediaModels() {\n\t\tList<BirdModel> list = dao.findAll();\n\n\t\tfor (BirdModel model: list) {\n\t\t\tfor (MediaModel soundModel: model.getSounds()) {\n\t\t\t\tassertTrue(soundModel.isEligible(), String.format(\"Sound model %s isn't eligible\", soundModel.getId()));\n\t\t\t}\n\n\t\t\tfor (MediaModel photoModel: model.getPhotos()) {\n\t\t\t\tassertTrue(photoModel.isEligible(), String.format(\"Photo model %s isn't eligible\", photoModel.getId()));\n\t\t\t}\n\t\t}\n\t}", "@Test\n public void test() {\n MatriculationNumberMatchPredicate predicate =\n new MatriculationNumberMatchPredicate(new MatriculationNumber(VALID_MATRICULATION_NUMBER_AMY));\n assertTrue(predicate\n .test(new PersonBuilder().withMatriculationNumber(VALID_MATRICULATION_NUMBER_AMY).build()));\n\n // different matriculation number -> returns false\n predicate = new MatriculationNumberMatchPredicate(new MatriculationNumber(VALID_MATRICULATION_NUMBER_BOB));\n assertFalse(predicate\n .test(new PersonBuilder().withMatriculationNumber(VALID_MATRICULATION_NUMBER_AMY).build()));\n }", "@Test\n public void testHasAvailable2() {\n Pieces inv = new Pieces();\n boolean expResult = false;\n for (Color color : Color.values()) {\n for (Species species : Species.values()) {\n /In next for, i is not increased, because the limit is reducing/\n for (int i = 0; i < inv.getNbAnimals(color, species);) {\n inv.getAnimal(color, species);\n }\n }\n }\n boolean result = inv.hasAvailable();\n assertEquals(expResult, result);\n }", "@Test\r\n public void testTransferMetalInfo() {\r\n System.out.println(\"transferMetalInfo - Table have records\");\r\n List<Vector> result = KnowledgeSystemBeanInterface.transferMetalInfo();\r\n assertEquals(result.size(), 15);\r\n System.out.println(\"testTransferMetalInfo ---------------------------------------------------- Done\");\r\n }", "@Test\n public void testAddEligibleSetters() {\n System.out.println(\"addEligibleSetters\");\n int[] IDs = new int[2];\n IDs[0] = 98;\n IDs[1] = 99;\n\n instance.addEligibleSetters(IDs);\n\n assertTrue(\"Setters not added to eligibility lists\", instance.isSetterEligible(98)\n && instance.isSetterEligible(99));\n // TODO review the generated test code and remove the default call to fail.\n // fail(\"The test case is a prototype.\");\n }", "@Test\n public void testGetInfluentialUsers01() {\n System.out.println(\"getInfluentialUsers\");\n\n Set<User> expResult = new HashSet<>();\n expResult.add(new User(\"nick3\", \"[email protected]\"));\n expResult.add(new User(\"nick5\", \"[email protected]\"));\n expResult.add(new User(\"nick8\", \"[email protected]\"));\n\n Set<User> result = sn10.getInfluentialUsers();\n assertEquals(expResult, result);\n }", "@Test\n\tvoid testLondonUsersDataPresent() {\n\t\tassertNotNull(londonUsersList);\n\t\tassertTrue(londonUsersList.size() == 6);\n\t}", "@Test\r\n\tpublic void testAdd() {\r\n\t\tlist.add(new Munitions(23, 24, \"cuprum\"));\r\n\t\tAssert.assertEquals(16, list.size());\r\n\t\tAssert.assertTrue(list.get(15).equals(new Munitions(23, 24, \"cuprum\")));\r\n\t}", "@Test\n\tpublic void testSectionMembersReconciled() throws Exception {\n\t\tMembership member = (Membership)cmService.getSectionMemberships(\"biology_101_01_lec01\").iterator().next();\n\t\tAssert.assertEquals(\"assistant\", member.getRole());\n\t\t\n\t\t// Add a new membership\n\t\tMembership newMember = cmAdmin.addOrUpdateSectionMembership(\"foo\", \"bar\", \"biology_101_01_lec01\",\"active\");\n\t\t\n\t\t// Ensure it was added\n\t\tAssert.assertTrue(cmService.getSectionMemberships(\"biology_101_01_lec01\").contains(newMember));\n\t\t\n\t\t// Reconcile again\n\t\tjob.syncAllCmObjects();\n\t\t\n\t\t// Ensure that the new member was removed\n\t\tAssert.assertFalse(cmService.getSectionMemberships(\"biology_101_01_lec01\").contains(newMember));\n\t}", "@Test\n public void testAddMaterialMultipleMaterial() {\n String[] materials = new String[]{\"material1\", \"material2\", \"material3\"};\n\n for (int i = 0; i < materials.length; i++) {\n planned.addMaterials(materials[i]);\n }\n\n assertEquals(planned.getMaterials().size(), materials.length);\n\n for (int i = 0; i < materials.length; i++) {\n assertTrue(planned.getMaterials().contains(materials[i]));\n }\n\n }", "@Test\n\tpublic void testIsPermitted_5()\n\t\tthrows Exception {\n\t\tSimpleAuthorizingAccount fixture = new SimpleAuthorizingAccount();\n\t\tfixture.setSimpleRoles(new HashSet());\n\t\tPermission permission = new AllPermission();\n\n\t\tboolean result = fixture.isPermitted(permission);\n\n\t\t// add additional test code here\n\t\tassertTrue(result);\n\t}", "@Test\n void testSetOf6() {\n testSetOfSuccess(TestSetOf6.class, new TestSetOf6(), ASN1Integer.valueOf(1L), ASN1Integer.valueOf(2L),\n ASN1Integer.valueOf(3L));\n\n testSetOfFailure(TestSetOf6.class, new TestSetOf6(), ASN1Integer.valueOf(1L), ASN1Integer.valueOf(2L));\n }", "@Test\r\n public void lookProfile() {\n assertNull(Activity.find(\"select a from Activity a where a.member = ?\", member).first());\r\n\r\n // Our member looked at an other member profile\r\n final Member other = createMember(\"other\");\r\n other.lookedBy(member);\r\n \r\n // One activity for member\r\n Activity a = Activity.find(\"select a from Activity a where a.member = ?\", member).first();\r\n assertActivity(a);\r\n assertTrue(a instanceof LookProfileActivity);\r\n LookProfileActivity lpa = (LookProfileActivity) a;\r\n assertEquals(member, lpa.member);\r\n assertEquals(other, lpa.other);\r\n }", "@Test\n public void testGetRecipes() throws AmountOfRecipeException, DuplicatedRecipeException{\n boolean ok = CM.addRecipe(r1);\n ok = CM.addRecipe(r2);\n ok = CM.addRecipe(r3);\n Vector<Recipe> recipes = CM.getRecipes();\n assertEquals(3,recipes.size());\n assertTrue(recipes.contains(r1));\n assertTrue(recipes.contains(r2));\n assertTrue(recipes.contains(r3));\n }", "public boolean isMember(int k) {\n\t \n\t int a = sparse[k];\n\n\t if (a < members && dense[a] == k) \n\t \treturn true;\n\t else\n\t \treturn false;\n\n\t}", "@Test\n\tpublic void testFind_Value_Positive() throws Exception {\n\t\t\t SET setarray= new SET( new int[]{1,2,3,4,5});\n\t\t\t assertTrue(setarray.isMember(4) );\t \n\t}", "public void testGetMultiplicity_1_accuracy() {\n instance.setMultiplicity(multiplicity);\n assertTrue(\"The multiplicity is not set properly.\", multiplicity == instance.getMultiplicity());\n }", "@Test\n\tpublic void testIsPermittedAll_5()\n\t\tthrows Exception {\n\t\tSimpleAuthorizingAccount fixture = new SimpleAuthorizingAccount();\n\t\tfixture.setSimpleRoles(new HashSet());\n\t\tCollection<Permission> permissions = new Vector();\n\n\t\tboolean result = fixture.isPermittedAll(permissions);\n\n\t\t// add additional test code here\n\t\tassertTrue(result);\n\t}", "@Test\r\n public void testIsMatin() {\r\n System.out.println(\"***************\");\r\n System.out.println(\"Test : isMatin\");\r\n Cours_Reservation instance = new Cours_Reservation();\r\n instance.setMatin(false);\r\n boolean expResult = false;\r\n boolean result = instance.isMatin();\r\n assertEquals(expResult, result);\r\n }", "@Test\n\tpublic void testIsPermitted_7()\n\t\tthrows Exception {\n\t\tSimpleAuthorizingAccount fixture = new SimpleAuthorizingAccount();\n\t\tfixture.setSimpleRoles(new HashSet());\n\t\tPermission permission = new AllPermission();\n\n\t\tboolean result = fixture.isPermitted(permission);\n\n\t\t// add additional test code here\n\t\tassertTrue(result);\n\t}", "@Test\n\tpublic void testInstanciaMrMe(){\n\t\tassertTrue(MrMe instanceof MrMeeseeks);\n\t}", "@Test\r\n\tpublic void teachingUnitContainsPersons() {\r\n\t\tassertTrue(teachu1.containsPerson(\"ErK\"));\r\n\t\tassertTrue(teachu1.containsPerson(\"AlP\"));\r\n\t\tassertFalse(teachu1.containsPerson(\"MaP\"));\r\n\t}", "@Test\n\tvoid testAllUsersDataPresent() {\n\t\tassertNotNull(allUserList);\n\t\tassertTrue(allUserList.size() == 1000);\n\t}", "@Test\n public void testGetReturnsTheCorrectVersionNumberAndAttributes() throws Exception {\n initialiseOptimisticPersister();\n GetAttributesRequest simpleDBRequest = new GetAttributesRequest(testSimpleDBDomainName,\n testItemName);\n simpleDBRequest.setConsistentRead(true);\n\n // First assert that our allAttribute set has both version and inactive\n // attributes (which should get filtered out).\n assertTrue(\"AllAttribute list should contain an inactive attribute\", allAttributes.stream()\n .filter(attribute -> attribute.getValue().startsWith(\"Inactive\")).count() > 0);\n assertTrue(\"AllAttribute list should contain a version number attribute\", allAttributes\n .stream().filter(attribute -> attribute.getName().equals(versionAttributeName)).count() > 0);\n\n GetAttributesResult getAttributesResult = new GetAttributesResult();\n getAttributesResult.setAttributes(allAttributes);\n mockery.checking(new Expectations() {\n {\n allowing(mockSimpleDBClient).getAttributes(with(equal(simpleDBRequest)));\n will(returnValue(getAttributesResult));\n }\n });\n\n // ACT\n ImmutablePair<Optional<Integer>, Set<Attribute>> result = optimisticPersister.get(testItemName);\n\n // ASSERT\n assertTrue(\"OptimisticPersister should return the correct attributes. Actual: \" + result.right\n + \", Expected: \" + activeNonVersionAttributes,\n result.right.equals(activeNonVersionAttributes));\n assertTrue(\"OptimisticPersister should return a version number\", result.left.isPresent());\n assertTrue(\"OptimisticPersister should return the correct version number\", result.left.get()\n .equals(testVersionNumber));\n }", "public static boolean testTableGet() {\r\n try {\r\n for (int i = 0; i < 6; i++) {\r\n if (!pokemonEq(table.get(testList[i].getName()), testList[i]))\r\n return false;\r\n }\r\n } catch (NoSuchElementException e) {\r\n return false;\r\n }\r\n return true;\r\n }", "public void testAbstractHelperClass() {\n assertFalse(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"body\", \"x\"));\n assertEquals(Collections.singletonList(\"line\"),\n BLIP_SCHEMA_CONSTRAINTS.getRequiredInitialChildren(\"body\"));\n assertEquals(Collections.singletonList(\"line\"),\n BLIP_SCHEMA_CONSTRAINTS.getRequiredInitialChildren(\"textarea\"));\n assertEquals(Collections.emptyList(),\n BLIP_SCHEMA_CONSTRAINTS.getRequiredInitialChildren(\"line\"));\n assertTrue(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"reply\", \"id\", \"...\"));\n assertTrue(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"reply\", \"id\", \"b+sdf\"));\n assertTrue(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"line\", \"t\", \"h3\"));\n assertFalse(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"line\", \"t\", \"z\"));\n assertTrue(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"image\", \"attachment\"));\n assertTrue(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"image\", \"attachment\", \"blahblah\"));\n assertFalse(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"image\", \"something\"));\n assertFalse(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"image\", \"something\", \"stuff\"));\n assertFalse(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"caption\", \"something\"));\n assertFalse(\n BLIP_SCHEMA_CONSTRAINTS.permitsAttribute(\"caption\", \"something\", \"stuff\"));\n assertTrue(\n BLIP_SCHEMA_CONSTRAINTS.permitsChild(\"body\", \"line\"));\n assertTrue(\n BLIP_SCHEMA_CONSTRAINTS.permitsChild(\"textarea\", \"line\"));\n assertTrue(\n BLIP_SCHEMA_CONSTRAINTS.permitsChild(null, \"body\"));\n assertFalse(\n BLIP_SCHEMA_CONSTRAINTS.permitsChild(null, \"blah\"));\n assertEquals(PermittedCharacters.BLIP_TEXT,\n BLIP_SCHEMA_CONSTRAINTS.permittedCharacters(\"body\"));\n assertEquals(PermittedCharacters.NONE,\n BLIP_SCHEMA_CONSTRAINTS.permittedCharacters(\"line\"));\n assertEquals(PermittedCharacters.NONE,\n BLIP_SCHEMA_CONSTRAINTS.permittedCharacters(null));\n }", "@Test\n public void TEST_FR_SELECT_DIFFICULTY_MAP() {\n Map easyMap = new Map(\"Map1/Map1.tmx\", 1000, \"easy\");\n easyMap.createLanes();\n Map mediumMap = new Map(\"Map1/Map1.tmx\", 1000, \"medium\");\n mediumMap.createLanes();\n Map hardMap = new Map(\"Map1/Map1.tmx\", 1000, \"hard\");\n hardMap.createLanes();\n\n assertTrue((countObstacles(hardMap) >= countObstacles(mediumMap)) && (countObstacles(mediumMap) >= countObstacles(easyMap)));\n assertTrue((countPowerups(hardMap) <= countPowerups(mediumMap)) && (countPowerups(mediumMap) <= countPowerups(easyMap)));\n }", "@Test(timeout = 4000)\n public void test075() throws Throwable {\n DecisionTable decisionTable0 = new DecisionTable();\n String string0 = Evaluation.getGlobalInfo(decisionTable0);\n assertEquals(\"\\nSynopsis for weka.classifiers.rules.DecisionTable:\\n\\nClass for building and using a simple decision table majority classifier.\\n\\nFor more information see: \\n\\nRon Kohavi: The Power of Decision Tables. In: 8th European Conference on Machine Learning, 174-189, 1995.\", string0);\n }", "@Test\n\tpublic void testIsPermitted_8()\n\t\tthrows Exception {\n\t\tSimpleAuthorizingAccount fixture = new SimpleAuthorizingAccount();\n\t\tfixture.setSimpleRoles(null);\n\t\tPermission permission = new AllPermission();\n\n\t\tboolean result = fixture.isPermitted(permission);\n\n\t\t// add additional test code here\n\t\tassertTrue(result);\n\t}", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "static boolean allMembersArePartOf(Set<NuState> members, NuAutomaton nua) {\n\t\tfor (final NuState member : members)\n\t\t\tif (member.nua != nua)\n\t\t\t\treturn false;\n\t\treturn true;\n\t}", "@Test\n public void testEquals04() {\n System.out.println(\"equals\");\n\n Set<City> cities = new HashSet<>();\n cities.add(new City(new Pair(41.243345, -8.674084), \"city0\", 28));\n cities.add(new City(new Pair(41.237364, -8.846746), \"city1\", 72));\n cities.add(new City(new Pair(40.519841, -8.085113), \"city2\", 81));\n cities.add(new City(new Pair(41.118700, -8.589700), \"city3\", 42));\n cities.add(new City(new Pair(41.467407, -8.964340), \"city4\", 64));\n cities.add(new City(new Pair(41.337408, -8.291943), \"city5\", 74));\n cities.add(new City(new Pair(41.314965, -8.423371), \"city6\", 80));\n cities.add(new City(new Pair(40.822244, -8.794953), \"city7\", 11));\n cities.add(new City(new Pair(40.781886, -8.697502), \"city8\", 7));\n cities.add(new City(new Pair(40.851360, -8.136585), \"city9\", 65));\n\n Object otherObject = new SocialNetwork(new HashSet(), cities);\n boolean result = sn10.equals(otherObject);\n assertFalse(result);\n }", "public void setMembership(final boolean theMembership) {\r\n myMembership = theMembership;\r\n }", "@Test\n public void testGetForumByUser() {\n try {\n List<ForumDTO> forumDTOS = forumService.getForumsByUser(USER_ID);\n assertTrue(\n forumDTOS.stream()\n .map(ForumDTO::getId)\n .collect(Collectors.toSet())\n .contains(FORUM_ID)\n );\n assertTrue(\n forumDTOS.stream()\n .map(ForumDTO::getId)\n .collect(Collectors.toSet())\n .contains(FORUM_LOCKED_ID)\n );\n } catch (Exception e) {\n fail(e.getMessage());\n }\n }", "public void buildMembership() {\r\n\t\tif (pointList == null \|\| pointList.isEmpty())\r\n\t\t\treturn;\r\n\r\n\t\t/ clear previous membership records /\r\n\t\tfor (Group g : groupList)\r\n\t\t\tg.memberList.clear();\r\n\r\n\t\t/ update membership */\r\n\t\tList<Double> distanceList;\r\n\t\tfor (int i = 0; i < pointList.size(); i++) {\r\n\t\t\tdistanceList = new ArrayList<>();\r\n\r\n\t\t\tfor (double[] centerPoint : centerList)\r\n\t\t\t\tdistanceList.add(MathLib.Distance.euclidean(centerPoint, pointList.get(i)));\r\n\t\t\tint idx = MathLib.getRank(distanceList, true)[0];\r\n\t\t\tcenterAssignment.set(i, idx);\r\n\t\t\tgroupList.get(idx).memberList.add(i);\r\n\t\t}\r\n\t}", "boolean hasMaterialization(Object groupID) throws Exception;", "public static boolean testMyFavoriteGetAll() {\r\n MyFavorite inst = new MyFavorite(10);\r\n for (Pokemon item : testList) {\r\n inst.put(item.getName(), item);\r\n }\r\n LinkedList<Pokemon> list = inst.getAll();\r\n if (list.size() != 6)\r\n return false;\r\n for (Pokemon item : testList) {\r\n if (!list.contains(item)) {\r\n return false;\r\n }\r\n }\r\n return true;\r\n }", "@Test(timeout = 4000)\n public void test063() throws Throwable {\n Boolean boolean0 = SQLUtil.mutatesStructure(\"\");\n assertFalse(boolean0);\n }", "@Test\n public void testGetManifestationById() {\n System.out.println(\"getManifestationById\");\n String manifestationId = \"m1\";\n DataDeichmanAdapterMock instance = new DataDeichmanAdapterMock();\n Model expResult = null;\n Model result = instance.getManifestationById(manifestationId);\n assertNotNull(result);\n assertFalse(result.isEmpty());\n }" ]	[ "0.63243693", "0.60804546", "0.5567289", "0.5449207", "0.5433412", "0.5420344", "0.5398108", "0.53653514", "0.5319218", "0.53094226", "0.5291866", "0.5268957", "0.5196393", "0.5184285", "0.51489586", "0.5127189", "0.5124405", "0.50893426", "0.50654477", "0.50559026", "0.5026981", "0.5023174", "0.5020911", "0.5016641", "0.5014333", "0.50029993", "0.49429756", "0.4935569", "0.49349892", "0.49254662", "0.49240482", "0.4920308", "0.48992428", "0.4894648", "0.4894536", "0.48895654", "0.48878685", "0.48810953", "0.48769462", "0.48621607", "0.4855895", "0.4854241", "0.484953", "0.4834337", "0.48296714", "0.48295936", "0.48278305", "0.48233956", "0.48143628", "0.48117113", "0.48107934", "0.48085034", "0.48077866", "0.48076788", "0.48061353", "0.48035297", "0.4800793", "0.47980028", "0.4797712", "0.47961202", "0.47934055", "0.47881117", "0.4787548", "0.47871834", "0.4785645", "0.47829244", "0.4782427", "0.4780248", "0.4777772", "0.47766095", "0.4769083", "0.47675914", "0.47541064", "0.47455454", "0.4745042", "0.47400698", "0.47382894", "0.4737649", "0.47369424", "0.47328866", "0.47324133", "0.4727034", "0.47239935", "0.47233772", "0.47149754", "0.471018", "0.470245", "0.47001958", "0.46989098", "0.46960756", "0.4695074", "0.46876127", "0.46875623", "0.46861842", "0.46807286", "0.46787888", "0.46781093", "0.4676061", "0.4675231", "0.4673908" ]	0.85010624	0
Test of forwardCommittor method, of class MarkovModelUtilities.	@Test public void testForwardCommittor() { IDoubleArray M = null; IIntArray A = null; IIntArray B = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.forwardCommittor(M, A, B); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testBackwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.backwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void navigateForward() throws Exception {\n }", "boolean isForwardPredicted()\n {\n return ((mbType & FORWARD) != 0);\n }", "void moveForward();", "abstract public void moveForward();", "@Test\n\tpublic void advanceAssemblyLineTest(){\n\t\tcmcSystem.logInUser(1);\n\t\tOrder order1 = makeOrder(new ModelC());\n\t\tOrder order2 = makeOrder(new ModelX());\n\t\tOrder order3 = makeOrder(new ModelC());\n\t\tschedule.placeOrder(order1);\n\t\tschedule.placeOrder(order2);\n\t\tschedule.placeOrder(order3);\n\t\tassertTrue(assemblyLine.getWorkstations()[0].isReady());\n\t\tassemblyLine.advance(order1);\n\t\tassertFalse(assemblyLine.isReadyToAdvance());\n\t\tassertFalse(assemblyLine.getWorkstations()[0].isReady());\n\t}", "@Test\n public void testTankMoving() {\n tank.moveRight();\n assertEquals(tank.getMovingRight(), true);\n\n tank.moveLeft();\n assertEquals(tank.getMovingLeft(), true);\n\n tank.notMoveLeft();\n assertEquals(tank.getMovingLeft(), false);\n\n tank.notMoveRight();\n assertEquals(tank.getMovingRight(), false);\n }", "@Test\n public void testLeft(){\n controller.setLeft(true);\n assertTrue(controller.getLeft());\n }", "private void moveForwards() {\n\t\tposition = MoveAlgorithmExecutor.getAlgorithmFromCondition(orientation).execute(position);\n\t\t\n\t\t// Extracted the condition to check if tractor is in Ditch\n\t\tif(isTractorInDitch()){\n\t\t\tthrow new TractorInDitchException();\n\t\t}\n\t}", "@Test\n public void testSolveBackwardMaze(){\n try {\n //link row 1\n largeMaze.linkPillars(Maze.position(0, 0), Maze.position(1, 0));\n largeMaze.linkPillars(Maze.position(1, 0), Maze.position(2, 0));\n largeMaze.linkPillars(Maze.position(2, 0), Maze.position(3, 0));\n largeMaze.linkPillars(Maze.position(3, 0), Maze.position(4, 0));\n largeMaze.linkPillars(Maze.position(1, 0), Maze.position(1, 1));\n\n //link row 2\n largeMaze.linkPillars(Maze.position(1, 1), Maze.position(2, 1));\n largeMaze.linkPillars(Maze.position(1, 1), Maze.position(1, 2));\n largeMaze.linkPillars(Maze.position(3, 1), Maze.position(4, 1));\n\n //link row 3\n largeMaze.linkPillars(Maze.position(1, 2), Maze.position(1, 3));\n largeMaze.linkPillars(Maze.position(1, 2), Maze.position(2, 2));\n\n //link row 4\n largeMaze.linkPillars(Maze.position(1, 3), Maze.position(0, 3));\n largeMaze.linkPillars(Maze.position(1, 3), Maze.position(2, 3));\n largeMaze.linkPillars(Maze.position(3, 3), Maze.position(4, 3));\n largeMaze.linkPillars(Maze.position(0, 3), Maze.position(0, 4));\n\n //link row 5\n largeMaze.linkPillars(Maze.position(0, 4), Maze.position(1, 4));\n largeMaze.linkPillars(Maze.position(1, 4), Maze.position(2, 4));\n largeMaze.linkPillars(Maze.position(2, 4), Maze.position(3, 4));\n largeMaze.linkPillars(Maze.position(3, 4), Maze.position(4, 4));\n\n //set beginning and end\n largeMaze.setBegin(Maze.position(3, 4));\n largeMaze.setEnd(Maze.position(1, 0));\n shortestPath = MazeSolver.pStar(largeMaze, 25);\n\n assertEquals(null, shortestPath);\n\n } catch (Exception e) {\n fail(\"Unexpected exception was thrown while linking pillars.\");\n }\n }", "@Test\n void _correctThenCaseTest() {\n\n actionApply();\n\n for (ReceiverPair receiverPair : dependedReceiverPairs) {\n for (AssingablePair assingablePair : incompatibleAssignablePairs) {\n verify(model).arithm(receiverPair.getVariableDependentReceiver(), \"!=\", assingablePair.getIndexdependentAssignable());\n }\n }\n }", "@Test\n public void testTankMoveLeftRight() {\n tank.moveRight();\n tank.notMoveLeft();\n tank.tick();\n assertEquals(tank.x(), 321);\n tank.tick();\n tank.tick();\n tank.tick();\n assertEquals(tank.x(), 324);\n\n tank.moveLeft();\n tank.notMoveRight();\n tank.tick();\n tank.tick();\n assertEquals(tank.x(), 322);\n }", "public void moveForward(){\n\t\tSystem.out.println(\"Vehicle moved forward\");\n\t}", "public void testGetFollows() {\n MarkovOne mark = new MarkovOne();\n mark.setTraining(\"this is a test yes this is a test.\");\n System.out.println(mark.getFollows(\".\"));\n }", "public void stepForward() {\n\t\tposition = forwardPosition();\n\t}", "@Override\r\n\tpublic void goForward() {\n\t\t\r\n\t}", "@Test\n\tpublic void CompletePushForwardTest1() {\n\t\tLoadTestCase1WithFirstOrderingExample();\n\t\tRightPush rightPush = new RightPush(this.testCase1, this.testCase1Scenerio);\n\t\tLossCounter counter = new LossCounter(this.testCase1, rightPush.getLossMinimisedParasiteMapping());\n\t\tassertEquals(0, counter.countNumberOfLossEvents());\t\t\t\n\t}", "@Test\n public void testWithPropagator() {\n CelestialBody sun = CelestialBodyFactory.getSun();\n final Frame eci = FramesFactory.getGCRF();\n final Frame ecef = FramesFactory.getITRF(IERSConventions.IERS_2010, true);\n AbsoluteDate date = new AbsoluteDate(2004, 1, 1, utc);\n OneAxisEllipsoid earth = new OneAxisEllipsoid(Constants.WGS84_EARTH_EQUATORIAL_RADIUS,\n Constants.WGS84_EARTH_FLATTENING, ecef);\n Orbit orbit = new KeplerianOrbit(6378137 + 400e3, 1e-3, FastMath.toRadians(50), 0, 0, 0, PositionAngle.TRUE,\n eci, date, Constants.EIGEN5C_EARTH_MU);\n final SpacecraftState ic = new SpacecraftState(orbit);\n\n final AbsoluteDate end = date.shiftedBy(5 * Constants.JULIAN_DAY);\n final AbsoluteDate resetDate = date.shiftedBy(0.8 * Constants.JULIAN_DAY + 0.1);\n\n final SpacecraftState[] lastState = new SpacecraftState[1];\n final OrekitStepHandler stepSaver = interpolator -> {\n final AbsoluteDate start = interpolator.getPreviousState().getDate();\n if (start.compareTo(resetDate) < 0) {\n lastState[0] = interpolator.getPreviousState();\n }\n };\n\n // propagate with state rest to take slightly different path\n NumericalPropagator propagator = getNumericalPropagatorWithDTM(sun, earth, ic);\n propagator.setStepHandler(stepSaver);\n propagator.propagate(resetDate);\n propagator.resetInitialState(lastState[0]);\n propagator.clearStepHandlers();\n SpacecraftState actual = propagator.propagate(end);\n\n // propagate straight through\n propagator = getNumericalPropagatorWithDTM(sun, earth, ic);\n propagator.resetInitialState(ic);\n propagator.clearStepHandlers();\n SpacecraftState expected = propagator.propagate(end);\n\n assertThat(actual.getPVCoordinates(), pvCloseTo(expected.getPVCoordinates(), 1.0));\n\n // propagate with state rest to take slightly different path\n propagator = getNumericalPropagatorWithMSIS(sun, earth, ic);\n propagator.setStepHandler(stepSaver);\n propagator.propagate(resetDate);\n propagator.resetInitialState(lastState[0]);\n propagator.clearStepHandlers();\n actual = propagator.propagate(end);\n\n // propagate straight through\n propagator = getNumericalPropagatorWithMSIS(sun, earth, ic);\n propagator.resetInitialState(ic);\n propagator.clearStepHandlers();\n expected = propagator.propagate(end);\n\n assertThat(actual.getPVCoordinates(), pvCloseTo(expected.getPVCoordinates(), 1.0));\n }", "@Test\n void cupTesting() {\n Assertions.assertFalse(machine.isCupPositioned());\n Assertions.assertFalse(machine.removeCup());\n\n Assertions.assertDoesNotThrow(() -> machine.positionCup());\n\n Assertions.assertTrue(machine.removeCup());\n Assertions.assertFalse(machine.isCupPositioned());\n machine.setCupPositioned(true);\n Assertions.assertTrue(machine.isCupPositioned());\n\n }", "public void testStep() {\n\n DT_TractographyImage crossing = Images.getCrossing();\n\n FACT_FibreTracker tracker = new FACT_FibreTracker(crossing);\n\n Vector3D[] pds = crossing.getPDs(1,1,1);\n\n Vector3D step = tracker.getFirstStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), 0, true);\n\n assertEquals(1.0, pds[0].dot(step.normalized()), 1E-8);\n\n assertEquals(Images.xVoxelDim / 2.0, step.mod(), 0.05);\n \n step = tracker.getFirstStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), 0, false);\n\n assertEquals(-1.0, pds[0].dot(step.normalized()), 1E-8);\n\n step = tracker.getFirstStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), 1, true);\n\n assertEquals(1.0, pds[1].dot(step.normalized()), 1E-8);\n\n\n for (int i = 0; i < 2; i++) {\n\n step = tracker.getNextStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), new Vector3D(pds[i].x + 0.01, pds[i].y + 0.02, pds[i].z + 0.03).normalized());\n\n assertEquals(1.0, pds[i].dot(step.normalized()), 1E-8);\n\n }\n\n \n }", "@java.lang.Override\n public boolean hasForward() {\n return stepInfoCase_ == 13;\n }", "@Test\n void testSidestepMakeMove() {\n final Move moveFinal = Move.newMove(// final modifier for the lambda expression\n \t\tboard,\n \t\tnew HashSet<>(FractionalHex.hexLinedraw(new Hex(-2, -2, 4), new Hex(0, -4, 4))),\n Direction.LOWER_RIGHT,\n player1);\n assertThrows(IllegalMoveException.class, () -> moveFinal.makeMove());\n\n // Executes the move if it's legal.\n Move move = Move.newMove(\n \t\tboard,\n rowOfThreeMarblesFromPlayerOne,\n Direction.UPPER_RIGHT,\n player1);\n gameState.makeMove(move);\n assertTrue(player1.getMarbles().contains(\n board.getField(new Hex(-2, 3, -1)).getMarble()));\n assertNull(board.getField(new Hex(-3, 3, 0)).getMarble());\n }", "@Test\n public void execute() {\n expectedModel.undoActiveCardFolder();\n assertCommandSuccess(new UndoCommand(), model, commandHistory, UndoCommand.MESSAGE_SUCCESS, expectedModel);\n\n // single undoable state in model\n expectedModel.undoActiveCardFolder();\n assertCommandSuccess(new UndoCommand(), model, commandHistory, UndoCommand.MESSAGE_SUCCESS, expectedModel);\n\n // no undoable states in model\n assertCommandFailure(new UndoCommand(), model, commandHistory, UndoCommand.MESSAGE_FAILURE);\n }", "@java.lang.Override\n public boolean hasForward() {\n return stepInfoCase_ == 13;\n }", "@Override\n public void doMove(List<ICrosser> crossers, boolean fromLeftToRightBank) {\n\n }", "private static boolean moveForwardish() {\n if (moveForwardStrict()) return true;\n Direction f = forward;\n forward = f.rotateLeft();\n if (moveForwardStrict()) return true;\n forward = f.rotateRight();\n if (moveForwardStrict()) return true;\n forward = f;\n return false;\n }", "public void testResolvePreTransfer() throws Exception {\n System.out.println(\"resolvePreTransfer\");\n \n instance.resolvePreTransfer();\n \n }", "@Override\n\tpublic void apply(Roadmap roadmap, int index, ModuleString pred, ModuleString succ) {\n\t\t// get predecessor module\n\t\tRoadModule pModule = pred.get(index);\n\t\t// get successor modules\n\t\tRoadModule sModule1 = succ.get(index);\n\t\tRoadModule sModule2 = succ.get(index + 1);\n\t\tRoadModule sModule3 = succ.get(index + 2);\n\t\t// calculate normalized base vector, that is the vector from the\n\t\t// origin vertex of the predecessor to the current vertex\n\t\tVertex v1 = roadmap.getVertex(pModule.vertexId);\n\t\tVertex v2 = roadmap.getVertex(pModule.originVertexId);\n\t\tif(pModule.vertexId == pModule.originVertexId){\n\t\t\tlogger.error(\"vertexIndex == originIndex\");\n\t\t}\n\t\t// logger.debug(\"vId=\" +\n\t\t// pModule.vertexId+\", ovId=\"+pModule.originVertexId);\n\t\t// logger.debug(\"Basevec (\" + v2.x + \",\" + v2.y + \")-(\" + v1.x + \",\" +\n\t\t// v1.y + \")\");\n\t\tdouble x=v1.x - v2.x, y=v1.y - v2.y;\n\t\tVector2d basevec = new Vector2d(x, y);\n\t\tbasevec.normalize();\n\n\t\t// set direction vectors to values\n\t\t// Only apply to streets, or apply to roads if we are sensitive to\n\t\t// patterns.\n\t\tboolean sensitive = ctx.isRoadPatternSensitive();\n\t\t// default. Keep going straight.\n\t\tsModule1.direction = new Vector2d(basevec.x, basevec.y);\n\t\tsModule2.direction = new Vector2d(basevec.x, basevec.y);\n\t\tsModule3.direction = new Vector2d(basevec.x, basevec.y);\n\n\t\t// branching at 90-degree angles.\n\t\tif ((sModule1.roadType != RoadType.ROAD) \|\| sensitive) {\n//\t\t\tlogger.debug(\"basevec = (\" + basevec.x + \",\" + basevec.y + \"). branching LEFT to \" + sModule1.roadType2 + \"(\" + basevec.y + \",\" + (-basevec.x) + \")\");\n\t\t\tlogger.debug(\"Branch left/right!\");\n\t\t\tsModule1.direction = new Vector2d(basevec.y, -basevec.x);\n\t\t} else {\n\t\t\tthrow new IllegalStateException(\"Holy Shit! sModule1 has no direction!\");\n\t\t}\n\t\tif ((sModule2.roadType != RoadType.ROAD) \|\| sensitive) {\n//\t\t\tlogger.debug(\"basevec = (\" + basevec.x + \",\" + basevec.y + \"). branching STRAIGHT to \" + sModule2.roadType2 + \"(\" + basevec.x + \",\" + basevec.y + \")\");\n\t\t\tlogger.debug(\"Go straight!\");\n\t\t\tsModule2.direction = new Vector2d(basevec.x, basevec.y);\n\t\t} else {\n\t\t\tthrow new IllegalStateException(\"Holy Shit! sModule2 has no direction!\");\n\t\t}\n\t\tif ((sModule3.roadType != RoadType.ROAD) \|\| sensitive) {\n//\t\t\tlogger.debug(\"basevec = (\" + basevec.x + \",\" + basevec.y + \"). branching RIGHT to \" + sModule3.roadType2 + \"(\" + (-basevec.y) + \",\" + basevec.x + \")\");\n\t\t\tlogger.debug(\"Branch right/left!\");\n\t\t\tsModule3.direction = new Vector2d(-basevec.y, basevec.x);\n\t\t} else {\n\t\t\tthrow new IllegalStateException(\"Holy Shit! sModule3 has no direction!\");\n\t\t}\n\t}", "protected void propagateAssert(Index inx, Rete engine, WorkingMemory mem)\n\t\t\tthrows AssertException {\n for (int idx=0; idx < this.successorNodes.length; idx++) {\n BaseNode node = this.successorNodes[idx];\n\t\t\tif (node instanceof BaseJoin) {\n\t\t\t\t((BaseJoin) node).assertLeft(inx, engine, mem);\n\t\t\t} else if (node instanceof TerminalNode) {\n\t\t\t\t((TerminalNode) node).assertFacts(inx, engine, mem);\n\t\t\t}\n\t\t}\n\t}", "public void testPreConditions() {\r\n\t //fail(\"Precondition check not implemented!\");\r\n\t assertEquals(true,true);\r\n\t }", "@Test\n public void shouldPredictByRotatingPreviousMoveInReverseDirection() {\n ReverseRotationStrategy strategy = new ReverseRotationStrategy();\n\n strategy.addHistory(Shape.ROCK, Shape.PAPER);\n assertTrue(Arrays.equals(strategy.getNextMoves(), Shape.ROCK.defeatedBy()));\n\n strategy.addHistory(Shape.ROCK, Shape.ROCK);\n assertTrue(Arrays.equals(strategy.getNextMoves(), Shape.SPOCK.defeatedBy()));\n }", "@Test\n public void directionTest() {\n // TODO: test direction\n }", "void onForwardClcked();", "@Test\n void _correctIfCaseTest() {\n\n actionApply();\n\n for (ReceiverPair receiverPair : dependedReceiverPairs) {\n for (AssingablePair assingablePair : incompatibleAssignablePairs) {\n verify(model).arithm(receiverPair.getVariableReceiver(), \"=\", assingablePair.getIndexAssignable());\n }\n }\n }", "@Test\n public void testCorrectUsage() throws\n IOException, AuthorCommitsFailedException {\n EasyMock.expect(mockManager.openRepository(new Project.NameKey(\"trial\")))\n .andReturn(\n RepositoryCache.open(FileKey.lenient(new File(\n \"../../review_site/git\", \"trial.git\"), FS.DETECTED)));\n EasyMock.expect(mockUser.getCapabilities()).andReturn(mockCapability);\n EasyMock.expect(mockCapability.canListAuthorCommits()).andReturn(true);\n replay(mockUser, mockCapability, mockManager);\n List<CommitInfo> expected = new LinkedList<CommitInfo>();\n CommitInfo ex = new CommitInfo();\n ex.setId(\"ede945e22cba9203ce8a0aae1409e50d36b3db72\");\n ex.setAuth(\"Keerath Jaggi <[email protected]> 1401771779 +0530\");\n ex.setMsg(\"init commit\\n\");\n ex.setDate(\"Tue Jun 03 10:32:59 IST 2014\");\n expected.add(ex);\n cmd_test.setCommits(new Project.NameKey(\"trial\"), \"kee\");\n assertEquals(expected, cmd_test.getCommits());\n }", "public boolean isForward() {\n return true;\n }", "@Test\n\tpublic void testForwardStartLoss() throws InvalidGenomeChange {\n\t\tGenomeChange change1 = new GenomeChange(new GenomePosition(refDict, '+', 1, 6640669, PositionType.ZERO_BASED),\n\t\t\t\t\"ACG\", \"CGTT\");\n\t\tAnnotation annotation1 = new BlockSubstitutionAnnotationBuilder(infoForward, change1).build();\n\t\tAssert.assertEquals(infoForward.accession, annotation1.transcript.accession);\n\t\tAssert.assertEquals(1, annotation1.annoLoc.rank);\n\t\tAssert.assertEquals(\"c.1_3delinsCGTT\", annotation1.ntHGVSDescription);\n\t\tAssert.assertEquals(\"p.0?\", annotation1.aaHGVSDescription);\n\t\tAssert.assertEquals(ImmutableSortedSet.of(VariantType.START_LOSS), annotation1.effects);\n\n\t\t// Delete chunk out of first exon, spanning start codon from the left.\n\t\tGenomeChange change2 = new GenomeChange(new GenomePosition(refDict, '+', 1, 6640660, PositionType.ZERO_BASED),\n\t\t\t\t\"CCCTCCAGACC\", \"GTTG\");\n\t\tAnnotation annotation2 = new BlockSubstitutionAnnotationBuilder(infoForward, change2).build();\n\t\tAssert.assertEquals(infoForward.accession, annotation2.transcript.accession);\n\t\tAssert.assertEquals(1, annotation2.annoLoc.rank);\n\t\tAssert.assertEquals(\"c.-9_2delinsGTTG\", annotation2.ntHGVSDescription);\n\t\tAssert.assertEquals(\"p.0?\", annotation2.aaHGVSDescription);\n\t\tAssert.assertEquals(ImmutableSortedSet.of(VariantType.START_LOSS), annotation2.effects);\n\n\t\t// Delete chunk out of first exon, spanning start codon from the right.\n\t\tGenomeChange change3 = new GenomeChange(new GenomePosition(refDict, '+', 1, 6640671, PositionType.ZERO_BASED),\n\t\t\t\t\"GGACGGCTCCT\", \"CTTG\");\n\t\tAnnotation annotation3 = new BlockSubstitutionAnnotationBuilder(infoForward, change3).build();\n\t\tAssert.assertEquals(infoForward.accession, annotation3.transcript.accession);\n\t\tAssert.assertEquals(1, annotation3.annoLoc.rank);\n\t\tAssert.assertEquals(\"c.3_13delinsCTTG\", annotation3.ntHGVSDescription);\n\t\tAssert.assertEquals(\"p.0?\", annotation3.aaHGVSDescription);\n\t\tAssert.assertEquals(ImmutableSortedSet.of(VariantType.START_LOSS), annotation3.effects);\n\n\t\t// Deletion from before transcript, reaching into the start codon.\n\t\tGenomeChange change4 = new GenomeChange(\n\t\t\t\tnew GenomePosition(refDict, '+', 1, 6640399, PositionType.ZERO_BASED),\n\t\t\t\t\"TCTCACCAGGCCCTTCTTCACGACCCTGGCCCCCCATCCAGCATCCCCCCTGGCCAATCCAATATGGCCCCCGGCCCCCGGGAGGCTGTCAGTGTGTTCCAGCCCTCCGCGTGCACCCCTCACCCTGACCCAAGCCCTCGTGCTGATAAATATGATTATTTGAGTAGAGGCCAACTTCCCGTTTCTCTCTCTTGACTCCAGGAGCTTTCTCTTGCATACCCTCGCTTAGGCTGGCCGGGGTGTCACTTCTGCCTCCCTGCCCTCCAGACCA\",\n\t\t\t\t\"ACCT\");\n\t\tAnnotation annotation4 = new BlockSubstitutionAnnotationBuilder(infoForward, change4).build();\n\t\tAssert.assertEquals(infoForward.accession, annotation4.transcript.accession);\n\t\tAssert.assertEquals(AnnotationLocation.INVALID_RANK, annotation4.annoLoc.rank);\n\t\tAssert.assertEquals(\"c.-69-201_1delinsACCT\", annotation4.ntHGVSDescription);\n\t\tAssert.assertEquals(\"p.0?\", annotation4.aaHGVSDescription);\n\t\tAssert.assertEquals(ImmutableSortedSet.of(VariantType.START_LOSS), annotation4.effects);\n\t}", "@Test\n\tpublic void testUndo()\n\t{\n\t}", "@Test\n public void testStateTransitions3()\n {\n //Undo from starting state\n boolean assertionFailed = false;\n try\n {\n theEngine.undoLastMove();\n }\n catch (AssertionError ae)\n {\n assertionFailed = true;\n }\n \n assertTrue(assertionFailed);\n \n //Undo from playing state\n theEngine.start();\n try\n {\n theEngine.undoLastMove();\n }\n catch (AssertionError ae)\n {\n assertionFailed = true;\n }\n \n //Undo from halted state\n theEngine.quit();\n movePlayerToCell(getEmptyCell());\n theEngine.undoLastMove();\n //didn't throw assertion error, so fine\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inHaltedState());\n }", "@Override\n\t\tpublic ActionTestFacade getForward() {\n\t\t\treturn null;\n\t\t}", "@Test\r\n @Order(9)\r\n void XmoveLeftTest() {\r\n \trobot.setX(0);\r\n \tassertNotEquals(robot.moveLeft(),\"Move test failed\\nREASON: moveleft() out of bounds!\");\r\n }", "@Test\n public void undoCkpointTest() throws Exception {\n final int tableSize = PARAMETERS.NUM_ITERATIONS_LOW;\n final int trimPosition = tableSize / 2;\n final int snapshotPosition = trimPosition + 2;\n\n CountDownLatch latch = new CountDownLatch(1);\n\n t(1, () -> {\n\n CorfuRuntime rt = getNewRuntime();\n try {\n PersistentCorfuTable<String, Long> tableA = openTable(rt, streamNameA);\n\n // first, populate the map\n for (int i = 0; i < tableSize; i++) {\n tableA.insert(String.valueOf(i), (long) i);\n }\n\n // now, take a checkpoint and perform a prefix-trim\n MultiCheckpointWriter<PersistentCorfuTable<String, Long>> mcw1 = new MultiCheckpointWriter<>();\n mcw1.addMap(tableA);\n mcw1.appendCheckpoints(rt, author);\n\n // Trim the log\n Token token = new Token(rt.getLayoutView().getLayout().getEpoch(), trimPosition);\n rt.getAddressSpaceView().prefixTrim(token);\n rt.getAddressSpaceView().gc();\n rt.getAddressSpaceView().invalidateServerCaches();\n rt.getAddressSpaceView().invalidateClientCache();\n\n latch.countDown();\n } finally {\n rt.shutdown();\n }\n });\n\n AtomicBoolean trimExceptionFlag = new AtomicBoolean(false);\n\n // start a new runtime\n t(2, () -> {\n latch.await();\n CorfuRuntime rt = getNewRuntime();\n\n PersistentCorfuTable<String, Long> localm2A = openTable(rt, streamNameA);\n\n // start a snapshot TX at position snapshotPosition\n Token timestamp = new Token(0L, snapshotPosition - 1);\n rt.getObjectsView().TXBuild()\n .type(TransactionType.SNAPSHOT)\n .snapshot(timestamp)\n .build()\n .begin();\n\n // finally, instantiate the map for the snapshot and assert is has the right state\n try {\n localm2A.get(String.valueOf(0));\n } catch (TransactionAbortedException te) {\n assertThat(te.getAbortCause()).isEqualTo(AbortCause.TRIM);\n // this is an expected behavior!\n trimExceptionFlag.set(true);\n }\n\n try {\n if (!trimExceptionFlag.get()) {\n assertThat(localm2A.size())\n .isEqualTo(snapshotPosition);\n\n // check map positions 0..(snapshot-1)\n for (int i = 0; i < snapshotPosition; i++) {\n assertThat(localm2A.get(String.valueOf(i)))\n .isEqualTo(i);\n }\n\n // check map positions snapshot..(mapSize-1)\n for (int i = snapshotPosition; i < tableSize; i++) {\n assertThat(localm2A.get(String.valueOf(i))).isNull();\n }\n }\n } finally {\n rt.shutdown();\n }\n });\n }", "public boolean hasForward() {\n if (index + 1 < history.size() && index >= 0) {\n return true;\n } else {\n return false;\n }\n }", "@Test\n public void testThatApplyWorks() {\n Solver solver = new Solver();\n PuzzleState state = new PuzzleState(Arrays.asList(CANNIBAL, MISSIONARY, CANNIBAL),\n Arrays.asList(MISSIONARY, MISSIONARY, CANNIBAL), PuzzleState.Position.LEFT_BANK);\n Move move = new Move(Move.Direction.LEFT_TO_RIGHT, Arrays.asList(CANNIBAL));\n\n // apply the move\n PuzzleState newState = solver.apply(state, move);\n\n PuzzleState expectedState = new PuzzleState(Arrays.asList(MISSIONARY, CANNIBAL),\n Arrays.asList(MISSIONARY, MISSIONARY, CANNIBAL, CANNIBAL), PuzzleState.Position.RIGHT_BANK);\n assertEquals(\"Expected state not achieved!\", expectedState, newState);\n }", "@Test\n\tpublic void testTCannotMoveLeft() {\n\t\ttank.InabilityToMoveLeft();\n\t\tassertEquals(false, tank.getLeft());\n\t}", "public void testMove() throws RepositoryException{\n String src = \"src\";\n String dest=\"dest\";\n \n session.move(src, dest);\n sessionControl.replay();\n sfControl.replay();\n \n jt.move(src, dest);\n }", "@Override\n\tpublic void preBacktrack() {\n\t\t\n\t}", "@Test\n public void processTransactionManagerCaseC()\n {\n acc_db.addAccount(acc);\n acc_db.addAccount(acc2);\n\n acc3 = new Account(3,\"Jacob&Leon3\",2000);\n acc_db.addAccount(acc3);\n\n\n trans_mang.processTransaction(acc.get_Account_Number(), acc2.get_Account_Number(), 30);\n\n Assert.assertEquals(false,trans_mang.processTransaction(acc3.get_Account_Number(),acc2.get_Account_Number(),30));\n }", "@Test\n public void testMotherLinkNavigation() {\n println(\"mother link navigation test\");\n assertTrue(\"Navigation failed\",\n mothersNavigationExercise());\n println();\n }", "public static void testPrintBackward(LinkedList list) {\n\t\tlist.printBackward();\n\t}", "protected void sequence_FORWARD(ISerializationContext context, FORWARD semanticObject) {\n\t\tif (errorAcceptor != null) {\n\t\t\tif (transientValues.isValueTransient(semanticObject, DrnPackage.Literals.DEP_YIMPL__NAME) == ValueTransient.YES)\n\t\t\t\terrorAcceptor.accept(diagnosticProvider.createFeatureValueMissing(semanticObject, DrnPackage.Literals.DEP_YIMPL__NAME));\n\t\t\tif (transientValues.isValueTransient(semanticObject, DrnPackage.Literals.DEP_YIMPL__DISTANCE_CST) == ValueTransient.YES)\n\t\t\t\terrorAcceptor.accept(diagnosticProvider.createFeatureValueMissing(semanticObject, DrnPackage.Literals.DEP_YIMPL__DISTANCE_CST));\n\t\t\tif (transientValues.isValueTransient(semanticObject, DrnPackage.Literals.DEP_YIMPL__TEMPS_CST) == ValueTransient.YES)\n\t\t\t\terrorAcceptor.accept(diagnosticProvider.createFeatureValueMissing(semanticObject, DrnPackage.Literals.DEP_YIMPL__TEMPS_CST));\n\t\t}\n\t\tSequenceFeeder feeder = createSequencerFeeder(context, semanticObject);\n\t\tfeeder.accept(grammarAccess.getFORWARDAccess().getNameForwardKeyword_0_0(), semanticObject.getName());\n\t\tfeeder.accept(grammarAccess.getFORWARDAccess().getDistanceCSTINTTerminalRuleCall_4_0(), semanticObject.getDistanceCST());\n\t\tfeeder.accept(grammarAccess.getFORWARDAccess().getTempsCSTINTTerminalRuleCall_7_0(), semanticObject.getTempsCST());\n\t\tfeeder.finish();\n\t}", "public void moveForward(boolean endWithBrake){\r\n \r\n Motor.B.rotate(DEGREES_PER_TILE, true);//Accesses Motor thread\r\n Motor.C.rotate(DEGREES_PER_TILE, true);\r\n while(Motor.B.isMoving() \|\| Motor.C.isMoving())\r\n ;//wait for motors to be done\r\n return;\r\n }", "public void forward() {\n callFunction(\"forward\");\n }", "public void forward(Projection projection);", "boolean isBackwardPredicted()\n {\n return (mbType & BACKWARD)!=0;\n }", "@Test\n public void testcancelwithoutrefund()\n {\n\n BusinessManager businessManager = new BusinessManager();\n\n //how do i test void\n //how to i move back to current\n //assertEquals(businessManager.cancelConfirm(\"yes\"), );\n\n\n }", "@Test\n //test if the jumper can move if it's surrounded by the rocks\n public void testBarrierRock() {\n world.add(new Location(FOUR , FOUR), jumper);\n world.add(new Location(TWO, FOUR), new Rock());\n world.add(new Location(SIX, FOUR), new Rock());\n world.add(new Location(FOUR, TWO), new Rock());\n world.add(new Location(FOUR, SIX), new Rock());\n jumper.act();\n assertEquals(new Location(FOUR, FOUR), jumper.getLocation());\n assertEquals(FORTYFIVE, jumper.getDirection());\n }", "@Test\n public void testRelativeDirectionOfTileByAirFacingSouth() {\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(9, 1)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(9, 5)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(9, 8)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(10, 2)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(10, 8)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(11, 1)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(11, 5)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(11, 8)));\n\n /\n Tile in front => FRONT\n /\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(0, 1)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(0, 5)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(8, 1)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(8, 5)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(12, 1)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(12, 5)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(17, 1)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(17, 5)));\n\n /\n Tile to the left, but within the turning buffer => FRONT\n /\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(12, 9)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(12, 10)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(12, 11)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(13, 9)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(13, 10)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(13, 11)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(14, 9)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(14, 10)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(14, 11)));\n\n /\n Tile to the right, but within the turning buffer => FRONT\n /\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(6, 9)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(6, 10)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(6, 11)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(7, 9)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(7, 10)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(7, 11)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(8, 9)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(8, 10)));\n Assert.assertEquals(Direction.FRONT, nav.finder().relativeDirectionOfTileByAir(getTile(8, 11)));\n\n /\n Tile to to the right, horizontally aligned => RIGHT\n /\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(0, 9)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(0, 10)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(0, 11)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(5, 9)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(5, 10)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(5, 11)));\n\n /\n Tile in front, but within the turning buffer and to the right => RIGHT\n /\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(0, 6)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(0, 7)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(0, 8)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(6, 6)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(6, 7)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(6, 8)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(8, 6)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(8, 7)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(8, 8)));\n\n /\n Tile is at the back, but to the right => RIGHT\n /\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(0, 12)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(0, 17)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(4, 14)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(4, 17)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(5, 12)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(6, 12)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(7, 12)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(8, 12)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(9, 12)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(9, 14)));\n Assert.assertEquals(Direction.RIGHT, nav.finder().relativeDirectionOfTileByAir(getTile(9, 17)));\n\n /\n To to the left, horizontally aligned => LEFT\n /\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(15, 9)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(15, 10)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(15, 11)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(17, 9)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(17, 10)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(17, 11)));\n\n /\n Tile in front, but within the turning buffer and to the left => LEFT\n /\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(12, 6)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(12, 7)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(12, 8)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(14, 6)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(14, 7)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(14, 8)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(17, 6)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(17, 7)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(17, 8)));\n\n /\n Tile is at the back, but to the left => LEFT\n /\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(10, 12)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(10, 14)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(10, 17)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(11, 12)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(12, 12)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(13, 12)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(14, 12)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(15, 12)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(16, 14)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(16, 17)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(17, 12)));\n Assert.assertEquals(Direction.LEFT, nav.finder().relativeDirectionOfTileByAir(getTile(17, 17)));\n }", "@Test\n @Ignore\n public void testMarkActive() {\n System.out.println(\"markActive\");\n Index entity = null;\n IndexDaoImpl instance = null;\n instance.markActive(entity);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public abstract Object makeMove(Clue clue, Bipartite bipartite);", "@Test\n public void testMoveLexicon() {\n //System.out.println(\"moveLexicon\");\n LemonSerializerImpl instance = new LemonSerializerImpl(null);\n LemonModel from = makeModel(instance);\n Lexicon lexicon = from.getLexica().iterator().next();\n LemonModel to = instance.create(URI.create(\"file:test2\"));\n instance.moveLexicon(lexicon, from, to);\n }", "@Test\n\tpublic void test_increment_commits(){\n\t\tassertEquals(\"Initial commit number should be 1\", 1, test1.getCommitCount());\n\t\ttest1.incrementCommitCount();\n\t\tassertEquals(\"Number of Commit should be incremented\", 2, test1.getCommitCount());\n\t}", "@Test(expected = RuntimeException.class)\r\n \tpublic void testCommit() throws ESException {\n \t\tlocalProject.commit();\r\n \t\tfail(\"Should not be able to commit an unshared Project!\");\r\n \t}", "private void navToPoint(Unit unit){\n\t\tMapLocation currentLocation = unit.location().mapLocation();\n\t\tMapLocation locationToTest;\n\t\tMapLocation targetLocation = orderStack.peek().getLocation();\n\t\tlong smallestDist=1000000000; //arbitrary large number\n\t\tlong temp;\n\t\tDirection closestDirection=null;\n\t\tint i=1;\n\t\t\n\t\tif(gc.isMoveReady(unitID)){\n\t\t\t//first find the direction that moves us closer to the target\n\t\t\tfor(Direction dir : Direction.values()){\n\t\t\t\tif (debug) System.out.println(\"this (\"+dir.name()+\") is the \"+i+\"th direction to check, should get to 9\");\n\t\t\t\tlocationToTest=currentLocation.add(dir);\n\t\t\t\t//make sure it is on the map and is passable\n\t\t\t\tif (debug){\n\t\t\t\t\tSystem.out.println(\"testing this location: \"+locationToTest);\n\t\t\t\t\tSystem.out.println(\"valid move? \"+gc.canMove(unitID, dir));\n\t\t\t\t}\n\t\t\t\tif(gc.canMove(unitID, dir)){\n\t\t\t\t\tif (debug)System.out.println(\"we can indeed move there...\");\n\t\t\t\t\t//make sure the location hasn't already been visited\n\t\t\t\t\tif(!pastLocations.contains(locationToTest)){\n\t\t\t\t\t\tif (debug)System.out.println(\"not been there recently...\");\n\t\t\t\t\t\t//at this point its a valid location to test, check its distance\n\t\t\t\t\t\ttemp = locationToTest.distanceSquaredTo(targetLocation);\n\t\t\t\t\t\tif (debug)System.out.println(\"distance :\"+temp);\n\t\t\t\t\t\tif (temp<smallestDist){\n\t\t\t\t\t\t\tif (debug)System.out.println(\"new closest!\");\n\t\t\t\t\t\t\t//new closest point, update accordingly\n\t\t\t\t\t\t\tsmallestDist=temp;\n\t\t\t\t\t\t\tclosestDirection=dir;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\ti++;\n\t\t\t}//end of for-each loop\n\t\t}//end move ready if.\n\t\t\n\t\t//actual movement and maintenance of places recently visited\n\t\tif(closestDirection!=null){\n\t\t\tif (debug){\n\t\t\t\tSystem.out.println(\"found a closest direction, calling navInDirection()\");\n\t\t\t\tSystem.out.println(\"heading \"+closestDirection.name());\n\t\t\t}\n\t\t\tmoveInDirection(closestDirection, unit);\n\t\t\tcleanUpAfterMove(unit);\n\t\t}else{\n\t\t\t//can't get any closer\n\t\t\tif (debug) System.out.println(\"can't get closer, erasing past locations\");\n\t\t\tpastLocations.clear();\n\t\t}\n\t\t\n\t\t//have we arrived close enough?\n\t\tif(unit.location().mapLocation().distanceSquaredTo(targetLocation)<=howCloseToDestination){\n\t\t\t//atTargetLocation=true;\n\t\t\t\n\t\t\t//if order was a MOVE order, it is complete, go ahead and pop it off the stack\n\t\t\tif(orderStack.peek().getType().equals(OrderType.MOVE)){\n\t\t\t\torderStack.pop();\n\t\t\t}\n\t\t\tif (debug) System.out.println(\"Unit \"+unit.id()+\" arrived at destination.\");\n\t\t}\n\t\t\n\t\t;\n\t}", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n\tpublic void test() {\r\n\t\tmodel1.getActualTurn().setHasAttacked(true);\r\n\t\tassertEquals(attack2.isPossible(model1) , false);\r\n\t\t\r\n\t\t/* verifica che se gli alieni vincono il gioco viene chiuso /\r\n\t\taliensWin2.perform(model1);\r\n\t\tassertEquals(model1.getGameState() , GameState.CLOSING);\r\n\t\tassertEquals(model1.getActualTurn().getCurrentPlayer().getAvatar().getIsWinner() , EndState.WINNER);\r\n\t\t\r\n\t\tmodel1.setActualTurn(turn2);\r\n\t\t\r\n\t\t/ verifica il corrretto funzionamento del metodo isPossible dell'azione di attacco /\r\n\t\tassertEquals(attack1.isPossible(model1) , false);\r\n\t\tmodel1.getActualTurn().setHasMoved(true);\r\n\t\tmodel1.getActualTurn().setHasDraw(true);\r\n\t\tassertEquals(attack1.isPossible(model1) , false);\r\n\t\tmodel1.getActualTurn().setHasDraw(false);\r\n\t\tmodel1.setGameState(GameState.ACCEPTING);\r\n\t\tassertEquals(attack1.isPossible(model1) , false);\r\n\t\tmodel1.setGameState(GameState.RUNNING);\r\n\t\tassertEquals(attack1.isPossible(model1) , true);\r\n\t\tmodel1.getGamePlayers().get(0).getAvatar().setIsAlive(LifeState.DEAD);\r\n\t\tmodel1.getGamePlayers().get(1).getAvatar().setIsAlive(LifeState.DEAD);\r\n\t\tmodel1.getGamePlayers().get(2).getAvatar().setIsAlive(LifeState.DEAD);\r\n\t\tmodel1.getGamePlayers().get(3).getAvatar().setIsAlive(LifeState.DEAD);\r\n\t\tmodel1.getGamePlayers().get(4).getAvatar().setIsAlive(LifeState.DEAD);\r\n\t\tmodel1.getGamePlayers().get(5).getAvatar().setIsAlive(LifeState.DEAD);\r\n\t\tmodel1.getGamePlayers().get(6).getAvatar().setIsAlive(LifeState.DEAD);\r\n\t\tevtAttacked1 = attack1.perform(model1);\r\n\t\tassertEquals(((EventAttacked)evtAttacked1.get(1)).getAreThereOtherHumans() , false);\r\n\t\tmodel1.getGamePlayers().get(1).getAvatar().setIsAlive(LifeState.ALIVE);\r\n\t\tmodel1.getGamePlayers().get(0).getAvatar().setIsAlive(LifeState.ALIVE);\r\n\t\tmodel1.getGamePlayers().get(2).getAvatar().setIsAlive(LifeState.ALIVE);\r\n\t\tmodel1.getGamePlayers().get(3).getAvatar().setIsAlive(LifeState.ALIVE);\r\n\t\tevtAttacked1 = attack1.perform(model1);\t\r\n\t\tassertEquals(((EventSufferAttack)evtAttacked1.get(0)).getKilled() , killedPlayer);\r\n\t\t\r\n\t\tmodel1.setActualTurn(turn3);\r\n\t\t\r\n\t\t/ verifica il corrretto funzionamento del metodo isPossible dell'azione di attacco /\r\n\t\tmodel1.setGameState(GameState.ACCEPTING);\r\n\t\t((Human)model1.getActualTurn().getCurrentPlayer().getAvatar()).setCanAttack(true);\r\n\t\tassertEquals(attack3.isPossible(model1) , false);\r\n\t\tmodel1.setGameState(GameState.RUNNING);\r\n\t\t((Human)model1.getActualTurn().getCurrentPlayer().getAvatar()).setCanAttack(false);\r\n\t\tassertEquals(attack3.isPossible(model1) , false);\r\n\t\t((Human)model1.getActualTurn().getCurrentPlayer().getAvatar()).setCanAttack(true);\r\n\t\tmodel1.getActualTurn().setHasAttacked(true);\r\n\t\tassertEquals(attack3.isPossible(model1) , false);\r\n\t\t\r\n\t\tmodel1.setActualTurn(turn4);\r\n\t\t\r\n\t\t/ verifica il corrretto funzionamento della perform dell'azione di attacco /\r\n\t\tsector1 = model1.getGameMap().searchSectorByName(\"Hatch\");\r\n\t\tmodel1.getActualTurn().getCurrentPlayer().getAvatar().setCurrentSector(sector1);\r\n\t\tevtAttacked2 = humanWin2.perform(model1);\r\n\t\tassertEquals(((EventNotifyHumanWin)evtAttacked2.get(0)).getGenerator() , player4);\r\n\t\tmodel1.getGamePlayers().get(3).getAvatar().setIsWinner(EndState.LOOSER);\r\n\t\tmodel1.getGamePlayers().get(2).getAvatar().setIsWinner(EndState.LOOSER);\r\n\t\tmodel1.getGamePlayers().get(0).getAvatar().setIsWinner(EndState.LOOSER);\r\n\t\tmodel1.getGamePlayers().get(1).getAvatar().setIsWinner(EndState.LOOSER);\r\n\t\tmodel1.getGamePlayers().get(4).getAvatar().setIsWinner(EndState.LOOSER);\r\n\t\tassertEquals(humanWin2.perform(model1).size() , 3);\r\n\t\t\r\n\t\tmodel1.setActualTurn(turn7);\r\n\t\t\r\n\t\t/ verifica il corrretto funzionamento dell'utilizzo della carta difesa /\r\n\t\tmodel1.getActualTurn().getCurrentPlayer().getAvatar().addCard(card);\r\n\t\tdefense = new Defense(evtDefense);\r\n\t\tevtAttacked2 = defense.perform(model1);\r\n\t\tassertTrue(!model1.getActualTurn().getCurrentPlayer().getAvatar().getMyCards().contains(card));\r\n\t\tassertTrue(evtAttacked2.get(0) instanceof EventRejectCardAlien);\r\n\t\tassertTrue(evtAttacked2.get(1) instanceof EventCardUsed);\r\n\t\t\r\n\t}", "private void advanceCommitIndex() {\n // 获取quorum matchIndex\n int peerNum = configuration.getServersList().size();\n long[] matchIndexes = new long[peerNum];\n int i = 0;\n for (RaftProto.Server server : configuration.getServersList()) {\n if (server.getServerId() != localServer.getServerId()) {\n Peer peer = peerMap.get(server.getServerId());\n matchIndexes[i++] = peer.getMatchIndex();\n }\n }\n matchIndexes[i] = raftLog.getLastLogIndex();\n Arrays.sort(matchIndexes);\n long newCommitIndex = matchIndexes[peerNum / 2];\n LOG.debug(\"newCommitIndex={}, oldCommitIndex={}\", newCommitIndex, commitIndex);\n if (raftLog.getEntryTerm(newCommitIndex) != currentTerm) {\n LOG.debug(\"newCommitIndexTerm={}, currentTerm={}\",\n raftLog.getEntryTerm(newCommitIndex), currentTerm);\n return;\n }\n\n if (commitIndex >= newCommitIndex) {\n return;\n }\n long oldCommitIndex = commitIndex;\n commitIndex = newCommitIndex;\n raftLog.updateMetaData(currentTerm, null, raftLog.getFirstLogIndex(), commitIndex);\n // 同步到状态机\n for (long index = oldCommitIndex + 1; index <= newCommitIndex; index++) {\n RaftProto.LogEntry entry = raftLog.getEntry(index);\n if (entry.getType() == RaftProto.EntryType.ENTRY_TYPE_DATA) {\n stateMachine.apply(entry.getData().toByteArray());\n } else if (entry.getType() == RaftProto.EntryType.ENTRY_TYPE_CONFIGURATION) {\n applyConfiguration(entry);\n }\n }\n lastAppliedIndex = commitIndex;\n LOG.debug(\"commitIndex={} lastAppliedIndex={}\", commitIndex, lastAppliedIndex);\n commitIndexCondition.signalAll();\n }", "@Test\n public void processTransactionManagerCaseD()\n {\n acc_db.addAccount(acc);\n acc_db.addAccount(acc2);\n\n acc3 = new Account(3,\"Jacob&Leon3\",2000);\n acc_db.addAccount(acc3);\n\n trans_mang.processTransaction(acc.get_Account_Number(), acc2.get_Account_Number(), 30);\n\n Assert.assertEquals(false,trans_mang.processTransaction(acc.get_Account_Number(),acc3.get_Account_Number(),30));\n }", "@Test\n public void testFingerprintAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintAutocorrelation(M, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n @Order(10)\r\n void XmoveRightTest() {\r\n \trobot.setX(100);\r\n \tassertNotEquals(robot.moveRight(),\"Move test failed\\nREASON: moveRight() out of bounds!\");\r\n\t}", "@Test\n public void testAct() {\n world.add(new Location(FOUR , FOUR), jumper);\n jumper.act();\n jumper.act();\n assertEquals(new Location(ZERO, FOUR), jumper.getLocation());\n }", "@Test\n\tpublic void testTCanMoveLeft() {\n\t\ttank.AbilityToMoveLeft();\n\t\tassertEquals(true, tank.getLeft());\n\t}", "@Test\n public void testUp(){\n controller.setUp(true);\n assertTrue(controller.getUp());\n }", "@Override\r\n public void ontTest( OntModel m ) throws Exception {\r\n Profile prof = m.getProfile();\r\n OntClass A = m.createClass( NS + \"A\" );\r\n Individual x = m.createIndividual( A );\r\n Individual y = m.createIndividual( A );\r\n Individual z = m.createIndividual( A );\r\n\r\n x.addSameAs( y );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n assertEquals( \"x should be the same as y\", y, x.getSameAs() );\r\n assertTrue( \"x should be the same as y\", x.isSameAs( y ) );\r\n\r\n x.addSameAs( z );\r\n assertEquals( \"Cardinality should be 2\", 2, x.getCardinality( prof.SAME_AS() ) );\r\n iteratorTest( x.listSameAs(), new Object[] {z,y} );\r\n\r\n x.setSameAs( z );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n assertEquals( \"x should be same indiv. as z\", z, x.getSameAs() );\r\n\r\n x.removeSameAs( y );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n x.removeSameAs( z );\r\n assertEquals( \"Cardinality should be 0\", 0, x.getCardinality( prof.SAME_AS() ) );\r\n }", "@Test\n\tpublic void TEAM3_CONTROLLER_UT06() {\n\t\t// PRECONDITIONS\n\t\tClassDetailsStub c = new ClassDetailsStub(TEST_CONFIG.TueThu);\n\t\t\n\t\tCollection<ClassDetailsStub> s = new ArrayList<ClassDetailsStub>();\n\t\ts.add(c);\n\t\t\n\t\tScheduleMakerController smc = new ScheduleMakerController();\n\t\t\n\t\t// INPUT\n\t\tCollection<ScheduleStub> savedSchedules = new ArrayList<ScheduleStub>();\n\t\tsavedSchedules.add(new ScheduleStub(s));\n\t\t\n\t\t// EXPECTED OUTPUT\n\t\tException exceptionThrown = null;\n\t\tboolean balanceGreaterThanZero = false;\n\t\ttry {\n\t\t\tObject balanceObj = null;\n\t\t\tMethod getBalance = smc.getClass().getDeclaredMethod(\"getBalance\", (Class<?> []) null);\n\t\t\t\n\t\t\tsmc.saveSchedules(savedSchedules);\n\t\t\tbalanceObj = getBalance.invoke(smc, (Object[]) null);\n\t\t\t\n\t\t\tif (balanceObj == null) throw new NullPointerException(\"getBalance() returned null; expected a number\");\n\t\t\telse if (!(balanceObj instanceof Number)) throw new RuntimeException(\"getBalance() did not return a number\");\n\t\t\t\n\t\t\tbalanceGreaterThanZero = ((Number) balanceObj).doubleValue() > 0.0d;\n\t\t} catch (Exception ex) {\n\t\t\texceptionThrown = ex;\n\t\t}\n\t\t\n\t\tassertNull(exceptionThrown);\n\t\tassertTrue(balanceGreaterThanZero);\n\t}", "@SuppressWarnings(\"unused\")\n\tpublic void execute(){\n\t\tdouble mtrFrontRight;\n\t\tdouble mtrFrontLeft;\n\t\tdouble mtrBackRight;\n\t\tdouble mtrBackLeft;\n\t\t\n\t\tdouble speed = 3.0; //The variable we are assigning\n\t\tdouble yawHeading = 0; //Obtained from Robot class\n\t\t\n\t\tdouble getCurrentSetPoint = 0.0; //This Will be obtained via a variable set in the turn to heading class as it is obtained. (possible issues)\n\t\tdouble actualEncoderSetpoint; //Represents the value the encoder is actually at.\n\t\t\n\t\tdouble zeroHeading; //This is a weird one. it is there because of the odd difference calculations issue of say being 5 off of zero and heading being 355;\n\t\t\n\t\t\n\t\t//Switch structure stuff\n\t\tint forward = 0;\n\t\tint left = 1;\n\t\tint right = 2;\n\t\tint state = forward;\n\t\t\n\t\t\n\t\tif(getCurrentSetPoint == 0) {\n\t\t\tstate = forward;\n\t\t} else if(getCurrentSetPoint == 90) {\n\t\t\tstate = right;\n\t\t} else if(getCurrentSetPoint == 270) {\n\t\t\tstate = left;\n\t\t}\n\t\t\n\t\t//where the weirdness of zero heading comes into play.\n\t\tif(yawHeading > 180){\n\t\t\tzeroHeading = 360 - yawHeading;\n\t\t\tzeroHeading = -(zeroHeading);\n\t\t} else {\n\t\t\tzeroHeading = yawHeading;\n\t\t}\n\t\t\n\t\t//Here comes the fun math.\n\t\t// oh yeah and brackets are fun just saying.\n\t\t//try not to get cancer.\n\t\t\n\t\tswitch (state) {\n\t\t\t\n\t\t\tcase 0 :\n\t\t\t\tif(zeroHeading < -5) {\n\t\t\t\t\tmtrFrontRight = -(speed - ((-zeroHeading Math.pow(10, -1)) * .3) );\n\t\t\t\t\tmtrBackRight = -(speed - ((-zeroHeading * Math.pow(10, -1)) * .3) );\n\t\t\t\t} else {\n\t\t\t\t\tmtrFrontRight = -speed;\n\t\t\t\t\tmtrBackRight = -speed;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\tif(zeroHeading > 5) {\n\t\t\t\t\tmtrFrontLeft = speed - ((zeroHeading * Math.pow(10, -1)) * .3);\n\t\t\t\t\tmtrBackLeft = speed - ((zeroHeading * Math.pow(10, -1)) * .3);\n\t\t\t\t} else {\n\t\t\t\t\tmtrFrontLeft = speed;\n\t\t\t\t\tmtrBackLeft = speed;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\tbreak;\n\t\t\t\t\n\t\t\t\n\t\t\t\t\n\t\t\tcase 1 :\n\t\t\t\tif(zeroHeading > 5) {\n\t\t\t\t\t\tmtrBackRight = -(speed - ((zeroHeading * Math.pow(10, -1)) * .3) );\n\t\t\t\t\t\tmtrBackLeft = speed - ((zeroHeading * Math.pow(10, -1)) * .3);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tmtrBackRight = -speed;\n\t\t\t\t\t\tmtrBackLeft = speed;\n\t\t\t\t\t}\n\t\t\t\t\t\n\t\t\t\t\tif(zeroHeading < -5) {\n\t\t\t\t\t\tmtrFrontRight = -(speed - ((-zeroHeading * Math.pow(10, -1)) * .3) );\n\t\t\t\t\t\tmtrFrontLeft = speed - ((-zeroHeading * Math.pow(10, -1)) * .3);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tmtrFrontRight = -speed;\n\t\t\t\t\t\tmtrFrontLeft = speed;\n\t\t\t\t\t}\n\t\t\t\t\n\t\t\t\tbreak;\n\t\t\t\t\n\t\t\t\t\n\t\t\t\n\t\t\tcase 2 : \n\t\t\t\tif(zeroHeading < -5) {\n\t\t\t\t\tmtrBackRight = -(speed - ((-zeroHeading * Math.pow(10, -1)) * .3) );\n\t\t\t\t\tmtrBackLeft = speed - ((-zeroHeading * Math.pow(10, -1)) * .3);\n\t\t\t\t} else {\n\t\t\t\t\tmtrBackRight = -speed;\n\t\t\t\t\tmtrBackLeft = speed;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\tif(zeroHeading > 5) {\n\t\t\t\t\tmtrFrontRight = -(speed - ((zeroHeading * Math.pow(10, -1)) * .3) );\n\t\t\t\t\tmtrFrontLeft = speed - ((zeroHeading * Math.pow(10, -1)) * .3);\n\t\t\t\t} else {\n\t\t\t\t\tmtrFrontRight = -speed;\n\t\t\t\t\tmtrFrontLeft = speed;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\tbreak;\n\t\t\t\n\t\t}\n\t}", "@Test\n public void testFatherLinkNavigation() {\n println(\"father link navigation test\");\n assertTrue(\"Navigation failed\",\n fathersNavigationExercise());\n println();\n }", "@Test\n public void testAct() {\n world.add(new Location(2, 0), jumper);\n jumper.act();\n jumper.act();\n assertEquals(new Location(0, 0), jumper.getLocation());\n jumper.act();\n jumper.act();\n assertEquals(new Location(0, 2), jumper.getLocation());\n }", "@Test\n public void testRight(){\n controller.setRight(true);\n assertTrue(controller.getRight());\n }", "@Test\n public void testFingerprintCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintCorrelation(M, observable1, observable2);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testUndo(){\n //TODO\n }", "@Test\n public void persistedCorfuTableCheckpointTest() {\n String path = PARAMETERS.TEST_TEMP_DIR;\n\n CorfuRuntime rt = getDefaultRuntime();\n\n final UUID tableId = UUID.randomUUID();\n final PersistenceOptionsBuilder persistenceOptions = PersistenceOptions.builder()\n .dataPath(Paths.get(path + tableId + \"writer\"));\n final int numKeys = 303;\n\n try (PersistedCorfuTable<String, String> table = rt.getObjectsView()\n .build()\n .setTypeToken(PersistedCorfuTable.<String, String>getTypeToken())\n .setStreamID(tableId)\n .setSerializer(Serializers.JSON)\n .setArguments(persistenceOptions.build(), Serializers.JSON)\n .open()) {\n\n for (int x = 0; x < numKeys; x++) {\n table.insert(String.valueOf(x), \"payload\" + x);\n }\n assertThat(table.size()).isEqualTo(numKeys);\n\n MultiCheckpointWriter mcw = new MultiCheckpointWriter();\n mcw.addMap(table);\n Token token = mcw.appendCheckpoints(rt, \"Author1\");\n rt.getAddressSpaceView().prefixTrim(token);\n rt.getAddressSpaceView().gc();\n }\n\n CorfuRuntime newRt = getNewRuntime();\n\n persistenceOptions.dataPath(Paths.get(path + tableId + \"reader\"));\n try (PersistedCorfuTable<String, String> table = newRt.getObjectsView().build()\n .setTypeToken(PersistedCorfuTable.<String, String>getTypeToken())\n .setStreamID(tableId)\n .setSerializer(Serializers.JSON)\n .setArguments(persistenceOptions.build(), Serializers.JSON)\n .open()) {\n\n assertThat(Iterators.elementsEqual(table.entryStream().iterator(),\n table.entryStream().iterator())).isTrue();\n assertThat(table.size()).isEqualTo(numKeys);\n\n }\n }", "@Override\n public void execute() {\n ImmutableVector loc = translationalLocationEstimator.estimateLocation();\n ImmutableVector goalPoint = purePursuitMovementStrategy.update(loc, lookahead.getLookahead());\n\n Path path = purePursuitMovementStrategy.getPath();\n PathSegment current = path.getCurrent();\n ImmutableVector closestPoint = current.getClosestPoint(loc);\n absoluteDistanceUsed = current.getAbsoluteDistance(closestPoint);\n speedUsed = current.getSpeed(absoluteDistanceUsed);\n translationalLocationDriveable.driveTowardTransLoc(speedUsed, goalPoint);\n }", "@Test\n\tpublic void TEAM3_CONTROLLER_UT05() {\n\t\t// PRECONDITIONS\n\t\tScheduleMakerController smc = new ScheduleMakerController();\n\t\t\n\t\t// INPUT\n\t\tCollection<ScheduleStub> savedSchedules = new ArrayList<ScheduleStub>();\n\t\tsmc.saveSchedules(savedSchedules);\n\t\t\n\t\t// EXPECTED OUTPUT\n\t\tException exceptionThrown = null;\n\t\tdouble balance = 0.0d;\n\t\ttry {\n\t\t\tMethod getBalance = smc.getClass().getDeclaredMethod(\"getBalance\", (Class<?> []) null);\n\t\t\tObject balanceObj = getBalance.invoke(smc, (Object[]) null);\n\t\t\t\n\t\t\tif (balanceObj == null) throw new NullPointerException(\"getBalance() returned null; expected a number\");\n\t\t\telse if (!(balanceObj instanceof Number)) throw new RuntimeException(\"getBalance() did not return a number\");\n\t\t} catch (Exception ex) {\n\t\t\texceptionThrown = ex;\n\t\t}\n\t\t\n\t\tassertNull(exceptionThrown);\n\t\tassertEquals(0.0d, balance, 0.0d);\n\t}", "@DirtiesDatabase\n\t@Test\n\tpublic void testSuccessfulReversePreAuthorization() {\n\t\torderPayment.setAuthorizationCode(AUTH_CODE1);\n\t\tGiftCertificateAuthorizationRequest authorizationRequest = createAuthorizationRequestFromOrderPayment(orderPayment);\n\n\t\tGiftCertificateTransactionResponse response = transactionService.preAuthorize(authorizationRequest, null);\n\t\t\n\t\torderPayment.setAuthorizationCode(response.getAuthorizationCode());\n\t\torderPayment.setReferenceId(response.getGiftCertificateCode());\n\n\t\torderPayment.setAmount(REGULAR_AUTH);\n\t\t\ttransactionService.reversePreAuthorization(orderPayment);\n\n\t\tassertEquals(BALANCE, transactionService.getBalance(giftCertificate));\n\t\t}", "@Test\n\tpublic void testF(){\n\t\tActorWorld world = new ActorWorld();\n\t\n\t\tworld.add(new Location(6, 4), alice);\n\t\tworld.add(new Location(3, 4), bob);\n\t\tbob.setDirection(Location.SOUTH);\n\t\talice.act();\n\t\tbob.act();\n\t\tassertEquals(new Location(4, 4), alice.getLocation());\n\t\tassertEquals(new Location(5, 4), bob.getLocation());\n\n\t\tbob.moveTo(new Location(0, 4));\n\t\tint olddir = alice.getDirection();\n\t\tbob.act(); // the first act's jumper can jump\n\t\talice.act(); // the second should turn \n\t\tassertEquals((olddir + Location.RIGHT) % 360, alice.getDirection());\n\t\tassertEquals(new Location(2, 4), bob.getLocation());\n\t}", "boolean generateAutomata()\n{\n empty_calls = new HashSet<JflowMethod>();\n event_calls = new HashSet<JflowMethod>();\n complete_calls = new LinkedHashMap<JflowMethod,ModelMethod>();\n methods_todo = new LinkedHashSet<JflowMethod>();\n return_set = new HashMap<JflowMethod,Boolean>();\n\n start_set = new HashSet<JflowMethod>();\n for (JflowMethod cm : model_master.getStartMethods()) {\n methods_todo.add(cm);\n start_set.add(cm);\n }\n\n while (!methods_todo.isEmpty()) {\n Iterator<JflowMethod> it = methods_todo.iterator();\n if (!it.hasNext()) break;\n JflowMethod cm = it.next();\n it.remove();\n if (!empty_calls.contains(cm) && !complete_calls.containsKey(cm)) {\n\t if (!model_master.checkUseMethod(cm) \|\| !model_master.isMethodAccessible(cm.getMethod()) \|\|\n\t\tcm.getMethod().isAbstract()) {\n\t if (model_master.doDebug()) {\n\t System.err.println(\"Ignore method: \" + cm.getMethodName() + \" \" +\n\t\t\t\t cm.getMethodSignature() + \" \" +\n\t\t\t\t model_master.checkUseMethod(cm) + \" \" +\n\t\t\t\t model_master.isMethodAccessible(cm.getMethod()));\n\t }\n\t empty_calls.add(cm);\n\t }\n\t else {\n\t ModelBuilder bld = new ModelBuilder(model_master,this,cm);\n\t complete_calls.put(cm,null);\n\t ModelMethod cs = bld.createAutomata();\n\t if (cs == null) empty_calls.add(cm);\n\t else complete_calls.put(cm,cs);\n\t }\n }\n }\n\n Set<JflowMethod> workq = new LinkedHashSet<JflowMethod>();\n for (Map.Entry<JflowMethod,ModelMethod> ent : complete_calls.entrySet()) {\n JflowMethod bm = ent.getKey();\n ModelMethod cs = ent.getValue();\n if (cs == null) continue;\n Set<JflowModel.Node> states = simplify(cs.getStartState());\n int ctr = 0;\n boolean hasrtn = false;\n for (JflowModel.Node st1 : states) {\n\t if (st1.getEvent() != null) event_calls.add(bm);\n\t else if (st1.getFieldSet() != null) event_calls.add(bm);\n\t if (!hasrtn && st1.getReturnValue() != null) hasrtn = true;\n\t JflowMethod cm = st1.getCall();\n\t if (cm != null) {\n\t if (event_calls.contains(cm)) event_calls.add(bm);\n\t else {\n\t ++ctr;\n\t ModelMethod ncs = complete_calls.get(cm);\n\t if (ncs != null) ncs.addUser(bm);\n\t else System.err.println(\"Call to \" + cm.getMethodName() + \" not found\");\n\t }\n\t }\n }\n return_set.put(bm,Boolean.valueOf(hasrtn));\n\n if (model_master.doDebug()) {\n\t System.err.println(\"First pass method \" + bm.getMethodName() + \" \" +\n\t\t\t bm.getMethodSignature() + \" \" + ctr + \" \" +\n\t\t\t states.size() + \" \" + event_calls.contains(bm));\n }\n if (ctr == 0) {\n\t if (!event_calls.contains(bm)) empty_calls.add(bm);\n }\n else {\n\t workq.add(bm);\n }\n }\n if (model_master.doDebug()) System.err.println(\"Work queue size = \" + workq.size());\n if (event_calls.size() == 0) return false;\n\n Set<JflowMethod> returnused = null;\n boolean chng = true;\n while (chng) {\n chng = false;\n returnused = new HashSet<JflowMethod>();\n while (!workq.isEmpty()) {\n\t Iterator<JflowMethod> it = workq.iterator();\n\t if (!it.hasNext()) break;\n\t JflowMethod bm = it.next();\n\t it.remove();\n\t ModelMethod cs = complete_calls.get(bm);\n\t boolean chkit = !event_calls.contains(bm);\n\n\t if (cs == null \|\| empty_calls.contains(bm)) continue;\n\n\t int ctr = 0;\n\t Set<JflowModel.Node> states = simplify(cs.getStartState());\n\t boolean mchng = false;\n\t boolean hasrtn = false;\n\t for (JflowModel.Node st1 : states) {\n\t if (!hasrtn && st1.getReturnValue() != null) hasrtn = true;\n\t JflowMethod cm = st1.getCall();\n\t if (cm != null) {\n\t if (st1.getUseReturn()) returnused.add(cm);\n\t if (!event_calls.contains(cm)) {\n\t\t ++ctr;\n\t\t}\n\t else if (chkit) {\n\t\t if (model_master.doDebug()) {\n\t\t System.err.println(\"Method required: \" + bm.getMethodName() + \" \" +\n\t\t\t\t\t bm.getMethodSignature() + \" :: \" + cm.getMethodName() +\n\t\t\t\t\t \" \" + cm.getMethodSignature());\n\t\t }\n\t\t event_calls.add(bm);\n\t\t chkit = false;\n\t\t mchng = true;\n\t\t}\n\t }\n\t }\n\n\t if (return_set.get(bm) != Boolean.FALSE) {\n\t return_set.put(bm,Boolean.valueOf(hasrtn));\n\t if (!hasrtn) mchng = true;\n\t }\n\n\t if (ctr == 0 && !event_calls.contains(bm)) {\n\t empty_calls.add(bm);\n\t mchng = true;\n\t }\n\n\t if (model_master.doDebug()) System.err.println(\"Consider method \" + bm.getMethodName() + \" \" + bm.getMethodSignature() + \" \" + ctr + \" \" + states.size() + \" \" + mchng);\n\n\t if (mchng) {\n\t for (Iterator<?> it1 = cs.getUsers(); it1.hasNext(); ) {\n\t JflowMethod cm = (JflowMethod) it1.next();\n\t if (model_master.doDebug()) System.err.println(\"\\tQueue \" + cm.getMethodName() + \" \" + cm.getMethodSignature());\n\t workq.add(cm);\n\t }\n\t }\n }\n\n for (Map.Entry<JflowMethod,ModelMethod> ent : complete_calls.entrySet()) {\n\t JflowMethod bm = ent.getKey();\n\t ModelMethod cs = ent.getValue();\n\t if (cs != null && !empty_calls.contains(bm) && !event_calls.contains(bm)) {\n\t empty_calls.add(bm);\n\t chng = true;\n\t for (Iterator<JflowMethod> it1 = cs.getUsers(); it1.hasNext(); ) {\n\t JflowMethod cm = it1.next();\n\t if (model_master.doDebug()) System.err.println(\"\\tQueue \" + cm.getMethodName() + \" \" + cm.getMethodSignature());\n\t workq.add(cm);\n\t }\n\t }\n }\n }\n\n for (JflowMethod cm : empty_calls) {\n complete_calls.remove(cm);\n }\n\n chng = true;\n boolean needsync = true;\n while (chng) {\n chng = false;\n boolean nextsync = false;\n for (ModelMethod em : complete_calls.values()) {\n\t Set<JflowModel.Node> sts = simplify(em.getStartState());\n\t if (!needsync) {\n\t for (JflowModel.Node nms : sts) {\n\t ModelState ms = (ModelState) nms;\n\t if (ms.getWaitType() != ModelWaitType.NONE) {\n\t\t ms.clearCall();\n\t\t chng = true;\n\t\t}\n\t }\n\t }\n\t else if (!nextsync) {\n\t for (JflowModel.Node ms : sts) {\n\t if (ms.getCall() != null && ms.isAsync()) nextsync = true;\n\t }\n\t }\n\t if (return_set.get(em.getMethod()) != Boolean.FALSE && returnused != null && \n\t\t!returnused.contains(em.getMethod())) {\n\t for (JflowModel.Node nms : sts) {\n\t ModelState ms = (ModelState) nms;\n\t if (ms.getReturnValue() != null) {\n\t\t ms.clearCall();\n\t\t chng = true;\n\t\t}\n\t }\n\t return_set.put(em.getMethod(),Boolean.FALSE);\n\t }\n }\n if (nextsync != needsync) chng = true;\n needsync = nextsync;\n }\n\n for (ModelMethod em : complete_calls.values()) {\n ModelMinimizer.minimize(model_master,em.getStartState());\n }\n\n ModelSynch msynch = new ModelSynch(complete_calls.values());\n msynch.establishPartitions();\n\n if (model_master.doDebug()) {\n IvyXmlWriter nxw = new IvyXmlWriter(new OutputStreamWriter(System.err));\n nxw.begin(\"DEBUG\");\n outputEvents(nxw);\n outputProgram(nxw);\n nxw.end();\n nxw.flush();\n }\n\n boolean retfg = true;\n\n Collection<JflowEvent> c = model_master.getRequiredEvents();\n if (c != null && !c.isEmpty()) {\n Set<JflowEvent> evts = new HashSet<JflowEvent>();\n for (ModelMethod cs : complete_calls.values()) {\n\t Set<JflowModel.Node> states = simplify(cs.getStartState());\n\t for (JflowModel.Node ms : states) {\n\t JflowEvent ev = ms.getEvent();\n\t if (ev != null) evts.add(ev);\n\t }\n }\n for (JflowEvent ev : c) {\n\t if (!evts.contains(ev)) {\n\t System.err.println(\"JFLOW: Required event \" + ev + \" not found\");\n\t retfg = false;\n\t break;\n\t }\n }\n }\n\n empty_calls = null;\n event_calls = null;\n methods_todo = null;\n return_set = null;\n\n return retfg;\n}", "@Test\n void should_first_player_win_and_finish_the_game() {\n List<Integer> setPointOrderTab = Arrays.asList(1, 1, 1, 2, 1, 1, 1); // 6-1\n\n //WHEN\n game.computePoint(setPointOrderTab, true);\n\n //THEN\n assertTrue(firstPlayer.isWinner());\n assertEquals(GameStatus.FINISHED, game.getGameStatus());\n }", "boolean prepareToMove();", "private void testWithBacktrackingInput(LcssAlgorithm algorithm) {\n\t}", "@Test\r\n\tpublic void testDoLoanCamcorder() {\n\r\n\t\tResourceCentre.addCamcorder(camcorderList, cc1);\r\n\t\tResourceCentre.addCamcorder(camcorderList, cc2);\r\n\r\n\t\t// Item list is not null, newly added item can be loaned out successfully.\r\n\t\tassertNotNull(\"Test that list is not null\", camcorderList);\r\n\t\tassertTrue(\"Test if item can be loaned successfully\",\r\n\t\t\t\tResourceCentre.doLoanCamcorder(camcorderList, \"CC0011\", \"01/01/2010\"));\r\n\r\n\t\t// Item availability is false, when item is loaned out.\r\n\t\tassertFalse(\"Test that itemAvailability is false when loaned out\", cc1.getIsAvailable());\r\n\r\n\t\t// After item is loaned out, it cannot be loaned again.\r\n\t\tassertFalse(\"Test that item cannot be loaned once loaned out\",\r\n\t\t\t\tResourceCentre.doLoanCamcorder(camcorderList, \"CC0011\", \"01/01/2010\"));\r\n\r\n\t\t// Another item in the list can be loaned out successfully.\r\n\t\tassertTrue(\"Test that item can be loaned out successfully\",\r\n\t\t\t\tResourceCentre.doLoanCamcorder(camcorderList, \"CC0012\", \"01/01/2010\"));\r\n\t\tassertFalse(\"Test that itemAvailability is false when loaned out\", cc2.getIsAvailable());\r\n\r\n\t\t// Item can be loaned out again when returned.\r\n\t\tassertTrue(\"Return item.\", ResourceCentre.doReturnCamcorder(camcorderList, \"CC0011\"));\r\n\t\tassertTrue(\"Test that item can be loaned again when returned.\",\r\n\t\t\t\tResourceCentre.doLoanCamcorder(camcorderList, \"CC0011\", \"01/01/2010\"));\r\n\r\n\t}", "@Test\n public void canMoveTest() {\n assertTrue(cp1.canMove(5, 3));\n assertTrue(cp1.canMove(1, 5));\n assertTrue(cp2.canMove(4, 6));\n assertTrue(cp2.canMove(6, 5));\n\n assertFalse(cp1.canMove(0, 5));\n assertFalse(cp1.canMove(3, 4));\n assertFalse(cp2.canMove(2, 6));\n assertFalse(cp2.canMove(7, 4));\n }", "@Test\n public void testFingerprintPerturbation()\n {\n IDoubleArray M = null;\n IDoubleArray p0 = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintPerturbation(M, p0, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testOneStep1() {\n board sol = new board(3);\n assertEquals(-2, sol.neighbors(1,2));\n }", "public void postOrderTraversal(){\n System.out.println(\"postOrderTraversal\");\n //TODO: incomplete\n\n }", "@Test\r\n\tpublic void testDoReturnCamcorder() {\n\r\n\t\tResourceCentre.addCamcorder(camcorderList, cc1);\r\n\t\tResourceCentre.addCamcorder(camcorderList, cc2);\r\n\r\n\t\t// Item list is not null, newly added item cannot be returned successfully.\r\n\t\tassertNotNull(\"Test that list is not null\", camcorderList);\r\n\t\tassertFalse(\"Test that item cannot be returned if not loaned\",\r\n\t\t\t\tResourceCentre.doReturnCamcorder(camcorderList, \"CC0011\"));\r\n\r\n\t\t// Item can be returned successfully, when loaned out.\r\n\t\tResourceCentre.doLoanCamcorder(camcorderList, \"CC0011\", \"01/01/2010\");\r\n\t\tassertTrue(\"Test that item can be returned when loaned out.\",\r\n\t\t\t\tResourceCentre.doReturnCamcorder(camcorderList, \"CC0011\"));\r\n\r\n\t\t// Item can be loaned again and returned successfully\r\n\t\tassertTrue(\"Test that item can be loaned again when returned.\",\r\n\t\t\t\tResourceCentre.doLoanCamcorder(camcorderList, \"CC0011\", \"01/01/2010\"));\r\n\t\tassertTrue(\"Test that item can be returned when reloaned.\",\r\n\t\t\t\tResourceCentre.doReturnCamcorder(camcorderList, \"CC0011\"));\r\n\r\n\t\t// Another item loaned out, can be returned successfully.\r\n\t\tResourceCentre.doLoanCamcorder(camcorderList, \"CC0012\", \"01/01/2010\");\r\n\t\tassertTrue(\"Test that other loaned items can be returned.\",\r\n\t\t\t\tResourceCentre.doReturnCamcorder(camcorderList, \"CC0012\"));\r\n\r\n\t}", "public void testMainLBGFSCachedSemiMarkov() throws Exception {\n\t\tConrad.main(new String[] {\"train\", \"test/input/zeroOrderLBFGSCachedSemiMarkov.xml\", \"test/input/zeroOrderTestShortMax.txt\", \"test/working/zeroLBGFSModelCachedSemiMarkov.ser\"});\n\t\tConrad.main(new String[] {\"test\", \"test/working/zeroLBGFSModelCachedSemiMarkov.ser\", \"test/input/zeroOrderTest.txt\", \"test/working/zeroOrderMainLBGFSCachedSemiMarkovPredicted.txt\"});\n\t\tConrad.main(new String[] {\"test\", \"test/working/zeroLBGFSModelCachedSemiMarkov.ser\", \"test/input/zeroOrderTest2.txt\", \"test/working/zeroOrder2MainLBGFSCachedSemiMarkovPredicted.txt\"});\n\t\tassertFilesMatch(\"test/output/zeroOrder2MainLBGFSCachedSemiMarkovPredicted.txt\", \"test/working/zeroOrder2MainLBGFSCachedSemiMarkovPredicted.txt\");\n\t}", "@Test\n public void testPerturbationExpectation()\n {\n IDoubleArray M = null;\n IDoubleArray pi0 = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.perturbationExpectation(M, pi0, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void moveForward()\r\n\t{\r\n\t\tif(loc[1] > 1)\r\n\t\t{\r\n\t\t\tthis.loc[0] -= Math.sin(Math.toRadians(heading-90))distance; \r\n\t\t\tthis.loc[2] -= Math.cos(Math.toRadians(heading-90))distance;\r\n\t\t}\r\n\t}", "@Test\n void checkCanForcePush() {\n assertTrue(abilities.checkCanMove(turn, board.getCellFromCoords(1, 1)));\n }" ]	[ "0.73157567", "0.5696445", "0.5407438", "0.5370475", "0.5315627", "0.5297077", "0.52137655", "0.5186107", "0.5174689", "0.5161525", "0.514915", "0.5140223", "0.51295894", "0.51269275", "0.5122024", "0.5105485", "0.50585884", "0.5049636", "0.5036233", "0.5028699", "0.50246537", "0.5016886", "0.5013046", "0.50118345", "0.5009671", "0.49854717", "0.49831387", "0.4970342", "0.49686942", "0.49615905", "0.49546912", "0.49546435", "0.49254212", "0.49233523", "0.491903", "0.49188855", "0.4915743", "0.49134174", "0.49050665", "0.48978156", "0.48891675", "0.48823127", "0.48783273", "0.48740086", "0.4873778", "0.48714408", "0.48658153", "0.48592442", "0.48515072", "0.48503545", "0.4849493", "0.48435515", "0.48196775", "0.48117104", "0.4810579", "0.48068994", "0.4806483", "0.4803082", "0.48007283", "0.47932193", "0.47879368", "0.47771865", "0.4771149", "0.47700834", "0.47671062", "0.47579277", "0.4757582", "0.47568548", "0.47499523", "0.4748718", "0.47377494", "0.4735701", "0.4735375", "0.4733875", "0.4732468", "0.47286302", "0.4727222", "0.47223297", "0.47217", "0.47197184", "0.4717603", "0.47158453", "0.4714894", "0.4714576", "0.47139907", "0.47095096", "0.47037196", "0.47021353", "0.46882117", "0.46873432", "0.4684565", "0.4680643", "0.46772993", "0.4661284", "0.46556902", "0.4653527", "0.46474716", "0.46464214", "0.46454066", "0.46447304" ]	0.8232362	0
Test of backwardCommittor method, of class MarkovModelUtilities.	@Test public void testBackwardCommittor() { IDoubleArray M = null; IIntArray A = null; IIntArray B = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.backwardCommittor(M, A, B); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "boolean isBackwardPredicted()\n {\n return (mbType & BACKWARD)!=0;\n }", "@Test\n public void shouldPredictByRotatingPreviousMoveInReverseDirection() {\n ReverseRotationStrategy strategy = new ReverseRotationStrategy();\n\n strategy.addHistory(Shape.ROCK, Shape.PAPER);\n assertTrue(Arrays.equals(strategy.getNextMoves(), Shape.ROCK.defeatedBy()));\n\n strategy.addHistory(Shape.ROCK, Shape.ROCK);\n assertTrue(Arrays.equals(strategy.getNextMoves(), Shape.SPOCK.defeatedBy()));\n }", "@Override\n public void backward() {\n }", "@Override\r\n\tprotected String doBackward(List<Emotion> b) {\n\t\treturn null;\r\n\t}", "protected void assertBackToState() {\n\t\tassertTrue(recorder.recorded(EC.TLC_BACK_TO_STATE));\n\t\tfinal List<Object> loop = recorder.getRecords(EC.TLC_BACK_TO_STATE);\n\t\tassertTrue(loop.size() > 0);\n\t}", "public void moveBackward(boolean endWithBrake){\r\n \r\n Motor.B.rotate(-1DEGREES_PER_TILE, true);//Accesses Motor thread\r\n Motor.C.rotate(-1DEGREES_PER_TILE, true);\r\n while(Motor.B.isMoving() \|\| Motor.C.isMoving())\r\n ;//wait for motors to be done\r\n return;\r\n }", "@Test\n\tpublic void testReverse() {\n\t\tassertEquals(6543, Exercise6point3.reverse(3456));\n\t\tif (6543 == Exercise6point3.reverse(3456)) {\n\t\t\tSystem.out.println(\"Reverse function is correct.\");\n\t\t}\n\t\telse {\n\t\t\tSystem.out.println(\"Reverse Function is a failure.\");\n\t\t}\n\t}", "@Test\n public void navigateBack() throws Exception {\n }", "@Test\n public void testIterator_Backward() {\n OasisList<Integer> baseList = new SegmentedOasisList<>();\n baseList.addAll(Arrays.asList(1, 2, 6, 8));\n\n ListIterator<Integer> instance = baseList.listIterator();\n\n int i = 0;\n while (instance.hasNext()) {\n instance.next();\n }\n\n i = baseList.size() - 1;\n while (instance.hasPrevious()) {\n assertEquals(baseList.get(i--), instance.previous());\n }\n\n }", "public void stepBackward() {\n\t\tposition = backwardPosition();\n\t}", "@Test\n public void testcancelwithoutrefund()\n {\n\n BusinessManager businessManager = new BusinessManager();\n\n //how do i test void\n //how to i move back to current\n //assertEquals(businessManager.cancelConfirm(\"yes\"), );\n\n\n }", "public void backward()\n\t{\n\t\tupdateState( MotorPort.BACKWARD);\n\t}", "@Test\n public void testPerformReverseStep_altThenReverseToInit() throws IOException {\n initializeTestWithModelPath(\"models/even_odd.als\");\n String dotString1 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1\",\n \"\\tS2 -> S3\",\n \"\\tS3 -> S4\",\n \"\\tS4\",\n \"}\",\n \"\"\n );\n String dotString2 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1\",\n \"\\tS2 -> S3\",\n \"\\tS3 -> S4\",\n \"\\tS4 -> S5\",\n \"\\tS5\",\n \"}\",\n \"\"\n );\n String state1 = String.join(\"\\n\",\n \"\",\n \"S2\",\n \"----\",\n \"i: { 1 }\",\n \"\"\n );\n String state2 = String.join(\"\\n\",\n \"\",\n \"S5\",\n \"----\",\n \"i: { 7 }\",\n \"\"\n );\n String history = String.join(\"\\n\",\n \"\",\n \"S2 (-3)\",\n \"---------\",\n \"i: { 1 }\",\n \"\",\n \"S3 (-2)\",\n \"---------\",\n \"i: { 3 }\",\n \"\",\n \"S4 (-1)\",\n \"---------\",\n \"i: { 5 }\",\n \"\"\n );\n\n assertTrue(sm.initialize(modelFile, false));\n assertTrue(sm.selectAlternatePath(false));\n assertTrue(sm.performStep(2));\n sm.performReverseStep(2);\n assertEquals(state1, sm.getCurrentStateString());\n assertEquals(\"\", sm.getHistory(3));\n assertEquals(dotString1, sm.getDOTString());\n\n assertTrue(sm.performStep(3));\n assertEquals(state2, sm.getCurrentStateString());\n assertEquals(history, sm.getHistory(4));\n assertEquals(dotString2, sm.getDOTString());\n }", "@Test\n\tpublic void testUndo()\n\t{\n\t}", "@Test\n\tpublic void checkReverseString()\n\n\t{\n\t\tassertEquals(\"nitin si a doog yob \",test.testReverseString(\"nitin is a good boy\"));\n\t\t\n\t}", "@Test\n public void testSolveBackwardMaze(){\n try {\n //link row 1\n largeMaze.linkPillars(Maze.position(0, 0), Maze.position(1, 0));\n largeMaze.linkPillars(Maze.position(1, 0), Maze.position(2, 0));\n largeMaze.linkPillars(Maze.position(2, 0), Maze.position(3, 0));\n largeMaze.linkPillars(Maze.position(3, 0), Maze.position(4, 0));\n largeMaze.linkPillars(Maze.position(1, 0), Maze.position(1, 1));\n\n //link row 2\n largeMaze.linkPillars(Maze.position(1, 1), Maze.position(2, 1));\n largeMaze.linkPillars(Maze.position(1, 1), Maze.position(1, 2));\n largeMaze.linkPillars(Maze.position(3, 1), Maze.position(4, 1));\n\n //link row 3\n largeMaze.linkPillars(Maze.position(1, 2), Maze.position(1, 3));\n largeMaze.linkPillars(Maze.position(1, 2), Maze.position(2, 2));\n\n //link row 4\n largeMaze.linkPillars(Maze.position(1, 3), Maze.position(0, 3));\n largeMaze.linkPillars(Maze.position(1, 3), Maze.position(2, 3));\n largeMaze.linkPillars(Maze.position(3, 3), Maze.position(4, 3));\n largeMaze.linkPillars(Maze.position(0, 3), Maze.position(0, 4));\n\n //link row 5\n largeMaze.linkPillars(Maze.position(0, 4), Maze.position(1, 4));\n largeMaze.linkPillars(Maze.position(1, 4), Maze.position(2, 4));\n largeMaze.linkPillars(Maze.position(2, 4), Maze.position(3, 4));\n largeMaze.linkPillars(Maze.position(3, 4), Maze.position(4, 4));\n\n //set beginning and end\n largeMaze.setBegin(Maze.position(3, 4));\n largeMaze.setEnd(Maze.position(1, 0));\n shortestPath = MazeSolver.pStar(largeMaze, 25);\n\n assertEquals(null, shortestPath);\n\n } catch (Exception e) {\n fail(\"Unexpected exception was thrown while linking pillars.\");\n }\n }", "public void testRevert() {\n\t\tthis.two.revert();\n\t\tthis.one.revert();\n\t\tthis.replayMockObjects();\n\t\tthis.aggregate.revert();\n\t\tthis.verifyMockObjects();\n\t}", "@Test\n public void revertBackTest() {\n stack.revertBack(stack2);\n assertEquals(stack2.toString(), stack.toString());\n\n ResourceStack stack3 = new ResourceStack(99,99,99,99);\n stack2.revertBack(stack3);\n assertEquals(stack3.toString(), stack2.toString());\n }", "public boolean canSeekBackwards() {\n/* 131 / return true;\n/ / }", "@Test\n public void updateDecline() throws Exception {\n }", "@Test\n public void testPerformReverseStep_reverseThenAltAtInit() throws IOException {\n initializeTestWithModelPath(\"models/even_odd.als\");\n String dotString1 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1 -> S2\",\n \"\\tS2 -> S3\",\n \"\\tS3\",\n \"}\",\n \"\"\n );\n String dotString2 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1 -> S2\",\n \"\\tS2 -> S3\",\n \"\\tS3\",\n \"\\tS4\",\n \"}\",\n \"\"\n );\n String dotString3 = String.join(\"\\n\",\n \"digraph graphname {\",\n \"\\tS1 -> S2\",\n \"\\tS2 -> S3\",\n \"\\tS3\",\n \"\\tS4 -> S5\",\n \"\\tS5\",\n \"}\",\n \"\"\n );\n String state1 = String.join(\"\\n\",\n \"\",\n \"S1\",\n \"----\",\n \"i: { 0 }\",\n \"\"\n );\n String state2 = String.join(\"\\n\",\n \"\",\n \"S4\",\n \"----\",\n \"i: { 1 }\",\n \"\"\n );\n String state3 = String.join(\"\\n\",\n \"\",\n \"S5\",\n \"----\",\n \"i: { 3 }\",\n \"\"\n );\n String history = String.join(\"\\n\",\n \"\",\n \"S4 (-1)\",\n \"---------\",\n \"i: { 1 }\",\n \"\"\n );\n\n assertTrue(sm.initialize(modelFile, false));\n assertTrue(sm.performStep(2));\n sm.performReverseStep(2);\n assertEquals(state1, sm.getCurrentStateString());\n assertEquals(\"\", sm.getHistory(3));\n assertEquals(dotString1, sm.getDOTString());\n\n assertTrue(sm.selectAlternatePath(false));\n assertEquals(state2, sm.getCurrentStateString());\n assertEquals(\"\", sm.getHistory(3));\n assertEquals(dotString2, sm.getDOTString());\n\n assertTrue(sm.performStep(1));\n assertEquals(state3, sm.getCurrentStateString());\n assertEquals(history, sm.getHistory(3));\n assertEquals(dotString3, sm.getDOTString());\n }", "protected void assertBackToState(int stateNum) {\n\t\tassertTrue(recorder.recorded(EC.TLC_BACK_TO_STATE));\n\t\tList<Object> loop = recorder.getRecords(EC.TLC_BACK_TO_STATE);\n\t\tassertTrue(loop.size() > 0);\n\t\tObject[] object = (Object[]) loop.get(0);\n\t\tassertEquals(Integer.toString(stateNum), object[0]);\n\t}", "@Test\n\tpublic void testGive20Back() {\n\t\n\t}", "public boolean isBackward()\n {\n return (state == AnimationState.BACKWARD);\n }", "@Test\n public void testSwapLastTwo() {\n setUpCorrect();\n assertEquals(15, ((Board) boardManager.getBoard()).getTile(3, 2).getId());\n assertEquals(16, ((Board) boardManager.getBoard()).getTile(3, 3).getId());\n ((Board) boardManager.getBoard()).swapTiles(3, 3, 3, 2);\n assertEquals(16, ((Board) boardManager.getBoard()).getTile(3, 2).getId());\n assertEquals(15, ((Board) boardManager.getBoard()).getTile(3, 3).getId());\n }", "protected void assertBackToState(int stateNum, final String action) {\n\t\tassertTrue(recorder.recorded(EC.TLC_BACK_TO_STATE));\n\t\tList<Object> loop = recorder.getRecords(EC.TLC_BACK_TO_STATE);\n\t\tassertTrue(loop.size() > 0);\n\t\tObject[] object = (Object[]) loop.get(0);\n\t\tassertTrue(object.length > 1);\n\t\tassertEquals(Integer.toString(stateNum), object[0]);\n\t\tassertEquals(action, object[1]);\n\t}", "@Test\n public void testEdgeReverse() {\n Edge<Integer, String> target = new Edge<>(1, 2, \"hello\");\n Edge<Integer, String> reverse = target.reverse();\n assertNotNull(reverse);\n assertEquals(Integer.valueOf(2), reverse.getFrom());\n assertEquals(Integer.valueOf(1), reverse.getTo());\n }", "public String navigateBackward(String object, String data) {\n\n\t\ttry {\n\t\t\tdriver.navigate().back();\n\t\t} catch (Exception e) {\n\t\t\n\t\t\treturn Constants.KEYWORD_FAIL + e.getMessage();\n\n\t\t}\n\t\treturn Constants.KEYWORD_PASS + \" clicked on back button\";\n\t}", "@Test\n public void testUndo(){\n //TODO\n }", "@Override\n\tpublic Object backward(Object grad_output) {\n\t\treturn null;\n\t}", "@Override\r\n\tpublic boolean canSeekBackward() {\n\t\treturn true;\r\n\t}", "BackwardAction createBackwardAction();", "@Test\n\tpublic void test_update_last_commit_time_change(){\n\t\ttest2.updateLastCommitTime(current);\n\t\tassertEquals(\"Last Commit Time shoud be updated\", current, test2.getLastCommitTime());\n\t}", "@org.junit.Test\n\tpublic void testingStringReverse() {\n\t\tString result=object.reverseString(\"Game of Thrones\");\n\t\tassertEquals(\"senorhT fo emaG\",result );\n\t}", "public boolean supportsReverseComparison() {\n return true;\n }", "@ScriptyCommand(name = \"dbg-back\", description =\n \"(dbg-back)\\n\" +\n \"Take an evaluation step back to the previous argument without showing sub expression details, inverse of dbg-stepover.\\n\" +\n \"See also: dbg-expr, dbg-stepover.\")\n @ScriptyRefArgList(ref = \"no arguments\")\n public boolean dbgBack(@ScriptyBindingParam(value = \"output\", unboundException = true) PrintWriter writer)\n throws CommandException {\n return internalStep(StepType.BACKSTEP, writer);\n }", "@Test\r\n\tpublic void testDecrementBomb()\r\n\t{\r\n\t\ttestCanPlaceBombBehavior.decrementBomb();\r\n\t\tassertEquals(2,testCanPlaceBombBehavior.countBomb());\r\n\t\t\r\n\t\ttestCanPlaceBombBehavior.decrementBomb();\r\n\t\tassertEquals(1,testCanPlaceBombBehavior.countBomb());\r\n\t}", "@Test\n\tpublic void testForwardStopLoss() throws InvalidGenomeChange {\n\t\tGenomeChange change1 = new GenomeChange(new GenomePosition(refDict, '+', 1, 6649271, PositionType.ZERO_BASED),\n\t\t\t\t\"ACG\", \"CGTT\");\n\t\t// Note that the transcript here differs to the one Mutalyzer uses after the CDS.\n\t\tAnnotation annotation1 = new BlockSubstitutionAnnotationBuilder(infoForward, change1).build();\n\t\tAssert.assertEquals(infoForward.accession, annotation1.transcript.accession);\n\t\tAssert.assertEquals(10, annotation1.annoLoc.rank);\n\t\tAssert.assertEquals(\"c.2067_2delinsCGTT\", annotation1.ntHGVSDescription);\n\t\tAssert.assertEquals(\"p.689Tyrext25\", annotation1.aaHGVSDescription);\n\t\tAssert.assertEquals(ImmutableSortedSet.of(VariantType.NON_FS_SUBSTITUTION, VariantType.STOPLOSS),\n\t\t\t\tannotation1.effects);\n\n\t\t// Replace stop codon by 6 nucleotides, non-frameshift case.\n\t\tGenomeChange change2 = new GenomeChange(new GenomePosition(refDict, '+', 1, 6649270, PositionType.ZERO_BASED),\n\t\t\t\t\"ACT\", \"CGGTCG\");\n\t\tAnnotation annotation2 = new BlockSubstitutionAnnotationBuilder(infoForward, change2).build();\n\t\tAssert.assertEquals(infoForward.accession, annotation2.transcript.accession);\n\t\tAssert.assertEquals(10, annotation2.annoLoc.rank);\n\t\tAssert.assertEquals(\"c.2066_1delinsCGGTCG\", annotation2.ntHGVSDescription);\n\t\tAssert.assertEquals(\"p.689Serext17\", annotation2.aaHGVSDescription);\n\t\t// Note that the transcript here differs to the one Mutalyzer uses after the CDS.\n\t\tAssert.assertEquals(ImmutableSortedSet.of(VariantType.FS_SUBSTITUTION, VariantType.STOPLOSS),\n\t\t\t\tannotation2.effects);\n\n\t\t// Delete first base of stop codon, leads to complete loss.\n\t\tGenomeChange change3 = new GenomeChange(new GenomePosition(refDict, '+', 1, 6649269, PositionType.ZERO_BASED),\n\t\t\t\t\"ACG\", \"CGGT\");\n\t\tAnnotation annotation3 = new BlockSubstitutionAnnotationBuilder(infoForward, change3).build();\n\t\tAssert.assertEquals(infoForward.accession, annotation3.transcript.accession);\n\t\tAssert.assertEquals(10, annotation3.annoLoc.rank);\n\t\tAssert.assertEquals(\"c.2065_2067delinsCGGT\", annotation3.ntHGVSDescription);\n\t\tAssert.assertEquals(\"p.689Argext16\", annotation3.aaHGVSDescription);\n\t\t// Note that the transcript here differs to the one Mutalyzer uses after the CDS.\n\t\tAssert.assertEquals(ImmutableSortedSet.of(VariantType.FS_SUBSTITUTION, VariantType.STOPLOSS),\n\t\t\t\tannotation3.effects);\n\t}", "@Test\n public void testRequireOnFalseConditionOnInternalCondition() {\n Address redirectContract = deployRedirectContract();\n TransactionResult result = callRedirectContract(redirectContract, false);\n\n // If internal call was not SUCCESS then redirect gets a REVERT as well.\n assertTrue(result.transactionStatus.isReverted());\n }", "static void test_reverse() {\n\n System.out.println( \"\\nTESTS for reverse() : \" );\n\n System.out.print( \"String 'Racecar' returns : \" );\n try { System.out.println(StringStuff.reverse( \"Racecar\" ) ); }\n catch ( Exception e ) { System.out.println ( false ); }\n\n System.out.print( \"String 'sbmal EVOL I' returns : \" );\n try { System.out.println(StringStuff.reverse( \"sbmal EVOL I\" ) ); }\n catch ( Exception e ) { System.out.println ( false ); }\n\n }", "@Test\n public void testReverseRow(){\n ROW.getReverseRow(ROW.getIndex());\n }", "public static void testPrintBackward(LinkedList list) {\n\t\tlist.printBackward();\n\t}", "protected void sequence_BACKWARD(ISerializationContext context, BACKWARD semanticObject) {\n\t\tif (errorAcceptor != null) {\n\t\t\tif (transientValues.isValueTransient(semanticObject, DrnPackage.Literals.DEP_YIMPL__NAME) == ValueTransient.YES)\n\t\t\t\terrorAcceptor.accept(diagnosticProvider.createFeatureValueMissing(semanticObject, DrnPackage.Literals.DEP_YIMPL__NAME));\n\t\t\tif (transientValues.isValueTransient(semanticObject, DrnPackage.Literals.DEP_YIMPL__DISTANCE_CST) == ValueTransient.YES)\n\t\t\t\terrorAcceptor.accept(diagnosticProvider.createFeatureValueMissing(semanticObject, DrnPackage.Literals.DEP_YIMPL__DISTANCE_CST));\n\t\t\tif (transientValues.isValueTransient(semanticObject, DrnPackage.Literals.DEP_YIMPL__TEMPS_CST) == ValueTransient.YES)\n\t\t\t\terrorAcceptor.accept(diagnosticProvider.createFeatureValueMissing(semanticObject, DrnPackage.Literals.DEP_YIMPL__TEMPS_CST));\n\t\t}\n\t\tSequenceFeeder feeder = createSequencerFeeder(context, semanticObject);\n\t\tfeeder.accept(grammarAccess.getBACKWARDAccess().getNameBackwardKeyword_0_0(), semanticObject.getName());\n\t\tfeeder.accept(grammarAccess.getBACKWARDAccess().getDistanceCSTINTTerminalRuleCall_4_0(), semanticObject.getDistanceCST());\n\t\tfeeder.accept(grammarAccess.getBACKWARDAccess().getTempsCSTINTTerminalRuleCall_7_0(), semanticObject.getTempsCST());\n\t\tfeeder.finish();\n\t}", "public String findBackward() {\n\t\t\tString result=\"\";\n\t\t\treturn result ;\n\t\t}", "public void test29() {\n //$NON-NLS-1$\n deployBundles(\"test29\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 1, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.TYPE_ARGUMENT, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertFalse(\"Is compatible\", DeltaProcessor.isCompatible(child));\n }", "private void backward() {\n index--;\n if(column == 0) {\n line--;\n linecount = column = content.getColumnCount(line);\n }else{\n column--;\n }\n }", "public int getBackward() {\n return this.backward;\n }", "@Test\n public void blackOnBarGettingBack() {\n\n game.move(Location.R1, Location.R3);\n game.move(Location.R3, Location.R4);\n game.nextTurn();\n assertTrue(game.move(Location.R6, Location.R4));\n assertEquals(1, game.getCount(Location.B_BAR));\n assertEquals(Color.RED, game.getColor(Location.R4));\n\n assertTrue(game.move(Location.R6, Location.R5));\n game.nextTurn();\n assertFalse(game.move(Location.R1, Location.R2));\n assertTrue(game.move(Location.B_BAR, Location.R3));\n assertTrue(game.move(Location.R1, Location.R5));\n }", "void downgradeLastEdge();", "public void movePointerBackward() throws EndTaskException {\n\t\tpickBeeper();\n\t\tturnAround();\n\t\tmove();\n\t\tputBeeper();\n\t}", "@Test\n public void lastUpdateTest() {\n // TODO: test lastUpdate\n }", "private HashSet<Triple<Integer, Transition, Integer>> getBackwardBoxTransWithRefOnBottom(int root, ForestAutomaton fa, int selectorNum){\n \tHashSet<Triple<Integer, Transition, Integer>> ret=new HashSet<Triple<Integer, Transition, Integer>>();\n\t \tfor(TreeAutomaton ta:fa.lt)\n \t\tfor(int s:ta.getStates())\n \t\tif(ta.isReferenceTo(s, root))\n \t\t\tfor(Transition tran:ta.getTransFrom(s)){\n \t\t\t\tLabel label=tran.getLabel();\n \t\t\t\tStates from=tran.getBottom();\n \t\t\t\tint startLoc=0;\n \t\t\t\tcheck_backtran:\n \t\t\t\tfor(int i=0;i<label.size();i++){\n \t\t\t\t\tint sublabel=label.get(i);\n \t\t\t\t\tif(boxes.get(sublabel)!=null){\n \t\t\t\t\t\tBox box=boxes.get(sublabel);\n \t\t\t\t\t\tfor(int pos:box.getBackPorts(selectorNum)){\n \t\t\t\t\t\t\tif(from.get(startLoc+pos)==s){\n \t\t\t\t\t\t\t\tret.add(new Triple<Integer, Transition, Integer>(ta.getFinal(), tran, s));\n \t\t\t\t\t\t\t\tbreak check_backtran;\n \t\t\t\t\t\t\t}\n \t\t\t\t\t\t}\n \t\t\t\t\t}\n \t\t\t\t\tstartLoc+=ta.getSubLabelRank(sublabel);\n \t\t\t\t}\n \t\t\t\t\n \t\t\t}\n \treturn ret;\n }", "public void test27() {\n //$NON-NLS-1$\n deployBundles(\"test27\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 2, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.ADDED, child.getKind());\n //$NON-NLS-1$\n assertTrue(\"Is visible\", !Util.isVisible(child.getNewModifiers()));\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.VALUE, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertTrue(\"Not compatible\", DeltaProcessor.isCompatible(child));\n child = allLeavesDeltas[1];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertTrue(\"Is visible\", !Util.isVisible(child.getNewModifiers()));\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.NON_FINAL_TO_FINAL, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertTrue(\"Is compatible\", DeltaProcessor.isCompatible(child));\n }", "public void test44() {\n //$NON-NLS-1$\n deployBundles(\"test44\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 1, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.NON_VOLATILE_TO_VOLATILE, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertTrue(\"Not compatible\", DeltaProcessor.isCompatible(child));\n }", "@Override\n\tpublic void moveBackward(int inches) throws ObstacleHitException {\n\t\t\n\t}", "public void test9() {\n //$NON-NLS-1$\n deployBundles(\"test9\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 1, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.INCREASE_ACCESS, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertTrue(\"Not compatible\", DeltaProcessor.isCompatible(child));\n }", "abstract protected void revert();", "@Test\n public void testGetDeltaYRIGHT()\n {\n assertEquals(Direction.RIGHT.getDeltaY(), 0);\n }", "public void backUp(){\n backSolenoid.set(DoubleSolenoid.Value.kForward);\n }", "public void test22() {\n //$NON-NLS-1$\n deployBundles(\"test22\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 2, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.ADDED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.VALUE, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertTrue(\"Not compatible\", DeltaProcessor.isCompatible(child));\n child = allLeavesDeltas[1];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.NON_FINAL_TO_FINAL, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertFalse(\"Is compatible\", DeltaProcessor.isCompatible(child));\n }", "@Test\r\n\tpublic void testGetLast() {\n\t}", "@Test\n public void testStateTransitions3()\n {\n //Undo from starting state\n boolean assertionFailed = false;\n try\n {\n theEngine.undoLastMove();\n }\n catch (AssertionError ae)\n {\n assertionFailed = true;\n }\n \n assertTrue(assertionFailed);\n \n //Undo from playing state\n theEngine.start();\n try\n {\n theEngine.undoLastMove();\n }\n catch (AssertionError ae)\n {\n assertionFailed = true;\n }\n \n //Undo from halted state\n theEngine.quit();\n movePlayerToCell(getEmptyCell());\n theEngine.undoLastMove();\n //didn't throw assertion error, so fine\n assertTrue(theEngine.invariant());\n assertTrue(theEngine.inHaltedState());\n }", "public void mo2476b() {\n Collections.reverse(mo2625k());\n }", "@Test\n public void testDecrementSpeed() {\n saab.currentSpeed = .5;\n saab.decrementSpeed(.3);\n Assertions.assertTrue(saab.getCurrentSpeed() <= .2);\n }", "@Test\r\n @Order(8)\r\n void YmoveDownTest() {\r\n \trobot.setY(100);\r\n \tassertNotEquals(robot.moveDown(), \"Move test failed\\nREASON: moveDown() out of bounds!\");\r\n }", "@Test\r\n public void testSwapLastTwo() {\r\n int id1 = boardManager4.getBoard().getTile(3,2).getId();\r\n int id2 = boardManager4.getBoard().getTile(3,3).getId();\r\n boardManager4.getBoard().swapTiles(3,3,3,2);\r\n assertEquals(id1, boardManager4.getBoard().getTile(3,3).getId());\r\n assertEquals(id2,boardManager4.getBoard().getTile(3,2).getId());\r\n }", "public void past(int back);", "public void backDown(){\n backSolenoid.set(DoubleSolenoid.Value.kReverse);\n }", "public void test2() {\n //$NON-NLS-1$\n deployBundles(\"test2\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 1, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.VALUE, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertFalse(\"Is compatible\", DeltaProcessor.isCompatible(child));\n }", "private void testWithBacktrackingInput(LcssAlgorithm algorithm) {\n\t}", "public void back() {\n\n\tGrid<Actor> gr = getGrid();\n\tif (gr == null)\n\t return;\n\n\tif (!crossLocation.isEmpty()) {\n\t\t\n\t crossLocation.pop();\n\n\t //back\n\t ArrayList<Location> lastNode = crossLocation.peek();\n\t next = lastNode.get(0);\n\t}\n\n\tLocation loc = getLocation();\n\t\n\tif (gr.isValid(next)) {\n\n\t setDirection(loc.getDirectionToward(next));\n\t moveTo(next);\n\n\t} else {\n\t removeSelfFromGrid();\n\t}\n\t\n\tint counter = dirCounter.get(getDirection());\n\tdirCounter.put(getDirection(), --counter);\n\n\tFlower flower = new Flower(getColor());\n\tflower.putSelfInGrid(gr, loc);\n\t\n\tlast = loc;\n }", "public void test33() {\n //$NON-NLS-1$\n deployBundles(\"test33\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 1, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.REMOVED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.TYPE_ARGUMENT, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertFalse(\"Is compatible\", DeltaProcessor.isCompatible(child));\n }", "public void cmdTakeBack(User teller, Game game, int halfmoves) {\n if (!game.status.isPlaying()) {\n command.tell(teller, \"Unable to takeback. {0} isn't currently active.\", game);\n return;\n }\n int remaining = halfmoves;\n while(remaining >= 2) {\n command.spoof(game.whitePlayer, \"takeback 2\");\n command.spoof(game.blackPlayer, \"takeback 2\");\n remaining-=2;\n }\n if (remaining==1) {\n command.spoof(game.whitePlayer, \"takeback\");\n command.spoof(game.blackPlayer, \"takeback\");\n }\n command.tell(teller, \"Taking back {0} moves in {1}.\", halfmoves, game);\n }", "public void test8() {\n //$NON-NLS-1$\n deployBundles(\"test8\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 1, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.DECREASE_ACCESS, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertFalse(\"Is compatible\", DeltaProcessor.isCompatible(child));\n }", "@Test\n public void reverse_Givenastring_ReverseEachWord()\n {\n\n assertEquals(\"a kciuq nworb xof spmuj revo eht yzal god\",fp.Reversethestring(\"a quick brown fox jumps over the lazy dog\"));\n\n }", "public void testGetBackButtonEnabled() {\n System.out.println(\"getBackButtonEnabled\");\n Wizard instance = new Wizard();\n boolean expResult = false;\n boolean result = instance.getBackButtonEnabled();\n assertEquals(expResult, result);\n }", "@Test(description = \"negative test if the kind is changed back to basic\")\n public void t22b_negativeTestChangeKindBackToBasic()\n throws Exception\n {\n this.createNewData(\"Test\")\n .setFlag(\"preventduplicates\", true)\n .from().defSingle(\"cardinality\", \"one\")\n .from().defFlag(\"propagateconnection\", false)\n .to().defSingle(\"clone\", \"replicate\")\n .to().defSingle(\"revision\", \"replicate\")\n .to().defFlag(\"propagateconnection\", false)\n .create();\n this.createNewData(\"Test\")\n .setFlag(\"preventduplicates\", true)\n .from().defSingle(\"cardinality\", \"one\")\n .from().defFlag(\"propagateconnection\", false)\n .to().defSingle(\"clone\", \"replicate\")\n .to().defSingle(\"revision\", \"replicate\")\n .to().defFlag(\"propagateconnection\", false)\n .setSingle(\"kind\", \"compositional\")\n .update(\"\")\n .checkExport();\n this.createNewData(\"Test\")\n .setFlag(\"preventduplicates\", true)\n .from().defSingle(\"cardinality\", \"one\")\n .from().defFlag(\"propagateconnection\", false)\n .to().defSingle(\"clone\", \"replicate\")\n .to().defSingle(\"revision\", \"replicate\")\n .to().defFlag(\"propagateconnection\", false)\n .setSingle(\"kind\", \"basic\")\n .failureUpdate(ErrorKey.DM_RELATION_NOT_BASIC_KIND);\n this.createNewData(\"Test\")\n .setFlag(\"preventduplicates\", true)\n .from().defSingle(\"cardinality\", \"one\")\n .from().defFlag(\"propagateconnection\", false)\n .to().defSingle(\"clone\", \"replicate\")\n .to().defSingle(\"revision\", \"replicate\")\n .to().defFlag(\"propagateconnection\", false)\n .setSingle(\"kind\", \"compositional\")\n .checkExport();\n }", "public TestCase afterThis( Procedure callafter );", "@Test\n\tvoid testReverseOnlyLetters() {\n\t\tassertEquals(\"dc-ba\", new ReverseOnlyLetters().reverseOnlyLetters(\"ab-cd\"));\n\t\tassertEquals(\"j-Ih-gfE-dCba\", new ReverseOnlyLetters().reverseOnlyLetters(\"a-bC-dEf-ghIj\"));\n\t\tassertEquals(\"Qedo1ct-eeLg=ntse-T!\", new ReverseOnlyLetters().reverseOnlyLetters(\"Test1ng-Leet=code-Q!\"));\n\t\tassertEquals(\"e\", new ReverseOnlyLetters().reverseOnlyLetters(\"e\"));\n\t\tassertEquals(\"\", new ReverseOnlyLetters().reverseOnlyLetters(\"\"));\n\t\tassertEquals(\"-\", new ReverseOnlyLetters().reverseOnlyLetters(\"-\"));\n\t}", "@Override\r\n\tpublic boolean reverseAccrualIt() {\n\t\r\n\t\t\r\n\t\treturn false;\r\n\t}", "private void backwardPropagation(int[] trainingData, int[] trainingLabel, double[] outputActivations, double[] hiddenActiv) {\n\t\tdouble[] delta = new double[SIZE_OUTPUT_LAYER];\n\t\t// Update OutputLayer weights\n\t\tfor(int indexOutput = 0; indexOutput < SIZE_OUTPUT_LAYER; indexOutput++) {\n\t\t\t// We define delta as the difference between the real label and the softmax probability\n\t\t\tdelta[indexOutput] = trainingLabel[indexOutput] - outputActivations[indexOutput];\n\n\t\t\tfor(int indexHidden = 0; indexHidden < SIZE_HIDDEN_LAYER; indexHidden++) {\n\t\t\t\tweightsOfOutputLayer[indexOutput][indexHidden] += learningRate * delta[indexOutput] * hiddenActiv[indexHidden] / datasetSize;\n\t\t\t}\t\n\t\t\tbiasOfOutputLayer[indexOutput] += learningRate * delta[indexOutput] / datasetSize;\n\t\t}\t\n\t\t// Create delta2 \n\t\tdouble[] delta2 = new double[SIZE_HIDDEN_LAYER];\n\t\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\n\t\t\tdelta2[i] = 0;\n\t\t\tfor(int j = 0; j < SIZE_OUTPUT_LAYER; j++) {\n\t\t\t\t// Why is it multiplying the weights for delta1?\n\t\t\t\tdelta2[i] += delta[j] * weightsOfOutputLayer[j][i];\n\t\t\t}\n\t\t\tdelta2[i] = dtanh(hiddenActiv[i]);\n\t\t}\n\t\t// Update HiddenLayer weights\n\t\tfor(int i = 0; i < SIZE_HIDDEN_LAYER; i++) {\n\t\t\tfor(int j = 0; j < SIZE_INPUT_LAYER; j++) {\n weightsOfHiddenLayer[i][j] += learningRate delta2[i] * (double)trainingData[j] / datasetSize;\n\t\t\t}\n biasOfHiddenLayer[i] += learningRate * delta2[i] / datasetSize;\n\t\t}\t\n\t}", "boolean undoLastCommand() throws Exception;", "@Test\n\tpublic void backwardsCopy_test2() {\n\t\tSystem.out.println(\"copy前：\" + Arrays.toString(intArr));\t\n\t\tint index = 1;\n//\t\tArrayUtil.backwardsCopy(intArr, index);\n//\t\t//[2, 4, 4, 8, 3, 6, 0, 0]\n//\t\tSystem.out.println(\"copy后（后移）：\" + Arrays.toString(intArr));\n\t\tfor(int i = intArr.length - 1; i > index; i--){\n\t\t\tintArr[i] = intArr[i - 1];\n\t\t}\n//\t\t//[2, 4, 4, 8, 3, 6, 0, 0]\n\t\tSystem.out.println(\"copy后（后移）：\" + Arrays.toString(intArr));\n\t}", "@Test\n\tpublic void testHasUnsavedChangesModifiedFileRevert() throws Exception {\n\t\tIRodinFile rodinFile = createRodinFile(\"P/x.test\");\n\t\tRodinTestRoot root = (RodinTestRoot) rodinFile.getRoot();\n\t\tcreateNEPositive(root, \"foo\", null);\n\t\trodinFile.makeConsistent(null);\n\t\tassertUnsavedChanges(rodinFile, false);\n\t}", "Activity getTransformBackwardActivity();", "public void test12() {\n //$NON-NLS-1$\n deployBundles(\"test12\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 2, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.FINAL_TO_NON_FINAL_NON_STATIC, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertTrue(\"Not compatible\", DeltaProcessor.isCompatible(child));\n child = allLeavesDeltas[1];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.REMOVED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.VALUE, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertFalse(\"Is compatible\", DeltaProcessor.isCompatible(child));\n }", "@Override\n\tpublic boolean reverseAccrualIt() {\n\t\treturn false;\n\t}", "public interface BackTestService {\n\n BackTestResult doSimulationBackTest (String code, Symbol symbol, Period period, Date startDate, Date endDate)\n throws PrerequisiteException;\n\n BackTestResult doBackTest(String code, Symbol symbol, Period period, Date startDate, Date endDate)\n throws PrerequisiteException;\n\n BackTestResult doBackTest(SignalGenerator signalGenerator, Symbol symbol, Period period, Date startDate, Date endDate)\n throws PrerequisiteException;\n\n boolean doBackTestAndSave(SignalGenerator signalGenerator, Symbol symbol, Period period, Date startDate, Date endDate)\n throws PrerequisiteException;;\n}", "public void test25() {\n //$NON-NLS-1$\n deployBundles(\"test25\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 2, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.ADDED, child.getKind());\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.CLINIT, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.CLASS_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertTrue(\"Not compatible\", DeltaProcessor.isCompatible(child));\n child = allLeavesDeltas[1];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertTrue(\"Is visible\", !Util.isVisible(child.getNewModifiers()));\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.FINAL_TO_NON_FINAL_STATIC_CONSTANT, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertTrue(\"Is compatible\", DeltaProcessor.isCompatible(child));\n }", "public void testRollback() throws Exception{\n \t\tsource.open(executionContext);\n \t\t// rollback between deserializing records\n \t\tList first = (List) source.read();\n \t\tsource.mark();\n \t\tList second = (List) source.read();\n \t\tassertFalse(first.equals(second));\n \t\tsource.reset();\n \n \t\tassertEquals(second, source.read());\n \n \t}", "public void backwardChain(String goalVarName)\r\n {\r\n\r\n RuleVariable goalVar = (RuleVariable)variableList.get(goalVarName);\r\n Enumeration<Clause> goalClauses = goalVar.clauseRefs.elements() ;\r\n\r\n while (goalClauses.hasMoreElements()) {\r\n Clause goalClause = (Clause)goalClauses.nextElement() ;\r\n if (goalClause.consequent.booleanValue() == false) continue ;\r\n\r\n goalClauseStack.push(goalClause) ;\r\n\r\n Rule goalRule = goalClause.getRule();\r\n Boolean ruleTruth = goalRule.backChain() ; // find rule truth value\r\n if (ruleTruth == null) {\r\n textArea1.appendText(\"\\nRule \" + goalRule.name + \" is null, can't determine truth value.\");\r\n } else if (ruleTruth.booleanValue() == true) {\r\n // rule is OK, assign consequent value to variable\r\n goalVar.setValue(goalClause.rhs) ;\r\n goalVar.setRuleName(goalRule.name) ;\r\n goalClauseStack.pop() ; // clear item from subgoal stack\r\n textArea1.appendText(\"\\nRule \" + goalRule.name + \" is true, setting \" + goalVar.name + \": = \" + goalVar.value);\r\n if (goalClauseStack.empty() == true) {\r\n textArea1.appendText(\"\\n +++ Found Solution for goal: \" + goalVar.name);\r\n break ; // for now, only find first solution, then stop\r\n }\r\n } else {\r\n goalClauseStack.pop() ; // clear item from subgoal stack\r\n textArea1.appendText(\"\\nRule \" + goalRule.name + \" is false, can't set \" + goalVar.name);\r\n }\r\n\r\n // displayVariables(\"Backward Chaining\") ; // display variable bindings\r\n } // endwhile\r\n\r\n if (goalVar.value == null) {\r\n textArea1.appendText(\"\\n +++ Could Not Find Solution for goal: \" + goalVar.name);\r\n }\r\n }", "public void testUndo() {\n\t\t\tpeople.begin();\n\t\t\tSystem.out.println(\"begin/insert into people (Solo, Han, 5)\");\n\n\t\t\tpeople.insert(new Object[] { \"Solo\", \"Han\", \"5\" });\n\t\t\tSystem.out.println(people.toString());\n\n\t\t\tpeople.begin();\n\t\t\tSystem.out.println(\"begin/insert into people (Lea, Princess, 6)\");\n\n\t\t\tpeople.insert(new Object[] { \"Lea\", \"Princess\", \"6\" });\n\t\t\tSystem.out.println(people.toString());\n\n\t\t\tSystem.out.println(\"commit(THIS_LEVEL)\\n\" + \"rollback(Table.THIS_LEVEL)\\n\");\n\t\t\tpeople.commit(Table.THIS_LEVEL);\n\t\t\tpeople.rollback(Table.THIS_LEVEL);\n\t\t\tSystem.out.println(people.toString());\n\n\t\t\t// Now test that nested transactions work correctly.\n\n\t\t\tSystem.out.println(people.toString());\n\n\t\t\tSystem.out.println(\"begin/insert into people (Vader,Darth, 4)\");\n\t\t\tpeople.begin();\n\t\t\tpeople.insert(new Object[] { \"Vader\", \"Darth\", \"4\" });\n\t\t\tSystem.out.println(people.toString());\n\n\t\t\tSystem.out.println(\"begin/update people set last=Skywalker where last=Vader\");\n\n\t\t\tpeople.begin();\n\t\t\tpeople.update(new Selector() {\n\t\t\t\tpublic boolean approve(Cursor[] tables) {\n\t\t\t\t\treturn tables[0].column(\"last\").equals(\"Vader\");\n\t\t\t\t}\n\n\t\t\t\tpublic void modify(Cursor current) {\n\t\t\t\t\tcurrent.update(\"last\", \"Skywalker\");\n\t\t\t\t}\n\t\t\t});\n\t\t\tSystem.out.println(people.toString());\n\n\t\t\tSystem.out.println(\"delete from people where last=Skywalker\");\n\t\t\tpeople.delete(new Selector.Adapter() {\n\t\t\t\tpublic boolean approve(Cursor[] tables) {\n\t\t\t\t\treturn tables[0].column(\"last\").equals(\"Skywalker\");\n\t\t\t\t}\n\t\t\t});\n\t\t\tSystem.out.println(people.toString());\n\n\t\t\tSystem.out.println(\"rollback(Table.THIS_LEVEL) the delete and update\");\n\t\t\tpeople.rollback(Table.THIS_LEVEL);\n\t\t\tSystem.out.println(people.toString());\n\n\t\t\tSystem.out.println(\"rollback(Table.THIS_LEVEL) insert\");\n\t\t\tpeople.rollback(Table.THIS_LEVEL);\n\t\t\tSystem.out.println(people.toString());\n\t\t}", "public void test3() {\n //$NON-NLS-1$\n deployBundles(\"test3\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 1, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertTrue(\"Is visible\", !Util.isVisible(child.getNewModifiers()));\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.TYPE, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertTrue(\"Not compatible\", DeltaProcessor.isCompatible(child));\n }", "@Test\r\n\t@Order(7)\r\n\tvoid YmoveUpTest() {\r\n\t\trobot.setY(0);\r\n\t\tassertNotEquals(robot.moveUp(),\"Move test failed\\nREASON: moveUp() out of bounds!\");\r\n\t}", "@Override\n void undo() {\n assert false;\n }", "public void test26() {\n //$NON-NLS-1$\n deployBundles(\"test26\");\n IApiBaseline before = getBeforeState();\n IApiBaseline after = getAfterState();\n IApiComponent beforeApiComponent = before.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", beforeApiComponent);\n IApiComponent afterApiComponent = after.getApiComponent(BUNDLE_NAME);\n //$NON-NLS-1$\n assertNotNull(\"no api component\", afterApiComponent);\n IDelta delta = ApiComparator.compare(beforeApiComponent, afterApiComponent, before, after, VisibilityModifiers.ALL_VISIBILITIES, null);\n //$NON-NLS-1$\n assertNotNull(\"No delta\", delta);\n IDelta[] allLeavesDeltas = collectLeaves(delta);\n //$NON-NLS-1$\n assertEquals(\"Wrong size\", 1, allLeavesDeltas.length);\n IDelta child = allLeavesDeltas[0];\n //$NON-NLS-1$\n assertEquals(\"Wrong kind\", IDelta.CHANGED, child.getKind());\n //$NON-NLS-1$\n assertTrue(\"Is visible\", !Util.isVisible(child.getNewModifiers()));\n //$NON-NLS-1$\n assertEquals(\"Wrong flag\", IDelta.VALUE, child.getFlags());\n //$NON-NLS-1$\n assertEquals(\"Wrong element type\", IDelta.FIELD_ELEMENT_TYPE, child.getElementType());\n //$NON-NLS-1$\n assertTrue(\"Not compatible\", DeltaProcessor.isCompatible(child));\n }", "@Test(groups ={Slingshot,Regression})\n\tpublic void ValidateBackcancelAndUserType() {\n\t\tReport.createTestLogHeader(\"MuMv\", \"Verify the Functionalities of editdetails,submit,cancel,back\"); \t \t \t \n\t\tUserProfile userProfile = new TestDataHelper().getUserProfile(\"MuMVTestDatabackcancel\");\n\t\tnew LoginAction()\n\t\t.BgbnavigateToLogin()\n\t\t.BgbloginDetails(userProfile);\n\t\tnew MultiUserMultiViewAction()\n\t\t.ClickManageUserLink()\n\t\t.viewDetailsTable(userProfile)\n\t\t.verifyAndValidateUserTypeFieldContent(userProfile)\n\t\t.Edituserdetailscancel();\t\t\t\t \t \t\t\t\t \t \t\t\t\t\t\t\n\t}", "protected void saveBackwardEdge(Long eID, long vj, long vi) {\n\t\tInteger restCap_vi = getMarkedTuple(vi).getRestCap();\n\t\tint restCap = Math.min(f(eID), restCap_vi);\n\t\tmarkVertice(vj, new Tuple4(\"-\", vi, restCap, false));\n\t}", "boolean previousStep();" ]	[ "0.7147915", "0.614085", "0.6083887", "0.60253245", "0.59855074", "0.58801687", "0.5816005", "0.5647967", "0.5582781", "0.55728054", "0.5560513", "0.5504352", "0.5468938", "0.54436445", "0.5431327", "0.54276717", "0.5408351", "0.5400455", "0.53813577", "0.53793883", "0.5375378", "0.53675824", "0.5344354", "0.53104", "0.5304909", "0.5304017", "0.53038734", "0.5301511", "0.5267903", "0.52673924", "0.5241161", "0.5226381", "0.52176225", "0.52037346", "0.5187142", "0.5185944", "0.5182304", "0.51768684", "0.51745766", "0.51488674", "0.5142795", "0.513935", "0.51348364", "0.5134355", "0.5129788", "0.5110681", "0.5094929", "0.5086515", "0.5077424", "0.5076685", "0.5070599", "0.5057084", "0.50562745", "0.5053711", "0.50431657", "0.5024042", "0.5010692", "0.50092673", "0.5007201", "0.50014794", "0.4999055", "0.49726728", "0.4970708", "0.49704048", "0.49600035", "0.4959796", "0.49584207", "0.49568224", "0.49532703", "0.49487308", "0.4948467", "0.49363977", "0.4936375", "0.4933213", "0.49253422", "0.49180806", "0.4913334", "0.49102664", "0.49079004", "0.49069682", "0.49059525", "0.49039686", "0.4899164", "0.48893318", "0.4886259", "0.48831713", "0.48820382", "0.48788244", "0.48672214", "0.4864577", "0.48634622", "0.48572597", "0.48559958", "0.48491865", "0.48488164", "0.48459458", "0.4844396", "0.48431686", "0.484049", "0.4838685" ]	0.84157175	0
Test of autocorrelation method, of class MarkovModelUtilities.	@Test public void testAutocorrelation() { IDoubleArray M = null; IDoubleArray observable = null; IDoubleArray timepoints = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.autocorrelation(M, observable, timepoints); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.correlation(M, observable1, observable2, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testFingerprintAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintAutocorrelation(M, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void test_0040() {\n AutoCovariance instance = new AutoCovariance(\n new ARIMAModel(new double[]{0.3, -0.2, 0.05, 0.04}, 0, new double[]{0.2, 0.5}),\n 1, 10);\n\n assertEquals(1.461338, instance.evaluate(0), 1e-5);\n assertEquals(0.764270, instance.evaluate(1), 1e-5);\n assertEquals(0.495028, instance.evaluate(2), 1e-5);\n assertEquals(0.099292, instance.evaluate(3), 1e-5);\n assertEquals(0.027449, instance.evaluate(4), 1e-5);\n assertEquals(0.043699, instance.evaluate(5), 1e-5);\n assertEquals(0.032385, instance.evaluate(6), 1e-5);\n assertEquals(0.006320, instance.evaluate(7), 1e-5);\n assertEquals(-0.001298186, instance.evaluate(8), 1e-5);\n assertEquals(0.001713744, instance.evaluate(9), 1e-5);\n assertEquals(0.002385183, instance.evaluate(10), 1e-5);\n }", "@Test\n public void test_0030() {\n AutoCovariance instance = new AutoCovariance(\n new ARIMAModel(\n new double[]{0.5},\n 0,\n new double[]{-0.8}),\n 1, 10);\n\n assertEquals(1.120000, instance.evaluate(0), 1e-5);\n assertEquals(-0.240000, instance.evaluate(1), 1e-5);\n assertEquals(-0.120000, instance.evaluate(2), 1e-5);\n assertEquals(-0.060000, instance.evaluate(3), 1e-5);\n assertEquals(-0.030000, instance.evaluate(4), 1e-5);\n assertEquals(-0.015000, instance.evaluate(5), 1e-5);\n assertEquals(-0.007500, instance.evaluate(6), 1e-5);\n assertEquals(-0.003750, instance.evaluate(7), 1e-5);\n assertEquals(-0.00187500, instance.evaluate(8), 1e-5);\n assertEquals(-0.00093750, instance.evaluate(9), 1e-5);\n assertEquals(-0.00046875, instance.evaluate(10), 1e-5);\n }", "@Test(timeout = 4000)\n public void test033() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.matthewsCorrelationCoefficient((-2935));\n assertEquals(0.0, double0, 0.01);\n }", "@Test\n public void testLogLikelihoodCorrelationMatrix()\n {\n IDoubleArray corr = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihoodCorrelationMatrix(corr, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.matthewsCorrelationCoefficient(5);\n assertEquals(0.0, double0, 0.01);\n }", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testFingerprintCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintCorrelation(M, observable1, observable2);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void testBalancesArff() {\n\t\tfinal String path =\t\"C:/julio/dev/R/\";\n\t\tfinal String inputFile = \"20150526_0501_2013_y_2014-refined.txt\";\n\t\tfinal String outputFile = \"mocoNofuncional.arff\";\n\t\tfinal String outputFile2 = \"20150526_0501_2013_y_2014-refined.arff\";\n\t\t\n//\t\tfinal String inputFile2 = \"2015-1_enclosed-train.txt\";\n//\t\tfinal String outputFile22 = \"dummy-train.arff\";\n//\t\tfinal String outputFile222 = \"2015-1_enclosed-train.arff\";\n\n\t\tarmarArff(path, inputFile, outputFile, outputFile2);\n//\t\tarmarArff(path, inputFile2, outputFile22, outputFile222);\n\n\t}", "@Test\n public void test_IsOxideCorr() {\n System.out.println(\"Testing MeasuredRatioModel's isOxideCorr()\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = false;\n boolean result = instance.isOxideCorr();\n assertEquals(expResult, result);\n instance = new MeasuredRatioModel(\"Specific\",new BigDecimal(\"213\"),\"ABS\",new BigDecimal(\"0.4324\"),true,true);\n result = instance.isOxideCorr();\n expResult=true;\n assertEquals(expResult, result);\n }", "@Test\n\tpublic void testCellularAutomaton() {\n\t\t//Test update() function\n\t\t//Expect result\n\t\t//result1 = new int[][] {{auto.NONE, auto.PREDATOR, auto.PREDATOR},{auto.PREDATOR, auto.PREDATOR, auto.PREDATOR},{auto.PREY, auto.PREY, auto.PREY}};\n\t\t\n\t\t//use update() function\n\t\t//auto.update(autoGrid, auto.PREY, auto.PREDATOR, auto.preyProb);\n\t\t//result2 = auto.getGrid();\n\t\t\n\t\t//Compare each elements...\n\t\t/for (int i = 0; i < 3; i++) {\n\t\t\tfor (int j = 0; j < 3; j++) {\n\t\t\t\tassertTrue(result1[i][j]==result2[i][j]);\n\t\t\t}\n\t\t}/\n\t\t\n\t\t\n\t\t/*\n\t\t Test step() function\n\t\t /\n\t\t//Expect result\n\t\tresult3 = new int[][] {{auto.NONE, auto.PREDATOR, auto.PREY},{auto.PREDATOR, auto.PREDATOR, auto.PREDATOR},{auto.PREY, auto.PREY, auto.PREY}};\n\t\t\n\t\t//set grid as the preset autoGrid\n\t\tauto.setGrid(autoGrid);\n\t\tauto.step();\n\t\t\n\t\t//get the real actual result\n\t\tresult4 = auto.getGrid();\n\t\t\n\t\t//Compare each elements...\n\t\tfor (int i = 0; i < 3; i++) {\n\t\t\tfor (int j = 0; j < 3; j++) {\n\t\t\t\tassertTrue(result3[i][j]==result4[i][j]);\n\t\t\t}\n\t\t}\n\t}", "@Test\n public void test_SetOxideCorr() {\n System.out.println(\"Testing MeasuredRatioModel's setOxideCorr(boolean value)\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = true;\n instance.setOxideCorr(true);\n boolean result = instance.isOxideCorr();\n assertEquals(expResult, result);\n instance.setOxideCorr(false);\n result = instance.isOxideCorr();\n expResult=false;\n assertEquals(expResult, result);\n }", "@Test\n @Deploy(\"org.nuxeo.ai.ai-core:OSGI-INF/auto-config-test.xml\")\n public void testAutoOperation() throws OperationException {\n DocumentModel testDoc = session.createDocumentModel(\"/\", \"My Auto Op Doc\", \"File\");\n testDoc = session.createDocument(testDoc);\n testDoc = docMetadataService.saveEnrichment(session, setupTestEnrichmentMetadata(testDoc));\n session.saveDocument(testDoc);\n txFeature.nextTransaction();\n\n // Call operation on the doc\n OperationContext ctx = new OperationContext(session);\n ctx.setInput(testDoc);\n OperationChain chain = new OperationChain(\"testAutoChain1\");\n chain.add(AutoPropertiesOperation.ID);\n DocumentModel opDoc = (DocumentModel) automationService.run(ctx, chain);\n opDoc = session.saveDocument(opDoc);\n txFeature.nextTransaction();\n SuggestionMetadataWrapper wrapper = new SuggestionMetadataWrapper(testDoc);\n assertTrue(\"dc:title must be AutoFilled.\", wrapper.isAutoFilled(\"dc:title\"));\n assertTrue(\"dc:format must be AutoFilled.\", wrapper.isAutoFilled(\"dc:format\"));\n }", "public void testaReclamacao() {\n\t}", "@Test\n public void testOTAUpdate() {\n final CountDownLatch latch = new CountDownLatch(1);\n FritzVision.StyleTransfer.loadPredictor(managedModel, new PredictorStatusListener<FritzVisionStylePredictor>() {\n @Override\n public void onPredictorReady(FritzVisionStylePredictor stylePredictor) {\n latch.countDown();\n }\n });\n\n try {\n latch.await(TIMEOUT_SECONDS, TimeUnit.SECONDS);\n } catch (InterruptedException e) {\n fail();\n }\n }", "@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }", "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@java.lang.Override\n public boolean hasFunctionApproximation() {\n return calibratorCase_ == 1;\n }", "@Test\n public void test11() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"xx\\\"qa7Q>h6u=;6s.h+.<\");\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.matthewsCorrelationCoefficient(0);\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01D);\n }", "@Test\n\tpublic void testATMSwaptionCalibration() throws CalculationException, SolverException {\n\n\t\tfinal int numberOfPaths\t\t= 10000; // ideale è 10'000 paths!\n\t\tfinal int numberOfFactors\t= 1;\n\n\t\tfinal long millisCurvesStart = System.currentTimeMillis();\n\n\n\t\tSystem.out.println(\"Calibration to Swaptions.\\n\");\n\n\t\tSystem.out.println(\"Calibration of rate curves:\");\n\n\t\tfinal AnalyticModel curveModel = getCalibratedCurve();\n\n\t\t// Create the forward curve (initial value of the LIBOR market model)\n\t\tfinal ForwardCurve forwardCurve = curveModel.getForwardCurve(\"ForwardCurveFromDiscountCurve(discountCurve-EUR,1D)\");\n\t\tfinal DiscountCurve discountCurve = curveModel.getDiscountCurve(\"discountCurve-EUR\");\n\t\t//\t\tcurveModel.addCurve(discountCurve.getName(), discountCurve);\n\n\t\tfinal long millisCurvesEnd = System.currentTimeMillis();\n\t\tSystem.out.println();\n\n\t\tSystem.out.println(\"Brute force Monte-Carlo calibration of model volatilities:\");\n\n\t\tfinal ArrayList<String>\t\t\t\tcalibrationItemNames\t= new ArrayList<>();\n\t\tfinal ArrayList<CalibrationProduct>\tcalibrationProducts\t\t= new ArrayList<>();\n\n\t\tfinal double\tswapPeriodLength\t= 0.5;\n\n\t\tfinal String[] atmExpiries = {\n\t\t\t\t\"1M\", \"1M\", \"1M\", \"1M\", \"1M\", \"1M\", \"1M\", \"1M\", \"1M\", \"1M\", \"1M\", \"1M\", \"1M\", \"1M\",\n\t\t\t\t\"2M\", \"2M\", \"2M\", \"2M\", \"2M\", \"2M\", \"2M\", \"2M\", \"2M\", \"2M\", \"2M\", \"2M\", \"2M\", \"2M\", \n\t\t\t\t\"3M\", \"3M\", \"3M\", \"3M\", \"3M\", \"3M\", \"3M\", \"3M\", \"3M\", \"3M\", \"3M\", \"3M\", \"3M\", \"3M\",\n\t\t\t\t\"6M\", \"6M\", \"6M\", \"6M\", \"6M\", \"6M\", \"6M\", \"6M\", \"6M\", \"6M\", \"6M\", \"6M\", \"6M\", \"6M\",\n\t\t\t\t\"9M\", \"9M\", \"9M\", \"9M\", \"9M\", \"9M\", \"9M\", \"9M\", \"9M\", \"9M\", \"9M\", \"9M\", \"9M\", \"9M\",\n\t\t\t\t\"1Y\", \"1Y\", \"1Y\", \"1Y\", \"1Y\", \"1Y\", \"1Y\", \"1Y\", \"1Y\", \"1Y\", \"1Y\", \"1Y\", \"1Y\", \"1Y\", \n\t\t\t\t\"18M\", \"18M\", \"18M\", \"18M\", \"18M\", \"18M\", \"18M\", \"18M\", \"18M\", \"18M\", \"18M\", \"18M\", \"18M\", \"18M\",\n\t\t\t\t\"2Y\", \"2Y\", \"2Y\", \"2Y\", \"2Y\", \"2Y\", \"2Y\", \"2Y\", \"2Y\", \"2Y\", \"2Y\", \"2Y\", \"2Y\", \"2Y\",\n\t\t\t\t\"3Y\", \"3Y\", \"3Y\", \"3Y\", \"3Y\", \"3Y\", \"3Y\", \"3Y\", \"3Y\", \"3Y\", \"3Y\", \"3Y\", \"3Y\", \"3Y\", \"4Y\",\n\t\t\t\t\"4Y\", \"4Y\", \"4Y\", \"4Y\", \"4Y\", \"4Y\", \"4Y\", \"4Y\", \"4Y\", \"4Y\", \"4Y\", \"4Y\", \"4Y\", \"5Y\", \"5Y\", \"5Y\", \"5Y\",\n\t\t\t\t\"5Y\", \"5Y\", \"5Y\", \"5Y\", \"5Y\", \"5Y\", \"5Y\", \"5Y\", \"5Y\", \"5Y\", \"7Y\", \"7Y\", \"7Y\", \"7Y\", \"7Y\", \"7Y\", \"7Y\",\n\t\t\t\t\"7Y\", \"7Y\", \"7Y\", \"7Y\", \"7Y\", \"7Y\", \"7Y\", \"10Y\", \"10Y\", \"10Y\", \"10Y\", \"10Y\", \"10Y\", \"10Y\", \"10Y\", \"10Y\",\n\t\t\t\t\"10Y\", \"10Y\", \"10Y\", \"10Y\", \"10Y\", \"15Y\", \"15Y\", \"15Y\", \"15Y\", \"15Y\", \"15Y\", \"15Y\", \"15Y\", \"15Y\", \"15Y\",\n\t\t\t\t\"15Y\", \"15Y\", \"15Y\", \"15Y\", \"20Y\", \"20Y\", \"20Y\", \"20Y\", \"20Y\", \"20Y\", \"20Y\", \"20Y\", \"20Y\", \"20Y\", \"20Y\",\n\t\t\t\t\"20Y\", \"20Y\", \"20Y\", \"25Y\", \"25Y\", \"25Y\", \"25Y\", \"25Y\", \"25Y\", \"25Y\", \"25Y\", \"25Y\", \"25Y\", \"25Y\", \"25Y\",\n\t\t\t\t\"25Y\", \"25Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\", \"30Y\" };\n\n\t\tfinal String[] atmTenors = {\n\t\t\t\t\"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\", \n\t\t\t\t\n\t\t\t\t\"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\",\n\t\t\t\t\"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\",\n\t\t\t\t\"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\",\n\n\t\t\t\t\"1Y\", \"2Y\",\"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\",\n\t\t\t\t\"1Y\", \"2Y\", \"3Y\", \"4Y\",\"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\", \"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\",\n\t\t\t\t\"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\", \"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\",\n\t\t\t\t\"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\", \"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\",\n\t\t\t\t\"15Y\", \"20Y\", \"25Y\", \"30Y\", \"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\",\n\t\t\t\t\"25Y\", \"30Y\", \"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\",\n\t\t\t\t\"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\", \"1Y\", \"2Y\",\n\t\t\t\t\"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\", \"1Y\", \"2Y\", \"3Y\", \"4Y\",\n\t\t\t\t\"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\", \"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\",\n\t\t\t\t\"7Y\", \"8Y\", \"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\", \"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\",\n\t\t\t\t\"9Y\", \"10Y\", \"15Y\", \"20Y\", \"25Y\", \"30Y\", \"1Y\", \"2Y\", \"3Y\", \"4Y\", \"5Y\", \"6Y\", \"7Y\", \"8Y\", \"9Y\", \"10Y\",\n\t\t\t\t\"15Y\", \"20Y\", \"25Y\", \"30Y\" };\n\n\t\tfinal double[] atmNormalVolatilities = {\n\t\t\t\t0.0015335, 0.0015179, 0.0019499, 0.0024161, 0.0027817, 0.0031067, 0.0033722, 0.0035158, 0.0036656, 0.0037844, 0.00452, 0.0050913, 0.0054071, 0.0056496,\n\t\t\t\t//next is 2M\n\t\t\t\t0.0016709, 0.0016287, 0.0020182, 0.0024951, 0.002827, 0.0031023, 0.0034348, 0.0036183, 0.0038008, 0.0039155, 0.0046602, 0.0051981, 0.0055116, 0.0057249,\n\t\t\t\t\n\t\t\t\t0.0015543, 0.0016509, 0.0020863, 0.002587, 0.002949, 0.0032105, 0.0035338, 0.0037133, 0.0038475, 0.0040674, 0.0047458, 0.005276, 0.005476, 0.005793,\n\t\t\t\t0.0016777, 0.001937, 0.0023423, 0.0027823, 0.0031476, 0.0034569, 0.0037466, 0.0039852, 0.0041802, 0.0043221, 0.0049649, 0.0054206, 0.0057009, 0.0059071,\n\t\t\t\t//next is 9M\n\t\t\t\t0.0017809, 0.0020951, 0.0024978, 0.0029226, 0.0032379, 0.0035522, 0.0038397, 0.0040864, 0.0043122, 0.0044836, 0.0050939, 0.0054761, 0.0057374, 0.0059448,\n\t\t\t\t\n\t\t\t\t0.0020129, 0.0022865, 0.0027082, 0.0030921, 0.0033849, 0.0037107, 0.0039782, 0.0042058, 0.0044272, 0.0046082, 0.0051564, 0.0055307, 0.0057924, 0.0059811,\n\t\t\t\t//next is 18M\n\t\t\t\t0.0022824, 0.0025971, 0.0029895, 0.0033299, 0.0036346, 0.0039337, 0.0042153, 0.0044347, 0.0046686, 0.0048244, 0.0052739, 0.005604, 0.0058311, 0.0060011,\n\t\t\t\n\t\t\t\t0.0026477, 0.0029709, 0.0033639, 0.0036507, 0.0039096, 0.0041553, 0.0044241, 0.00462, 0.0048265, 0.004989, 0.005361, 0.0056565, 0.0058529, 0.0060102,\n\t\t\t\t0.003382, 0.0036593, 0.0039353, 0.0041484, 0.0043526, 0.0045677, 0.004775, 0.0049506, 0.0051159, 0.0052722, 0.0055185, 0.0057089, 0.0058555, 0.0059432,\n\t\t\t\t0.0040679, 0.0042363, 0.0044602, 0.0046206, 0.0047527, 0.0048998, 0.0050513, 0.0051928, 0.0053439, 0.0054657, 0.0056016, 0.0057244, 0.0058153, 0.0058793,\n\t\t\t\t0.0045508, 0.0046174, 0.0047712, 0.0048999, 0.0050364, 0.0051504, 0.0052623, 0.0053821, 0.0054941, 0.0055918, 0.0056569, 0.0057283, 0.0057752, 0.0058109,\n\t\t\t\t0.0051385, 0.0051373, 0.0052236, 0.005312, 0.0053793, 0.0054396, 0.0055037, 0.0055537, 0.0056213, 0.0056943, 0.005671, 0.0056707, 0.0056468, 0.0056423,\n\t\t\t\t0.0055069, 0.0054836, 0.0055329, 0.0055696, 0.005605, 0.0056229, 0.0056562, 0.005655, 0.0056679, 0.0057382, 0.0056494, 0.0055831, 0.0055096, 0.0054526,\n\t\t\t\t0.0054486, 0.0054057, 0.0054439, 0.005462, 0.0054915, 0.0054993, 0.0055134, 0.0054985, 0.0055318, 0.0055596, 0.005369, 0.0052513, 0.0051405, 0.0050416,\n\t\t\t\t0.005317, 0.005268, 0.005312, 0.0053112, 0.0053417, 0.0053556, 0.0053323, 0.0053251, 0.0053233, 0.0053126, 0.0050827, 0.004922, 0.0047924, 0.0046666,\n\t\t\t\t0.0051198, 0.0051013, 0.0051421, 0.0051418, 0.0051538, 0.005133, 0.0051081, 0.0050552, 0.005055, 0.0050473, 0.0048161, 0.0045965, 0.0044512, 0.0043099,\n\t\t\t\t0.0049482, 0.004947, 0.0049805, 0.0049951, 0.0050215, 0.0049849, 0.0049111, 0.0048498, 0.0047879, 0.0047688, 0.0044943, 0.0042786, 0.0041191, 0.0039756};\n\n\t\tfinal LocalDate referenceDate = LocalDate.of(2020, Month.JULY, 31);\n\t\tfinal BusinessdayCalendarExcludingTARGETHolidays cal = new BusinessdayCalendarExcludingTARGETHolidays();\n\t\tfinal DayCountConvention_ACT_365 modelDC = new DayCountConvention_ACT_365();\n\t\tfor(int i=0; i<atmNormalVolatilities.length; i++ ) {\n\n\t\t\tfinal LocalDate exerciseDate = cal.getDateFromDateAndOffsetCode(referenceDate, atmExpiries[i]);\n\t\t\tfinal LocalDate tenorEndDate = cal.getDateFromDateAndOffsetCode(exerciseDate, atmTenors[i]);\n\t\t\tdouble\texercise\t\t= modelDC.getDaycountFraction(referenceDate, exerciseDate);\n\t\t\tdouble\ttenor\t\t\t= modelDC.getDaycountFraction(exerciseDate, tenorEndDate);\n\n\t\t\t// We consider an idealized tenor grid (alternative: adapt the model grid)\n\t\t\texercise\t= Math.round(exercise/0.25)0.25;\n\t\t\ttenor\t\t= Math.round(tenor/0.25)0.25;\n\t\t\tif(exercise < 0.25) {continue;}\n\t\t\t//if(exercise < 1.0) {continue;}\n\n\t\t\tfinal int numberOfPeriods = (int)Math.round(tenor / swapPeriodLength);\n\n\t\t\tfinal double\tmoneyness\t\t\t= 0.0;\n\t\t\tfinal double\ttargetVolatility\t= atmNormalVolatilities[i];\n\n\t\t\tfinal String\ttargetVolatilityType = \"VOLATILITYNORMAL\";\n\n\t\t\tfinal double\tweight = 1.0;\n\n\t\t\tcalibrationProducts.add(createCalibrationItem(weight, exercise, swapPeriodLength, numberOfPeriods, moneyness, targetVolatility, targetVolatilityType, forwardCurve, discountCurve));\n\t\t\tcalibrationItemNames.add(atmExpiries[i]+\"\\t\"+atmTenors[i]);\n\t\t}\n\n\t\t/\n\t\t * Create a simulation time discretization\n\t\t /\n\t\t// If simulation time is below libor time, exceptions will be hard to track.\n\t\tfinal double lastTime\t= 21.0;\n\t\tfinal double dtLibor\t= 0.5;\n\t\tfinal double dt\t= 0.125;\n\t\tfinal TimeDiscretization timeDiscretizationFromArray = new TimeDiscretizationFromArray(0.0, (int) (lastTime / dt), dt);\n\t\tfinal TimeDiscretization liborPeriodDiscretization = new TimeDiscretizationFromArray(0.0, (int) (lastTime / dtLibor), dtLibor);\n\t\tint seed =1111;\n\t\tSystem.out.println(\"seed: \" + seed);\n\t\tfinal BrownianMotion brownianMotion = new net.finmath.montecarlo.BrownianMotionLazyInit(timeDiscretizationFromArray, numberOfFactors, numberOfPaths, seed / seed /); \n\t\tTimeDiscretization timeToMaturityDiscretization = new TimeDiscretizationFromArray(0.00,0.25, 0.5, 1.00, 2.00, 3.00, 5.00, 7.00, 10.0, 15.0, 21.0);\n\t\t//TimeDiscretization timeToMaturityDiscretization = new TimeDiscretizationFromArray(0.00, 1.00, 2.00, 3.00, 4.00, 5.00, 6.0, 7.00, 8.0,9.0, 10.0, 12.5, 15.0, 21.0);\t\t// needed if you use LIBORVolatilityModelPiecewiseConstantWithMercurioModification: TimeDiscretization = new TimeDiscretizationFromArray(0.0, 0.25, 0.50, 1.0, 2.0, 3.0, 4.0, 5.0, 6.0, 7.0, 8.0, 9.0, 10.0, 15.0, 20.0, 25.0, 30.0, 40.0);\n\t //TimeDiscretization timeToMaturityDiscretization = new TimeDiscretizationFromArray(0.00, 0.5, 1.00, 2.00, 3.00, 4.00, 5.00, 6.00, 7.00, 8.00, 9,00, 10.0, 11.0, 12.0, 13.0, 14.0, 15.0, 16.0 , 17.0, 18.0, 19.0 ,20.0,21.0);\n //TimeDiscretization timeToMaturityDiscretization = new TimeDiscretizationFromArray(0.00, 21, 1.0);\n\n\t\tdouble[] arrayValues = new double [timeToMaturityDiscretization.getNumberOfTimes()];\n\t\tfor (int i=0; i<timeToMaturityDiscretization.getNumberOfTimes(); i++) {arrayValues[i]= 0.1/100;}\n\n\t //final LIBORVolatilityModel volatilityModel = new LIBORVolatilityModelTimeHomogenousPiecewiseConstantWithMercurioModification(timeDiscretizationFromArray, liborPeriodDiscretization, timeToMaturityDiscretization, arrayValues);\n\t\tLIBORVolatilityModel volatilityModel = new LIBORVolatilityModelFourParameterExponentialFormWithMercurioModification(timeDiscretizationFromArray, liborPeriodDiscretization, 0.002, 0.0005, 0.2, 0.00005, true); //0.20/100.0, 0.05/100.0, 0.10, 0.05/100.0, \n\t\t//final LIBORVolatilityModel volatilityModel = new LIBORVolatilityModelPiecewiseConstantWithMercurioModification(timeDiscretizationFromArray, liborPeriodDiscretization,optionMaturityDiscretization,timeToMaturityDiscretization, 0.50 / 100);\n\t\t\n\t\tfinal LIBORCorrelationModel correlationModel = new LIBORCorrelationModelExponentialDecayWithMercurioModification(timeDiscretizationFromArray, liborPeriodDiscretization, numberOfFactors, 0.05, false);\n\t\t//AbstractLIBORCovarianceModelParametric covarianceModelParametric = new LIBORCovarianceModelExponentialForm5Param(timeDiscretizationFromArray, liborPeriodDiscretization, numberOfFactors, new double[] { 0.20/100.0, 0.05/100.0, 0.10, 0.05/100.0, 0.10} );\n\t\tfinal AbstractLIBORCovarianceModelParametric covarianceModelParametric = new LIBORCovarianceModelFromVolatilityAndCorrelation(timeDiscretizationFromArray, liborPeriodDiscretization, volatilityModel, correlationModel);\n\n\t\t// Create blended local volatility model with fixed parameter (0=lognormal, > 1 = almost a normal model).\n\t\tfinal AbstractLIBORCovarianceModelParametric covarianceModelDisplaced = new DisplacedLocalVolatilityModel(covarianceModelParametric, 1.0/0.25, false / isCalibrateable /);\n\t\tfinal AbstractLIBORCovarianceModelParametric covarianceModelReducedVolatility = new VolatilityReductionMercurioModel(covarianceModelDisplaced);\n\t\t\n\t\t// Set model properties\n\t\tfinal Map<String, Object> properties = new HashMap<>();\n\t\tSystem.out.println(\"Number of volatility parameters: \" + volatilityModel.getParameter().length);\n\n\t\tproperties.put(\"measure\", LIBORMarketModelFromCovarianceModelWithMercurioModification.Measure.SPOT.name());\n\n\t\t// Choose normal state space for the Euler scheme (the covariance model above carries a linear local volatility model).\n\t\tproperties.put(\"stateSpace\", LIBORMarketModelFromCovarianceModelWithMercurioModification.StateSpace.NORMAL.name());\n\n\t\t// Set calibration properties (should use our brownianMotion for calibration - needed to have to right correlation).\n\t\tfinal Double accuracy = new Double(1E-8);\t// Lower accuracy to reduce runtime of the unit test\n\t\tfinal int maxIterations = 400;\n\t\tfinal int numberOfThreads = 6;\n\t\tfinal OptimizerFactory optimizerFactory = new OptimizerFactoryLevenbergMarquardt(maxIterations, accuracy, numberOfThreads);\n\n\t\t//penso che getParameterAsDouble().length mi ritorni il numero di tutti i paratemtri da calibrare cioè tutta la piecewise volatiliy e anche correlazion\n\t\tfinal double[] parameterStandardDeviation = new double[covarianceModelParametric.getParameterAsDouble().length];\n\t\tfinal double[] parameterLowerBound = new double[covarianceModelParametric.getParameterAsDouble().length];\n\t\tfinal double[] parameterUpperBound = new double[covarianceModelParametric.getParameterAsDouble().length];\n\t\tArrays.fill(parameterStandardDeviation, 0.20/100.0);\n\t\tArrays.fill(parameterLowerBound, 0.0);\n\t\tArrays.fill(parameterUpperBound, Double.POSITIVE_INFINITY);\n\n\t\t// Set calibration properties (should use our brownianMotion for calibration - needed to have to right correlation).\n\t\tfinal Map<String, Object> calibrationParameters = new HashMap<>();\n\t\tcalibrationParameters.put(\"accuracy\", accuracy);\n\t\tcalibrationParameters.put(\"brownianMotion\", brownianMotion);\n\t\tcalibrationParameters.put(\"optimizerFactory\", optimizerFactory);\n\t\tcalibrationParameters.put(\"parameterStep\", new Double(1E-4));\n\t\tproperties.put(\"calibrationParameters\", calibrationParameters);\n\n\t\tfinal long millisCalibrationStart = System.currentTimeMillis();\n\n\t\t/\n\t\t * Create corresponding Forward Market Model\n\t\t /\n\t\tfinal CalibrationProduct[] calibrationItemsLMM = new CalibrationProduct[calibrationItemNames.size()];\n\t\tfor(int i=0; i<calibrationItemNames.size(); i++) {\n\t\t\tcalibrationItemsLMM[i] = new CalibrationProduct(calibrationProducts.get(i).getProduct(),calibrationProducts.get(i).getTargetValue(),calibrationProducts.get(i).getWeight());\n\t\t}\n\t\tfinal LIBORMarketModel mercurioModelCalibrated = LIBORMarketModelFromCovarianceModelWithMercurioModification.of(\n\t\t\t\tliborPeriodDiscretization,\n\t\t\t\tcurveModel,\n\t\t\t\tforwardCurve,\n\t\t\t\tnew DiscountCurveFromForwardCurve(forwardCurve),\n\t\t\t\trandomVariableFactory,\n\t\t\t\tcovarianceModelReducedVolatility,\n\t\t\t\tcalibrationItemsLMM, properties);\n\n\t\tfinal long millisCalibrationEnd = System.currentTimeMillis();\n\t\t\n//-------------------------------------------------------------------------------- fine calibrazione volatility------------------------------\n\t\tSystem.out.println(\"\\nCalibrated parameters are:\");\n\t\tfinal double[] param = ((AbstractLIBORCovarianceModelParametric)((LIBORMarketModelFromCovarianceModelWithMercurioModification) mercurioModelCalibrated).getCovarianceModel()).getParameterAsDouble();\n\t\tfor (final double p : param) {\n\t\t\tSystem.out.println(p);\n\t\t}\n\n\t\tfinal EulerSchemeFromProcessModel process = new EulerSchemeFromProcessModel(mercurioModelCalibrated, brownianMotion);\n\t\tfinal LIBORModelMonteCarloSimulationModel simulationMercurioCalibrated = new LIBORMonteCarloSimulationFromLIBORModel(process);\n\n\t\tSystem.out.println(\"\\nValuation on calibrated model:\");\n\t\tdouble deviationSum\t\t\t= 0.0;\n\t\tdouble deviationSquaredSum\t= 0.0;\n\t\tfor (int i = 0; i < calibrationProducts.size(); i++) {\n\t\t\tfinal AbstractLIBORMonteCarloProduct calibrationProduct = calibrationProducts.get(i).getProduct();\n\t\t\ttry {\n\t\t\t\tfinal double valueModel = calibrationProduct.getValue(simulationMercurioCalibrated);\n\t\t\t\tfinal double valueTarget = calibrationProducts.get(i).getTargetValue().getAverage();\n\t\t\t\tfinal double error = valueModel-valueTarget;\n\t\t\t\tdeviationSum += error;\n\t\t\t\tdeviationSquaredSum += errorerror;\n\t\t\t\tSystem.out.println(calibrationItemNames.get(i) + \"\\t\" + \"Model: \" + formatterValue.format(valueModel) + \"\\t Target: \" + formatterValue.format(valueTarget) + \"\\t Deviation: \" + formatterDeviation.format(valueModel-valueTarget));// + \"\\t\" + calibrationProduct.toString());\n\t\t\t}\n\t\t\tcatch(final Exception e) {\n\t\t\t}\n\t\t}\n\t\t\n\t\tSystem.out.println(\"Time required for calibration of curves.........: \" + (millisCurvesEnd-millisCurvesStart)/1000.0 + \" s.\");\n\t\tSystem.out.println(\"Time required for calibration of volatilities...: \" + (millisCalibrationEnd-millisCalibrationStart)/1000.0 + \" s.\");\n\n\t\tfinal double averageDeviation = deviationSum/calibrationProducts.size();\n\t\tSystem.out.println(\"Mean Deviation:\" + formatterValue.format(averageDeviation));\n\t\tSystem.out.println(\"RMS Error.....:\" + formatterValue.format(Math.sqrt(deviationSquaredSum/calibrationProducts.size())));\n\t\tSystem.out.println(\"__________________________________________________________________________________________\\n\");\n\n\t\tAssert.assertTrue(Math.abs(averageDeviation) < 2E-4);\n\n//\n//\t\t/\n//\t\t Checking serilization\n//\t\t /\n//\t\tbyte[] lmmSerialized = null;\n//\t\ttry {\n//\t\t\tfinal ByteArrayOutputStream baos = new ByteArrayOutputStream();\n//\t\t\tfinal ObjectOutputStream oos = new ObjectOutputStream( baos );\n//\t\t\toos.writeObject(mercurioModelCalibrated.getCloneWithModifiedData(null));\n//\t\t\tlmmSerialized = baos.toByteArray();\n//\t\t} catch (final IOException e) {\n//\t\t\tfail(\"Serialization failed with exception \" + e.getMessage());\n//\t\t}\n//\n//\t\tLIBORMarketModelFromCovarianceModelWithMercurioModification liborMarketModelFromSerialization = null;\n//\t\ttry {\n//\t\t\tfinal ObjectInputStream ois = new ObjectInputStream(new ByteArrayInputStream(lmmSerialized) );\n//\t\t\tliborMarketModelFromSerialization = (LIBORMarketModelFromCovarianceModelWithMercurioModification)ois.readObject();\n//\t\t} catch (IOException \| ClassNotFoundException e) {\n//\t\t\tfail(\"Deserialization failed with exception \" + e.getMessage());\n//\t\t}\n//\n//\t\t/\n//\t\t * Check if the deserialized model and the original calibrated model give the same valuations\n//\t\t /\n//\t\tif(liborMarketModelFromSerialization != null) {\n//\t\t\tfinal LIBORModelMonteCarloSimulationModel simulationFromSerialization = new LIBORMonteCarloSimulationFromLIBORModel(new EulerSchemeFromProcessModel(liborMarketModelFromSerialization, brownianMotion));\n//\n//\t\t\tSystem.out.println(\"\\nValuation on calibrated model:\");\n//\t\t\tfor (int i = 0; i < calibrationProducts.size(); i++) {\n//\t\t\t\tfinal AbstractLIBORMonteCarloProduct calibrationProduct = calibrationProducts.get(i).getProduct();\n//\t\t\t\ttry {\n//\t\t\t\t\tfinal double valueFromCalibratedModel = calibrationProduct.getValue(simulationMercurioCalibrated);\n//\t\t\t\t\tfinal double valueFromSerializedModel = calibrationProduct.getValue(simulationFromSerialization);\n//\t\t\t\t\tfinal double error = valueFromSerializedModel-valueFromCalibratedModel;\n//\t\t\t\t\tAssert.assertEquals(\"Valuation using deserilized model.\", valueFromCalibratedModel, valueFromSerializedModel, 1E-12);\n//\t\t\t\t\tSystem.out.println(calibrationItemNames.get(i) + \"\\t\" + formatterDeviation.format(error));\n//\t\t\t\t}\n//\t\t\t\tcatch(final Exception e) {\n//\t\t\t\t}\n//\t\t\t}\n//\t\t}\n\t\t\n\t\t// CAPLET ON BACKWARD LOOKING RATE SEMESTRALI\n\t\tDecimalFormat formatterTimeValue = new DecimalFormat(\"##0.00;\");\n\t\tDecimalFormat formatterVolValue = new DecimalFormat(\"##0.00000;\");\n\t\tDecimalFormat formatterAnalytic = new DecimalFormat(\"##0.000;\");\n\t\tDecimalFormat formatterPercentage = new DecimalFormat(\" ##0.000%;-##0.000%\", new DecimalFormatSymbols(Locale.ENGLISH));\n\t\tdouble[] mktData = new double[] {/ 6M 0.00167, / / 12M/ 0.00201, / 18M/ 0.00228, / 2Y / 0.00264, 0.0, / 3Y / 0.0033, / 4Y /0.00406, / 5Y / 0.00455, / 6Y - NA / 0.0, / 7Y /0.00513, / 8Y- NA /0.0, / 9Y /0.0, / 10Y /0.00550,0.0,0.0,0.0,0.0, / 15Y /0.00544,0.0,0.0,0.0,0.0, / 20Y /0.0053,0.0,0.0,0.0,0.0,/ 25Y / 0.0053,0.0,0.0,0.0,0.0,/ 30Y /0.00495,0.0,0.0,0.0 };\n\t\t\n\t\tdouble strike = 0.004783;\n\t\n\t\tint liborIndex=1;\n\t\tint mktDataIndex = 0;\n\n\t\t//Results with CALIBRATED model\n\t\tSystem.out.println(\"\\n results on CALIBRATED model \\n\");\n\t\twhile(liborIndex < liborPeriodDiscretization.getNumberOfTimes()) {\n\t\t\tdouble maturityMinusLengthLibor =liborPeriodDiscretization.getTime(liborIndex);\n\t\t\tdouble fixBackwardTime=liborPeriodDiscretization.getTime(liborIndex+1);\n\t\t\tCaplet capletCassical = new Caplet(maturityMinusLengthLibor, dtLibor, strike, dtLibor, false, ValueUnit.NORMALVOLATILITY);\n\t\t\t//set to default ValueUnit.NORMALVOLATILITY for CapletOnBackwardLookingRate\n\t\t\tCapletOnBackwardLookingRate capletBackward = new CapletOnBackwardLookingRate(maturityMinusLengthLibor, dtLibor, strike, dtLibor, false);\t\t\t\n\t\t\tdouble impliedVolClassical = capletCassical.getValue(simulationMercurioCalibrated);\n\t\t\tdouble impliedVolBackward = capletBackward.getValue(simulationMercurioCalibrated);\n\t\t\tdouble analyticFormulaPaper = Math.sqrt(1+0.5/(maturityMinusLengthLibor3));\n\t\t\tdouble ratioImpliedVol = impliedVolBackward/impliedVolClassical;\n\t\t\tdouble error = (analyticFormulaPaper-ratioImpliedVol)/analyticFormulaPaper;\n\n\t\t\tif (liborIndex<5) {\t\t//da i valori del caplet per maturity 1.5Y, 2Y, 2.5Y,.\n\t\t\t\tif (mktData[mktDataIndex] == 0.0) {\n\t\t\t\t\tSystem.out.println(\"Caplet on B(\" + formatterTimeValue.format(maturityMinusLengthLibor) + \", \"\n\t\t\t\t\t\t\t+ formatterTimeValue.format(fixBackwardTime) + \"; \"\n\t\t\t\t\t\t\t+ \"\" + formatterTimeValue.format(fixBackwardTime) + \") \" + \"\\t\" + \"Backward Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolBackward) + \"\\t\" + \"Classical Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolClassical)+ \"\\t\" +\"Analytic ratio: \" \n\t\t\t\t\t\t\t+ formatterAnalytic.format(analyticFormulaPaper)+ \"\\t\" + \"MC ratio: \"\n\t\t\t\t\t\t\t+ formatterAnalytic.format(ratioImpliedVol) + \"\\t\" +\"Error: \"\n\t\t\t\t\t\t+ formatterPercentage.format(error) );\n\t\t\t\tliborIndex+=1;\n\t\t\t\tmktDataIndex+=1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tdouble ratioMktVol =impliedVolBackward/mktData[mktDataIndex];\n\t\t\t\t\tdouble errorMkt = (analyticFormulaPaper-ratioMktVol)/analyticFormulaPaper;\n\t\t\t\t\tSystem.out.println(\"Caplet on B(\" + formatterTimeValue.format(maturityMinusLengthLibor) + \", \"\n\t\t\t\t\t\t\t+ formatterTimeValue.format(fixBackwardTime) + \"; \"\n\t\t\t\t\t\t\t+ \"\" + formatterTimeValue.format(fixBackwardTime) + \") \" + \"\\t\" + \"Backward Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolBackward) + \"\\t\" + \"Classical Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolClassical)+ \"\\t\" +\"Analytic ratio: \" \n\t\t\t\t\t\t\t+ formatterAnalytic.format(analyticFormulaPaper)+ \"\\t\" + \"MC ratio: \"\n\t\t\t\t\t\t\t+ formatterAnalytic.format(ratioImpliedVol) + \"\\t\" +\"Error: \"\n\t\t\t\t\t\t\t+ formatterPercentage.format(error) \n\t\t\t\t\t\t\t+ \"\\t\" +\"Market Caplet Vol. \" + formatterPercentage.format(mktData[mktDataIndex])\n\t\t\t\t\t\t\t+ \"\\t\" +\"Market Ratio: \"\t+ formatterAnalytic.format(ratioMktVol)\t\n\t\t\t\t\t\t\t+ \"\\t\" +\"Market Error: \"\t+ formatterPercentage.format(errorMkt)\n\t\t\t\t\t\t\t);\n\t\t\t\t\t\t\t\n\t\t\t\t\tliborIndex+=1;\n\t\t\t\t\tmktDataIndex+=1;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}\n\t\t\telse {\t//secondo loop da i valori del caplet per maturity 4Y,5Y,...,21\n\t\t\t\tif (mktData[mktDataIndex] == 0.0) {\n\t\t\t\t\tSystem.out.println(\"Caplet on B(\" + formatterTimeValue.format(maturityMinusLengthLibor) + \", \"\n\t\t\t\t\t\t\t+ formatterTimeValue.format(fixBackwardTime) + \"; \"\n\t\t\t\t\t\t\t+ \"\" + formatterTimeValue.format(fixBackwardTime) + \") \" + \"\\t\" + \"Backward Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolBackward) + \"\\t\" + \"Classical Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolClassical)+ \"\\t\" +\"Analytic ratio: \" \n\t\t\t\t\t\t\t+ formatterAnalytic.format(analyticFormulaPaper)+ \"\\t\" + \"MC ratio: \"\n\t\t\t\t\t\t\t+ formatterAnalytic.format(ratioImpliedVol) + \"\\t\" +\"Error: \"\n\t\t\t\t\t\t+ formatterPercentage.format(error) );\n\t\t\t\t\tliborIndex+=2;\n\t\t\t\t\tmktDataIndex+=1;\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tdouble ratioMktVol =impliedVolBackward/mktData[mktDataIndex];\n\t\t\t\t\t\tdouble errorMkt = (analyticFormulaPaper-ratioMktVol)/analyticFormulaPaper;\n\t\t\t\t\t\tSystem.out.println(\"Caplet on B(\" + formatterTimeValue.format(maturityMinusLengthLibor) + \", \"\n\t\t\t\t\t\t\t\t+ formatterTimeValue.format(fixBackwardTime) + \"; \"\n\t\t\t\t\t\t\t\t+ \"\" + formatterTimeValue.format(fixBackwardTime) + \") \" + \"\\t\" + \"Backward Caplet: \" \n\t\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolBackward) + \"\\t\" + \"Classical Caplet: \" \n\t\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolClassical)+ \"\\t\" +\"Analytic ratio: \" \n\t\t\t\t\t\t\t\t+ formatterAnalytic.format(analyticFormulaPaper)+ \"\\t\" + \"MC ratio: \"\n\t\t\t\t\t\t\t\t+ formatterAnalytic.format(ratioImpliedVol) + \"\\t\" +\"Error: \"\n\t\t\t\t\t\t\t\t+ formatterPercentage.format(error) \n\t\t\t\t\t\t\t\t+ \"\\t\" +\"Market Caplet Vol. \" + formatterPercentage.format(mktData[mktDataIndex])\n\t\t\t\t\t\t\t\t+ \"\\t\" +\"Market Ratio: \"\t+ formatterAnalytic.format(ratioMktVol)\t\n\t\t\t\t\t\t\t\t+ \"\\t\" +\"Market Error: \"\t+ formatterPercentage.format(errorMkt)\n\t\t\t\t\t\t\t\t);\n\t\t\t\t\t\tliborIndex+=2;\n\t\t\t\t\t\tmktDataIndex+=1;\n\t\t\t\t\t}\n\t\t\t\t\t\n\t\t\t}\n\t\t}\n\n\n\t\t// Set model properties\n\t\tMap<String, String> properties2 = new HashMap<String, String >();\n\t\tproperties2.put(\"measure\", LIBORMarketModelFromCovarianceModelWithMercurioModification.Measure.SPOT.name());\n\t\tproperties2.put(\"stateSpace\", LIBORMarketModelFromCovarianceModelWithMercurioModification.StateSpace.NORMAL.name());\n\n\t\tfinal LIBORMarketModel MercurioModelNONcalibrated= new LIBORMarketModelFromCovarianceModelWithMercurioModification(\n\t\t\t\tliborPeriodDiscretization,\n\t\t\t\tcurveModel,\n\t\t\t\tforwardCurve,\n\t\t\t\tnew DiscountCurveFromForwardCurve(forwardCurve),\n\t\t\t\trandomVariableFactory,\n\t\t\t\tcovarianceModelReducedVolatility,\n\t\t\t\tproperties2\n\t\t\t\t);\n\n\t\tfinal EulerSchemeFromProcessModel process2 = new EulerSchemeFromProcessModel(MercurioModelNONcalibrated,brownianMotion);\n\t\tfinal LIBORModelMonteCarloSimulationModel simulationMercurioModelNONcalibrated = new LIBORMonteCarloSimulationFromLIBORModel(process2);\n\t\n\t\t\n\t\t//Results with NON calibrated model\n\t\tliborIndex=1;\n\t\tmktDataIndex = 0;\n\t\tSystem.out.println(\"\\n results on NON-CALIBRATED model \\n\");\n\t\twhile(liborIndex < liborPeriodDiscretization.getNumberOfTimes()) {\n\t\t\tdouble maturityMinusLengthLibor =liborPeriodDiscretization.getTime(liborIndex);\n\t\t\tdouble fixBackwardTime=liborPeriodDiscretization.getTime(liborIndex+1);\n\t\t\tCaplet capletCassical = new Caplet(maturityMinusLengthLibor, dtLibor, strike, dtLibor, false, ValueUnit.NORMALVOLATILITY);\n\t\t\t//set to default ValueUnit.NORMALVOLATILITY for CapletOnBackwardLookingRate\n\t\t\tCapletOnBackwardLookingRate capletBackward = new CapletOnBackwardLookingRate(maturityMinusLengthLibor, dtLibor, strike, dtLibor, false);\t\t\t\n\t\t\tdouble impliedVolClassical = capletCassical.getValue(simulationMercurioModelNONcalibrated);\n\t\t\tdouble impliedVolBackward = capletBackward.getValue(simulationMercurioModelNONcalibrated);\n\t\t\tdouble analyticFormulaPaper = Math.sqrt(1+0.5/(maturityMinusLengthLibor3));\n\t\t\tdouble ratioImpliedVol = impliedVolBackward/impliedVolClassical;\n\t\t\tdouble error = (analyticFormulaPaper-ratioImpliedVol)/analyticFormulaPaper;\n\n\t\t\tif (liborIndex<5) {\t\t//da i valori del caplet per maturity 1.0Y, 1.5Y, 2Y, 2.5Y, 3Y\n\t\t\t\tif (mktData[mktDataIndex] == 0.0) {\n\t\t\t\t\tSystem.out.println(\"Caplet on B(\" + formatterTimeValue.format(maturityMinusLengthLibor) + \", \"\n\t\t\t\t\t\t\t+ formatterTimeValue.format(fixBackwardTime) + \"; \"\n\t\t\t\t\t\t\t+ \"\" + formatterTimeValue.format(fixBackwardTime) + \") \" + \"\\t\" + \"Backward Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolBackward) + \"\\t\" + \"Classical Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolClassical)+ \"\\t\" +\"Analytic ratio: \" \n\t\t\t\t\t\t\t+ formatterAnalytic.format(analyticFormulaPaper)+ \"\\t\" + \"MC ratio: \"\n\t\t\t\t\t\t\t+ formatterAnalytic.format(ratioImpliedVol) + \"\\t\" +\"Error: \"\n\t\t\t\t\t\t+ formatterPercentage.format(error) );\n\t\t\t\tliborIndex+=1;\n\t\t\t\tmktDataIndex+=1;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tdouble ratioMktVol =impliedVolBackward/mktData[mktDataIndex];\n\t\t\t\t\tdouble errorMkt = (analyticFormulaPaper-ratioMktVol)/analyticFormulaPaper;\n\n\t\t\t\t\tSystem.out.println(\"Caplet on B(\" + formatterTimeValue.format(maturityMinusLengthLibor) + \", \"\n\t\t\t\t\t\t\t+ formatterTimeValue.format(fixBackwardTime) + \"; \"\n\t\t\t\t\t\t\t+ \"\" + formatterTimeValue.format(fixBackwardTime) + \") \" + \"\\t\" + \"Backward Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolBackward) + \"\\t\" + \"Classical Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolClassical)+ \"\\t\" +\"Analytic ratio: \" \n\t\t\t\t\t\t\t+ formatterAnalytic.format(analyticFormulaPaper)+ \"\\t\" + \"MC ratio: \"\n\t\t\t\t\t\t\t+ formatterAnalytic.format(ratioImpliedVol) + \"\\t\" +\"Error: \"\n\t\t\t\t\t\t\t+ formatterPercentage.format(error) \n\t\t\t\t\t\t\t+ \"\\t\" +\"Market Caplet Vol. \" + formatterPercentage.format(mktData[mktDataIndex])\n\t\t\t\t\t\t\t+ \"\\t\" +\"Market Ratio: \"\t+ formatterAnalytic.format(ratioMktVol)\t\n\t\t\t\t\t\t\t+ \"\\t\" +\"Market Error: \"\t+ formatterPercentage.format(errorMkt)\n\t\t\t\t\t\t\t);\n\t\t\t\t\t\t\t\n\t\t\t\t\tliborIndex+=1;\n\t\t\t\t\tmktDataIndex+=1;\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}\n\t\t\telse {\t//secondo loop da i valori del caplet per maturity 4Y,5Y,...,21\n\t\t\t\tif (mktData[mktDataIndex] == 0.0) {\n\t\t\t\t\tSystem.out.println(\"Caplet on B(\" + formatterTimeValue.format(maturityMinusLengthLibor) + \", \"\n\t\t\t\t\t\t\t+ formatterTimeValue.format(fixBackwardTime) + \"; \"\n\t\t\t\t\t\t\t+ \"\" + formatterTimeValue.format(fixBackwardTime) + \") \" + \"\\t\" + \"Backward Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolBackward) + \"\\t\" + \"Classical Caplet: \" \n\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolClassical)+ \"\\t\" +\"Analytic ratio: \" \n\t\t\t\t\t\t\t+ formatterAnalytic.format(analyticFormulaPaper)+ \"\\t\" + \"MC ratio: \"\n\t\t\t\t\t\t\t+ formatterAnalytic.format(ratioImpliedVol) + \"\\t\" +\"Error: \"\n\t\t\t\t\t\t+ formatterPercentage.format(error) );\n\t\t\t\t\tliborIndex+=2;\n\t\t\t\t\tmktDataIndex+=1;\n\t\t\t\t\t}\n\t\t\t\t\telse {\n\t\t\t\t\t\tdouble ratioMktVol =impliedVolBackward/mktData[mktDataIndex];\n\t\t\t\t\t\tdouble errorMkt = (analyticFormulaPaper-ratioMktVol)/analyticFormulaPaper;\n\n\t\t\t\t\t\tSystem.out.println(\"Caplet on B(\" + formatterTimeValue.format(maturityMinusLengthLibor) + \", \"\n\t\t\t\t\t\t\t\t+ formatterTimeValue.format(fixBackwardTime) + \"; \"\n\t\t\t\t\t\t\t\t+ \"\" + formatterTimeValue.format(fixBackwardTime) + \") \" + \"\\t\" + \"Backward Caplet: \" \n\t\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolBackward) + \"\\t\" + \"Classical Caplet: \" \n\t\t\t\t\t\t\t\t+ formatterPercentage.format(impliedVolClassical)+ \"\\t\" +\"Analytic ratio: \" \n\t\t\t\t\t\t\t\t+ formatterAnalytic.format(analyticFormulaPaper)+ \"\\t\" + \"MC ratio: \"\n\t\t\t\t\t\t\t\t+ formatterAnalytic.format(ratioImpliedVol) + \"\\t\" +\"Error: \"\n\t\t\t\t\t\t\t\t+ formatterPercentage.format(error) \n\t\t\t\t\t\t\t\t+ \"\\t\" +\"Market Caplet Vol. \" + formatterPercentage.format(mktData[mktDataIndex])\n\t\t\t\t\t\t\t\t+ \"\\t\" +\"Market Ratio: \"\t+ formatterAnalytic.format(ratioMktVol)\t\n\t\t\t\t\t\t\t\t+ \"\\t\" +\"Market Error: \"\t+ formatterPercentage.format(errorMkt)\n\t\t\t\t\t\t\t\t);\n\t\t\t\t\t\tliborIndex+=2;\n\t\t\t\t\t\tmktDataIndex+=1;\n\t\t\t\t\t}\n\t\t\t\t\t\n\t\t\t}\n\t\t}\n\n\t\t\n\t\t\n\t\tint timeIndex = 4;\n\t\tSystem.out.println(\" \\n Backward looking rate evaluated at the END of the accrual period:\");\n\t\tfor( liborIndex=0; liborIndex<liborPeriodDiscretization.getNumberOfTimes()-1; liborIndex++) {\n\t\t\tdouble evaluationTime=timeDiscretizationFromArray.getTime(timeIndex);\n\t\t\tdouble liborStartingTime=liborPeriodDiscretization.getTime(liborIndex);\n\t\t\tdouble liborEndingTime=liborPeriodDiscretization.getTime(liborIndex+1);\n\t\t\tRandomVariable backwardLookingRate = simulationMercurioModelNONcalibrated.getLIBOR(timeIndex, liborIndex);\n\t\t\tdouble avgBackwardLookingRate =backwardLookingRate.getAverage();\n\t\t\tSystem.out.println(\"Backward B(\" + formatterTimeValue.format(liborStartingTime) + \", \" + formatterTimeValue.format(liborEndingTime) + \") evaluated in t= \" + formatterTimeValue.format(evaluationTime) + \".\"+ \"\\t\" + \"Average: \" + avgBackwardLookingRate);\n\t\t\ttimeIndex += 4;\n\t\t}\t\n\t\t\n\t\tint timeIndex2 = 0;\n\t\tSystem.out.println(\"\\n Backward looking rate evaluated at the BEGIN of the accrual period:\");\n\t\tfor( liborIndex=0; liborIndex<liborPeriodDiscretization.getNumberOfTimes()-1; liborIndex++) {\n\t\t\tdouble evaluationTime=timeDiscretizationFromArray.getTime(timeIndex2);\n\t\t\tdouble liborStartingTime=liborPeriodDiscretization.getTime(liborIndex);\n\t\t\tdouble liborEndingTime=liborPeriodDiscretization.getTime(liborIndex+1);\n\t\t\tRandomVariable backwardLookingRate = simulationMercurioModelNONcalibrated.getLIBOR(timeIndex2, liborIndex);\n\t\t\tdouble avgBackwardLookingRate =backwardLookingRate.getAverage();\n\t\t\tSystem.out.println(\"Backward B(\" + formatterTimeValue.format(liborStartingTime) + \", \" + formatterTimeValue.format(liborEndingTime) + \") evaluated in t= \" + formatterTimeValue.format(evaluationTime) + \".\"+ \"\\t\" + \"Average: \" + avgBackwardLookingRate);\n\t\t\ttimeIndex2 += 4;\n\t\t}\n\n\t}", "public void testAuta()\n\t{\n\t\tNakladak nakl = new Nakladak(Simulator.getCas());\n\t\tnakl.poloha[0] = this.poloha[0];\n\t\tnakl.poloha[1] = this.poloha[1];\n\t\t//cesta po prekladistich\n\t\tfor(int i=4001;i<4009;i++)\n\t\t{\n\t\t\tnakl.cesta.add(i);\n\t\t}\n\t\tnakl.kDispozici = false;\n\t\tnakl.jede = true;\n\t\tsim.addObserver(nakl);\n\t\t\n\t\tthis.vozy.add(nakl);\n\t\t\n\t}", "@Test\n public void shouldBeZeroForTolkienAuthor() {\n\n }", "@java.lang.Override\n public boolean hasFunctionApproximation() {\n return calibratorCase_ == 1;\n }", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test()\n public void testGetForecastPerMonthWithYearly() {\n\tYearMonth yearMonth = YearMonth.of(2016, 8);\n\tdouble forecast = expenseManager.getForecastPerMonth(yearMonth);\n\tassertEquals(3795.75, forecast, 0.01);\n }", "@Test(timeout = 4000)\n public void test089() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n try { \n evaluation0.correlationCoefficient();\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Can't compute correlation coefficient: class is nominal!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "public boolean magtacTest(double ma, double ac) {\r\n\t boolean magtac2 = true;\r\n\t if (ac > ma) magtac2 = false;\r\n\t\t \r\n\t if (magtac2 != magtac) {\r\n\t\t // System.out.println(ma + \" \" + ac + \" true\");\r\n\t\t \r\n\t\t if (magtac == true) {\r\n\t\t\t magtac = false;\r\n\t\t\t return true;\r\n\t\t }\r\n\t\t magtac = true;\r\n\t\t return true;\r\n\t }\r\n\t // System.out.println(ma + \" \" + ac + \" false\");\r\n\t return false;\r\n }", "@ParameterizedTest\n @ArgumentsSource(TestForestProvider.class)\n public void testGetAnomalyAttribution(RandomCutForest forest) {\n\n double [] point = {0.0,0.0,0.0};\n DiVector seenResult = forest.getAnomalyAttribution(point);\n double seenScore = forest.getAnomalyScore(point);\n assertTrue(seenResult.getHighLowSum(0) < 0.5);\n assertTrue(seenResult.getHighLowSum(1) < 0.5);\n assertTrue(seenResult.getHighLowSum(2) < 0.5);\n assertTrue(seenScore < 1.0);\n assertEquals(seenScore, seenResult.getHighLowSum(), 1E-10);\n\n DiVector likelyResult = forest.getApproximateAnomalyAttribution(point);\n double score=forest.getApproximateAnomalyScore(point);\n assertTrue(likelyResult.getHighLowSum(0) < 0.5);\n assertTrue(likelyResult.getHighLowSum(1) < 0.5);\n assertTrue(likelyResult.getHighLowSum(2) < 0.5);\n assertEquals(score, likelyResult.getHighLowSum(), 0.1);\n assertEquals(seenResult.getHighLowSum(), likelyResult.getHighLowSum(), 0.1);\n }", "@Test(timeout = 4000)\n public void test031() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixSignificance0.getRowName((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.m_StdDev = null;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n \n String string1 = resultMatrixSignificance0.getDisplayName();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Significance only\", string1);\n \n double double0 = resultMatrixSignificance0.getAverage((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixPlainText resultMatrixPlainText0 = null;\n try {\n resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n public void testGetTemperaturaInteriorAlvo() {\n System.out.println(\"getSetTemperaturaInteriorAlvo\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaInteriorAlvo(expResult);\n double result = instance.getTemperaturaInteriorAlvo();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void pruebaCalculCamiseta() {\n System.out.println(\"prueba Calcul Camiseta\");\n Camiseta camisetaTest = new Camiseta(1);\n assertEquals(190, (camisetaTest.calculCamiseta(1)),0) ;\n \n Camiseta camisetaTestDos = new Camiseta(2);\n assertEquals(1481.2, (camisetaTestDos.calculCamiseta(7)),0) ;\n \n Camiseta camisetaTestTres = new Camiseta(3);\n assertEquals(1178, (camisetaTestTres.calculCamiseta(4)),0) ;\n \n \n }", "@Test()\n public void testGetForecastPerMonth() {\n\tYearMonth yearMonth = YearMonth.of(2016, 4);\n\tdouble forecast = expenseManager.getForecastPerMonth(yearMonth);\n\tassertEquals(483, forecast, 0);\n }", "@Test\n public void testAltaEjemplar() {\n System.out.println(\"AltaEjemplar\");\n Date fechaAdquisicion = new Date(1, 10, 2223);\n Date fechaDevolucion = new Date(1, 10, 2220);\n Date fechaPrestamo = new Date(1, 10, 2222);\n String idEjemplar = \"idEjemplar\";\n String localizacion = \"localizacion\";\n String observaciones = \"observaciones\";\n BibliotecarioController instance = new BibliotecarioController();\n \n Ejemplar result = instance.AltaEjemplar(fechaAdquisicion, fechaDevolucion, fechaPrestamo, idEjemplar, localizacion, observaciones);\n assertEquals(fechaAdquisicion, result.getFechaAdquisicion());\n assertEquals(fechaDevolucion, result.getFechaDevolucion());\n assertEquals(fechaPrestamo, result.getFechaPrestamo());\n assertEquals(idEjemplar, result.getIdEjemplar());\n assertEquals(localizacion, result.getLocalizacion());\n assertEquals(observaciones, result.getObservaciones());\n\n }", "@Test\n\tpublic void predFuncTest() \n\t{\n\t\tPath filePath = Paths.get(\"src/test/testfile/test.txt\");\n\t\tScanner scanner;\n\t\ttry {\n\t\t\tscanner = new Scanner(filePath);\n\t\t\tTranslator translator = new Translator();\n\t\t\tList<String> startCodons = new ArrayList<String>();\n\t\t\tstartCodons.add(\"ATG\");\n\t\t\tList<List<String>> result = translator.translation(scanner.next(), startCodons );\n\t\t\tfor(List<String> r : result){\n\t\t\t\tfor(String s : r){\n\t\t\t\t\tif(scanner.hasNext()){\n\t\t\t\t\t\tassertEquals(s, scanner.next());\n\t\t\t\t\t\t\n\t\t\t\t\t}else{\n\t\t\t\t\t\tfail();\n\t\t\t\t\t}\n\t\t\t\t\t\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\t \n\n\t\t} catch (IOException e) {\n\t\t\tfail(e.getLocalizedMessage());\n\t\t}\n\t}", "@Test(timeout = 4000)\n public void test002() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedMatthewsCorrelation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n public void testPerturbationExpectation()\n {\n IDoubleArray M = null;\n IDoubleArray pi0 = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.perturbationExpectation(M, pi0, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test058() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[4];\n double[] doubleArray0 = new double[7];\n doubleArray0[3] = (double) 1;\n String[] stringArray1 = resultMatrixSignificance0.getOptions();\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertNotNull(stringArray1);\n assertNotSame(stringArray1, stringArray0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(18, stringArray1.length);\n assertFalse(stringArray1.equals((Object)stringArray0));\n \n doubleArray0[6] = (double) 0;\n stringArray0[3] = \")\";\n try { \n resultMatrixSignificance0.setOptions(stringArray0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Utils\", e);\n }\n }", "@Test(timeout = 4000)\n public void test101() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n Vector<Integer> vector0 = new Vector<Integer>();\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertNotNull(vector0);\n \n resultMatrixSignificance0.m_HeaderKeys = vector0;\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertTrue(resultMatrixSignificance0.m_HeaderKeys.isEmpty());\n assertEquals(\"[]\", resultMatrixSignificance0.m_HeaderKeys.toString());\n assertEquals(0, resultMatrixSignificance0.m_HeaderKeys.size());\n assertEquals(10, resultMatrixSignificance0.m_HeaderKeys.capacity());\n \n boolean boolean0 = vector0.add((Integer) 0);\n assertEquals(10, vector0.capacity());\n assertEquals(1, vector0.size());\n assertEquals(\"[0]\", vector0.toString());\n assertFalse(vector0.isEmpty());\n assertTrue(vector0.contains(0));\n assertTrue(boolean0);\n \n int int0 = resultMatrixSignificance0.getDefaultMeanWidth();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n \n String string0 = resultMatrixSignificance0.getRevision();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n resultMatrixSignificance0.setOptions((String[]) null);\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(618, 691);\n }", "@Test\n public void testCustomerRewardService() {\n CustomerReward customerReward = customerRewardService.calculateRewards(\"custId1\");\n\n System.out.println(\"Custormer Avg Reward: \" + customerReward.getAverageRewardsPerMonth());\n System.out.println(\"Custormer Total Reward: \" + customerReward.getTotalRewards());\n\n customerReward = customerRewardService.calculateRewards(\"custId2\");\n System.out.println(\"Custormer Avg Reward: \" + customerReward.getAverageRewardsPerMonth());\n System.out.println(\"Custormer Total Reward: \" + customerReward.getTotalRewards());\n\n\n }", "public Automato equalAF2AFN(Automato a){\n\t\t//a construcao da equivalencia de A será feita, utilizando a \n\t\t//tecnica de busca em largura.\n\t\t\n\t\tAutomato r = new Automato();\n\t\t//fechamento transitivo vazio (Epsilon)\n\t\tArrayList<Estado> fecho = new ArrayList<>();\n\t\t//conjunto de estados resultante do movimento com simbolo '0'\n\t\tArrayList<Estado> zero = new ArrayList<>();\n\t\t//conjunto de estados resultante do movimento com simbolo '1'\n\t\tArrayList<Estado> um = new ArrayList<>();\n\t\t//fila com os filhos(zero e um) do fechamento transtivo\n\t\tArrayList<ArrayList<Estado>> fila = new ArrayList<>();\n\t\t//calcula o fechamento do estado inicial\n\t\tfecho = a.fechamento(a.getQ().get(0));\n\t\tfila.add(fecho);\n\t\twhile(!fila.isEmpty()){\n\t\t\tfecho = fila.get(0);\n\t\t\tEstado inicial = new Estado(montar(fecho));\n\t\t\t//se os estado nao existir cria-se esse novo estado.\n\t\t\tif (!r.existe(inicial))\n\t\t\t\tr.addEstado(inicial);\n\t\t\telse\n\t\t\t\tinicial = r.getEstado(inicial);\n\t\t\t//calcula os movimentos com 0 e 1\n\t\t\tzero = a.movimento(fecho, '0');\n\t\t\tum = a.movimento(fecho, '1');\n\t\t\tif (!zero.isEmpty()){\n\t\t\t\t//se possui movimento com 0 calcula o fechamento\n\t\t\t\tfecho = a.fechamento(zero);\n\t\t\t\tEstado e = new Estado(montar(fecho));\n\t\t\t\tif (!r.existe(e))\n\t\t\t\t\t//se o estado nao existe cria o estado\n\t\t\t\t\tr.addEstado(e);\n\t\t\t\telse\n\t\t\t\t\te = r.getEstado(e);\n\t\t\t\tif (!r.existe(inicial, e, '0')){\n\t\t\t\t\t//se a trasicao nao existe cria a transicao\n\t\t\t\t\t//e adiciona o fechamento na fila\n\t\t\t\t\tfila.add(fecho);\n\t\t\t\t\tr.addTransicao(inicial, e, '0');\n\t\t\t\t}\n\t\t\t}\n\t\t\tif (!um.isEmpty()){\n\t\t\t\tfecho = a.fechamento(um);\n\t\t\t\t\n\t\t\t\tEstado e = new Estado(montar(fecho));\n\t\t\t\tif (!r.existe(e))\n\t\t\t\t\t//se o estado nao existe cria o estado\n\t\t\t\t\tr.addEstado(e);\n\t\t\t\telse\n\t\t\t\t\te = r.getEstado(e);\n\t\t\t\tif (!r.existe(inicial, e, '1')){\n\t\t\t\t\t//se a trasicao nao existe cria a transicao\n\t\t\t\t\t//e adiciona o fechamento na fila\n\t\t\t\t\tfila.add(fecho);\n\t\t\t\t\tr.addTransicao(inicial, e, '1');\n\t\t\t\t}\n\t\t\t}\n\t\t\tfila.remove(0);\n\t\t}\n\t\tatribuirFinais(r, a.getF());\n\t\tOperacao.updateIndex(r);\n\t\treturn r;\n\t}", "@Test\r\n\t\tpublic void testMovimientoTorreBlanca0() {\r\n\t\t \r\n\t\t\tDatosPrueba prueba = new DatosPrueba(torreBlanca0,\r\n\t\t\t\t\t\"Error al comprobar los movimientos de la torre blanca en el inicio de una aprtida en la posición 1a. \");\r\n\t\t\tboolean res = this.testMovimientos(prueba); \r\n\t\t\tassertTrue(prueba.getMensaje(), res);\r\n\t\t \r\n\t\t}", "@Test\r\n\tpublic void macroTest(){\r\n\t\t\r\n\t\trunner = new AutoRunner();\r\n\t\t//runnerSpy = spy(runner);\r\n\t\t//macro = new AutoTranslateRightMacro();\r\n\t\t\r\n\t\tReferenceData.getInstance().getDriveTrainData().setLeftEncoderTicks(0);\r\n\t\tReferenceData.getInstance().getDriveTrainData().setRightEncoderTicks(0);\r\n\t\t\r\n\t\tReferenceData.getInstance().getUserInputData().setAutoTranslateLeft(true);\r\n\t\t//runner.setTask(macro);\r\n\t\tReferenceData.getInstance().getUserInputData().setAutoTranslateRight(true);\r\n\t\trunner.teleopPeriodic();\r\n\t\t\r\n\t\tassertTrue(runner.getTask().hasInitalized());\r\n\t\t\r\n\t\tReferenceData.getInstance().getDriveTrainData().setLeftEncoderTicks(100);\r\n\t\tReferenceData.getInstance().getDriveTrainData().setRightEncoderTicks(100);\r\n\t\t\r\n\t\trunner.teleopPeriodic();\r\n\t\t//goFoward1\r\n\t\tassertEquals(1, ReferenceData.getInstance().getUserInputData().getJoystickLeft(), .0001);\r\n\t\tassertEquals(1, ReferenceData.getInstance().getUserInputData().getJoystickRight(), .0001);\r\n\t\tassertEquals(0, ReferenceData.getInstance().getUserInputData().getJoystickX(), .0001);\r\n\t\tassertEquals(1, ReferenceData.getInstance().getUserInputData().getJoystickY(), .0001);\r\n\r\n\t\tReferenceData.getInstance().getDriveTrainData().setLeftEncoderTicks(1190);\r\n\t\tReferenceData.getInstance().getDriveTrainData().setRightEncoderTicks(1190);\r\n\t\t\r\n\t\trunner.teleopPeriodic();\r\n\t\trunner.teleopPeriodic();\r\n\t\t//turnRight\r\n\t\tassertEquals(.5, ReferenceData.getInstance().getUserInputData().getJoystickLeft(), .0001);\r\n\t\tassertEquals(-.5, ReferenceData.getInstance().getUserInputData().getJoystickRight(), .0001);\r\n\t\tassertEquals(.5, ReferenceData.getInstance().getUserInputData().getJoystickX(), .0001);\r\n\t\tassertEquals(0, ReferenceData.getInstance().getUserInputData().getJoystickY(), .0001);\r\n\t\t\r\n\t\tReferenceData.getInstance().getDriveTrainData().setLeftEncoderTicks(1300);\r\n\t\tReferenceData.getInstance().getDriveTrainData().setRightEncoderTicks(1060);\r\n\t\t\r\n\t\trunner.teleopPeriodic();\r\n\t\trunner.teleopPeriodic();\r\n\t\t//goFoward2\r\n\t\tassertEquals(1, ReferenceData.getInstance().getUserInputData().getJoystickLeft(), .0001);\r\n\t\tassertEquals(1, ReferenceData.getInstance().getUserInputData().getJoystickRight(), .0001);\r\n\t\tassertEquals(0, ReferenceData.getInstance().getUserInputData().getJoystickX(), .0001);\r\n\t\tassertEquals(1, ReferenceData.getInstance().getUserInputData().getJoystickY(), .0001);\r\n\t\t\r\n\t\tReferenceData.getInstance().getDriveTrainData().setLeftEncoderTicks(1510);\r\n\t\tReferenceData.getInstance().getDriveTrainData().setRightEncoderTicks(1270);\r\n\t\t\r\n\t\trunner.teleopPeriodic();\r\n\t\trunner.teleopPeriodic();\r\n\t\t//turnLeft\r\n\t\tassertEquals(-.5, ReferenceData.getInstance().getUserInputData().getJoystickLeft(), .0001);\r\n\t\tassertEquals(.5, ReferenceData.getInstance().getUserInputData().getJoystickRight(), .0001);\r\n\t\tassertEquals(-.5, ReferenceData.getInstance().getUserInputData().getJoystickX(), .0001);\r\n\t\tassertEquals(0, ReferenceData.getInstance().getUserInputData().getJoystickY(), .0001);\r\n\t\t\r\n\t\tReferenceData.getInstance().getDriveTrainData().setLeftEncoderTicks(1400);\r\n\t\tReferenceData.getInstance().getDriveTrainData().setRightEncoderTicks(1400);\r\n\t\t\r\n\t\trunner.teleopPeriodic();\r\n\t\trunner.teleopPeriodic();\r\n\t\t//goBackwards\r\n\t\tassertEquals(-1, ReferenceData.getInstance().getUserInputData().getJoystickLeft(), .0001);\r\n\t\tassertEquals(-1, ReferenceData.getInstance().getUserInputData().getJoystickRight(), .0001);\r\n\t\tassertEquals(0, ReferenceData.getInstance().getUserInputData().getJoystickX(), .0001);\r\n\t\tassertEquals(-1, ReferenceData.getInstance().getUserInputData().getJoystickY(), .0001);\r\n\t\t\r\n\t\tReferenceData.getInstance().getDriveTrainData().setLeftEncoderTicks(130);\r\n\t\tReferenceData.getInstance().getDriveTrainData().setRightEncoderTicks(130);\r\n\t\t\r\n\t\trunner.teleopPeriodic();\r\n\t\trunner.teleopPeriodic();\r\n\t\t//hasFinished\r\n\t\tassertTrue(runner.getTask().hasFinished());\r\n\t\t\r\n\t\t\r\n\t\t//doReturn(mockLeftTalon).when(runnerSpy).getLeftTalon();\r\n\t\t//when(gamePad.getXRight()).thenReturn(val);\r\n\t}", "@Test\n public void canGetApprovalsWithAutoApproveTrue() {\n addApproval(marissa.getId(), \"c1\", \"uaa.user\", 6000, APPROVED);\n addApproval(marissa.getId(), \"c1\", \"uaa.admin\", 12000, DENIED);\n addApproval(marissa.getId(), \"c1\", \"openid\", 6000, APPROVED);\n\n assertEquals(3, endpoints.getApprovals(\"user_id eq \\\"\"+marissa.getId()+\"\\\"\", 1, 100).size());\n\n addApproval(marissa.getId(), \"c1\", \"read\", 12000, DENIED);\n addApproval(marissa.getId(), \"c1\", \"write\", 6000, APPROVED);\n\n assertEquals(3, endpoints.getApprovals(\"user_id eq \\\"\"+marissa.getId()+\"\\\"\", 1, 100).size());\n }", "public void test1_1Decay() throws Exception {\n getReverb(0);\n try {\n int time = mReverb.getDecayTime();\n time = (time == 500) ? 1000 : 500;\n mReverb.setDecayTime(time);\n int time2 = mReverb.getDecayTime();\n assertTrue(\"got incorrect decay time\",\n ((float)time2 > (float)(time / DELAY_TOLERANCE)) &&\n ((float)time2 < (float)(time DELAY_TOLERANCE)));\n short ratio = mReverb.getDecayHFRatio();\n ratio = (short)((ratio == 500) ? 1000 : 500);\n mReverb.setDecayHFRatio(ratio);\n short ratio2 = mReverb.getDecayHFRatio();\n assertTrue(\"got incorrect decay HF ratio\",\n ((float)ratio2 > (float)(ratio / RATIO_TOLERANCE)) &&\n ((float)ratio2 < (float)(ratio * RATIO_TOLERANCE)));\n\n } catch (IllegalArgumentException e) {\n fail(\"Bad parameter value\");\n } catch (UnsupportedOperationException e) {\n fail(\"get parameter() rejected\");\n } catch (IllegalStateException e) {\n fail(\"get parameter() called in wrong state\");\n } finally {\n releaseReverb();\n }\n }", "@Test\n public void testGerarAnaliseEstatisticas() {\n System.out.println(\"gerarAnaliseEstatisticas\");\n Empresa empresa = inicializarModeloTeste();\n GerarAnaliseEstatisticaRevisaoController instance = new GerarAnaliseEstatisticaRevisaoController(empresa);\n boolean expResult = true;\n boolean result = instance.gerarAnaliseEstatisticas();\n assertEquals(expResult, result);\n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixPlainText0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[2];\n stringArray0[0] = \")\";\n resultMatrixSignificance0.m_EnumerateRowNames = true;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n stringArray0[1] = \"5GOL?NR}\";\n resultMatrixPlainText0.setOptions(stringArray0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, stringArray0.length);\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"a\", string0);\n \n int[][] intArray0 = new int[3][8];\n int[] intArray1 = new int[3];\n intArray1[0] = 2;\n intArray1[1] = 1;\n intArray1[2] = 2;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[3];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 2;\n intArray2[1] = 1;\n intArray2[2] = 1;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[6];\n assertFalse(intArray3.equals((Object)intArray2));\n assertFalse(intArray3.equals((Object)intArray1));\n \n intArray3[0] = 1;\n intArray3[1] = 1;\n intArray3[2] = 1;\n intArray3[3] = 0;\n intArray3[4] = 2;\n intArray3[5] = 2;\n intArray0[2] = intArray3;\n resultMatrixSignificance0.m_Significance = intArray0;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n boolean boolean0 = resultMatrixPlainText0.isSignificance((-2));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int int0 = resultMatrixPlainText0.getDefaultRowNameWidth();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(25, int0);\n \n resultMatrixPlainText0.setMean(2, 25, 0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string1 = resultMatrixSignificance0.toStringSummary();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n }", "public void matarAPacman() {\n // TODO implement here\n }", "@LargeTest\n public void testFisheyeApproximateRelaxed() {\n TestAction ta = new TestAction(TestName.FISHEYE_APPROXIMATE_RELAXED);\n runTest(ta, TestName.FISHEYE_APPROXIMATE_RELAXED.name());\n }", "@Test\r\n\t\tpublic void testMovimientoTorreBlanca0a() {\r\n\t\t \r\n\t\t\tDatosPrueba prueba = new DatosPrueba(torreBlanca0a,\r\n\t\t\t\t\t\"Error al comprobar los movimientos de la torre blanca en el inicio de una aprtida en la posición 1h. \");\r\n\t\t\tboolean res = this.testMovimientos(prueba); \r\n\t\t\tassertTrue(prueba.getMensaje(), res);\r\n\t\t \r\n\t\t}", "@Test(timeout = 4000)\n public void test049() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.areaUnderROC((-1));\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test()\n public void testGetForecastPerYear() {\n\tYear year = Year.of(2016);\n\tdouble forecast = expenseManager.getForecastPerYear(year);\n\tassertEquals(11030.25, forecast, 0.01);\n }", "@Test\n public void testPrediction1() throws Exception {\n\n final CalUtils.InstantGenerator instantGenerator =\n new LocalTimeMinutes(5);\n \n final double coreDailyVols[][] = new double[][] {\n new double[] {55219 , 262256 , 202661 , 218359 , 178244 , 99610 , 92348 , 124795 , 214370 , 153854 , 204116 , 173501 , 85390 , 156835 , 108070 , 23755 , 118573 , 70117 , 55768 , 52643 , 71485 , 407645 , 442909 , 129109 , 188896 , 79590 , 422121 , 290067 , 227955 , 69257 , 41634 , 446002 , 579188 , 86237 , 1606794 , 83676 , 166393 , 84987 , 875905 , 117013 , 399084 , 116190 , 149507 , 207221 , 60857 , 155612 , 448006 , 198637 , 67695 , 65423 , 180038 , 88774 , 80273 , 86065 , 85231 , 38867 , 29330 , 116353 , 26887 , 34170 , 102518 , 72246 , 21274 , 70752 , 37912 , 49367 , 100472 , 49461 , 41735 , 45795 , 36578 , 311945 , 249039 , 70487 , 121906 , 136424 , 195136 , 166308 , 331734 , 343180 , 419616 , 104613 , 1354058 , 162678 , 141067 , 147039 , 149115 , 271162 , 543989 , 184421 , 340679 , 201939 , 293860 , 171035 , 263964 , 260198 , 428087 , 565126 , 385874 , 547890 , 384416 , 256696 , 0 , 4738359},\n new double[] {1298630 , 678084 , 488607 , 224766 , 434263 , 356933 , 576571 , 219236 , 252805 , 414776 , 166828 , 174665 , 146281 , 110944 , 145234 , 179739 , 253111 , 175685 , 64925 , 216682 , 494507 , 100205 , 67371 , 101019 , 158026 , 316281 , 334067 , 954850 , 115547 , 163051 , 130303 , 107600 , 1407996 , 90357 , 110452 , 451866 , 238004 , 3096215 , 2672803 , 190170 , 111282 , 107135 , 453389 , 60821 , 98292 , 1310864 , 1132267 , 241907 , 89915 , 175676 , 61621 , 521553 , 212388 , 288651 , 193578 , 272161 , 256777 , 236382 , 802159 , 230248 , 387068 , 160647 , 106999 , 391933 , 465080 , 374577 , 340378 , 330708 , 416320 , 200347 , 251986 , 336664 , 311970 , 600559 , 508011 , 922379 , 311581 , 352459 , 508727 , 159316 , 1355635 , 246541 , 389672 , 805957 , 370754 , 382556 , 316971 , 564228 , 437166 , 277733 , 1284505 , 1763095 , 169661 , 280682 , 969102 , 540315 , 451895 , 308036 , 715130 , 642966 , 981563 , 900778 , 0 , 7155528},\n new double[] {679280 , 229518 , 346536 , 347215 , 316025 , 313890 , 235844 , 199995 , 1920617 , 129356 , 172084 , 207860 , 317578 , 10369008 , 480990 , 1403537 , 1021730 , 156125 , 94833 , 366987 , 145687 , 322957 , 328120 , 66657 , 176001 , 271003 , 133121 , 558624 , 264638 , 638663 , 165080 , 129439 , 5126344 , 5438632 , 248806 , 250616 , 112716 , 54523 , 198097 , 67772 , 1414565 , 244509 , 246205 , 151540 , 98584 , 51217 , 94193 , 111763 , 104726 , 45880 , 64242 , 78893 , 60706 , 48117 , 133085 , 101941 , 5103803 , 5084823 , 168230 , 75537 , 815036 , 73409 , 422412 , 437127 , 115802 , 326536 , 54707 , 81759 , 94420 , 208637 , 50361 , 1458556 , 84257 , 129114 , 54632 , 105873 , 57165 , 77578 , 233302 , 195560 , 134194 , 180928 , 140433 , 123154 , 221422 , 339866 , 1343886 , 114699 , 170052 , 150679 , 181731 , 160943 , 192590 , 125556 , 132656 , 154740 , 320932 , 140929 , 117889 , 381656 , 393635 , 306177 , 0 , 21629250},\n new double[] {526909 , 167180 , 199570 , 149154 , 142141 , 320881 , 223750 , 102275 , 258400 , 202197 , 120202 , 93404 , 178631 , 106401 , 346186 , 231729 , 163656 , 1622531 , 125689 , 2656587 , 5336032 , 2385985 , 335692 , 86118 , 130551 , 99047 , 81695 , 98846 , 238413 , 4831684 , 293262 , 124652 , 106642 , 112048 , 14284646 , 111209 , 2204635 , 128940 , 83395 , 134816 , 116320 , 65412 , 165020 , 126511 , 92217 , 111751 , 47320 , 82219 , 19044177 , 70827 , 21676 , 211214 , 103108 , 22771 , 61629 , 4816563 , 63806 , 33989 , 130104 , 146897 , 15046441 , 44977 , 40889 , 54584 , 54591 , 76634 , 238536 , 68583 , 110591 , 75012 , 503760 , 209479 , 217929 , 86397 , 102284 , 81878 , 252785 , 135884 , 129149 , 112760 , 266851 , 110863 , 67866 , 55205 , 150165 , 699438 , 184450 , 270270 , 4270036 , 345303 , 895116 , 217142 , 145398 , 301231 , 10260595 , 136317 , 442910 , 371357 , 189023 , 538928 , 438973 , 926728 , 9137 , 8879481},\n new double[] {1318228 , 1391326 , 574558 , 441739 , 719144 , 522626 , 404351 , 383602 , 490710 , 284952 , 2984474 , 216339 , 10220195 , 247067 , 166223 , 224310 , 10181837 , 126161 , 9764418 , 692337 , 25907353 , 1518741 , 1179929 , 120730 , 10173292 , 290045 , 19824327 , 402527 , 277859 , 3116841 , 7164061 , 332021 , 10560006 , 2334129 , 121753 , 200177 , 246402 , 10106648 , 1137272 , 2084673 , 461849 , 125108 , 465907 , 156972 , 139083 , 127389 , 237263 , 311691 , 156536 , 155322 , 133368 , 329715 , 256088 , 116835 , 5192615 , 823762 , 183836 , 1110239 , 2414836 , 385072 , 599637 , 387285 , 291580 , 2796924 , 12977051 , 338582 , 884415 , 525622 , 322587 , 223348 , 668858 , 143039 , 627590 , 239797 , 232788 , 256503 , 209425 , 375474 , 558106 , 290991 , 1176648 , 286550 , 149539 , 297435 , 602136 , 152733 , 212363 , 178992 , 179644 , 295428 , 933636 , 349405 , 660749 , 226061 , 868852 , 318539 , 469303 , 538061 , 273643 , 444084 , 347730 , 825808 , 12011 , 7792372}};\n\n final SimpleDateFormat dateBuilder = new SimpleDateFormat(\"yyyy-MM-dd\");\n final Calendar moments[] = new Calendar[] { Calendar.getInstance(), \n Calendar.getInstance(), Calendar.getInstance(), \n Calendar.getInstance(), Calendar.getInstance(),\n Calendar.getInstance() };\n\n moments[0].setTime(dateBuilder.parse(\"2011-10-26\"));\n moments[1].setTime(dateBuilder.parse(\"2011-10-27\"));\n moments[2].setTime(dateBuilder.parse(\"2011-10-28\"));\n moments[3].setTime(dateBuilder.parse(\"2011-10-30\"));\n moments[4].setTime(dateBuilder.parse(\"2011-11-01\"));\n moments[5].setTime(dateBuilder.parse(\"2011-11-02\"));\n\n // Nomralize data to sum 100 (i.e., have an expectance of 100/104)\n for(int i=0; i<5; i++) {\n double sum = 0;\n for(int j=0; j<104; j++) sum += coreDailyVols[i][j];\n for(int j=0; j<104; j++) {\n coreDailyVols[i][j] = coreDailyVols[i][j]100 / sum;\n }\n }\n\n final double[][] synthesizedDailyVols = new double[\n coreDailyVols.length][instantGenerator.maxInstantValue()];\n final Calendar openTime = Calendar.getInstance();\n final int n = 960 / 5;\n final int m = n + coreDailyVols[0].length;\n for(int i=0; i<5; i++) {\n for(int j=0; j<n; j++) {\n synthesizedDailyVols[i][j] = Double.NaN;\n }\n for(int j=0; j<coreDailyVols[i].length; j++) {\n synthesizedDailyVols[i][j+n] = coreDailyVols[i][j];\n }\n for(int j=m; j<instantGenerator.maxInstantValue(); j++) {\n synthesizedDailyVols[i][j] = Double.NaN;\n }\n }\n\n\n final Predictor predictor = new PCAPredictorTransposed(\n instantGenerator, 5);\n for(int i=0; i<5; i++) {\n predictor.learnVector(moments[i], synthesizedDailyVols[i]);\n }\n final double prediction[] = predictor.predictVector(moments[5]);\n final double coreExpectedPrediction[] = new double[] {\n0.21383323, -0.08665493, -0.28527934, -0.45293966, -0.35525111, -0.49117788,\n-0.38114565, -0.60141152, -0.09029406, -0.44815719, -0.45152723, -0.58079146,\n-0.29110153, 1.54262599, -0.59900211, -0.48107804, -0.03280398, -0.59369964,\n-0.44886852, -0.43868587, 0.88745208, -0.10900099, -0.26251035, -0.71557572,\n-0.20051598, -0.57674404, 0.53793693, 0.15857465, -0.53212067, -0.13529962,\n-0.49171709, -0.32334222, 2.16101856, 0.46824882, 2.13337330, -0.48802957,\n-0.40084079, 1.62077396, 1.93080019, -0.59114756, -0.09429057, -0.68952951,\n-0.39819841, -0.63019599, -0.78762027, 0.12458423, 0.34847712, -0.52481068,\n0.69730449, -0.74290105, -0.68866588, -0.45964670, -0.69174165, -0.64825389,\n-0.49908622, -0.30049621, 0.35726449, 0.47210113, -0.25058065, -0.72112704,\n0.79345044, -0.73245678, -0.75581875, -0.40885896, -0.08033429, -0.56030291,\n-0.54967743, -0.63571829, -0.58889882, -0.71099478, -0.67055922, -0.03850658,\n-0.40339282, -0.43003588, -0.44813762, -0.14347007, -0.48441216, -0.48851502,\n-0.15427010, -0.39484463, 0.52701151, -0.61335693, 0.89776479, -0.18821502,\n-0.46457371, -0.39850394, -0.26234640, -0.21535441, 0.33669589, -0.48879971,\n0.43892192, 0.52101182, -0.42851659, -0.51364225, 0.85831207, -0.24052028,\n-0.04192086, -0.02287821, 0.01522206, 0.24307671, 0.27369478, 0.11058009,\n-0.95575786, 14.90733910 };\n final double synthesizedExpectedPrediction[] = new double[\n instantGenerator.maxInstantValue()];\n for(int j=0; j<n; j++) {\n synthesizedExpectedPrediction[j] = Double.NaN;\n }\n for(int j=0; j<coreExpectedPrediction.length; j++) {\n synthesizedExpectedPrediction[j+n] = coreExpectedPrediction[j];\n }\n for(int j=m; j<instantGenerator.maxInstantValue(); j++) {\n synthesizedExpectedPrediction[j] = Double.NaN;\n }\n\n assertEquals(prediction.length, synthesizedExpectedPrediction.length);\n\n for(int i=0; i<prediction.length; i++) {\n assertEquals(prediction[i], synthesizedExpectedPrediction[i], \n 0.0001d);\n }\n System.out.println(\"Ok\");\n }", "@Test\n public void testBackwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.backwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test()\n public void testGetForecastPerMonthNull() {\n\tYearMonth yearMonth = YearMonth.of(2015, 12);\n\tdouble forecast = expenseManager.getForecastPerMonth(yearMonth);\n\tassertEquals(0, forecast, 0);\n }", "@Test\n public void proximaSequencia(){\n\n }", "@Test\r\n public void testAppartentMagnitude() {\r\n System.out.println(\"appartentMagnitude\");\r\n \r\n // Test case one.\r\n System.out.println(\"Test case #1\"); \r\n \r\n double magnitude = 12;\r\n double distance = 200;\r\n \r\n SceneControl instance = new SceneControl();\r\n \r\n double expResult = 0.0003;\r\n double result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case two.\r\n System.out.println(\"Test case #2\"); \r\n \r\n magnitude = 13;\r\n distance = -50;\r\n \r\n expResult = -999999;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case three.\r\n System.out.println(\"Test case #3\"); \r\n \r\n magnitude = 56;\r\n distance = 20;\r\n \r\n expResult = -999999;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, -999999);\r\n \r\n // Test case four.\r\n System.out.println(\"Test case #4\"); \r\n \r\n magnitude = 56;\r\n distance = 20;\r\n \r\n expResult = -999999;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case five.\r\n System.out.println(\"Test case #5\"); \r\n \r\n magnitude = 14;\r\n distance = 0;\r\n \r\n expResult = -999999;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case six.\r\n System.out.println(\"Test case #6\"); \r\n \r\n magnitude = -50;\r\n distance = 12;\r\n \r\n expResult = -0.3472;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case seven.\r\n System.out.println(\"Test case #7\"); \r\n \r\n magnitude = 50;\r\n distance = 20;\r\n \r\n expResult = 0.125;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n // Test case eight.\r\n System.out.println(\"Test case #8\"); \r\n \r\n magnitude = 13;\r\n distance = 1;\r\n \r\n expResult = 13;\r\n result = instance.appartentMagnitude(magnitude, distance);\r\n assertEquals(expResult, result, 0.0001);\r\n \r\n }", "@Test(timeout = 4000)\n public void test085() throws Throwable {\n int[] intArray0 = new int[2];\n intArray0[0] = 0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(166, 0);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(166, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(166, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int int0 = ResultMatrix.SIGNIFICANCE_LOSS;\n assertEquals(2, int0);\n \n int int1 = resultMatrixSignificance0.getDefaultRowNameWidth();\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(166, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(166, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(40, int1);\n assertFalse(int1 == int0);\n }", "@Test\n public void testCalcProbTheta() throws Exception {\n\n double guessProb1 = ItemResponseTheory.calcProbTheta(c, lambda, theta1, alpha1);\n double guessProb2 = ItemResponseTheory.calcProbTheta(c, lambda, theta2, alpha1);\n double guessProb3 = ItemResponseTheory.calcProbTheta(c, lambda, theta3, alpha1);\n double guessProb4 = ItemResponseTheory.calcProbTheta(c, lambda, theta4, alpha1);\n double guessProb5 = ItemResponseTheory.calcProbTheta(c, lambda, theta5, alpha1);\n double guessProb6 = ItemResponseTheory.calcProbTheta(c, lambda, theta6, alpha1);\n double guessProb7 = ItemResponseTheory.calcProbTheta(c, lambda, theta7, alpha1);\n\n double ans1 = 0.2;\n double ans2 = 0.21;\n double ans3 = 0.23;\n double ans4 = 0.3;\n double ans5 = 0.47;\n double ans6 = 0.73;\n double ans7 = 0.9;\n\n double tolerance = 0.005;\n\n assertTrue(\"Prob(theta1)\", Math.abs(guessProb1 - ans1)< tolerance);\n assertTrue(\"Prob(theta2)\", Math.abs(guessProb2 - ans2) < tolerance);\n assertTrue(\"Prob(theta3)\", Math.abs(guessProb3 - ans3) < tolerance);\n assertTrue(\"Prob(theta4)\", Math.abs(guessProb4 - ans4) < tolerance);\n assertTrue(\"Prob(theta5)\", Math.abs(guessProb5 - ans5) < tolerance);\n assertTrue(\"Prob(theta6)\", Math.abs(guessProb6 - ans6) < tolerance);\n assertTrue(\"Prob(theta7)\", Math.abs(guessProb7 - ans7) < tolerance);\n\n }", "@Test\n public void testCalculerMontantService() {\n double expResult = 0.0;\n double result = CalculAgricole.calculerMontantServices();\n assertEquals(\"Montant pour las droits du passage n'était pas correct.\", expResult, result, 0);\n }", "@Test(timeout = 4000)\n public void test046() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(16, 8);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[5];\n intArray0[0] = 16;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 16;\n intArray0[4] = 1;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {16, 2, 0, 16, 1}, intArray0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(5, intArray0.length);\n \n resultMatrixSignificance0.setColNameWidth(3);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setSignificanceWidth(16);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.setPrintRowNames(false);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.setStdDevPrec(0);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.m_RowOrder = intArray0;\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n \n resultMatrixGnuPlot0.setPrintColNames(true);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.clearSummary();\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixSignificance0.m_ColNameWidth = 8;\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(8, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n \n resultMatrixGnuPlot0.LEFT_PARENTHESES = \"weka/core/version.txt\";\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.toStringMatrix();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "@Override\n\tpublic void testInit() {\n\t\tif (autonomousCommand != null)\n ((Command) autonomousCommand).cancel();\n \n\t\tprocessRobotModeChange(RobotMode.TEST);\n\t}", "@ParameterizedTest\n @ArgumentsSource(TestForestProvider.class)\n public void testMultipleAttributions(RandomCutForest forest) {\n int hardPass=0;\n int causal=0;\n double [] point ={6.0,0.0,0.0};\n DiVector result = forest.getAnomalyAttribution(point);\n assertTrue(result.low[0] < 0.2);\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.getHighLowSum(1) + result.getHighLowSum(2) < 1.0);\n assertTrue(result.high[0] > forest.getAnomalyScore(point)/3);\n if (result.high[0] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n // the last line states that first coordinate was high and was a majority contributor to the score\n // the previous test states that the contribution is twice the average of the 12 possible contributors.\n // these tests all subparts of the score at once\n\n point=new double [] {-6.0,0.0,0.0};\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.getHighLowSum()>1.0);\n assertTrue(result.high[0] < 0.5);\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.low[0] > forest.getAnomalyScore(point)/3);\n if (result.low[0] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n point=new double [] {0.0,6.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.low[1] < 0.5);\n assertTrue(result.high[1] > forest.getAnomalyScore(point)/3);\n if (result.high[1] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n point=new double [] {0.0,-6.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.high[1] < 0.5);\n assertTrue(result.low[1] > forest.getAnomalyScore(point)/3);\n if (result.low[1] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n point=new double [] {0.0,0.0,6.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n assertTrue(result.low[2] < 0.5);\n assertTrue(result.high[2] > forest.getAnomalyScore(point)/3);\n if (result.high[2] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n point=new double [] {0.0,0.0,-6.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n assertTrue(result.high[2] < 0.5);\n assertTrue(result.low[2] > forest.getAnomalyScore(point)/3);\n if (result.low[2] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n assertTrue(causal>=5); // maximum is 6; there can be skew in one direction\n\n point=new double [] {-3.0,0.0,0.0};\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.high[0] < 0.5);\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.low[0] >\n forest.getAnomalyScore(point)/3);\n\n /* For multiple causes, the relationship of scores only hold for larger\n * distances.\n /\n\n point=new double [] {-3.0,6.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.low[0] > 0.5) ++hardPass;\n assertTrue(result.high[0] < 0.5);\n assertTrue(result.low[1] < 0.5);\n assertTrue(result.high[1] > 0.5);\n if (result.high[1]>0.9) ++hardPass;\n assertTrue(result.getHighLowSum(2)< 0.5);\n assertTrue(result.high[1]+result.low[0]>\n 0.8forest.getAnomalyScore(point));\n\n point=new double [] {6.0,-3.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.low[0] < 0.5);\n assertTrue(result.high[0] > 0.5);\n if (result.high[0]>0.9) ++hardPass;\n if (result.low[1] > 0.5) ++hardPass;\n assertTrue(result.high[1] < 0.5);\n assertTrue(result.getHighLowSum(2) < 0.5);\n assertTrue(result.high[0]+result.low[1]>\n 0.8forest.getAnomalyScore(point));\n\n point=new double [] {20.0,-10.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.high[0]+result.low[1]>\n 0.8forest.getAnomalyScore(point));\n if (result.high[0]>1.8result.low[1]) ++hardPass;\n if (result.low[1]>result.high[0]/2.2) ++hardPass;\n\n assertTrue(hardPass>=15); //maximum is 20\n }", "public TalonControllerGroup finishCalibration() {\n\t\tTalonSettings frontLeftSettings = TalonSettingsBuilder.copy(leftTalonSettings);\n\t\tTalonSettings frontRightSettings = TalonSettingsBuilder.copy(rightTalonSettings);\n\t\tTalonSettings rearLeftSettings = TalonSettingsBuilder.copy(leftTalonSettings);\n\t\tTalonSettings rearRightSettings = TalonSettingsBuilder.copy(rightTalonSettings);\n\n\t\tEncoderCheck checker = tester.finishTest();\n\t\tlog.log(\"Calibration Finished\", true);\n\t\tlog.log(\"LeftFrontMotorGood\",checker.isLeftFrontOk());\n\t\tlog.log(\"LeftRearMotorGood\",checker.isLeftRearOk());\n\t\tlog.log(\"RightFrontMotorGood\",checker.isRightFrontOk());\n\t\tlog.log(\"RightRearMotorGood\",checker.isRightRearOk());\n\t\t\n\t\tif ( checker.shouldDisableAll()) {\n\t\t\tfrontLeftSettings = TalonSettingsBuilder.disabledCopy(rearLeftSettings);\n\t\t\tfrontRightSettings = TalonSettingsBuilder.disabledCopy(rearLeftSettings);\n\t\t\trearLeftSettings = TalonSettingsBuilder.disabledCopy(rearLeftSettings);\n\t\t\trearRightSettings = TalonSettingsBuilder.disabledCopy(rearLeftSettings);\t\t\t\n\t\t}\n\t\telse {\n\t\t\tif ( checker.shouldLeftFrontFollowLeftRear()) {\n\t\t\t\tfrontLeftSettings = TalonSettingsBuilder.follow(rearLeftSettings,\n\t\t\t\t\t\tRobotMap.CAN.FRONT_RIGHT_MOTOR);\t\t\t\n\t\t\t}\n\t\t\tif ( checker.shouldLeftRearFollowLeftFront()) {\n\t\t\t\trearLeftSettings = TalonSettingsBuilder.follow(frontLeftSettings,\n\t\t\t\t\t\tRobotMap.CAN.FRONT_LEFT_MOTOR);\t\t\t\n\t\t\t}\n\t\t\tif ( checker.shouldRightFrontFollowRightRear()) {\n\t\t\t\tfrontRightSettings = TalonSettingsBuilder.follow(rearRightSettings,\n\t\t\t\t\t\tRobotMap.CAN.FRONT_RIGHT_MOTOR);\t\t\t\n\t\t\t}\n\t\t\tif ( checker.shouldRightRearFollowRightFront()) {\n\t\t\t\trearRightSettings = TalonSettingsBuilder.follow(frontRightSettings,\n\t\t\t\t\t\tRobotMap.CAN.FRONT_RIGHT_MOTOR);\t\t\t\n\t\t\t}\t\t\t\n\t\t}\n\t\tthis.calibrated = true;\n\t\treturn new TalonControllerGroup(\t\t\t\t\n\t\t\t\tnew TalonPositionController(frontLeftMotor, frontLeftSettings),\n\t\t\t\tnew TalonPositionController(frontRightMotor, rearLeftSettings),\n\t\t\t\tnew TalonPositionController(rearLeftMotor, frontRightSettings), \n\t\t\t\tnew TalonPositionController(rearRightMotor, rearRightSettings));\t\t\n\t\t\n\t}", "@Test\n public void testAnchoOruedas() {\n System.out.println(\"anchoOruedas\");\n Camiones instance = new Camiones(\"C088IJ\", true, 10);\n double expResult = 0.0;\n double result = instance.anchoOruedas();\n \n // TODO review the generated test code and remove the default call to fail.\n \n }", "@Test\n public void testGetImportanceStats() {\n System.out.println(\"getImportanceStats\");\n MDA instance = new MDA();\n\n // make the circles close to force tree to do lots of splits / make it harder\n ClassificationDataSet train = getHarderC(10000, RandomUtil.getRandom());\n int good_featres = 2;\n\n DecisionTree tree = new DecisionTree();\n tree.setPruningMethod(TreePruner.PruningMethod.NONE);\n tree.train(train);\n\n double[] importances = instance.getImportanceStats(tree, train);\n\n // make sure the first 2 features were infered as more important than the\n // others!\n for (int i = good_featres; i < importances.length; i++) {\n for (int j = 0; j < good_featres; j++)\n assertTrue(importances[j] > importances[i]);\n }\n\n // categorical features, make space wider b/c we lose resolution\n train = getHarderC(10000, RandomUtil.getRandom());\n\n train.applyTransform(new NumericalToHistogram(train, 7));\n tree = new DecisionTree();\n tree.setPruningMethod(TreePruner.PruningMethod.NONE);\n tree.train(train);\n\n importances = instance.getImportanceStats(tree, train);\n\n // make sure the first 2 features were infered as more important than the\n // others!\n for (int i = good_featres; i < importances.length; i++) {\n for (int j = 0; j < good_featres; j++)\n assertTrue(importances[j] > importances[i]);\n }\n\n }", "@Test\n public void testGetSetTemperaturaExteriorMaxima() {\n System.out.println(\"getSetTemperaturaExteriorMaxima\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMaxima(expResult);\n double result = instance.getTemperaturaExteriorMaxima();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void testHasTemperaturaVariation() {\n System.out.println(\"hasTemperaturaVariation\");\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n boolean expResult = true;\n instance.setHasTemperaturaVariation(expResult);\n boolean result = instance.hasTemperaturaVariation();\n assertEquals(expResult, result);\n }", "@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n public void agreementTest() {\n // TODO: test agreement\n }", "@Test\n public void testPearson() {\n System.out.println(\"pearson\");\n double[] x = {44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1};\n double[] y = {2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8};\n\n CorTest result = CorTest.pearson(x, y);\n assertEquals(0.5711816, result.cor, 1E-7);\n assertEquals(7, result.df, 1E-10);\n assertEquals(1.8411, result.t, 1E-4);\n assertEquals(0.1082, result.pvalue, 1E-4);\n }", "@Test(timeout = 4000)\n public void test082() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toCumulativeMarginDistributionString();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(\" -1 0 \\n\", string0);\n }", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test04() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n NaiveBayesMultinomialText naiveBayesMultinomialText1 = (NaiveBayesMultinomialText)AbstractClassifier.makeCopy(naiveBayesMultinomialText0);\n naiveBayesMultinomialText1.m_wordFrequencies = true;\n boolean boolean0 = naiveBayesMultinomialText1.getUseWordFrequencies();\n assertTrue(naiveBayesMultinomialText1.getUseWordFrequencies());\n assertTrue(boolean0);\n }", "@Override\n public void calculateCorrection(Time currentTime, Coordinates approximatedPose, SatellitePosition satelliteCoordinates, NavigationIono navigationIono) {\n approximatedPose.computeGeodetic();\n\n // Get the user's height\n double height = approximatedPose.getGeodeticHeight();\n\n // Compute the elevation and azimuth angles for each satellite\n TopocentricCoordinates topo = new TopocentricCoordinates();\n topo.computeTopocentric(approximatedPose, satelliteCoordinates);\n\n // Assign the elevation information to a new variable\n double elevation = topo.getElevation();\n\n double tropoCorr = 0;\n\n if (height > 5000)\n return;\n\n elevation = Math.toRadians(Math.abs(elevation));\n if (elevation == 0){\n elevation = elevation + 0.01;\n }\n\n // Numerical constants and tables for Saastamoinen algorithm\n // (troposphere correction)\n final double hr = 50.0;\n final int[] ha = {0, 500, 1000, 1500, 2000, 2500, 3000, 4000, 5000 };\n final double[] ba = { 1.156, 1.079, 1.006, 0.938, 0.874, 0.813, 0.757, 0.654, 0.563 };\n\n // Saastamoinen algorithm\n double P = Constants.STANDARD_PRESSURE Math.pow((1 - 0.0000226 * height), 5.225);\n double T = Constants.STANDARD_TEMPERATURE - 0.0065 * height;\n double H = hr * Math.exp(-0.0006396 * height);\n\n // If height is below zero, keep the maximum correction value\n double B = ba[0];\n // Otherwise, interpolate the tables\n if (height >= 0) {\n int i = 1;\n while (height > ha[i]) {\n i++;\n }\n double m = (ba[i] - ba[i - 1]) / (ha[i] - ha[i - 1]);\n B = ba[i - 1] + m * (height - ha[i - 1]);\n }\n\n double e = 0.01\n * H\n * Math.exp(-37.2465 + 0.213166 * T - 0.000256908\n * Math.pow(T, 2));\n\n tropoCorr = ((0.002277 / Math.sin(elevation))\n * (P - (B / Math.pow(Math.tan(elevation), 2))) + (0.002277 / Math.sin(elevation))\n * (1255 / T + 0.05) * e);\n\n correctionValue = tropoCorr;\n\n }", "@Test\n public void testGetElmtlReactions_0args() {\n System.out.println(\"getElmtlReactions of order 0\");\n int[] expElmtlRkToCheck_id = new int[]{14};\n double[] expElmtlRkToCheck_p = new double[]{1.6999998553313134E-7};\n int expNCounts = 1;\n\n Iterator<IElementalReactionToCheck> resultIter = elementalReactionManager.getElmtlReactions();\n int counter = 0;\n while (resultIter.hasNext()) {\n\n IElementalReactionToCheck elmtlRkToCheck = resultIter.next();\n System.out.println(\"elmtlRkToCheck_id: \" + elmtlRkToCheck.get_elmtlRkId() + \" p: \" + elmtlRkToCheck.get_p());\n assertEquals(expElmtlRkToCheck_id[counter], elmtlRkToCheck.get_elmtlRkId());\n assertEquals(expElmtlRkToCheck_p[counter], elmtlRkToCheck.get_p(), 0.0001);\n counter++;\n }\n assertEquals(expNCounts, counter);\n\n }", "public void testStableRotations() {\n\n // Get a random point (x, y, z) and axis through (a, b, c).\n double x = getRandom();\n double y = getRandom();\n double z = getRandom();\n a = getRandom();\n b = getRandom();\n c = getRandom();\n u = getRandom();\n v = getRandom();\n w = getRandom();\n\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n double distAxis = rM.distanceFromAxis(x, y, z);\n double distPt2 = (a-x)(a-x) + (b-y)(b-y) + (c-z)(c-z);\n\n double[] result = null;\n double resultDistAxis;\n double resultDistPt2;\n for(int i=0; i<200; i++) {\n theta = getRandom()pi;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(x, y, z);\n resultDistAxis\n = rM.distanceFromAxis(result[0], result[1], result[2]);\n // Rotations shouldn't change the distance from the axis.\n assertEquals(distAxis, resultDistAxis, TOLERANCE);\n\n // Rotations shouldn't change the distance from a fixed\n // point (a, b, c) on the axis.\n resultDistPt2 = (a-result[0])(a-result[0])\n + (b-result[1])(b-result[1]) + (c-result[2])(c-result[2]);\n assertEquals(distPt2, resultDistPt2, TOLERANCE);\n }\n }", "@Test\n public void testGetSetTemperaturaExterior() {\n System.out.println(\"getSetTemperaturaExterior\");\n double expResult = 20.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExterior(expResult);\n double result = instance.getTemperaturaExterior();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void testGetSetTemperaturaExteriorMinima() {\n System.out.println(\"getSetTemperaturaExteriorMinima\");\n double expResult = 10.0;\n Simulacao simulacao = new Simulacao();\n simulacao.setSala(sala);\n AlterarTemperaturasMeioController instance = new AlterarTemperaturasMeioController(simulacao);\n instance.setTemperaturaExteriorMinima(expResult);\n double result = instance.getTemperaturaExteriorMinima();\n assertEquals(expResult, result, 0.0);\n }", "@Test(timeout = 4000)\n public void test03() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\n \n naiveBayesMultinomialText0.m_norm = 715.85816;\n MultiClassClassifierUpdateable multiClassClassifierUpdateable0 = new MultiClassClassifierUpdateable();\n Capabilities capabilities0 = multiClassClassifierUpdateable0.getCapabilities();\n TestInstances testInstances0 = TestInstances.forCapabilities(capabilities0);\n Instances instances0 = testInstances0.generate();\n naiveBayesMultinomialText0.buildClassifier(instances0);\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\n }", "@Test\n public void testNotificarOrganizadoresEventos() {\n System.out.println(\"notificarOrganizadoresEventos\");\n int indice = 0;\n Empresa empresa = inicializarModeloTeste();\n GerarAnaliseEstatisticaRevisaoController instance = new GerarAnaliseEstatisticaRevisaoController(empresa);\n boolean expResult = true;\n instance.gerarAnaliseEstatisticas();\n boolean result = instance.notificarOrganizadoresEventos(indice);\n assertEquals(expResult, result);\n }", "@Test(timeout = 4000)\n public void test008() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.meanAbsoluteError();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n }", "@Test\n\tpublic void kaempfeTest() {\n\t\t\n\t\tSc1.kaempfe(Su3);\n\t\tassertEquals(true, Sc1.getIstBesiegt());\n\t\tassertEquals(false, Su3.getIstBesiegt());\n\n\t\tSu1.kaempfe(Sc2);\n\t\tassertEquals(false, Sc2.getIstBesiegt());\n\t\tassertEquals(true, Su1.getIstBesiegt());\n\t}", "@Test\r\n public void testGetAtoms() {\r\n List<CMLAtom> atoms = spectator.getAtoms();\r\n Assert.assertEquals(\"atoms\", 2, atoms.size());\r\n\r\n }", "public void testRotationMatrix() {\n\n u = 1;\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n // This should be the identity matrix\n double[][] m = rM.getMatrix();\n for(int i=0; i<m.length; i++) {\n for(int j=0; j<m.length; j++) {\n if(j==i) {\n assertEquals(m[i][j], 1, TOLERANCE);\n } else {\n assertEquals(m[i][j], 0, TOLERANCE);\n }\n }\n }\n }", "@Test\r\n\tpublic void executeReinforcement() {\r\n\r\n\t\tInteger reinforcementArmy = playerOne.getStrategyType().calculateReinforcementArmy();\r\n\r\n\t\tHashSet<String> countriesOwned = playerOne.getStrategyType().gameData.gameMap\r\n\t\t\t\t.getConqueredCountries(playerOne.getStrategyType().getPlayerID());\r\n\r\n\t\tArrayList<String> countriesOwnedList = new ArrayList<>(countriesOwned);\r\n\r\n\t\tHashMap<String, Integer> expectedArmyCountPerCountryAfterReinforcement = new HashMap<>();\r\n\r\n\t\tfor (String country : countriesOwnedList) {\r\n\t\t\texpectedArmyCountPerCountryAfterReinforcement.put(country,\r\n\t\t\t\t\tplayerOne.getStrategyType().gameData.gameMap.getCountry(country).getCountryArmyCount());\r\n\t\t}\r\n\r\n\t\twhile (reinforcementArmy > 0) {\r\n\r\n\t\t\tInteger randomReinforcementCount = 0;\r\n\t\t\tInteger randomCountryIndex = random.nextInt(countriesOwnedList.size());\r\n\r\n\t\t\tString randomCountry = countriesOwnedList.get(randomCountryIndex);\r\n\r\n\t\t\twhile (randomReinforcementCount == 0) {\r\n\t\t\t\trandomReinforcementCount = random.nextInt(reinforcementArmy + 1);\r\n\t\t\t}\r\n\r\n\t\t\tInteger randomCountryArmyCountBeforeFortification = expectedArmyCountPerCountryAfterReinforcement\r\n\t\t\t\t\t.get(randomCountry);\r\n\r\n\t\t\tInteger randomCountryArmyCountAfterFortification = randomCountryArmyCountBeforeFortification\r\n\t\t\t\t\t+ randomReinforcementCount;\r\n\r\n\t\t\texpectedArmyCountPerCountryAfterReinforcement.put(randomCountry, randomCountryArmyCountAfterFortification);\r\n\r\n\t\t\treinforcementArmy -= randomReinforcementCount;\r\n\r\n\t\t}\r\n\r\n\t\tplayerOne.getStrategyType().executeReinforcement();\r\n\r\n\t\tHashMap<String, Integer> actualArmyCountPerCountryAfterReinforcement = new HashMap<>();\r\n\r\n\t\tfor (String country : countriesOwnedList) {\r\n\t\t\tactualArmyCountPerCountryAfterReinforcement.put(country,\r\n\t\t\t\t\tplayerOne.getStrategyType().gameData.gameMap.getCountry(country).getCountryArmyCount());\r\n\t\t}\r\n\r\n\t\tassertEquals(actualArmyCountPerCountryAfterReinforcement, expectedArmyCountPerCountryAfterReinforcement);\r\n\t\t// assertTrue(strongerCountryAfterReinforcement >\r\n\t\t// strongerCountryBeforeReinforcement);\r\n\r\n\t}", "@Test\n public void testEstimateC_Iterable_int()\n {\n Iterable<IIntArray> trajs = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateC(trajs, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test public void calcROItest() {\n DirectMC h = new DirectMC(\"AdMailing\", 10000.00, 3.00, 2000);\n Assert.assertEquals(.4286, h.calcROI(), 1);\n }", "@Test\n @Tag(\"slow\")\n public void testMAROS() {\n CuteNetlibCase.doTest(\"MAROS.SIF\", \"-58063.743701138235\", \"-10623.409207717115\", NumberContext.of(7, 4));\n }", "@Before\r\n public void setUp() {\n articuloPrueba = new Articulo();\r\n \r\n \r\n }", "@Test\n public void shouldFindCorrectSwitchYear() {\n Data coalMiningDisasterData = Data.load(\"coal-mining-disaster-data.csv\");\n\n //create my model using the data\n Model model = new Model(coalMiningDisasterData);\n model.run();\n\n int switchYear = model.results.getIntegerTensorSamples(model.switchpoint).getScalarMode();\n\n assertEquals(switchYear, 1890);\n }", "@Test\n public void testAlto() {\n System.out.println(\"alto\");\n Camiones instance = new Camiones(\"C088IJ\", true, 10);\n double expResult = 0.0;\n double result = instance.alto();\n \n // TODO review the generated test code and remove the default call to fail.\n \n }", "@Override\n public void testAtvAutoScan() {\n Log.d(TAG, \"testAtvAutoScan\");\n mTvChannelManager.setUserScanType(TvChannelManager.TV_SCAN_ATV);\n mTvAtscChannelManager.deleteAtvMainList();\n if (mTvCommonManager.getCurrentTvInputSource() != TvCommonManager.INPUT_SOURCE_ATV) {\n mTvCommonManager.setInputSource(TvCommonManager.INPUT_SOURCE_ATV);\n }\n / add delay: impersonate the user operation /\n sleep(3000);\n assertEquals(TvCommonManager.INPUT_SOURCE_ATV, mTvCommonManager.getCurrentTvInputSource());\n\n mTvAtscChannelManager.setDtvAntennaType(TvChannelManager.DTV_ANTENNA_TYPE_AIR);\n / add delay: impersonate the user operation /\n sleep(3000);\n\n registerScanListener();\n mTvChannelManager.startAtvAutoTuning(ATV_EVENTINTERVAL, ATV_MIN_FREQ, ATV_MAX_FREQ);\n while (mAtvScanPercent < 100) {\n / mAtvScanDone is set as true while auto tuning done */\n sleep(500);\n }\n unRegisterScanListener();\n\n int atvChCount = mTvChannelManager.getProgramCount(TvChannelManager.PROGRAM_COUNT_ATV);\n Log.d(TAG, \"scaned atv channel count is:\" + atvChCount);\n assertTrue(\"atv channel count should be larger than zero after atv autotuning!!\",\n atvChCount > 0);\n }", "@Test\r\n\t@Order(4)\r\n\tpublic void testLimpiarCesta() {\r\n\t\tArticulo articulo1 = new Articulo(\"Camiseta\", 15.5);\r\n\r\n\t\tcarritoCompraService.addArticulo(articulo1);\r\n\t\tcarritoCompraService.limpiarCesta();\r\n\t\tassertEquals(0, carritoCompraService.getArticulos().size());\r\n\t}", "public static final void testAnnuity (\n double C,\n double r,\n double T )\n //////////////////////////////////////////////////////////////////////\n {\n double FV = futureValueAnnuity ( C, r, T );\n System.out.println ( FV );\n System.out.println ( presentValue ( FV, r, T ) );\n System.out.println ( presentValueAnnuity ( C, r, T ) );\n double [ ] c = new double [ ( int ) T ];\n for ( int i = 0; i < T; i++ ) c [ i ] = C;\n System.out.println ( presentValue ( c, r ) );\n }", "@Test(timeout = 4000)\n public void test167() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.showStdDevTipText();\n resultMatrixLatex0.getRevision();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n resultMatrixGnuPlot0.RIGHT_PARENTHESES = \")\";\n resultMatrixGnuPlot0.getDefaultRowNameWidth();\n int[] intArray0 = new int[7];\n intArray0[0] = 2;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 1;\n intArray0[4] = 0;\n intArray0[5] = 1;\n intArray0[6] = 2;\n resultMatrixLatex0.m_ColOrder = intArray0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n int[] intArray1 = new int[6];\n intArray1[0] = 0;\n intArray1[1] = 50;\n intArray1[2] = 50;\n intArray1[3] = 50;\n intArray1[4] = 2;\n intArray1[5] = 0;\n resultMatrixSignificance0.m_RankingLosses = intArray1;\n resultMatrixSignificance0.getDisplayName();\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n \n String string0 = resultMatrixLatex0.getSummaryTitle(0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"a\", string0);\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n }", "@Test\n public void testDeterminante() {\n System.out.println(\"determinante\");\n Matrix matrix = null;\n double expResult = 0.0;\n double result = utilsHill.determinante(matrix);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testAtualizarNomeCliente() {\n System.out.println(\"atualizarNomeCliente\");\n String novoNome = \"\";\n String nCpf = \"\";\n ClienteDAO instance = new ClienteDAO();\n boolean expResult = false;\n boolean result = instance.atualizarNomeCliente(novoNome, nCpf);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "public boolean train_auto(Mat trainData, Mat responses, Mat varIdx, Mat sampleIdx, CvSVMParams params)\r\n {\r\n\r\n boolean retVal = train_auto_1(nativeObj, trainData.nativeObj, responses.nativeObj, varIdx.nativeObj, sampleIdx.nativeObj, params.nativeObj);\r\n\r\n return retVal;\r\n }", "@Ignore\n\t@Test\n\tpublic void testaMediaDeZeroLance() {\n\t\tLeilao leilao = new Leilao(\"Iphone 7\");\n\n//\t\tcriaAvaliador();\n\t\tleiloeiro.avalia(leilao);\n\n\t\t// validacao\n\t\tassertEquals(0, leiloeiro.getValorMedio(), 0.0001);\n\t}" ]	[ "0.6911617", "0.657751", "0.61705124", "0.5979178", "0.5584032", "0.5471109", "0.546512", "0.53280854", "0.5146895", "0.5146619", "0.5114449", "0.5101543", "0.5048534", "0.5029519", "0.5007086", "0.50031924", "0.49893585", "0.49002227", "0.48725218", "0.48507547", "0.48437423", "0.483324", "0.4823997", "0.48078686", "0.4806584", "0.4765398", "0.47453874", "0.47347996", "0.47212484", "0.47115278", "0.47029594", "0.46987855", "0.46940172", "0.4693388", "0.46887255", "0.46764922", "0.4672367", "0.46720222", "0.46590412", "0.46562085", "0.46548453", "0.46520102", "0.46223533", "0.4616852", "0.46083805", "0.46072954", "0.45878506", "0.45772105", "0.4568609", "0.4566959", "0.45657086", "0.4558889", "0.45531088", "0.45464227", "0.4539045", "0.453642", "0.45360515", "0.45314017", "0.45304504", "0.45259935", "0.4525119", "0.4511671", "0.45081043", "0.4503389", "0.45029595", "0.4501867", "0.45000705", "0.4494943", "0.44938836", "0.4481753", "0.44755164", "0.44717607", "0.44590902", "0.4456576", "0.4450428", "0.4449253", "0.44433406", "0.44433215", "0.44411388", "0.44377363", "0.44365498", "0.44299117", "0.44270274", "0.4426579", "0.44256964", "0.44104558", "0.44092035", "0.44088253", "0.44043034", "0.43994376", "0.43908298", "0.43829197", "0.43822515", "0.43797126", "0.4376215", "0.43717808", "0.4366398", "0.43661147", "0.43645805", "0.4363435" ]	0.8696308	0
Test of correlation method, of class MarkovModelUtilities.	@Test public void testCorrelation() { IDoubleArray M = null; IDoubleArray observable1 = null; IDoubleArray observable2 = null; IDoubleArray timepoints = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.correlation(M, observable1, observable2, timepoints); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.autocorrelation(M, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testLogLikelihoodCorrelationMatrix()\n {\n IDoubleArray corr = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihoodCorrelationMatrix(corr, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testFingerprintCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintCorrelation(M, observable1, observable2);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.matthewsCorrelationCoefficient(5);\n assertEquals(0.0, double0, 0.01);\n }", "@Test(timeout = 4000)\n public void test089() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n try { \n evaluation0.correlationCoefficient();\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Can't compute correlation coefficient: class is nominal!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test\n public void testPearson() {\n System.out.println(\"pearson\");\n double[] x = {44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1};\n double[] y = {2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8};\n\n CorTest result = CorTest.pearson(x, y);\n assertEquals(0.5711816, result.cor, 1E-7);\n assertEquals(7, result.df, 1E-10);\n assertEquals(1.8411, result.t, 1E-4);\n assertEquals(0.1082, result.pvalue, 1E-4);\n }", "@Test(timeout = 4000)\n public void test033() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.matthewsCorrelationCoefficient((-2935));\n assertEquals(0.0, double0, 0.01);\n }", "private static Correlation getCorrelation(Query query, PhemaElmToOmopTranslatorContext context)\n throws PhemaNotImplementedException, CorrelationException, PhemaTranslationException {\n Expression correlationExpression = query.getRelationship().get(0).getSuchThat();\n\n if (!correlationExpressionSupported(correlationExpression)) {\n throw new PhemaNotImplementedException(String\n .format(\"Correlation not support for %s expression\",\n correlationExpression.getClass().getSimpleName()));\n }\n\n Map<String, QuickResource> aliases = setupAliases(query, context);\n\n if (correlationExpression instanceof Equal) {\n QuickResourceAttributePair lhs = getResourceAttributePairFromOperand(\n ((Equal) correlationExpression).getOperand().get(0), aliases);\n QuickResourceAttributePair rhs = getResourceAttributePairFromOperand(\n ((Equal) correlationExpression).getOperand().get(1), aliases);\n\n return new Correlation(lhs, rhs, correlationExpression);\n } else {\n throw new PhemaNotImplementedException(String\n .format(\"Correlation not support for %s expression\",\n correlationExpression.getClass().getSimpleName()));\n }\n }", "@Override\r\n\tpublic Double getModel_fixed_correlation() {\n\t\treturn super.getModel_fixed_correlation();\r\n\t}", "@Test\n public void testFingerprintAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintAutocorrelation(M, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void useCorrelationMatrix(){\n this.covRhoOption = false;\n }", "@Test\n public void test_IsOxideCorr() {\n System.out.println(\"Testing MeasuredRatioModel's isOxideCorr()\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = false;\n boolean result = instance.isOxideCorr();\n assertEquals(expResult, result);\n instance = new MeasuredRatioModel(\"Specific\",new BigDecimal(\"213\"),\"ABS\",new BigDecimal(\"0.4324\"),true,true);\n result = instance.isOxideCorr();\n expResult=true;\n assertEquals(expResult, result);\n }", "public void spearmansRankCorrelation(double cutoff, MWBMatchingAlgorithm mwbm) {\n double p = 0;\n\n SpearmansCorrelation t = new SpearmansCorrelation();\n\n // size has to be the same so we randomly sample the number of the smaller sample from\n // the big sample\n if (this.train.size() > this.test.size()) {\n this.sample(this.train, this.test, this.train_values);\n }\n else if (this.test.size() > this.train.size()) {\n this.sample(this.test, this.train, this.test_values);\n }\n\n // try out possible attribute combinations\n for (int i = 0; i < this.train.numAttributes(); i++) {\n for (int j = 0; j < this.test.numAttributes(); j++) {\n // negative infinity counts as not present, we do this so we don't have to map\n // between attribute indexs in weka\n // and the result of the mwbm computation\n mwbm.setWeight(i, j, Double.NEGATIVE_INFINITY);\n\n // class attributes are not relevant\n if (this.test.classIndex() == j) {\n continue;\n }\n if (this.train.classIndex() == i) {\n continue;\n }\n\n p = t.correlation(this.train_values.get(i), this.test_values.get(j));\n if (p > cutoff) {\n mwbm.setWeight(i, j, p);\n }\n }\n }\n }", "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Override\r\n\tpublic Double getModel_cash_correlation() {\n\t\treturn super.getModel_cash_correlation();\r\n\t}", "@Test\n public void test11() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"xx\\\"qa7Q>h6u=;6s.h+.<\");\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.matthewsCorrelationCoefficient(0);\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01D);\n }", "@Test public void calcROItest() {\n DirectMC h = new DirectMC(\"AdMailing\", 10000.00, 3.00, 2000);\n Assert.assertEquals(.4286, h.calcROI(), 1);\n }", "@Test\n\tvoid testRobotReturnToOrigin() {\n\t\t// Test for RobotReturnToOrigin\n\t\tassertTrue(new RobotReturnToOrigin().judgeCircle(\"UD\"));\n\t\tassertFalse(new RobotReturnToOrigin().judgeCircle(\"LL\"));\n\n\t\t// Test for RobotReturnToOrigin2\n\t\tassertTrue(new RobotReturnToOrigin2().judgeCircle(\"UD\"));\n\t\tassertFalse(new RobotReturnToOrigin2().judgeCircle(\"LL\"));\n\t}", "@Override\r\n\tpublic Double getModel_equity_correlation() {\n\t\treturn super.getModel_equity_correlation();\r\n\t}", "@Test\n public void testSpearman() {\n System.out.println(\"spearman\");\n double[] x = {44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1};\n double[] y = {2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8};\n\n CorTest result = CorTest.spearman(x, y);\n assertEquals(0.6, result.cor, 1E-7);\n assertEquals(0.08762, result.pvalue, 1E-5);\n }", "@Test(timeout = 4000)\n public void test002() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedMatthewsCorrelation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "public void testaReclamacao() {\n\t}", "@Test\n public void test_SetOxideCorr() {\n System.out.println(\"Testing MeasuredRatioModel's setOxideCorr(boolean value)\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = true;\n instance.setOxideCorr(true);\n boolean result = instance.isOxideCorr();\n assertEquals(expResult, result);\n instance.setOxideCorr(false);\n result = instance.isOxideCorr();\n expResult=false;\n assertEquals(expResult, result);\n }", "@Override\n\tpublic void borrar() {\n\t\t\n\t}", "@Test void perfect() {\n\t\tstandardScene();\n\t\tsimulateScene(0);\n\n\t\tvar alg = new DistanceMetricTripleReprojection23();\n\n\t\tvar model = new MetricCameraTriple();\n\t\tmodel.view1.setTo(cameraA);\n\t\tmodel.view2.setTo(cameraB);\n\t\tmodel.view3.setTo(cameraC);\n\t\tmodel.view_1_to_2.setTo(truthView_1_to_i(1));\n\t\tmodel.view_1_to_3.setTo(truthView_1_to_i(2));\n\n\t\talg.setModel(model);\n\n\t\tfor (AssociatedTriple a : observations3) {\n\t\t\tassertEquals(0.0, alg.distance(a), UtilEjml.TEST_F64);\n\t\t}\n\n\t\tvar set = observations3.subList(4, 11);\n\t\tvar distances = new double[set.size()];\n\t\talg.distances(set, distances);\n\t\tfor (int i = 0; i < distances.length; i++) {\n\t\t\tassertEquals(0.0, distances[i], UtilEjml.TEST_F64);\n\t\t}\n\t}", "public void testRotPointFromFormula() {\n // We compare to multiplication using timesXYZ().\n for(int j=0; j<20; j++) {\n // Get some initial values.\n a = getRandom();\n b = getRandom();\n c = getRandom();\n u = getRandom();\n v = getRandom();\n w = getRandom();\n double x = getRandom();\n double y = getRandom();\n double z = getRandom();\n theta = getRandom();\n\n // Build the initialized matrix.\n RotationMatrix rMInit \n = new RotationMatrix(a, b, c, u, v, w, theta);\n // Build the uninitialized matrix.\n RotationMatrix rM = new RotationMatrix();\n if(LOG) rM.logMatrix();\n\n // Compare formula to matrix multiplication.\n double[] expect = rMInit.timesXYZ(new double[] {x, y, z});\n double[] result = rM.rotPointFromFormula(a, b, c, \n u, v, w, \n x, y, z, theta);\n\n log(\"testRotPointFromFormula() expect: \"+arrayToString(expect));\n log(\"testRotPointFromFormula() result: \"+arrayToString(result));\n\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n }\n }", "double correlationCoefficient(User a, User b) throws CwebApiException;", "@Test\n public void testGetPairwiseTest()\n {\n System.out.println(\"getPairwiseTest\");\n BonferroniCorrection instance = new BonferroniCorrection( WilcoxonSignedRankConfidence.INSTANCE );\n assertSame( WilcoxonSignedRankConfidence.INSTANCE, instance.getPairwiseTest() );\n }", "@Test\n public void test_IsFracCorr() {\n System.out.println(\"Testing MeasuredRatioModel's isFracCorr()\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = false;\n boolean result = instance.isFracCorr();\n assertEquals(expResult, result);\n instance = new MeasuredRatioModel(\"Specific\",new BigDecimal(\"213\"),\"ABS\",new BigDecimal(\"0.4324\"),true,true);\n result = instance.isFracCorr();\n expResult=true;\n assertEquals(expResult, result);\n }", "public void borrar ();", "@Test\r\n public void testGetPolarizacaoPorReflexao() {\r\n System.out.println(\"getPolarizacaoPorReflexao\");\r\n Simulacao instance = new Simulacao(TipoDPolarizacao.REFLEXAO);\r\n PolarizacaoPorReflexao expResult = new PolarizacaoPorReflexao();\r\n instance.setPolarizacaoPorReflexao(expResult);\r\n PolarizacaoPorReflexao result = instance.getPolarizacaoPorReflexao();\r\n assertEquals(expResult, result);\r\n }", "private void setCofR() {\n\t\t\n Vector3f pos_vec = new Vector3f();\n Point3f pos = new Point3f();\n Vector3f dir = new Vector3f();\n\t\tMatrix4f view_mtx = new Matrix4f();\n\t\tMatrix4f nav_mtx = new Matrix4f();\n Point3f cor = new Point3f();\n\t\t\n\t\tnavigationTransform.getTransform(nav_mtx);\n\t\t\n\t\tdata.viewpointTransform.getTransform(view_mtx);\n\t\tview_mtx.get(pos_vec);\n\t\t\n\t\t// the eye point\n\t\tpos.set(pos_vec);\n\t\t\n\t\t// the eye direction\n\t\tdir.x = view_mtx.m02;\n\t\tdir.y = view_mtx.m12;\n\t\tdir.z = view_mtx.m22;\n\t\tdir.negate();\n\t\tdir.normalize();\n\t\t\n\t\t// transform into world space\n\t\tnav_mtx.transform(pos);\n\t\tnav_mtx.transform(dir);\n\t\t\n\t\tArrayList pickResults = new ArrayList();\n\t\tPickRequest pickRequest = new PickRequest();\n\t\tpickRequest.pickGeometryType = PickRequest.PICK_RAY;\n\t\tpickRequest.pickSortType = PickRequest.SORT_ORDERED;\n\t\tpickRequest.pickType = PickRequest.FIND_GENERAL;\n\t\tpickRequest.useGeometry = false;\n\t\tpickRequest.foundPaths = pickResults;\n\t\t\n\t\t// initialize the pick request\n\t\tpickRequest.origin[0] = pos.x;\n\t\tpickRequest.origin[1] = pos.y;\n\t\tpickRequest.origin[2] = pos.z;\n\t\t\n\t\tpickRequest.destination[0] = dir.x;\n\t\tpickRequest.destination[1] = dir.y;\n\t\tpickRequest.destination[2] = dir.z;\n\t\t\n\t\trootGroup.pickSingle(pickRequest);\n\t\t\n\t\tif (pickRequest.pickCount > 0) {\n\t\t\t\n \tPoint3f intersectPoint = new Point3f();\n \tVector3f intersectVector = new Vector3f();\n\t\t\n\t\t\tfloat min_distance = Float.MAX_VALUE;\n\t\t\t// sort through the bounds intersections\n\t\t\tint num_pick = pickResults.size();\n\t\t\tfor (int i = 0; i < num_pick; i++) {\n\t\t\t\t\n\t\t\t\tSceneGraphPath sgp = (SceneGraphPath)pickResults.get(i);\n\t\t\t\tsgp.getTransform(view_mtx);\n\t\t\t\t\n\t\t\t\tShape3D shape = (Shape3D)sgp.getTerminalNode();\n\t\t\t\tVertexGeometry geom = (VertexGeometry)shape.getGeometry();\n\t\t\t\t\n\t\t\t\t//determine if there was an actual geometry intersection\n\t\t\t\tboolean intersect = iutils.rayUnknownGeometry(\n\t\t\t\t\tpos,\n\t\t\t\t\tdir,\n\t\t\t\t\t0,\n\t\t\t\t\tgeom,\n\t\t\t\t\tview_mtx,\n\t\t\t\t\tintersectPoint,\n\t\t\t\t\tfalse);\n\t\t\t\t\n\t\t\t\tif (intersect) {\n\t\t\t\t\tintersectVector.set(\n\t\t\t\t\t\tintersectPoint.x - pos.x,\n\t\t\t\t\t\tintersectPoint.y - pos.y,\n\t\t\t\t\t\tintersectPoint.z - pos.z);\n\n\t\t\t\t\tfloat distance = intersectVector.length();\n\t\t\t\t\tif (distance < min_distance) {\n\t\t\t\t\t\tmin_distance = distance;\n\t\t\t\t\t\tcor.set(intersectPoint);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} \n\t\t\tnav_mtx.invert();\n\t\t\tnav_mtx.transform(cor);\n\t\t}\n\t\tcenterOfRotation.set(cor);\n\t}", "public double corr(DocumentVector other) {\n\t\tdouble mean1 = mean();\n\t\tdouble mean2 = other.mean();\n\t\t\n\t\tint n = Math.min(this.getAttCount(), other.getAttCount());\n\t\tdouble VX = 0, VY = 0;\n\t\tdouble VXY = 0;\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\tdouble deviate1 = this.getValueAsReal(i) - mean1;\n\t\t\tdouble deviate2 = other.getValueAsReal(i) - mean2;\n\t\t\t\n\t\t\tVX += deviate1 * deviate1;\n\t\t\tVY += deviate2 * deviate2;\n\t\t\tVXY += deviate1 * deviate2;\n\t\t}\n\t\t\n\t\tif (VX == 0 \|\| VY == 0)\n\t\t\treturn Constants.UNUSED;\n\t\telse\n\t\t\treturn VXY / Math.sqrt(VX * VY);\n\t}", "@Test\n\tpublic void testGetterCoefficient() {\n\t\tf.ajouterMatiere(\"Français\", 3);\n\t\tf.ajouterMatiere(\"Mathématiques\", 5);\n\t\t\n\t\tassertEquals(\"Le coefficient de la matiere devrait etre de 3\", 3, f.getCoefficient(\"Français\"), 5);\n\t\tassertEquals(\"Le coefficient de la matiere devrait etre de 5\", 5, f.getCoefficient(\"Mathématiques\"), 5);\n\t\tassertEquals(\"Le coefficient de la matiere devrait etre de 5\", 0, f.getCoefficient(\"Maths\"), 5);\n\t}", "@Test\n\tpublic void evalCrispDistanceWithCrisp1(){\n\t\tFuzzySet res = (CrispSet)cs1.distance(cs2);\n\t\tassertTrue(res instanceof CrispSet);\n\t\tCrispSet resCrisp = (CrispSet)res;\n\t\t//Puntos limite\t\t\n\t\tassertTrue(resCrisp.getLeftBoundary()==3);\n\t\tassertTrue(resCrisp.getRightBoundary()==6);\n\t\t//Valores extremos\n\t\tassertTrue(resCrisp.getMembershipValue(0)==0);\n\t\tassertTrue(resCrisp.getMembershipValue(3)==1);\n\t\tassertTrue(resCrisp.getMembershipValue(4)==1);\n\t\tassertTrue(resCrisp.getMembershipValue(4.5)==1);\n\t\tassertTrue(resCrisp.getMembershipValue(5)==1);\n\t\tassertTrue(resCrisp.getMembershipValue(6)==1);\n\t\tassertTrue(resCrisp.getMembershipValue(6.01)==0);\n\t}", "@Test\r\n public void testGetPolarizacaoPorAbsorcao() {\r\n System.out.println(\"getPolarizacaoPorAbsorcao\");\r\n Simulacao instance = new Simulacao(TipoDPolarizacao.REFLEXAO);\r\n PolarizacaoPorAbsorcao expResult = new PolarizacaoPorAbsorcao();\r\n instance.setPolarizacaoPorAbsorcao(expResult);\r\n PolarizacaoPorAbsorcao result = instance.getPolarizacaoPorAbsorcao();\r\n assertEquals(expResult, result);\r\n }", "public static double calculateCorrelation(TransposeDataList transposeDataList) {\n Object[] keys = transposeDataList.keySet().toArray();\n if(keys.length!=2) {\n throw new IllegalArgumentException(\"The collection must contain observations from 2 groups.\");\n }\n \n Object keyX = keys[0];\n Object keyY = keys[1];\n \n FlatDataCollection flatDataCollectionX = transposeDataList.get(keyX).toFlatDataCollection();\n FlatDataCollection flatDataCollectionY = transposeDataList.get(keyY).toFlatDataCollection();\n\n int n = flatDataCollectionX.size();\n if(n<=2 \|\| n!=flatDataCollectionY.size()) {\n throw new IllegalArgumentException(\"The number of observations in each group must be equal and larger than 2.\");\n }\n\n double stdX= Descriptives.std(flatDataCollectionX,true);\n double stdY=Descriptives.std(flatDataCollectionY,true);\n\n double covariance=Descriptives.covariance(transposeDataList,true);\n\n double pearson=covariance/(stdXstdY);\n\n return pearson;\n }", "@Test\n public void testPerturbationExpectation()\n {\n IDoubleArray M = null;\n IDoubleArray pi0 = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.perturbationExpectation(M, pi0, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void testRotationMatrix() {\n\n u = 1;\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n // This should be the identity matrix\n double[][] m = rM.getMatrix();\n for(int i=0; i<m.length; i++) {\n for(int j=0; j<m.length; j++) {\n if(j==i) {\n assertEquals(m[i][j], 1, TOLERANCE);\n } else {\n assertEquals(m[i][j], 0, TOLERANCE);\n }\n }\n }\n }", "private double[] getPearsonCoeff(LinkedList<double[]> linAccSample, LinkedList<double[]> gyroSample) {\n double[] xLinAccValues = new double[linAccSample.size()],\n yLinAccValues = new double[linAccSample.size()],\n zLinAccValues = new double[linAccSample.size()],\n xGyroValues = new double[linAccSample.size()],\n yGyroValues = new double[linAccSample.size()],\n zGyroValues = new double[linAccSample.size()];\n for (int i = 0; i < linAccSample.size(); i++) {\n xLinAccValues[i] = linAccSample.get(i)[0];\n yLinAccValues[i] = linAccSample.get(i)[1];\n zLinAccValues[i] = linAccSample.get(i)[2];\n }\n for (int i = 0; i < gyroSample.size(); i++) {\n xGyroValues[i] = gyroSample.get(i)[0];\n yGyroValues[i] = gyroSample.get(i)[1];\n zGyroValues[i] = gyroSample.get(i)[2];\n }\n // order: xlinaccvalues vs xgyro,ygyro,zgyro, then ylinaccvalues, so on...\n PearsonsCorrelation pCorr = new PearsonsCorrelation();\n double pCoeff1 = pCorr.correlation(xLinAccValues, xGyroValues);\n double pCoeff2 = pCorr.correlation(xLinAccValues, yGyroValues);\n double pCoeff3 = pCorr.correlation(xLinAccValues, zGyroValues);\n double pCoeff4 = pCorr.correlation(yLinAccValues, xGyroValues);\n double pCoeff5 = pCorr.correlation(yLinAccValues, yGyroValues);\n double pCoeff6 = pCorr.correlation(yLinAccValues, zGyroValues);\n double pCoeff7 = pCorr.correlation(zLinAccValues, xGyroValues);\n double pCoeff8 = pCorr.correlation(zLinAccValues, yGyroValues);\n double pCoeff9 = pCorr.correlation(zLinAccValues, zGyroValues);\n\n double[] coefficients = {\n pCoeff1, pCoeff2, pCoeff3, pCoeff4, pCoeff5, pCoeff6, pCoeff7, pCoeff8, pCoeff9\n };\n for (int i = 0; i < coefficients.length; i++) {\n if (Double.isNaN(coefficients[i])) coefficients[i] = 0;\n }\n return coefficients;\n }", "@Test\n public void testCosineSimilarity() {\n SimilarityFunctions s = new SimilarityFunctions();\n\n double[] vector1 = new double[]{1, 2, 3};\n double[] vector2 = new double[]{2, 6, 3};\n double[] vector3 = new double[]{0, 1, 2};\n double[] vector4 = new double[]{2, 0, 0, 0};\n double[] vector5 = new double[]{1, 2.4, 3.9, 1};\n double[] vector6 = new double[]{1};\n double[] vector7 = new double[]{-1};\n\n assertEquals(0.8781440805693944, s.cosineSimilarity(vector1, vector2), .001);\n assertEquals(0.9561828874675149, s.cosineSimilarity(vector1, vector3), .001);\n assertEquals(0.7666518779999278, s.cosineSimilarity(vector2, vector3), .001);\n assertEquals(0.20865053489458874, s.cosineSimilarity(vector4, vector5), .001);\n assertEquals(-1.0, s.cosineSimilarity(vector6, vector7), .001);\n }", "@Test\r\n public void testGetTipoDPolarizacao() {\r\n System.out.println(\"getTipoDPolarizacao\");\r\n Simulacao instance = new Simulacao(TipoDPolarizacao.REFLEXAO);\r\n TipoDPolarizacao expResult = TipoDPolarizacao.REFLEXAO;\r\n TipoDPolarizacao result = instance.getTipoDPolarizacao();\r\n assertEquals(expResult, result);\r\n\r\n }", "public static void corrDistOut()\t\n\t{\t \n\t\n\t\tdouble c, n, w;\n\t\t\n\t\t//System.err.println(\"CORRDIST\");\n\n\t\tclade = clad[k];\n\t\n\t clade.meanDc = 0;\n\t clade.meanDn = 0;\n\t clade.meanWeight = 0;\n\t clade.sumDcxWeight = 0;\n\t clade.sumDnxWeight = 0;\n\t clade.sumDcSq = 0;\n\t clade.sumDnSq = 0;\n\t clade.sumWeightSq = 0;\n\t\t\n\t\tc = n = w = 0;\n\t\t\n\t\tfor(i = 0; i < clade.numSubClades; i++)\n\t\t\t{\n\t \tclade.meanDc += clade.Dc[i] / (double) clade.numSubClades;\n\t \tclade.meanDn += clade.Dn[i] / (double) clade.numSubClades;\n\t \tclade.meanWeight += clade.weight[i] / (double) clade.numSubClades;\n\t \tclade.sumDcxWeight += clade.Dc[i] clade.weight[i];\n\t \tclade.sumDnxWeight += clade.Dn[i] * clade.weight[i];\n\t \tclade.sumDcSq += Math.pow (clade.Dc[i],2); \n\t \tclade.sumDnSq += Math.pow(clade.Dn[i],2); \n\t \tclade.sumWeightSq += Math.pow(clade.weight[i], 2);\n\t \t \t}\t\n\t \n\t c = clade.sumDcSq - (double) clade.numSubClades * Math.pow(clade.meanDc,2);\n\t n = clade.sumDnSq - (double) clade.numSubClades * Math.pow(clade.meanDn,2);\n\t \tw = clade.sumWeightSq - (double) clade.numSubClades * Math.pow(clade.meanWeight,2); \n\n\t\tif(clade.sumDcSq == 0 \|\| c == 0 \|\| w == 0)\n\t\t\tclade.corrDcWeights = NA; \n\t else\n\t\t\tclade.corrDcWeights = (clade.sumDcxWeight - (double)clade.numSubClades * clade.meanDc * clade.meanWeight) / (Math.sqrt(cw));\n\n\t\tif(clade.sumDnSq == 0 \|\| n == 0 \|\| w == 0)\n\t\t\tclade.corrDnWeights = NA; \n\t else\n\t\t\tclade.corrDnWeights = (clade.sumDnxWeight - (double) clade.numSubClades clade.meanDn * clade.meanWeight) / (Math.sqrt(nw));\n\n\t if(clade.corrDcWeights > 1 && clade.corrDcWeights < 2)\n\t clade.corrDcWeights = 1;\n\t \n\t if(clade.corrDcWeights < -1)\n\t clade.corrDcWeights = -1;\n\t \n\t if(clade.corrDnWeights > 1 && clade.corrDnWeights < 2)\n\t clade.corrDnWeights = 1;\n\t \n\t if(clade.corrDnWeights < -1)\n\t clade.corrDnWeights = -1; \n\n\t\t//System.err.println(\"Correlations clade \" + clade.cladeName + \": \" + clade.corrDcWeights + \" \" + clade.corrDnWeights);\n\n\t}", "@Test\n public void testGetRotationMatrix() {\n \n AxisRotation rotation = new AxisRotation(0, 0, 1, 54);\n Mat3D rotationMatrix1 = rotation.getRotationMatrix();\n \n AxisRotation rotation2 = new AxisRotation(0, 0, 1, 324);\n Mat3D rotationMatrix2 = rotation2.getRotationMatrix();\n \n System.out.println(\"test\");\n }", "@Test\n public void testEstimateC_Iterable_int()\n {\n Iterable<IIntArray> trajs = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateC(trajs, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testEstimateCmilestoning_3args_1()\n {\n Iterable<IIntArray> trajs = null;\n Iterable<IIntArray> cores = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCmilestoning(trajs, cores, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n public void testGetMicentro() {\r\n System.out.println(\"getMicentro\");\r\n Servicio_CentroEcu instance = new Servicio_CentroEcu();\r\n CentroEcu_Observado expResult = new CentroEcu_Observado();\r\n instance.setMicentro(expResult);\r\n assertEquals(expResult, instance.getMicentro());\r\n }", "public void testCompare3() throws Exception {\r\n ComponentCompetitionSituation situation = new ComponentCompetitionSituation();\r\n ComponentCompetitionPredictor predictor = new ComponentCompetitionPredictor();\r\n ComponentCompetitionFulfillmentPrediction prediction1 = new ComponentCompetitionFulfillmentPrediction(1.5D,\r\n situation, predictor);\r\n ComponentCompetitionFulfillmentPrediction prediction2 = new ComponentCompetitionFulfillmentPrediction(0.6D,\r\n situation, predictor);\r\n\r\n begin();\r\n\r\n for (int i = 0; i < TIMES; i++) {\r\n // predictions above the range < predictions below the range\r\n int result = comparator.compare(prediction1, prediction2);\r\n // result should be < 0\r\n assertTrue(\"result of compare\", result < 0);\r\n }\r\n\r\n print(\"ComponentCompetitionFulfillmentPredictionPrizeComparator#compare\");\r\n }", "public void testCompare1() throws Exception {\r\n ComponentCompetitionSituation situation = new ComponentCompetitionSituation();\r\n ComponentCompetitionPredictor predictor = new ComponentCompetitionPredictor();\r\n ComponentCompetitionFulfillmentPrediction prediction1 = new ComponentCompetitionFulfillmentPrediction(1.0D,\r\n situation, predictor);\r\n ComponentCompetitionFulfillmentPrediction prediction2 = new ComponentCompetitionFulfillmentPrediction(1.5D,\r\n situation, predictor);\r\n\r\n begin();\r\n\r\n for (int i = 0; i < TIMES; i++) {\r\n // predictions in range < predictions above the range\r\n int result = comparator.compare(prediction1, prediction2);\r\n // result should be < 0\r\n assertTrue(\"result of compare\", result < 0);\r\n }\r\n\r\n print(\"ComponentCompetitionFulfillmentPredictionPrizeComparator#compare\");\r\n }", "private boolean testeCheck(Cor cor) {\n\t\tPosicao reiPosicao = rei(cor).getPosicaoXadrez().paraPosicao();\n\t\t// Lista de pecas do oponente\n\t\tList<Peca> pecasOponente = pecasTabuleiro.stream()\n\t\t\t\t.filter(x -> ((PecaXadrez)x).getCor() == oponente(cor))\n\t\t\t\t.collect(Collectors.toList());\n\t\t// para cada peca do oponente verifica seus possiveis movimentos\n\t\tfor (Peca p : pecasOponente) {\n\t\t\tboolean[][] mat = p.movimentosPossiveis();\n\t\t\t//Se for essa posicao for verdadeiro (possivel movimento do oponente)\n\t\t\tif (mat[reiPosicao.getLin()][reiPosicao.getCol()]) {\n\t\t\t\treturn true;\n\t\t\t}\n\t\t}\n\t\treturn false;\n\t}", "@Test(timeout = 4000)\n public void test194() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n int int0 = ResultMatrix.SIGNIFICANCE_WIN;\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getVisibleRowCount();\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n intArray0[1] = 1;\n intArray0[2] = 0;\n resultMatrixSignificance0.m_RowOrder = intArray0;\n resultMatrixSignificance0.setSignificanceWidth(1);\n resultMatrixSignificance0.getSignificance(1, 322);\n assertEquals(1, resultMatrixSignificance0.getSignificanceWidth());\n }", "@Test\r\n\tpublic void testDoReturnCamcorder() {\n\r\n\t\tResourceCentre.addCamcorder(camcorderList, cc1);\r\n\t\tResourceCentre.addCamcorder(camcorderList, cc2);\r\n\r\n\t\t// Item list is not null, newly added item cannot be returned successfully.\r\n\t\tassertNotNull(\"Test that list is not null\", camcorderList);\r\n\t\tassertFalse(\"Test that item cannot be returned if not loaned\",\r\n\t\t\t\tResourceCentre.doReturnCamcorder(camcorderList, \"CC0011\"));\r\n\r\n\t\t// Item can be returned successfully, when loaned out.\r\n\t\tResourceCentre.doLoanCamcorder(camcorderList, \"CC0011\", \"01/01/2010\");\r\n\t\tassertTrue(\"Test that item can be returned when loaned out.\",\r\n\t\t\t\tResourceCentre.doReturnCamcorder(camcorderList, \"CC0011\"));\r\n\r\n\t\t// Item can be loaned again and returned successfully\r\n\t\tassertTrue(\"Test that item can be loaned again when returned.\",\r\n\t\t\t\tResourceCentre.doLoanCamcorder(camcorderList, \"CC0011\", \"01/01/2010\"));\r\n\t\tassertTrue(\"Test that item can be returned when reloaned.\",\r\n\t\t\t\tResourceCentre.doReturnCamcorder(camcorderList, \"CC0011\"));\r\n\r\n\t\t// Another item loaned out, can be returned successfully.\r\n\t\tResourceCentre.doLoanCamcorder(camcorderList, \"CC0012\", \"01/01/2010\");\r\n\t\tassertTrue(\"Test that other loaned items can be returned.\",\r\n\t\t\t\tResourceCentre.doReturnCamcorder(camcorderList, \"CC0012\"));\r\n\r\n\t}", "@Test\n public void test_SetFracCorr() {\n System.out.println(\"Testing MeasuredRatioModel's setFracCorr(boolean value)\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = true;\n instance.setFracCorr(true);\n boolean result = instance.isFracCorr();\n assertEquals(expResult, result);\n instance.setFracCorr(false);\n result = instance.isFracCorr();\n expResult=false;\n assertEquals(expResult, result);\n }", "public void testCompare4() throws Exception {\r\n // timelines shorter than or equal to the target\r\n ComponentCompetitionSituation situation1 = new ComponentCompetitionSituation();\r\n situation1.setPostingDate(new Date());\r\n situation1.setEndDate(new Date(situation1.getPostingDate().getTime() + 1000));\r\n\r\n // timelines longer than the target\r\n ComponentCompetitionSituation situation2 = new ComponentCompetitionSituation();\r\n situation2.setPostingDate(new Date());\r\n situation2.setEndDate(new Date(situation2.getPostingDate().getTime() + 100000));\r\n\r\n ComponentCompetitionPredictor predictor = new ComponentCompetitionPredictor();\r\n ComponentCompetitionFulfillmentPrediction prediction1 = new ComponentCompetitionFulfillmentPrediction(1.0D,\r\n situation1, predictor);\r\n ComponentCompetitionFulfillmentPrediction prediction2 = new ComponentCompetitionFulfillmentPrediction(1.0D,\r\n situation2, predictor);\r\n\r\n begin();\r\n\r\n for (int i = 0; i < TIMES; i++) {\r\n // timelines shorter than or equal to the target < timelines longer than the target\r\n int result = comparator.compare(prediction1, prediction2);\r\n // result should be < 0\r\n assertTrue(\"result of compare\", result < 0);\r\n }\r\n\r\n print(\"ComponentCompetitionFulfillmentPredictionPrizeComparator#compare\");\r\n }", "@Test(timeout = 4000)\n public void test189() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(26, 26);\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance1);\n int int0 = resultMatrixGnuPlot0.getMeanPrec();\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(26, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, int0);\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(26, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n }", "@Test\n\tpublic void testCrossover() {\n\t\tint pivot = 5;\n\t\tint size = g10.getUnits().size();\n\t\tArrayList<GenomeDouble> expectedWeights1;\n\t\tArrayList<GenomeDouble> expectedWeights2;\n\t\t\n\t\texpectedWeights1 = new ArrayList<GenomeDouble>(g10.getUnits().size());\n\t\texpectedWeights2 = new ArrayList<GenomeDouble>(g10_2.getUnits().size());\n\t\t\n\t\texpectedWeights1.addAll(g10.getUnits().subList(0, pivot));\n\t\texpectedWeights1.addAll(g10_2.getUnits().subList(pivot, size));\n\t\texpectedWeights2.addAll(g10_2.getUnits().subList(0, pivot));\n\t\texpectedWeights2.addAll(g10.getUnits().subList(pivot, size));\n\t\t\n\t\tList<Genome<GenomeDouble>> results = Genome.crossover(g10, g10_2, 0.7, 10);\n\t\tassertEquals(expectedWeights1, results.get(0).getUnits());\n\t\tassertEquals(expectedWeights2, results.get(1).getUnits());\n\t}", "@Test\n\tpublic void evalCrispDistanceWithCrispOverlaped1(){\n\t\tFuzzySet res = (CrispSet)cs4.distance(cs5);\n\t\tassertTrue(res instanceof CrispSet);\n\t\tCrispSet resCrisp = (CrispSet)res;\n\t\t//Puntos limite\t\t\n\t\tassertTrue(resCrisp.getLeftBoundary()==0);\n\t\tassertTrue(resCrisp.getRightBoundary()==4);\n\t\t//Valores extremos\n\t\tassertTrue(resCrisp.getMembershipValue(0)==1);\n\t\tassertTrue(resCrisp.getMembershipValue(1)==1);\n\t\tassertTrue(resCrisp.getMembershipValue(2)==1);\n\t\tassertTrue(resCrisp.getMembershipValue(3)==1);\n\t\tassertTrue(resCrisp.getMembershipValue(4)==1);\n\t\tassertTrue(resCrisp.getMembershipValue(5)==0);\n\t\tassertTrue(resCrisp.getMembershipValue(6)==0);\n\t\tassertTrue(resCrisp.getMembershipValue(-1)==0);\n\t}", "@Test\n public void testChisqTest() {\n System.out.println(\"chisq\");\n int[][] x = {{12, 7}, {5, 7}};\n CorTest result = CorTest.chisq(x);\n assertEquals(0.1438, result.cor, 1E-4);\n assertEquals(1, result.df, 1E-7);\n assertEquals(0.6411, result.t, 1E-4);\n assertEquals(0.4233, result.pvalue, 1E-4);\n\n int[][] y = {\n {8, 13, 16, 10, 3},\n {4, 9, 14, 16, 7}\n };\n result = CorTest.chisq(y);\n assertEquals(0.2275644, result.cor, 1E-7);\n assertEquals(4, result.df, 1E-7);\n assertEquals(5.179, result.t, 1E-3);\n assertEquals(0.2695, result.pvalue, 1E-4);\n }", "@Test\n public void codonCompare2(){\n //these list are already sorted\n AminoAcidLL first = AminoAcidLL.createFromRNASequence(c);\n AminoAcidLL second = AminoAcidLL.createFromRNASequence(d);\n int expected = 1;\n assertEquals(expected, first.codonCompare(second));\n\n }", "@Test\n public void testEstimateCmilestoning_3args_2()\n {\n IIntArray traj = null;\n Iterable<IIntArray> cores = null;\n int lag = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateCmilestoning(traj, cores, lag);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testGetTorque() {\n System.out.println(\"getTorque\");\n Regime instance = r1;\n double expResult = 85.0;\n double result = instance.getTorque();\n assertEquals(expResult, result, 0.0);\n }", "@Test\n public void test_0040() {\n AutoCovariance instance = new AutoCovariance(\n new ARIMAModel(new double[]{0.3, -0.2, 0.05, 0.04}, 0, new double[]{0.2, 0.5}),\n 1, 10);\n\n assertEquals(1.461338, instance.evaluate(0), 1e-5);\n assertEquals(0.764270, instance.evaluate(1), 1e-5);\n assertEquals(0.495028, instance.evaluate(2), 1e-5);\n assertEquals(0.099292, instance.evaluate(3), 1e-5);\n assertEquals(0.027449, instance.evaluate(4), 1e-5);\n assertEquals(0.043699, instance.evaluate(5), 1e-5);\n assertEquals(0.032385, instance.evaluate(6), 1e-5);\n assertEquals(0.006320, instance.evaluate(7), 1e-5);\n assertEquals(-0.001298186, instance.evaluate(8), 1e-5);\n assertEquals(0.001713744, instance.evaluate(9), 1e-5);\n assertEquals(0.002385183, instance.evaluate(10), 1e-5);\n }", "public String getCor() {\r\n return cor;\r\n }", "public void doMutation(double probability, Solution offsbring) throws JMException {\r\n\t\r\n\t\r\n\t\t \r\n\t\t try {\r\n\t\t \t//System.out.println(offsbring.get);\r\n\t\t int chrmosomesize= offsbring.getCompositionService().size();\r\n\t\t //int random = PseudoRandom.randInt()%chrmosomesize;\r\n\t\t int random = PseudoRandom.randInt()%chrmosomesize;\r\n\t\t if (random<probability){\r\n\t\t \t System.out.println(\" classs \"+offsbring.getCompositionService().get(random).getServiceClass());//getSeviceClass();\r\n\t\t\t \r\n\t\t \t String Sclass=(String) offsbring.getCompositionService().get(random).getServiceClass();//getSeviceClass();\r\n\t\t \r\n\t\t for (int i=0; i<z.ServicePool.size();i++){\r\n\t// if (z.ServicePool.get(i).getServiceFunctionality().equalsIgnoreCase(Sclass))\r\n\t\t \t if (z.ServicePool.get(i).getServiceClass().equalsIgnoreCase(Sclass))\r\n\t\t\tRequiredClass.add(z.ServicePool.get(i));\r\n\t\t }\r\n\t\t // z.ServicePool.get(9).\r\n\t\tint random2 = (PseudoRandom.randInt())%(RequiredClass.size());\r\n\t\toffsbring.getCompositionService().set(random,RequiredClass.get(random2));\r\n\t\t \t\t\r\n\t\t\r\n\t\toffsbring.getCompositionService().set(random,RequiredClass.get(random2));\t\t \t \r\n\t\t \r\n\t\t }\r\n\t\t } catch (ClassCastException e1) {\r\n\t\t Configuration.logger_.severe(\"SinglePointCrossover.doCrossover: Cannot perfom \" +\r\n\t\t \"SinglePointCrossover\");\r\n\t\t Class cls = java.lang.String.class;\r\n\t\t String name = cls.getName();\r\n\t\t throw new JMException(\"Exception in \" + name + \".doCrossover()\");\r\n\t\t }\r\n\t\t \r\n\t\t \r\n\t\t }", "@Test(timeout = 4000)\n public void test135() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[1] = intArray0[0];\n int[] intArray2 = new int[0];\n intArray0[2] = intArray2;\n int[] intArray3 = new int[6];\n intArray3[1] = 0;\n String string0 = resultMatrixGnuPlot0.doubleToString(0, 0);\n assertEquals(\"0.\", string0);\n \n intArray3[2] = 2;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int int1 = resultMatrixSignificance0.getSignificance(2469, 0);\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, int1);\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n }", "public void setCor(String cor) {\r\n this.cor = cor;\r\n }", "@Test\n public void codonCompare1(){\n //these list are already sorted\n AminoAcidLL first = AminoAcidLL.createFromRNASequence(a);\n AminoAcidLL second = AminoAcidLL.createFromRNASequence(b);\n int expected = 0;\n assertEquals(expected, first.codonCompare(second));\n }", "@Test(timeout = 4000)\n public void test177() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getVisibleRowCount();\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n intArray0[1] = 1;\n intArray0[2] = 0;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(1, 2);\n resultMatrixGnuPlot0.getDefaultColNameWidth();\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n ResultMatrixGnuPlot resultMatrixGnuPlot2 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot2.setRowHidden(0, false);\n assertEquals(1, resultMatrixGnuPlot2.getVisibleRowCount());\n \n resultMatrixSignificance0.getDefaultShowStdDev();\n resultMatrixSignificance0.headerKeys();\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n }", "@Test(timeout = 4000)\n public void test179() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(resultMatrixCSV0);\n resultMatrixCSV0.clearRanking();\n boolean boolean0 = resultMatrixCSV0.getShowStdDev();\n assertFalse(boolean0);\n \n resultMatrixCSV1.setEnumerateRowNames(false);\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n \n resultMatrixCSV0.getColOrder();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.setSignificance(1913, 844, 844);\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n }", "public void testStableRotations() {\n\n // Get a random point (x, y, z) and axis through (a, b, c).\n double x = getRandom();\n double y = getRandom();\n double z = getRandom();\n a = getRandom();\n b = getRandom();\n c = getRandom();\n u = getRandom();\n v = getRandom();\n w = getRandom();\n\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n double distAxis = rM.distanceFromAxis(x, y, z);\n double distPt2 = (a-x)(a-x) + (b-y)(b-y) + (c-z)(c-z);\n\n double[] result = null;\n double resultDistAxis;\n double resultDistPt2;\n for(int i=0; i<200; i++) {\n theta = getRandom()pi;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(x, y, z);\n resultDistAxis\n = rM.distanceFromAxis(result[0], result[1], result[2]);\n // Rotations shouldn't change the distance from the axis.\n assertEquals(distAxis, resultDistAxis, TOLERANCE);\n\n // Rotations shouldn't change the distance from a fixed\n // point (a, b, c) on the axis.\n resultDistPt2 = (a-result[0])(a-result[0])\n + (b-result[1])(b-result[1]) + (c-result[2])(c-result[2]);\n assertEquals(distPt2, resultDistPt2, TOLERANCE);\n }\n }", "@Test\n public void testBackwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.backwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void radarTriangleSet() {\n radar.loop();\n assertEquals(-42, virtualFunctionBus.radarVisualizationPacket.getSensorSource().getX());\n assertEquals(-80, virtualFunctionBus.radarVisualizationPacket.getSensorSource().getY());\n assertEquals(61, virtualFunctionBus.radarVisualizationPacket.getSensorCorner1().getX());\n assertEquals(-11446, virtualFunctionBus.radarVisualizationPacket.getSensorCorner1().getY());\n assertEquals(-9937, virtualFunctionBus.radarVisualizationPacket.getSensorCorner2().getX());\n assertEquals(-5673, virtualFunctionBus.radarVisualizationPacket.getSensorCorner2().getY());\n }", "@Test(timeout = 4000)\n public void test176() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixPlainText0);\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixPlainText0);\n resultMatrixCSV0.clearRanking();\n resultMatrixCSV0.getShowStdDev();\n resultMatrixCSV0.getColOrder();\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(5, resultMatrixCSV0.getCountWidth());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.setSignificance((-1), 2, 0);\n resultMatrixGnuPlot0.toStringRanking();\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n \n resultMatrixPlainText0.getDefaultPrintColNames();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n }", "public void testCompare2() throws Exception {\r\n ComponentCompetitionSituation situation = new ComponentCompetitionSituation();\r\n ComponentCompetitionPredictor predictor = new ComponentCompetitionPredictor();\r\n ComponentCompetitionFulfillmentPrediction prediction1 = new ComponentCompetitionFulfillmentPrediction(1.0D,\r\n situation, predictor);\r\n ComponentCompetitionFulfillmentPrediction prediction2 = new ComponentCompetitionFulfillmentPrediction(0.6D,\r\n situation, predictor);\r\n\r\n begin();\r\n\r\n for (int i = 0; i < TIMES; i++) {\r\n // predictions in range < predictions below the range\r\n int result = comparator.compare(prediction1, prediction2);\r\n // result should be < 0\r\n assertTrue(\"result of compare\", result < 0);\r\n }\r\n\r\n print(\"ComponentCompetitionFulfillmentPredictionPrizeComparator#compare\");\r\n }", "@Test(timeout = 4000)\n public void test167() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.showStdDevTipText();\n resultMatrixLatex0.getRevision();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n resultMatrixGnuPlot0.RIGHT_PARENTHESES = \")\";\n resultMatrixGnuPlot0.getDefaultRowNameWidth();\n int[] intArray0 = new int[7];\n intArray0[0] = 2;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 1;\n intArray0[4] = 0;\n intArray0[5] = 1;\n intArray0[6] = 2;\n resultMatrixLatex0.m_ColOrder = intArray0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n int[] intArray1 = new int[6];\n intArray1[0] = 0;\n intArray1[1] = 50;\n intArray1[2] = 50;\n intArray1[3] = 50;\n intArray1[4] = 2;\n intArray1[5] = 0;\n resultMatrixSignificance0.m_RankingLosses = intArray1;\n resultMatrixSignificance0.getDisplayName();\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n \n String string0 = resultMatrixLatex0.getSummaryTitle(0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"a\", string0);\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n }", "@Test\n\tpublic void test() {\n\t\tcar.setUpCar(model, brand, 150, 5);\n\t\tassertEquals(result, car.getBrandAndModel());\n\t}", "@Test\r\n public void CriterioUnidadSiCumple()\r\n {\r\n CriterioDeCorreccion criterio = new UnaDeCadaUnidadCriterioDeCorreccion();\r\n ExamenCorregido corregido = generarExamenCorregidoAprobado(criterio);\r\n \r\n assertTrue(criterio.cumple(corregido.getNotasPregunta()));\r\n assertEquals(corregido.getNota(), 4); \r\n }", "@Override\r\n public void ontTest( OntModel m ) throws Exception {\r\n Profile prof = m.getProfile();\r\n OntClass A = m.createClass( NS + \"A\" );\r\n Individual x = m.createIndividual( A );\r\n Individual y = m.createIndividual( A );\r\n Individual z = m.createIndividual( A );\r\n\r\n x.addSameAs( y );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n assertEquals( \"x should be the same as y\", y, x.getSameAs() );\r\n assertTrue( \"x should be the same as y\", x.isSameAs( y ) );\r\n\r\n x.addSameAs( z );\r\n assertEquals( \"Cardinality should be 2\", 2, x.getCardinality( prof.SAME_AS() ) );\r\n iteratorTest( x.listSameAs(), new Object[] {z,y} );\r\n\r\n x.setSameAs( z );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n assertEquals( \"x should be same indiv. as z\", z, x.getSameAs() );\r\n\r\n x.removeSameAs( y );\r\n assertEquals( \"Cardinality should be 1\", 1, x.getCardinality( prof.SAME_AS() ) );\r\n x.removeSameAs( z );\r\n assertEquals( \"Cardinality should be 0\", 0, x.getCardinality( prof.SAME_AS() ) );\r\n }", "@Test\n public void testProjectRolesChanges() {\n coiPerson.setContactRole(ContactRoleFixtureFactory.MOCK_KEY_PERSON);\n Assert.assertFalse(\"Key Person Role not checked for\", rule.checkForKeyPersonProjectRoles(award.getProjectPersons()));\n coiPerson.setKeyPersonRole(\"fromCOI\");\n Assert.assertTrue(\"Key Person Role not checked for\", rule.checkForKeyPersonProjectRoles(award.getProjectPersons()));\n \n // when a key person is changed to coi\n kpPerson.setContactRole(ContactRoleFixtureFactory.MOCK_COI);\n Assert.assertTrue(\"rule should return true\", rule.processSaveAwardProjectPersonsBusinessRules(award.getProjectPersons()));\n }", "@Test(timeout = 4000)\n public void test184() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n intArray0[1] = intArray2;\n int[] intArray3 = new int[0];\n intArray0[2] = intArray3;\n int[] intArray4 = new int[6];\n intArray4[1] = 0;\n intArray4[2] = 2;\n intArray4[3] = 0;\n resultMatrixGnuPlot0.getRevision();\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.toStringRanking();\n int int0 = resultMatrixSignificance0.getDisplayCol(2);\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\n assertEquals((-1), int0);\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n }", "@Test(timeout = 4000)\n public void test193() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(0, 1235);\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n resultMatrixGnuPlot0.toStringRanking();\n int[] intArray0 = new int[8];\n intArray0[0] = 0;\n intArray0[1] = 1;\n intArray0[2] = 1;\n resultMatrixSignificance0.LOSS_STRING = \"\";\n intArray0[3] = 0;\n intArray0[4] = 1235;\n intArray0[5] = 0;\n intArray0[6] = 2;\n intArray0[7] = 1;\n resultMatrixSignificance0.m_ColOrder = intArray0;\n resultMatrixGnuPlot0.colNameWidthTipText();\n resultMatrixGnuPlot0.getCount(0);\n resultMatrixSignificance0.m_RankingLosses = intArray0;\n resultMatrixGnuPlot0.getSignificance(0, 2);\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n \n resultMatrixGnuPlot0.setStdDevWidth(0);\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n }", "@Test(timeout = 4000)\n public void test101() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n Vector<Integer> vector0 = new Vector<Integer>();\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertNotNull(vector0);\n \n resultMatrixSignificance0.m_HeaderKeys = vector0;\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertTrue(resultMatrixSignificance0.m_HeaderKeys.isEmpty());\n assertEquals(\"[]\", resultMatrixSignificance0.m_HeaderKeys.toString());\n assertEquals(0, resultMatrixSignificance0.m_HeaderKeys.size());\n assertEquals(10, resultMatrixSignificance0.m_HeaderKeys.capacity());\n \n boolean boolean0 = vector0.add((Integer) 0);\n assertEquals(10, vector0.capacity());\n assertEquals(1, vector0.size());\n assertEquals(\"[0]\", vector0.toString());\n assertFalse(vector0.isEmpty());\n assertTrue(vector0.contains(0));\n assertTrue(boolean0);\n \n int int0 = resultMatrixSignificance0.getDefaultMeanWidth();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n \n String string0 = resultMatrixSignificance0.getRevision();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n resultMatrixSignificance0.setOptions((String[]) null);\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(618, 691);\n }", "@Test\n public void testMCMCWithoutAllelicPoN() {\n final double meanBiasSimulated = 1.2;\n final double biasVarianceSimulated = 0.04;\n testMCMC(meanBiasSimulated, biasVarianceSimulated, meanBiasSimulated, biasVarianceSimulated, AllelicPanelOfNormals.EMPTY_PON);\n }", "@Test\n void _correctThenCaseTest() {\n\n actionApply();\n\n for (ReceiverPair receiverPair : dependedReceiverPairs) {\n for (AssingablePair assingablePair : incompatibleAssignablePairs) {\n verify(model).arithm(receiverPair.getVariableDependentReceiver(), \"!=\", assingablePair.getIndexdependentAssignable());\n }\n }\n }", "public CorrelationHandlerResult correlateMessage(CommandContext commandContext, String messageName, CorrelationSet correlationSet);", "@Test\n public void consentsTest() {\n // TODO: test consents\n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixPlainText0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[2];\n stringArray0[0] = \")\";\n resultMatrixSignificance0.m_EnumerateRowNames = true;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n stringArray0[1] = \"5GOL?NR}\";\n resultMatrixPlainText0.setOptions(stringArray0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, stringArray0.length);\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"a\", string0);\n \n int[][] intArray0 = new int[3][8];\n int[] intArray1 = new int[3];\n intArray1[0] = 2;\n intArray1[1] = 1;\n intArray1[2] = 2;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[3];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 2;\n intArray2[1] = 1;\n intArray2[2] = 1;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[6];\n assertFalse(intArray3.equals((Object)intArray2));\n assertFalse(intArray3.equals((Object)intArray1));\n \n intArray3[0] = 1;\n intArray3[1] = 1;\n intArray3[2] = 1;\n intArray3[3] = 0;\n intArray3[4] = 2;\n intArray3[5] = 2;\n intArray0[2] = intArray3;\n resultMatrixSignificance0.m_Significance = intArray0;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n boolean boolean0 = resultMatrixPlainText0.isSignificance((-2));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int int0 = resultMatrixPlainText0.getDefaultRowNameWidth();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(25, int0);\n \n resultMatrixPlainText0.setMean(2, 25, 0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string1 = resultMatrixSignificance0.toStringSummary();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n }", "@Test(timeout = 4000)\n public void test174() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV();\n Vector<String> vector0 = new Vector<String>();\n resultMatrixCSV1.m_HeaderValues = vector0;\n assertFalse(resultMatrixCSV1.getShowStdDev());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n resultMatrixSignificance0.getSignificance(44, 2967);\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n }", "@Test\n\tpublic void testCellularAutomaton() {\n\t\t//Test update() function\n\t\t//Expect result\n\t\t//result1 = new int[][] {{auto.NONE, auto.PREDATOR, auto.PREDATOR},{auto.PREDATOR, auto.PREDATOR, auto.PREDATOR},{auto.PREY, auto.PREY, auto.PREY}};\n\t\t\n\t\t//use update() function\n\t\t//auto.update(autoGrid, auto.PREY, auto.PREDATOR, auto.preyProb);\n\t\t//result2 = auto.getGrid();\n\t\t\n\t\t//Compare each elements...\n\t\t/for (int i = 0; i < 3; i++) {\n\t\t\tfor (int j = 0; j < 3; j++) {\n\t\t\t\tassertTrue(result1[i][j]==result2[i][j]);\n\t\t\t}\n\t\t}/\n\t\t\n\t\t\n\t\t/*\n\t\t Test step() function\n\t\t /\n\t\t//Expect result\n\t\tresult3 = new int[][] {{auto.NONE, auto.PREDATOR, auto.PREY},{auto.PREDATOR, auto.PREDATOR, auto.PREDATOR},{auto.PREY, auto.PREY, auto.PREY}};\n\t\t\n\t\t//set grid as the preset autoGrid\n\t\tauto.setGrid(autoGrid);\n\t\tauto.step();\n\t\t\n\t\t//get the real actual result\n\t\tresult4 = auto.getGrid();\n\t\t\n\t\t//Compare each elements...\n\t\tfor (int i = 0; i < 3; i++) {\n\t\t\tfor (int j = 0; j < 3; j++) {\n\t\t\t\tassertTrue(result3[i][j]==result4[i][j]);\n\t\t\t}\n\t\t}\n\t}", "Chromosome fittestChromosome();", "public static void demo_SimilarityMetrics(RoWordNet RoWN, String textCorpus_FilePath) throws Exception {\n boolean allowAllRelations = true;\n\n Literal l1 = new Literal(\"salvare\");\n Literal l2 = new Literal(\"dotare\");\n String id1 = RoWN.getSynsetsFromLiteral(l1).get(0).getId();\n String id2 = RoWN.getSynsetsFromLiteral(l2).get(0).getId();\n Synset s1, s2;\n\n s1 = RoWN.getSynsetById(id1);\n s2 = RoWN.getSynsetById(id2);\n\n IO.outln(\"Computed IC for synset_1: \" + s1.getInformationContent());\n IO.outln(\"Computed IC for synset_2: \" + s2.getInformationContent());\n IO.outln(\"Custom distance: \" + SimilarityMetrics.distance(RoWN, s1\n .getId(), s2.getId(), true, null));\n IO.outln(\"Custom hypernymy distance: \" + SimilarityMetrics\n .distance(RoWN, s1.getId(), s2.getId()));\n\n IO.outln(\"Sim Resnik: \" + SimilarityMetrics.Resnik(RoWN, s1.getId(), s2\n .getId(), allowAllRelations));\n IO.outln(\"Sim Lin: \" + SimilarityMetrics.Lin(RoWN, s1.getId(), s2\n .getId(), allowAllRelations));\n IO.outln(\"Sim JCN: \" + SimilarityMetrics.JiangConrath(RoWN, s1.getId(), s2\n .getId(), allowAllRelations));\n IO.outln(\"Dist JCN: \" + SimilarityMetrics\n .JiangConrath_distance(RoWN, s1.getId(), s2.getId(), allowAllRelations));\n }", "@Test\n void solvesExample() {\n RottenOranges rottenOranges = new RottenOranges();\n int[][] grid = new int[][] {{2,1,1},{1,1,0},{0,1,1}};\n assertThat(rottenOranges.orangesRotting(grid)).isEqualTo(4);\n }", "public void testXYLineRotation() {\n b = 1; // A line along y=1 and z=0.\n u = 1;\n theta = 2pi;\n double[] point = new double[] {1, 2, 0};\n RotationMatrix rM = new RotationMatrix(a, b, c, u, v, w, theta);\n double[] result = rM.timesXYZ(point);\n double[] expect = new double[] {1, 2, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(expect[i], result[i], TOLERANCE);\n }\n\n theta = pi;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n //rM.logMatrix();\n result = rM.timesXYZ(point);\n expect = new double[] {1, 0, 0, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = pi/2;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n //rM.logMatrix();\n result = rM.timesXYZ(point);\n expect = new double[] {1, 1, 1, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = -pi/2;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(point);\n expect = new double[] {1, 1, -1, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n\n theta = pi/4;\n rM = new RotationMatrix(a, b, c, u, v, w, theta);\n result = rM.timesXYZ(point);\n expect = new double[] {1, 1+Math.sqrt(2)/2, Math.sqrt(2)/2, 1};\n for(int i=0; i<result.length; i++) {\n assertEquals(\"coord: \"+i, expect[i], result[i], TOLERANCE);\n }\n }", "private Mat getCornerMat(Mat source, boolean detectGlare) {\n MatOfPoint2f approxCurve = findBoundingBox(source, detectGlare);\n if (approxCurve == null) {\n return null;\n }\n\n List<Point> points = new ArrayList<>();\n for(int i = 0; i < NUM_CORNERS; i++) {\n double[] coordinates = approxCurve.get(i,0);\n Point p = new Point(coordinates[0], coordinates[1]);\n points.add(p);\n }\n\n return createOrderedCornerMat(points);\n }", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test145() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(637, 0);\n resultMatrixGnuPlot0.toStringSummary();\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n resultMatrixPlainText0.globalInfo();\n int[] intArray0 = new int[0];\n resultMatrixGnuPlot0.setColOrder(intArray0);\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV();\n resultMatrixCSV2.setShowAverage(true);\n resultMatrixCSV1.getRevision();\n resultMatrixCSV0.clear();\n resultMatrixCSV2.globalInfo();\n resultMatrixCSV0.setEnumerateRowNames(true);\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixCSV0);\n resultMatrixSignificance0.setColHidden(0, false);\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n resultMatrixSignificance1.getVisibleColCount();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n boolean boolean0 = resultMatrixCSV1.getPrintRowNames();\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertTrue(boolean0);\n }", "@Override\n public void calculateCorrection(Time currentTime, Coordinates approximatedPose, SatellitePosition satelliteCoordinates, NavigationIono navigationIono) {\n approximatedPose.computeGeodetic();\n\n // Get the user's height\n double height = approximatedPose.getGeodeticHeight();\n\n // Compute the elevation and azimuth angles for each satellite\n TopocentricCoordinates topo = new TopocentricCoordinates();\n topo.computeTopocentric(approximatedPose, satelliteCoordinates);\n\n // Assign the elevation information to a new variable\n double elevation = topo.getElevation();\n\n double tropoCorr = 0;\n\n if (height > 5000)\n return;\n\n elevation = Math.toRadians(Math.abs(elevation));\n if (elevation == 0){\n elevation = elevation + 0.01;\n }\n\n // Numerical constants and tables for Saastamoinen algorithm\n // (troposphere correction)\n final double hr = 50.0;\n final int[] ha = {0, 500, 1000, 1500, 2000, 2500, 3000, 4000, 5000 };\n final double[] ba = { 1.156, 1.079, 1.006, 0.938, 0.874, 0.813, 0.757, 0.654, 0.563 };\n\n // Saastamoinen algorithm\n double P = Constants.STANDARD_PRESSURE * Math.pow((1 - 0.0000226 * height), 5.225);\n double T = Constants.STANDARD_TEMPERATURE - 0.0065 * height;\n double H = hr * Math.exp(-0.0006396 * height);\n\n // If height is below zero, keep the maximum correction value\n double B = ba[0];\n // Otherwise, interpolate the tables\n if (height >= 0) {\n int i = 1;\n while (height > ha[i]) {\n i++;\n }\n double m = (ba[i] - ba[i - 1]) / (ha[i] - ha[i - 1]);\n B = ba[i - 1] + m * (height - ha[i - 1]);\n }\n\n double e = 0.01\n * H\n * Math.exp(-37.2465 + 0.213166 * T - 0.000256908\n * Math.pow(T, 2));\n\n tropoCorr = ((0.002277 / Math.sin(elevation))\n * (P - (B / Math.pow(Math.tan(elevation), 2))) + (0.002277 / Math.sin(elevation))\n * (1255 / T + 0.05) * e);\n\n correctionValue = tropoCorr;\n\n }", "@Test(timeout = 4000)\n public void test031() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixSignificance0.getRowName((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.m_StdDev = null;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n \n String string1 = resultMatrixSignificance0.getDisplayName();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Significance only\", string1);\n \n double double0 = resultMatrixSignificance0.getAverage((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixPlainText resultMatrixPlainText0 = null;\n try {\n resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "public void testTractComposition() {\n\n\tDT_TractographyImage linear = Images.getLinear();\n\n\tFibreTracker tracker = getTracker(linear);\n\t\n\tTractCollection tc = tracker.trackFromSeed(new Point3D(1.5 * Images.xVoxelDim, 0.5 * Images.yVoxelDim, 0.5 * Images.zVoxelDim));\n \n\tassertEquals(1, tc.numberOfTracts());\n\n\tTract t = tc.getTract(0);\n\n\tassertEquals(5, t.numberOfPoints());\n \n boolean[] hitVoxel = new boolean[5];\n\n for (int i = 0; i < 5; i++) {\n\n Point3D p = t.getPoint(i);\n\n int vox = (int)(p.x / linear.xVoxelDim());\n\n hitVoxel[vox] = true;\n }\n\n for (int i = 0; i < 5; i++) {\n assertTrue(\"Tract did not intersect all voxels\", hitVoxel[i]);\n }\n\n }" ]	[ "0.679053", "0.66915673", "0.651345", "0.6210462", "0.5937084", "0.5927249", "0.5823158", "0.57037723", "0.56221074", "0.5534309", "0.5517464", "0.54602104", "0.54272336", "0.5329693", "0.5315985", "0.52944535", "0.5286221", "0.5273603", "0.5234745", "0.52177113", "0.5198266", "0.5175132", "0.5161504", "0.5140362", "0.51220924", "0.5058322", "0.5047275", "0.5031372", "0.5026604", "0.50221986", "0.5017728", "0.5000033", "0.49998343", "0.49719974", "0.49589738", "0.4953979", "0.49514285", "0.49394095", "0.4939246", "0.49270773", "0.49269757", "0.4924112", "0.4923093", "0.49082485", "0.48990008", "0.4894277", "0.48897856", "0.48726973", "0.4840799", "0.48406652", "0.48403904", "0.48371634", "0.4828119", "0.48281083", "0.4825834", "0.48186183", "0.48162624", "0.47960708", "0.47779799", "0.47727838", "0.47602463", "0.4759323", "0.47564325", "0.4748717", "0.47452113", "0.47415444", "0.47399613", "0.4736688", "0.47362056", "0.4721506", "0.47208676", "0.4713373", "0.47115427", "0.4710797", "0.4701152", "0.46931756", "0.46872053", "0.46769693", "0.46607804", "0.46569932", "0.46396464", "0.46381572", "0.46362606", "0.462985", "0.46266818", "0.46262795", "0.46245056", "0.461889", "0.4618237", "0.46113402", "0.4607439", "0.46037397", "0.4593606", "0.4592213", "0.45911032", "0.45889032", "0.45762664", "0.45697895", "0.45686704", "0.4559394" ]	0.86729217	0
Test of perturbationExpectation method, of class MarkovModelUtilities.	@Test public void testPerturbationExpectation() { IDoubleArray M = null; IDoubleArray pi0 = null; IDoubleArray observable = null; IDoubleArray timepoints = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.perturbationExpectation(M, pi0, observable, timepoints); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testFingerprintPerturbation()\n {\n IDoubleArray M = null;\n IDoubleArray p0 = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintPerturbation(M, p0, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testCalcProbTheta() throws Exception {\n\n double guessProb1 = ItemResponseTheory.calcProbTheta(c, lambda, theta1, alpha1);\n double guessProb2 = ItemResponseTheory.calcProbTheta(c, lambda, theta2, alpha1);\n double guessProb3 = ItemResponseTheory.calcProbTheta(c, lambda, theta3, alpha1);\n double guessProb4 = ItemResponseTheory.calcProbTheta(c, lambda, theta4, alpha1);\n double guessProb5 = ItemResponseTheory.calcProbTheta(c, lambda, theta5, alpha1);\n double guessProb6 = ItemResponseTheory.calcProbTheta(c, lambda, theta6, alpha1);\n double guessProb7 = ItemResponseTheory.calcProbTheta(c, lambda, theta7, alpha1);\n\n double ans1 = 0.2;\n double ans2 = 0.21;\n double ans3 = 0.23;\n double ans4 = 0.3;\n double ans5 = 0.47;\n double ans6 = 0.73;\n double ans7 = 0.9;\n\n double tolerance = 0.005;\n\n assertTrue(\"Prob(theta1)\", Math.abs(guessProb1 - ans1)< tolerance);\n assertTrue(\"Prob(theta2)\", Math.abs(guessProb2 - ans2) < tolerance);\n assertTrue(\"Prob(theta3)\", Math.abs(guessProb3 - ans3) < tolerance);\n assertTrue(\"Prob(theta4)\", Math.abs(guessProb4 - ans4) < tolerance);\n assertTrue(\"Prob(theta5)\", Math.abs(guessProb5 - ans5) < tolerance);\n assertTrue(\"Prob(theta6)\", Math.abs(guessProb6 - ans6) < tolerance);\n assertTrue(\"Prob(theta7)\", Math.abs(guessProb7 - ans7) < tolerance);\n\n }", "public void calculateProbabilities(){\n\t}", "private void evaluateProbabilities()\n\t{\n\t}", "double getTransProb();", "protected abstract void assertExpectations(Set<Expectation> expectations);", "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public double calculateExpectedDisagreement();", "@Test\n public void testFingerprintAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintAutocorrelation(M, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testPercentages(){\n assertTrue(Results.percentages());\n }", "@Override\n public boolean applyPerturbation(double param){\n //The parameter need to be an integer less than templateCoord.length\n\n if( param == 0 ){\n curParam = 0;\n return true;\n }\n\n boolean outcome = doPerturbationMotion(param);\n\n if(outcome)\n curParam = param;\n else\n curParam=0;\n\n return outcome;\n\n }", "public void test1_4DiffusionAndDensity() throws Exception {\n getReverb(0);\n try {\n short ratio = mReverb.getDiffusion();\n ratio = (short)((ratio == 500) ? 1000 : 500);\n mReverb.setDiffusion(ratio);\n short ratio2 = mReverb.getDiffusion();\n assertTrue(\"got incorrect diffusion\",\n ((float)ratio2 > (float)(ratio / RATIO_TOLERANCE)) &&\n ((float)ratio2 < (float)(ratio * RATIO_TOLERANCE)));\n\n ratio = mReverb.getDensity();\n ratio = (short)((ratio == 500) ? 1000 : 500);\n mReverb.setDensity(ratio);\n ratio2 = mReverb.getDensity();\n assertTrue(\"got incorrect density\",\n ((float)ratio2 > (float)(ratio / RATIO_TOLERANCE)) &&\n ((float)ratio2 < (float)(ratio * RATIO_TOLERANCE)));\n\n } catch (IllegalArgumentException e) {\n fail(\"Bad parameter value\");\n } catch (UnsupportedOperationException e) {\n fail(\"get parameter() rejected\");\n } catch (IllegalStateException e) {\n fail(\"get parameter() called in wrong state\");\n } finally {\n releaseReverb();\n }\n }", "@Test\n public void testBackwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.backwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n\tpublic void calculMetricInferiorTeacherWithLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(10f, 1f), 12f, 15f), new Float(1));\r\n\t}", "public Observation getExpectationObservation(){\r\n\t\treturn expectations;\r\n\t}", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public boolean doEstimate(Node node, double[] result) {\r\n makeVector(node,tmpVector);\r\n try\r\n {\r\n double[] dist = classifier.distributionForInstance(testInstance);\r\n System.arraycopy(dist,0,result,0,dist.length);\r\n }\r\n catch(Exception e)\r\n {\r\n throw new RuntimeException(\"failed to estimate distribution for given node\",e);\r\n }\r\n return true;\r\n }", "public double empiricalExpectation()\n\t{\n\t\treturn _dblEmpiricalExpectation;\n\t}", "private double assertApproximation(IApproximator approx) {\r\n double a = approx.approximate(param);\r\n Assert.assertTrue(\"Not \" + minExpected + \"<=\" + a + \"<=\" + maxExpected + \" for \" + param, \r\n minExpected <= a && a <= maxExpected);\r\n return a;\r\n }", "@Test\n public void testFingerprintCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintCorrelation(M, observable1, observable2);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void assertExpectations() {\n\t\tassertExpectations(this.expectations);\n\t}", "@Test\n public void testFitnessProportionateSelection()\n {\n }", "@Test(timeout = 4000)\n public void test04() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n NaiveBayesMultinomialText naiveBayesMultinomialText1 = (NaiveBayesMultinomialText)AbstractClassifier.makeCopy(naiveBayesMultinomialText0);\n naiveBayesMultinomialText1.m_wordFrequencies = true;\n boolean boolean0 = naiveBayesMultinomialText1.getUseWordFrequencies();\n assertTrue(naiveBayesMultinomialText1.getUseWordFrequencies());\n assertTrue(boolean0);\n }", "public static void testMultimensionalOutput() {\n\t\tint vectSize = 8;\n\t\tint outputsPerInput = 10;\n\t\tdouble repeatProb = 0.8;\n\t\tdouble inpRemovalPct = 0.8;\n\t\tCollection<DataPoint> data = createMultidimensionalCorrSamples(vectSize, outputsPerInput, inpRemovalPct);\n//\t\tCollection<DataPoint> data = createMultidimensionalSamples(vectSize, outputsPerInput, repeatProb);\n\n\t\tModelLearner modeler = createModelLearner(vectSize, data);\n\t\tint numRuns = 100;\n\t\tint jointAdjustments = 18;\n\t\tdouble skewFactor = 0;\n\t\tdouble cutoffProb = 0.1;\n\t\tDecisionProcess decisioner = new DecisionProcess(modeler, null, 1, numRuns,\n\t\t\t\t0, skewFactor, 0, cutoffProb);\n\t\tDecisionProcess decisionerJ = new DecisionProcess(modeler, null, 1, numRuns,\n\t\t\t\tjointAdjustments, skewFactor, 0, cutoffProb);\n\t\t\n\t\tSet<DiscreteState> inputs = getInputSetFromSamples(data);\n\t\tArrayList<Double> realV = new ArrayList<Double>();\n\t\tArrayList<Double> predV = new ArrayList<Double>();\n\t\tArrayList<Double> predJV = new ArrayList<Double>();\n\t\tfor (DiscreteState input : inputs) {\n\t\t\tSystem.out.println(\"S\" + input);\n\t\t\tMap<DiscreteState, Double> outProbs = getRealOutputProbsForInput(input, data);\n\t\t\tMap<DiscreteState,Double> preds = countToFreqMap(decisioner\n\t\t\t\t\t.getImmediateStateGraphForActionGibbs(input.getRawState(), new double[] {}));\n\t\t\tMap<DiscreteState,Double> predsJ = countToFreqMap(decisionerJ\n\t\t\t\t\t.getImmediateStateGraphForActionGibbs(input.getRawState(), new double[] {}));\n\t\t\tSet<DiscreteState> outputs = new HashSet<DiscreteState>();\n\t\t\toutputs.addAll(outProbs.keySet());\n\t\t\toutputs.addAll(preds.keySet());\n\t\t\toutputs.addAll(predsJ.keySet());\n\t\t\tfor (DiscreteState output : outputs) {\n\t\t\t\tDouble realD = outProbs.get(output);\n\t\t\t\tDouble predD = preds.get(output);\n\t\t\t\tDouble predJD = predsJ.get(output);\n\t\t\t\tdouble real = (realD != null ? realD : 0);\n\t\t\t\tdouble pred = (predD != null ? predD : 0);\n\t\t\t\tdouble predJ = (predJD != null ? predJD : 0);\n\t\t\t\trealV.add(real);\n\t\t\t\tpredV.add(pred);\n\t\t\t\tpredJV.add(predJ);\n\t\t\t\tSystem.out.println(\"\tS'\" + output + \"\t\" + real + \"\t\" + pred + \"\t\" + predJ);\n\t\t\t}\n\t\t}\n\t\tSystem.out.println(\"CORR:\t\" + Utils.correlation(realV, predV)\n\t\t\t\t+ \"\t\" + Utils.correlation(realV, predJV));\n\t}", "public double getInstanceReward(Instance selectedInstance, boolean doBernoulliRewards, boolean isTrainingInstance, boolean verbose)\n {\n double[] probDist = classifyInstance(selectedInstance, false); \n \n //Determine Expected Reward from the returned Probability Distribution\n //Note that the following 5-point Likert scale was used\n //1 - Extremely unchallenging for me\n //2 - Somewhat unchallenging for me\n //3 - Appropriately challenging for me\n //4 - Somewhat challenging for me\n //5 - Extremely challenging for me\n double[] rewardsPerClass = new double[]{0, 1d/3d, 1, 1d/3d, 0}; //rewards per class as defined in paper, section 4.2 Phase 1.\n double expectedReward = (probDist[0] * rewardsPerClass[0]) +\n (probDist[1] * rewardsPerClass[1]) +\n (probDist[2] * rewardsPerClass[2]) +\n (probDist[3] * rewardsPerClass[3]) +\n (probDist[4] * rewardsPerClass[4]);\n \n if (verbose) {\n System.out.println(\"\");\n System.out.println(\"getInstanceReward called()...\");\n System.out.println(\"-probability of instance being class 1: \" + probDist[0]);\n System.out.println(\"-probability of instance being class 2: \" + probDist[1]);\n System.out.println(\"-probability of instance being class 3: \" + probDist[2]);\n System.out.println(\"-probability of instance being class 4: \" + probDist[3]);\n System.out.println(\"-probability of instance being class 5: \" + probDist[4]);\n System.out.println(\"-the expected reward for this level segment was determined to be: \" + expectedReward );\n System.out.println(\"-done\");\n }\n \n// //Determine rewards according to Bernoulli scheme / proportional reward\n// double reward = 0.0;\n// if (doBernoulliRewards) {\n// if (verbose) System.out.println(\"-returning reward of 1 with probablity of \" + probChallenging + \", else reward of 0 (Bernoulli rewards)\");\n// boolean returnBernoulliReward;\n// if ( Math.random() <= probChallenging ) returnBernoulliReward = true;\n// else returnBernoulliReward = false;\n// if (verbose) System.out.println(\"-boolean returnBernoulliReward: \" + returnBernoulliReward);\n// if (returnBernoulliReward) reward = 1.0;\n// else reward = 0.0; \n// }\n// else {\n// if (verbose) System.out.println(\"-returning reward \" + probChallenging + \" (regular non-Bernoulli rewards)\");\n// reward = probChallenging;\n// }\n// if (verbose) System.out.println(\"-done\");\n \n return expectedReward;\n }", "@Test\n public void testStationaryDistribution()\n {\n try\n {\n IDoubleArray T = Doubles.create.fromFile(inputT1);\n IDoubleArray expResult = Doubles.create.fromFile(inputT1_pi); \n IDoubleArray pi = MarkovModel.util.stationaryDistribution(T);\n assertEqual(pi, expResult, 1e-5);\n }\n catch(IOException e)\n {\n \n e.printStackTrace();\n }\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "@Test\n public void makeAndRetrievePbaPaymentsByProbate() {\n String accountNumber = testProps.existingAccountNumber;\n CreditAccountPaymentRequest accountPaymentRequest = PaymentFixture.aPbaPaymentRequestForProbate(\"90.00\",\n \"PROBATE\",accountNumber);\n accountPaymentRequest.setAccountNumber(accountNumber);\n PaymentDto paymentDto = paymentTestService.postPbaPayment(USER_TOKEN, SERVICE_TOKEN, accountPaymentRequest).then()\n .statusCode(CREATED.value()).body(\"status\", equalTo(\"Success\")).extract().as(PaymentDto.class);\n\n assertTrue(paymentDto.getReference().startsWith(\"RC-\"));\n\n // Get pba payment by reference\n PaymentDto paymentsResponse =\n paymentTestService.getPbaPayment(USER_TOKEN, SERVICE_TOKEN, paymentDto.getReference()).then()\n .statusCode(OK.value()).extract().as(PaymentDto.class);\n\n assertThat(paymentsResponse.getAccountNumber()).isEqualTo(accountNumber);\n\n // delete payment record\n paymentTestService.deletePayment(USER_TOKEN, SERVICE_TOKEN, paymentDto.getReference()).then().statusCode(NO_CONTENT.value());\n\n }", "@Test\n public void shouldCalculateProperMoveProbabilities() throws Exception {\n\n int actualCity = 0;\n boolean[] visited = new boolean[] {true, false, false, false};\n int[][] firstCriterium = new int[][] {{0, 2, 1, 2},\n {2, 2, 1, 1},\n {1, 1, 0, 1},\n {2, 1, 1, 0}};\n int[][] secondCriterium = new int[][] {{0, 3, 2, 1},\n {3, 0, 0, 0},\n {2, 0, 0, 0},\n {1, 0, 0, 0}};\n// final AttractivenessCalculator attractivenessCalculator = new AttractivenessCalculator(1.0, 0.0, 0.0, 0.0, 0.0);\n// double[][] array = new double[0][0];\n// final double[] probabilities = attractivenessCalculator.movesProbability(actualCity, visited, array, firstCriterium, secondCriterium, null, 0.0, 0.0);\n\n// assertTrue(probabilities[0] == 0.0);\n// assertTrue(probabilities[1] == 0.0);\n// assertTrue(probabilities[2] == 0.5);\n// assertTrue(probabilities[3] == 0.5);\n }", "@Test\n public void testCalcMedAmount() {\n \n //Test case 1\n \n System.out.println(\"calcMedAmount Test Case 1 - Dose is correct\");\n \n //Input Values for Test Case 1\n \n double weightInPounds = 100;\n double numberOfPills = 1;\n \n AntidoteControl instance = new AntidoteControl();\n \n double expResult = 227;\n double result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 2\n \n System.out.println(\"calcMedAmount Test Case 2 Invalid weight\");\n \n //Input Values for Test Case 2\n \n weightInPounds = 0;\n numberOfPills = 1;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = -1;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 3\n \n System.out.println(\"calcMedAmount Test Case 3 Underdose\");\n \n //Input Values for Test Case 3\n \n weightInPounds = 10001;\n numberOfPills = 0;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = -2;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n \n \n //Test case 4\n \n System.out.println(\"calcMedAmount Test Case 4 Overdose\");\n \n //Input Values for Test Case 4\n \n weightInPounds = 100;\n numberOfPills = 4;\n \n // AntidoteControl instance = new AntidoteControl();\n \n expResult = 227;\n result = AntidoteControl.calcMedAmount(weightInPounds);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "public static void enterFixtureOutcome()\n\t{\n\t}", "@Test\n public void should_ReturnTrue_When_DietRecommended(){\n double weight = 100.0;\n double height = 1.70;\n //when\n boolean recommended = BMICalculator.isDietRecommended(weight,height);\n //then\n assertTrue(recommended);\n }", "float getSpecialProb();", "public BayesIm estimate(BayesPm bayesPm, DataSet dataSet) {\n if (bayesPm == null) {\n throw new NullPointerException();\n }\n\n if (dataSet == null) {\n throw new NullPointerException();\n }\n\n// if (DataUtils.containsMissingValue(dataSet)) {\n// throw new IllegalArgumentException(\"Please remove or impute missing values.\");\n// }\n\n // Make sure all of the variables in the PM are in the data set;\n // otherwise, estimation is impossible.\n BayesUtils.ensureVarsInData(bayesPm.getVariables(), dataSet);\n\n // Create a new Bayes IM to store the estimated values.\n BayesIm estimatedIm = new MlBayesIm(bayesPm);\n\n // Create a subset of the data set with the variables of the IM, in\n // the order of the IM.\n List<Node> variables = estimatedIm.getVariables();\n DataSet columnDataSet2 = dataSet.subsetColumns(variables);\n this.reorderedDataSetDiscrete = columnDataSet2;\n DiscreteProbs discreteProbs = new DataSetProbs(columnDataSet2);\n\n // We will use the same estimation methods as the updaters, to ensure\n // compatibility.\n Proposition assertion = Proposition.tautology(estimatedIm);\n Proposition condition = Proposition.tautology(estimatedIm);\n Evidence evidence2 = Evidence.tautology(estimatedIm);\n\n int numNodes = estimatedIm.getNumNodes();\n\n for (int node = 0; node < numNodes; node++) {\n int numRows = estimatedIm.getNumRows(node);\n int numCols = estimatedIm.getNumColumns(node);\n int[] parents = estimatedIm.getParents(node);\n\n for (int row = 0; row < numRows; row++) {\n int[] parentValues = estimatedIm.getParentValues(node, row);\n\n for (int col = 0; col < numCols; col++) {\n\n // Remove values from the proposition in various ways; if\n // a combination exists in the end, calculate a contitional\n // probability.\n assertion.setToTautology();\n condition.setToTautology();\n\n for (int i = 0; i < numNodes; i++) {\n for (int j = 0; j < evidence2.getNumCategories(i); j++) {\n if (!evidence2.getProposition().isAllowed(i, j)) {\n condition.removeCategory(i, j);\n }\n }\n }\n\n assertion.disallowComplement(node, col);\n\n for (int k = 0; k < parents.length; k++) {\n condition.disallowComplement(parents[k], parentValues[k]);\n }\n\n if (condition.existsCombination()) {\n double p = discreteProbs.getConditionalProb(assertion, condition);\n estimatedIm.setProbability(node, row, col, p);\n } else {\n estimatedIm.setProbability(node, row, col, Double.NaN);\n }\n }\n }\n }\n\n return estimatedIm;\n }", "@Test\n public void testIsFalling() {\n // Setup\n\n // Run the test\n modelUnderTest.isFalling();\n\n // Verify the results\n }", "public void testGetPercentToSample()\n {\n this.testSetPercentToSample();\n }", "public void testPAUMChunkLearnng() throws IOException, GateException {\n // Initialisation\n System.out.print(\"Testing the PAUM method on chunk learning...\");\n File chunklearningHome = new File(new File(learningHome, \"test\"),\n \"chunklearning\");\n String configFileURL = new File(chunklearningHome,\n \"engines-paum.xml\").getAbsolutePath();\n String corpusDirName = new File(chunklearningHome, \"data-ontonews\")\n .getAbsolutePath();\n //Remove the label list file, feature list file and chunk length files.\n String wdResults = new File(chunklearningHome,\n ConstantParameters.SUBDIRFORRESULTS).getAbsolutePath();\n emptySavedFiles(wdResults);\n String inputASN = \"Key\";\n loadSettings(configFileURL, corpusDirName, inputASN, inputASN);\n // Set the evaluation mode\n RunMode runM=RunMode.EVALUATION;\n learningApi.setLearningMode(runM);\n controller.execute();\n // Using the evaluation mode for testing\n EvaluationBasedOnDocs evaluation = learningApi.getEvaluation();\n // Compare the overall results with the correct numbers\n /assertEquals(evaluation.macroMeasuresOfResults.correct, 3);\n assertEquals(evaluation.macroMeasuresOfResults.partialCor, 1);\n assertEquals(evaluation.macroMeasuresOfResults.spurious, 19);\n assertEquals(evaluation.macroMeasuresOfResults.missing, 68);/\n assertEquals(\"Wrong value for correct: \", 52, (int)Math.floor(evaluation.macroMeasuresOfResults.correct));\n assertEquals(\"Wrong value for partial: \", 12, (int)Math.floor(evaluation.macroMeasuresOfResults.partialCor));\n assertEquals(\"Wrong value for spurious: \", 24, (int)Math.floor(evaluation.macroMeasuresOfResults.spurious));\n assertEquals(\"Wrong value for missing: \", 30, (int)Math.floor(evaluation.macroMeasuresOfResults.missing));\n // Remove the resources\n clearOneTest();\n System.out.println(\"completed\");\n }", "@Test\n public void testLogLikelihood()\n {\n IDoubleArray T = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihood(T, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\r\n\tpublic void testAllMarkupsPharm() throws BasePriceMustBePositiveException, \r\n\t NegativePersonCountException, ProductCategoryNotSpecifiedException {\r\n\t\tNuPackEstimator estimator = new NuPackEstimator(new BigDecimal(\"100\"), 5, \"pharmaceuticals\");\r\n\t assertEquals(estimator.estimateFinalCost(), new BigDecimal(\"119.18\"));\r\n\t}", "@Test\n\tvoid testCalculateMarkTillSemesterSuccess2() {\n\t\t\n\t\tString semesterName = \"20193\";\n\t\t\n\t\tUser user = userService.findByUsername(\"B16DCCN168\");\n\t\tStudent student = user.getStudent();\n\t\tList<StudentResult> resultsTillSemester = resultService.findResultTillSemester(student.getId(),\n\t\t\t\tsemesterName);\n\t\t\n\t\tString mmtMark = \"\", tthcmMark = \"\";\n\t\t\n\t\tfor (StudentResult result : resultsTillSemester) {\n\t\t\tSubject subject = result.getStudentRegister().getCourse().getSubject();\n\t\t\tif (subject.getName().equals(\"Mạng máy tính\")) {\n\t\t\t\tmmtMark = result.getMarkToChar();\n\t\t\t}\n\t\t\t\n\t\t\tif (subject.getName().equals(\"Tư tưởng Hồ Chí Minh\")) {\n\t\t\t\ttthcmMark = result.getMarkToChar();\n\t\t\t}\n\t\t}\n\t\t\n\t\tList<Object> listGpaResultsTillNow = MarkUtility.calculateMarkTillSemester(resultsTillSemester);\n\t\tint passedCreditsTillNow = (int) listGpaResultsTillNow.get(0);\n\t\tfloat gpaTillNow = (float) listGpaResultsTillNow.get(1);\n\t\t\n\t\tDecimalFormat df = new DecimalFormat(\"#.##\");\n\t\t\n\t\tassertTrue(\n\t\t\t\tmmtMark.equals(\"B\") &&\n\t\t\t\ttthcmMark.equals(\"A\") &&\n\t\t\t\tpassedCreditsTillNow == 15 &&\n\t\t\t\tdf.format(gpaTillNow).equals(\"3.64\")\n\t\t\t\t);\n\t}", "@Override\n\tpublic double getRealMathExpectation() {\n\t\treturn 0;\n\t}", "@Test\n public void makeAndRetrievePbaPaymentsByProbateForSuccessLiberataValidation() {\n String accountNumber = testProps.existingAccountNumber;\n CreditAccountPaymentRequest accountPaymentRequest = PaymentFixture\n .aPbaPaymentRequestForProbateForSuccessLiberataValidation(\"215.00\", \"PROBATE\");\n accountPaymentRequest.setAccountNumber(accountNumber);\n PaymentDto paymentDto = paymentTestService.postPbaPayment(USER_TOKEN, SERVICE_TOKEN, accountPaymentRequest).then()\n .statusCode(CREATED.value()).body(\"status\", equalTo(\"Success\")).extract().as(PaymentDto.class);\n\n // Get pba payment by reference\n PaymentDto paymentsResponse =\n paymentTestService.getPbaPayment(USER_TOKEN, SERVICE_TOKEN, paymentDto.getReference()).then()\n .statusCode(OK.value()).extract().as(PaymentDto.class);\n\n assertThat(paymentsResponse.getAccountNumber()).isEqualTo(accountNumber);\n\n // Get pba payments by ccdCaseNumber\n PaymentsResponse liberataResponse = paymentTestService\n .getPbaPaymentsByCCDCaseNumber(SERVICE_TOKEN, accountPaymentRequest.getCcdCaseNumber()).then()\n .statusCode(OK.value()).extract().as(PaymentsResponse.class);\n assertThat(liberataResponse.getPayments().size()).isGreaterThanOrEqualTo(1);\n PaymentDto retrievedPaymentDto = liberataResponse.getPayments().stream()\n .filter(o -> o.getPaymentReference().equals(paymentDto.getReference())).findFirst().get();\n assertThat(retrievedPaymentDto.getAccountNumber()).isEqualTo(accountNumber);\n assertThat(retrievedPaymentDto.getFees().get(0).getApportionedPayment()).isEqualTo(\"215.00\");\n assertThat(retrievedPaymentDto.getFees().get(0).getCalculatedAmount()).isEqualTo(\"215.00\");\n assertThat(retrievedPaymentDto.getFees().get(0).getMemoLine())\n .isEqualTo(\"Personal Application for grant of Probate\");\n assertThat(retrievedPaymentDto.getFees().get(0).getNaturalAccountCode())\n .isEqualTo(\"4481102158\");\n assertThat(retrievedPaymentDto.getFees().get(0).getJurisdiction1()).isEqualTo(\"family\");\n assertThat(retrievedPaymentDto.getFees().get(0).getJurisdiction2())\n .isEqualTo(\"probate registry\");\n\n // delete payment record\n paymentTestService.deletePayment(USER_TOKEN, SERVICE_TOKEN, paymentDto.getReference()).then().statusCode(NO_CONTENT.value());\n\n }", "@Test\r\n public void genePageIntegrationTest() {\n PhenoDigmDao diseaseDao = instance;\r\n\r\n String mgiGeneId = \"MGI:95523\";\r\n System.out.println(String.format(\"\\n\\nGene: %s\", mgiGeneId));\r\n System.out.println(\"Known Disease Associations:\");\r\n Map<Disease, Set<DiseaseAssociation>> knownDiseases = diseaseDao.getKnownDiseaseAssociationsForMgiGeneId(mgiGeneId);\r\n Map<Disease, Set<DiseaseAssociation>> predictedDiseases = diseaseDao.getPredictedDiseaseAssociationsForMgiGeneId(mgiGeneId);\r\n\r\n if (knownDiseases.keySet().isEmpty()) {\r\n System.out.println(\" No known disease associations for \" + mgiGeneId);\r\n }\r\n for (Disease disease : knownDiseases.keySet()) {\r\n System.out.println(disease.getTerm());\r\n System.out.println(disease);\r\n System.out.println(String.format(\"%n Mouse Disease Models with Phenotypic Similarity to %s - via Literature:\", disease.getTerm()));\r\n Set<DiseaseAssociation> literatureDiseaseAssociations = knownDiseases.get(disease);\r\n System.out.print(formatDiseaseAssociations(literatureDiseaseAssociations));\r\n\r\n System.out.println(String.format(\"%n Phenotypic Matches to Mouse Models of %s:\", disease.getTerm()));\r\n Set<DiseaseAssociation> phenotypicDiseaseAssociations = predictedDiseases.get(disease);\r\n if (phenotypicDiseaseAssociations == null) {\r\n phenotypicDiseaseAssociations = new TreeSet<DiseaseAssociation>();\r\n }\r\n System.out.print(formatDiseaseAssociations(phenotypicDiseaseAssociations));\r\n }\r\n\r\n System.out.println(\"\\nPredicted Disease Associations: (first 10 only)\");\r\n if (knownDiseases.keySet().isEmpty()) {\r\n System.out.println(\" No predicted disease associations for \" + mgiGeneId);\r\n }\r\n \r\n Iterator<Disease> predictedDiseaseIterator = predictedDiseases.keySet().iterator();\r\n for (int i = 0; i < 10; i++) {\r\n if (predictedDiseaseIterator.hasNext()) {\r\n Disease disease = predictedDiseaseIterator.next();\r\n System.out.println(String.format(\" %s %s\", disease.getTerm(), disease.getDiseaseId()));\r\n System.out.print(formatDiseaseAssociations(predictedDiseases.get(disease))); \r\n } \r\n }\r\n \r\n System.out.println(\"--------------------------------------------------------------------------------------------------\\n\");\r\n }", "@Test\r\n public void CriterioUnidadSiCumple()\r\n {\r\n CriterioDeCorreccion criterio = new UnaDeCadaUnidadCriterioDeCorreccion();\r\n ExamenCorregido corregido = generarExamenCorregidoAprobado(criterio);\r\n \r\n assertTrue(criterio.cumple(corregido.getNotasPregunta()));\r\n assertEquals(corregido.getNota(), 4); \r\n }", "public boolean doPerturbationMotion(double param){\n\n int structIndex = (int)param;\n if( structIndex < 0 \|\| structIndex >= templateCoord.length ){\n System.err.println(\"Bad full structure switch parameter: \" + structIndex + \". Perturbation state ignored.\" );\n return false;\n }\n\n double genChi1[] = getGenChi1();//Note the generalized chi1 for each residue so we can restore it after the perturbation\n\n int section = 0;\n\n if( resDirectlyAffected[0] != 0 ){\n System.arraycopy( templateCoord[structIndex][0], 0, m.actualCoordinates, 0, templateCoord[structIndex][0].length );\n section++;\n }\n\n restoreResBB( m.residue[resDirectlyAffected[0]], flexBB.get(structIndex).get(0) );\n int curIndex = -1;\n if( resDirectlyAffected[0] < m.residue.length - 1)\n curIndex = 3m.residue[resDirectlyAffected[0] + 1].atom[0].moleculeAtomNumber;//current index in m.actualCoordinates\n\n\n for( int a=1; a<numProteinFlexRes; a++){\n\n int molResNum = resDirectlyAffected[a];\n\n if( molResNum > resDirectlyAffected[a-1] + 1 ){//There is a template section before this residue\n System.arraycopy( templateCoord[structIndex][section], 0, m.actualCoordinates, curIndex, templateCoord[structIndex][section].length );\n section++;\n }\n\n //Now change the residue backbone itself\n restoreResBB( m.residue[molResNum], flexBB.get(structIndex).get(a) );\n\n if(molResNum < m.residue.length - 1)\n curIndex = 3m.residue[molResNum + 1].atom[0].moleculeAtomNumber;\n else\n curIndex = -1;//We're at the end of the molecule\n }\n\n //Change the final template section\n if( curIndex != -1)\n System.arraycopy( templateCoord[structIndex][section], 0, m.actualCoordinates, curIndex, templateCoord[structIndex][section].length );\n\n\n if(idealizeSC)\n idealizeSidechains();\n\n setGenChi1(genChi1);\n\n return true;\n\n }", "private void verifyRewardInserted(RewardConfirmation confirmation, Dining dining) {\n Assert.assertEquals(1, getRewardCount(confirmation.getConfirmationNumber()));\n\n Map<String, Map<String, Object>> expectedRows = new TreeMap<String, Map<String, Object>>();\n AccountContribution contribution = confirmation.getAccountContribution();\n\n final String beneficiaryName = \"BENEFICIARY_NAME\";\n\n final Set<AccountContribution.Distribution> contributionDistributions = contribution.getDistributions();\n if (contributionDistributions.size() > 0) {\n for (AccountContribution.Distribution distribution : contributionDistributions) {\n Map<String, Object> expectedRow = new LinkedHashMap<String, Object>();\n\n expectedRow.put(\"CONFIRMATION_NUMBER\", confirmation.getConfirmationNumber());\n expectedRow.put(\"ACCOUNT_NUMBER\", contribution.getAccountNumber());\n expectedRow.put(\"REWARD_AMOUNT\", contribution.getAmount().asDouble());\n expectedRow.put(\"DINING_MERCHANT_NUMBER\", dining.getMerchantNumber());\n expectedRow.put(\"DINING_DATE\", dining.getDate());\n expectedRow.put(\"DINING_AMOUNT\", (double) dining.getAmount());\n expectedRow.put(beneficiaryName, distribution.getBeneficiary());\n expectedRow.put(\"DISTRIBUTION_AMOUNT\", distribution.getAmount().asDouble());\n expectedRow.put(\"ALLOCATION_PERCENTAGE\", distribution.getPercentage().asDouble());\n expectedRow.put(\"BENEFICIARY_SAVINGS\", distribution.getTotalSavings().asDouble());\n\n expectedRows.put(distribution.getBeneficiary(), expectedRow);\n }\n\n } else {\n Map<String, Object> expectedRow = new LinkedHashMap<String, Object>();\n\n expectedRow.put(\"CONFIRMATION_NUMBER\", confirmation.getConfirmationNumber());\n expectedRow.put(\"ACCOUNT_NUMBER\", contribution.getAccountNumber());\n expectedRow.put(\"REWARD_AMOUNT\", contribution.getAmount().asDouble());\n expectedRow.put(\"DINING_MERCHANT_NUMBER\", dining.getMerchantNumber());\n expectedRow.put(\"DINING_DATE\", dining.getDate());\n expectedRow.put(\"DINING_AMOUNT\", (double) dining.getAmount());\n expectedRow.put(beneficiaryName, null);\n expectedRow.put(\"DISTRIBUTION_AMOUNT\", null);\n expectedRow.put(\"ALLOCATION_PERCENTAGE\", null);\n expectedRow.put(\"BENEFICIARY_SAVINGS\", null);\n\n expectedRows.put(\"__NULL__\", expectedRow);\n }\n\n List<Map<String, Object>> actualRows = jdbcTemplate.queryForList(\n \"select r.CONFIRMATION_NUMBER, r.ACCOUNT_NUMBER, r.REWARD_AMOUNT, r.DINING_MERCHANT_NUMBER, \" +\n \"r.DINING_DATE, r.DINING_AMOUNT, d.BENEFICIARY_NAME, d.DISTRIBUTION_AMOUNT, d.ALLOCATION_PERCENTAGE, \" +\n \"d.BENEFICIARY_SAVINGS from T_REWARD r left outer join T_REWARD_DISTRIBUTION d on r.ID = d.REWARD_ID \" +\n \"where CONFIRMATION_NUMBER = ?\",\n confirmation.getConfirmationNumber());\n\n boolean rowsEqual = true;\n StringBuffer neMsg = new StringBuffer();\n for (Map<String, Object> actualRow : actualRows) {\n\n final Object actualBeneficiaryName = actualRow.get(beneficiaryName);\n Map<String, Object> expectedRow = expectedRows.get(actualBeneficiaryName == null ? \"__NULL__\" : actualBeneficiaryName);\n if (!expectedRow.equals(actualRow)) {\n if (rowsEqual) {\n rowsEqual = false;\n neMsg.append(\"expectedRow != actualRow ['\").append(beneficiaryName).append(\"']:\");\n }\n\n for (String columnName : expectedRow.keySet()) {\n final Object expectedValue = expectedRow.get(columnName);\n final Object actualValue = actualRow.get(columnName);\n if (!ObjectUtils.nullSafeEquals(expectedValue, actualValue)) {\n neMsg.append(\"\\n ['\").append(columnName).append(\"']:expectedValue=\");\n if (expectedValue != null) {\n neMsg.append('(').append(expectedValue.getClass()).append(\")\");\n }\n neMsg.append(expectedValue).append(\":actualValue=\");\n if (actualValue != null) {\n neMsg.append('(').append(actualValue.getClass()).append(\")\");\n }\n neMsg.append(actualValue);\n }\n }\n\n Assert.assertTrue(neMsg.toString(), rowsEqual);\n }\n }\n\n Assert.assertEquals(\"rows.size():\", expectedRows.size(), actualRows.size());\n }", "@Test\n\tpublic void testCase3()\n\t{\n\t\tString caseType=\"silicone\";\n\t\tint numberOfCases=10;\n\t\tfloat amount=BillEstimation.fareCalculation(caseType,numberOfCases);\n\t\tSystem.out.println(\"Bill amount\"+amount);\n\t\tAssert.assertEquals(5000.1f,amount,0.2f); \n\t\t/\n\t\t Assert.assertEquals(expected, actual, delta) delta is how long the actual\n\t\t * value differs from expected\n\t\t /\n\t}", "@Test\n void _correctThenCaseTest() {\n\n actionApply();\n\n for (ReceiverPair receiverPair : dependedReceiverPairs) {\n for (AssingablePair assingablePair : incompatibleAssignablePairs) {\n verify(model).arithm(receiverPair.getVariableDependentReceiver(), \"!=\", assingablePair.getIndexdependentAssignable());\n }\n }\n }", "@Test(timeout = 4000)\n public void test42() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n naiveBayesMultinomialText0.setLNorm(551.149718887);\n assertEquals(551.149718887, naiveBayesMultinomialText0.getLNorm(), 0.01);\n }", "@Test\n public void testOneUserTrecevalStrategyMultipleRelevance() {\n DataModelIF<Long, Long> test = DataModelFactory.getDefaultModel();\n DataModelIF<Long, Long> predictions = DataModelFactory.getDefaultModel();\n test.addPreference(1L, 2L, 0.0);\n test.addPreference(1L, 3L, 1.0);\n test.addPreference(1L, 4L, 2.0);\n predictions.addPreference(1L, 1L, 3.0);\n predictions.addPreference(1L, 2L, 4.0);\n predictions.addPreference(1L, 3L, 5.0);\n predictions.addPreference(1L, 4L, 1.0);\n\n Precision<Long, Long> precision = new Precision<Long, Long>(predictions, test, 1.0, new int[]{1, 2, 3, 4, 5});\n\n precision.compute();\n\n assertEquals(0.5, precision.getValue(), 0.001);\n assertEquals(1.0, precision.getValueAt(1), 0.001);\n assertEquals(0.5, precision.getValueAt(2), 0.001);\n assertEquals(0.3333, precision.getValueAt(3), 0.001);\n assertEquals(0.5, precision.getValueAt(4), 0.001);\n assertEquals(0.4, precision.getValueAt(5), 0.001);\n\n Map<Long, Double> precisionPerUser = precision.getValuePerUser();\n for (Map.Entry<Long, Double> e : precisionPerUser.entrySet()) {\n long user = e.getKey();\n double value = e.getValue();\n assertEquals(0.5, value, 0.001);\n }\n }", "@Test\n\tpublic void testGetTariefBehandeling(){\n\t\tdouble expResult = 89.50;\n\t\tassertTrue(expResult == instance.getTariefBehandeling());\n\t}", "public void testGetFollows() {\n MarkovOne mark = new MarkovOne();\n mark.setTraining(\"this is a test yes this is a test.\");\n System.out.println(mark.getFollows(\".\"));\n }", "@Test\r\n\tpublic void calculMetricInferiorTeacherBetterScoreButNoLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(25f, 1f), 12f, 13f), new Float(0));\r\n\t}", "public void assertForFindGoingmm(PaginationSupport ps) {\r\n\t\tassertNotNull(ps);\r\n\t\tassertEquals(PERSON_GOINGMM_COUNT, ps.getTotalCount());\r\n\t\tassertEquals(PERSON_GOINGMM_COUNT, ((List)ps.getResult()).size());\r\n\t}", "@Test\n\tpublic void testRepeatibleDynamics() throws IOException, PropertiesException {\n\n\t\t\n\t\t// INSTANTIATE benchmark \n\t\tProperties props = PropertiesUtil.setpointProperties(new File (\"src/main/resources/sim.properties\"));\n\t\tSetPointGenerator lg = new SetPointGenerator (props);\n\t\tList<ExternalDriver> externalDrivers = new ArrayList<ExternalDriver>();\n\t\texternalDrivers.add(lg);\n\t\tIndustrialBenchmarkDynamics d = new IndustrialBenchmarkDynamics (props, externalDrivers);\n\t\tRandom actionRand = new Random(System.currentTimeMillis());\n \n // 1) do 100000 random steps, in order to initialize dynamics\n\t\tfinal ActionDelta action = new ActionDelta(0.001f, 0.001f, 0.001f); \n\t\tfor (int i=0; i<INIT_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t}\n\t\t\n\t\t// 2) memorize current observable state and current markov state\n\t\tfinal ObservableState os = d.getState();\n\t\tfinal DataVector ms = d.getInternalMarkovState();\n\t\tSystem.out.println (\"init o-state: \" + os.toString());\n\t\tSystem.out.println (\"init m-state: \" + ms.toString());\n\t\t\n\t\t\n\t\t// 3) perform test trajectory and memorize states\n\t\tactionRand.setSeed(ACTION_SEED);\n\t\tDataVector oStates[] = new DataVector[MEM_STEPS];\n\t\tDataVector mStates[] = new DataVector[MEM_STEPS];\n\t\t\t\t\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\td.step(action);\n\t\t\toStates[i] = d.getState();\n\t\t\tmStates[i] = d.getInternalMarkovState();\n\t\t}\n\t\t\n\t\t// 4) reset dynamics & parameters and internal markov state\n\t\td.reset();\n\t\td.setInternalMarkovState(ms);\n\t\t\n\t\t// 5) reperform test and check if values are consistent\n\t\tactionRand.setSeed(ACTION_SEED); // reproduce action sequence\n\t\tDataVector oState = null;\n\t\tDataVector mState = null;\n\t\tfor (int i=0; i<MEM_STEPS; i++) {\n\t\t\taction.setDeltaGain(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaVelocity(2.f(actionRand.nextFloat()-0.5f));\n\t\t\taction.setDeltaShift(2.f(actionRand.nextFloat()-0.5f));\n\t\t\t\n\t\t\td.step(action);\n\t\t\toState = d.getState();\n\t\t\tmState = d.getInternalMarkovState();\n\t\t\t\n\t\t\t// check observable state\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.SetPoint), oState.getValue(ObservableStateDescription.SetPoint), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Fatigue), oState.getValue(ObservableStateDescription.Fatigue), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.Consumption), oState.getValue(ObservableStateDescription.Consumption), 0.0001);\n\t\t\tassertEquals (oStates[i].getValue(ObservableStateDescription.RewardTotal), oState.getValue(ObservableStateDescription.RewardTotal), 0.0001);\n\n\t\t\t// \n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.CurrentOperationalCost), mState.getValue(MarkovianStateDescription.CurrentOperationalCost), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent2), mState.getValue(MarkovianStateDescription.FatigueLatent2), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.FatigueLatent1), mState.getValue(MarkovianStateDescription.FatigueLatent1), 0.0001);\n\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionGainBeta), mState.getValue(MarkovianStateDescription.EffectiveActionGainBeta), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), mState.getValue(MarkovianStateDescription.EffectiveActionVelocityAlpha), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.EffectiveShift), mState.getValue(MarkovianStateDescription.EffectiveShift), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.MisCalibration), mState.getValue(MarkovianStateDescription.MisCalibration), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), mState.getValue(SetPointGeneratorStateDescription.SetPointChangeRatePerStep), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointCurrentSteps), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), mState.getValue(SetPointGeneratorStateDescription.SetPointLastSequenceSteps), 0.0001);\n\t\t\t\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardFatigue), mState.getValue(MarkovianStateDescription.RewardFatigue), 0.0001);\n\t\t\tassertEquals (mStates[i].getValue(MarkovianStateDescription.RewardConsumption), mState.getValue(MarkovianStateDescription.RewardConsumption), 0.0001);\n\t\t}\n\t\t\n\t\tSystem.out.println (\"last o-state 1st trajectory: \" + oStates[oStates.length-1]);\n\t\tSystem.out.println (\"last o-state 2nd trajectory: \" + oState);\n\t\t\n\t\tSystem.out.println (\"last m-state 1st trajectory: \" + mStates[oStates.length-1]);\n\t\tSystem.out.println (\"last m-state 2nd trajectory: \" + mState);\n\t}", "@Test\n public void testIsTransitionMatrix()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isTransitionMatrix(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void moneyTrnasferSucess() {\n\t\t\n\t\tString accountNumberFrom = createAccount(\"krishna\",4000);\n\t\tString accountNumberTo = createAccount(\"ram\",2000);\n\t\tdouble amountToBeTranfered = 500.0;\n\t\tMoneyTransfer moneyTransfer = new MoneyTransfer();\n\t\tmoneyTransfer.setAccountNumberFrom(Integer.parseInt(accountNumberFrom));\n\t\tmoneyTransfer.setAccountNumberTo(Integer.parseInt(accountNumberTo));\n\t\tmoneyTransfer.setAmount(amountToBeTranfered);\n\t\t\n\t\tString requestBody = gson.toJson(moneyTransfer);\n\t\t\n\t\tRequestSpecification request = RestAssured.given();\n\t\trequest.body(requestBody);\n\t\tResponse response = request.put(\"/transfer\");\n\t\t\n\t\t// This logic is required due to response has been set as mix of Message and return data value. - START\n\t\tStringBuilder sb = new StringBuilder();\n\t\tsb.append(amountToBeTranfered);\n\t\tsb.append(\" has been transferred to : \");\n\t\tsb.append(accountNumberTo);\n\t\t// This logic is required due to response has been set as mix of Message and return data value. - END\n\t\t\n\t\tAssertions.assertEquals(sb.toString(), response.asString());\n\t\t\n\t}", "@Test\n public void testMaxExtremeCalcNewTheta() throws Exception{\n\n int c = 0;\n\n int mark1 = 1; // response\n\n double alpha1 = -1; // difficulty\n\n double lambda1 = 1.0; // discrimination\n\n\n\n Item item1 = new Item(c, theta5, alpha1, lambda1, mark1);\n\n List<Item> itemList = new ArrayList<>();\n itemList.add(item1); // ALL CORRECT ANSWERS\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n itemList.add(item1);\n\n double newTheta = ItemResponseTheory.calcNewTheta( itemList, theta5 );\n\n assertEquals(\"test ALL CORRECT\", 3.0,newTheta,0.1);\n }", "public void prediction() {\n\t\txPriorEstimate = xPreviousEstimate;\n\t\tpPriorCovarianceError = pPreviousCovarianceError;\n\t}", "@Test(timeout = 4000)\n public void test45() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n double double0 = naiveBayesMultinomialText0.getMinWordFrequency();\n assertEquals(3.0, double0, 0.01);\n assertFalse(naiveBayesMultinomialText0.getUseWordFrequencies());\n assertFalse(naiveBayesMultinomialText0.getNormalizeDocLength());\n assertEquals(0, naiveBayesMultinomialText0.getPeriodicPruning());\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\n }", "@Then(\"Assert the success of Analysis\")\npublic void assanalysis(){\n}", "@Test\n\tpublic void test() {\n\t\tRandomVariableDefinition RV_DEF_X = new RandomVariableDefinition(\"DEF_X\", Arrays.asList(\"x0\", \"x1\", \"x2\"));\n\t\tRandomVariableDefinition RV_DEF_Y = new RandomVariableDefinition(\"DEF_Y\", Arrays.asList(\"y0\", \"y1\"));\n\t\tRandomVariableDefinition RV_DEF_Z = new RandomVariableDefinition(\"DEF_Y\", Arrays.asList(\"z0\", \"z1\"));\n\n\t\t///////////////////////////////////\n\t\t// define the local probability models\n\t\tLocalProbabilityModel X = new LocalProbabilityModel(\"X\");\n\t\tLocalProbabilityModel Y = new LocalProbabilityModel(\"Y\");\n\t\tLocalProbabilityModel Z = new LocalProbabilityModel(\"Z\");\n\t\tLocalProbabilityModel X1 = new LocalProbabilityModel(\"X1\");\n\t\tLocalProbabilityModel X2 = new LocalProbabilityModel(\"X2\");\n\t\tLocalProbabilityModel X3 = new LocalProbabilityModel(\"X3\");\n\t\tLocalProbabilityModel X7 = new LocalProbabilityModel(\"X7\");\n\t\t\n\t\t////////////////////////////////\n\t\t// specify target variable type, and dependencies\n\t\t\n\t\t// two a-priori variables - target only, no dependencies\n\t\tX.setTargetAndDependencies(RV_DEF_X, null);\n\t\tY.setTargetAndDependencies(RV_DEF_Y, null);\n\t\t\n\t\t// a LPM conditionally dependent on two variables\n\t\tZ.setTargetAndDependencies(RV_DEF_Z, Arrays.asList(X, Y));\n\n\t\t// a LPM conditionally dependent on several variables of the same type\n\t\tX3.setTargetAndDependencies(RV_DEF_X, Arrays.asList(X1, X2));\n\n\t\t// a LPM conditionally dependent on itself (i.e. a state variable)\n\t\tX7.setTargetAndDependencies(RV_DEF_X, Arrays.asList(X7));\n\n\t\n\t\t// the first has no dependencies just values\n\t\tX.setValue(\"x0\", 0.6);\n\t\tX.setValue(\"x1\", 0.1);\n\t\tX.setValue(\"x2\", 0.1);\n\n\t\t// the second has dependencies\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x0\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x0\"), Y.event(\"y1\")), 0.3);\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x1\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x1\"), Y.event(\"y1\")), 0.3);\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x2\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z0\", Arrays.asList(X.event(\"x2\"), Y.event(\"y1\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x0\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x0\"), Y.event(\"y1\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x1\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x1\"), Y.event(\"y1\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x2\"), Y.event(\"y0\")), 0.3);\n\t\tZ.setValue(\"z1\", Arrays.asList(X.event(\"x2\"), Y.event(\"y1\")), 0.3);\n\n\t\t// the third has a recurrent dependency\n\t\tX1.setValue(\"x0\", Arrays.asList(X1.event(\"x0\")), 0.1);\n\t\tX1.setValue(\"x0\", Arrays.asList(X1.event(\"x1\")), 0.1);\n\t\tX1.setValue(\"x1\", Arrays.asList(X1.event(\"x0\")), 0.1);\n\t\tX1.setValue(\"x1\", Arrays.asList(X1.event(\"x1\")), 0.1);\n\t\t\n\t\t\n\t\t\n\t\t/* NOTE - should we enforce that a conditional probability should always be 'set' with requirement that the conditioning variables should all be identified ? /\n\t\t// this would be Z.setValue(\n\t//\tZ.setValue(Arrays.asList(X.event(\"x0\"), Y.event(\"y0\")),\n\t//\t\t\tArrays.asList(\n\t//\t\t\t\t\t\"z0\", 0.5,\n\t//\t\t\t\t\t\"z1\", 0.3,\n\t//\t\t\t\t\t\"z2\", 0.7));\n\n\n\n\t\tString s = Z.toString();\n\t\tSystem.out.println(\"==============\\n\" + s);\n\n\t\tSystem.out.println(\"done\");\n\n\n\t}", "@Test\n public void testCalcNewTheta() throws Exception{\n\n int c = 0;\n\n int mark1 = 1; // response\n int mark2 = 0;\n int mark3 = 1;\n\n double alpha1 = -1; // difficulty\n double alpha2 = 0;\n double alpha3 = 1;\n\n double lambda1 = 1.0; // discrimination\n double lambda2 = 1.2;\n double lambda3 = 0.8;\n\n double tolerance = 0.0005;\n double answerTheta = 0.3249;\n\n double originalTheta = 1;\n\n\n Item item1 = new Item(c, theta5, alpha1, lambda1, mark1);\n Item item2 = new Item(c, theta5, alpha2, lambda2, mark2);\n Item item3 = new Item(c, theta5, alpha3, lambda3, mark3);\n\n List<Item> itemList = new ArrayList<>();\n itemList.add(item1);\n itemList.add(item2);\n itemList.add(item3);\n\n\n double newTheta = ItemResponseTheory.calcNewTheta( itemList, theta5 );\n int x = 5;\n\n assertTrue(\"calcTheta\", Math.abs(newTheta - answerTheta)< tolerance);\n }", "@Test\n public void testOneUserTrecevalStrategySingleRelevance() {\n DataModelIF<Long, Long> test = DataModelFactory.getDefaultModel();\n DataModelIF<Long, Long> predictions = DataModelFactory.getDefaultModel();\n test.addPreference(1L, 2L, 0.0);\n test.addPreference(1L, 3L, 1.0);\n test.addPreference(1L, 4L, 1.0);\n predictions.addPreference(1L, 1L, 3.0);\n predictions.addPreference(1L, 2L, 4.0);\n predictions.addPreference(1L, 3L, 5.0);\n predictions.addPreference(1L, 4L, 1.0);\n\n Precision<Long, Long> precision = new Precision<Long, Long>(predictions, test, 1.0, new int[]{1, 2, 3, 4, 5});\n\n precision.compute();\n\n assertEquals(0.5, precision.getValue(), 0.001);\n assertEquals(1.0, precision.getValueAt(1), 0.001);\n assertEquals(0.5, precision.getValueAt(2), 0.001);\n assertEquals(0.3333, precision.getValueAt(3), 0.001);\n assertEquals(0.5, precision.getValueAt(4), 0.001);\n assertEquals(0.4, precision.getValueAt(5), 0.001);\n\n Map<Long, Double> precisionPerUser = precision.getValuePerUser();\n for (Map.Entry<Long, Double> e : precisionPerUser.entrySet()) {\n long user = e.getKey();\n double value = e.getValue();\n assertEquals(0.5, value, 0.001);\n }\n }", "private void test(IApproximatorCreator creator, List<Point> data, List<ExpectedApproximation> expectations) {\r\n File tmp = new File(FileUtils.getTempDirectory(), \"approx\");\r\n tmp.mkdirs();\r\n \r\n IStorageStrategy strategy = DefaultStorageStrategy.INSTANCE;\r\n IApproximator approx1 = creator.createApproximator(strategy, tmp, \"key\", TimeBehavior.LATENCY);\r\n Assert.assertNotNull(approx1);\r\n for (int d = 0; d < data.size(); d++) {\r\n data.get(d).update(approx1);\r\n }\r\n File f = approx1.store(tmp);\r\n Assert.assertNotNull(f);\r\n Assert.assertTrue(f.exists());\r\n \r\n IApproximator approx2 = creator.createApproximator(strategy, tmp, \"key\", TimeBehavior.LATENCY);\r\n Assert.assertNotNull(approx2);\r\n Assert.assertTrue(approx2.containsSameData(approx1));\r\n\r\n if (null != expectations) {\r\n for (ExpectedApproximation a : expectations) {\r\n double v1 = a.assertApproximation(approx1);\r\n double v2 = a.assertApproximation(approx2);\r\n Assert.assertEquals(v1, v2, 0.05);\r\n }\r\n }\r\n \r\n FileUtils.deleteQuietly(tmp);\r\n }", "@Test\n\tpublic void testCellularAutomaton() {\n\t\t//Test update() function\n\t\t//Expect result\n\t\t//result1 = new int[][] {{auto.NONE, auto.PREDATOR, auto.PREDATOR},{auto.PREDATOR, auto.PREDATOR, auto.PREDATOR},{auto.PREY, auto.PREY, auto.PREY}};\n\t\t\n\t\t//use update() function\n\t\t//auto.update(autoGrid, auto.PREY, auto.PREDATOR, auto.preyProb);\n\t\t//result2 = auto.getGrid();\n\t\t\n\t\t//Compare each elements...\n\t\t/for (int i = 0; i < 3; i++) {\n\t\t\tfor (int j = 0; j < 3; j++) {\n\t\t\t\tassertTrue(result1[i][j]==result2[i][j]);\n\t\t\t}\n\t\t}/\n\t\t\n\t\t\n\t\t/\n\t\t Test step() function\n\t\t /\n\t\t//Expect result\n\t\tresult3 = new int[][] {{auto.NONE, auto.PREDATOR, auto.PREY},{auto.PREDATOR, auto.PREDATOR, auto.PREDATOR},{auto.PREY, auto.PREY, auto.PREY}};\n\t\t\n\t\t//set grid as the preset autoGrid\n\t\tauto.setGrid(autoGrid);\n\t\tauto.step();\n\t\t\n\t\t//get the real actual result\n\t\tresult4 = auto.getGrid();\n\t\t\n\t\t//Compare each elements...\n\t\tfor (int i = 0; i < 3; i++) {\n\t\t\tfor (int j = 0; j < 3; j++) {\n\t\t\t\tassertTrue(result3[i][j]==result4[i][j]);\n\t\t\t}\n\t\t}\n\t}", "public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\n }", "@Test\n public void testMinExtremeCalcNewTheta() throws Exception{\n\n int c = 0;\n\n int mark2 = 0; // response\n\n double alpha1 = -1; // difficulty\n\n double lambda1 = 1.0; // discrimination\n\n Item item2 = new Item(c, theta5, alpha1, lambda1, mark2);\n\n List<Item> itemList = new ArrayList<>();\n itemList.add(item2); // ALL CORRECT ANSWERS\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n itemList.add(item2);\n\n double newTheta = ItemResponseTheory.calcNewTheta( itemList, theta5 );\n\n assertEquals(\"test IRT ALGO\", -3.0,newTheta,0.1);\n }", "@Test(timeout = 4000)\n public void test43() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n boolean boolean0 = naiveBayesMultinomialText0.getUseWordFrequencies();\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\n assertEquals(0, naiveBayesMultinomialText0.getPeriodicPruning());\n assertFalse(naiveBayesMultinomialText0.getNormalizeDocLength());\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\n assertFalse(boolean0);\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\n }", "@Test\n public void testMetastableStates()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IIntArray expResult = null;\n IIntArray result = instance.metastableStates(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Override\n public int estimatedDistanceToGoal() {\n return manhattan();\n }", "@Test(timeout = 4000)\n public void test79() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n String string0 = naiveBayesMultinomialText0.normTipText();\n assertFalse(naiveBayesMultinomialText0.getUseWordFrequencies());\n assertFalse(naiveBayesMultinomialText0.getNormalizeDocLength());\n assertEquals(\"The norm of the instances after normalization.\", string0);\n assertEquals(0, naiveBayesMultinomialText0.getPeriodicPruning());\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\n }", "public abstract int predict(double[] testingData);", "@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Override\n public void verifyResult() {\n assertThat(calculator.getResult(), is(4));\n }", "private void calculateDecisionParameters(Set<StandardEntity> victims, Map<EntityID, AmbulanceTarget> targetsMap) {\n\n AmbulanceTarget target;\n Human human;\n if (victims != null && !victims.isEmpty()) {\n for (StandardEntity victim : victims) {\n target = targetsMap.get(victim.getID());\n human = (Human) worldInfo.getEntity(victim.getID());\n if (target == null) {\n //creating a new AmbulanceTarget object\n target = new AmbulanceTarget(victim.getID());\n\n //set target position\n target.setPositionID(human.getPosition());\n\n //euclidean distance from this victim to the nearest refuge\n target.setDistanceToRefuge(worldInfo.getDistance(human.getPosition(), findNearestRefuge(human.getPosition())));\n\n target.setDistanceToPartition(Util.distance(victim.getLocation(worldInfo.getRawWorld()), clusterCenterMap.get(this.clusterIndex)));\n }\n //euclidean distance from this victim to the me\n target.setDistanceToMe(computingDistance(human));\n\n target.setVictimSituation(calculateVictimProfitability(human));\n\n targetsMap.put(victim.getID(), target);\n }\n }\n\n }", "@Test\n public void testImprimirStatistics()\n {\n //this.linealRegressionCalculator.printStatistics();\n }", "@Test(timeout = 4000)\n public void test012() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.priorEntropy();\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Override\r\n\tpublic void onTestFailedButWithinSuccessPercentage(ITestResult result) {\n\t\t\r\n\t}", "@Override\r\n\tpublic void onTestFailedButWithinSuccessPercentage(ITestResult result) {\n\t\t\r\n\t}", "@Override\r\n\tpublic void onTestFailedButWithinSuccessPercentage(ITestResult result) {\n\t\t\r\n\t}", "@Override\r\n\tpublic void onTestFailedButWithinSuccessPercentage(ITestResult result) {\n\t\t\r\n\t}", "@Override\n\t\tpublic void onTestFailedButWithinSuccessPercentage(ITestResult result) {\n\t\t\t\n\t\t}", "@Test\n public void test03() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[] doubleArray0 = new double[19];\n evaluation0.updateMargins(doubleArray0, 0, 0.0);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n }", "@Test\n\tvoid testCalculateMarkTillSemesterSuccess3() {\n\t\n\t\tString semesterName = \"20193\";\n\t\t\n\t\tUser user = userService.findByUsername(\"B17DCCN123\");\n\t\tStudent student = user.getStudent();\n\t\tList<StudentResult> resultsTillSemester = resultService.findResultTillSemester(student.getId(),\n\t\t\t\tsemesterName);\n\t\t\n\t\tString tktMark = \"\";\n\t\t\n\t\tfor (StudentResult result : resultsTillSemester) {\n\t\t\tSubject subject = result.getStudentRegister().getCourse().getSubject();\n\t\t\tif (subject.getName().equals(\"Toán kinh tế\")) {\n\t\t\t\ttktMark = result.getMarkToChar();\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\t\n\t\tList<Object> listGpaResultsTillNow = MarkUtility.calculateMarkTillSemester(resultsTillSemester);\n\t\tint passedCreditsTillNow = (int) listGpaResultsTillNow.get(0);\n\t\tfloat gpaTillNow = (float) listGpaResultsTillNow.get(1);\n\t\t\n\t\tDecimalFormat df = new DecimalFormat(\"#.##\");\n\t\t\n\t\tassertTrue(\n\t\t\t\ttktMark.equals(\"C\") && \n\t\t\t\tpassedCreditsTillNow == 18 && \n\t\t\t\tdf.format(gpaTillNow).equals(\"3.19\")\n\t\t\t\t);\n\t}", "@Test\n public void testCalculerDroitPassage() {\n int nbrDoitPassage = 3;\n double valeurLot = 1000;\n double expResult = 350;\n double result = CalculAgricole.calculerMontantDroitsPassage(nbrDoitPassage, valeurLot);\n assertEquals(\"Montant pour las droits du passage n'était pas correct.\", expResult, result, 0);\n\n }", "public void onTestFailedButWithinSuccessPercentage(ITestResult arg0) {\n\n }", "@Test\n\tpublic void testSetTariefBehandeling(){\n\t\tdouble expResult = 10;\n\t\tinstance.setTariefBehandeling(10);\n\t\tassertTrue(expResult == instance.getTariefBehandeling());\n\t}", "@Test\n public void testCalculateProbability() throws IOException, ParseException, MathException {\n System.out.println(\"calculateProbability\");\n OrganizationsRegister ro = info(\"e\", \"f\");\n String id = \"12\";\n String expResult = \"25,25 %\";\n String result = ro.calculateProbability();\n assertEquals(expResult, result);\n }", "public void testDangerSigns() {\n \t// 1. Execute the Classification rule engine to determine patient classifications\n \t// 2. Execute the Treatment rule engine to determine patient treatments\n \texecuteRuleEngines();\n \n // 3. Has the correct number of classifications been determined?\n assertEquals(\"the actual number of patient classifications does not match the expected number\",\n \t\t 2, CcmRuleEngineUtilities.calculateStandardClassificationNumber(getPatientAssessment().getDiagnostics()));\n \n // 4. Have the correct classifications been determined?\n assertEquals(\"incorrect classification assessed\", true, CcmRuleEngineUtilities.classificationPresent(getPatientAssessment().getDiagnostics(), \"Cough for 21 Days or more\"));\n assertEquals(\"incorrect classification assessed\", true, CcmRuleEngineUtilities.classificationPresent(getPatientAssessment().getDiagnostics(), \"Not Able to Drink or Feed Anything\"));\n \n // 5. Have the correct treatments been determined?\n assertEquals(\"incorrect treatment assessed\", true, CcmRuleEngineUtilities.treatmentPresent(getPatientAssessment().getDiagnostics(), \"REFER URGENTLY to health facility\"));\n assertEquals(\"incorrect treatment assessed\", true, CcmRuleEngineUtilities.treatmentPresent(getPatientAssessment().getDiagnostics(), \"Explain why child needs to go to health facility\"));\n assertEquals(\"incorrect treatment assessed\", true, CcmRuleEngineUtilities.treatmentPresent(getPatientAssessment().getDiagnostics(), \"Advise to keep child warm, if 'child is NOT hot with fever'\"));\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \n assertEquals(\"incorrect treatment assessed\", true, CcmRuleEngineUtilities.treatmentPresent(getPatientAssessment().getDiagnostics(), \"Write a referral note\"));\n assertEquals(\"incorrect treatment assessed\", true, CcmRuleEngineUtilities.treatmentPresent(getPatientAssessment().getDiagnostics(), \"Arrange transportation and help solve other difficulties in referral\"));\n }", "@Override\n public void onTestFailedButWithinSuccessPercentage(ITestResult result) {\n\n }", "@Override\n public void onTestFailedButWithinSuccessPercentage(ITestResult result) {\n\n }", "public double getExpectationAt(int index){\r\n\t\tif(index <0 \|\| index>=expectations.getObservationCount())\r\n\t\t\tthrow new IndexOutOfBoundsException();\r\n\t\treturn expectations.getValueAt(index);\r\n\t}", "@Override\n public double proposal() {\n Tree tree = treeInput.get();\n\n Node node;\n if (useNodeNumbers) {\n int leafNodeCount = tree.getLeafNodeCount();\n int i = Randomizer.nextInt(leafNodeCount);\n node = tree.getNode(i);\n } else {\n int i = Randomizer.nextInt(taxonIndices.length);\n node = tree.getNode(taxonIndices[i]);\n }\n\n double value = node.getHeight();\n\n if (value == 0.0) {\n return Double.NEGATIVE_INFINITY;\n }\n double newValue = value;\n\n boolean drawFromDistribution = samplingDateTaxonNames.contains(node.getID());\n if (drawFromDistribution) {\n SamplingDate taxonSamplingDate = samplingDatesInput.get().get(samplingDateTaxonNames.indexOf(node.getID()));\n double range = taxonSamplingDate.getUpper() - taxonSamplingDate.getLower();\n newValue = taxonSamplingDate.getLower() + Randomizer.nextDouble() range;\n } else {\n if (useGaussian) {\n newValue += Randomizer.nextGaussian() * windowSize;\n } else {\n newValue += Randomizer.nextDouble() * 2 * windowSize - windowSize;\n }\n }\n\n\n Node fake = null;\n double lower, upper;\n\n if (((ZeroBranchSANode)node).isDirectAncestor()) {\n fake = node.getParent();\n lower = getOtherChild(fake, node).getHeight();\n if (fake.getParent() != null) {\n upper = fake.getParent().getHeight();\n } else upper = Double.POSITIVE_INFINITY;\n } else {\n //lower = Double.NEGATIVE_INFINITY;\n lower = 0.0;\n upper = node.getParent().getHeight();\n }\n\n if (newValue < lower \|\| newValue > upper) {\n return Double.NEGATIVE_INFINITY;\n }\n\n if (newValue == value) {\n // this saves calculating the posterior\n return Double.NEGATIVE_INFINITY;\n }\n\n if (fake != null) {\n fake.setHeight(newValue);\n }\n node.setHeight(newValue);\n\n if (newValue < 0) {\n for (int i=0; i<tree.getNodeCount(); i++){\n double oldHeight = tree.getNode(i).getHeight();\n tree.getNode(i).setHeight(oldHeight-newValue);\n }\n } else {\n boolean dateShiftDown = true;\n for (int i=0; i< tree.getLeafNodeCount(); i++){\n if (tree.getNode(i).getHeight() == 0){\n dateShiftDown = false;\n break;\n }\n }\n if (dateShiftDown) {\n ArrayList<Double> tipNodeHeights= new ArrayList<Double>();\n for (int i=0; i<tree.getLeafNodeCount(); i++){\n tipNodeHeights.add(tree.getNode(i).getHeight());\n }\n Collections.sort(tipNodeHeights);\n double shiftDown = tipNodeHeights.get(0);\n for (int i=0; i<tree.getNodeCount(); i++){\n double oldHeight = tree.getNode(i).getHeight();\n tree.getNode(i).setHeight(oldHeight-shiftDown);\n }\n }\n }\n\n boolean check = true;\n for (int i=0; i<tree.getNodeCount(); i++){\n if (tree.getNode(i).getHeight() < 0) {\n System.out.println(\"Negative height found\");\n System.exit(0);\n }\n if (tree.getNode(i).getHeight() == 0) {\n check = false;\n }\n }\n if (check) {\n System.out.println(\"There is no 0 height node\");\n System.exit(0);\n }\n\n //tree.setEverythingDirty(true);\n\n return 0.0;\n }", "public void onTestFailedButWithinSuccessPercentage(ITestResult arg0) {\n\t\n}", "@Override\n\tprotected DeterministicEvaluationAspect getFixture() {\n\t\treturn (DeterministicEvaluationAspect)fixture;\n\t}", "@Test(timeout = 4000)\n public void test101() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n Vector<Integer> vector0 = new Vector<Integer>();\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertNotNull(vector0);\n \n resultMatrixSignificance0.m_HeaderKeys = vector0;\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertTrue(resultMatrixSignificance0.m_HeaderKeys.isEmpty());\n assertEquals(\"[]\", resultMatrixSignificance0.m_HeaderKeys.toString());\n assertEquals(0, resultMatrixSignificance0.m_HeaderKeys.size());\n assertEquals(10, resultMatrixSignificance0.m_HeaderKeys.capacity());\n \n boolean boolean0 = vector0.add((Integer) 0);\n assertEquals(10, vector0.capacity());\n assertEquals(1, vector0.size());\n assertEquals(\"[0]\", vector0.toString());\n assertFalse(vector0.isEmpty());\n assertTrue(vector0.contains(0));\n assertTrue(boolean0);\n \n int int0 = resultMatrixSignificance0.getDefaultMeanWidth();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n \n String string0 = resultMatrixSignificance0.getRevision();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n resultMatrixSignificance0.setOptions((String[]) null);\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(618, 691);\n }", "@org.junit.Test\r\n public void testPayBackSumShouldBeSameOrHigher() {\r\n Prospect p = new Prospect(\"Doris\", 1000, 5, 2);\r\n MortgageCalculation m = new MortgageCalculation(p);\r\n double result = m.getFixedMonthlyPayment();\r\n double payBackSum = result * p.getYears() * 12;\r\n\r\n assertTrue(payBackSum >= p.getTotalLoan());\r\n }", "@Test(timeout = 4000)\n public void test44() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n boolean boolean0 = naiveBayesMultinomialText0.getNormalizeDocLength();\n assertEquals(1.0, naiveBayesMultinomialText0.getNorm(), 0.01);\n assertEquals(0, naiveBayesMultinomialText0.getPeriodicPruning());\n assertFalse(naiveBayesMultinomialText0.getUseWordFrequencies());\n assertFalse(boolean0);\n assertEquals(2.0, naiveBayesMultinomialText0.getLNorm(), 0.01);\n assertEquals(3.0, naiveBayesMultinomialText0.getMinWordFrequency(), 0.01);\n }", "public double getAbandonmentProbability() {\n return Math.random();\n }" ]	[ "0.65514165", "0.6373037", "0.56071705", "0.5577951", "0.54495406", "0.53771555", "0.5315814", "0.5312208", "0.53063434", "0.5264601", "0.52399904", "0.5237213", "0.5223015", "0.5222607", "0.5178143", "0.5177531", "0.5144026", "0.51180667", "0.5097437", "0.50397587", "0.5035164", "0.5033419", "0.5000911", "0.49928144", "0.49912575", "0.4963517", "0.4949308", "0.49125868", "0.49120197", "0.49085224", "0.48993033", "0.48969504", "0.48950195", "0.48943612", "0.48932981", "0.4887982", "0.48833817", "0.48735613", "0.48694304", "0.48480147", "0.48443192", "0.48426402", "0.4839302", "0.48383698", "0.48324722", "0.48320302", "0.48238912", "0.48235035", "0.48147026", "0.48137736", "0.48134312", "0.48111126", "0.48077577", "0.48045135", "0.47950184", "0.4792924", "0.47876686", "0.47819299", "0.4775417", "0.47720957", "0.47717986", "0.47633952", "0.4740728", "0.47362262", "0.47195947", "0.47126538", "0.4709268", "0.47031352", "0.46995026", "0.46898118", "0.46808508", "0.4678501", "0.46760395", "0.467378", "0.46656102", "0.46618956", "0.4659578", "0.46592042", "0.4656775", "0.4656775", "0.4656775", "0.4656775", "0.4647046", "0.46467757", "0.46442232", "0.46427006", "0.46406576", "0.4640612", "0.4636896", "0.4633819", "0.46285877", "0.46285877", "0.4627206", "0.46264714", "0.46263942", "0.4625962", "0.4624496", "0.46218875", "0.46187717", "0.461632" ]	0.8327207	0
Test of fingerprintAutocorrelation method, of class MarkovModelUtilities.	@Test public void testFingerprintAutocorrelation() { IDoubleArray M = null; IDoubleArray observable = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.fingerprintAutocorrelation(M, observable); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.autocorrelation(M, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testFingerprintCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintCorrelation(M, observable1, observable2);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testFingerprintPerturbation()\n {\n IDoubleArray M = null;\n IDoubleArray p0 = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintPerturbation(M, p0, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.correlation(M, observable1, observable2, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n\tpublic void testClassifier() {\n\t\t// Ensure there are no intermediate files left in tmp directory\n\t\tFile exampleFile = FileUtils.getTmpFile(FusionClassifier.EXAMPLE_FILE_NAME);\n\t\tFile predictionsFile = FileUtils.getTmpFile(FusionClassifier.PREDICTIONS_FILE_NAME);\n\t\texampleFile.delete();\n\t\tpredictionsFile.delete();\n\t\t\n\t\tList<List<Double>> columnFeatures = new ArrayList<>();\n\t\tSet<String> inputRecognizers = new HashSet();\n\t\tList<Map<String, Double>> supportingCandidates = new ArrayList();\n\t\tList<Map<String, Double>> competingCandidates = new ArrayList();\n\t\t\n\t\t// Supporting candidates\n\t\tMap<String, Double> supportingCandidatesTipo = new HashMap();\n\t\tsupportingCandidatesTipo.put(INPUT_RECOGNIZER_ID, TIPO_SIMILARITY_SCORE);\n\t\tsupportingCandidates.add(supportingCandidatesTipo);\n\n\t\tMap<String, Double> supportingCandidatesInsegna = new HashMap();\n\t\tsupportingCandidatesInsegna.put(INPUT_RECOGNIZER_ID, INSEGNA_SIMILARITY_SCORE);\n\t\tsupportingCandidates.add(supportingCandidatesInsegna);\n\t\t\n\t\t// Competing candidates\n\t\tMap<String, Double> competingCandidatesTipo = new HashMap();\n\t\tcompetingCandidatesTipo.put(INPUT_RECOGNIZER_ID, 0.);\n\t\tcompetingCandidates.add(competingCandidatesTipo);\n\t\tMap<String, Double> competingCandidatesInsegna = new HashMap();\n\t\tcompetingCandidatesInsegna.put(INPUT_RECOGNIZER_ID, 0.);\n\t\tcompetingCandidates.add(competingCandidatesInsegna);\n\n\t\t// Two columns: insegna and tipo from osterie_tipiche\n\t\t// A single column feature: uniqueness\n\t\tList<Double> featuresTipo = new ArrayList();\n\t\tfeaturesTipo.add(0.145833);\n\t\tcolumnFeatures.add(featuresTipo);\n\t\t\n\t\tList<Double> featuresInsegna = new ArrayList();\n\t\tfeaturesInsegna.add(1.0);\n\t\tcolumnFeatures.add(featuresInsegna);\n\t\t\n\t\t// A single input recognizer\n\t\tinputRecognizers.add(INPUT_RECOGNIZER_ID);\n\n\t\t// Create the classifier\n\t\tFusionClassifier classifier \n\t\t\t= new FusionClassifier(FileUtils.getSVMModelFile(MINIMAL_FUSION_CR_NAME), \n\t\t\t\t\tcolumnFeatures, \n\t\t\t\t\tRESTAURANT_CONCEPT_ID, \n\t\t\t\t\tinputRecognizers);\n\t\tList<Double> predictions \n\t\t\t= classifier.classifyColumns(supportingCandidates, competingCandidates);\n\t\t\n\t\tboolean tipoIsNegativeExample = predictions.get(0) < -0.5;\n\t\t\n//\t\tTODO This currently doesn't work -- need to investigate\n//\t\tboolean insegnaIsPositiveExample = predictions.get(1) > 0.5;\n\t\t\n\t\tassertTrue(tipoIsNegativeExample);\n//\t\tassertTrue(insegnaIsPositiveExample);\n\t\t\n\ttry {\n\t\tSystem.out.println(new File(\".\").getCanonicalPath());\n\t\tSystem.out.println(getClass().getProtectionDomain().getCodeSource().getLocation());\n\t} catch (IOException e) {\n\t\t// TODO Auto-generated catch block\n\t\te.printStackTrace();\n\t}\n\t\t\n\t}", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test194() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n int int0 = ResultMatrix.SIGNIFICANCE_WIN;\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getVisibleRowCount();\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n intArray0[1] = 1;\n intArray0[2] = 0;\n resultMatrixSignificance0.m_RowOrder = intArray0;\n resultMatrixSignificance0.setSignificanceWidth(1);\n resultMatrixSignificance0.getSignificance(1, 322);\n assertEquals(1, resultMatrixSignificance0.getSignificanceWidth());\n }", "@Test\n public void test_0040() {\n AutoCovariance instance = new AutoCovariance(\n new ARIMAModel(new double[]{0.3, -0.2, 0.05, 0.04}, 0, new double[]{0.2, 0.5}),\n 1, 10);\n\n assertEquals(1.461338, instance.evaluate(0), 1e-5);\n assertEquals(0.764270, instance.evaluate(1), 1e-5);\n assertEquals(0.495028, instance.evaluate(2), 1e-5);\n assertEquals(0.099292, instance.evaluate(3), 1e-5);\n assertEquals(0.027449, instance.evaluate(4), 1e-5);\n assertEquals(0.043699, instance.evaluate(5), 1e-5);\n assertEquals(0.032385, instance.evaluate(6), 1e-5);\n assertEquals(0.006320, instance.evaluate(7), 1e-5);\n assertEquals(-0.001298186, instance.evaluate(8), 1e-5);\n assertEquals(0.001713744, instance.evaluate(9), 1e-5);\n assertEquals(0.002385183, instance.evaluate(10), 1e-5);\n }", "@LargeTest\n public void testFisheyeApproximateRelaxed() {\n TestAction ta = new TestAction(TestName.FISHEYE_APPROXIMATE_RELAXED);\n runTest(ta, TestName.FISHEYE_APPROXIMATE_RELAXED.name());\n }", "@Test(timeout = 4000)\n public void test144() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getDefaultMeanWidth();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n resultMatrixSignificance0.setCountWidth(1);\n intArray0[1] = 0;\n intArray0[2] = 0;\n resultMatrixSignificance0.m_RowOrder = intArray0;\n resultMatrixSignificance0.getSignificance(0, 322);\n int int1 = resultMatrixSignificance0.getSignificanceWidth();\n assertEquals(1, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, int1);\n }", "@Test(timeout = 4000)\n public void test184() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n intArray0[1] = intArray2;\n int[] intArray3 = new int[0];\n intArray0[2] = intArray3;\n int[] intArray4 = new int[6];\n intArray4[1] = 0;\n intArray4[2] = 2;\n intArray4[3] = 0;\n resultMatrixGnuPlot0.getRevision();\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.toStringRanking();\n int int0 = resultMatrixSignificance0.getDisplayCol(2);\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\n assertEquals((-1), int0);\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n }", "@Test(timeout = 4000)\n public void test135() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[1] = intArray0[0];\n int[] intArray2 = new int[0];\n intArray0[2] = intArray2;\n int[] intArray3 = new int[6];\n intArray3[1] = 0;\n String string0 = resultMatrixGnuPlot0.doubleToString(0, 0);\n assertEquals(\"0.\", string0);\n \n intArray3[2] = 2;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int int1 = resultMatrixSignificance0.getSignificance(2469, 0);\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, int1);\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n }", "@Test(timeout = 4000)\n public void test058() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[4];\n double[] doubleArray0 = new double[7];\n doubleArray0[3] = (double) 1;\n String[] stringArray1 = resultMatrixSignificance0.getOptions();\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertNotNull(stringArray1);\n assertNotSame(stringArray1, stringArray0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(18, stringArray1.length);\n assertFalse(stringArray1.equals((Object)stringArray0));\n \n doubleArray0[6] = (double) 0;\n stringArray0[3] = \")\";\n try { \n resultMatrixSignificance0.setOptions(stringArray0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Utils\", e);\n }\n }", "public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\n }", "@Test(timeout = 4000)\n public void test085() throws Throwable {\n int[] intArray0 = new int[2];\n intArray0[0] = 0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(166, 0);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(166, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(166, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int int0 = ResultMatrix.SIGNIFICANCE_LOSS;\n assertEquals(2, int0);\n \n int int1 = resultMatrixSignificance0.getDefaultRowNameWidth();\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(166, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(166, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(40, int1);\n assertFalse(int1 == int0);\n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixPlainText0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[2];\n stringArray0[0] = \")\";\n resultMatrixSignificance0.m_EnumerateRowNames = true;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n stringArray0[1] = \"5GOL?NR}\";\n resultMatrixPlainText0.setOptions(stringArray0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, stringArray0.length);\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"a\", string0);\n \n int[][] intArray0 = new int[3][8];\n int[] intArray1 = new int[3];\n intArray1[0] = 2;\n intArray1[1] = 1;\n intArray1[2] = 2;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[3];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 2;\n intArray2[1] = 1;\n intArray2[2] = 1;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[6];\n assertFalse(intArray3.equals((Object)intArray2));\n assertFalse(intArray3.equals((Object)intArray1));\n \n intArray3[0] = 1;\n intArray3[1] = 1;\n intArray3[2] = 1;\n intArray3[3] = 0;\n intArray3[4] = 2;\n intArray3[5] = 2;\n intArray0[2] = intArray3;\n resultMatrixSignificance0.m_Significance = intArray0;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n boolean boolean0 = resultMatrixPlainText0.isSignificance((-2));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int int0 = resultMatrixPlainText0.getDefaultRowNameWidth();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(25, int0);\n \n resultMatrixPlainText0.setMean(2, 25, 0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string1 = resultMatrixSignificance0.toStringSummary();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n }", "@Test\n\tpublic void testBalancesArff() {\n\t\tfinal String path =\t\"C:/julio/dev/R/\";\n\t\tfinal String inputFile = \"20150526_0501_2013_y_2014-refined.txt\";\n\t\tfinal String outputFile = \"mocoNofuncional.arff\";\n\t\tfinal String outputFile2 = \"20150526_0501_2013_y_2014-refined.arff\";\n\t\t\n//\t\tfinal String inputFile2 = \"2015-1_enclosed-train.txt\";\n//\t\tfinal String outputFile22 = \"dummy-train.arff\";\n//\t\tfinal String outputFile222 = \"2015-1_enclosed-train.arff\";\n\n\t\tarmarArff(path, inputFile, outputFile, outputFile2);\n//\t\tarmarArff(path, inputFile2, outputFile22, outputFile222);\n\n\t}", "@Test\n public void testPerturbationExpectation()\n {\n IDoubleArray M = null;\n IDoubleArray pi0 = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.perturbationExpectation(M, pi0, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void testRecognizer() {\n\t\tfinal int TIPO_COLUMN_NUMBER = 4;\n\t\tfinal int INSEGNA_COLUMN_NUMBER = 3;\n\t\tfinal String FUSION_CR_ID = \"fusion\";\n\t\tfinal String CSV_PATH = \"/tables/Elenco_osterie_tipiche_civici.1386925759.csv\";\n\t\tfinal char COLUMN_SEPARATOR = ';';\n\n\t\t// Load CSV file\n//\t\tFile csvFile = new File(CSV_PATH); \n\t\tFile csvFile = FileUtils.getResourceFile(CSV_PATH);\n\t\tRowTable rowTable = RowTable.loadFromCSV(csvFile, COLUMN_SEPARATOR);\n\t\trowTable.removeHeaders();\n\t\t\n\t\t// Create recognizer\n\t\tSet<String> inputRecognizers = new HashSet<String>();\n\t\tinputRecognizers.add(INPUT_RECOGNIZER_ID);\n\t\tFile modelFile = FileUtils.getSVMModelFile(TWO_FEATURES_OSTERIE_CR_NAME);\n\t\tClassifierFusionCR fusionCR \n\t\t\t= new ClassifierFusionCR(FUSION_CR_ID, \n\t\t\t\t\tRESTAURANT_CONCEPT_ID, \n\t\t\t\t\trowTable, \n\t\t\t\t\tmodelFile, \n\t\t\t\t\tinputRecognizers);\n\t\t\n\t\t// Make list of candidates\n\t\tList<ColumnConceptCandidate> candidates = new ArrayList<ColumnConceptCandidate>();\n\t\tColumnConceptCandidate tipoCandidate\n\t\t\t= new ColumnConceptCandidate(TIPO_COLUMN_NUMBER, \n\t\t\t\t\tRESTAURANT_CONCEPT_ID, \n\t\t\t\t\tTIPO_SIMILARITY_SCORE,\n\t\t\t\t\tINPUT_RECOGNIZER_ID);\n\t\tcandidates.add(tipoCandidate);\n\t\tColumnConceptCandidate insegnaCandidate\n\t\t\t= new ColumnConceptCandidate(INSEGNA_COLUMN_NUMBER, \n\t\t\t\tRESTAURANT_CONCEPT_ID, \n\t\t\t\tINSEGNA_SIMILARITY_SCORE,\n\t\t\t\tINPUT_RECOGNIZER_ID);\n\t\tcandidates.add(insegnaCandidate);\n\t\t\n\t\t// Run recognizer\n\t\tfusionCR.computeScoredCandidates(candidates);\n\t\t\n\t\t// Make sure input candidates are gone...\n\t\tassertTrue(candidates.size() == 1);\n\t\t// ... and replaced with a new fusion candidate\n\t\tColumnConceptCandidate resultingCandidate = candidates.get(0);\n\t\tassertTrue(resultingCandidate.getOriginator().equals(FUSION_CR_ID));\n\t\t\n\t\t// Verify the score of the fusion candidate\n\t\tassertTrue(resultingCandidate.getScore() > 0.7);\n\t}", "@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }", "@Test(timeout = 4000)\n public void test101() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n Vector<Integer> vector0 = new Vector<Integer>();\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertNotNull(vector0);\n \n resultMatrixSignificance0.m_HeaderKeys = vector0;\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertTrue(resultMatrixSignificance0.m_HeaderKeys.isEmpty());\n assertEquals(\"[]\", resultMatrixSignificance0.m_HeaderKeys.toString());\n assertEquals(0, resultMatrixSignificance0.m_HeaderKeys.size());\n assertEquals(10, resultMatrixSignificance0.m_HeaderKeys.capacity());\n \n boolean boolean0 = vector0.add((Integer) 0);\n assertEquals(10, vector0.capacity());\n assertEquals(1, vector0.size());\n assertEquals(\"[0]\", vector0.toString());\n assertFalse(vector0.isEmpty());\n assertTrue(vector0.contains(0));\n assertTrue(boolean0);\n \n int int0 = resultMatrixSignificance0.getDefaultMeanWidth();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n \n String string0 = resultMatrixSignificance0.getRevision();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n resultMatrixSignificance0.setOptions((String[]) null);\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(618, 691);\n }", "@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }", "@LargeTest\n public void testFisheyeApproximateFull() {\n TestAction ta = new TestAction(TestName.FISHEYE_APPROXIMATE_FULL);\n runTest(ta, TestName.FISHEYE_APPROXIMATE_FULL.name());\n }", "@Test\n\tpublic void testCellularAutomaton() {\n\t\t//Test update() function\n\t\t//Expect result\n\t\t//result1 = new int[][] {{auto.NONE, auto.PREDATOR, auto.PREDATOR},{auto.PREDATOR, auto.PREDATOR, auto.PREDATOR},{auto.PREY, auto.PREY, auto.PREY}};\n\t\t\n\t\t//use update() function\n\t\t//auto.update(autoGrid, auto.PREY, auto.PREDATOR, auto.preyProb);\n\t\t//result2 = auto.getGrid();\n\t\t\n\t\t//Compare each elements...\n\t\t/for (int i = 0; i < 3; i++) {\n\t\t\tfor (int j = 0; j < 3; j++) {\n\t\t\t\tassertTrue(result1[i][j]==result2[i][j]);\n\t\t\t}\n\t\t}/\n\t\t\n\t\t\n\t\t/\n\t\t Test step() function\n\t\t /\n\t\t//Expect result\n\t\tresult3 = new int[][] {{auto.NONE, auto.PREDATOR, auto.PREY},{auto.PREDATOR, auto.PREDATOR, auto.PREDATOR},{auto.PREY, auto.PREY, auto.PREY}};\n\t\t\n\t\t//set grid as the preset autoGrid\n\t\tauto.setGrid(autoGrid);\n\t\tauto.step();\n\t\t\n\t\t//get the real actual result\n\t\tresult4 = auto.getGrid();\n\t\t\n\t\t//Compare each elements...\n\t\tfor (int i = 0; i < 3; i++) {\n\t\t\tfor (int j = 0; j < 3; j++) {\n\t\t\t\tassertTrue(result3[i][j]==result4[i][j]);\n\t\t\t}\n\t\t}\n\t}", "public void fuzzify() {\n ImageArray newCopy = currentIm.copy();\n \n int rows= currentIm.getRows();\n int cols= currentIm.getCols();\n \n for(int rr = 1; rr < rows-1; rr++){\n \n for(int cc = 1; cc < cols-1; cc++){\n fuzPixel(rr,cc,newCopy);\n \n }\n \n }\n \n currentIm = newCopy.copy();\n \n \n }", "@Test(timeout = 4000)\n public void test05() throws Throwable {\n FileUtil fileUtil0 = new FileUtil();\n fileUtil0.getSimilarItems(\"B}\", \"B}\");\n fileUtil0.fetchThirdPartySearchFile(\"B}\", \"B}\", \"cacheLife\", \"B}\");\n fileUtil0.downloadBlendedSearchFile(\"=L@Nby{Di&?l\|EZ}\", \"a_\");\n fileUtil0.downloadKeywordSearchFile(\"B}\", \"net.kencochrane.a4j.util.LoadProperties\", \"x\\u0005tTVG\|UMk^gu9G\", \"a_\");\n ArrayList<Object> arrayList0 = new ArrayList<Object>();\n fileUtil0.getAccessories(\"B}\", arrayList0);\n fileUtil0.fetchThirdPartySearchFile(\"cacheLife\", \"B}\", \"a_\", \"B}\");\n fileUtil0.downloadThirdPartySearchFile(\"U=S;l\", \"cacheLife\", \"-Z_,fpM\", \"B}\");\n fileUtil0.getAccessories(\"SimilaritySearch\", arrayList0);\n fileUtil0.fetchBlendedSearchFile(\"uGw{\", \"\");\n fileUtil0.downloadGenericSearchFile(\"net.kencochrane.a4j.util.LoadProperties\", \"onpA@0]L('o<c\", \"x\\u0005tTVG\|UMk^gu9G\", \"\", \"cacheDir\", \"\");\n fileUtil0.downloadSimilaritesFile(\"-\", \"Fx t/ABA $rQxMfp{z\", \"6gl>oYZ}.(oH\|s96@\");\n fileUtil0.downloadThirdPartySearchFile(\"=L@Nby{Di&?l\|EZ}\", \"-\", \"SimilaritySearch\", \"\");\n File file0 = fileUtil0.downloadBlendedSearchFile(\"\", \"-Z_,fpM\");\n assertNull(file0);\n }", "@Override\n public void testPeriodic()\n {\n // test is currently built to debug cargo arm placements\n // press 'A' on the second controller to output the encoder's position\n // and whatever angle it thinks we're at\n // press 'Select' on p2 to re-zero the cargo arm\n \n // cargoArm.armUp();\n \n if(driver2.pressed(driver2.A))\n {\n System.out.println(\"Cargo arm is at encoder value: \" + cargoArm.encCargoArm.position());\n System.out.println(\"Which is \" + (cargoArm.encCargoArm.angle() + cargoArm.ZERO_ANGLE) + \" degrees.\");\n \n System.out.println(\"Hatch finger is at encoder value: \" + hatchArm.fingerEncValue());\n }\n if(driver2.pressed(driver2.Select))\n {\n cargoArm.zeroEncoder();\n System.out.println(\"Cargo arm zeroed.\");\n\n hatchArm.zero();\n System.out.println(\"Hatch finger zeroed.\");\n\n hatchArm.finger_target = 0;\n hatchArm.finger_moving = false;\n hatchArm.dirMoving = 0;\n }\n \n // if(driver2.pressed(driver2.B))\n // {\n // cargoArm.armPositionTarget = testGoalAngle 56.9;\n // //double forceToApply = cargoArm.getArmCalculation();\n // System.out.println(\"To reach the goal of \" + testGoalAngle + \", the following force would be applied: \" + forceToApply);\n // }\n \n // adjust test goal angle to combine with the above to see, without moving, a cargo arm motor speed to apply\n if(driver2.dpad(driver2.Up))\n {\n testGoalAngle += 5;\n cargoArm.armPositionTarget = testGoalAngle * 56.9;\n System.out.println(\"Test goal angle incremented to \" + testGoalAngle);\n }\n if(driver2.dpad(driver2.Down))\n {\n testGoalAngle -= 5;\n \n cargoArm.armPositionTarget = testGoalAngle * 56.9;\n System.out.println(\"Test goal angle decremented to \" + testGoalAngle);\n }\n \n // // adjust gravitational constant for on-the-go tweak testing\n // // if you don't know what you're doing, do not try to do this!\n // if(driver2.pressed(driver2.R1))\n // {\n // cargoArm.GRAV_CONSTANT += 0.02;\n // System.out.println(\"Gravitational constant incremented to \" + cargoArm.GRAV_CONSTANT);\n // }\n // if(driver2.pressed(driver2.L1))\n // {\n // cargoArm.GRAV_CONSTANT -= 0.02;\n // System.out.println(\"Gravitational constant decremented to \" + cargoArm.GRAV_CONSTANT);\n // }\n // button 7: L2\n // button 8: R2\n // L2 will reverse the finger\n // R2 will rotate it forward\n if(driver2.down(driver2.L1))\n {\n hatchArm.rotateFinger(1);\n }\n else\n {\n if(driver2.down(driver2.L2))\n {\n hatchArm.rotateFinger(-1);\n }\n else\n {\n hatchArm.rotateFinger(0);\n }\n }\n hatchArm.periodic();\n\n if(driver2.pressed(driver2.B))\n {\n hatchArm.toggleFinger();\n }\n\n // test brake power\n if(driver2.pressed(driver2.Start))\n {\n cargoArm.toggleBrake();\n System.out.println(\"Bike brake toggled to: \" + cargoArm.solArmBrake.get());\n }\n\n // press 'x' to toggle whether or not arm should attempt to ONLY counterract the force of gravity\n // use this to check if the grav constant is correct. if it is, the arm should not fall\n if(driver2.pressed(driver2.X))\n {\n cargoArm.toggleArmLock();\n System.out.println(\"Arm lock toggled.\");\n if(cargoArm.armLockEnabled)\n {\n System.out.println(\"Arm should stay constant at given location.\");\n }\n }\n\n // if(driver2.down(driver2.L2) && driver2.pressed(driver2.R2))\n // {\n // movementInTest = !movementInTest;\n // if(movementInTest)\n // {\n // System.out.println(\"Movement in test has been enabled!\");\n // }\n // else\n // {\n // System.out.println(\"Movement in test has been disabled.\");\n // }\n // }\n if(driver2.pressed(driver2.R1))\n {\n System.out.println(\"Moving hatch finger to UP\");\n hatchArm.fingerUp();\n }\n if(driver2.pressed(driver2.R2))\n {\n System.out.println(\"Moving hatch finger to GRAB\");\n hatchArm.fingerGrab();\n }\n\n // if(movementInTest)\n // {\n // cargoArm.rotateArm(cargoArm.getArmCalculation());\n // }\n \n // // this is an attempt to read values from the DriverStation so we can edit constants without redeploying\n // // this may need tweaking b/c the resource that said this was possible was from 2013\n // if(driver2.pressed(driver2.Start))\n // {\n // System.out.println(\"Grabbing constants from Smart Dashboard...\");\n // cargoArm.GRAV_CONSTANT = prefs.getDouble(\"Grav_Constant\", 0.5);\n // // cargoArm.ENCODER_RATIO = prefs.getDouble(\"Cargo_Gear_Ratio\", 1);\n // cargoArm.armPositions[1] = prefs.getDouble(\"Cargo_Full_Down_Pos\", -6000);\n // }\n\n }", "@Test\n @DisplayName(\"Action Marker Black Cross Once Test\")\n public void ActionMarkerCrossOnceTest() throws IOException, InterruptedException {\n ActionMarkerForCrossOnce actionMarker = new ActionMarkerForCrossOnce();\n Server server= new Server();\n ClientHandler clientHandler= new ClientHandler(server);\n ClientController clientController= new ClientController(server,clientHandler) ;\n VirtualView virtualView = new VirtualView(clientController);\n\n GameSolitaire game = new GameSolitaire(\"Ali\",true,clientController);\n\n assertEquals(\"ActionMarkerForCrossOnce\", actionMarker.getType());\n\n assertEquals(0, game.getLorenzoFaithIndicator());\n\n game.activateActionMarker(actionMarker);\n\n assertEquals(1, game.getLorenzoFaithIndicator());\n\n game.activateActionMarker(actionMarker);\n\n assertEquals(2, game.getLorenzoFaithIndicator());\n\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n\n assertEquals(4, game.getLorenzoFaithIndicator());\n\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n\n assertEquals(8, game.getLorenzoFaithIndicator());\n\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n\n assertEquals(12, game.getLorenzoFaithIndicator());\n\n FileClass.FileDestroyer();\n\n }", "@Test(timeout = 4000)\n public void test193() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(0, 1235);\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n resultMatrixGnuPlot0.toStringRanking();\n int[] intArray0 = new int[8];\n intArray0[0] = 0;\n intArray0[1] = 1;\n intArray0[2] = 1;\n resultMatrixSignificance0.LOSS_STRING = \"\";\n intArray0[3] = 0;\n intArray0[4] = 1235;\n intArray0[5] = 0;\n intArray0[6] = 2;\n intArray0[7] = 1;\n resultMatrixSignificance0.m_ColOrder = intArray0;\n resultMatrixGnuPlot0.colNameWidthTipText();\n resultMatrixGnuPlot0.getCount(0);\n resultMatrixSignificance0.m_RankingLosses = intArray0;\n resultMatrixGnuPlot0.getSignificance(0, 2);\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n \n resultMatrixGnuPlot0.setStdDevWidth(0);\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n }", "@Test\n public void test_IsOxideCorr() {\n System.out.println(\"Testing MeasuredRatioModel's isOxideCorr()\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = false;\n boolean result = instance.isOxideCorr();\n assertEquals(expResult, result);\n instance = new MeasuredRatioModel(\"Specific\",new BigDecimal(\"213\"),\"ABS\",new BigDecimal(\"0.4324\"),true,true);\n result = instance.isOxideCorr();\n expResult=true;\n assertEquals(expResult, result);\n }", "private void test() {\r\n \ttry {\r\n\t\t\ttestWriter.write(\"Testing started...\");\r\n\t\t\r\n\t\t\tpredictions = new HashMap<>();\r\n \trightAnswers = new HashMap<>();\r\n\r\n\r\n \t// Get results and check them\r\n \tEvaluation eval = new Evaluation(numLabels);\r\n \tfinalTestIterator.reset();\r\n\r\n \tint metaDataCounter = 0;\r\n \tint addrCounter = 0;\r\n\r\n \twhile(finalTestIterator.hasNext()) {\r\n \t// If iterator has next dataset\r\n \tfinalTestData = finalTestIterator.next();\r\n \t// Get meta-data from this dataset\r\n\r\n \t@SuppressWarnings(\"rawtypes\")\r\n \tList<?> exampleMetaData = finalTestData.getExampleMetaData();\r\n \tIterator<?> exampleMetaDataIterator = exampleMetaData.iterator();\r\n \ttestWriter.write(\"\\n Metadata from dataset #\" + metaDataCounter + \":\\n\");\r\n \tSystem.out.println(\"\\n Metadata from dataset #\" + metaDataCounter + \":\\n\");\r\n\r\n \t// Normalize data\r\n \tnormalizer.fit(finalTestData);\r\n\r\n \t// Count processed images\r\n \tnumProcessed = (metaDataCounter + 1) * batchSizeTesting;\r\n \tloaded.setText(\"Loaded and processed: \" + numProcessed + \" pictures\");\r\n\r\n \tINDArray features = finalTestData.getFeatures();\r\n \tINDArray labels = finalTestData.getLabels();\r\n \tSystem.out.println(\"\\n Right labels #\" + metaDataCounter + \":\\n\");\r\n \ttestWriter.write(\"\\n Right labels #\" + metaDataCounter + \":\\n\");\r\n \t// Get right answers of NN for every input object\r\n \tint[][] rightLabels = labels.toIntMatrix();\r\n \tfor (int i = 0; i < rightLabels.length; i++) {\r\n \tRecordMetaDataURI metaDataUri = (RecordMetaDataURI) exampleMetaDataIterator.next();\r\n \t// Print address of image\r\n \tSystem.out.println(metaDataUri.getLocation());\r\n \tfor (int j = 0; j < rightLabels[i].length; j++) {\r\n \tif(rightLabels[i][j] == 1) {\r\n \t//public V put(K key, V value) -> key=address, value=right class label\r\n \trightAnswers.put(metaDataUri.getLocation(), j);\r\n \tthis.addresses.add(metaDataUri.getLocation());\r\n \t}\r\n \t}\r\n \t}\r\n \tSystem.out.println(\"\\nRight answers:\");\r\n \ttestWriter.write(\"\\nRight answers:\");\r\n \t// Print right answers\r\n \tfor(Map.Entry<String, Integer> answer : predictions.entrySet()){\r\n \t\ttestWriter.write(String.format(\"Address: %s Right answer: %s \\n\", answer.getKey(), answer.getValue().toString()));\r\n \tSystem.out.printf(String.format(\"Address: %s Right answer: %s \\n\", answer.getKey(), answer.getValue().toString()));\r\n \t}\r\n\r\n \t// Evaluate on the test data\r\n \tINDArray predicted = vgg16Transfer.outputSingle(features);\r\n \tint predFoundCounter = 0;\r\n \tSystem.out.println(\"\\n Labels predicted #\" + metaDataCounter + \":\\n\");\r\n \ttestWriter.write(\"\\n Labels predicted #\" + metaDataCounter + \":\\n\");\r\n \t// Get predictions of NN for every input object\r\n \tint[][] labelsPredicted = predicted.toIntMatrix();\r\n \tfor (int i = 0; i < labelsPredicted.length; i++) {\r\n \tfor (int j = 0; j < labelsPredicted[i].length; j++) {\r\n \tpredFoundCounter++;\r\n \tif(labelsPredicted[i][j] == 1) {\r\n \t//public V put(K key, V value) -> key=address, value=predicted class label\r\n \tpredFoundCounter = 0;\r\n \tthis.predictions.put(this.addresses.get(addrCounter), j);\r\n \t}\r\n \telse {\r\n \tif (predFoundCounter == 3) {\r\n \t// To fix bug when searching positive predictions\r\n \tthis.predictions.put(this.addresses.get(addrCounter), 2);\r\n \t}\r\n \t}\r\n \t}\r\n \taddrCounter++;\r\n \t}\r\n \tSystem.out.println(\"\\nPredicted:\");\r\n \ttestWriter.write(\"\\nPredicted:\");\r\n \t// Print predictions\r\n \tfor(Map.Entry<String, Integer> pred : rightAnswers.entrySet()){\r\n \tSystem.out.printf(\"Address: %s Predicted answer: %s \\n\", pred.getKey(), pred.getValue().toString());\r\n \ttestWriter.write(String.format(\"Address: %s Predicted answer: %s \\n\", pred.getKey(), pred.getValue().toString()));\r\n \t}\r\n \tmetaDataCounter++;\r\n\r\n \teval.eval(labels, predicted);\r\n \t}\r\n\r\n \tSystem.out.println(\"\\n\\n Cheack loaded model on test data...\");\r\n \tSystem.out.println(String.format(\"Evaluation on test data - [Accuracy: %.3f, P: %.3f, R: %.3f, F1: %.3f] \",\r\n \t\t\teval.accuracy(), eval.precision(), eval.recall(), eval.f1()));\r\n \tSystem.out.println(eval.stats());\r\n \tSystem.out.println(eval.confusionToString());\r\n \ttestWriter.write(\"\\n\\n Cheack loaded model on test data...\");\r\n \ttestWriter.write(String.format(\"Evaluation on test data - [Accuracy: %.3f, P: %.3f, R: %.3f, F1: %.3f] \",\r\n \t\t\teval.accuracy(), eval.precision(), eval.recall(), eval.f1()));\r\n \ttestWriter.write(eval.stats());\r\n \ttestWriter.write(eval.confusionToString());\r\n\r\n \t// Save test rates\r\n \tthis.f1_score = eval.f1();\r\n \tthis.recall_score = eval.recall();\r\n \tthis.accuracy_score = eval.accuracy();\r\n \tthis.precision_score = eval.precision();\r\n \tthis.falseNegativeRate_score = eval.falseNegativeRate();\r\n \tthis.falsePositiveRate_score = eval.falsePositiveRate();\r\n\r\n \tthis.f1.setText(\"F1 = \" + String.format(\"%.4f\", f1_score));\r\n \tthis.recall.setText(\"Recall = \" + String.format(\"%.4f\", recall_score));\r\n \tthis.accuracy.setText(\"Accuracy = \" + String.format(\"%.4f\", accuracy_score));\r\n \tthis.precision.setText(\"Precision = \" + String.format(\"%.4f\", precision_score));\r\n \tthis.falseNegativeRate.setText(\"False Negative Rate = \" + String.format(\"%.4f\", falseNegativeRate_score));\r\n \tthis.falsePositiveRate.setText(\"False Positive Rate = \" + String.format(\"%.4f\", falsePositiveRate_score));\r\n \r\n \ttestWriter.write(\"F1 = \" + String.format(\"%.4f\", f1_score));\r\n \ttestWriter.write(\"Recall = \" + String.format(\"%.4f\", recall_score));\r\n \ttestWriter.write(\"Accuracy = \" + String.format(\"%.4f\", accuracy_score));\r\n \ttestWriter.write(\"Precision = \" + String.format(\"%.4f\", precision_score));\r\n \ttestWriter.write(\"False Negative Rate = \" + String.format(\"%.4f\", falseNegativeRate_score));\r\n \ttestWriter.write(\"False Positive Rate = \" + String.format(\"%.4f\", falsePositiveRate_score));\r\n\r\n \tshowBarChart();\r\n \t} catch (IOException e) {\r\n \t\tSystem.err.println(\"Error while writing to log file\");\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n }", "@Test(timeout = 4000)\n public void test177() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getVisibleRowCount();\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n intArray0[1] = 1;\n intArray0[2] = 0;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(1, 2);\n resultMatrixGnuPlot0.getDefaultColNameWidth();\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n ResultMatrixGnuPlot resultMatrixGnuPlot2 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot2.setRowHidden(0, false);\n assertEquals(1, resultMatrixGnuPlot2.getVisibleRowCount());\n \n resultMatrixSignificance0.getDefaultShowStdDev();\n resultMatrixSignificance0.headerKeys();\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n }", "@Test\n public void test11() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"xx\\\"qa7Q>h6u=;6s.h+.<\");\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.matthewsCorrelationCoefficient(0);\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test031() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixSignificance0.getRowName((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.m_StdDev = null;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n \n String string1 = resultMatrixSignificance0.getDisplayName();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Significance only\", string1);\n \n double double0 = resultMatrixSignificance0.getAverage((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixPlainText resultMatrixPlainText0 = null;\n try {\n resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Before\n\tpublic void setUp() throws Exception {\n\n\t\tcond = new EnsureMatchingFAPIInteractionId();\n\n\t\tcond.setProperties(\"UNIT-TEST\", eventLog, ConditionResult.INFO);\n\n\t\tenv.putString(\"fapi_interaction_id\", interactionId);\n\n\t}", "@Test\n public void test_0030() {\n AutoCovariance instance = new AutoCovariance(\n new ARIMAModel(\n new double[]{0.5},\n 0,\n new double[]{-0.8}),\n 1, 10);\n\n assertEquals(1.120000, instance.evaluate(0), 1e-5);\n assertEquals(-0.240000, instance.evaluate(1), 1e-5);\n assertEquals(-0.120000, instance.evaluate(2), 1e-5);\n assertEquals(-0.060000, instance.evaluate(3), 1e-5);\n assertEquals(-0.030000, instance.evaluate(4), 1e-5);\n assertEquals(-0.015000, instance.evaluate(5), 1e-5);\n assertEquals(-0.007500, instance.evaluate(6), 1e-5);\n assertEquals(-0.003750, instance.evaluate(7), 1e-5);\n assertEquals(-0.00187500, instance.evaluate(8), 1e-5);\n assertEquals(-0.00093750, instance.evaluate(9), 1e-5);\n assertEquals(-0.00046875, instance.evaluate(10), 1e-5);\n }", "@Test\n public void testLogLikelihoodCorrelationMatrix()\n {\n IDoubleArray corr = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihoodCorrelationMatrix(corr, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test046() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(16, 8);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[5];\n intArray0[0] = 16;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 16;\n intArray0[4] = 1;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {16, 2, 0, 16, 1}, intArray0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(5, intArray0.length);\n \n resultMatrixSignificance0.setColNameWidth(3);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setSignificanceWidth(16);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.setPrintRowNames(false);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.setStdDevPrec(0);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.m_RowOrder = intArray0;\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n \n resultMatrixGnuPlot0.setPrintColNames(true);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.clearSummary();\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixSignificance0.m_ColNameWidth = 8;\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(8, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n \n resultMatrixGnuPlot0.LEFT_PARENTHESES = \"weka/core/version.txt\";\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.toStringMatrix();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "@ParameterizedTest\n @ArgumentsSource(TestForestProvider.class)\n public void testMultipleAttributions(RandomCutForest forest) {\n int hardPass=0;\n int causal=0;\n double [] point ={6.0,0.0,0.0};\n DiVector result = forest.getAnomalyAttribution(point);\n assertTrue(result.low[0] < 0.2);\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.getHighLowSum(1) + result.getHighLowSum(2) < 1.0);\n assertTrue(result.high[0] > forest.getAnomalyScore(point)/3);\n if (result.high[0] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n // the last line states that first coordinate was high and was a majority contributor to the score\n // the previous test states that the contribution is twice the average of the 12 possible contributors.\n // these tests all subparts of the score at once\n\n point=new double [] {-6.0,0.0,0.0};\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.getHighLowSum()>1.0);\n assertTrue(result.high[0] < 0.5);\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.low[0] > forest.getAnomalyScore(point)/3);\n if (result.low[0] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n point=new double [] {0.0,6.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.low[1] < 0.5);\n assertTrue(result.high[1] > forest.getAnomalyScore(point)/3);\n if (result.high[1] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n point=new double [] {0.0,-6.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.high[1] < 0.5);\n assertTrue(result.low[1] > forest.getAnomalyScore(point)/3);\n if (result.low[1] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n point=new double [] {0.0,0.0,6.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n assertTrue(result.low[2] < 0.5);\n assertTrue(result.high[2] > forest.getAnomalyScore(point)/3);\n if (result.high[2] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n point=new double [] {0.0,0.0,-6.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.getHighLowSum(0) < 0.5) ++hardPass;\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n assertTrue(result.high[2] < 0.5);\n assertTrue(result.low[2] > forest.getAnomalyScore(point)/3);\n if (result.low[2] > 0.5 * forest.getAnomalyScore(point)) ++causal;\n\n\n assertTrue(causal>=5); // maximum is 6; there can be skew in one direction\n\n point=new double [] {-3.0,0.0,0.0};\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.high[0] < 0.5);\n if (result.getHighLowSum(1) < 0.5) ++hardPass;\n if (result.getHighLowSum(2) < 0.5) ++hardPass;\n assertTrue(result.low[0] >\n forest.getAnomalyScore(point)/3);\n\n /* For multiple causes, the relationship of scores only hold for larger\n * distances.\n /\n\n point=new double [] {-3.0,6.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n if (result.low[0] > 0.5) ++hardPass;\n assertTrue(result.high[0] < 0.5);\n assertTrue(result.low[1] < 0.5);\n assertTrue(result.high[1] > 0.5);\n if (result.high[1]>0.9) ++hardPass;\n assertTrue(result.getHighLowSum(2)< 0.5);\n assertTrue(result.high[1]+result.low[0]>\n 0.8forest.getAnomalyScore(point));\n\n point=new double [] {6.0,-3.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.low[0] < 0.5);\n assertTrue(result.high[0] > 0.5);\n if (result.high[0]>0.9) ++hardPass;\n if (result.low[1] > 0.5) ++hardPass;\n assertTrue(result.high[1] < 0.5);\n assertTrue(result.getHighLowSum(2) < 0.5);\n assertTrue(result.high[0]+result.low[1]>\n 0.8forest.getAnomalyScore(point));\n\n point=new double [] {20.0,-10.0,0.0};\n assertTrue(result.getHighLowSum()>1.0);\n result = forest.getAnomalyAttribution(point);\n assertTrue(result.high[0]+result.low[1]>\n 0.8forest.getAnomalyScore(point));\n if (result.high[0]>1.8result.low[1]) ++hardPass;\n if (result.low[1]>result.high[0]/2.2) ++hardPass;\n\n assertTrue(hardPass>=15); //maximum is 20\n }", "@Test\n public void testOTAUpdate() {\n final CountDownLatch latch = new CountDownLatch(1);\n FritzVision.StyleTransfer.loadPredictor(managedModel, new PredictorStatusListener<FritzVisionStylePredictor>() {\n @Override\n public void onPredictorReady(FritzVisionStylePredictor stylePredictor) {\n latch.countDown();\n }\n });\n\n try {\n latch.await(TIMEOUT_SECONDS, TimeUnit.SECONDS);\n } catch (InterruptedException e) {\n fail();\n }\n }", "@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test void perfect() {\n\t\tstandardScene();\n\t\tsimulateScene(0);\n\n\t\tvar alg = new DistanceMetricTripleReprojection23();\n\n\t\tvar model = new MetricCameraTriple();\n\t\tmodel.view1.setTo(cameraA);\n\t\tmodel.view2.setTo(cameraB);\n\t\tmodel.view3.setTo(cameraC);\n\t\tmodel.view_1_to_2.setTo(truthView_1_to_i(1));\n\t\tmodel.view_1_to_3.setTo(truthView_1_to_i(2));\n\n\t\talg.setModel(model);\n\n\t\tfor (AssociatedTriple a : observations3) {\n\t\t\tassertEquals(0.0, alg.distance(a), UtilEjml.TEST_F64);\n\t\t}\n\n\t\tvar set = observations3.subList(4, 11);\n\t\tvar distances = new double[set.size()];\n\t\talg.distances(set, distances);\n\t\tfor (int i = 0; i < distances.length; i++) {\n\t\t\tassertEquals(0.0, distances[i], UtilEjml.TEST_F64);\n\t\t}\n\t}", "@Test(timeout = 4000)\n public void test112() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n evaluation0.getHeader();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test104() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toClassDetailsString(\".arff\");\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01);\n assertEquals(\".arff\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\n 0 0 0 0 0 0 ? ? class1\\n 0 0 0 0 0 0 ? ? class2\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string0);\n }", "protected void preTest() {\n\t\tprintTestParmas();\n\t\tif (attenuatorSetUnderTest != null) {\n\t\t\tperipheralsConfig.setAttenuatorSetValue(attenuatorSetUnderTest,\n\t\t\t\t\tattenuatorSetUnderTest.getDefaultValueAttenuation());\n\t\t} else {\n\t\t\treport.report(\"There is no attenuator set \");\n\t\t}\n\t\tchangeOtherENBsToOOS();\n\n\t\t/if (runWithDynamicCFI)\n\t\t\tenbConfig.enableDynamicCFI(this.dut);\n\t\telse\n\t\t\tenbConfig.disableDynamicCFI(this.dut);/\n\t\t\n\t\tgetRadioProfile();\n\n\t\tprintResultsForTest = true;\n\t\tresetTestBol = false;\n\t\texceptionThrown = false;\n\t}", "@Test\n public void showHandledPeaksForInterestingCases() {\n List<ISpectrum> spectra = ClusteringTestUtilities.readISpectraFromResource();\n\n ISpectrum[] spectrums = (ISpectrum[]) spectra.toArray();\n\n ISimilarityChecker checker = new FrankEtAlDotProductTester();\n ISimilarityChecker currentChecker = new FrankEtAlDotProduct(0.5F, 15, true);\n\n //noinspection UnnecessaryLocalVariable,UnusedDeclaration,UnusedAssignment\n Set<String> interestingIds = new HashSet<>();\n\n\n for (int i = 0; i < spectrums.length; i++) {\n ISpectrum psm1 = spectrums[i];\n String id1 = psm1.getId();\n if (!INTERESTING_ID_SET.contains(id1))\n continue; // not an interesting case\n\n for (int j = i + 1; j < spectrums.length; j++) {\n ISpectrum psm2 = spectrums[j];\n\n String id2 = psm2.getId();\n if (!INTERESTING_ID_SET.contains(id2))\n continue; // not an interesting case\n\n // System.out.println(\"Comparing \" + id1 + \" \" + id2);\n\n StringBuilder usedPeaksTester = new StringBuilder();\n\n //noinspection UnnecessaryLocalVariable,UnusedDeclaration,UnusedAssignment\n double dotOrg = checker.assessSimilarity(psm1, psm2);\n\n // System.out.println(\"Peaks compared original Frank Et Al (when the code is written)\");\n // print usage\n // System.out.println(usedPeaksTester.toString());\n\n usedPeaksTester.setLength(0); // clear debug output\n double dotNew = currentChecker.assessSimilarity(psm1, psm2);\n\n // print usage\n // System.out.println(\"Peaks compared current Frank Et Al \");\n // System.out.println(usedPeaksTester.toString());\n\n\n }\n\n }\n }", "@Test(timeout = 4000)\n public void test23() throws Throwable {\n Discretize discretize0 = new Discretize(\"#gS@ID)j\");\n discretize0.m_ClassIndex = 178;\n double[] doubleArray0 = new double[3];\n doubleArray0[0] = (double) 178;\n discretize0.m_UseEqualFrequency = true;\n doubleArray0[2] = (double) 178;\n doubleArray0[2] = (double) 178;\n Discretize discretize1 = new Discretize(\"#gS@ID)j\");\n assertFalse(discretize1.getUseEqualFrequency());\n \n discretize0.getOptions();\n assertTrue(discretize0.getUseEqualFrequency());\n }", "@Test(timeout = 4000)\n public void test180() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.clearRanking();\n int int0 = 2365;\n resultMatrixSignificance0.doubleToString(63.65294946501, 2365);\n resultMatrixSignificance0.clearHeader();\n int[][] intArray0 = new int[1][8];\n int[] intArray1 = new int[5];\n intArray1[0] = 2;\n intArray1[1] = 2365;\n intArray1[2] = 1;\n intArray1[3] = 0;\n intArray1[4] = 2365;\n intArray0[0] = intArray1;\n // Undeclared exception!\n try { \n resultMatrixSignificance0.setRanking(intArray0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 1\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\r\n public void testGetPredictedDiseaseAssociationsForMgiGeneId() {\r\n String mgiGeneId = \"MGI:95523\";\r\n\r\n Map<Disease, Set<DiseaseAssociation>> result = instance.getPredictedDiseaseAssociationsForMgiGeneId(mgiGeneId);\r\n \r\n// for (Disease disease : result.keySet()) {\r\n// System.out.println(disease);\r\n// for (DiseaseAssociation diseaseAssociation : result.get(disease)) {\r\n// System.out.println(String.format(\" %s\", diseaseAssociation));\r\n// }\r\n// }\r\n assertTrue(result.keySet().size() > 290);\r\n }", "@Test\n public void test_SetOxideCorr() {\n System.out.println(\"Testing MeasuredRatioModel's setOxideCorr(boolean value)\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = true;\n instance.setOxideCorr(true);\n boolean result = instance.isOxideCorr();\n assertEquals(expResult, result);\n instance.setOxideCorr(false);\n result = instance.isOxideCorr();\n expResult=false;\n assertEquals(expResult, result);\n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.matthewsCorrelationCoefficient(5);\n assertEquals(0.0, double0, 0.01);\n }", "@Test\n public void testForwardCommittor()\n {\n IDoubleArray M = null;\n IIntArray A = null;\n IIntArray B = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.forwardCommittor(M, A, B);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n @TestCases({\"C1929229\", \"C1929230\", \"C1929231\", \"C1929232\", \"C1929235\"})\n public void test1() throws UiObjectNotFoundException {\n NavigationUtils.startActivity(activityRule);\n NavigationUtils.throughLogin(\"[email protected]\", \"password\");\n waitFor(\"camera\", 2000);\n goOnline();\n goOffline();\n goOnline();\n\n assertCarMarkersVisible();\n moveMap(150);\n waitFor(\"camera\", 2000);\n assertCarMarkersNotVisible();\n\n waitForDisplayed(R.id.myLocation);\n onView(withId(R.id.myLocation)).perform(click());\n\n waitFor(\"camera\", 2000);\n assertCarMarkersVisible();\n mapZoomIn();\n waitFor(\"camera\", 2000);\n assertCarMarkersVisible();\n mapZoomOut();\n waitFor(\"camera\", 2000);\n assertCarMarkersVisible();\n }", "public void waitForStart(final boolean autonomous, boolean runCamera){\n // Will it throw a null pointer exception???\n Robot.init(this, autonomous);\n\n telemetry.setMsTransmissionInterval(autonomous ? 50:1000);\n\n // Start of Auto Code for Camera and the like\n if(autonomous && runCamera){\n //Auto Transitioning\n // Will it throw a null pointer exception???\n AutoTransitioner.transitionOnStop(this, \"Teleop\");\n\n //Autonomous Settings\n getAutonomousPrefs();\n\n // Setup Vuforia\n vuMark.setup(VuforiaLocalizer.CameraDirection.FRONT, false);\n ElapsedTime t = new ElapsedTime();\n\n while(isInInitLoop()) {\n // Update VuMark\n vuMark.update();\n\n if(vuMark.getOuputVuMark()!= RelicRecoveryVuMark.UNKNOWN)\n test = vuMark.getOuputVuMark();\n\n // Value of all pixels\n int redValue = 0;\n int blueValue = 0;\n\n // Get current bitmap from Vuforia\n Bitmap bm = vuMark.getBm(20);\n\n if(bm != null){\n // Scan area for red and blue pixels\n for (int x = 0; x < bm.getWidth()/5 && isInInitLoop(); x++) {\n for (int y = (bm.getHeight()/4)+(bm.getHeight()/2); y < bm.getHeight() && isInInitLoop(); y++) {\n int pixel = bm.getPixel(x,y);\n redValue += red(pixel);\n blueValue += blue(pixel);\n\n if(redValue>blueValue)\n redVotes++;\n else if(blueValue>redValue)\n blueVotes++;\n idle();\n }\n }\n bm.recycle();\n }\n\n // Cut off\n if (redVotes>300) {\n redVotes = 50;\n blueVotes = 0;\n } else if(blueVotes > 300){\n redVotes = 0;\n blueVotes = 50;\n }\n\n // Calculate FPS\n double fps = 1/t.seconds();\n t.reset();\n\n // Output Telemetry\n telemetry.addData(\"FPS\", fps);\n telemetry.addData(\"VuMark\", WhatColumnToScoreIn());\n if(jewel_Color != null)\n telemetry.addData(\"Color\", jewel_Color.toString());\n telemetry.addData(\"Red Votes\", redVotes);\n telemetry.addData(\"Blue Votes\", blueVotes);\n telemetry.update();\n idle();\n }\n\n // Voting system\n if(redVotes>blueVotes)\n jewel_Color = JewelColor.Red;\n else if(blueVotes>redVotes)\n jewel_Color = JewelColor.Blue;\n\n t.reset();\n\n }// End of Auto Code for Camera and the like\n else{\n driver_station.init(this); // New Driver station\n while (isInInitLoop()){\n telemetry.addData(\"Waiting for Start\", \"\");\n telemetry.update();\n }\n }\n }", "@Test(timeout = 4000)\n public void test002() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedMatthewsCorrelation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test156() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(50, 50);\n resultMatrixLatex0.m_ShowAverage = false;\n resultMatrixLatex0.m_ShowStdDev = true;\n boolean[] booleanArray0 = new boolean[5];\n booleanArray0[0] = false;\n booleanArray0[1] = false;\n resultMatrixLatex0.m_StdDevWidth = (-3085);\n booleanArray0[2] = true;\n resultMatrixLatex0.setPrintColNames(true);\n booleanArray0[3] = true;\n resultMatrixLatex0.setStdDevWidth((-1));\n booleanArray0[4] = true;\n resultMatrixLatex0.m_RowHidden = booleanArray0;\n resultMatrixLatex0.getDefaultEnumerateColNames();\n resultMatrixLatex0.colNameWidthTipText();\n resultMatrixLatex0.setPrintRowNames(false);\n resultMatrixLatex0.removeFilterName(\"\");\n resultMatrixLatex0.padString(\"\", 0, false);\n ResultMatrixSignificance resultMatrixSignificance0 = null;\n try {\n resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 5\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "public static void main(String[] args)\n\t{\n\t\talg.ub.predictor.Predictor predictorUB = new alg.ub.predictor.Resnick();\n\t\talg.ub.neighbourhood.Neighbourhood neighbourhoodUB = new ThresholdNeighbourhood(20,0);\n\t\tSimilarityMetric metricUB = new HybridSim(0.4,0.5,0.1);\n\t\t\n\t\t// configure the Item-based CF algorithm - set the predictor, neighbourhood and similarity metric ...\n\t\tPredictor predictorIB = new Resnick();\n\t\tNeighbourhood neighbourhoodIB = new kNearestNeighbourhood(20);\n\t\tSimilarityMetric metricIB = new HybridSim(0.8,0.3,0.1);\n\n\t\t\n\t\t// set the paths and filenames of the item file, train file and test file ...\n\t\tString itemFile = \"ML dataset\" + File.separator + \"u.item\";\n\t\tString trainFile = \"ML dataset\" + File.separator + \"u.train\";\n\t\tString testFile = \"ML dataset\" + File.separator + \"u.test\";\n\t\t\n\t\t// set the path and filename of the output file ...\n\t\tString outputFile = \"results\" + File.separator + \"predictions.txt\";\n\t\t\n\t\t/////////////////////////////////////////////////////////////////////////////////\n\t\t// Evaluates the CF algorithm:\n\t\t// - the RMSE (if actual ratings are available) and coverage are output to screen\n\t\t// - the output file is created\n\t\tDatasetReader reader = new DatasetReader(itemFile, trainFile, testFile);\n\t\t\n\t\tCFAlgorithm hbcf = new HybirdBasedCF(predictorIB, predictorUB, neighbourhoodIB, neighbourhoodUB, metricIB, metricUB, reader);\n\t\tEvaluator eval = new Evaluator(hbcf, reader.getTestData());\n\t\teval.writeResults(outputFile);\n\t\t\n\t\tDouble RMSE = eval.getRMSE();\n\t\tif(RMSE != null) System.out.println(\"RMSE: \" + RMSE);\n\t\t\n\t\tfor(int i = 1; i <= 5; i++)\n\t\t{\n\t\t\tRMSE = eval.getRMSE(i);\n\t\t\tif(RMSE != null) System.out.println(\"RMSE (true rating = \" + i + \"): \" + RMSE);\n\t\t}\n\t\t\n\t\tdouble coverage = eval.getCoverage();\n\t\tSystem.out.println(\"coverage: \" + coverage + \"%\");\n\t}", "@LargeTest\n public void testFishEyeRelaxed() {\n TestAction ta = new TestAction(TestName.FISHEYE_RELAXED);\n runTest(ta, TestName.FISHEYE_RELAXED.name());\n }", "@Test(timeout = 4000)\n public void test188() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(26, 26);\n resultMatrixSignificance0.clearRanking();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n resultMatrixGnuPlot0.setMean(102, 1954, 1954);\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(26, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n }", "public float testAll(){\n List<Long> allIdsToTest = new ArrayList<>();\n allIdsToTest = idsToTest;\n //allIdsToTest.add(Long.valueOf(11));\n //allIdsToTest.add(Long.valueOf(12));\n //allIdsToTest.add(Long.valueOf(13));\n\n float totalTested = 0;\n float totalCorrect = 0;\n float totalUnrecognized = 0;\n\n for(Long currentID : allIdsToTest) {\n String pathToPhoto = \"photo\\\\testing\\\\\" + currentID.toString();\n File currentPhotosFile = new File(pathToPhoto);\n\n if(currentPhotosFile.exists() && currentPhotosFile.isDirectory()) {\n\n File[] listFiles = currentPhotosFile.listFiles();\n\n for(File file : listFiles){\n if (!file.getName().endsWith(\".pgm\")) { //search how to convert all image to .pgm\n throw new IllegalArgumentException(\"The file of the student \" + currentID + \" contains other files than '.pgm'.\");\n }\n else{\n Mat photoToTest = Imgcodecs.imread(pathToPhoto + \"\\\\\" + file.getName(), Imgcodecs.IMREAD_GRAYSCALE);\n try {\n RecognitionResult testResult = recognize(photoToTest);\n\n if(testResult.label[0] == currentID){\n totalCorrect++;\n }\n }\n catch (IllegalArgumentException e){\n System.out.println(\"One face unrecognized!\");\n totalUnrecognized++;\n }\n\n totalTested++;\n }\n }\n }\n }\n\n System.out.println(totalUnrecognized + \" face unrecognized!\");\n\n System.out.println(totalCorrect + \" face correct!\");\n System.out.println(totalTested + \" face tested!\");\n\n float percentCorrect = totalCorrect / totalTested;\n return percentCorrect;\n }", "@Test(timeout = 4000)\n public void test079() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.unweightedMacroFmeasure();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01);\n assertEquals(Double.NaN, double0, 0.01);\n }", "@Test\n public void publicationAnnotationsShouldNotRepeatWhenValuePresentInMainLabels() throws Exception {\n Interaction interaction = getMockBuilder().createInteractionRandomBinary();\n\n Experiment experiment = interaction.getExperiments().iterator().next();\n Publication publication = experiment.getPublication();\n\n addAnnotation(experiment, publication, \"Proteomics\", createTopic(CvTopic.JOURNAL_MI_REF, CvTopic.JOURNAL));\n addAnnotation(experiment, publication, \"2020\", createTopic(CvTopic.PUBLICATION_YEAR_MI_REF, CvTopic.PUBLICATION_YEAR));\n addAnnotation(experiment, publication, \"Peter, Kath\", createTopic(CvTopic.AUTHOR_LIST_MI_REF, CvTopic.AUTHOR_LIST));\n addAnnotation(experiment, publication, \"Apoptosis dataset\", createTopic(CvTopic.DATASET_MI_REF, CvTopic.DATASET));\n\n getCorePersister().saveOrUpdate(interaction);\n\n // When: I go to the interaction details page\n goToInteractionDetailsPage(interaction.getAc());\n\n // Then: we expect only one row to be shown in the publication annotations - \"journal\", \"author-list\" and \"publication year\" should not be shown as they have their own labels\n assertThat(rowCountForDataTableWithId(\"mainPanels:j_id_18r:publicationAnnotTable:publicationAnnotTable\"), is(equalTo(1)));\n }", "@Test\n public void shouldBeZeroForTolkienAuthor() {\n\n }", "@Test\n @Deploy(\"org.nuxeo.ai.ai-core:OSGI-INF/auto-config-test.xml\")\n public void testAutoOperation() throws OperationException {\n DocumentModel testDoc = session.createDocumentModel(\"/\", \"My Auto Op Doc\", \"File\");\n testDoc = session.createDocument(testDoc);\n testDoc = docMetadataService.saveEnrichment(session, setupTestEnrichmentMetadata(testDoc));\n session.saveDocument(testDoc);\n txFeature.nextTransaction();\n\n // Call operation on the doc\n OperationContext ctx = new OperationContext(session);\n ctx.setInput(testDoc);\n OperationChain chain = new OperationChain(\"testAutoChain1\");\n chain.add(AutoPropertiesOperation.ID);\n DocumentModel opDoc = (DocumentModel) automationService.run(ctx, chain);\n opDoc = session.saveDocument(opDoc);\n txFeature.nextTransaction();\n SuggestionMetadataWrapper wrapper = new SuggestionMetadataWrapper(testDoc);\n assertTrue(\"dc:title must be AutoFilled.\", wrapper.isAutoFilled(\"dc:title\"));\n assertTrue(\"dc:format must be AutoFilled.\", wrapper.isAutoFilled(\"dc:format\"));\n }", "public void testLiangFigure6() {\n int[] a = {0, 0, 0, 0, 1, 1, 1, 1};\n int[] b = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] c = {0, 1, 0, 1, 0, 1, 0, 1};\n int[] ap = {0, 0, 1, 1, 0, 0, 1, 1};\n int[] bp = {0, 1, 0, 1, 1, 1, 1, 1};\n int[] cp = {0, 0, 0, 1, 0, 1, 1, 1};\n\n for (int i = 0; i < ntimes - 1; i++) {\n cases[i][0] = a[i];\n cases[i][1] = b[i];\n cases[i][2] = c[i];\n cases[i + 1][3] = ap[i];\n cases[i + 1][4] = bp[i];\n cases[i + 1][5] = cp[i];\n }\n cases[8][0] = 0;\n cases[8][1] = 0;\n cases[8][2] = 0;\n cases[0][3] = 0;\n cases[0][4] = 0;\n cases[0][5] = 0;\n\n RevealEvaluator re = new RevealEvaluator(cases);\n\n double rea = re.entropy(a);\n assertEquals(1.0, rea, TOLERANCE);\n System.out.println(\"H(a) = \" + rea); //Should be 1.0\n\n double reb = re.entropy(b);\n assertEquals(1.0, reb, TOLERANCE);\n System.out.println(\"H(b) = \" + reb); //Should be 1.0\n\n double rec = re.entropy(c);\n assertEquals(1.0, rec, TOLERANCE);\n System.out.println(\"H(c) = \" + rec); //Should be 1.0\n\n double reab = re.jointEntropy(a, b);\n assertEquals(2.0, reab, TOLERANCE);\n System.out.println(\"H(a,b) = \" + reab); //Should be 2.0\n\n double reap = re.entropy(ap);\n assertEquals(1.0, reap, TOLERANCE);\n System.out.println(\"H(ap) = \" + reap); //Should be 1.0\n\n double rebp = re.entropy(bp);\n assertEquals(0.8112781244591328, rebp, TOLERANCE);\n System.out.println(\"H(bp) = \" + rebp); //Should be 0.8112781244591328\n\n double recp = re.entropy(cp);\n assertEquals(1.0, recp, TOLERANCE);\n System.out.println(\"H(cp) = \" + recp); //Should be 1.0\n\n double reapa = re.jointEntropy(ap, a);\n assertEquals(2.0, reapa, TOLERANCE);\n System.out.println(\"H(ap, a) = \" + reapa); //Should be 2.0\n\n double rebpb = re.jointEntropy(bp, b);\n assertEquals(1.8112781244591327, rebpb, TOLERANCE);\n System.out.println(\n \"H(bp, b) = \" + rebpb); //Should be 1.8112781244591327\n\n double recpb = re.jointEntropy(cp, b);\n assertEquals(1.8112781244591327, recpb, TOLERANCE);\n System.out.println(\n \"H(cp, b) = \" + recpb); //Should be 1.8112781244591327\n\n int[][] ab = new int[2][8];\n for (int i = 0; i < 8; i++) {\n ab[0][i] = a[i];\n ab[1][i] = b[i];\n }\n\n double rebpab = re.jointEntropy(bp, ab);\n assertEquals(2.5, rebpab, TOLERANCE);\n System.out.println(\"H(bp, a, b) = \" + rebpab); //Should be 2.5\n\n double recpab = re.jointEntropy(cp, ab);\n assertEquals(2.5, recpab, TOLERANCE);\n System.out.println(\"H(cp, a, b) = \" + recpab); //Should be 2.5\n\n int[][] abc = new int[3][8];\n for (int i = 0; i < 8; i++) {\n abc[0][i] = a[i];\n abc[1][i] = b[i];\n abc[2][i] = c[i];\n }\n\n double recpabc = re.jointEntropy(cp, abc);\n assertEquals(3.0, recpabc, TOLERANCE);\n System.out.println(\"H(cp, a, b, c) = \" + recpabc); //Should be 3.0\n\n //Setup array cases and test mutualInformation\n int[] p = new int[1];\n p[0] = 0;\n\n double rembpa = re.mutualInformation(4, p, 1);\n assertEquals(0.31127812445913294, rembpa, TOLERANCE);\n System.out.println(\n \"M(Bp, A) = \" + rembpa); //Should be 0.31127812445913294\n\n int[] pp = new int[2];\n pp[0] = 0;\n pp[1] = 1;\n\n double rmcpab = re.mutualInformation(5, pp, 1);\n assertEquals(0.5, rmcpab, TOLERANCE);\n System.out.println(\"M(Cp, [A,B]) = \" + rmcpab); //Should be 0.5\n\n int[] ppp = new int[3];\n ppp[0] = 0;\n ppp[1] = 1;\n ppp[2] = 2;\n\n double rmcpabc = re.mutualInformation(5, ppp, 1);\n assertEquals(1.0, rmcpabc, TOLERANCE);\n System.out.println(\"M(Cp, [A,B,C]) = \" + rmcpabc); //Should be 1.0\n\n }", "@Test\n public void testClaimAttendPhysMint() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setAttendPhysMint,\n RdaFissClaim::getAttendPhysMint,\n RdaFissClaim.Fields.attendPhysMint,\n 1);\n }", "@Test\n public void testIsRateMatrix()\n {\n IDoubleArray K = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n boolean expResult = false;\n boolean result = instance.isRateMatrix(K);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testClaimXrefHicNbr() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setXrefHicNbr,\n RdaFissClaim::getXrefHicNbr,\n RdaFissClaim.Fields.xrefHicNbr,\n 12);\n }", "public void testAuta()\n\t{\n\t\tNakladak nakl = new Nakladak(Simulator.getCas());\n\t\tnakl.poloha[0] = this.poloha[0];\n\t\tnakl.poloha[1] = this.poloha[1];\n\t\t//cesta po prekladistich\n\t\tfor(int i=4001;i<4009;i++)\n\t\t{\n\t\t\tnakl.cesta.add(i);\n\t\t}\n\t\tnakl.kDispozici = false;\n\t\tnakl.jede = true;\n\t\tsim.addObserver(nakl);\n\t\t\n\t\tthis.vozy.add(nakl);\n\t\t\n\t}", "public static final void testAnnuity (\n double C,\n double r,\n double T )\n //////////////////////////////////////////////////////////////////////\n {\n double FV = futureValueAnnuity ( C, r, T );\n System.out.println ( FV );\n System.out.println ( presentValue ( FV, r, T ) );\n System.out.println ( presentValueAnnuity ( C, r, T ) );\n double [ ] c = new double [ ( int ) T ];\n for ( int i = 0; i < T; i++ ) c [ i ] = C;\n System.out.println ( presentValue ( c, r ) );\n }", "public void matarAPacman() {\n // TODO implement here\n }", "@java.lang.Override\n public boolean hasFunctionApproximation() {\n return calibratorCase_ == 1;\n }", "@Test(timeout = 4000)\n public void test174() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV();\n Vector<String> vector0 = new Vector<String>();\n resultMatrixCSV1.m_HeaderValues = vector0;\n assertFalse(resultMatrixCSV1.getShowStdDev());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n resultMatrixSignificance0.getSignificance(44, 2967);\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n }", "@Test\n public void testClaimPrincipleDiag() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setPrincipleDiag,\n RdaFissClaim::getPrincipleDiag,\n RdaFissClaim.Fields.principleDiag,\n 7);\n }", "@Test\n public void testClaimAttendPhysId() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setAttendPhysId,\n RdaFissClaim::getAttendPhysId,\n RdaFissClaim.Fields.attendPhysId,\n 16);\n }", "@Test(timeout = 4000)\n public void test189() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(26, 26);\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance1);\n int int0 = resultMatrixGnuPlot0.getMeanPrec();\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(26, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, int0);\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(26, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n }", "@Test\n public void testClaimAdjReasCd() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setAdjReasCd,\n RdaFissClaim::getAdjReasCd,\n RdaFissClaim.Fields.adjReasCd,\n 2);\n }", "public void testDeterminizerOnHopcrofExamples() throws Exception {\n\t\tINFA nfa = JailTestUtils.HOP_NFA56();\n\t\tIDFA dfa = JailTestUtils.HOP_DFA63();\n\t\ttestDeterminizer(nfa,dfa);\n\t}", "@Override\n public void testAtvAutoScan() {\n Log.d(TAG, \"testAtvAutoScan\");\n mTvChannelManager.setUserScanType(TvChannelManager.TV_SCAN_ATV);\n mTvAtscChannelManager.deleteAtvMainList();\n if (mTvCommonManager.getCurrentTvInputSource() != TvCommonManager.INPUT_SOURCE_ATV) {\n mTvCommonManager.setInputSource(TvCommonManager.INPUT_SOURCE_ATV);\n }\n / add delay: impersonate the user operation /\n sleep(3000);\n assertEquals(TvCommonManager.INPUT_SOURCE_ATV, mTvCommonManager.getCurrentTvInputSource());\n\n mTvAtscChannelManager.setDtvAntennaType(TvChannelManager.DTV_ANTENNA_TYPE_AIR);\n / add delay: impersonate the user operation /\n sleep(3000);\n\n registerScanListener();\n mTvChannelManager.startAtvAutoTuning(ATV_EVENTINTERVAL, ATV_MIN_FREQ, ATV_MAX_FREQ);\n while (mAtvScanPercent < 100) {\n / mAtvScanDone is set as true while auto tuning done /\n sleep(500);\n }\n unRegisterScanListener();\n\n int atvChCount = mTvChannelManager.getProgramCount(TvChannelManager.PROGRAM_COUNT_ATV);\n Log.d(TAG, \"scaned atv channel count is:\" + atvChCount);\n assertTrue(\"atv channel count should be larger than zero after atv autotuning!!\",\n atvChCount > 0);\n }", "@Test(timeout = 4000)\n public void test04() throws Throwable {\n NaiveBayesMultinomialText naiveBayesMultinomialText0 = new NaiveBayesMultinomialText();\n NaiveBayesMultinomialText naiveBayesMultinomialText1 = (NaiveBayesMultinomialText)AbstractClassifier.makeCopy(naiveBayesMultinomialText0);\n naiveBayesMultinomialText1.m_wordFrequencies = true;\n boolean boolean0 = naiveBayesMultinomialText1.getUseWordFrequencies();\n assertTrue(naiveBayesMultinomialText1.getUseWordFrequencies());\n assertTrue(boolean0);\n }", "@Test\n @DisplayName(\"Action Marker Black Cross Double Test\")\n public void ActionMarkerCrossDoubleTest() throws IOException, InterruptedException {\n ActionMarkerForCrossDouble actionMarker = new ActionMarkerForCrossDouble();\n Server server= new Server();\n ClientHandler clientHandler= new ClientHandler(server);\n ClientController clientController= new ClientController(server,clientHandler) ;\n VirtualView virtualView = new VirtualView(clientController);\n\n GameSolitaire game = new GameSolitaire(\"Ali\",true,clientController);\n\n assertEquals(\"ActionMarkerForCrossDouble\", actionMarker.getType());\n\n ActionMarker actionMarker1;\n actionMarker1 = game.showFirst();\n assertEquals(0, game.getLorenzoFaithIndicator());\n\n game.activateActionMarker(actionMarker);\n\n assertEquals(2, game.getLorenzoFaithIndicator());\n assertEquals(actionMarker1, game.showFirst());\n\n actionMarker1 = game.showFirst();\n game.activateActionMarker(actionMarker);\n\n assertEquals(4, game.getLorenzoFaithIndicator());\n assertEquals(actionMarker1, game.showFirst());\n\n game.activateActionMarker(actionMarker);\n actionMarker1 = game.showFirst();\n game.activateActionMarker(actionMarker);\n\n assertEquals(8, game.getLorenzoFaithIndicator());\n assertEquals(actionMarker1, game.showFirst());\n\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n actionMarker1 = game.showFirst();\n game.activateActionMarker(actionMarker);\n\n assertEquals(16, game.getLorenzoFaithIndicator());\n assertEquals(actionMarker1, game.showFirst());\n\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n game.activateActionMarker(actionMarker);\n actionMarker1 = game.showFirst();\n game.activateActionMarker(actionMarker);\n\n assertEquals(24, game.getLorenzoFaithIndicator());\n assertEquals(actionMarker1, game.showFirst());\n\n FileClass.FileDestroyer();\n\n }", "@Test(timeout = 4000)\n public void test033() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.matthewsCorrelationCoefficient((-2935));\n assertEquals(0.0, double0, 0.01);\n }", "public static void main(String[] args){\n String absolutePath = null;\n try {\n absolutePath = new File(\"./src/main/resources/opencv_contrib/opencv_java420.dll\").getCanonicalPath();\n } catch (IOException e) {\n e.printStackTrace();\n System.exit(-1);\n }\n\n System.load(absolutePath);\n\n FaceRecognitionTests test = new FaceRecognitionTests();\n\n //test.treatAllPhotos();\n //test.train();\n //test.save();\n\n test.load();\n\n System.out.println(\"percentage correct : \" + test.testAll() 100 + \"%\");\n\n /\n Mat imageTest = Imgcodecs.imread(\"photo\\\\testing\\\\20\\\\20_P04A+000E+00.pgm\", Imgcodecs.IMREAD_GRAYSCALE);\n RecognitionResult testResult = test.recognize(imageTest);\n\n System.out.println(\"suposed result : 20, actual result : \" + testResult.label[0] + \" with confidence : \" + testResult.confidence[0]);\n /\n }", "@Test(timeout = 4000)\n public void test142() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\n boolean boolean0 = resultMatrixSignificance1.isAverage(120);\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(boolean0);\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n }", "@Test public void calcROItest() {\n DirectMC h = new DirectMC(\"AdMailing\", 10000.00, 3.00, 2000);\n Assert.assertEquals(.4286, h.calcROI(), 1);\n }", "@Test(timeout = 4000)\n public void test167() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.showStdDevTipText();\n resultMatrixLatex0.getRevision();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n resultMatrixGnuPlot0.RIGHT_PARENTHESES = \")\";\n resultMatrixGnuPlot0.getDefaultRowNameWidth();\n int[] intArray0 = new int[7];\n intArray0[0] = 2;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 1;\n intArray0[4] = 0;\n intArray0[5] = 1;\n intArray0[6] = 2;\n resultMatrixLatex0.m_ColOrder = intArray0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n int[] intArray1 = new int[6];\n intArray1[0] = 0;\n intArray1[1] = 50;\n intArray1[2] = 50;\n intArray1[3] = 50;\n intArray1[4] = 2;\n intArray1[5] = 0;\n resultMatrixSignificance0.m_RankingLosses = intArray1;\n resultMatrixSignificance0.getDisplayName();\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n \n String string0 = resultMatrixLatex0.getSummaryTitle(0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"a\", string0);\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n }", "@Test\n public void testIntermediaryNb() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setIntermediaryNb,\n RdaFissClaim::getIntermediaryNb,\n \"intermediaryNb\",\n 5);\n }", "public interface IridiumFlaresPredictor {\n /*\n Predict based on latitude and longitude. Altitude is automatically checked for given location.\n */\n public IridiumFlaresPredictorResult predict(double latitude, double longitude);\n public IridiumFlaresPredictorResult predict(double latitude, double longitude, double altitude);\n}", "private void evaluationLogic() {\n // setup for logic:\n // if distToClosestEstimate[i][0] is smaller than threshold, we have a Tp\n // if distToClosestEstimate[i][0] is larger than threshold, we have a Fn\n // all estimatedFeatures that are not assigned Tp are therefore Fp\n for (int i = 0; i < groundTruthInstant.size(); ++i) {\n if (distToClosestEstimate[i][0] < truePositiveThreshold) {\n ++truePositiveCount;\n int assignedEstimatedFeature = (int) distToClosestEstimate[i][1];\n assignedEstimatedFeatures[assignedEstimatedFeature] = true;\n } else\n ++falseNegativeCount;\n }\n for (int i = 0; i < estimatedInstant.size(); ++i)\n if (!assignedEstimatedFeatures[i])\n ++falsePositiveCount;\n }", "@Override\n public void autonomousInit()\n {\n System.out.println(\"Initializing autonomous mode...\");\n\n // zero arm encoder only in autonomous\n //cargoArm.zeroEncoder();\n\n commonInit();\n\n // move hatch finger down\n \n hatchArm.fingerSentDown = false;\n hatchArm.toggleFinger();\n\n System.out.println(\"Autonomous initialization complete.\");\n }", "@Test(timeout = 4000)\n public void test006() throws Throwable {\n CatalogTexture catalogTexture0 = new CatalogTexture(\"\", \"\", (Content) null, (-826), 0.0F, \"\");\n HomeTexture homeTexture0 = new HomeTexture(catalogTexture0);\n HomeEnvironment homeEnvironment0 = new HomeEnvironment(2140976121, homeTexture0, 949, homeTexture0, (-3047), 949);\n assertTrue(homeEnvironment0.isObserverCameraElevationAdjusted());\n \n homeEnvironment0.setObserverCameraElevationAdjusted(false);\n boolean boolean0 = homeEnvironment0.isObserverCameraElevationAdjusted();\n assertFalse(boolean0);\n }", "@Test\n public void testClaimProvEmerInd() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setProvEmerInd,\n RdaFissClaim::getProvEmerInd,\n RdaFissClaim.Fields.provEmerInd,\n 1);\n }", "private final void m715j() {\n for (akx akx : this.f518c) {\n if (akx.mo358f() != null) {\n akx.mo361i();\n }\n }\n }", "@java.lang.Override\n public boolean hasFunctionApproximation() {\n return calibratorCase_ == 1;\n }", "@BeforeEach\n void setUp() {\n try {\n assignementProblem.taillardInitializer(TAILLARD_FILENAME);\n assignementProblem.setNeighborsFunction(NEIGHBORHOOD_TYPE, assignementProblem.getAssignmentData().getLength());\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "@Test\n public void isAnagram() {\n\n Assert.assertEquals(true,Computation.isAnagram(\"read\",\"dear\"));\n Assert.assertEquals(false,Computation.isAnagram(\"read\",\"deard\"));\n Assert.assertEquals(false,Computation.isAnagram(\"read\",\"reaaad\"));\n Assert.assertEquals(false,Computation.isAnagram(\"readd\",\"reaad\"));\n }", "@Test void noisy() {\n\t\tstandardScene();\n\t\tsimulateScene(0);\n\n\t\tvar alg = new DistanceMetricTripleReprojection23();\n\n\t\tvar model = new MetricCameraTriple();\n\t\tmodel.view1.setTo(cameraA);\n\t\tmodel.view2.setTo(cameraB);\n\t\tmodel.view3.setTo(cameraC);\n\t\tmodel.view_1_to_2.setTo(truthView_1_to_i(1));\n\t\tmodel.view_1_to_3.setTo(truthView_1_to_i(2));\n\n\t\tmodel.view3.fx += 40; // this will mess things up a bit\n\n\t\talg.setModel(model);\n\n\t\tvar set = observations3.subList(0, 20);\n\t\tvar distances = new double[set.size()];\n\t\talg.distances(set, distances);\n\t\tfor (int i = 0; i < distances.length; i++) {\n\t\t\tassertTrue(distances[i] != 0.0);\n\t\t\tassertEquals(distances[i], alg.distance(set.get(i)), UtilEjml.TEST_F64);\n\t\t}\n\t}", "@Test\n void _correctIfCaseTest() {\n\n actionApply();\n\n for (ReceiverPair receiverPair : dependedReceiverPairs) {\n for (AssingablePair assingablePair : incompatibleAssignablePairs) {\n verify(model).arithm(receiverPair.getVariableReceiver(), \"=\", assingablePair.getIndexAssignable());\n }\n }\n }", "@ParameterizedTest\n @ArgumentsSource(TestForestProvider.class)\n public void testGetAnomalyAttribution(RandomCutForest forest) {\n\n double [] point = {0.0,0.0,0.0};\n DiVector seenResult = forest.getAnomalyAttribution(point);\n double seenScore = forest.getAnomalyScore(point);\n assertTrue(seenResult.getHighLowSum(0) < 0.5);\n assertTrue(seenResult.getHighLowSum(1) < 0.5);\n assertTrue(seenResult.getHighLowSum(2) < 0.5);\n assertTrue(seenScore < 1.0);\n assertEquals(seenScore, seenResult.getHighLowSum(), 1E-10);\n\n DiVector likelyResult = forest.getApproximateAnomalyAttribution(point);\n double score=forest.getApproximateAnomalyScore(point);\n assertTrue(likelyResult.getHighLowSum(0) < 0.5);\n assertTrue(likelyResult.getHighLowSum(1) < 0.5);\n assertTrue(likelyResult.getHighLowSum(2) < 0.5);\n assertEquals(score, likelyResult.getHighLowSum(), 0.1);\n assertEquals(seenResult.getHighLowSum(), likelyResult.getHighLowSum(), 0.1);\n }" ]	[ "0.7553548", "0.7491265", "0.6640061", "0.5893892", "0.5216553", "0.5158335", "0.51483774", "0.5143283", "0.51150167", "0.5086318", "0.50828856", "0.5050254", "0.5030721", "0.5029138", "0.5024145", "0.5005777", "0.49787673", "0.49756554", "0.49460876", "0.4944315", "0.49280265", "0.49128675", "0.49064186", "0.48989546", "0.4895179", "0.48737907", "0.48671708", "0.48669106", "0.48637506", "0.48611987", "0.48541912", "0.48500893", "0.48492575", "0.48477197", "0.48469725", "0.48454735", "0.48232636", "0.4821681", "0.48155332", "0.48049647", "0.47960722", "0.47960606", "0.4793928", "0.47926238", "0.47832713", "0.4778206", "0.4768368", "0.476626", "0.47619545", "0.47606003", "0.47508845", "0.47488248", "0.47410858", "0.47399735", "0.4739382", "0.4738335", "0.47371525", "0.4735216", "0.47223526", "0.47195724", "0.47169045", "0.47025666", "0.46991375", "0.46986267", "0.46813998", "0.467327", "0.46721023", "0.46697068", "0.46636593", "0.46618247", "0.46609324", "0.46508104", "0.46500835", "0.46498638", "0.46494225", "0.46481153", "0.46480316", "0.46424863", "0.464068", "0.46326905", "0.46306604", "0.46231854", "0.46207982", "0.46165243", "0.46134984", "0.46100384", "0.46042782", "0.4598132", "0.45954153", "0.45913696", "0.4589881", "0.4587597", "0.45838967", "0.45819658", "0.45803857", "0.45770925", "0.45770922", "0.45734102", "0.45713398", "0.45700726" ]	0.8646217	0
Test of fingerprintCorrelation method, of class MarkovModelUtilities.	@Test public void testFingerprintCorrelation() { IDoubleArray M = null; IDoubleArray observable1 = null; IDoubleArray observable2 = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.fingerprintCorrelation(M, observable1, observable2); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testFingerprintAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintAutocorrelation(M, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testFingerprintPerturbation()\n {\n IDoubleArray M = null;\n IDoubleArray p0 = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintPerturbation(M, p0, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.correlation(M, observable1, observable2, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testLogLikelihoodCorrelationMatrix()\n {\n IDoubleArray corr = null;\n IDoubleArray C = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n double expResult = 0.0;\n double result = instance.logLikelihoodCorrelationMatrix(corr, C);\n assertEquals(expResult, result, 0.0);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test194() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n int int0 = ResultMatrix.SIGNIFICANCE_WIN;\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getVisibleRowCount();\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n intArray0[1] = 1;\n intArray0[2] = 0;\n resultMatrixSignificance0.m_RowOrder = intArray0;\n resultMatrixSignificance0.setSignificanceWidth(1);\n resultMatrixSignificance0.getSignificance(1, 322);\n assertEquals(1, resultMatrixSignificance0.getSignificanceWidth());\n }", "@Test\n\tpublic void testClassifier() {\n\t\t// Ensure there are no intermediate files left in tmp directory\n\t\tFile exampleFile = FileUtils.getTmpFile(FusionClassifier.EXAMPLE_FILE_NAME);\n\t\tFile predictionsFile = FileUtils.getTmpFile(FusionClassifier.PREDICTIONS_FILE_NAME);\n\t\texampleFile.delete();\n\t\tpredictionsFile.delete();\n\t\t\n\t\tList<List<Double>> columnFeatures = new ArrayList<>();\n\t\tSet<String> inputRecognizers = new HashSet();\n\t\tList<Map<String, Double>> supportingCandidates = new ArrayList();\n\t\tList<Map<String, Double>> competingCandidates = new ArrayList();\n\t\t\n\t\t// Supporting candidates\n\t\tMap<String, Double> supportingCandidatesTipo = new HashMap();\n\t\tsupportingCandidatesTipo.put(INPUT_RECOGNIZER_ID, TIPO_SIMILARITY_SCORE);\n\t\tsupportingCandidates.add(supportingCandidatesTipo);\n\n\t\tMap<String, Double> supportingCandidatesInsegna = new HashMap();\n\t\tsupportingCandidatesInsegna.put(INPUT_RECOGNIZER_ID, INSEGNA_SIMILARITY_SCORE);\n\t\tsupportingCandidates.add(supportingCandidatesInsegna);\n\t\t\n\t\t// Competing candidates\n\t\tMap<String, Double> competingCandidatesTipo = new HashMap();\n\t\tcompetingCandidatesTipo.put(INPUT_RECOGNIZER_ID, 0.);\n\t\tcompetingCandidates.add(competingCandidatesTipo);\n\t\tMap<String, Double> competingCandidatesInsegna = new HashMap();\n\t\tcompetingCandidatesInsegna.put(INPUT_RECOGNIZER_ID, 0.);\n\t\tcompetingCandidates.add(competingCandidatesInsegna);\n\n\t\t// Two columns: insegna and tipo from osterie_tipiche\n\t\t// A single column feature: uniqueness\n\t\tList<Double> featuresTipo = new ArrayList();\n\t\tfeaturesTipo.add(0.145833);\n\t\tcolumnFeatures.add(featuresTipo);\n\t\t\n\t\tList<Double> featuresInsegna = new ArrayList();\n\t\tfeaturesInsegna.add(1.0);\n\t\tcolumnFeatures.add(featuresInsegna);\n\t\t\n\t\t// A single input recognizer\n\t\tinputRecognizers.add(INPUT_RECOGNIZER_ID);\n\n\t\t// Create the classifier\n\t\tFusionClassifier classifier \n\t\t\t= new FusionClassifier(FileUtils.getSVMModelFile(MINIMAL_FUSION_CR_NAME), \n\t\t\t\t\tcolumnFeatures, \n\t\t\t\t\tRESTAURANT_CONCEPT_ID, \n\t\t\t\t\tinputRecognizers);\n\t\tList<Double> predictions \n\t\t\t= classifier.classifyColumns(supportingCandidates, competingCandidates);\n\t\t\n\t\tboolean tipoIsNegativeExample = predictions.get(0) < -0.5;\n\t\t\n//\t\tTODO This currently doesn't work -- need to investigate\n//\t\tboolean insegnaIsPositiveExample = predictions.get(1) > 0.5;\n\t\t\n\t\tassertTrue(tipoIsNegativeExample);\n//\t\tassertTrue(insegnaIsPositiveExample);\n\t\t\n\ttry {\n\t\tSystem.out.println(new File(\".\").getCanonicalPath());\n\t\tSystem.out.println(getClass().getProtectionDomain().getCodeSource().getLocation());\n\t} catch (IOException e) {\n\t\t// TODO Auto-generated catch block\n\t\te.printStackTrace();\n\t}\n\t\t\n\t}", "@Test\n public void testAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.autocorrelation(M, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test144() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getDefaultMeanWidth();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n resultMatrixSignificance0.setCountWidth(1);\n intArray0[1] = 0;\n intArray0[2] = 0;\n resultMatrixSignificance0.m_RowOrder = intArray0;\n resultMatrixSignificance0.getSignificance(0, 322);\n int int1 = resultMatrixSignificance0.getSignificanceWidth();\n assertEquals(1, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, int1);\n }", "@Test\n public void testClaimPrincipleDiag() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setPrincipleDiag,\n RdaFissClaim::getPrincipleDiag,\n RdaFissClaim.Fields.principleDiag,\n 7);\n }", "@Test void perfect() {\n\t\tstandardScene();\n\t\tsimulateScene(0);\n\n\t\tvar alg = new DistanceMetricTripleReprojection23();\n\n\t\tvar model = new MetricCameraTriple();\n\t\tmodel.view1.setTo(cameraA);\n\t\tmodel.view2.setTo(cameraB);\n\t\tmodel.view3.setTo(cameraC);\n\t\tmodel.view_1_to_2.setTo(truthView_1_to_i(1));\n\t\tmodel.view_1_to_3.setTo(truthView_1_to_i(2));\n\n\t\talg.setModel(model);\n\n\t\tfor (AssociatedTriple a : observations3) {\n\t\t\tassertEquals(0.0, alg.distance(a), UtilEjml.TEST_F64);\n\t\t}\n\n\t\tvar set = observations3.subList(4, 11);\n\t\tvar distances = new double[set.size()];\n\t\talg.distances(set, distances);\n\t\tfor (int i = 0; i < distances.length; i++) {\n\t\t\tassertEquals(0.0, distances[i], UtilEjml.TEST_F64);\n\t\t}\n\t}", "public void fuzzify() {\n ImageArray newCopy = currentIm.copy();\n \n int rows= currentIm.getRows();\n int cols= currentIm.getCols();\n \n for(int rr = 1; rr < rows-1; rr++){\n \n for(int cc = 1; cc < cols-1; cc++){\n fuzPixel(rr,cc,newCopy);\n \n }\n \n }\n \n currentIm = newCopy.copy();\n \n \n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.matthewsCorrelationCoefficient(5);\n assertEquals(0.0, double0, 0.01);\n }", "@Test(timeout = 4000)\n public void test184() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n intArray0[1] = intArray2;\n int[] intArray3 = new int[0];\n intArray0[2] = intArray3;\n int[] intArray4 = new int[6];\n intArray4[1] = 0;\n intArray4[2] = 2;\n intArray4[3] = 0;\n resultMatrixGnuPlot0.getRevision();\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.toStringRanking();\n int int0 = resultMatrixSignificance0.getDisplayCol(2);\n assertTrue(resultMatrixSignificance0.getPrintColNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(50, resultMatrixSignificance0.getRowNameWidth());\n assertEquals((-1), int0);\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n }", "@Test(timeout = 4000)\n public void test135() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[1] = intArray0[0];\n int[] intArray2 = new int[0];\n intArray0[2] = intArray2;\n int[] intArray3 = new int[6];\n intArray3[1] = 0;\n String string0 = resultMatrixGnuPlot0.doubleToString(0, 0);\n assertEquals(\"0.\", string0);\n \n intArray3[2] = 2;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int int1 = resultMatrixSignificance0.getSignificance(2469, 0);\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, int1);\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n }", "@Test\n public void testClaimXrefHicNbr() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setXrefHicNbr,\n RdaFissClaim::getXrefHicNbr,\n RdaFissClaim.Fields.xrefHicNbr,\n 12);\n }", "@Test\n public void testTransform() {\n File file1=new File(\"testData/testfile.mgf\");\n MgfReader rdr=new MgfReader(file1);\n ArrayList<Spectrum> specs = rdr.readAll();\n System.out.println(\"transform\");\n Spectrum spec = specs.get(0);\n ReciprocalTransform instance = new ReciprocalTransform();\n Spectrum expResult = null;\n Spectrum result = null;//instance.transform(spec);\n assertEquals(result, expResult);\n }", "public void testRecognizer() {\n\t\tfinal int TIPO_COLUMN_NUMBER = 4;\n\t\tfinal int INSEGNA_COLUMN_NUMBER = 3;\n\t\tfinal String FUSION_CR_ID = \"fusion\";\n\t\tfinal String CSV_PATH = \"/tables/Elenco_osterie_tipiche_civici.1386925759.csv\";\n\t\tfinal char COLUMN_SEPARATOR = ';';\n\n\t\t// Load CSV file\n//\t\tFile csvFile = new File(CSV_PATH); \n\t\tFile csvFile = FileUtils.getResourceFile(CSV_PATH);\n\t\tRowTable rowTable = RowTable.loadFromCSV(csvFile, COLUMN_SEPARATOR);\n\t\trowTable.removeHeaders();\n\t\t\n\t\t// Create recognizer\n\t\tSet<String> inputRecognizers = new HashSet<String>();\n\t\tinputRecognizers.add(INPUT_RECOGNIZER_ID);\n\t\tFile modelFile = FileUtils.getSVMModelFile(TWO_FEATURES_OSTERIE_CR_NAME);\n\t\tClassifierFusionCR fusionCR \n\t\t\t= new ClassifierFusionCR(FUSION_CR_ID, \n\t\t\t\t\tRESTAURANT_CONCEPT_ID, \n\t\t\t\t\trowTable, \n\t\t\t\t\tmodelFile, \n\t\t\t\t\tinputRecognizers);\n\t\t\n\t\t// Make list of candidates\n\t\tList<ColumnConceptCandidate> candidates = new ArrayList<ColumnConceptCandidate>();\n\t\tColumnConceptCandidate tipoCandidate\n\t\t\t= new ColumnConceptCandidate(TIPO_COLUMN_NUMBER, \n\t\t\t\t\tRESTAURANT_CONCEPT_ID, \n\t\t\t\t\tTIPO_SIMILARITY_SCORE,\n\t\t\t\t\tINPUT_RECOGNIZER_ID);\n\t\tcandidates.add(tipoCandidate);\n\t\tColumnConceptCandidate insegnaCandidate\n\t\t\t= new ColumnConceptCandidate(INSEGNA_COLUMN_NUMBER, \n\t\t\t\tRESTAURANT_CONCEPT_ID, \n\t\t\t\tINSEGNA_SIMILARITY_SCORE,\n\t\t\t\tINPUT_RECOGNIZER_ID);\n\t\tcandidates.add(insegnaCandidate);\n\t\t\n\t\t// Run recognizer\n\t\tfusionCR.computeScoredCandidates(candidates);\n\t\t\n\t\t// Make sure input candidates are gone...\n\t\tassertTrue(candidates.size() == 1);\n\t\t// ... and replaced with a new fusion candidate\n\t\tColumnConceptCandidate resultingCandidate = candidates.get(0);\n\t\tassertTrue(resultingCandidate.getOriginator().equals(FUSION_CR_ID));\n\t\t\n\t\t// Verify the score of the fusion candidate\n\t\tassertTrue(resultingCandidate.getScore() > 0.7);\n\t}", "@Test\n public void testClaimOriginalXrefDcn() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setOriginalXrefDcn,\n RdaFissClaim::getOriginalXrefDcn,\n RdaFissClaim.Fields.originalXrefDcn,\n 23);\n }", "@Test(timeout = 4000)\n public void test089() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n try { \n evaluation0.correlationCoefficient();\n fail(\"Expecting exception: Exception\");\n \n } catch(Exception e) {\n //\n // Can't compute correlation coefficient: class is nominal!\n //\n verifyException(\"weka.classifiers.Evaluation\", e);\n }\n }", "@Test\n public void test11() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"xx\\\"qa7Q>h6u=;6s.h+.<\");\n Evaluation evaluation0 = new Evaluation(instances0, (CostMatrix) null);\n double double0 = evaluation0.matthewsCorrelationCoefficient(0);\n assertEquals(0.0, double0, 0.01D);\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01D);\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01D);\n }", "@Test(timeout = 4000)\n public void test177() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getVisibleRowCount();\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n intArray0[1] = 1;\n intArray0[2] = 0;\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(1, 2);\n resultMatrixGnuPlot0.getDefaultColNameWidth();\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot();\n ResultMatrixGnuPlot resultMatrixGnuPlot2 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot2.setRowHidden(0, false);\n assertEquals(1, resultMatrixGnuPlot2.getVisibleRowCount());\n \n resultMatrixSignificance0.getDefaultShowStdDev();\n resultMatrixSignificance0.headerKeys();\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n }", "@Test(timeout = 4000)\n public void test176() throws Throwable {\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixPlainText0);\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV(resultMatrixPlainText0);\n resultMatrixCSV0.clearRanking();\n resultMatrixCSV0.getShowStdDev();\n resultMatrixCSV0.getColOrder();\n assertEquals(2, resultMatrixCSV0.getMeanPrec());\n assertTrue(resultMatrixCSV0.getPrintColNames());\n assertEquals(0, resultMatrixCSV0.getMeanWidth());\n assertEquals(0, resultMatrixCSV0.getStdDevWidth());\n assertEquals(0, resultMatrixCSV0.getSignificanceWidth());\n assertEquals(25, resultMatrixCSV0.getRowNameWidth());\n assertTrue(resultMatrixCSV0.getPrintRowNames());\n assertEquals(2, resultMatrixCSV0.getStdDevPrec());\n assertFalse(resultMatrixCSV0.getEnumerateRowNames());\n assertEquals(5, resultMatrixCSV0.getCountWidth());\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.setSignificance((-1), 2, 0);\n resultMatrixGnuPlot0.toStringRanking();\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n \n resultMatrixPlainText0.getDefaultPrintColNames();\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n }", "public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\n }", "@Test(timeout = 4000)\n public void test174() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n \n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV();\n Vector<String> vector0 = new Vector<String>();\n resultMatrixCSV1.m_HeaderValues = vector0;\n assertFalse(resultMatrixCSV1.getShowStdDev());\n \n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n resultMatrixSignificance0.getSignificance(44, 2967);\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n }", "@Test(timeout = 4000)\n public void test032() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(resultMatrixPlainText0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n resultMatrixSignificance0.assign(resultMatrixPlainText0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertEquals(2, resultMatrixPlainText0.getStdDevPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(40, resultMatrixPlainText0.getRowNameWidth());\n assertTrue(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[2];\n stringArray0[0] = \")\";\n resultMatrixSignificance0.m_EnumerateRowNames = true;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n stringArray0[1] = \"5GOL?NR}\";\n resultMatrixPlainText0.setOptions(stringArray0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(2, stringArray0.length);\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertNotNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"a\", string0);\n \n int[][] intArray0 = new int[3][8];\n int[] intArray1 = new int[3];\n intArray1[0] = 2;\n intArray1[1] = 1;\n intArray1[2] = 2;\n intArray0[0] = intArray1;\n int[] intArray2 = new int[3];\n assertFalse(intArray2.equals((Object)intArray1));\n \n intArray2[0] = 2;\n intArray2[1] = 1;\n intArray2[2] = 1;\n intArray0[1] = intArray2;\n int[] intArray3 = new int[6];\n assertFalse(intArray3.equals((Object)intArray2));\n assertFalse(intArray3.equals((Object)intArray1));\n \n intArray3[0] = 1;\n intArray3[1] = 1;\n intArray3[2] = 1;\n intArray3[3] = 0;\n intArray3[4] = 2;\n intArray3[5] = 2;\n intArray0[2] = intArray3;\n resultMatrixSignificance0.m_Significance = intArray0;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n \n boolean boolean0 = resultMatrixPlainText0.isSignificance((-2));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertFalse(boolean0);\n \n int int0 = resultMatrixPlainText0.getDefaultRowNameWidth();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(25, int0);\n \n resultMatrixPlainText0.setMean(2, 25, 0);\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertFalse(resultMatrixPlainText0.getDefaultEnumerateRowNames());\n assertEquals(5, resultMatrixPlainText0.getStdDevPrec());\n assertEquals(1, resultMatrixPlainText0.getVisibleRowCount());\n assertFalse(resultMatrixPlainText0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixPlainText0.getSignificanceWidth());\n assertTrue(resultMatrixPlainText0.getDefaultPrintRowNames());\n assertFalse(resultMatrixPlainText0.getPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getMeanPrec());\n assertFalse(resultMatrixPlainText0.getDefaultShowAverage());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixPlainText0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixPlainText0.meanPrecTipText());\n assertEquals(5, resultMatrixPlainText0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixPlainText0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixPlainText0.printRowNamesTipText());\n assertFalse(resultMatrixPlainText0.getShowAverage());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixPlainText0.showAverageTipText());\n assertTrue(resultMatrixPlainText0.getDefaultPrintColNames());\n assertEquals(2, resultMatrixPlainText0.getDefaultStdDevPrec());\n assertFalse(resultMatrixPlainText0.getPrintRowNames());\n assertEquals(\"Plain Text\", resultMatrixPlainText0.getDisplayName());\n assertEquals(0, resultMatrixPlainText0.getStdDevWidth());\n assertEquals(25, resultMatrixPlainText0.getRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixPlainText0.printColNamesTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixPlainText0.stdDevPrecTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixPlainText0.colNameWidthTipText());\n assertEquals(0, resultMatrixPlainText0.getColNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultMeanWidth());\n assertEquals(\"Generates the output as plain text (for fixed width fonts).\", resultMatrixPlainText0.globalInfo());\n assertEquals(1, resultMatrixPlainText0.getColCount());\n assertFalse(resultMatrixPlainText0.getRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixPlainText0.significanceWidthTipText());\n assertTrue(resultMatrixPlainText0.getDefaultEnumerateColNames());\n assertEquals(0, resultMatrixPlainText0.getCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixPlainText0.stdDevWidthTipText());\n assertFalse(resultMatrixPlainText0.getShowStdDev());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixPlainText0.removeFilterNameTipText());\n assertFalse(resultMatrixPlainText0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixPlainText0.enumerateColNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixPlainText0.showStdDevTipText());\n assertEquals(2, resultMatrixPlainText0.getDefaultMeanPrec());\n assertEquals(25, resultMatrixPlainText0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultColNameWidth());\n assertFalse(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n assertFalse(resultMatrixPlainText0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixPlainText0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixPlainText0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixPlainText0.countWidthTipText());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String string1 = resultMatrixSignificance0.toStringSummary();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"-summary data not set-\", string1);\n assertFalse(string1.equals((Object)string0));\n }", "public void test(List<String> modelFiles, String testFile, String prpFile) {\n/* 1014 / List<List<RankList>> trainingData = new ArrayList<>();\n/ 1015 / List<List<RankList>> testData = new ArrayList<>();\n/ / \n/ / \n/ 1018 / int nFold = modelFiles.size();\n/ / \n/ 1020 / List<RankList> samples = readInput(testFile);\n/ / \n/ 1022 / System.out.print(\"Preparing \" + nFold + \"-fold test data... \");\n/ 1023 / FeatureManager.prepareCV(samples, nFold, trainingData, testData);\n/ 1024 / System.out.println(\"[Done.]\");\n/ 1025 / double rankScore = 0.0D;\n/ 1026 / List<String> ids = new ArrayList<>();\n/ 1027 / List<Double> scores = new ArrayList<>();\n/ 1028 / for (int f = 0; f < nFold; f++) {\n/ / \n/ 1030 / List<RankList> test = testData.get(f);\n/ 1031 / Ranker ranker = this.rFact.loadRankerFromFile(modelFiles.get(f));\n/ 1032 / int[] features = ranker.getFeatures();\n/ 1033 / if (normalize) {\n/ 1034 / normalize(test, features);\n/ / }\n/ 1036 / for (RankList aTest : test) {\n/ 1037 / RankList l = ranker.rank(aTest);\n/ 1038 / double score = this.testScorer.score(l);\n/ 1039 / ids.add(l.getID());\n/ 1040 / scores.add(Double.valueOf(score));\n/ 1041 / rankScore += score;\n/ / } \n/ / } \n/ 1044 / rankScore /= ids.size();\n/ 1045 / ids.add(\"all\");\n/ 1046 / scores.add(Double.valueOf(rankScore));\n/ 1047 / System.out.println(this.testScorer.name() + \" on test data: \" + SimpleMath.round(rankScore, 4));\n/ / \n/ 1049 / if (!prpFile.isEmpty()) {\n/ / \n/ 1051 / savePerRankListPerformanceFile(ids, scores, prpFile);\n/ 1052 / System.out.println(\"Per-ranked list performance saved to: \" + prpFile);\n/ / } \n/ / }", "public Fingerprint[] fingerprints();", "@Test(timeout = 4000)\n public void test189() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(26, 26);\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance1);\n int int0 = resultMatrixGnuPlot0.getMeanPrec();\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(26, resultMatrixGnuPlot0.getColCount());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(2, int0);\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(26, resultMatrixGnuPlot0.getRowCount());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n }", "@Test(timeout = 4000)\n public void test142() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixSignificance0);\n boolean boolean0 = resultMatrixSignificance1.isAverage(120);\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(1, resultMatrixSignificance1.getRowCount());\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n assertFalse(boolean0);\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertTrue(resultMatrixSignificance1.getPrintRowNames());\n assertEquals(40, resultMatrixSignificance1.getRowNameWidth());\n assertEquals(1, resultMatrixSignificance1.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertFalse(resultMatrixSignificance1.getDefaultEnumerateRowNames());\n }", "@Test(timeout = 4000)\n public void test145() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(637, 0);\n resultMatrixGnuPlot0.toStringSummary();\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n resultMatrixPlainText0.globalInfo();\n int[] intArray0 = new int[0];\n resultMatrixGnuPlot0.setColOrder(intArray0);\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV2 = new ResultMatrixCSV();\n resultMatrixCSV2.setShowAverage(true);\n resultMatrixCSV1.getRevision();\n resultMatrixCSV0.clear();\n resultMatrixCSV2.globalInfo();\n resultMatrixCSV0.setEnumerateRowNames(true);\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixCSV0);\n resultMatrixSignificance0.setColHidden(0, false);\n assertTrue(resultMatrixCSV0.getEnumerateRowNames());\n \n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n resultMatrixSignificance1.getVisibleColCount();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n boolean boolean0 = resultMatrixCSV1.getPrintRowNames();\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertTrue(boolean0);\n }", "@Test(timeout = 4000)\n public void test002() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.weightedMatthewsCorrelation();\n assertEquals(Double.NaN, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "public void testTractComposition() {\n\n\tDT_TractographyImage linear = Images.getLinear();\n\n\tFibreTracker tracker = getTracker(linear);\n\t\n\tTractCollection tc = tracker.trackFromSeed(new Point3D(1.5 Images.xVoxelDim, 0.5 * Images.yVoxelDim, 0.5 * Images.zVoxelDim));\n \n\tassertEquals(1, tc.numberOfTracts());\n\n\tTract t = tc.getTract(0);\n\n\tassertEquals(5, t.numberOfPoints());\n \n boolean[] hitVoxel = new boolean[5];\n\n for (int i = 0; i < 5; i++) {\n\n Point3D p = t.getPoint(i);\n\n int vox = (int)(p.x / linear.xVoxelDim());\n\n hitVoxel[vox] = true;\n }\n\n for (int i = 0; i < 5; i++) {\n assertTrue(\"Tract did not intersect all voxels\", hitVoxel[i]);\n }\n\n }", "@Test\n public void testGetPairwiseTest()\n {\n System.out.println(\"getPairwiseTest\");\n BonferroniCorrection instance = new BonferroniCorrection( WilcoxonSignedRankConfidence.INSTANCE );\n assertSame( WilcoxonSignedRankConfidence.INSTANCE, instance.getPairwiseTest() );\n }", "public float testAll(){\n List<Long> allIdsToTest = new ArrayList<>();\n allIdsToTest = idsToTest;\n //allIdsToTest.add(Long.valueOf(11));\n //allIdsToTest.add(Long.valueOf(12));\n //allIdsToTest.add(Long.valueOf(13));\n\n float totalTested = 0;\n float totalCorrect = 0;\n float totalUnrecognized = 0;\n\n for(Long currentID : allIdsToTest) {\n String pathToPhoto = \"photo\\\\testing\\\\\" + currentID.toString();\n File currentPhotosFile = new File(pathToPhoto);\n\n if(currentPhotosFile.exists() && currentPhotosFile.isDirectory()) {\n\n File[] listFiles = currentPhotosFile.listFiles();\n\n for(File file : listFiles){\n if (!file.getName().endsWith(\".pgm\")) { //search how to convert all image to .pgm\n throw new IllegalArgumentException(\"The file of the student \" + currentID + \" contains other files than '.pgm'.\");\n }\n else{\n Mat photoToTest = Imgcodecs.imread(pathToPhoto + \"\\\\\" + file.getName(), Imgcodecs.IMREAD_GRAYSCALE);\n try {\n RecognitionResult testResult = recognize(photoToTest);\n\n if(testResult.label[0] == currentID){\n totalCorrect++;\n }\n }\n catch (IllegalArgumentException e){\n System.out.println(\"One face unrecognized!\");\n totalUnrecognized++;\n }\n\n totalTested++;\n }\n }\n }\n }\n\n System.out.println(totalUnrecognized + \" face unrecognized!\");\n\n System.out.println(totalCorrect + \" face correct!\");\n System.out.println(totalTested + \" face tested!\");\n\n float percentCorrect = totalCorrect / totalTested;\n return percentCorrect;\n }", "public static void main(String[] args)\n\t{\n\t\talg.ub.predictor.Predictor predictorUB = new alg.ub.predictor.Resnick();\n\t\talg.ub.neighbourhood.Neighbourhood neighbourhoodUB = new ThresholdNeighbourhood(20,0);\n\t\tSimilarityMetric metricUB = new HybridSim(0.4,0.5,0.1);\n\t\t\n\t\t// configure the Item-based CF algorithm - set the predictor, neighbourhood and similarity metric ...\n\t\tPredictor predictorIB = new Resnick();\n\t\tNeighbourhood neighbourhoodIB = new kNearestNeighbourhood(20);\n\t\tSimilarityMetric metricIB = new HybridSim(0.8,0.3,0.1);\n\n\t\t\n\t\t// set the paths and filenames of the item file, train file and test file ...\n\t\tString itemFile = \"ML dataset\" + File.separator + \"u.item\";\n\t\tString trainFile = \"ML dataset\" + File.separator + \"u.train\";\n\t\tString testFile = \"ML dataset\" + File.separator + \"u.test\";\n\t\t\n\t\t// set the path and filename of the output file ...\n\t\tString outputFile = \"results\" + File.separator + \"predictions.txt\";\n\t\t\n\t\t/////////////////////////////////////////////////////////////////////////////////\n\t\t// Evaluates the CF algorithm:\n\t\t// - the RMSE (if actual ratings are available) and coverage are output to screen\n\t\t// - the output file is created\n\t\tDatasetReader reader = new DatasetReader(itemFile, trainFile, testFile);\n\t\t\n\t\tCFAlgorithm hbcf = new HybirdBasedCF(predictorIB, predictorUB, neighbourhoodIB, neighbourhoodUB, metricIB, metricUB, reader);\n\t\tEvaluator eval = new Evaluator(hbcf, reader.getTestData());\n\t\teval.writeResults(outputFile);\n\t\t\n\t\tDouble RMSE = eval.getRMSE();\n\t\tif(RMSE != null) System.out.println(\"RMSE: \" + RMSE);\n\t\t\n\t\tfor(int i = 1; i <= 5; i++)\n\t\t{\n\t\t\tRMSE = eval.getRMSE(i);\n\t\t\tif(RMSE != null) System.out.println(\"RMSE (true rating = \" + i + \"): \" + RMSE);\n\t\t}\n\t\t\n\t\tdouble coverage = eval.getCoverage();\n\t\tSystem.out.println(\"coverage: \" + coverage + \"%\");\n\t}", "@Test(timeout = 4000)\n public void test156() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(50, 50);\n resultMatrixLatex0.m_ShowAverage = false;\n resultMatrixLatex0.m_ShowStdDev = true;\n boolean[] booleanArray0 = new boolean[5];\n booleanArray0[0] = false;\n booleanArray0[1] = false;\n resultMatrixLatex0.m_StdDevWidth = (-3085);\n booleanArray0[2] = true;\n resultMatrixLatex0.setPrintColNames(true);\n booleanArray0[3] = true;\n resultMatrixLatex0.setStdDevWidth((-1));\n booleanArray0[4] = true;\n resultMatrixLatex0.m_RowHidden = booleanArray0;\n resultMatrixLatex0.getDefaultEnumerateColNames();\n resultMatrixLatex0.colNameWidthTipText();\n resultMatrixLatex0.setPrintRowNames(false);\n resultMatrixLatex0.removeFilterName(\"\");\n resultMatrixLatex0.padString(\"\", 0, false);\n ResultMatrixSignificance resultMatrixSignificance0 = null;\n try {\n resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixLatex0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 5\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test058() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n String[] stringArray0 = new String[4];\n double[] doubleArray0 = new double[7];\n doubleArray0[3] = (double) 1;\n String[] stringArray1 = resultMatrixSignificance0.getOptions();\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertNotNull(stringArray1);\n assertNotSame(stringArray1, stringArray0);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(18, stringArray1.length);\n assertFalse(stringArray1.equals((Object)stringArray0));\n \n doubleArray0[6] = (double) 0;\n stringArray0[3] = \")\";\n try { \n resultMatrixSignificance0.setOptions(stringArray0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Utils\", e);\n }\n }", "@Test(timeout = 4000)\n public void test188() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(26, 26);\n resultMatrixSignificance0.clearRanking();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n resultMatrixGnuPlot0.setMean(102, 1954, 1954);\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n assertEquals(26, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n }", "@Test\n public void testClaimHicNo() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setHicNo, RdaFissClaim::getHicNo, \"hicNo\", 12);\n }", "@BeforeClass\r\n\tpublic static void setUpBeforeClass() throws FileNotFoundException, UnsupportedEncodingException {\r\n\t\t//Load the opencv .dll library\r\n\t\t\t\tString osName = System.getProperty(\"os.name\");\r\n\t\t\t\tif (osName.startsWith(\"Win\")) {\r\n\t\t\t\t\ttry {\r\n\t\t\t\t\t\tInputStream in = null;\r\n\t\t\t\t\t\tFile fileOut = null;\r\n\r\n\t\t\t\t\t\tint bitness = Integer.parseInt(System.getProperty(\"sun.arch.data.model\"));\r\n\r\n\t\t\t\t\t\tif (bitness == 64) {\r\n\t\t\t\t\t\t\tin = Main.class.getResourceAsStream(\"/libraries/opencv/build/java/x64/opencv_java320.dll\");\r\n\t\t\t\t\t\t\tfileOut = File.createTempFile(\"lib\", \".dll\");\r\n\t\t\t\t\t\t} else {\r\n\t\t\t\t\t\t\t//if OS is 32 bit\r\n\t\t\t\t\t\t\tin = Main.class.getResourceAsStream(\"/libraries/opencv/build/java/x86/opencv_java320.dll\");\r\n\t\t\t\t\t\t\tfileOut = File.createTempFile(\"lib\", \".dll\");\r\n\t\t\t\t\t\t}\r\n\r\n\t\t\t\t\t\tOutputStream out = FileUtils.openOutputStream(fileOut);\r\n\t\t\t\t\t\tIOUtils.copy(in, out);\r\n\t\t\t\t\t\tin.close();\r\n\t\t\t\t\t\tout.close();\r\n\r\n\t\t\t\t\t\tSystem.load(fileOut.toString());\r\n\r\n\t\t\t\t\t} catch (Exception e) {\r\n\t\t\t\t\t\tthrow new RuntimeException(\"Failed to load opencv native library\", e);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t/\r\n\t\t Genero una nuova cartella internamente al progetto in modo da non avere\r\n\t\t * problemi di path\r\n\t\t /\r\n\t\tString path = \"Experiment\";\r\n\t\tFile newFolder = new File(path);\r\n\t\tString sp = System.getProperty(\"file.separator\");\r\n\t\tnewFolder.mkdir();\r\n\t\t\r\n\t\tPrintWriter writer = null;\r\n\t\twriter = new PrintWriter(path + sp + \"Report.txt\", \"UTF-8\");\r\n\t\twriter.println(\"testa 123 h 3 s 1 v\");\r\n\t\twriter.println(\"testb 321 ert 2 a 3 g\");\r\n\t\twriter.println();\r\n\t\twriter.println(\"a 456\");\r\n\t\twriter.println(\"b 654\");\r\n\t\twriter.close();\r\n\t\t\r\n\t\tMat testFrame = new Mat(320, 240, CvType.CV_8UC3, new Scalar(255, 230, 240));\r\n\t\tfor (int i=100; i<120; i++) {\r\n\t\t for (int j=30; j<80; j++) {\r\n\t\t \tdouble[] data = testFrame.get(i, j);\r\n\t\t \tfor(int k=0; k<testFrame.channels(); k++) {\r\n\t\t \t\tdata[k] = k2;\r\n\t\t \t}\r\n\t\t \ttestFrame.put(i, j, data);\r\n\t\t }\r\n\t\t}\r\n\t\tfor (int i=160; i<210; i++) {\r\n\t\t for (int j=90; j<180; j++) {\r\n\t\t \tdouble[] data = testFrame.get(i, j);\r\n\t\t \tfor (int k=0; k<testFrame.channels(); k++) {\r\n\t\t \t\tdata[k] = (5-k)20;\r\n\t\t \t}\r\n\t\t \ttestFrame.put(i, j, data);\r\n\t\t }\r\n\t\t}\r\n\t\tVideoWriter videoWriter = new VideoWriter();\r\n\t videoWriter.open(path + sp + \"Video.avi\", VideoWriter.fourcc('M', 'S', 'V', 'C'), 10, testFrame.size(), true); //WHAM MSVC CRAM\r\n\t videoWriter.write(testFrame);\r\n\t\tvideoWriter.release();\r\n\t}", "@Test\n public void testPearson() {\n System.out.println(\"pearson\");\n double[] x = {44.4, 45.9, 41.9, 53.3, 44.7, 44.1, 50.7, 45.2, 60.1};\n double[] y = {2.6, 3.1, 2.5, 5.0, 3.6, 4.0, 5.2, 2.8, 3.8};\n\n CorTest result = CorTest.pearson(x, y);\n assertEquals(0.5711816, result.cor, 1E-7);\n assertEquals(7, result.df, 1E-10);\n assertEquals(1.8411, result.t, 1E-4);\n assertEquals(0.1082, result.pvalue, 1E-4);\n }", "@Test(timeout = 4000)\n public void test085() throws Throwable {\n int[] intArray0 = new int[2];\n intArray0[0] = 0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(166, 0);\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(166, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(166, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n int int0 = ResultMatrix.SIGNIFICANCE_LOSS;\n assertEquals(2, int0);\n \n int int1 = resultMatrixSignificance0.getDefaultRowNameWidth();\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(166, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(0, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(166, resultMatrixSignificance0.getColCount());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(40, int1);\n assertFalse(int1 == int0);\n }", "public void testDifferentDotProducts() {\n List<ISpectrum> spectra = ClusteringTestUtilities.readISpectraFromResource();\n\n ISpectrum[] spectrums = (ISpectrum[]) spectra.toArray();\n\n int total = 0;\n int different = 0;\n ISimilarityChecker checker = new FrankEtAlDotProduct(0.5F, 15, true);\n ISimilarityChecker currentChecker = new FrankEtAlDotProductJohannes();\n\n Set<String> interestingIds = new HashSet<>();\n\n\n for (int i = 0; i < spectrums.length; i++) {\n ISpectrum psm1 = spectrums[i];\n for (int j = i + 1; j < spectrums.length; j++) {\n ISpectrum psm2 = spectrums[j];\n double dotOrg = checker.assessSimilarity(psm1, psm2);\n double dotNew = currentChecker.assessSimilarity(psm1, psm2);\n\n if (Math.abs(dotOrg - dotNew) > 0.00001) {\n different++;\n\n StringBuilder usedPeaksTester = new StringBuilder();\n\n // these are the really interesting cases\n dotOrg = checker.assessSimilarity(psm1, psm2);\n\n double noClosestPeak = dotNew;\n dotNew = currentChecker.assessSimilarity(psm1, psm2);\n String id2 = psm2.getId();\n String id1 = psm1.getId();\n interestingIds.add(id1);\n interestingIds.add(id2);\n\n // System.out.println(usedPeaksTester.toString());\n // System.out.printf(id2 + \":\" + id1 + \" \" + \"Old: %8.3f Newx: %8.3f New: %8.3f\\tDiff: %8.3f\\n\", dotOrg, noClosestPeak, dotNew, dotOrg - dotNew);\n }\n total++;\n\n }\n\n }\n\n List<String> sorted = new ArrayList<>(interestingIds);\n Collections.sort(sorted);\n // System.out.println(\"Interesting Ids\");\n for (String s : sorted) {\n // System.out.println(s);\n }\n\n\n TestCase.assertEquals(0, different);\n }", "@Test(timeout = 4000)\n public void test101() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n Vector<Integer> vector0 = new Vector<Integer>();\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertNotNull(vector0);\n \n resultMatrixSignificance0.m_HeaderKeys = vector0;\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertTrue(vector0.isEmpty());\n assertEquals(10, vector0.capacity());\n assertEquals(\"[]\", vector0.toString());\n assertEquals(0, vector0.size());\n assertTrue(resultMatrixSignificance0.m_HeaderKeys.isEmpty());\n assertEquals(\"[]\", resultMatrixSignificance0.m_HeaderKeys.toString());\n assertEquals(0, resultMatrixSignificance0.m_HeaderKeys.size());\n assertEquals(10, resultMatrixSignificance0.m_HeaderKeys.capacity());\n \n boolean boolean0 = vector0.add((Integer) 0);\n assertEquals(10, vector0.capacity());\n assertEquals(1, vector0.size());\n assertEquals(\"[0]\", vector0.toString());\n assertFalse(vector0.isEmpty());\n assertTrue(vector0.contains(0));\n assertTrue(boolean0);\n \n int int0 = resultMatrixSignificance0.getDefaultMeanWidth();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, int0);\n \n String string0 = resultMatrixSignificance0.getRevision();\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertNotNull(string0);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(\"8034\", string0);\n \n resultMatrixSignificance0.setOptions((String[]) null);\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertFalse(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n \n ResultMatrixHTML resultMatrixHTML0 = new ResultMatrixHTML(618, 691);\n }", "@Test\n public void testCosineSimilarity() {\n SimilarityFunctions s = new SimilarityFunctions();\n\n double[] vector1 = new double[]{1, 2, 3};\n double[] vector2 = new double[]{2, 6, 3};\n double[] vector3 = new double[]{0, 1, 2};\n double[] vector4 = new double[]{2, 0, 0, 0};\n double[] vector5 = new double[]{1, 2.4, 3.9, 1};\n double[] vector6 = new double[]{1};\n double[] vector7 = new double[]{-1};\n\n assertEquals(0.8781440805693944, s.cosineSimilarity(vector1, vector2), .001);\n assertEquals(0.9561828874675149, s.cosineSimilarity(vector1, vector3), .001);\n assertEquals(0.7666518779999278, s.cosineSimilarity(vector2, vector3), .001);\n assertEquals(0.20865053489458874, s.cosineSimilarity(vector4, vector5), .001);\n assertEquals(-1.0, s.cosineSimilarity(vector6, vector7), .001);\n }", "@Test(timeout = 4000)\n public void test02() throws Throwable {\n Discretize discretize0 = new Discretize(\"l{e5SNh\");\n boolean boolean0 = true;\n discretize0.m_ClassIndex = 177;\n discretize0.setUseEqualFrequency(true);\n double[][] doubleArray0 = new double[5][9];\n double[] doubleArray1 = new double[3];\n doubleArray1[0] = (double) 177;\n doubleArray1[1] = (double) 177;\n doubleArray1[2] = (double) 177;\n doubleArray0[0] = doubleArray1;\n double[] doubleArray2 = new double[2];\n doubleArray2[0] = (double) 177;\n doubleArray2[1] = (double) 177;\n doubleArray0[1] = doubleArray2;\n double[] doubleArray3 = new double[9];\n doubleArray3[0] = (double) 177;\n doubleArray3[1] = (double) 177;\n doubleArray3[2] = (double) 177;\n doubleArray3[3] = (double) 177;\n doubleArray3[4] = (double) 177;\n doubleArray3[5] = (double) 177;\n doubleArray3[6] = (double) 177;\n doubleArray3[7] = (double) 177;\n doubleArray3[8] = (double) 177;\n doubleArray0[2] = doubleArray3;\n double[] doubleArray4 = new double[8];\n doubleArray4[0] = (double) 177;\n doubleArray4[1] = (double) 177;\n doubleArray4[2] = (double) 177;\n doubleArray4[3] = (double) 177;\n doubleArray4[4] = (double) 177;\n doubleArray4[5] = (double) 177;\n doubleArray4[6] = (double) 177;\n doubleArray4[7] = (double) 177;\n doubleArray0[3] = doubleArray4;\n double[] doubleArray5 = new double[0];\n doubleArray0[4] = doubleArray5;\n discretize0.m_CutPoints = doubleArray0;\n discretize0.listOptions();\n discretize0.setIgnoreClass(true);\n String[] stringArray0 = new String[0];\n Discretize.main(stringArray0);\n discretize0.findNumBinsTipText();\n discretize0.setInvertSelection(true);\n // Undeclared exception!\n try { \n discretize0.getBinRangesString(511);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 511\n //\n verifyException(\"weka.filters.unsupervised.attribute.Discretize\", e);\n }\n }", "@Test\n public void test_IsFracCorr() {\n System.out.println(\"Testing MeasuredRatioModel's isFracCorr()\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = false;\n boolean result = instance.isFracCorr();\n assertEquals(expResult, result);\n instance = new MeasuredRatioModel(\"Specific\",new BigDecimal(\"213\"),\"ABS\",new BigDecimal(\"0.4324\"),true,true);\n result = instance.isFracCorr();\n expResult=true;\n assertEquals(expResult, result);\n }", "@Test\n public void showHandledPeaksForInterestingCases() {\n List<ISpectrum> spectra = ClusteringTestUtilities.readISpectraFromResource();\n\n ISpectrum[] spectrums = (ISpectrum[]) spectra.toArray();\n\n ISimilarityChecker checker = new FrankEtAlDotProductTester();\n ISimilarityChecker currentChecker = new FrankEtAlDotProduct(0.5F, 15, true);\n\n //noinspection UnnecessaryLocalVariable,UnusedDeclaration,UnusedAssignment\n Set<String> interestingIds = new HashSet<>();\n\n\n for (int i = 0; i < spectrums.length; i++) {\n ISpectrum psm1 = spectrums[i];\n String id1 = psm1.getId();\n if (!INTERESTING_ID_SET.contains(id1))\n continue; // not an interesting case\n\n for (int j = i + 1; j < spectrums.length; j++) {\n ISpectrum psm2 = spectrums[j];\n\n String id2 = psm2.getId();\n if (!INTERESTING_ID_SET.contains(id2))\n continue; // not an interesting case\n\n // System.out.println(\"Comparing \" + id1 + \" \" + id2);\n\n StringBuilder usedPeaksTester = new StringBuilder();\n\n //noinspection UnnecessaryLocalVariable,UnusedDeclaration,UnusedAssignment\n double dotOrg = checker.assessSimilarity(psm1, psm2);\n\n // System.out.println(\"Peaks compared original Frank Et Al (when the code is written)\");\n // print usage\n // System.out.println(usedPeaksTester.toString());\n\n usedPeaksTester.setLength(0); // clear debug output\n double dotNew = currentChecker.assessSimilarity(psm1, psm2);\n\n // print usage\n // System.out.println(\"Peaks compared current Frank Et Al \");\n // System.out.println(usedPeaksTester.toString());\n\n\n }\n\n }\n }", "@Test(timeout = 4000)\n public void test033() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.matthewsCorrelationCoefficient((-2935));\n assertEquals(0.0, double0, 0.01);\n }", "@LargeTest\n public void testIntrinsicsColorMatrix() {\n TestAction ta = new TestAction(TestName.INTRINSICS_COLOR_MATRIX);\n runTest(ta, TestName.INTRINSICS_COLOR_MATRIX.name());\n }", "@Test\n public void fsckMetricsInconsistentFwdAndDupeRev() throws Exception {\n storage.addColumn(UID_TABLE, new byte[] {0, 0, 2}, NAME_FAMILY, \n METRICS, \"wtf\".getBytes(MockBase.ASCII()));\n storage.addColumn(UID_TABLE, \"wtf\".getBytes(MockBase.ASCII()), ID_FAMILY, \n METRICS, new byte[] {0, 0, 1});\n storage.addColumn(UID_TABLE, new byte[] { 0 }, ID_FAMILY, METRICS, Bytes.fromLong(3L));\n int errors = (Integer)fsck.invoke(null, client, \n UID_TABLE, false, false);\n assertEquals(5, errors);\n }", "public void testStep() {\n\n DT_TractographyImage crossing = Images.getCrossing();\n\n FACT_FibreTracker tracker = new FACT_FibreTracker(crossing);\n\n Vector3D[] pds = crossing.getPDs(1,1,1);\n\n Vector3D step = tracker.getFirstStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), 0, true);\n\n assertEquals(1.0, pds[0].dot(step.normalized()), 1E-8);\n\n assertEquals(Images.xVoxelDim / 2.0, step.mod(), 0.05);\n \n step = tracker.getFirstStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), 0, false);\n\n assertEquals(-1.0, pds[0].dot(step.normalized()), 1E-8);\n\n step = tracker.getFirstStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), 1, true);\n\n assertEquals(1.0, pds[1].dot(step.normalized()), 1E-8);\n\n\n for (int i = 0; i < 2; i++) {\n\n step = tracker.getNextStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), new Vector3D(pds[i].x + 0.01, pds[i].y + 0.02, pds[i].z + 0.03).normalized());\n\n assertEquals(1.0, pds[i].dot(step.normalized()), 1E-8);\n\n }\n\n \n }", "@Test\n public void testClaimPracLocZip() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setPracLocZip,\n RdaFissClaim::getPracLocZip,\n RdaFissClaim.Fields.pracLocZip,\n 15);\n }", "@Test\n public void testIntermediaryNb() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setIntermediaryNb,\n RdaFissClaim::getIntermediaryNb,\n \"intermediaryNb\",\n 5);\n }", "private void test() {\r\n \ttry {\r\n\t\t\ttestWriter.write(\"Testing started...\");\r\n\t\t\r\n\t\t\tpredictions = new HashMap<>();\r\n \trightAnswers = new HashMap<>();\r\n\r\n\r\n \t// Get results and check them\r\n \tEvaluation eval = new Evaluation(numLabels);\r\n \tfinalTestIterator.reset();\r\n\r\n \tint metaDataCounter = 0;\r\n \tint addrCounter = 0;\r\n\r\n \twhile(finalTestIterator.hasNext()) {\r\n \t// If iterator has next dataset\r\n \tfinalTestData = finalTestIterator.next();\r\n \t// Get meta-data from this dataset\r\n\r\n \t@SuppressWarnings(\"rawtypes\")\r\n \tList<?> exampleMetaData = finalTestData.getExampleMetaData();\r\n \tIterator<?> exampleMetaDataIterator = exampleMetaData.iterator();\r\n \ttestWriter.write(\"\\n Metadata from dataset #\" + metaDataCounter + \":\\n\");\r\n \tSystem.out.println(\"\\n Metadata from dataset #\" + metaDataCounter + \":\\n\");\r\n\r\n \t// Normalize data\r\n \tnormalizer.fit(finalTestData);\r\n\r\n \t// Count processed images\r\n \tnumProcessed = (metaDataCounter + 1) * batchSizeTesting;\r\n \tloaded.setText(\"Loaded and processed: \" + numProcessed + \" pictures\");\r\n\r\n \tINDArray features = finalTestData.getFeatures();\r\n \tINDArray labels = finalTestData.getLabels();\r\n \tSystem.out.println(\"\\n Right labels #\" + metaDataCounter + \":\\n\");\r\n \ttestWriter.write(\"\\n Right labels #\" + metaDataCounter + \":\\n\");\r\n \t// Get right answers of NN for every input object\r\n \tint[][] rightLabels = labels.toIntMatrix();\r\n \tfor (int i = 0; i < rightLabels.length; i++) {\r\n \tRecordMetaDataURI metaDataUri = (RecordMetaDataURI) exampleMetaDataIterator.next();\r\n \t// Print address of image\r\n \tSystem.out.println(metaDataUri.getLocation());\r\n \tfor (int j = 0; j < rightLabels[i].length; j++) {\r\n \tif(rightLabels[i][j] == 1) {\r\n \t//public V put(K key, V value) -> key=address, value=right class label\r\n \trightAnswers.put(metaDataUri.getLocation(), j);\r\n \tthis.addresses.add(metaDataUri.getLocation());\r\n \t}\r\n \t}\r\n \t}\r\n \tSystem.out.println(\"\\nRight answers:\");\r\n \ttestWriter.write(\"\\nRight answers:\");\r\n \t// Print right answers\r\n \tfor(Map.Entry<String, Integer> answer : predictions.entrySet()){\r\n \t\ttestWriter.write(String.format(\"Address: %s Right answer: %s \\n\", answer.getKey(), answer.getValue().toString()));\r\n \tSystem.out.printf(String.format(\"Address: %s Right answer: %s \\n\", answer.getKey(), answer.getValue().toString()));\r\n \t}\r\n\r\n \t// Evaluate on the test data\r\n \tINDArray predicted = vgg16Transfer.outputSingle(features);\r\n \tint predFoundCounter = 0;\r\n \tSystem.out.println(\"\\n Labels predicted #\" + metaDataCounter + \":\\n\");\r\n \ttestWriter.write(\"\\n Labels predicted #\" + metaDataCounter + \":\\n\");\r\n \t// Get predictions of NN for every input object\r\n \tint[][] labelsPredicted = predicted.toIntMatrix();\r\n \tfor (int i = 0; i < labelsPredicted.length; i++) {\r\n \tfor (int j = 0; j < labelsPredicted[i].length; j++) {\r\n \tpredFoundCounter++;\r\n \tif(labelsPredicted[i][j] == 1) {\r\n \t//public V put(K key, V value) -> key=address, value=predicted class label\r\n \tpredFoundCounter = 0;\r\n \tthis.predictions.put(this.addresses.get(addrCounter), j);\r\n \t}\r\n \telse {\r\n \tif (predFoundCounter == 3) {\r\n \t// To fix bug when searching positive predictions\r\n \tthis.predictions.put(this.addresses.get(addrCounter), 2);\r\n \t}\r\n \t}\r\n \t}\r\n \taddrCounter++;\r\n \t}\r\n \tSystem.out.println(\"\\nPredicted:\");\r\n \ttestWriter.write(\"\\nPredicted:\");\r\n \t// Print predictions\r\n \tfor(Map.Entry<String, Integer> pred : rightAnswers.entrySet()){\r\n \tSystem.out.printf(\"Address: %s Predicted answer: %s \\n\", pred.getKey(), pred.getValue().toString());\r\n \ttestWriter.write(String.format(\"Address: %s Predicted answer: %s \\n\", pred.getKey(), pred.getValue().toString()));\r\n \t}\r\n \tmetaDataCounter++;\r\n\r\n \teval.eval(labels, predicted);\r\n \t}\r\n\r\n \tSystem.out.println(\"\\n\\n Cheack loaded model on test data...\");\r\n \tSystem.out.println(String.format(\"Evaluation on test data - [Accuracy: %.3f, P: %.3f, R: %.3f, F1: %.3f] \",\r\n \t\t\teval.accuracy(), eval.precision(), eval.recall(), eval.f1()));\r\n \tSystem.out.println(eval.stats());\r\n \tSystem.out.println(eval.confusionToString());\r\n \ttestWriter.write(\"\\n\\n Cheack loaded model on test data...\");\r\n \ttestWriter.write(String.format(\"Evaluation on test data - [Accuracy: %.3f, P: %.3f, R: %.3f, F1: %.3f] \",\r\n \t\t\teval.accuracy(), eval.precision(), eval.recall(), eval.f1()));\r\n \ttestWriter.write(eval.stats());\r\n \ttestWriter.write(eval.confusionToString());\r\n\r\n \t// Save test rates\r\n \tthis.f1_score = eval.f1();\r\n \tthis.recall_score = eval.recall();\r\n \tthis.accuracy_score = eval.accuracy();\r\n \tthis.precision_score = eval.precision();\r\n \tthis.falseNegativeRate_score = eval.falseNegativeRate();\r\n \tthis.falsePositiveRate_score = eval.falsePositiveRate();\r\n\r\n \tthis.f1.setText(\"F1 = \" + String.format(\"%.4f\", f1_score));\r\n \tthis.recall.setText(\"Recall = \" + String.format(\"%.4f\", recall_score));\r\n \tthis.accuracy.setText(\"Accuracy = \" + String.format(\"%.4f\", accuracy_score));\r\n \tthis.precision.setText(\"Precision = \" + String.format(\"%.4f\", precision_score));\r\n \tthis.falseNegativeRate.setText(\"False Negative Rate = \" + String.format(\"%.4f\", falseNegativeRate_score));\r\n \tthis.falsePositiveRate.setText(\"False Positive Rate = \" + String.format(\"%.4f\", falsePositiveRate_score));\r\n \r\n \ttestWriter.write(\"F1 = \" + String.format(\"%.4f\", f1_score));\r\n \ttestWriter.write(\"Recall = \" + String.format(\"%.4f\", recall_score));\r\n \ttestWriter.write(\"Accuracy = \" + String.format(\"%.4f\", accuracy_score));\r\n \ttestWriter.write(\"Precision = \" + String.format(\"%.4f\", precision_score));\r\n \ttestWriter.write(\"False Negative Rate = \" + String.format(\"%.4f\", falseNegativeRate_score));\r\n \ttestWriter.write(\"False Positive Rate = \" + String.format(\"%.4f\", falsePositiveRate_score));\r\n\r\n \tshowBarChart();\r\n \t} catch (IOException e) {\r\n \t\tSystem.err.println(\"Error while writing to log file\");\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n }", "@Test\n\tpublic void withLensDistortion() {\n\t\tQrCodeDistortedChecks helper = new QrCodeDistortedChecks();\n\n\t\thelper.render();\n\n\t\t// find location of postion patterns and create graph\n\t\tFastQueue<PositionPatternNode> pps = new FastQueue<>(PositionPatternNode.class,true);\n\n\t\tpps.grow().square = new Polygon2D_F64(4);\n\t\tpps.grow().square = new Polygon2D_F64(4);\n\t\tpps.grow().square = new Polygon2D_F64(4);\n\n\t\thelper.setLocation(pps.get(0).square,pps.get(1).square,pps.get(2).square);\n\t\tfor (int i = 0; i < pps.size; i++) {\n\t\t\tpps.get(i).grayThreshold = 125;\n\t\t}\n\t\t// these numbers were found by sketching the QR code\n\t\tconnect(pps.get(2),pps.get(1),3,1);\n\t\tconnect(pps.get(0),pps.get(1),0,2);\n\n\t\t// Should fail when run on distorted image\n\t\tQrCodeDecoderImage<GrayF32> decoder = new QrCodeDecoderImage<>(null,GrayF32.class);\n\t\tdecoder.process(pps,helper.image);\n\n\t\tassertEquals(0, decoder.successes.size());\n\n\t\t// now tell it how to undistort the image\n\t\tdecoder.setLensDistortion(helper.image.width,helper.image.height,helper.distortion);\n\t\tfor (int i = 0; i < pps.size; i++) {\n\t\t\thelper.distToUndist(pps.get(i).square);\n\t\t}\n\t\tdecoder.process(pps,helper.image);\n\n\t\tassertEquals(1,decoder.successes.size());\n\t\tQrCode found = decoder.getFound().get(0);\n\t\tassertTrue(found.message.equals(\"123\"));\n\t}", "@Test(timeout = 4000)\n public void test180() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.clearRanking();\n int int0 = 2365;\n resultMatrixSignificance0.doubleToString(63.65294946501, 2365);\n resultMatrixSignificance0.clearHeader();\n int[][] intArray0 = new int[1][8];\n int[] intArray1 = new int[5];\n intArray1[0] = 2;\n intArray1[1] = 2365;\n intArray1[2] = 1;\n intArray1[3] = 0;\n intArray1[4] = 2365;\n intArray0[0] = intArray1;\n // Undeclared exception!\n try { \n resultMatrixSignificance0.setRanking(intArray0);\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // 1\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test\n public void testClaimAttendPhysId() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setAttendPhysId,\n RdaFissClaim::getAttendPhysId,\n RdaFissClaim.Fields.attendPhysId,\n 16);\n }", "@Test(timeout = 4000)\n public void test193() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(0, 1235);\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixSignificance0);\n resultMatrixGnuPlot0.toStringRanking();\n int[] intArray0 = new int[8];\n intArray0[0] = 0;\n intArray0[1] = 1;\n intArray0[2] = 1;\n resultMatrixSignificance0.LOSS_STRING = \"\";\n intArray0[3] = 0;\n intArray0[4] = 1235;\n intArray0[5] = 0;\n intArray0[6] = 2;\n intArray0[7] = 1;\n resultMatrixSignificance0.m_ColOrder = intArray0;\n resultMatrixGnuPlot0.colNameWidthTipText();\n resultMatrixGnuPlot0.getCount(0);\n resultMatrixSignificance0.m_RankingLosses = intArray0;\n resultMatrixGnuPlot0.getSignificance(0, 2);\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n \n resultMatrixGnuPlot0.setStdDevWidth(0);\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(40, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertTrue(resultMatrixGnuPlot0.getEnumerateColNames());\n }", "@Test\n public void testClaimReposHic() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setReposHic,\n RdaFissClaim::getReposHic,\n RdaFissClaim.Fields.reposHic,\n 12);\n }", "public void setFingerprint(String fingerprint) {\n this.fingerprint = fingerprint;\n }", "@Test(timeout = 4000)\n public void test104() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toClassDetailsString(\".arff\");\n assertEquals(Double.NaN, evaluation0.unweightedMicroFmeasure(), 0.01);\n assertEquals(\".arff\\n TP Rate FP Rate Precision Recall F-Measure MCC ROC Area PRC Area Class\\n 0 0 0 0 0 0 ? ? class1\\n 0 0 0 0 0 0 ? ? class2\\nWeighted Avg. NaN NaN NaN NaN NaN NaN NaN NaN \\n\", string0);\n }", "@Test\n public void testClaimAdjReasCd() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setAdjReasCd,\n RdaFissClaim::getAdjReasCd,\n RdaFissClaim.Fields.adjReasCd,\n 2);\n }", "@Test\n public void testClaimAttendPhysMint() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setAttendPhysMint,\n RdaFissClaim::getAttendPhysMint,\n RdaFissClaim.Fields.attendPhysMint,\n 1);\n }", "@Test\n public void fsckMetricsDuplicateReverse() throws Exception {\n storage.addColumn(UID_TABLE, new byte[] {0, 0, 3}, NAME_FAMILY, \n METRICS, \"wtf\".getBytes(MockBase.ASCII()));\n storage.addColumn(UID_TABLE, \"wtf\".getBytes(MockBase.ASCII()), ID_FAMILY, \n METRICS, new byte[] {0, 0, 4});\n storage.addColumn(UID_TABLE, new byte[] { 0 }, ID_FAMILY, METRICS, Bytes.fromLong(4L));\n int errors = (Integer)fsck.invoke(null, client, \n UID_TABLE, false, false);\n assertEquals(2, errors);\n }", "@Test(timeout = 4000)\n public void test181() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[0] = intArray1;\n int[] intArray2 = new int[0];\n intArray0[1] = intArray2;\n int[] intArray3 = new int[0];\n intArray0[2] = intArray3;\n int[] intArray4 = new int[6];\n intArray4[1] = 0;\n intArray4[2] = 2;\n intArray4[3] = 0;\n intArray4[4] = 2;\n intArray4[5] = 0;\n intArray0[3] = intArray4;\n int[] intArray5 = new int[3];\n intArray0[4] = intArray5;\n int[] intArray6 = new int[3];\n intArray6[1] = 1;\n intArray6[2] = 2;\n intArray0[5] = intArray6;\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n resultMatrixCSV0.setEnumerateRowNames(false);\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixCSV0);\n resultMatrixSignificance0.setColHidden(0, false);\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n \n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.getDefaultPrintColNames();\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance(resultMatrixCSV0);\n assertEquals(2, resultMatrixSignificance1.getStdDevPrec());\n assertFalse(resultMatrixSignificance1.getEnumerateRowNames());\n assertEquals(1, resultMatrixCSV0.getRowCount());\n assertEquals(0, resultMatrixSignificance1.getMeanWidth());\n assertEquals(0, resultMatrixSignificance1.getCountWidth());\n assertEquals(1, resultMatrixCSV0.getColCount());\n assertEquals(0, resultMatrixSignificance1.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance1.getStdDevWidth());\n assertEquals(2, resultMatrixSignificance1.getMeanPrec());\n \n resultMatrixLatex0.getDefaultPrintColNames();\n assertEquals(1, resultMatrixLatex0.getColCount());\n }", "public void spearmansRankCorrelation(double cutoff, MWBMatchingAlgorithm mwbm) {\n double p = 0;\n\n SpearmansCorrelation t = new SpearmansCorrelation();\n\n // size has to be the same so we randomly sample the number of the smaller sample from\n // the big sample\n if (this.train.size() > this.test.size()) {\n this.sample(this.train, this.test, this.train_values);\n }\n else if (this.test.size() > this.train.size()) {\n this.sample(this.test, this.train, this.test_values);\n }\n\n // try out possible attribute combinations\n for (int i = 0; i < this.train.numAttributes(); i++) {\n for (int j = 0; j < this.test.numAttributes(); j++) {\n // negative infinity counts as not present, we do this so we don't have to map\n // between attribute indexs in weka\n // and the result of the mwbm computation\n mwbm.setWeight(i, j, Double.NEGATIVE_INFINITY);\n\n // class attributes are not relevant\n if (this.test.classIndex() == j) {\n continue;\n }\n if (this.train.classIndex() == i) {\n continue;\n }\n\n p = t.correlation(this.train_values.get(i), this.test_values.get(j));\n if (p > cutoff) {\n mwbm.setWeight(i, j, p);\n }\n }\n }\n }", "public static void main(String[] args){\n String absolutePath = null;\n try {\n absolutePath = new File(\"./src/main/resources/opencv_contrib/opencv_java420.dll\").getCanonicalPath();\n } catch (IOException e) {\n e.printStackTrace();\n System.exit(-1);\n }\n\n System.load(absolutePath);\n\n FaceRecognitionTests test = new FaceRecognitionTests();\n\n //test.treatAllPhotos();\n //test.train();\n //test.save();\n\n test.load();\n\n System.out.println(\"percentage correct : \" + test.testAll() * 100 + \"%\");\n\n /\n Mat imageTest = Imgcodecs.imread(\"photo\\\\testing\\\\20\\\\20_P04A+000E+00.pgm\", Imgcodecs.IMREAD_GRAYSCALE);\n RecognitionResult testResult = test.recognize(imageTest);\n\n System.out.println(\"suposed result : 20, actual result : \" + testResult.label[0] + \" with confidence : \" + testResult.confidence[0]);\n /\n }", "@Test(timeout = 4000)\n public void test102() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate(\"\");\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0.0, evaluation0.SFEntropyGain(), 0.01);\n assertEquals(2, doubleArray0.length);\n }", "@Test\n public void testClaimClaimId() {\n new ClaimFieldTester()\n .verifyBase64FieldCopiedCorrectly(\n FissClaim.Builder::setRdaClaimKey, RdaFissClaim::getClaimId, \"claimId\", 32);\n }", "@Test\n public void testClaimFedTaxNb() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setFedTaxNb,\n RdaFissClaim::getFedTaxNumber,\n RdaFissClaim.Fields.fedTaxNumber,\n 10);\n }", "@Test\r\n public void testGetPredictedDiseaseAssociationsForMgiGeneId() {\r\n String mgiGeneId = \"MGI:95523\";\r\n\r\n Map<Disease, Set<DiseaseAssociation>> result = instance.getPredictedDiseaseAssociationsForMgiGeneId(mgiGeneId);\r\n \r\n// for (Disease disease : result.keySet()) {\r\n// System.out.println(disease);\r\n// for (DiseaseAssociation diseaseAssociation : result.get(disease)) {\r\n// System.out.println(String.format(\" %s\", diseaseAssociation));\r\n// }\r\n// }\r\n assertTrue(result.keySet().size() > 290);\r\n }", "private double isSimilar(double rightHandSimilarity, double leftHandSimilarity, List<Double> rightFingersSimilarity, List<Double> leftFingersSimilarity, double rightMotionSimilarity, double leftMotionSimilarity, List<List<Double>> touchList) {\n return rightHandSimilarity * leftHandSimilarity;\n }", "@Test\n public void testClaimAttendPhysFname() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setAttendPhysFname,\n RdaFissClaim::getAttendPhysFname,\n RdaFissClaim.Fields.attendPhysFname,\n 18);\n }", "@Test\n public void testClaimNewHic() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setNewHic, RdaFissClaim::getNewHic, RdaFissClaim.Fields.newHic, 12);\n }", "@Test(timeout = 4000)\n public void test046() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(16, 8);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int[] intArray0 = new int[5];\n intArray0[0] = 16;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 16;\n intArray0[4] = 1;\n resultMatrixSignificance0.setColOrder(intArray0);\n assertArrayEquals(new int[] {16, 2, 0, 16, 1}, intArray0);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(5, intArray0.length);\n \n resultMatrixSignificance0.setColNameWidth(3);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.setSignificanceWidth(16);\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n int int0 = resultMatrixSignificance0.getDefaultColNameWidth();\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(3, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0, int0);\n \n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertNotNull(resultMatrixGnuPlot0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.setPrintRowNames(false);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.setStdDevPrec(0);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.m_RowOrder = intArray0;\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n \n resultMatrixGnuPlot0.setPrintColNames(true);\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixGnuPlot0.clearSummary();\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n \n resultMatrixSignificance0.m_ColNameWidth = 8;\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertEquals(8, resultMatrixSignificance0.getColNameWidth());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(8, resultMatrixSignificance0.getVisibleRowCount());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(8, resultMatrixSignificance0.getRowCount());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(16, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(16, resultMatrixSignificance0.getColCount());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertEquals(16, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n \n resultMatrixGnuPlot0.LEFT_PARENTHESES = \"weka/core/version.txt\";\n assertFalse(resultMatrixGnuPlot0.getDefaultShowAverage());\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateRowNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultCountWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixGnuPlot0.meanWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultShowStdDev());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixGnuPlot0.meanPrecTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixGnuPlot0.printRowNamesTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintRowNames());\n assertEquals(\"Generates output for a data and script file for GnuPlot.\", resultMatrixGnuPlot0.globalInfo());\n assertEquals(\"GNUPlot\", resultMatrixGnuPlot0.getDisplayName());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixGnuPlot0.showStdDevTipText());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertFalse(resultMatrixGnuPlot0.getShowAverage());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultStdDevPrec());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixGnuPlot0.showAverageTipText());\n assertEquals(1, resultMatrixGnuPlot0.getColCount());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleRowCount());\n assertFalse(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixGnuPlot0.stdDevWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getPrintColNames());\n assertFalse(resultMatrixGnuPlot0.getRemoveFilterName());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultMeanWidth());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixGnuPlot0.stdDevPrecTipText());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultColNameWidth());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixGnuPlot0.colNameWidthTipText());\n assertEquals(1, resultMatrixGnuPlot0.getVisibleColCount());\n assertEquals(0, resultMatrixGnuPlot0.getDefaultStdDevWidth());\n assertEquals(50, resultMatrixGnuPlot0.getRowNameWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixGnuPlot0.countWidthTipText());\n assertTrue(resultMatrixGnuPlot0.getDefaultPrintColNames());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixGnuPlot0.rowNameWidthTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateColNames());\n assertFalse(resultMatrixGnuPlot0.getShowStdDev());\n assertEquals(2, resultMatrixGnuPlot0.getDefaultMeanPrec());\n assertEquals(50, resultMatrixGnuPlot0.getDefaultRowNameWidth());\n assertEquals(50, resultMatrixGnuPlot0.getColNameWidth());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixGnuPlot0.significanceWidthTipText());\n assertEquals(0, resultMatrixGnuPlot0.getCountWidth());\n assertTrue(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixGnuPlot0.enumerateColNamesTipText());\n assertFalse(resultMatrixGnuPlot0.getDefaultEnumerateRowNames());\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixGnuPlot0.printColNamesTipText());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevPrec());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixGnuPlot0.removeFilterNameTipText());\n assertEquals(0, resultMatrixGnuPlot0.getSignificanceWidth());\n \n // Undeclared exception!\n try { \n resultMatrixGnuPlot0.toStringMatrix();\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n }\n }", "@Test(timeout = 4000)\n public void test031() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(resultMatrixSignificance0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n String string0 = resultMatrixSignificance0.getRowName((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNull(string0);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n \n resultMatrixSignificance0.m_StdDev = null;\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n \n String string1 = resultMatrixSignificance0.getDisplayName();\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertNotNull(string1);\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(\"Significance only\", string1);\n \n double double0 = resultMatrixSignificance0.getAverage((-1040));\n assertEquals(\"Whether to enumerate the row names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateRowNamesTipText());\n assertEquals(40, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultStdDevPrec());\n assertFalse(resultMatrixSignificance0.getDefaultShowAverage());\n assertEquals(\"The number of decimals after the decimal point for the mean.\", resultMatrixSignificance0.meanPrecTipText());\n assertEquals(\"The maximum width for the row names (0 = optimal).\", resultMatrixSignificance0.rowNameWidthTipText());\n assertEquals(\"Whether to output row names or just numbers representing them.\", resultMatrixSignificance0.printRowNamesTipText());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getVisibleRowCount());\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n assertEquals(1, resultMatrixSignificance0.getColCount());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertEquals(2, resultMatrixSignificance0.getDefaultMeanPrec());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getDefaultMeanWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultColNameWidth());\n assertEquals(\"Whether to display the standard deviation column.\", resultMatrixSignificance0.showStdDevTipText());\n assertFalse(resultMatrixSignificance0.getDefaultEnumerateRowNames());\n assertFalse(resultMatrixSignificance0.getDefaultRemoveFilterName());\n assertEquals(0, resultMatrixSignificance0.getDefaultStdDevWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultSignificanceWidth());\n assertEquals(\"The width of the counts (0 = optimal).\", resultMatrixSignificance0.countWidthTipText());\n assertTrue(resultMatrixSignificance0.getDefaultEnumerateColNames());\n assertEquals(\"The width of the significance indicator (0 = optimal).\", resultMatrixSignificance0.significanceWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n assertEquals(\"Significance only\", resultMatrixSignificance0.getDisplayName());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(\"The number of decimals after the decimal point for the standard deviation.\", resultMatrixSignificance0.stdDevPrecTipText());\n assertFalse(resultMatrixSignificance0.getShowStdDev());\n assertEquals(\"Whether to output column names or just numbers representing them.\", resultMatrixSignificance0.printColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultShowStdDev());\n assertEquals(\"The width of the standard deviation (0 = optimal).\", resultMatrixSignificance0.stdDevWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertTrue(resultMatrixSignificance0.getDefaultPrintRowNames());\n assertFalse(resultMatrixSignificance0.getRemoveFilterName());\n assertEquals(\"The width of the mean (0 = optimal).\", resultMatrixSignificance0.meanWidthTipText());\n assertEquals(\"Whether to remove the classname package prefixes from the filter names in datasets.\", resultMatrixSignificance0.removeFilterNameTipText());\n assertFalse(resultMatrixSignificance0.getPrintColNames());\n assertEquals(\"Whether to enumerate the column names (prefixing them with '(x)', with 'x' being the index).\", resultMatrixSignificance0.enumerateColNamesTipText());\n assertFalse(resultMatrixSignificance0.getDefaultPrintColNames());\n assertEquals(\"Only outputs the significance indicators. Can be used for spotting patterns.\", resultMatrixSignificance0.globalInfo());\n assertFalse(resultMatrixSignificance0.getEnumerateRowNames());\n assertEquals(\"The maximum width of the column names (0 = optimal).\", resultMatrixSignificance0.colNameWidthTipText());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(\"Whether to show the row with averages.\", resultMatrixSignificance0.showAverageTipText());\n assertEquals(40, resultMatrixSignificance0.getDefaultRowNameWidth());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, resultMatrixSignificance0.getColNameWidth());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertFalse(resultMatrixSignificance0.getShowAverage());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(2, ResultMatrix.SIGNIFICANCE_LOSS);\n assertEquals(1, ResultMatrix.SIGNIFICANCE_WIN);\n assertEquals(0, ResultMatrix.SIGNIFICANCE_TIE);\n assertEquals(0.0, double0, 0.01);\n \n ResultMatrixPlainText resultMatrixPlainText0 = null;\n try {\n resultMatrixPlainText0 = new ResultMatrixPlainText(resultMatrixSignificance0);\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.experiment.ResultMatrix\", e);\n }\n }", "@Test(timeout = 4000)\n public void test115() throws Throwable {\n TestInstances testInstances0 = new TestInstances();\n Instances instances0 = testInstances0.generate((String) null);\n Evaluation evaluation0 = new Evaluation(instances0);\n String string0 = evaluation0.toMatrixString();\n assertEquals(\"=== Confusion Matrix ===\\n\\n a b <-- classified as\\n 0 0 \| a = class1\\n 0 0 \| b = class2\\n\", string0);\n }", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test(timeout = 4000)\n public void test26() throws Throwable {\n Discretize discretize0 = new Discretize();\n assertFalse(discretize0.getMakeBinary());\n \n discretize0.m_UseEqualFrequency = true;\n discretize0.getOptions();\n assertTrue(discretize0.getMakeBinary());\n \n // Undeclared exception!\n try { \n discretize0.calculateCutPointsByEqualFrequencyBinning((-821));\n fail(\"Expecting exception: NullPointerException\");\n \n } catch(NullPointerException e) {\n //\n // no message in exception (getMessage() returned null)\n //\n verifyException(\"weka.core.Instances\", e);\n }\n }", "@LargeTest\n public void testIntrinsicsColorMatrixGrey() {\n TestAction ta = new TestAction(TestName.INTRINSICS_COLOR_MATRIX_GREY);\n runTest(ta, TestName.INTRINSICS_COLOR_MATRIX_GREY.name());\n }", "@Test\n\tpublic void testGetCounts() {\n\t\tString cellBC = \"ATCAGGGACAGA\";\n\n\t\tint snpPos = 76227022;\n\t\tInterval snpInterval = new Interval(\"HUMAN_1\", snpPos, snpPos, true, \"test\");\n\t\tSampleGenotypeProbabilities result = new SampleGenotypeProbabilities(snpInterval, cellBC);\n\t\tSNPUMIBasePileup p = getPileUpFromFile(cellBC, \"CGGGGCTC\");\n\t\tp.addLocusFunction(LocusFunction.CODING);\n\t\tresult.add(p);\n\t\tresult.add(getPileUpFromFile(cellBC, \"CGCGGGAC\")); // this read doesn't overlap the SNP so it isn't added!\n\t\tresult.add(getPileUpFromFile(cellBC, \"CTGGGCTC\"));\n\t\tresult.add(getPileUpFromFile(cellBC, \"GGAATGTG\"));\n\t\tresult.add(getPileUpFromFile(cellBC, \"GTGCCGTG\"));\n\t\tresult.add(getPileUpFromFile(cellBC, \"TCGCAGAC\"));\n\n\t\t// the code coverage gods are pleased.\n\t\tAssert.assertEquals(result.getCell(), cellBC);\n\t\tAssert.assertEquals(result.getSNPInterval(), snpInterval);\n\n\t\tAssert.assertNotNull(result.toString());\n\n\t\t// get the unfiltered results.\n\t\tObjectCounter<Character> umiCounts = result.getUMIBaseCounts();\n\t\tObjectCounter<Character> umiCountsExpected = new ObjectCounter<>();\n\t\tumiCountsExpected.incrementByCount('A', 2);\n\t\tumiCountsExpected.incrementByCount('G', 3);\n\t\tAssert.assertEquals(umiCounts, umiCountsExpected);\n\n\t\tObjectCounter<Character> readCounts = result.getReadBaseCounts();\n\t\tObjectCounter<Character> readCountsExpected = new ObjectCounter<>();\n\t\treadCountsExpected.incrementByCount('A', 2);\n\t\treadCountsExpected.incrementByCount('G', 5);\n\t\tAssert.assertEquals(readCounts, readCountsExpected);\n\n\t\tSet<LocusFunction> expected = new HashSet<>(Arrays.asList(LocusFunction.CODING));\n\t\tAssert.assertEquals(result.getLocusFunctions(), expected);\n\n\t}", "@Test\r\n public void testMergeSpectra() throws Exception {\n }", "@Test(timeout = 4000)\n public void test167() throws Throwable {\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex();\n resultMatrixLatex0.showStdDevTipText();\n resultMatrixLatex0.getRevision();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixLatex0);\n resultMatrixGnuPlot0.RIGHT_PARENTHESES = \")\";\n resultMatrixGnuPlot0.getDefaultRowNameWidth();\n int[] intArray0 = new int[7];\n intArray0[0] = 2;\n intArray0[1] = 2;\n intArray0[2] = 0;\n intArray0[3] = 1;\n intArray0[4] = 0;\n intArray0[5] = 1;\n intArray0[6] = 2;\n resultMatrixLatex0.m_ColOrder = intArray0;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(resultMatrixGnuPlot0);\n int[] intArray1 = new int[6];\n intArray1[0] = 0;\n intArray1[1] = 50;\n intArray1[2] = 50;\n intArray1[3] = 50;\n intArray1[4] = 2;\n intArray1[5] = 0;\n resultMatrixSignificance0.m_RankingLosses = intArray1;\n resultMatrixSignificance0.getDisplayName();\n assertEquals(0, resultMatrixSignificance0.getRowNameWidth());\n assertEquals(0, resultMatrixSignificance0.getCountWidth());\n assertTrue(resultMatrixSignificance0.getEnumerateColNames());\n assertEquals(0, resultMatrixSignificance0.getSignificanceWidth());\n assertEquals(2, resultMatrixSignificance0.getStdDevPrec());\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(0, resultMatrixSignificance0.getMeanWidth());\n assertTrue(resultMatrixSignificance0.getPrintRowNames());\n assertEquals(0, resultMatrixSignificance0.getStdDevWidth());\n \n String string0 = resultMatrixLatex0.getSummaryTitle(0);\n assertFalse(resultMatrixLatex0.getDefaultEnumerateRowNames());\n assertEquals(0, resultMatrixLatex0.getDefaultColNameWidth());\n assertEquals(\"a\", string0);\n assertEquals(1, resultMatrixLatex0.getVisibleColCount());\n }", "public abstract double test(ClassifierData<U> testData);", "@Test public void calcROItest() {\n DirectMC h = new DirectMC(\"AdMailing\", 10000.00, 3.00, 2000);\n Assert.assertEquals(.4286, h.calcROI(), 1);\n }", "@Test(timeout = 4000)\n public void test169() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance(0, 0);\n int[] intArray0 = new int[3];\n intArray0[1] = 0;\n intArray0[2] = 0;\n resultMatrixSignificance0.setColOrder(intArray0);\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getAverage(1785);\n ResultMatrixSignificance resultMatrixSignificance1 = new ResultMatrixSignificance();\n // Undeclared exception!\n try { \n resultMatrixSignificance0.getHeader(\" \");\n fail(\"Expecting exception: ArrayIndexOutOfBoundsException\");\n \n } catch(ArrayIndexOutOfBoundsException e) {\n //\n // -1\n //\n verifyException(\"java.util.Vector\", e);\n }\n }", "@Test(timeout = 4000)\n public void test168() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n int[] intArray0 = new int[1];\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n String[] stringArray0 = new String[4];\n stringArray0[0] = \"v\";\n stringArray0[1] = \"[\";\n stringArray0[2] = \"*\";\n double[] doubleArray0 = new double[7];\n doubleArray0[0] = (double) 0;\n doubleArray0[1] = (double) 2;\n doubleArray0[2] = (double) 0;\n doubleArray0[3] = (double) 1;\n doubleArray0[4] = (double) 2;\n doubleArray0[5] = (double) 0;\n ResultMatrixPlainText resultMatrixPlainText0 = new ResultMatrixPlainText();\n ResultMatrixLatex resultMatrixLatex0 = new ResultMatrixLatex(resultMatrixPlainText0);\n assertEquals(2, resultMatrixLatex0.getStdDevPrec());\n assertEquals(2, resultMatrixLatex0.getMeanPrec());\n assertEquals(0, resultMatrixLatex0.getMeanWidth());\n assertTrue(resultMatrixLatex0.getPrintColNames());\n assertEquals(25, resultMatrixLatex0.getRowNameWidth());\n assertFalse(resultMatrixLatex0.getEnumerateRowNames());\n assertEquals(5, resultMatrixLatex0.getCountWidth());\n assertEquals(0, resultMatrixLatex0.getSignificanceWidth());\n \n String string0 = resultMatrixPlainText0.getSummaryTitle(216);\n assertEquals(\"i\", string0);\n \n int[][] intArray1 = new int[8][0];\n intArray1[0] = intArray0;\n intArray1[1] = intArray0;\n intArray1[2] = intArray0;\n intArray1[3] = intArray0;\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.toStringRanking();\n resultMatrixPlainText0.getDefaultRemoveFilterName();\n assertTrue(resultMatrixPlainText0.getEnumerateColNames());\n assertEquals(1, resultMatrixPlainText0.getRowCount());\n assertEquals(1, resultMatrixPlainText0.getVisibleColCount());\n }", "@Test(timeout = 4000)\n public void test103() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double[][] doubleArray0 = evaluation0.confusionMatrix();\n assertEquals(0, doubleArray0.length);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "void mo60904b(AvatarImageWithVerify avatarImageWithVerify);", "@Test\n public void testClaimNpiNumber() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setNpiNumber,\n RdaFissClaim::getNpiNumber,\n RdaFissClaim.Fields.npiNumber,\n 10);\n }", "private static List<String[]> fingerprint(int[][] image, int jitter) {\n\n return fingerprint_simple(\"\", image, jitter);\n }", "@Test(timeout = 4000)\n public void test179() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(resultMatrixCSV0);\n resultMatrixCSV0.clearRanking();\n boolean boolean0 = resultMatrixCSV0.getShowStdDev();\n assertFalse(boolean0);\n \n resultMatrixCSV1.setEnumerateRowNames(false);\n assertEquals(0, resultMatrixCSV1.getSignificanceWidth());\n assertEquals(2, resultMatrixCSV1.getMeanPrec());\n assertTrue(resultMatrixCSV1.getPrintRowNames());\n assertEquals(25, resultMatrixCSV1.getRowNameWidth());\n assertTrue(resultMatrixCSV1.getEnumerateColNames());\n assertEquals(0, resultMatrixCSV1.getCountWidth());\n assertEquals(0, resultMatrixCSV1.getStdDevWidth());\n assertEquals(0, resultMatrixCSV1.getMeanWidth());\n assertFalse(resultMatrixCSV1.getEnumerateRowNames());\n assertEquals(2, resultMatrixCSV1.getStdDevPrec());\n \n resultMatrixCSV0.getColOrder();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n resultMatrixGnuPlot0.setSignificance(1913, 844, 844);\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n }", "@Test\n public void testClaimXrefDcnNbr() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setXrefDcnNbr,\n RdaFissClaim::getXrefDcnNbr,\n RdaFissClaim.Fields.xrefDcnNbr,\n 23);\n }", "@Test\n public void test_IsOxideCorr() {\n System.out.println(\"Testing MeasuredRatioModel's isOxideCorr()\");\n MeasuredRatioModel instance = new MeasuredRatioModel();\n boolean expResult = false;\n boolean result = instance.isOxideCorr();\n assertEquals(expResult, result);\n instance = new MeasuredRatioModel(\"Specific\",new BigDecimal(\"213\"),\"ABS\",new BigDecimal(\"0.4324\"),true,true);\n result = instance.isOxideCorr();\n expResult=true;\n assertEquals(expResult, result);\n }", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testClaimCancelXrefDcn() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setCancelXrefDcn,\n RdaFissClaim::getCancelXrefDcn,\n RdaFissClaim.Fields.cancelXrefDcn,\n 23);\n }", "@Test(timeout = 4000)\n public void test161() throws Throwable {\n ResultMatrixCSV resultMatrixCSV0 = new ResultMatrixCSV();\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n resultMatrixCSV0.m_PrintColNames = true;\n ResultMatrixCSV resultMatrixCSV1 = new ResultMatrixCSV(resultMatrixGnuPlot0);\n resultMatrixCSV1.getShowStdDev();\n resultMatrixCSV1.setEnumerateRowNames(false);\n resultMatrixCSV1.getColOrder();\n ResultMatrixGnuPlot resultMatrixGnuPlot1 = new ResultMatrixGnuPlot(resultMatrixCSV0);\n String string0 = resultMatrixGnuPlot0.getSummaryTitle(39);\n assertEquals(\"n\", string0);\n \n resultMatrixGnuPlot1.getDefaultEnumerateColNames();\n resultMatrixGnuPlot0.getRemoveFilterName();\n assertEquals(2, resultMatrixGnuPlot0.getMeanPrec());\n assertEquals(25, resultMatrixGnuPlot0.getRowNameWidth());\n assertTrue(resultMatrixGnuPlot0.getPrintRowNames());\n assertEquals(0, resultMatrixGnuPlot0.getMeanWidth());\n assertEquals(0, resultMatrixGnuPlot0.getStdDevWidth());\n assertFalse(resultMatrixGnuPlot0.getEnumerateRowNames());\n assertEquals(1, resultMatrixGnuPlot0.getRowCount());\n assertEquals(2, resultMatrixGnuPlot0.getStdDevPrec());\n }", "public boolean reproducirse() {\n r = new Random();\r\n return Float.compare(r.nextFloat(), probReproducirse) <= 0;\r\n }" ]	[ "0.74735767", "0.69278467", "0.6718206", "0.5578056", "0.5481915", "0.53663456", "0.53389513", "0.531954", "0.5292233", "0.52606535", "0.5227066", "0.51581687", "0.51245296", "0.51162577", "0.51160717", "0.51006866", "0.5081456", "0.50624454", "0.5023178", "0.49970546", "0.4910491", "0.48873594", "0.48545846", "0.48509553", "0.4846139", "0.48436478", "0.4837713", "0.48365524", "0.48275366", "0.48202667", "0.48200804", "0.48109868", "0.47953296", "0.4791989", "0.47800502", "0.47686148", "0.47682366", "0.47661647", "0.47367114", "0.47303906", "0.47294158", "0.47189823", "0.46999794", "0.46954405", "0.4692324", "0.46918514", "0.46908525", "0.46899295", "0.4686", "0.467405", "0.4666877", "0.46574846", "0.46549338", "0.4641453", "0.4635573", "0.46353582", "0.46326447", "0.46294868", "0.4619433", "0.4616532", "0.46161118", "0.46160007", "0.46146524", "0.46079743", "0.4603936", "0.46007484", "0.46005425", "0.4598306", "0.45904526", "0.45874164", "0.4580489", "0.45801106", "0.45788103", "0.45762315", "0.45694572", "0.45652997", "0.4558579", "0.45562482", "0.45558664", "0.4548146", "0.45423955", "0.45387512", "0.45202577", "0.4515738", "0.45087144", "0.45077008", "0.4502302", "0.45001483", "0.44943964", "0.44939834", "0.4491095", "0.44897693", "0.44886687", "0.4486213", "0.44850874", "0.44843948", "0.44842547", "0.44761077", "0.44721395", "0.44718558" ]	0.8647576	0
Test of fingerprintPerturbation method, of class MarkovModelUtilities.	@Test public void testFingerprintPerturbation() { IDoubleArray M = null; IDoubleArray p0 = null; IDoubleArray observable = null; MarkovModelUtilities instance = new MarkovModelUtilities(); IDoubleArray expResult = null; IDoubleArray result = instance.fingerprintPerturbation(M, p0, observable); assertEquals(expResult, result); // TODO review the generated test code and remove the default call to fail. fail("The test case is a prototype."); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Test\n public void testFingerprintCorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable1 = null;\n IDoubleArray observable2 = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintCorrelation(M, observable1, observable2);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testFingerprintAutocorrelation()\n {\n IDoubleArray M = null;\n IDoubleArray observable = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.fingerprintAutocorrelation(M, observable);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testPerturbationExpectation()\n {\n IDoubleArray M = null;\n IDoubleArray pi0 = null;\n IDoubleArray observable = null;\n IDoubleArray timepoints = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.perturbationExpectation(M, pi0, observable, timepoints);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public void setFingerprint(String fingerprint) {\n this.fingerprint = fingerprint;\n }", "public void testStep() {\n\n DT_TractographyImage crossing = Images.getCrossing();\n\n FACT_FibreTracker tracker = new FACT_FibreTracker(crossing);\n\n Vector3D[] pds = crossing.getPDs(1,1,1);\n\n Vector3D step = tracker.getFirstStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), 0, true);\n\n assertEquals(1.0, pds[0].dot(step.normalized()), 1E-8);\n\n assertEquals(Images.xVoxelDim / 2.0, step.mod(), 0.05);\n \n step = tracker.getFirstStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), 0, false);\n\n assertEquals(-1.0, pds[0].dot(step.normalized()), 1E-8);\n\n step = tracker.getFirstStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), 1, true);\n\n assertEquals(1.0, pds[1].dot(step.normalized()), 1E-8);\n\n\n for (int i = 0; i < 2; i++) {\n\n step = tracker.getNextStep(new Point3D(1.5 * Images.xVoxelDim, 1.2 * Images.yVoxelDim, 1.1 * Images.zVoxelDim), new Vector3D(pds[i].x + 0.01, pds[i].y + 0.02, pds[i].z + 0.03).normalized());\n\n assertEquals(1.0, pds[i].dot(step.normalized()), 1E-8);\n\n }\n\n \n }", "public void testTouchpointData() {\n \t\tString IDF1 = \"iu.fragment.1\";\n \t\tIInstallableUnit iu1 = createIUWithTouchpointData();\n \t\tIInstallableUnit iuf1 = createBundleFragment(IDF1);\n \t\tString ID1 = iu1.getId();\n \n \t\tassertEquals(\"Number of touchpoint instructions of IU \" + ID1, 1, iu1.getTouchpointData().size());\n \t\tassertEquals(\"Number of touchpoint instructions of IU \" + IDF1, 1, iuf1.getTouchpointData().size());\n \n \t\tProfileChangeRequest req = new ProfileChangeRequest(createProfile(getName()));\n \t\treq.addInstallableUnits(iu1, iuf1);\n \t\tcreateTestMetdataRepository(new IInstallableUnit[] {iu1, iuf1});\n \t\tIQueryable<IInstallableUnit> additions = createPlanner().getProvisioningPlan(req, null, null).getAdditions();\n \t\t{\n \t\t\tIterator<IInstallableUnit> iterator = additions.query(QueryUtil.createIUQuery(ID1), null).iterator();\n \t\t\tassertTrue(\"Solution contains IU \" + ID1, iterator.hasNext());\n \t\t\tIInstallableUnit iu = iterator.next();\n \t\t\tassertEquals(\"Number of attached fragments to IU \" + ID1, 1, iu.getFragments().size());\n \t\t\tassertEquals(\"Attached fragment to IU \" + ID1, IDF1, iu.getFragments().iterator().next().getId());\n \t\t\tassertEquals(\"Number of touchpoint instructions of IU \" + ID1, 2, iu.getTouchpointData().size());\n \t\t}\n \t\t{\n \t\t\tIterator<IInstallableUnit> iterator = additions.query(QueryUtil.createIUQuery(IDF1), null).iterator();\n \t\t\tassertTrue(\"Solution contains IU \" + IDF1, iterator.hasNext());\n \t\t\tIInstallableUnit iu = iterator.next();\n \t\t\tassertEquals(\"Number of attached fragments to IU \" + IDF1, 0, iu.getFragments().size());\n \t\t}\n \t}", "@Test\n public void testMetastableMemberships()\n {\n IDoubleArray M = null;\n int nstates = 0;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.metastableMemberships(M, nstates);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "void onFingerprintEntered();", "@Test\n public void testEstimateT()\n {\n \n IDoubleArray counts = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.estimateT(counts);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "public Fingerprint[] fingerprints();", "public void fuzzify() {\n ImageArray newCopy = currentIm.copy();\n \n int rows= currentIm.getRows();\n int cols= currentIm.getCols();\n \n for(int rr = 1; rr < rows-1; rr++){\n \n for(int cc = 1; cc < cols-1; cc++){\n fuzPixel(rr,cc,newCopy);\n \n }\n \n }\n \n currentIm = newCopy.copy();\n \n \n }", "public void identificarPersona() {\n try {\n //Obtiene todas las huellas de la bd\n ResultSet rsIdentificar = identificarhue.executeQuery();\n \n //Si se encuentra la huella en la base de datos\n while(rsIdentificar.next()){\n //Lee la plantilla de la base de datos\n byte templateBuffer[] = rsIdentificar.getBytes(\"huellap\");\n //Crea una nueva plantilla\n Template referenceTemplate = new Template(templateBuffer);\n \n //compara las plantilas (actual vs bd)\n boolean coinciden = fingerprintSDK.verify(template,referenceTemplate);\n \n //Si encuentra coincidencia entonces envia true y si no entonces envia false\n if (coinciden){ \n objpantprincipal.coincidehuella(true);\n return;\n }\n else{\n objpantprincipal.coincidehuella(false);\n }\n } \n \n } catch (SQLException e) { \n initDB();\n identificarPersona();\n } catch (GrFingerJavaException e) {\n Toolkit.getDefaultToolkit().beep();\n JOptionPane.showMessageDialog(null, e.getMessage());\n }\n }", "public float testAll(){\n List<Long> allIdsToTest = new ArrayList<>();\n allIdsToTest = idsToTest;\n //allIdsToTest.add(Long.valueOf(11));\n //allIdsToTest.add(Long.valueOf(12));\n //allIdsToTest.add(Long.valueOf(13));\n\n float totalTested = 0;\n float totalCorrect = 0;\n float totalUnrecognized = 0;\n\n for(Long currentID : allIdsToTest) {\n String pathToPhoto = \"photo\\\\testing\\\\\" + currentID.toString();\n File currentPhotosFile = new File(pathToPhoto);\n\n if(currentPhotosFile.exists() && currentPhotosFile.isDirectory()) {\n\n File[] listFiles = currentPhotosFile.listFiles();\n\n for(File file : listFiles){\n if (!file.getName().endsWith(\".pgm\")) { //search how to convert all image to .pgm\n throw new IllegalArgumentException(\"The file of the student \" + currentID + \" contains other files than '.pgm'.\");\n }\n else{\n Mat photoToTest = Imgcodecs.imread(pathToPhoto + \"\\\\\" + file.getName(), Imgcodecs.IMREAD_GRAYSCALE);\n try {\n RecognitionResult testResult = recognize(photoToTest);\n\n if(testResult.label[0] == currentID){\n totalCorrect++;\n }\n }\n catch (IllegalArgumentException e){\n System.out.println(\"One face unrecognized!\");\n totalUnrecognized++;\n }\n\n totalTested++;\n }\n }\n }\n }\n\n System.out.println(totalUnrecognized + \" face unrecognized!\");\n\n System.out.println(totalCorrect + \" face correct!\");\n System.out.println(totalTested + \" face tested!\");\n\n float percentCorrect = totalCorrect / totalTested;\n return percentCorrect;\n }", "private void handleVerify(boolean isDoubleVerify) {\n if (listVerifyResult.isEmpty()) {\n return;\n }\n\n // Extract zip file input\n String folderSaveResult = helper.getFolderSave(\"Choose extract folder zip files\");\n if (folderSaveResult.isEmpty() \|\| folderSaveResult == null) {\n return;\n }\n\n boolean usingInputKey = this.gui.getCheckboxVerify().isSelected();\n\n for (ModelResult modelResult : listVerifyResult) {\n int id = modelResult.getId();\n long startVerify = System.nanoTime();\n updateVerifyFileStatus(\"Unzip file...\", 0, id);\n String fileNameNoEx = helper.getFileNameNoExtension(modelResult.getFileName());\n // Unzip file\n String unzipedFolder = folderSaveResult + \"\\\\\" + fileNameNoEx;\n modelResult.setFolderRS(unzipedFolder);\n boolean unzipRs = helper.unZip(modelResult.getFilePath(), unzipedFolder);\n\n if (unzipRs) {\n updateVerifyFileStatus(\"Unzip file successfully\", 0, id);\n } else {\n updateVerifyFileStatus(\"Unzip file failed\", 0, id);\n return;\n }\n\n // Read Input Files from unzip folder\n ModelInputVerify miv = helper.readInputVerify(unzipedFolder);\n if (miv == null \|\| miv.getPublickey().isEmpty() && usingInputKey) {\n updateVerifyFileStatus(\"Public key from input not found\", 0, id);\n return;\n }\n\n ModelFriendKey mFriendKey = null;\n if (usingInputKey) {\n mFriendKey = new ModelFriendKey(\"\", miv.getPublickey(), \"\");\n mFriendKey.setAlgorithm(miv.getPublickeyAlgorithm());\n } else {\n String frKeyNameSelected = String.valueOf(gui.getCbbFriendKeyVerify().getSelectedItem());\n mFriendKey = friendKey.get(frKeyNameSelected);\n\n if (mFriendKey == null) {\n updateVerifyFileStatus(\"Friend key not found\", 0, id);\n return;\n }\n\n }\n\n String hash = miv.getSignatureHashAlgorithm();\n String cryptoAlgorithm = mFriendKey.getAlgorithm();\n String algorithm = hash + \"with\" + cryptoAlgorithm;\n\n if (hash.equals(\"SHA512\") && cryptoAlgorithm.equals(\"DSA\")) {\n updateVerifyFileStatus(cryptoAlgorithm + \" is Not support \" + hash + \" algorithm\", 0, id);\n return;\n }\n\n boolean verifyRs = false;\n\n if (!isDoubleVerify) {\n verifyRs = Verify(miv.getFilePath(), miv.getSignature(), mFriendKey, algorithm);\n } else {\n verifyRs = VerifyDoubleSign(miv.getFilePath(), miv.getSignature(), mFriendKey, algorithm);\n }\n\n long endTime = System.nanoTime();\n long duration = (endTime - startVerify) / 1000000; //divide by 1000000 to get milliseconds.\n if (verifyRs) {\n updateVerifyFileStatus(\"File Valid\", (int) duration, id);\n } else {\n updateVerifyFileStatus(\"File Invalid\", (int) duration, id);\n }\n }\n }", "private static List<String[]> fingerprint(int[][] image, int jitter) {\n\n return fingerprint_simple(\"\", image, jitter);\n }", "public static void testTrackBreakdown(){\n\t\tImageJ imj = new ImageJ(ImageJ.NO_SHOW);\n\t\t\n//\t\tExperiment_Processor ep;\n\t\t\n//\t\tProcessingParameters prParam = new ProcessingParameters();\n//\t\tprParam.diagnosticIm = false;\n\t\t\n\t\t//Set src and dest\n\t\tString srcName = \"E:\\\\testing\\\\Java Backbone Fitting\\\\Fitting Params\\\\fullExptWithAreaSplit_0.7-1.4_otherPtSplit\\\\divergedTrackExp.prejav\";\n\t\tString dstBaseDir = \"E:\\\\testing\\\\Java Backbone Fitting\\\\Track Breakdown\\\\\";\n\t\t\n\t\tExperiment ex = new Experiment(srcName);\n\t\t//Find a long track\n\t\t\n//\t\tint len = 16726;\n\t\t//Find a track that's the length of the experiment\n//\t\tSystem.out.println(\"Finding full-experiment track in \"+ex.tracks.size()+\" tracks...\");\n\t\tTrack longTrack = null;\n//\t\tint i;\n//\t\tfor (i=0; (i<ex.tracks.size() && longTrack==null); i++){\n//\t\t\tif (ex.getTrackFromInd(i).points.size()==len) longTrack=ex.getTrackFromInd(i);\n//\t\t}\n//\t\tSystem.out.println(\"Found track (ind=\"+i+\")\");\n\t\t\n\t\t\n\t\tVector<Track> fits = new Vector<Track>();\n\t\tVector<Track> divs = new Vector<Track>();\n\t\tBackboneFitter bbf;\n\t\tfor (int j=0; j<ex.tracks.size(); j++){\n\t\t\t\n\t\t\tlongTrack = ex.tracks.get(j);\n\t\t\tint len = longTrack.points.size();\n\t\t\tint clipLen = 500;\n\t\t\tif (len>(clipLen3)){\n\t\t\t\tVector<Track> fitTracks = new Vector<Track>();\n\t\t\t\tVector<Track> divTracks = new Vector<Track>();\n\t\t\t\t\n\t\t\t\tSystem.out.println(\"Clipping and Fitting track...\");\n\t\t\t\tfor (int i=0; i<=len/clipLen; i++){\n\t\t\t\t\n\t\t\t\t\tbbf = new BackboneFitter();\n\t\t//\t\t\tbbf.clipEnds = true;\n\t\t\t\t\tint sf = 1+iclipLen;\n\t\t\t\t\tint ef = (len<((i+1)clipLen))? len-1: (i+1)clipLen;\n\t\t\t\t\t\n\t\t\t\t\tTrack clipTrack = new Track(longTrack.getPoints().subList(sf, ef), i);\n\t\t\t\t\t\t\n\t\t\t\t\t///method no longer exists\n\t\t\t\t\t//bbf.fitTrack(clipTrack);\n\t\t\t\t\t///\n\t\t\t\t\t\n\t\t\t\t\tif (bbf.getTrack()!=null){\n\t\t\t\t\t\tfitTracks.add(bbf.getTrack());\t\t\t\t\n\t\t\t\t\t} else {\n\t\t\t\t\t\tdivTracks.add(clipTrack);\n\t\t\t\t\t}\n\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\tfits.addAll(fitTracks);\n\t\t\t\tdivs.addAll(divTracks);\n\t\t\t\t\n\t\t\t\tSystem.out.println(\"...Done fitting: \"+fitTracks.size()+\"/\"+(fitTracks.size()+divTracks.size()+\" were fit properly\"));\n\t\t\t\t\n\t\t\t\tExperiment fitEx = new Experiment();\n\t\t\t\tfitEx.tracks = fitTracks;\n\t\t\t\tExperiment divEx = new Experiment();\n\t\t\t\tdivEx.tracks = divTracks;\n\t\t\t\t\n\t\t\t\ttry {\n\t\t\t\t\tFile f = new File(dstBaseDir+\"tracks\\\\track\"+j+\"\\\\\");\n\t\t\t\t\tif (!f.exists()) f.mkdirs();\n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\tf = new File(dstBaseDir+\"tracks\\\\track\"+j+\"\\\\\"+\"fitTrackExp.jav\");\n\t\t\t\t\tSystem.out.println(\"Saving fit track experiment to \"+f.getPath());\n\t\t\t\t\ttry{\n\t\t\t\t\t\tDataOutputStream dos = new DataOutputStream(new BufferedOutputStream(new FileOutputStream(f))); \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\tfitEx.toDisk(dos, null);\n\t\t\t\t\t\tdos.close();\n\t\t\t\t\t\tSystem.out.println(\"Done saving fit tracks\");\n\t\t\t\t\t} catch(Exception e){\n\t\t\t\t\t\tSystem.out.println(\"Save error\");\n\t\t\t\t\t}\n\t\t\t\t\t\n\t\t\t\t\tf = new File(dstBaseDir+\"tracks\\\\track\"+j+\"\\\\\"+\"divergedTrackExp.prejav\");\n\t\t\t\t\tSystem.out.println(\"Saving error track experiment to \"+f.getPath());\n\t\t\t\t\ttry{\n\t\t\t\t\t\tDataOutputStream dos = new DataOutputStream(new BufferedOutputStream(new FileOutputStream(f))); \n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\tdivEx.toDisk(dos, null);\n\t\t\t\t\t\tdos.close();\n\t\t\t\t\t\tSystem.out.println(\"Done saving diverged tracks\");\n\t\t\t\t\t} catch(Exception e){\n\t\t\t\t\t\tSystem.out.println(\"Save error\");\n\t\t\t\t\t}\n\t\t\n\t\t\t\t} catch (Exception e){\n\t\t\t\t\t\n\t\t\t\t}\n\t\t\t} else {\n\t\t\t}\n\t\t}\n\t\t\n\t\t\n\t\tExperiment fitEx = new Experiment();\n\t\tfitEx.tracks = fits;\n\t\tExperiment divEx = new Experiment();\n\t\tdivEx.tracks = divs;\n\t\t\n\t\ttry {\n\t\t\tFile f = new File(dstBaseDir+\"allFitTracks.jav\");\n\t\t\tSystem.out.println(\"Saving fit track experiment to \"+f.getPath());\n\t\t\ttry{\n\t\t\t\tDataOutputStream dos = new DataOutputStream(new BufferedOutputStream(new FileOutputStream(f))); \n\t\t\t\t\t\t\n\t\t\t\tfitEx.toDisk(dos, null);\n\t\t\t\tdos.close();\n\t\t\t\tSystem.out.println(\"Done saving fit tracks\");\n\t\t\t} catch(Exception e){\n\t\t\t\tSystem.out.println(\"Save error\");\n\t\t\t}\n\t\t\t\n\t\t\tf = new File(dstBaseDir+\"allDivTracks.prejav\");\n\t\t\tSystem.out.println(\"Saving error track experiment to \"+f.getPath());\n\t\t\ttry{\n\t\t\t\tDataOutputStream dos = new DataOutputStream(new BufferedOutputStream(new FileOutputStream(f))); \n\t\t\t\t\t\t\n\t\t\t\tdivEx.toDisk(dos, null);\n\t\t\t\tdos.close();\n\t\t\t\tSystem.out.println(\"Done saving diverged tracks\");\n\t\t\t} catch(Exception e){\n\t\t\t\tSystem.out.println(\"Save error\");\n\t\t\t}\n\n\t\t} catch (Exception e){\n\t\t\t\n\t\t}\n\t\t\n\t\t\n\t\timj.quit();\n\t}", "@Test\n\tpublic void testClassifier() {\n\t\t// Ensure there are no intermediate files left in tmp directory\n\t\tFile exampleFile = FileUtils.getTmpFile(FusionClassifier.EXAMPLE_FILE_NAME);\n\t\tFile predictionsFile = FileUtils.getTmpFile(FusionClassifier.PREDICTIONS_FILE_NAME);\n\t\texampleFile.delete();\n\t\tpredictionsFile.delete();\n\t\t\n\t\tList<List<Double>> columnFeatures = new ArrayList<>();\n\t\tSet<String> inputRecognizers = new HashSet();\n\t\tList<Map<String, Double>> supportingCandidates = new ArrayList();\n\t\tList<Map<String, Double>> competingCandidates = new ArrayList();\n\t\t\n\t\t// Supporting candidates\n\t\tMap<String, Double> supportingCandidatesTipo = new HashMap();\n\t\tsupportingCandidatesTipo.put(INPUT_RECOGNIZER_ID, TIPO_SIMILARITY_SCORE);\n\t\tsupportingCandidates.add(supportingCandidatesTipo);\n\n\t\tMap<String, Double> supportingCandidatesInsegna = new HashMap();\n\t\tsupportingCandidatesInsegna.put(INPUT_RECOGNIZER_ID, INSEGNA_SIMILARITY_SCORE);\n\t\tsupportingCandidates.add(supportingCandidatesInsegna);\n\t\t\n\t\t// Competing candidates\n\t\tMap<String, Double> competingCandidatesTipo = new HashMap();\n\t\tcompetingCandidatesTipo.put(INPUT_RECOGNIZER_ID, 0.);\n\t\tcompetingCandidates.add(competingCandidatesTipo);\n\t\tMap<String, Double> competingCandidatesInsegna = new HashMap();\n\t\tcompetingCandidatesInsegna.put(INPUT_RECOGNIZER_ID, 0.);\n\t\tcompetingCandidates.add(competingCandidatesInsegna);\n\n\t\t// Two columns: insegna and tipo from osterie_tipiche\n\t\t// A single column feature: uniqueness\n\t\tList<Double> featuresTipo = new ArrayList();\n\t\tfeaturesTipo.add(0.145833);\n\t\tcolumnFeatures.add(featuresTipo);\n\t\t\n\t\tList<Double> featuresInsegna = new ArrayList();\n\t\tfeaturesInsegna.add(1.0);\n\t\tcolumnFeatures.add(featuresInsegna);\n\t\t\n\t\t// A single input recognizer\n\t\tinputRecognizers.add(INPUT_RECOGNIZER_ID);\n\n\t\t// Create the classifier\n\t\tFusionClassifier classifier \n\t\t\t= new FusionClassifier(FileUtils.getSVMModelFile(MINIMAL_FUSION_CR_NAME), \n\t\t\t\t\tcolumnFeatures, \n\t\t\t\t\tRESTAURANT_CONCEPT_ID, \n\t\t\t\t\tinputRecognizers);\n\t\tList<Double> predictions \n\t\t\t= classifier.classifyColumns(supportingCandidates, competingCandidates);\n\t\t\n\t\tboolean tipoIsNegativeExample = predictions.get(0) < -0.5;\n\t\t\n//\t\tTODO This currently doesn't work -- need to investigate\n//\t\tboolean insegnaIsPositiveExample = predictions.get(1) > 0.5;\n\t\t\n\t\tassertTrue(tipoIsNegativeExample);\n//\t\tassertTrue(insegnaIsPositiveExample);\n\t\t\n\ttry {\n\t\tSystem.out.println(new File(\".\").getCanonicalPath());\n\t\tSystem.out.println(getClass().getProtectionDomain().getCodeSource().getLocation());\n\t} catch (IOException e) {\n\t\t// TODO Auto-generated catch block\n\t\te.printStackTrace();\n\t}\n\t\t\n\t}", "public void inferPiStatus(\n ProteinMatch proteinMatch,\n Identification identification,\n Metrics metrics,\n TargetDecoyMap proteinMap,\n IdentificationParameters identificationParameters,\n SequenceProvider sequenceProvider,\n ProteinDetailsProvider proteinDetailsProvider,\n WaitingHandler waitingHandler\n ) {\n\n if (waitingHandler.isRunCanceled()) {\n return;\n }\n\n PSParameter proteinMatchParameter = (PSParameter) proteinMatch.getUrParam(PSParameter.dummy);\n String[] accessions = proteinMatch.getAccessions();\n String mainAccession = proteinMatch.getLeadingAccession();\n\n if (accessions.length > 1) {\n\n boolean similarityFound = false;\n boolean allSimilar = false;\n\n for (String accession : accessions) {\n\n if (compareMainProtein(proteinMatch, mainAccession, proteinMatch,\n accession, sequenceProvider, proteinDetailsProvider,\n identificationParameters, identification) > 0) {\n\n mainAccession = accession;\n\n }\n }\n\n similarityLoop:\n for (int i = 0; i < accessions.length - 1; i++) {\n\n for (int j = i + 1; j < accessions.length; j++) {\n\n if (getSimilarity(accessions[i], accessions[j], proteinDetailsProvider)) {\n\n similarityFound = true;\n\n if (compareMainProtein(proteinMatch, mainAccession, proteinMatch,\n accessions[j], sequenceProvider, proteinDetailsProvider,\n identificationParameters, identification) > 0) {\n\n mainAccession = accessions[i];\n\n }\n\n break similarityLoop;\n\n }\n }\n }\n\n if (similarityFound) {\n\n allSimilar = true;\n\n for (String accession : accessions) {\n\n if (!mainAccession.equals(accession)) {\n\n if (!getSimilarity(mainAccession, accession, proteinDetailsProvider)) {\n\n allSimilar = false;\n break;\n\n }\n }\n }\n }\n\n if (!similarityFound) {\n\n proteinMatchParameter.setProteinInferenceClass(PSParameter.UNRELATED);\n\n for (long peptideKey : proteinMatch.getPeptideMatchesKeys()) {\n\n PeptideMatch peptideMatch = (PeptideMatch) identification.getPeptideMatch(peptideKey);\n PSParameter peptideParameter = (PSParameter) peptideMatch.getUrParam(PSParameter.dummy);\n peptideParameter.setProteinInferenceClass(PSParameter.UNRELATED);\n\n identification.updateObject(peptideKey, peptideMatch);\n\n }\n\n } else if (!allSimilar) {\n\n proteinMatchParameter.setProteinInferenceClass(PSParameter.RELATED_AND_UNRELATED);\n\n for (long peptideKey : proteinMatch.getPeptideMatchesKeys()) {\n\n PeptideMatch peptideMatch = (PeptideMatch) identification.getPeptideMatch(peptideKey);\n PSParameter peptideParameter = (PSParameter) peptideMatch.getUrParam(PSParameter.dummy);\n peptideParameter.setProteinInferenceClass(PSParameter.RELATED_AND_UNRELATED);\n identification.updateObject(peptideKey, peptideMatch);\n\n }\n\n } else {\n\n proteinMatchParameter.setProteinInferenceClass(PSParameter.RELATED);\n HashSet<String> proteinGroupAccessions = Sets.newHashSet(proteinMatch.getAccessions());\n\n for (long peptideKey : proteinMatch.getPeptideMatchesKeys()) {\n\n PeptideMatch peptideMatch = identification.getPeptideMatch(peptideKey);\n\n boolean unrelated = false;\n\n for (String proteinAccession : peptideMatch.getPeptide().getProteinMapping().navigableKeySet()) {\n\n if (!proteinGroupAccessions.contains(proteinAccession)\n && !getSimilarity(mainAccession, proteinAccession, proteinDetailsProvider)) {\n\n unrelated = true;\n break;\n\n }\n }\n\n PSParameter peptideParameter = (PSParameter) peptideMatch.getUrParam(PSParameter.dummy);\n\n if (unrelated) {\n\n peptideParameter.setProteinInferenceClass(PSParameter.RELATED_AND_UNRELATED);\n\n } else {\n\n peptideParameter.setProteinInferenceClass(PSParameter.RELATED);\n\n }\n\n identification.updateObject(peptideKey, peptideMatch);\n }\n }\n\n } else {\n\n HashSet<String> proteinGroupAccessions = Sets.newHashSet(proteinMatch.getAccessions());\n\n for (long peptideKey : proteinMatch.getPeptideMatchesKeys()) {\n\n PeptideMatch peptideMatch = identification.getPeptideMatch(peptideKey);\n boolean related = false;\n boolean unrelated = false;\n\n for (String proteinAccession : peptideMatch.getPeptide().getProteinMapping().navigableKeySet()) {\n\n if (!proteinGroupAccessions.contains(proteinAccession)) {\n\n boolean similar = getSimilarity(mainAccession, proteinAccession, proteinDetailsProvider);\n\n if (similar) {\n related = true;\n } else {\n unrelated = true;\n }\n\n }\n }\n\n PSParameter peptideParameter = (PSParameter) peptideMatch.getUrParam(PSParameter.dummy);\n\n if (related && unrelated) {\n peptideParameter.setProteinInferenceClass(PSParameter.RELATED_AND_UNRELATED);\n } else if (related) {\n peptideParameter.setProteinInferenceClass(PSParameter.RELATED);\n } else if (unrelated) {\n peptideParameter.setProteinInferenceClass(PSParameter.UNRELATED);\n }\n\n identification.updateObject(peptideKey, peptideMatch);\n }\n }\n\n if (proteinMatch.getAccessions().length > 1) {\n\n if (!proteinMatch.getLeadingAccession().equals(mainAccession)) {\n\n proteinMatch.setLeadingAccession(mainAccession);\n identification.updateObject(proteinMatch.getKey(), proteinMatch);\n\n }\n }\n\n waitingHandler.increaseSecondaryProgressCounter();\n }", "@Test\r\n\tpublic void calculMetricInferiorTeacherWithLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(10f, 1f), 12f, 15f), new Float(1));\r\n\t}", "@Test\n public void showHandledPeaksForInterestingCases() {\n List<ISpectrum> spectra = ClusteringTestUtilities.readISpectraFromResource();\n\n ISpectrum[] spectrums = (ISpectrum[]) spectra.toArray();\n\n ISimilarityChecker checker = new FrankEtAlDotProductTester();\n ISimilarityChecker currentChecker = new FrankEtAlDotProduct(0.5F, 15, true);\n\n //noinspection UnnecessaryLocalVariable,UnusedDeclaration,UnusedAssignment\n Set<String> interestingIds = new HashSet<>();\n\n\n for (int i = 0; i < spectrums.length; i++) {\n ISpectrum psm1 = spectrums[i];\n String id1 = psm1.getId();\n if (!INTERESTING_ID_SET.contains(id1))\n continue; // not an interesting case\n\n for (int j = i + 1; j < spectrums.length; j++) {\n ISpectrum psm2 = spectrums[j];\n\n String id2 = psm2.getId();\n if (!INTERESTING_ID_SET.contains(id2))\n continue; // not an interesting case\n\n // System.out.println(\"Comparing \" + id1 + \" \" + id2);\n\n StringBuilder usedPeaksTester = new StringBuilder();\n\n //noinspection UnnecessaryLocalVariable,UnusedDeclaration,UnusedAssignment\n double dotOrg = checker.assessSimilarity(psm1, psm2);\n\n // System.out.println(\"Peaks compared original Frank Et Al (when the code is written)\");\n // print usage\n // System.out.println(usedPeaksTester.toString());\n\n usedPeaksTester.setLength(0); // clear debug output\n double dotNew = currentChecker.assessSimilarity(psm1, psm2);\n\n // print usage\n // System.out.println(\"Peaks compared current Frank Et Al \");\n // System.out.println(usedPeaksTester.toString());\n\n\n }\n\n }\n }", "public static void testPosterize(){\n\t Picture beach = new Picture(\"beach.jpg\");\n\t beach.explore();\n\t beach.posterize(8);\n\t beach.explore();\n }", "public void extract() {\n \n try {\n //Extrae la plantilla de la imagen. \n template = fingerprintSDK.extract(fingerprint);\n \n //Notifies it has been extracted and the quality of the extraction\n //write template quality to log\n switch (template.getQuality()){\n case Template.HIGH_QUALITY: \n objpantprincipal.pintaraltacalidad();\n break;\n case Template.MEDIUM_QUALITY: \n objpantprincipal.pintarmedianacalidad();\n break;\n case Template.LOW_QUALITY: \n objpantprincipal.pintarbajacalidad();\n break;\n }\n //Muestra la plantilla en la imagen\n objpantprincipal.showImage(GrFingerJava.getBiometricImage(template,fingerprint));\n objpantprincipal.writeLog(\"Minucias extraidas con éxito\");\n } catch (GrFingerJavaException e) {\n //write error to log\n Toolkit.getDefaultToolkit().beep();\n objpantprincipal.writeLog(\"Error, no se pudieron extraer las minucias, vuelva a intentarlo\");\n }\n \n }", "@RestrictTo(Scope.LIBRARY_GROUP)\n @Nullable\n Fingerprint getFingerprint();", "@Test\n public void run () {\n\t \n\t System.out.println(\"---------->\");\n\t //System.out.println(md5list.getResult());\n\t //System.out.println(hashsearch.getResult());\n\t \n\t \n\t \n\t // System.out.println(samples.Testing());\n\t //System.out.println(\"getserult: \"+samples.getResult());\n\t \n }", "public String getFingerprint() {\n return fingerprint;\n }", "void persistFingerprint(String user, SongMetadata smd, Fingerprint fp) throws SQLException;", "@Test\r\n\tpublic void calculMetricInferiorStudentBetterScoreTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(25f, 2f), 12f, 8f), new Float(0));\r\n\t}", "@Test\n public void testFitnessProportionateSelection()\n {\n }", "private void test() {\r\n \ttry {\r\n\t\t\ttestWriter.write(\"Testing started...\");\r\n\t\t\r\n\t\t\tpredictions = new HashMap<>();\r\n \trightAnswers = new HashMap<>();\r\n\r\n\r\n \t// Get results and check them\r\n \tEvaluation eval = new Evaluation(numLabels);\r\n \tfinalTestIterator.reset();\r\n\r\n \tint metaDataCounter = 0;\r\n \tint addrCounter = 0;\r\n\r\n \twhile(finalTestIterator.hasNext()) {\r\n \t// If iterator has next dataset\r\n \tfinalTestData = finalTestIterator.next();\r\n \t// Get meta-data from this dataset\r\n\r\n \t@SuppressWarnings(\"rawtypes\")\r\n \tList<?> exampleMetaData = finalTestData.getExampleMetaData();\r\n \tIterator<?> exampleMetaDataIterator = exampleMetaData.iterator();\r\n \ttestWriter.write(\"\\n Metadata from dataset #\" + metaDataCounter + \":\\n\");\r\n \tSystem.out.println(\"\\n Metadata from dataset #\" + metaDataCounter + \":\\n\");\r\n\r\n \t// Normalize data\r\n \tnormalizer.fit(finalTestData);\r\n\r\n \t// Count processed images\r\n \tnumProcessed = (metaDataCounter + 1) * batchSizeTesting;\r\n \tloaded.setText(\"Loaded and processed: \" + numProcessed + \" pictures\");\r\n\r\n \tINDArray features = finalTestData.getFeatures();\r\n \tINDArray labels = finalTestData.getLabels();\r\n \tSystem.out.println(\"\\n Right labels #\" + metaDataCounter + \":\\n\");\r\n \ttestWriter.write(\"\\n Right labels #\" + metaDataCounter + \":\\n\");\r\n \t// Get right answers of NN for every input object\r\n \tint[][] rightLabels = labels.toIntMatrix();\r\n \tfor (int i = 0; i < rightLabels.length; i++) {\r\n \tRecordMetaDataURI metaDataUri = (RecordMetaDataURI) exampleMetaDataIterator.next();\r\n \t// Print address of image\r\n \tSystem.out.println(metaDataUri.getLocation());\r\n \tfor (int j = 0; j < rightLabels[i].length; j++) {\r\n \tif(rightLabels[i][j] == 1) {\r\n \t//public V put(K key, V value) -> key=address, value=right class label\r\n \trightAnswers.put(metaDataUri.getLocation(), j);\r\n \tthis.addresses.add(metaDataUri.getLocation());\r\n \t}\r\n \t}\r\n \t}\r\n \tSystem.out.println(\"\\nRight answers:\");\r\n \ttestWriter.write(\"\\nRight answers:\");\r\n \t// Print right answers\r\n \tfor(Map.Entry<String, Integer> answer : predictions.entrySet()){\r\n \t\ttestWriter.write(String.format(\"Address: %s Right answer: %s \\n\", answer.getKey(), answer.getValue().toString()));\r\n \tSystem.out.printf(String.format(\"Address: %s Right answer: %s \\n\", answer.getKey(), answer.getValue().toString()));\r\n \t}\r\n\r\n \t// Evaluate on the test data\r\n \tINDArray predicted = vgg16Transfer.outputSingle(features);\r\n \tint predFoundCounter = 0;\r\n \tSystem.out.println(\"\\n Labels predicted #\" + metaDataCounter + \":\\n\");\r\n \ttestWriter.write(\"\\n Labels predicted #\" + metaDataCounter + \":\\n\");\r\n \t// Get predictions of NN for every input object\r\n \tint[][] labelsPredicted = predicted.toIntMatrix();\r\n \tfor (int i = 0; i < labelsPredicted.length; i++) {\r\n \tfor (int j = 0; j < labelsPredicted[i].length; j++) {\r\n \tpredFoundCounter++;\r\n \tif(labelsPredicted[i][j] == 1) {\r\n \t//public V put(K key, V value) -> key=address, value=predicted class label\r\n \tpredFoundCounter = 0;\r\n \tthis.predictions.put(this.addresses.get(addrCounter), j);\r\n \t}\r\n \telse {\r\n \tif (predFoundCounter == 3) {\r\n \t// To fix bug when searching positive predictions\r\n \tthis.predictions.put(this.addresses.get(addrCounter), 2);\r\n \t}\r\n \t}\r\n \t}\r\n \taddrCounter++;\r\n \t}\r\n \tSystem.out.println(\"\\nPredicted:\");\r\n \ttestWriter.write(\"\\nPredicted:\");\r\n \t// Print predictions\r\n \tfor(Map.Entry<String, Integer> pred : rightAnswers.entrySet()){\r\n \tSystem.out.printf(\"Address: %s Predicted answer: %s \\n\", pred.getKey(), pred.getValue().toString());\r\n \ttestWriter.write(String.format(\"Address: %s Predicted answer: %s \\n\", pred.getKey(), pred.getValue().toString()));\r\n \t}\r\n \tmetaDataCounter++;\r\n\r\n \teval.eval(labels, predicted);\r\n \t}\r\n\r\n \tSystem.out.println(\"\\n\\n Cheack loaded model on test data...\");\r\n \tSystem.out.println(String.format(\"Evaluation on test data - [Accuracy: %.3f, P: %.3f, R: %.3f, F1: %.3f] \",\r\n \t\t\teval.accuracy(), eval.precision(), eval.recall(), eval.f1()));\r\n \tSystem.out.println(eval.stats());\r\n \tSystem.out.println(eval.confusionToString());\r\n \ttestWriter.write(\"\\n\\n Cheack loaded model on test data...\");\r\n \ttestWriter.write(String.format(\"Evaluation on test data - [Accuracy: %.3f, P: %.3f, R: %.3f, F1: %.3f] \",\r\n \t\t\teval.accuracy(), eval.precision(), eval.recall(), eval.f1()));\r\n \ttestWriter.write(eval.stats());\r\n \ttestWriter.write(eval.confusionToString());\r\n\r\n \t// Save test rates\r\n \tthis.f1_score = eval.f1();\r\n \tthis.recall_score = eval.recall();\r\n \tthis.accuracy_score = eval.accuracy();\r\n \tthis.precision_score = eval.precision();\r\n \tthis.falseNegativeRate_score = eval.falseNegativeRate();\r\n \tthis.falsePositiveRate_score = eval.falsePositiveRate();\r\n\r\n \tthis.f1.setText(\"F1 = \" + String.format(\"%.4f\", f1_score));\r\n \tthis.recall.setText(\"Recall = \" + String.format(\"%.4f\", recall_score));\r\n \tthis.accuracy.setText(\"Accuracy = \" + String.format(\"%.4f\", accuracy_score));\r\n \tthis.precision.setText(\"Precision = \" + String.format(\"%.4f\", precision_score));\r\n \tthis.falseNegativeRate.setText(\"False Negative Rate = \" + String.format(\"%.4f\", falseNegativeRate_score));\r\n \tthis.falsePositiveRate.setText(\"False Positive Rate = \" + String.format(\"%.4f\", falsePositiveRate_score));\r\n \r\n \ttestWriter.write(\"F1 = \" + String.format(\"%.4f\", f1_score));\r\n \ttestWriter.write(\"Recall = \" + String.format(\"%.4f\", recall_score));\r\n \ttestWriter.write(\"Accuracy = \" + String.format(\"%.4f\", accuracy_score));\r\n \ttestWriter.write(\"Precision = \" + String.format(\"%.4f\", precision_score));\r\n \ttestWriter.write(\"False Negative Rate = \" + String.format(\"%.4f\", falseNegativeRate_score));\r\n \ttestWriter.write(\"False Positive Rate = \" + String.format(\"%.4f\", falsePositiveRate_score));\r\n\r\n \tshowBarChart();\r\n \t} catch (IOException e) {\r\n \t\tSystem.err.println(\"Error while writing to log file\");\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n }", "@Test\n public void testUTurns() throws IOException {\n final AlgorithmOptions algoOptions = AlgorithmOptions.start(this.algoOptions)\n // Reduce penalty to allow U-turns\n .hints(new PMap().put(Parameters.Routing.HEADING_PENALTY, 50))\n .build();\n\n MapMatching mapMatching = new MapMatching(hopper, algoOptions);\n Gpx gpx = xmlMapper.readValue(getClass().getResourceAsStream(\"/tour4-with-uturn.gpx\"), Gpx.class);\n\n // with large measurement error, we expect no U-turn\n mapMatching.setMeasurementErrorSigma(50);\n MatchResult mr = mapMatching.doWork(gpx.trk.get(0).getEntries());\n\n assertEquals(Arrays.asList(\"Gustav-Adolf-Straße\", \"Gustav-Adolf-Straße\", \"Funkenburgstraße\",\n \"Funkenburgstraße\"), fetchStreets(mr.getEdgeMatches()));\n\n // with small measurement error, we expect the U-turn\n mapMatching.setMeasurementErrorSigma(10);\n mr = mapMatching.doWork(gpx.trk.get(0).getEntries());\n\n assertEquals(\n Arrays.asList(\"Gustav-Adolf-Straße\", \"Gustav-Adolf-Straße\", \"Funkenburgstraße\",\n \"Funkenburgstraße\", \"Funkenburgstraße\", \"Funkenburgstraße\"),\n fetchStreets(mr.getEdgeMatches()));\n }", "public String getFingerprint() {\n return fingerprint;\n }", "public String getFingerprint() {\n return fingerprint;\n }", "public String getFingerprint() {\n return fingerprint;\n }", "@Test\r\n\tpublic void calculMetricInferiorTeacherBetterScoreButNoLostPointsTest() {\r\n\t\tAssert.assertEquals(UtilCalculGrade.calculMetricInferior(new ModelValue(25f, 1f), 12f, 13f), new Float(0));\r\n\t}", "@Test\n public void testPPermutation() {\n FieldMatrix<Dfp> matrix = new Array2DRowFieldMatrix<>(Dfp25.getField(), testData);\n FieldMatrix<Dfp> p = new FieldLUDecomposition<>(matrix).getP();\n\n FieldMatrix<Dfp> ppT = p.multiply(p.transpose());\n FieldMatrix<Dfp> id =\n new Array2DRowFieldMatrix<>(Dfp25.getField(),\n p.getRowDimension(), p.getRowDimension());\n for (int i = 0; i < id.getRowDimension(); ++i) {\n id.setEntry(i, i, Dfp25.ONE);\n }\n TestUtils.assertEquals(id, ppT);\n\n for (int i = 0; i < p.getRowDimension(); i++) {\n int zeroCount = 0;\n int oneCount = 0;\n int otherCount = 0;\n for (int j = 0; j < p.getColumnDimension(); j++) {\n final Dfp e = p.getEntry(i, j);\n if (e.equals(Dfp25.ZERO)) {\n ++zeroCount;\n } else if (e.equals(Dfp25.ONE)) {\n ++oneCount;\n } else {\n ++otherCount;\n }\n }\n Assert.assertEquals(p.getColumnDimension() - 1, zeroCount);\n Assert.assertEquals(1, oneCount);\n Assert.assertEquals(0, otherCount);\n }\n\n for (int j = 0; j < p.getColumnDimension(); j++) {\n int zeroCount = 0;\n int oneCount = 0;\n int otherCount = 0;\n for (int i = 0; i < p.getRowDimension(); i++) {\n final Dfp e = p.getEntry(i, j);\n if (e.equals(Dfp25.ZERO)) {\n ++zeroCount;\n } else if (e.equals(Dfp25.ONE)) {\n ++oneCount;\n } else {\n ++otherCount;\n }\n }\n Assert.assertEquals(p.getRowDimension() - 1, zeroCount);\n Assert.assertEquals(1, oneCount);\n Assert.assertEquals(0, otherCount);\n }\n }", "boolean mo60903a(AvatarImageWithVerify avatarImageWithVerify, UserVerify userVerify);", "@Test\n public void testClaimAttendPhysFname() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setAttendPhysFname,\n RdaFissClaim::getAttendPhysFname,\n RdaFissClaim.Fields.attendPhysFname,\n 18);\n }", "@Test\n public void testFingerprintWakeAndUnlock() throws Exception {\n if (isTracesEnabled()) {\n createTraceDirectory();\n }\n for (int i = 0; i < mIterationCount; i++) {\n mDevice.sleep();\n\n // Wait for clocks to settle down\n SystemClock.sleep(CLOCK_SETTLE_DELAY);\n if (null != mAtraceLogger) {\n mAtraceLogger.atraceStart(mTraceCategoriesSet, mTraceBufferSize,\n mTraceDumpInterval, mRootTrace,\n String.format(\"%s-%d\", TEST_FINGERPRINT, i));\n }\n\n mDevice.executeShellCommand(FINGERPRINT_WAKE_FAKE_COMMAND);\n mDevice.waitForIdle();\n\n if (null != mAtraceLogger) {\n mAtraceLogger.atraceStop();\n }\n }\n }", "public void test(List<String> modelFiles, String testFile, String prpFile) {\n/* 1014 / List<List<RankList>> trainingData = new ArrayList<>();\n/ 1015 / List<List<RankList>> testData = new ArrayList<>();\n/ / \n/ / \n/ 1018 / int nFold = modelFiles.size();\n/ / \n/ 1020 / List<RankList> samples = readInput(testFile);\n/ / \n/ 1022 / System.out.print(\"Preparing \" + nFold + \"-fold test data... \");\n/ 1023 / FeatureManager.prepareCV(samples, nFold, trainingData, testData);\n/ 1024 / System.out.println(\"[Done.]\");\n/ 1025 / double rankScore = 0.0D;\n/ 1026 / List<String> ids = new ArrayList<>();\n/ 1027 / List<Double> scores = new ArrayList<>();\n/ 1028 / for (int f = 0; f < nFold; f++) {\n/ / \n/ 1030 / List<RankList> test = testData.get(f);\n/ 1031 / Ranker ranker = this.rFact.loadRankerFromFile(modelFiles.get(f));\n/ 1032 / int[] features = ranker.getFeatures();\n/ 1033 / if (normalize) {\n/ 1034 / normalize(test, features);\n/ / }\n/ 1036 / for (RankList aTest : test) {\n/ 1037 / RankList l = ranker.rank(aTest);\n/ 1038 / double score = this.testScorer.score(l);\n/ 1039 / ids.add(l.getID());\n/ 1040 / scores.add(Double.valueOf(score));\n/ 1041 / rankScore += score;\n/ / } \n/ / } \n/ 1044 / rankScore /= ids.size();\n/ 1045 / ids.add(\"all\");\n/ 1046 / scores.add(Double.valueOf(rankScore));\n/ 1047 / System.out.println(this.testScorer.name() + \" on test data: \" + SimpleMath.round(rankScore, 4));\n/ / \n/ 1049 / if (!prpFile.isEmpty()) {\n/ / \n/ 1051 / savePerRankListPerformanceFile(ids, scores, prpFile);\n/ 1052 / System.out.println(\"Per-ranked list performance saved to: \" + prpFile);\n/ / } \n/ / }", "public String getFingerprint() {\n return fingerprint;\n }", "void mo60904b(AvatarImageWithVerify avatarImageWithVerify);", "@Test\n public void picture3FixedTest() {\n // TODO: test picture3Fixed\n }", "public void postSpeciation() {\n\t\tif (speciesTarget > 0) {\r\n\t\t\tadjustThreshold();\r\n\t\t}\r\n\r\n\t\t// remove dead species\r\n\t\tfor (int i = 0; i < speciesList.size(); i++) {\r\n\r\n\t\t\tspeciesList.get(i).updateBestFitness();\r\n\r\n\t\t\tif ((speciesList.get(i).size() < 1) \|\| (speciesList.get(i).isStagnant())) {\r\n\t\t\t\tspeciesList.remove(i);\r\n\t\t\t}\r\n\t\t}\r\n\t}", "@Test(timeout = 4000)\n public void test026() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getStructure();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.recall((-9));\n assertEquals(0.0, double0, 0.01);\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01);\n }", "@Test\n public void testRandomization() {\n String sha = \"SHA-256\";\n String mgf = \"MGF1\";\n int saltLen = 32;\n int keySizeInBits = 2048;\n int samples = 8;\n Set<String> signatures = new HashSet<String>();\n Signature signer;\n PrivateKey priv;\n try {\n String algorithm = getAlgorithmName(sha, mgf);\n KeyPairGenerator keyGen = KeyPairGenerator.getInstance(\"RSA\");\n keyGen.initialize(keySizeInBits);\n KeyPair keypair = keyGen.genKeyPair();\n priv = keypair.getPrivate();\n signer = Signature.getInstance(algorithm);\n PSSParameterSpec params = getPssParameterSpec(sha, mgf, sha, saltLen, 1);\n signer.setParameter(params);\n byte[] messageBytes = new byte[8];\n for (int i = 0; i < samples; i++) {\n signer.initSign(priv);\n signer.update(messageBytes);\n byte[] signature = signer.sign();\n String hex = TestUtil.bytesToHex(signature);\n assertTrue(\"Same signature computed twice\", signatures.add(hex));\n }\n } catch (GeneralSecurityException ex) {\n TestUtil.skipTest(\"Failed to generat signatures:\" + ex);\n return;\n }\n }", "@Test\n public void testClaimAttendPhysMint() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setAttendPhysMint,\n RdaFissClaim::getAttendPhysMint,\n RdaFissClaim.Fields.attendPhysMint,\n 1);\n }", "@Test\r\n public void testGetPredictedDiseaseAssociationsForMgiGeneId() {\r\n String mgiGeneId = \"MGI:95523\";\r\n\r\n Map<Disease, Set<DiseaseAssociation>> result = instance.getPredictedDiseaseAssociationsForMgiGeneId(mgiGeneId);\r\n \r\n// for (Disease disease : result.keySet()) {\r\n// System.out.println(disease);\r\n// for (DiseaseAssociation diseaseAssociation : result.get(disease)) {\r\n// System.out.println(String.format(\" %s\", diseaseAssociation));\r\n// }\r\n// }\r\n assertTrue(result.keySet().size() > 290);\r\n }", "public void test_0020() {\n int nFactors = 2;\n FactorAnalysis instance = new FactorAnalysis(data, nFactors);\n\n assertEquals(instance.nObs(), 18., 1e-15);\n assertEquals(instance.nVariables(), 6., 1e-15);\n assertEquals(instance.nFactors(), 2., 1e-15);\n\n FAEstimator estimators = instance.getEstimators(400);\n\n Vector uniqueness = estimators.psi();\n assertArrayEquals(\n new double[]{0.005, 0.114, 0.642, 0.742, 0.005, 0.097},\n uniqueness.toArray(),\n 2e-2);\n\n int dof = estimators.dof();\n assertEquals(dof, 4);\n\n double fitted = estimators.logLikelihood();\n assertEquals(fitted, 1.803, 1e-3);\n\n Matrix loadings = estimators.loadings();\n assertTrue(AreMatrices.equal(\n new DenseMatrix(new double[][]{\n {0.971, 0.228},\n {0.917, 0.213},\n {0.429, 0.418},\n {0.363, 0.355},\n {0.254, 0.965},\n {0.205, 0.928}\n }),\n loadings,\n 1e-3));\n\n double testStats = estimators.statistics();\n assertEquals(testStats, 23.14, 1e-2);\n\n double pValue = estimators.pValue();\n assertEquals(pValue, 0.000119, 1e-6);//R: 1-pchisq(23.14, df=4) = 0.0001187266\n\n// System.out.println(uniqueness.toString());\n// System.out.println(fitted);\n// System.out.println(loadings.toString());\n }", "@Test\r\n public static void testSamplePrKdf() throws Exception {\r\n \tfinal PrKdf prkdf = new PrKdf();\r\n Assert.assertNotNull(prkdf);\r\n prkdf.setDerValue(SAMPLE_PRKDF);\r\n LOGGER.info(\"\\n\" + prkdf.toString() + \"\\n\"); //$NON-NLS-1$ //$NON-NLS-2$\r\n }", "public Builder setFingerprint(String fingerprint) {\n this.fingerprint = fingerprint;\n return this;\n }", "Fingerprint findFingerprintByUserAndMetadata(String user, SongMetadata smd) throws SQLException;", "protected void process(DPFPSample sample)\n {\n drawPicture(convertSampleToBitmap(sample));\n \n // Process the sample and create a feature set for the enrollment purpose.\n DPFPFeatureSet features = extractFeatures(sample, DPFPDataPurpose.DATA_PURPOSE_ENROLLMENT);\n\n // Check quality of the sample and add to enroller if it's good\n if (features != null) try\n {\n makeReport(\"The fingerprint feature set was created.\");\n enroller.addFeatures(features);\t\t// Add feature set to template.\n }\n catch (DPFPImageQualityException ex) { }\n finally {\n updateStatus();\n\n // Check if template has been created.\n switch(enroller.getTemplateStatus())\n {\n case TEMPLATE_STATUS_READY:\t// report success and stop capturing\n stop();\n next.setEnabled(true);\n JOptionPane.showMessageDialog(this, \"Finger print enrolment completed, click next to continue registration\", \"Information\", JOptionPane.INFORMATION_MESSAGE);\n setTemplate(enroller.getTemplate());\n setPrompt(\"Click Close, and then click Fingerprint Verification.\");\n break;\n\n case TEMPLATE_STATUS_FAILED:\t// report failure and restart capturing\n enroller.clear();\n stop();\n updateStatus();\n //((MainForm)getOwner()).setTemplate(null);\n JOptionPane.showMessageDialog(this, \"The fingerprint template is not valid. Repeat fingerprint enrollment.\", \"Fingerprint Enrollment\", JOptionPane.ERROR_MESSAGE);\n start();\n break;\n }\n }\n }", "public void handleVerificationSuccessResult(ZoomVerificationResult successResult) {\n if (successResult.getFaceMetrics() != null) {\n // this is the raw biometric data which can be uploaded, or may be\n // base64 encoded in order to handle easier at the cost of processing and network usage\n bytes = successResult.getFaceMetrics().getZoomFacemap();\n if (!successResult.getFaceMetrics().getAuditTrail().isEmpty()) {\n face2 = successResult.getFaceMetrics().getAuditTrail().get(0).copy(Bitmap.Config.ARGB_8888, true);\n }\n\n //if (RecogEngine.g_recogResult.faceBitmap != null) {\n if (imageFile != null) {\n //Bitmap nBmp = RecogEngine.g_recogResult.faceBitmap.copy(Bitmap.Config.ARGB_8888, true);\n Bitmap nBmp = decodeFileFromPath(imageFile.getAbsolutePath()).copy(Bitmap.Config.ARGB_8888, true);\n int w = nBmp.getWidth();\n int h = nBmp.getHeight();\n int s = (w 32 + 31) / 32 * 4;\n ByteBuffer buff = ByteBuffer.allocate(s * h);\n nBmp.copyPixelsToBuffer(buff);\n FaceLockHelper.DetectLeftFace(buff.array(), w, h);\n }\n\n if (face2 != null) {\n Bitmap nBmp = face2;\n ivUserProfile2.setImageBitmap(nBmp);\n ivUserProfile2.setVisibility(View.VISIBLE);\n int w = nBmp.getWidth();\n int h = nBmp.getHeight();\n int s = (w * 32 + 31) / 32 * 4;\n ByteBuffer buff = ByteBuffer.allocate(s * h);\n nBmp.copyPixelsToBuffer(buff);\n FaceLockHelper.DetectRightFace(buff.array(), w, h, null);\n }\n\n sessionId = successResult.getSessionId();\n liveness(successResult);\n }\n }", "void mo60902a(AvatarImageWithVerify avatarImageWithVerify);", "public void findKeyPoints(){\n Mat descriptorFrame = new Mat();\n MatOfKeyPoint keyPointFrame = new MatOfKeyPoint();\n\n mDetector.detect(mGray.submat(mScanTop,mScanBottom,mScanLeft,mScanRight), keyPointFrame);\n mExtractor.compute(mGray.submat(mScanTop,mScanBottom,mScanLeft,mScanRight), keyPointFrame, descriptorFrame);\n\n /* matches the keypoints of incoming frame with the key points of template /\n MatOfDMatch matches = new MatOfDMatch();\n\n / if descriptorFrame.cols()==0, mMatcher.match will cause exception /\n if(descriptorFrame.cols()==0){\n lostTrack();\n return;\n }else{\n mMatcher.match(mDescriptor, descriptorFrame, matches);\n mLostTrackCounter = 0;\n mRectBorder = new Scalar(150,200,150);\n }\n\n / check if pattern exist by checking the sume of DMatch.distance /\n DMatch dm[] = matches.toArray();\n\n / pattern found. go through matofdmatch again, find all the key points whose distance is lower than threshold /\n / which, in theory, should mean that these points belong to the pattern /\n KeyPoint kp[] = keyPointFrame.toArray();\n List<Point> frameKp = new ArrayList<>();\n List<KeyPoint> kpNew = new ArrayList<>();\n List<Point3> kpTemplate = new ArrayList<>();\n\n / form new points to monitor /\n double xTally = 0,\n yTally = 0,\n counter = 0;\n\n / find the average point to monitor /\n\n for(int i = 0; i<dm.length;i++){\n if(dm[i].distance<800&&dm[i].distance>200){\n kpNew.add(new KeyPoint((float) kp[dm[i].trainIdx].pt.x+mScanLeft,(float) kp[dm[i].trainIdx].pt.y+mScanTop, kp[dm[i].trainIdx].size));\n frameKp.add(new Point((float) kp[dm[i].trainIdx].pt.x+mScanLeft,(float) kp[dm[i].trainIdx].pt.y+mScanTop));\n Point3 newPoint3 = new Point3(mArrayListTemplateKP.get(dm[i].queryIdx).x-90,mArrayListTemplateKP.get(dm[i].queryIdx).y-70,0);\n kpTemplate.add(newPoint3);\n\n xTally += kp[dm[i].trainIdx].pt.x + (double)mScanLeft;\n yTally += kp[dm[i].trainIdx].pt.y + (double)mScanTop;\n counter += 1;\n }\n }\n\n if(counter>2){\n mKpMat.fromList(kpNew);\n mRefCoord.fromList(kpTemplate);\n mFrameKP.fromList(frameKp);\n\n mScanCenter = new Point(xTally/counter,yTally/counter);\n }else{\n lostTrack();\n return;\n }\n\n runOnUiThread(new Runnable() {\n @Override\n public void run() {\n tvShutter.setBackground(ContextCompat.getDrawable(getApplicationContext(),R.drawable.shutter_active));\n }\n });\n\n adjustROI(mScanCenter, mDetectionBoxSize);\n }", "@Test\n public void testClaimAttendPhysId() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setAttendPhysId,\n RdaFissClaim::getAttendPhysId,\n RdaFissClaim.Fields.attendPhysId,\n 16);\n }", "public static void printPredictedAndObservedRtForkFrequencies(ParameterSet pset) {\n System.out.println(pset);\n modelComparator.printRtForkFrequencies();\n }", "@Test\n @Tag(\"slow\")\n @Tag(\"unstable\")\n public void testFIT2P() {\n CuteNetlibCase.doTest(\"FIT2P.SIF\", \"1234567890\", \"1234567890\", NumberContext.of(7, 4));\n }", "@Test\n\tpublic void withLensDistortion() {\n\t\tQrCodeDistortedChecks helper = new QrCodeDistortedChecks();\n\n\t\thelper.render();\n\n\t\t// find location of postion patterns and create graph\n\t\tFastQueue<PositionPatternNode> pps = new FastQueue<>(PositionPatternNode.class,true);\n\n\t\tpps.grow().square = new Polygon2D_F64(4);\n\t\tpps.grow().square = new Polygon2D_F64(4);\n\t\tpps.grow().square = new Polygon2D_F64(4);\n\n\t\thelper.setLocation(pps.get(0).square,pps.get(1).square,pps.get(2).square);\n\t\tfor (int i = 0; i < pps.size; i++) {\n\t\t\tpps.get(i).grayThreshold = 125;\n\t\t}\n\t\t// these numbers were found by sketching the QR code\n\t\tconnect(pps.get(2),pps.get(1),3,1);\n\t\tconnect(pps.get(0),pps.get(1),0,2);\n\n\t\t// Should fail when run on distorted image\n\t\tQrCodeDecoderImage<GrayF32> decoder = new QrCodeDecoderImage<>(null,GrayF32.class);\n\t\tdecoder.process(pps,helper.image);\n\n\t\tassertEquals(0, decoder.successes.size());\n\n\t\t// now tell it how to undistort the image\n\t\tdecoder.setLensDistortion(helper.image.width,helper.image.height,helper.distortion);\n\t\tfor (int i = 0; i < pps.size; i++) {\n\t\t\thelper.distToUndist(pps.get(i).square);\n\t\t}\n\t\tdecoder.process(pps,helper.image);\n\n\t\tassertEquals(1,decoder.successes.size());\n\t\tQrCode found = decoder.getFound().get(0);\n\t\tassertTrue(found.message.equals(\"123\"));\n\t}", "@Test\n @Tag(\"slow\")\n public void testFIT1P() {\n CuteNetlibCase.doTest(\"FIT1P.SIF\", \"9146.378092420955\", null, NumberContext.of(7, 4));\n }", "@Test\n\t@TestProperties(name = \"PnP procedure in NMS warm reboot IPV4 + Change frequency\", returnParam = {\n\t\t\t\"IsTestWasSuccessful\" }, paramsExclude = { \"IsTestWasSuccessful\" })\n\tpublic void PnPWarmRebootIPV4ChangeFrequency() throws Exception {\n\t\tisWarmReset = true;\n\t\tisInterTest = true;\n\t\tmainProcedure();\n\t\tpostTest();\n\t}", "public void test1_4DiffusionAndDensity() throws Exception {\n getReverb(0);\n try {\n short ratio = mReverb.getDiffusion();\n ratio = (short)((ratio == 500) ? 1000 : 500);\n mReverb.setDiffusion(ratio);\n short ratio2 = mReverb.getDiffusion();\n assertTrue(\"got incorrect diffusion\",\n ((float)ratio2 > (float)(ratio / RATIO_TOLERANCE)) &&\n ((float)ratio2 < (float)(ratio RATIO_TOLERANCE)));\n\n ratio = mReverb.getDensity();\n ratio = (short)((ratio == 500) ? 1000 : 500);\n mReverb.setDensity(ratio);\n ratio2 = mReverb.getDensity();\n assertTrue(\"got incorrect density\",\n ((float)ratio2 > (float)(ratio / RATIO_TOLERANCE)) &&\n ((float)ratio2 < (float)(ratio * RATIO_TOLERANCE)));\n\n } catch (IllegalArgumentException e) {\n fail(\"Bad parameter value\");\n } catch (UnsupportedOperationException e) {\n fail(\"get parameter() rejected\");\n } catch (IllegalStateException e) {\n fail(\"get parameter() called in wrong state\");\n } finally {\n releaseReverb();\n }\n }", "@Test\n public void testClaimPrincipleDiag() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setPrincipleDiag,\n RdaFissClaim::getPrincipleDiag,\n RdaFissClaim.Fields.principleDiag,\n 7);\n }", "@Override\r\n\tprotected void checkUpdate(Fingerprint entity) throws BusinessException {\n\t}", "boolean hasFingerPrint();", "@Test\n public void testClaimPracLocZip() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setPracLocZip,\n RdaFissClaim::getPracLocZip,\n RdaFissClaim.Fields.pracLocZip,\n 15);\n }", "@Test void process_allPointsInside() {\n\t\tvar alg = (PointTrackerKltPyramid<GrayF32, GrayF32>)createTracker();\n\n\t\talg.process(image);\n\t\talg.spawnTracks();\n\n\t\t// swap in a new tracker which won't change the track states\n\t\talg.tracker = new DummyTracker(null);\n\t\tint N = alg.active.size();\n\t\tassertTrue(N > 10);\n\t\t// put two tracks outside of the image, but still close enough to be tracked by KLT\n\t\talg.active.get(0).setPosition(-1, -2);\n\t\talg.active.get(2).setPosition(image.width + 1, image.height);\n\n\t\t// process it again, location's wont change so two tracks should be dropped since they are outside\n\t\talg.process(image);\n\t\tassertEquals(2, alg.getDroppedTracks(null).size());\n\t\tassertEquals(N - 2, alg.getActiveTracks(null).size());\n\t}", "@Test(timeout = 4000)\n public void test144() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n resultMatrixSignificance0.getDefaultMeanWidth();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n resultMatrixSignificance0.setCountWidth(1);\n intArray0[1] = 0;\n intArray0[2] = 0;\n resultMatrixSignificance0.m_RowOrder = intArray0;\n resultMatrixSignificance0.getSignificance(0, 322);\n int int1 = resultMatrixSignificance0.getSignificanceWidth();\n assertEquals(1, resultMatrixSignificance0.getCountWidth());\n assertEquals(0, resultMatrixSignificance0.getDefaultCountWidth());\n assertEquals(0, int1);\n }", "@Then(\"Universal Image Record should be created and should be displayed in the listing\")\n\t\tpublic void ff() throws FileNotFoundException, IOException, InterruptedException {\n\t\t}", "public Field.Fieldelements placeShotComputer() {\r\n int sizeX = this.fieldUser.getSizeX();\r\n int sizeY = this.fieldUser.getSizeY();\r\n \r\n // probability that a field contains a ship (not in percent, 1000 is best)\r\n double[][] probability = new double[sizeX][sizeY];\r\n double sumProbability = 0;\r\n \r\n for (int posX = 0; posX < sizeX; posX++) {\r\n for (int posY = 0; posY < sizeY; posY++) {\r\n // set probability for each field to 1\r\n probability[sizeX][sizeY] = 1.;\r\n \r\n // check neighbouring fields for hits and set probability to 1000\r\n if (Field.Fieldelements.HIT == fieldUser.getFieldStatus(posX, posY - 1) \|\|\r\n Field.Fieldelements.HIT == fieldUser.getFieldStatus(posX, posY + 1) \|\|\r\n Field.Fieldelements.HIT == fieldUser.getFieldStatus(posX - 1, posY) \|\|\r\n Field.Fieldelements.HIT == fieldUser.getFieldStatus(posX + 1, posY)) {\r\n probability[posX][posY] = 1000;\r\n }\r\n \r\n // 0 points if all fields above and below are SUNK or SHOT\r\n if ((Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX, posY - 1) \|\| Field.Fieldelements.WATER == fieldUser.getFieldStatus(posX, posY - 1)) &&\r\n (Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX, posY + 1) \|\| Field.Fieldelements.WATER == fieldUser.getFieldStatus(posX, posY + 1)) &&\r\n (Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX - 1, posY) \|\| Field.Fieldelements.WATER == fieldUser.getFieldStatus(posX - 1, posY)) &&\r\n (Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX + 1, posY) \|\| Field.Fieldelements.WATER == fieldUser.getFieldStatus(posX + 1, posY))\r\n ) {\r\n probability[posX][posY] = 0;\r\n }\r\n \r\n // 0 points if a neighbouring field is SUNK\r\n if (Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX - 1, posY - 1) \|\|\r\n Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX - 1, posY) \|\|\r\n Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX - 1, posY + 1) \|\|\r\n Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX, posY - 1) \|\|\r\n Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX, posY + 1) \|\|\r\n Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX + 1, posY - 1) \|\|\r\n Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX + 1, posY) \|\|\r\n Field.Fieldelements.SUNK == fieldUser.getFieldStatus(posX + 1, posY + 1)\r\n ) {\r\n probability[posX][posY] = 0;\r\n }\r\n \r\n // 0 points if top right, top left, bottom right or bottom left is HIT\r\n if (Field.Fieldelements.HIT == fieldUser.getFieldStatus(posX - 1, posY - 1) \|\|\r\n Field.Fieldelements.HIT == fieldUser.getFieldStatus(posX - 1, posY + 1) \|\|\r\n Field.Fieldelements.HIT == fieldUser.getFieldStatus(posX + 1, posY - 1) \|\|\r\n Field.Fieldelements.HIT == fieldUser.getFieldStatus(posX + 1, posY + 1)\r\n ) {\r\n probability[posX][posY] = 0;\r\n }\r\n \r\n // 0 points if a shot has already been placed\r\n if (Field.Fieldelements.WATER != fieldUser.getFieldStatus(posX, posY) &&\r\n Field.Fieldelements.SHIP != fieldUser.getFieldStatus(posX, posY)) {\r\n probability[posX][posY] = 0;\r\n }\r\n }\r\n }\r\n \r\n // calculate sum of all points\r\n // TODO check if probability must be smaller numbers\r\n for (int posX = 0; posX < sizeX; sizeX++) {\r\n for (int posY = 0; posY < sizeY; posY++) {\r\n sumProbability += probability[posX][posY];\r\n }\r\n }\r\n \r\n // random element\r\n Random random = new Random();\r\n sumProbability = random.nextInt((int) --sumProbability);\r\n sumProbability++; // must at least be 1\r\n int posY = -1;\r\n int posX = -1;\r\n while (posY < sizeY - 1 && sumProbability >= 0) {\r\n posY++;\r\n posX = -1;\r\n while (posX < sizeX && sumProbability >= 0) {\r\n posX++;\r\n sumProbability = sumProbability - probability[posX][posY];\r\n }\r\n }\r\n return fieldUser.shoot(posX, posY);\r\n }", "@Test(timeout = 4000)\n public void test194() throws Throwable {\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n Vector<Integer> vector0 = new Vector<Integer>();\n resultMatrixSignificance0.m_HeaderKeys = vector0;\n vector0.add((Integer) 0);\n int int0 = ResultMatrix.SIGNIFICANCE_WIN;\n resultMatrixSignificance0.getRevision();\n resultMatrixSignificance0.getVisibleRowCount();\n int[] intArray0 = new int[3];\n intArray0[0] = 1;\n intArray0[1] = 1;\n intArray0[2] = 0;\n resultMatrixSignificance0.m_RowOrder = intArray0;\n resultMatrixSignificance0.setSignificanceWidth(1);\n resultMatrixSignificance0.getSignificance(1, 322);\n assertEquals(1, resultMatrixSignificance0.getSignificanceWidth());\n }", "private static List<String[]> fingerprint_simple(String prefix, int[][] image, int jitter) {\n\n List<String[]> fingerprint = Lists.newArrayList();\n for (int x = 0; x < image.length; x++) {\n for (int y = 0; y < image[x].length; y++) {\n\n String fieldName = prefix + \"_\" + x + \"_\" + y;\n int n = 0;\n if (image[x][y] > 0) {\n n = (int) ((image[x][y] / 255.0) * 8) + 1;\n }\n fingerprint.add(new String[] { fieldName, String.valueOf(n) });\n if (n != 0 && jitter > 0) {\n for (int i = Math.min(1, n - jitter); i < Math.max(9, n + jitter); i++) {\n if (i != n) {\n fingerprint.add(new String[] { fieldName, String.valueOf(i) });\n }\n }\n }\n }\n }\n return fingerprint;\n }", "@BeforeClass\n\tpublic static void setUpBeforeClass() throws Exception {\n\t\tSystem.setProperty(\"it.polito.dp2.NFFG.NffgVerifierFactory\", \"it.polito.dp2.NFFG.Random.NffgVerifierFactoryImpl\");\n\t\treferenceNffgVerifier = NffgVerifierFactory.newInstance().newNffgVerifier();\n\n\t\t// set referenceNFFG\n\t\tif(referenceNffgVerifier.getNffgs().size()!=0){\n\t\t\tTreeSet<NffgReader> rts = new TreeSet<NffgReader>(new NamedEntityReaderComparator());\n\t\t\trts.addAll(referenceNffgVerifier.getNffgs());\n\t\t\tIterator<NffgReader> iter = rts.iterator();\n\t\t\tboolean found=false;\n\t\t\t// look for nffg with at least one policy\n\t\t\twhile(iter.hasNext() && !found) {\n\t\t\t\treferenceNFFG = iter.next();\n\t\t\t\tSet<PolicyReader> policies = referenceNffgVerifier.getPolicies(referenceNFFG.getName());\n\t\t\t\tif (policies.size()>0) {\n\t\t\t\t\tTreeSet<PolicyReader> pts = new TreeSet<PolicyReader>(new NamedEntityReaderComparator());\n\t\t\t\t\tpts.addAll(policies);\n\t\t\t\t\tIterator<PolicyReader> pIter = pts.iterator();\n\t\t\t\t\treferencePolicy = (ReachabilityPolicyReader) pIter.next();\n\t\t\t\t\tfound=true;\n\t\t\t\t}\n\t\t\t}\n\t\t\tassertEquals(\"Tests cannot run. Please choose another seed.\",found,true);\n\t\t}\n\t\t\n\t\t// read testcase property\n\t\tLong testcaseObj = Long.getLong(\"it.polito.dp2.NFFG.Random.testcase\");\n\t\tif (testcaseObj == null)\n\t\t\ttestcase = 0;\n\t\telse\n\t\t\ttestcase = testcaseObj.longValue();\n\n\t}", "public void testDifferentDotProducts() {\n List<ISpectrum> spectra = ClusteringTestUtilities.readISpectraFromResource();\n\n ISpectrum[] spectrums = (ISpectrum[]) spectra.toArray();\n\n int total = 0;\n int different = 0;\n ISimilarityChecker checker = new FrankEtAlDotProduct(0.5F, 15, true);\n ISimilarityChecker currentChecker = new FrankEtAlDotProductJohannes();\n\n Set<String> interestingIds = new HashSet<>();\n\n\n for (int i = 0; i < spectrums.length; i++) {\n ISpectrum psm1 = spectrums[i];\n for (int j = i + 1; j < spectrums.length; j++) {\n ISpectrum psm2 = spectrums[j];\n double dotOrg = checker.assessSimilarity(psm1, psm2);\n double dotNew = currentChecker.assessSimilarity(psm1, psm2);\n\n if (Math.abs(dotOrg - dotNew) > 0.00001) {\n different++;\n\n StringBuilder usedPeaksTester = new StringBuilder();\n\n // these are the really interesting cases\n dotOrg = checker.assessSimilarity(psm1, psm2);\n\n double noClosestPeak = dotNew;\n dotNew = currentChecker.assessSimilarity(psm1, psm2);\n String id2 = psm2.getId();\n String id1 = psm1.getId();\n interestingIds.add(id1);\n interestingIds.add(id2);\n\n // System.out.println(usedPeaksTester.toString());\n // System.out.printf(id2 + \":\" + id1 + \" \" + \"Old: %8.3f Newx: %8.3f New: %8.3f\\tDiff: %8.3f\\n\", dotOrg, noClosestPeak, dotNew, dotOrg - dotNew);\n }\n total++;\n\n }\n\n }\n\n List<String> sorted = new ArrayList<>(interestingIds);\n Collections.sort(sorted);\n // System.out.println(\"Interesting Ids\");\n for (String s : sorted) {\n // System.out.println(s);\n }\n\n\n TestCase.assertEquals(0, different);\n }", "public void testDangerSigns() {\n \t// 1. Execute the Classification rule engine to determine patient classifications\n \t// 2. Execute the Treatment rule engine to determine patient treatments\n \texecuteRuleEngines();\n \n // 3. Has the correct number of classifications been determined?\n assertEquals(\"the actual number of patient classifications does not match the expected number\",\n \t\t 2, CcmRuleEngineUtilities.calculateStandardClassificationNumber(getPatientAssessment().getDiagnostics()));\n \n // 4. Have the correct classifications been determined?\n assertEquals(\"incorrect classification assessed\", true, CcmRuleEngineUtilities.classificationPresent(getPatientAssessment().getDiagnostics(), \"Cough for 21 Days or more\"));\n assertEquals(\"incorrect classification assessed\", true, CcmRuleEngineUtilities.classificationPresent(getPatientAssessment().getDiagnostics(), \"Not Able to Drink or Feed Anything\"));\n \n // 5. Have the correct treatments been determined?\n assertEquals(\"incorrect treatment assessed\", true, CcmRuleEngineUtilities.treatmentPresent(getPatientAssessment().getDiagnostics(), \"REFER URGENTLY to health facility\"));\n assertEquals(\"incorrect treatment assessed\", true, CcmRuleEngineUtilities.treatmentPresent(getPatientAssessment().getDiagnostics(), \"Explain why child needs to go to health facility\"));\n assertEquals(\"incorrect treatment assessed\", true, CcmRuleEngineUtilities.treatmentPresent(getPatientAssessment().getDiagnostics(), \"Advise to keep child warm, if 'child is NOT hot with fever'\"));\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t \n assertEquals(\"incorrect treatment assessed\", true, CcmRuleEngineUtilities.treatmentPresent(getPatientAssessment().getDiagnostics(), \"Write a referral note\"));\n assertEquals(\"incorrect treatment assessed\", true, CcmRuleEngineUtilities.treatmentPresent(getPatientAssessment().getDiagnostics(), \"Arrange transportation and help solve other difficulties in referral\"));\n }", "private void evaluateProbabilities()\n\t{\n\t}", "@Test\n\tpublic void testNoCollapseByEditDistance() {\n\t\tString cellBC = \"ATCAGGGACAGA\";\n\t\tString molBC = \"CGGGGCTC\";\n\t\tint snpPos = 76227022;\n\t\tInterval snpInterval = new Interval(\"HUMAN_1\", snpPos, snpPos, true, \"test\");\n\t\tSampleGenotypeProbabilities result = new SampleGenotypeProbabilities(snpInterval, cellBC);\n\t\tSNPUMIBasePileup p = getPileUpFromFile(cellBC, molBC);\n\t\tresult.add(p);\n\n\t\t// let's add another pileup in nowhere near the ED\n\t\t// result has 2 different bases for the two pileups.\n\t\tString molBC2 = \"ZZZZZZZZ\";\n\t\tSNPUMIBasePileup p2 = getPileUpFromFile(cellBC, molBC2);\n\t\tchar[] b2 = { 'G', 'G', 'T' };\n\t\tbyte[] bases2 = new byte[b2.length];\n\t\tStringUtil.charsToBytes(b2, 0, b2.length, bases2, 0);\n\t\tbyte[] quals2 = { 37, 37, 10 };\n\t\tp2.setBasesAndQualities(bases2, quals2);\n\t\tresult.add(p2);\n\t\tresult.collapseUMIs(1);\n\n\t\tList<Byte> qualResult2 = result.getQualities();\n\t\tAssert.assertEquals(qualResult2.size(), 2);\n\t\tAssert.assertEquals(new Byte((byte) 31), qualResult2.get(0));\n\t\tAssert.assertEquals(new Byte((byte) 5), qualResult2.get(1));\n\t}", "@Test\n\tpublic void testFastSuggestPieceMessage() throws Exception {\n\n\t\t// Given\n\t\tfinal PieceDatabase pieceDatabase = MockPieceDatabase.create (\"00000\", 16384);\n\t\tpieceDatabase.start (true);\n\t\tfinal BlockDescriptor requestDescriptor = new BlockDescriptor (2, 0, 16384);\n\t\tPeerServices peerServices = mock (PeerServices.class);\n\t\tPeerSetContext peerSetContext = new PeerSetContext (peerServices, pieceDatabase, mock (RequestManager.class), null);\n\t\twhen(peerSetContext.requestManager.piecesAvailable (any (ManageablePeer.class))).thenReturn (true);\n\t\twhen(peerSetContext.requestManager.allocateRequests (any (ManageablePeer.class), anyInt(), eq (true))).thenReturn (new ArrayList<BlockDescriptor>());\n\t\twhen(peerSetContext.requestManager.allocateRequests (any (ManageablePeer.class), anyInt(), eq (false))).thenReturn (Arrays.asList (new BlockDescriptor[] { requestDescriptor }));\n\t\tMockConnection mockConnection = new MockConnection();\n\t\tPeerHandler handler = new PeerHandler (peerSetContext, mockConnection, new PeerID(), new PeerStatistics(), true, false);\n\n\t\t// When\n\t\t// They suggest a piece and unchoke\n\t\tmockConnection.mockInput (PeerProtocolBuilder.haveAllMessage());\n\t\tmockConnection.mockInput (PeerProtocolBuilder.suggestPieceMessage (2));\n\t\tmockConnection.mockInput (PeerProtocolBuilder.unchokeMessage());\n\t\thandler.connectionReady (mockConnection, true, true);\n\n\t\t// Then\n\t\tmockConnection.mockExpectOutput (PeerProtocolBuilder.haveNoneMessage());\n\t\tmockConnection.mockExpectOutput (PeerProtocolBuilder.interestedMessage());\n\t\tmockConnection.mockExpectOutput (PeerProtocolBuilder.requestMessage (requestDescriptor));\n\t\tmockConnection.mockExpectNoMoreOutput();\n\t\tverify(peerSetContext.requestManager).pieceSuggested (handler, 2);\n\t\tassertTrue (mockConnection.isOpen());\n\n\n\t\tpieceDatabase.terminate (true);\n\n\t}", "public void evaluate_anti_fixedpoint() {\n // DES_action_type = 0;\n // JOptionPane.showMessageDialog(null, \"Evaluating the Anti-FP && Action-Type = \" +\n // DES_action_type);\n int[] last2_anti_fixedpoint_rounds = new int[64];\n for (int i = 0; i < 32; i++) {\n last2_anti_fixedpoint_rounds[i] = DES_anti_fixedpoint_sequence[9][i];\n last2_anti_fixedpoint_rounds[32 + i] = DES_anti_fixedpoint_sequence[8][i];\n }\n DES_anti_fixedpoint = select(last2_anti_fixedpoint_rounds, FP);\n\n for (int i = 0; i < 64; i++)\n DES_anti_fixedpoint[i] = 1 ^ DES_anti_fixedpoint[i];\n }", "@Test(groups ={Slingshot,Regression,SubmitMeterRead})\npublic void verifyMeterByMeterpointreference()\n{\t\t\n\t Report.createTestLogHeader(\"Submit Meter Read\", \"Verify whether Single Search result is getting displayed while giving valid MPRN in search field\");\n\tSMRAccountDetails smrProfile = new TestDataHelper().getAllSMRUserProfile(\"GlobalSMRUserMultiMeters\");\n\tnew SubmitMeterReadAction()\n\t\n\t.BgbnavigateToLogin()\n .BgbloginDetails(smrProfile)\n .BgbverifyAfterLogin()\n .clickSubmitMeterReadLink()\n .searchByMeterpointreference(smrProfile)\n \t.enterGlobalMeterDials(smrProfile)\n\t.verifyMeterReadConfirmationTitle()\n\t.verifyAuditLeadTable(smrProfile);\n}", "@Test\n public void test35() throws Throwable {\n TextDirectoryLoader textDirectoryLoader0 = new TextDirectoryLoader();\n Instances instances0 = textDirectoryLoader0.getDataSet();\n Evaluation evaluation0 = new Evaluation(instances0);\n double double0 = evaluation0.pctUnclassified();\n assertEquals(0.0, evaluation0.SFPriorEntropy(), 0.01D);\n assertEquals(Double.NaN, double0, 0.01D);\n }", "@Test\n public void testStationaryDistributionRevQuick()\n {\n IDoubleArray T = null;\n MarkovModelUtilities instance = new MarkovModelUtilities();\n IDoubleArray expResult = null;\n IDoubleArray result = instance.stationaryDistributionRevQuick(T);\n assertEquals(expResult, result);\n // TODO review the generated test code and remove the default call to fail.\n fail(\"The test case is a prototype.\");\n }", "@Test\n public void testMultiplePasspointCandidatesWithSameFQDN() {\n // Create a Passpoint WifiConfig\n WifiConfiguration config1 = WifiConfigurationTestUtil.createPasspointNetwork();\n mScanResult2.BSSID = mScanResult1.BSSID.replace('1', '2');\n // Add candidates with different scanDetail for same passpoint WifiConfig.\n assertTrue(mWifiCandidates.add(mScanDetail1, config1, 2, 0.0, false, 100));\n assertTrue(mWifiCandidates.add(mScanDetail2, config1, 2, 0.0, false, 100));\n // Both should survive and no faults.\n assertEquals(2, mWifiCandidates.size());\n assertEquals(0, mWifiCandidates.getFaultCount());\n }", "@Test\n public void testClaimMedaProv6() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setMedaProv6,\n RdaFissClaim::getMedaProv_6,\n RdaFissClaim.Fields.medaProv_6,\n 6);\n }", "@Test\n public void testStationaryDistribution()\n {\n try\n {\n IDoubleArray T = Doubles.create.fromFile(inputT1);\n IDoubleArray expResult = Doubles.create.fromFile(inputT1_pi); \n IDoubleArray pi = MarkovModel.util.stationaryDistribution(T);\n assertEqual(pi, expResult, 1e-5);\n }\n catch(IOException e)\n {\n \n e.printStackTrace();\n }\n // TODO review the generated test code and remove the default call to fail.\n //fail(\"The test case is a prototype.\");\n }", "@Test\n @Tag(\"slow\")\n public void testGFRD_PNC() {\n CuteNetlibCase.doTest(\"GFRD-PNC.SIF\", \"6902235.999548811\", null, NumberContext.of(7, 4));\n }", "public void countHumanProteins() throws Exception {\n // Get the human proteins accession numbers in UniProts\n UniProtAnalyzer uniAnalyzer = new UniProtAnalyzer();\n Map<String, String> uniAccIDsMap = uniAnalyzer.loadUniProtIDsMap();\n // TREMBL \n //fileName = DATASET_DIR + \"UniProt\" + File.separator + \"uniprot_trembl_human.dat\";\n //processUniProtIds(fileName, uniProtIds);\n System.out.println(\"Total UniProt: \" + uniAccIDsMap.size());\n // Panther map file: Pathway Component to UniProt IDs\n String fileName = DATASET_DIR + \"Panther\" + File.separator + \"SequenceAssociationPathway1.13\";\n FileReader fileReader = new FileReader(fileName);\n BufferedReader bufferedReader = new BufferedReader(fileReader);\n String line = null;\n String[] tokens = null;\n Set<String> pantherIds = new HashSet<String>();\n Set<String> nonredundantIds = new HashSet<String>();\n String uniID = null;\n while ((line = bufferedReader.readLine()) != null) {\n tokens = line.split(\"\\t\");\n uniID = tokens[4];\n if (uniAccIDsMap.containsKey(uniID)) {\n pantherIds.add(uniID);\n nonredundantIds.add(uniAccIDsMap.get(uniID));\n }\n }\n System.out.println(\"UniProt in Panther: \" + pantherIds.size());\n System.out.println(\"UnitProt in Panther (nonredundant): \" + nonredundantIds.size());\n // Check how many panther ids have been in the Reactome already\n// Set<String> reactomeIds = loadReactomeIds();\n// int c = 0;\n// for (String id : pantherIds) {\n// if (reactomeIds.contains(id))\n// c++;\n// }\n// System.out.println(\"Panther ID in Reactome: \" + c);\n }", "@Test(timeout = 4000)\n public void test14() throws Throwable {\n SystemInUtil.addInputLine(\"UN..Ex0IyC7\");\n JSTerm jSTerm0 = new JSTerm();\n JSSubstitution jSSubstitution0 = new JSSubstitution();\n jSTerm0.add((Object) \"[aT&d;~c\\\"\");\n JSPredicateForm jSPredicateForm0 = jSTerm0.applySubstitutionPF(jSSubstitution0);\n JSTerm jSTerm1 = new JSTerm();\n jSTerm1.add((Object) jSPredicateForm0);\n jSTerm0.add((Object) jSTerm1);\n JSPredicateForm jSPredicateForm1 = jSTerm0.clonePF();\n JSPredicateForm jSPredicateForm2 = jSPredicateForm1.standarizerPredicateForm();\n Consumer<Object> consumer0 = (Consumer<Object>) mock(Consumer.class, new ViolatedAssumptionAnswer());\n jSPredicateForm2.forEach(consumer0);\n SystemInUtil.addInputLine(\"[aT&d;~c\\\"\");\n SystemInUtil.addInputLine(\"7'GUR\");\n SystemInUtil.addInputLine(\"PL^\\\"T$L:8.ammp}+R{\");\n JSPredicateForm jSPredicateForm3 = new JSPredicateForm();\n Integer integer0 = new Integer((-1529));\n jSPredicateForm0.add((Object) integer0);\n jSPredicateForm1.print();\n System.setCurrentTimeMillis((-1018L));\n }", "public void initializeExperimentPerturbations(DoubleMatrix1D conditionPerturbation) {\n\t\t\n\t\tLinkedHashMap<String, PerturbationDrug> drugPerturbationLookup = compendium_.getDrugPerturbationLookup();\n\t\t\n\t\tPerturbationMixed pertReference = new PerturbationMixed(grn_);\n\t\tpertReference.addToDeltaBasalActivation(conditionPerturbation, 1);\n\t\t\n\t\t//ssReference_ = new SteadyStateExperiment(Solver.type.ODE, pertReference, \"Condition \" + globalConditionId_ + \": reference\");\n\t\t//ssReference_.setGrn(grn_);\n\t\t\n\t\tfor (int e=0; e<experiments_.size(); e++) {\n\t\t\tExperiment exp = experiments_.get(e);\n\t\t\tExperimentDefinition def = exp.getDefinition();\n\t\t\t\n\t\t\t// Create the perturbation and add it to the experiment\n\t\t\tPerturbationMixed pert = new PerturbationMixed(grn_);\n\t\t\texp.setPerturbation(pert);\n\t\t\t\n\t\t\t// Add the perturbation associated with this condition\n\t\t\tpert.addToDeltaBasalActivation(conditionPerturbation, 1);\n\t\t\t\n\t\t\t// Add drug perturbations\n\t\t\tif (def.isDrugPerturbation()) {\n\t\t\t\tString[] drugs = def.getPerturbationVariables();\n\t\t\t\tArrayList<Double> levels = def.getPerturbationLevels();\n\n\t\t\t\tassert levels.get(0) == -1 \|\| levels.size() == drugs.length;\n\t\t\t\t\n\t\t\t\tfor (int i=0; i<drugs.length; i++) {\n\t\t\t\t\tDoubleMatrix1D drugPerturbation = drugPerturbationLookup.get(drugs[i]).getPerturbations().viewRow(0);\n\t\t\t\t\tdouble level = 1;\n\t\t\t\t\tif (levels.get(0) != -1)\n\t\t\t\t\t\tlevel = levels.get(i);\n\t\t\t\t\t\n\t\t\t\t\t// Levels must be normalized at this point\n\t\t\t\t\tpert.addToDeltaBasalActivation(drugPerturbation, level);\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\t// Add genetic perturbations\n\t\t\tString[] deletions = def.getDeletedGenes();\n\t\t\tString[] overexpressions = def.getOverexpressedGenes();\n\t\t\t\n\t\t\tif (!deletions[0].equals(\"\")) {\n\t\t\t\tfor (int i=0; i<deletions.length; i++) {\n\t\t\t\t\tdeletions[i] = getSubstitute(deletions[i]);\n\t\t\t\t\tpert.addGeneticPerturbation(deletions[i], true);\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t\tif (!overexpressions[0].equals(\"\")) {\n\t\t\t\tfor (int i=0; i<overexpressions.length; i++) {\n\t\t\t\t\toverexpressions[i] = getSubstitute(overexpressions[i]);\n\t\t\t\t\tpert.addGeneticPerturbation(overexpressions[i], false);\n\t\t\t\t}\n\t\t\t}\n\t\t\t\n\t\t}\n\t}", "@Test\n\tpublic void testNormalPuzzleGeneration() {\n\t}", "@Test\n public void testClaimOthPhysFname() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setOthPhysFname,\n RdaFissClaim::getOthPhysFname,\n RdaFissClaim.Fields.othPhysFname,\n 18);\n }", "public static void testNewBBFArchitecture(){\n\t\t\n\t\tString outputDir = \"E:\\\\testing\\\\Java Backbone Fitting\\\\test orientation fix\\\\\";\n\t\tString inputFileName = outputDir+\"Berlin@Berlin_2NDs_B_Square_SW_96-160_201411201541.prejav\";\n\t\t\t\n\t\tExperiment ex = new Experiment(inputFileName);\n\t\t\n\t\t\n\t\tBackboneFitter bbf = new BackboneFitter(ex.getTrackFromInd(50));\n\t\tbbf.fitTrack();\n\t\t\n\t\tBackboneFitter bbfOld = new BackboneFitter();\n\t\t///method no longer exists\n\t\t//bbfOld.fitTrack(ex.getTrackFromInd(50));\n\t\t///\n\t\t\n\t\tSystem.out.println(\"Done\");\n\t}", "private float testMethod() {\n {\n int lI0 = (-1456058746 << mI);\n mD = ((double)(int)(double) mD);\n for (int i0 = 56 - 1; i0 >= 0; i0--) {\n mArray[i0] &= (Boolean.logicalOr(((true ? ((boolean) new Boolean((mZ))) : mZ) \|\| mArray[i0]), (mZ)));\n mF = (mF mF);\n if ((mZ ^ true)) {\n mF = ((float)(int)(float) 267827331.0f);\n mZ ^= ((false & ((boolean) new Boolean(false))) \| mZ);\n for (int i1 = 576 - 1; i1 >= 0; i1--) {\n mZ &= ((mArray[279]) \| ((boolean) new Boolean(true)));\n mD -= (--mD);\n for (int i2 = 56 - 1; i2 >= 0; i2--) {\n mF /= (mF - mF);\n mI = (Math.min(((int) new Integer(mI)), (766538816 (++mI))));\n mF += (mZ ? (mB.a()) : ((! mZ) ? -752042357.0f : (++mF)));\n mJ \|= ((long) new Long((-2084191070L + (mJ \| mJ))));\n lI0 \|= ((int) new Integer(((int) new Integer(mI))));\n if (((boolean) new Boolean(false))) {\n mZ &= (mZ);\n mF = (mF--);\n mD = (Double.POSITIVE_INFINITY);\n mF += ((float)(int)(float) (-2026938813.0f 638401585.0f));\n mJ = (--mJ);\n for (int i3 = 56 - 1; i3 >= 0; i3--) {\n mI &= (- mI);\n mD = (--mD);\n mArray[426] = (mZ \|\| false);\n mF -= (((this instanceof Main) ? mF : mF) + 976981405.0f);\n mZ &= ((mZ) & (this instanceof Main));\n }\n mZ ^= (Float.isFinite(-1975953895.0f));\n } else {\n mJ /= ((long) (Math.nextDown(-1519600008.0f)));\n mJ <<= (Math.round(1237681786.0));\n }\n }\n mArray[i0] &= (false \|\| ((1256071300.0f != -353296391.0f) ? false : (mZ ^ mArray[i0])));\n mF = (+ ((float) mD));\n for (int i2 = 0; i2 < 576; i2++) {\n mD = ((double) lI0);\n lI0 = (lI0 & (Integer.MIN_VALUE));\n mF -= (--mF);\n }\n if ((this instanceof Main)) {\n mZ ^= ((boolean) new Boolean(true));\n } else {\n {\n int lI1 = (mZ ? (--lI0) : 1099574344);\n mJ >>= (Math.incrementExact(mJ));\n mJ = (~ -2103354070L);\n }\n }\n }\n } else {\n mJ = (- ((long) new Long(479832084L)));\n mJ %= (Long.MAX_VALUE);\n mD /= (--mD);\n if ((mI > ((mBX.x()) << mI))) {\n {\n long lJ0 = (mJ--);\n mI >>>= (mBX.x());\n }\n mF = (+ 505094603.0f);\n mD = (((boolean) new Boolean((! false))) ? mD : 1808773781.0);\n mI = (Integer.MIN_VALUE);\n for (int i1 = 576 - 1; i1 >= 0; i1--) {\n if (((boolean) new Boolean(false))) {\n mD += ((double)(float)(double) -1051436901.0);\n } else {\n mF -= ((float)(int)(float) (Float.min(mF, (mF--))));\n }\n for (int i2 = 0; i2 < 576; i2++) {\n mJ -= ((long) new Long(-1968644857L));\n mJ ^= (+ (mC.s()));\n }\n }\n } else {\n mF -= ((- mF) + -2145489966.0f);\n }\n mD -= (mD++);\n mD = (949112777.0 1209996119.0);\n }\n mZ &= (Boolean.logicalAnd(true, ((mZ) & (((boolean) new Boolean(true)) && true))));\n }\n }\n return ((float) 964977619L);\n }", "@Test void noisy() {\n\t\tstandardScene();\n\t\tsimulateScene(0);\n\n\t\tvar alg = new DistanceMetricTripleReprojection23();\n\n\t\tvar model = new MetricCameraTriple();\n\t\tmodel.view1.setTo(cameraA);\n\t\tmodel.view2.setTo(cameraB);\n\t\tmodel.view3.setTo(cameraC);\n\t\tmodel.view_1_to_2.setTo(truthView_1_to_i(1));\n\t\tmodel.view_1_to_3.setTo(truthView_1_to_i(2));\n\n\t\tmodel.view3.fx += 40; // this will mess things up a bit\n\n\t\talg.setModel(model);\n\n\t\tvar set = observations3.subList(0, 20);\n\t\tvar distances = new double[set.size()];\n\t\talg.distances(set, distances);\n\t\tfor (int i = 0; i < distances.length; i++) {\n\t\t\tassertTrue(distances[i] != 0.0);\n\t\t\tassertEquals(distances[i], alg.distance(set.get(i)), UtilEjml.TEST_F64);\n\t\t}\n\t}", "@Test(timeout = 4000)\n public void test135() throws Throwable {\n ResultMatrixGnuPlot resultMatrixGnuPlot0 = new ResultMatrixGnuPlot();\n int[][] intArray0 = new int[7][8];\n int[] intArray1 = new int[0];\n intArray0[1] = intArray0[0];\n int[] intArray2 = new int[0];\n intArray0[2] = intArray2;\n int[] intArray3 = new int[6];\n intArray3[1] = 0;\n String string0 = resultMatrixGnuPlot0.doubleToString(0, 0);\n assertEquals(\"0.\", string0);\n \n intArray3[2] = 2;\n ResultMatrixSignificance resultMatrixSignificance0 = new ResultMatrixSignificance();\n resultMatrixSignificance0.getRevision();\n int int0 = ResultMatrix.SIGNIFICANCE_TIE;\n int int1 = resultMatrixSignificance0.getSignificance(2469, 0);\n assertEquals(2, resultMatrixSignificance0.getMeanPrec());\n assertEquals(1, resultMatrixSignificance0.getRowCount());\n assertEquals(0, int1);\n assertEquals(1, resultMatrixSignificance0.getVisibleColCount());\n }", "@LargeTest\n public void testFisheyeApproximateFull() {\n TestAction ta = new TestAction(TestName.FISHEYE_APPROXIMATE_FULL);\n runTest(ta, TestName.FISHEYE_APPROXIMATE_FULL.name());\n }", "@Test\n public void testClaimProvEmerInd() {\n new ClaimFieldTester()\n .verifyStringFieldCopiedCorrectly(\n FissClaim.Builder::setProvEmerInd,\n RdaFissClaim::getProvEmerInd,\n RdaFissClaim.Fields.provEmerInd,\n 1);\n }", "@MediumTest\n public void test_1314_3() throws Exception {\n String imagePath = Environment.getExternalStorageDirectory()+\"/LeCoder_Image/if_without_false.png\";\n //Load the file and process it\n activity.loadImageFile(imagePath);\n activity.processImage();\n //Generate the nodes and construct the graph\n activity.generateNodes();\n activity.generateGraph();\n //Print all nodes\n activity.printAllNodes();\n //Check whether the flowchart has no start point\n assertFalse(activity.checkAllNodes());\n }", "@Test\n public void testGenome() {\n\n this.genomeBList.add(this.chromB1);\n this.genomeBList.add(this.chromB2);\n this.genomeBList.add(this.chromB3);\n this.genomeBList.add(this.chromB4);\n\n this.genomeB = new Genome(this.genomeBList);\n this.addHPDataB = new AdditionalDataHPDistance(this.genomeB);\n\n Assert.assertTrue(this.genomeB.getGenome().size() == 4);\n Assert.assertTrue(this.genomeB.getNumberOfChromosomes() == 4);\n Assert.assertTrue(this.genomeB.getNumberOfGenes() == 9);\n Assert.assertTrue(this.genomeB.getChromosome(1).getGenes()[1] == 6);\n Assert.assertTrue(this.genomeB.getChromosome(0).getSize() == 4);\n Assert.assertTrue(this.genomeB.getGenome().get(1).getGenes()[1] == 6);\n\n // Assert.assertTrue(this.addHPDataB.getGenomeAsArray().length == 17);\n // Assert.assertTrue(this.addHPDataB.getGenomeAsArray()[0] == 1);\n // Assert.assertTrue(this.addHPDataB.getGenomeAsArray()[8] == 9);\n\n Assert.assertTrue(this.addHPDataB.getGenomeCappedPlusArray().length == 17);\n Assert.assertTrue(this.addHPDataB.getGenomeCappedPlusArray()[0] == 0);\n Assert.assertTrue(this.addHPDataB.getGenomeCappedPlusArray()[8] == 6);\n\n Assert.assertTrue(this.addHPDataB.getGenomeCappedMinusArray().length == 17);\n Assert.assertTrue(this.addHPDataB.getGenomeCappedMinusArray()[0] == -10);\n Assert.assertTrue(this.addHPDataB.getGenomeCappedMinusArray()[8] == 6);\n\n }", "public boolean reproducirse() {\n r = new Random();\r\n return Float.compare(r.nextFloat(), probReproducirse) <= 0;\r\n }" ]	[ "0.7078415", "0.68263966", "0.61688286", "0.5299206", "0.5180532", "0.5154093", "0.5146689", "0.5141612", "0.50238025", "0.5013609", "0.49934316", "0.4986498", "0.49582377", "0.49389556", "0.49304208", "0.48778608", "0.4875811", "0.48725605", "0.48664948", "0.48505616", "0.48247096", "0.481093", "0.47773883", "0.47436142", "0.47364482", "0.47196826", "0.47092265", "0.4703819", "0.47017166", "0.4700648", "0.4675115", "0.4675115", "0.4675115", "0.46656618", "0.46599182", "0.46511647", "0.46472102", "0.46348062", "0.46140978", "0.4602503", "0.4594769", "0.45914757", "0.45790187", "0.45620167", "0.45611584", "0.45591396", "0.45534903", "0.45475972", "0.4545567", "0.45439756", "0.45405227", "0.45354936", "0.4532822", "0.45311868", "0.45237386", "0.45224953", "0.45109332", "0.45039457", "0.4492863", "0.44733727", "0.44679657", "0.44642487", "0.44553506", "0.44499582", "0.4448328", "0.44392097", "0.44242948", "0.44140756", "0.44120237", "0.4411194", "0.4405183", "0.4400596", "0.43946657", "0.43886843", "0.43850386", "0.43786663", "0.43734878", "0.43726593", "0.436813", "0.43677908", "0.43675318", "0.43652457", "0.43590665", "0.4356528", "0.43560833", "0.43446714", "0.43427554", "0.43403533", "0.4333879", "0.43311384", "0.43306193", "0.432696", "0.43199897", "0.43127128", "0.43078882", "0.4304653", "0.4301972", "0.43012404", "0.42993203", "0.42979166" ]	0.8801367	0
Obtiene el elemento que hay en la cima y lo elimina de la pila.	public T pop();	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void removerFinal() {\n switch (totalElementos()) {\n case 0:\n System.out.println(\"lista esta vazia\");\n break;\n case 1:\n this.primeiro = this.ultimo = null;\n this.total--;\n break;\n default:\n ElementoLista elementoTemporarioAnteriorAtual = this.primeiro;\n ElementoLista elementoTemporarioAtual = this.primeiro.irParaProximo();\n for (int i = 1; i < totalElementos(); i++) {\n elementoTemporarioAnteriorAtual = elementoTemporarioAtual;\n elementoTemporarioAtual = elementoTemporarioAtual.irParaProximo();\n }\n\n this.ultimo = elementoTemporarioAnteriorAtual;\n this.ultimo.definirProximo(null);\n this.total--;\n }\n //this.ultimo = this.ultimo.irParaAnterior();\n //this.ultimo.definirProximo(null);\n }", "public void removerInicio() {\n switch (totalElementos()) {\n case 0:\n System.out.println(\"lista esta vazia\");\n break;\n case 1:\n this.primeiro = this.ultimo = null;\n this.total--;\n break;\n default:\n this.primeiro = this.primeiro.irParaProximo();\n this.total--;\n break;\n }\n }", "public int eliminardelInicio(){\n int elemento = inicio.dato;\n if(inicio == fin){\n inicio=fin=null;\n }else{\n inicio = inicio.sig;\n inicio.ant = null;\n }\n return elemento;\n \n \n }", "public int eliminardelfinal(){\n int elemento=fin.dato;\n if(inicio==fin){\n inicio=fin=null;\n }else{\n fin=fin.anterior;\n fin.siguiente=null;}\n return elemento;\n }", "public void eliminar(){\n inicio = null;\r\n // Reinicia el contador de tamaño de la lista a 0.\r\n tamanio = 0;\r\n }", "public int eliminardelFinal(){\n int elemento = fin.dato;\n if(inicio == fin){\n inicio=fin=null;\n }else{\n fin = fin.ant;\n fin.sig = null;\n }\n return elemento;\n \n \n }", "public void deleteCurrentJoueur(){\n\t\tElement elementPreviousToCurrent = this.getCurrentElement().getPrevious();\n\t\tElement elementNextToCurrent = this.getCurrentElement().getNext();\n\t\t\n\t\telementPreviousToCurrent.setNext(elementNextToCurrent);\n\t\telementNextToCurrent.setPrevious(elementPreviousToCurrent);\n\t\t\n\t\t// l'element suivant devient l'element courant (on passe au suivant)\n\t\tthis.setCurrentElement(this.getCurrentElement().getNext());\n\t}", "public int eliminar() {\n if (estaVacia()) { // si esta vacia\r\n System.out.println(\"La pila esta vacia\"); // mensaje indicando que esta vaci\r\n return -1; // retorno\r\n } else { // si no esta vacia\r\n reducirTamanio(); // ejecutamos el metodo para checar si el tamaño puede ser reducido (ver metodo en linea 58)\r\n return array[top--]; // decrementamos el arreglo\r\n }\r\n }", "public Stack pilaEliminaDatos( Stack pila )\n {\n // Verificamos que la pila no este vacia para eliminar datos\n if (!pila.isEmpty())\n {\n this.imprime(\"Se ha eliminado este elemento ->\" + pila.peek() +\"<- de la pila\");\n pila.pop();\n }\n else\n {\n this.imprime(\"La pila esta vacia, no se pueden eliminar datos\");\n }\n\n return pila;\n }", "private void depurarElementos() {\n\t\tfor(int i=0; i<JuegoListener.elementos.size();i++){\n\t\t\tif (!JuegoListener.elementos.get(i).estaVivo())\n\t\t\t\tJuegoListener.elementos.remove(i);\n\t\t}\n\t\t\n\t}", "public void eliminarcola(){\n Cola_banco actual=new Cola_banco();// se crea un metodo actual para indicar los datos ingresado\r\n actual=primero;//se indica que nuestro dato ingresado va a ser actual\r\n if(primero != null){// se usa una condiccion si nuestro es ingresado es diferente de null\r\n while(actual != null){//se usa el while que recorra la cola indicando que actual es diferente de null\r\n System.out.println(\"\"+actual.nombre);// se imprime un mensaje con los datos ingresado con los datos ingresado desde el teclado\r\n actual=actual.siguiente;// se indica que el dato actual pase a ser igual con el apuntador siguente\r\n }\r\n }else{// se usa la condicion sino se cumple la condicion\r\n System.out.println(\"\\n la cola se encuentra vacia\");// se indica al usuario que la cola esta vacia\r\n }\r\n }", "@Override\r\n\t\t\tpublic void eliminar() {\n\r\n\t\t\t}", "public Object quitar() {\r\n if (primero == null)\r\n return null;\r\n Object o = primero.elem;\r\n primero = primero.Next;\r\n tamaño--;\r\n return o;\r\n }", "@Override\n\tpublic void eliminar() {\n\t\t\n\t}", "public void eliminarBodegaActual(){\n Nodo_bodega_actual.obtenerAnterior().definirSiguiente(Nodo_bodega_actual.obtenerSiguiente());\n if(Nodo_bodega_actual.obtenerSiguiente() != null){\n Nodo_bodega_actual.obtenerSiguiente().definirAnterior(Nodo_bodega_actual.obtenerAnterior());\n } \n }", "@Override\n\tpublic void eliminar() {\n\n\t}", "public void VaciarPila() {\r\n while (!PilaVacia()) {\r\n EliminarNodo();\r\n }\r\n }", "public void pop(){\n if(!(pilha.isEmpty())){\n pilha.remove(pilha.size()-1);\n }\n }", "public void remove() {\n\n\t\t\tsuprimirNodo(anterior);\n\n\t\t}", "public void removeElement(klasse o) {\n int i = indexOf(o);\n if (i < 0) return;\n O[i] = null;\n ON--;\n if (Gap < 0 \|\| Gap > i) Gap = i;\n if (i == OLast - 1) OLast--;\n while (OLast > 0 && O[OLast - 1] == null) OLast--;\n if (Gap >= OLast) Gap = -1;\n }", "public void EliminarElmento(int el) throws Exception{\n if (!estVacia()) {\n if (inicio == fin && el == inicio.GetDato()) {\n inicio = fin = null;\n } else if (el == inicio.GetDato()) {\n inicio = inicio.GetSiguiente();\n } else {\n NodoDoble ante, temporal;\n ante = inicio;\n temporal = inicio.GetSiguiente();\n while (temporal != null && temporal.GetDato() != el) {\n ante = ante.GetSiguiente();\n temporal = temporal.GetSiguiente();\n }\n if (temporal != null) {\n ante.SetSiguiente(temporal.GetSiguiente());\n if (temporal == fin) {\n fin = ante;\n }\n }\n }\n }else{\n throw new Exception(\"No existen datos por borrar!!!\");\n }\n }", "public void UnDia()\n {\n int i = 0;\n for (i = 0; i < 6; i++) {\n for (int j = animales.get(i).size() - 1; j >= 0; j--) {\n\n if (!procesoComer(i, j)) {\n animales.get(i).get(j).destruir();\n animales.get(i).remove(j);\n } else {\n if (animales.get(i).size() > 0 && j < animales.get(i).size()) {\n\n if (animales.get(i).get(j).reproducirse()) {\n ProcesoReproducirse(i, j);\n }\n if (j < animales.get(i).size()) {\n if (animales.get(i).get(j).morir()) {\n animales.get(i).get(j).destruir();\n animales.get(i).remove(j);\n }\n }\n }\n }\n\n }\n }\n if (krill == 0) {\n Utilidades.MostrarExtincion(0, dia);\n }\n modificarKrill();\n modificarTemperatura();\n ejecutarDesastres();\n for (i = 1; i < animales.size(); i++) {\n if (animales.get(i).size() == 0 && !extintos.get(i)) {\n extintos.set(i, true);\n Utilidades.MostrarExtincion(i, dia);\n }\n }\n dia++;\n System.out.println(dia + \":\" + krill + \",\" + animales.get(1).size() + \",\" + animales.get(2).size() + \",\" + animales.get(3).size() + \",\" + animales.get(4).size() + \",\" + animales.get(5).size());\n }", "public void recolheMao() {\n\t\tcartas[0].visible = false;\n\t\tfor (int i = 4; i <= 15; i++) {\n\t\t\tCartaVisual c = cartas[i];\n\t\t\tif ((c.top != topBaralho) \|\| (c.left != leftBaralho)) {\n\t\t\t\tc.movePara(leftBaralho, topBaralho, 100);\n\t\t\t\tc.setCarta(null);\n\t\t\t\tc.descartada = false;\n\t\t\t\tcartasJogadas.remove(c);\n\t\t\t}\n\t\t}\n\t}", "public void pop() {\n if (cabeza!= null) {\n //SI CABEZA.SIGUENTE ES DISTINTO A NULO\n if (cabeza.siguiente==null) {\n //CABEZA SERA NULO\n cabeza=null; \n //SE IRAN RESTANDO LOS NODOS\n longitud--;\n } else {\n //DE LO CONTRARIO EL PUNTERO SERA IGUAL A CABEZA\n Nodo puntero=cabeza;\n //MIENTRTAS EL PUNTERO SEA DISITINTO A NULO \n while (puntero.siguiente.siguiente!=null) { \n //PUNTYERO SERA IGUAL A LA DIRECCION DEL SIGUIENTE NODO\n puntero=puntero.siguiente;\n }\n puntero.siguiente=null;\n longitud--;\n }\n }\n }", "public void eliminarCompraComic();", "public void eliminarElemento(T dato) {\n\t\tNodeTabla<K, T> nodo = primerElemento;\n\n\t\t// itera los elementos hasta que se acaben o encuentre el elemento\n\t\twhile (nodo != null && !nodo.getElemento().equals(dato)) {\n\t\t\tnodo = nodo.getSiguiente();\n\t\t}\n\n\t\t// se encontro el nodo?\n\t\tif (nodo != null) {\n\t\t\tif (nodo != primerElemento) {\n\t\t\t\t// borra el nodo de la existencia\n\t\t\t\tnodo.getAnterior().setSiguiente(nodo.getSiguiente());\n\t\t\t\tnodo.getSiguiente().setAnterior(nodo.getAnterior());\n\t\t\t} else {\n\t\t\t\tprimerElemento = primerElemento.getSiguiente();\n\t\t\t}\n\t\t\t// baja en uno el tamano\n\t\t\ttamano--;\n\n\t\t} else {\n\t\t\t// Bruh, no esta el nodo\n\t\t\tSystem.out.println(\"No se encontro el elemento a eliminar.\");\n\t\t}\n\n\t}", "public synchronized void eliminar(int nombre){\n\n elemento.remove(nombre);\n \n }", "public Agnello prelevaMontone() {\n\t\tfor (int i=0; i<pecore.size(); i++)\n\t\t\tif ((pecore.get(i) instanceof PecoraAdulta)\n\t\t\t\t\t&& (((PecoraAdulta) pecore.get(i)).isMaschio())) {\n\t\t\t\tnumMontoni--;\n\t\t\t\treturn pecore.remove(i);\n\t\t\t}\n\t\treturn null;\n\t}", "public void removerCarro() {\n\n if (carrosCadastrados.size() > 0) {//verifica se existem carros cadastrados\n listarCarros();\n System.out.println(\"Digite o id do carro que deseja excluir\");\n int idCarro = verifica();\n for (int i = 0; i < carrosCadastrados.size(); i++) {\n if (carrosCadastrados.get(i).getId() == idCarro) {\n if (carrosCadastrados.get(i).getEstado()) {//para verificar se o querto está sendo ocupado\n System.err.println(\"O carrp está sendo utilizado por um hospede nesse momento\");\n } else {\n carrosCadastrados.remove(i);\n System.err.println(\"cadastro removido\");\n }\n }\n\n }\n } else {\n System.err.println(\"Não existem carros cadastrados\");\n }\n }", "public void localizarEremoverProdutoCodigo(Prateleira prat){\r\n //instacia um auxiliar para procura\r\n Produto mockup = new Produto();\r\n int Codigo = Integer.parseInt(JOptionPane.showInputDialog(null,\"Forneca o codigo do produto a ser removido\" ));\r\n mockup.setCodigo(Codigo); \r\n \r\n //informa que caso encontre o produto remova o da arraylist\r\n boolean resultado = prat.getPrateleira().remove(mockup);\r\n if(resultado){\r\n JOptionPane.showMessageDialog(null, \"Produto de codigo :\" +Codigo+ \" Removido\");\r\n }\r\n else {\r\n JOptionPane.showMessageDialog(null, \"Produto de codigo :\" +Codigo+ \" não encontrado\");\r\n }\r\n }", "private E remove(){\n E tmp = array[0];\n swap(0,--lastPosition);\n array[lastPosition] = null;\n trickleDown(0);\n array = Arrays.copyOfRange(array,0,array.length);\n return tmp;\n }", "private void eliminarLibro(int pos) {\n\t\t// TODO Auto-generated method stub\n\t\tint contador = 0;\n\t\tboolean parar = false;\n\t\tLibro aux;\n\t\t\n\t\twhile((contador < lb.length) && !parar) {\n\t\t\tif(lb[contador] == null) {\n\t\t\t\tparar = true;\n\t\t\t\tcontador--;\n\t\t\t}else {\n\t\t\t\tcontador++;\n\t\t\t}\n\t\t}\n\t\tif(!parar) contador = lb.length-1;\n\t\t\n\t\taux = lb[pos];\n\t\tlb[pos] = lb[contador];\n\t\tlb[contador] = null;\n\t\tlb[lb.length-1] = aux;\n\t\tlb = Arrays.copyOf(lb, lb.length-1);\n\t\tif(lb[pos] == null) {\n\t\t\tfor(int i=pos; i<lb.length-1;i++) {\n\t\t\t\tlb[i] = lb[i+1];\n\t\t\t}\n\t\t}\n\t\t\n\t}", "@Override\n public boolean eliminar(T dato) {\n if (esVacio())\n return (false); \n super.setRaiz(buscarAS(dato));\n int cmp = ((Comparable)dato).compareTo(super.getRaiz().getInfo()); \n //Si se encontro el elemento\n if (cmp==0){\n if (super.getRaiz().getIzq()==null){\n super.setRaiz(super.getRaiz().getDer());\n } \n else {\n NodoBin<T> x = super.getRaiz().getDer();\n super.setRaiz(super.getRaiz().getIzq());\n super.setRaiz(biselar(super.getRaiz(), dato));\n super.getRaiz().setDer(x);\n }\n return (true);\n }\n //El dato no fue encontrado\n return (false);\n }", "public Agnello prelevaAgnello() {\n\t\tfor (int i=0; i<pecore.size(); i++)\n\t\t\tif (!(pecore.get(i) instanceof PecoraAdulta)\n\t\t\t\t\t&& !(pecore.get(i) instanceof PecoraNera)) {\n\t\t\t\tnumeroAgelli--;\n\t\t\t\treturn pecore.remove(i);\n\t\t\t}\n\t\treturn null;\n\t}", "public void borrarPiezasAmenazadoras(){\n this.piezasAmenazadoras.clear();\n }", "public int eliminarAlFinal(){\n int edad = fin.edad;\n if(fin==inicio){\n inicio=fin=null;\n }else{\n Nodo auxiliar=inicio;\n while(auxiliar.siguiente!=fin){\n auxiliar=auxiliar.siguiente;\n }\n fin=auxiliar;\n fin.siguiente=null;\n }\n return edad;\n }", "public void removerElemento(Integer valor, T elemento) {\n\t\tthis.coleccion.remove(valor, elemento);\n\t}", "public void removeDeadVampires() {\n\n for (int i = 0; i < Vampiro.getNumVamp(); i++) {\n if (lista[i].getVida() <= 0)\n delVampire(i);\n }\n }", "public void eliminarElemento(String codigoAcceso) {\r\n\t\tif(isElemento(codigoAcceso))\r\n\t\t\tlistaElementos.remove(codigoAcceso);\r\n\t}", "private void eliminarDeMisPropiedades(Casilla casilla){\n if(esDeMipropiedad(casilla)){\n propiedades.remove(casilla.getTituloPropiedad());\n }\n \n }", "public boolean eliminar() {\r\n if (colaVacia()) {\r\n return false;\r\n }\r\n\r\n if (ini == fin) {\r\n ini = fin = -1;\r\n } else {\r\n ini++;\r\n }\r\n\r\n return true;\r\n }", "public void excluirUltimaLinha() {\n valor = venda.BuscaultValor(ultimacod) - ultimoValor;\n int tempqte = venda.BuscaQte(ultimacod) + ultimaQte;\n SubMatRemove(ultimoValor, Double.parseDouble(jTxtSubTotal.getText()));\n AtulizaBanco(ultimacod, fun.getMatricula(), valor, tempqte);\n ((DefaultTableModel) jTable1.getModel()).removeRow(jTable1.getRowCount() - 1);\n }", "public void remove(int indeksi) {\n int[] ennen = new int[indeksi];\n int[] jalkeen = new int[koko - indeksi - 1];\n for (int i = 0; i < ennen.length; i++) {\n ennen[i] = arreilist[i];\n }\n for (int i = 0; i < jalkeen.length; i++) {\n jalkeen[i] = arreilist[indeksi + 1 + i];\n }\n for (int i = 0; i < ennen.length; i++) {\n arreilist[i] = ennen[i];\n }\n for (int i = 0; i < jalkeen.length; i++) {\n arreilist[indeksi + i] = jalkeen[i];\n }\n koko--;\n }", "@Override\n\tpublic void quitar(Alumno alumno) {\n\t\tcomision.remove(alumno);\n\t}", "public void despegar(){\n if(this.posicion == 1){\n this.setPosicion(2);\n this.indicarEstado(\"Volando\");\n } else{\n System.out.println(\"No estoy preparado para el despegue\");\n }\n }", "public int EliminarNodo() {\r\n int auxiliar = UltimoValorIngresado.informacion;\r\n UltimoValorIngresado = UltimoValorIngresado.siguiente;\r\n tamaño--;\r\n return auxiliar;\r\n }", "public Agnello prelevaPecoraNera() {\n\t\tfor (int i = 0; i < pecore.size(); i++) {\n\t\t\tif (pecore.get(i) instanceof PecoraNera) {\n\t\t\t\tPecoraNera pecoraNera = (PecoraNera) pecore.remove(i);\n\t\t\t\treturn pecoraNera;\n\t\t\t}\n\t\t}\n\t\treturn null;\n\n\t}", "public void supprimer() {\n origine.aretes_sortantes.supprimer(this);\n destination.aretes_entrantes.supprimer(this);\n origine.successeurs.supprimer(destination);\n destination.predecesseurs.supprimer(origine);\n position.supprimerElement();\n }", "public void svuotaCaselle() {\n for (CasellaGraphic casella : listaCaselle) {\n casella.getPedine().getChildren().clear();\n }\n }", "public void RemoveItemFromUcet(int index)\n {\n\n\n\n\n celk_kor -= ucty.get(index).kor;\n celk_hal -= ucty.get(index).hal;\n\n\n if (celk_hal < 0)\n {\n celk_kor -= 1;\n celk_hal = 100 + celk_hal;\n }\n\n TextView celkem = (TextView) findViewById(R.id.celkova_castka);\n celkem.setText(\"\"+celk_kor+\".\"+celk_hal+\" Kč\");\n\n\n for (int i = index; i < ucty.size(); i++)\n {\n ucty.get(i).index -= 1;\n }\n ucty.remove(index);\n mGalleryView.removeView(index);\n }", "public void eliminarVideojuegoPorPlataforma(String plataforma)\n {\n Iterator<Videojuegos> iteration = listaDeVideojuegos.iterator();\n while(iteration.hasNext()){\n Videojuegos iter = iteration.next();\n String plataformaVideojuego = iter.getPlataforma();\n if(plataformaVideojuego.equals(plataforma)){\n iteration.remove();\n }\n }\n }", "public void vaciar()\n {\n this.raiz = null;\n }", "public void delVampire(int ind) {\n\n Vampiro.restarVampiro();\n\n for (int i=ind; i < Vampiro.getNumVamp(); i++) {\n\n lista[i] = lista[i+1];\n }\n }", "public E remove(int i) {\n\t /\n\t Add code here.\n\t * Remember to compact the array so there are no spaces in between\n\t * if an element from the middle is removed or an element at the\n\t * beginning of the array is removed.\n\t /\n\t\t if(i<=num_elements){\n\t\t\t E removed_element= elements[i];\n\t\t for(int r=i;r<num_elements;r++){\n\t\t\t elements[r] = elements[r+1];\n\t\t }\n\t\t \tnum_elements --;\n\t\t return removed_element;\n\t\t }\n\t return null;\n\t }", "private void removePressed() {\n\t\ts = allMedia.getSelectedValuesList();\n\t\t// now remove all the value that are in the list from the default list model\n\t\tfor(Object o : s){\n\t\t\tif(l.contains(o)){\n\t\t\t\tl.removeElement(o);\n\t\t\t}\n\t\t}\n\t}", "public void decida(){\r\n int f=this.getFila();\r\n int c=this.getColumna();\r\n int cont=alRededor(f,c);\r\n if(this.isVivo()){\r\n if(cont==2 \|\| cont==3){\r\n estadoSiguiente=VIVA;\r\n }else/ if(cont==1 \|\| cont>3)/{\r\n estadoSiguiente=MUERTA;\r\n }\r\n }else{\r\n if(cont==3){\r\n estadoSiguiente=VIVA;\r\n }else if(cont==1 \|\| cont>3){\r\n estadoSiguiente=MUERTA;\r\n }\r\n }\r\n }", "public void removeParade(){\n\t\tfor(int i = 0; i < count; i++){\n\t\t\tthis.getChildren().remove(paradeCards[i]);\n\t\t}\n\t}", "void desalocar(Processo processo) {\n for (int r = 0; r < size(); r++) {\n if (get(r).idProcesso == processo.getId()) {\n //TODO Marcar o bloco como livre\n get(r).espaçoUsado = 0;\n get(r).idProcesso = -1;\n }\n }\n }", "public void eliminar(DetalleArmado detallearmado);", "public int hapus() {\r\n return elemen[--ukuran];\r\n }", "@Override\n\t\tpublic void eliminar() {\n\t\t\tutilitario.getTablaisFocus().eliminar();\n\t\t}", "private void removerPontos(final String matricula, final int pontos) {\n firebase.child(\"Alunos/\" + matricula + \"/pontuacao\").addListenerForSingleValueEvent(new ValueEventListener() {\n @Override\n public void onDataChange(DataSnapshot dataSnapshot) {\n long qtdAtual = (long) dataSnapshot.getValue();\n if (qtdAtual >= pontos) {\n firebase.child(\"Alunos/\" + matricula + \"/pontuacao\").setValue(qtdAtual - pontos);\n Toast.makeText(getContext(), \"Pontuação removida com sucesso.\", Toast.LENGTH_SHORT).show();\n quantidade.setText(\"\");\n\n if (alunoEncontrado == null) {\n Log log = new Log(matricula, pontos);\n log.pontos(\"Remover\");\n } else {\n Log log = new Log(alunoEncontrado, pontos);\n log.pontos(\"Remover\");\n }\n } else {\n Toast.makeText(getContext(), \"Aluno com menor quantidade de pontos que o solicitado.\", Toast.LENGTH_SHORT).show();\n }\n }\n\n @Override\n public void onCancelled(DatabaseError databaseError) {\n\n }\n });\n }", "private Element removeHiElements(Element p_seg)\n {\n ArrayList elems = new ArrayList();\n\n findHiElements(elems, p_seg);\n\n for (int i = 0; i < elems.size(); i++)\n {\n Element hi = (Element)elems.get(i);\n\n removeHiElement(hi);\n }\n\n return p_seg;\n }", "public void remove() {\n elements[index] = null;\n size--;\n next();\n }", "private void supprimerPion(Position unePosition) {\n\t\tmesPions.remove(unePosition); \n }", "public void eliminarElemento(int indice){ \n nodos.remove(indice);\n fireIntervalRemoved(this, indice, indice); \n }", "@Override\n public void eliminarElemento(Object elemento) {\n database.delete(elemento);\n }", "public Team remove(){\r\n if(array[1] == null){\r\n return null;\r\n }\r\n Team r = array[1].value;\r\n nextAvail--;\r\n if(nextAvail == 1){\r\n array[nextAvail] = null;\r\n }\r\n else {\r\n array[1].value = array[nextAvail].value;\r\n array[nextAvail] = null;\r\n fixHeap();\r\n }\r\n return r;\r\n }", "public void eliminaEdificio() {\n this.edificio = null;\n // Fijo el tipo después de eliminar el personaje\n this.setTipo();\n }", "public void remove(int index) {\r\n\t\t//Das Element am Index soll weg:\r\n\t\t//1. Alle Elemente davor sollen erhalten bleiben\r\n\t\t//2. Alle Elemente dahinter sollen erhalten bleiben\r\n\t\t//und der Index 1 kleiner werden\r\n\t\tfor(int i=index+1;i < geheim.length; i++) {\r\n\t\t\tgeheim[i-1] = geheim[i];\r\n\t\t}\r\n\t\t//3. Das Array soll um eins kleiner sein\r\n\t\tresize(-1);\r\n\t}", "public boolean remove(int elem)\r\n\t{\r\n\t\tElo p = null;\r\n\t\tp = busca(elem);\r\n\r\n\t\tif (p == null) return false;\r\n\r\n\t\t/ Retira primeiro elemento /\r\n\t\tif (p == prim) \r\n\t\t\tprim = prim.prox;\r\n\t\telse \r\n\t\t\t/ Retira elemento do meio /\r\n\t\t\tp.ant.prox = p.prox;\r\n\r\n\t\t/ Testa se é ultimo elemento */ \r\n\t\tif (p.prox != null)\r\n\t\t\tp.prox.ant = p.ant;\r\n\r\n\t\tp = null;\r\n\t\t\r\n\t\tthis.tamanho--;\r\n\r\n\t\treturn true;\r\n\t}", "@Override\r\n public void remove() {\n Node current = exp.head;\r\n if( current.next == null ){\r\n exp.head = null;\r\n }\r\n\r\n while( current.next.next != null ){\r\n current = current.next;\r\n }\r\n current.next = null; // current.next son elemani gosterir.\r\n\r\n }", "private void unDeleteValoresPago() {\n CQChangeStateVP( MVALORPAGO.ANULADO,MVALORPAGO.EMITIDO);\n }", "public void removerPorReferencia(int referencia){\n if (buscar(referencia)) {\n // Consulta si el nodo a eliminar es el pirmero\n if (inicio.getEmpleado().getId() == referencia) {\n // El primer nodo apunta al siguiente.\n inicio = inicio.getSiguiente();\n // Apuntamos con el ultimo nodo de la lista al inicio.\n ultimo.setSiguiente(inicio);\n } else{\n // Crea ua copia de la lista.\n NodoEmpleado aux = inicio;\n // Recorre la lista hasta llegar al nodo anterior\n // al de referencia.\n while(aux.getSiguiente().getEmpleado().getId() != referencia){\n aux = aux.getSiguiente();\n }\n if (aux.getSiguiente() == ultimo) {\n aux.setSiguiente(inicio);\n ultimo = aux;\n } else {\n // Guarda el nodo siguiente del nodo a eliminar.\n NodoEmpleado siguiente = aux.getSiguiente();\n // Enlaza el nodo anterior al de eliminar con el\n // sguiente despues de el.\n aux.setSiguiente(siguiente.getSiguiente());\n // Actualizamos el puntero del ultimo nodo\n }\n }\n // Disminuye el contador de tama�o de la lista.\n size--;\n }\n }", "public Card removeCard(){\n Card temp = pile[0]; //removes top card. putting placement card to avoid null pointer\n for(int i = 0; i < pilePlace; i++){ //shifts cards\n pile[i] = pile[i+1];\n }\n pilePlace--;\n return temp;\n\n }", "public Trabajo borrar(){\r\n\t\tif(!estaVacia()){\r\n\t\tfrente = siguiente(frente);\r\n\t\treturn elementos[frente];\t\r\n\t\t}\r\n\t\telse\r\n\t\t\treturn null;\r\n\t}", "private void removeOOSBalas() {\n balasToRemove = new ArrayList<>();\n balas.forEach(bala -> {\n if(bala.getState() == Enums.BulletState.TO_REMOVE) {\n if(!balasToRemove.contains(bala)) {\n balasToRemove.add(bala);\n }\n }\n });\n balasToRemove.forEach(bala -> balas.remove(bala));\n }", "public void removePrevCardList(){\n for (int i = 0; i < playerCardList.getPlayerCardListSize(); i++){\n playerCardPuzzle.getChildren().remove(playerCardList.getPlayerCardByNo(i));\n }\n }", "@Override\n\tpublic void sortir() {\n\t\tif (!estVide()) {\n\t\t\tTC next = getProchain();\t\t\t\t//On recupere le prochain\n\t\t\tsalle.get(next.getPrio()).remove(next);\t//Antinomie de entrer\n\t\t}\n\t}", "@Override\r\n\tpublic void eliminar() {\n\t\ttab_nivel_funcion_programa.eliminar();\r\n\t\t\r\n\t}", "public void limpiarPaneles(){\n vistaInicial.jpCentralGeneral.removeAll();\n vistaInicial.jpDerecha.removeAll();\n vistaInicial.jpCentral.removeAll();\n }", "void remove(int v){\n if(isEmpty()!=1){\n for(int i=0;i<size;i++){\n if(values[i]==v){\n int j = i;\n while((j+1)!=size){\n values[j] = values[j+1];\n j++;\n\n }\n values[j] = (-1);\n break;\n }\n }\n }\n }", "public T remove() {\r\n \r\n if (this.isEmpty()) {\r\n return null;\r\n }\r\n \r\n Random r = new Random();\r\n // Randomly selects element to remove and stores in rValue.\r\n int rValue = r.nextInt(size);\r\n // Store removed element in remove\r\n T remove = elements[rValue];\r\n elements[rValue] = null;\r\n \r\n // Move last element to replace \"remove\" if \"remove\" is not last element\r\n if (rValue != (size - 1)) {\r\n elements[rValue] = elements[size - 1];\r\n elements[size - 1] = null;\r\n }\r\n size--;\r\n // If array is less than 25% full, resize to 1/2 of current size.\r\n if (size > 0 && size < elements.length / 4) {\r\n resize(elements.length / 2);\r\n }\r\n return remove;\r\n }", "public void eliminarCelulaPosicion(int fila, int columna) {\r\n\t\tsuperficie[fila][columna] = null;\r\n\t\t\r\n\t\t// Eliminamos las posiciones de esa celula de los arrays de las posiciones de las celulas.\r\n\t\teliminarPosicionesDeLaCelulaEnLosArraysDeCelulas(fila, columna);\r\n\t\tnumeroDeCelulasEnSuperficie--;\r\n\t}", "public static void vaciartabla(){\n DefaultTableModel modelo=(DefaultTableModel) jtproveedores.getModel(); \n for (int i = 0; i < jtproveedores.getRowCount(); i++) {\n modelo.removeRow(i);\n i-=1;\n } \n }", "public void removeFirst() \r\n\t{\r\n\t\tint position = 1;\r\n\t\tif ( this.isEmpty() \|\| position > numItems \|\| position < 1 )\r\n\t\t{\r\n\t\t\tSystem.out.print(\"This delete can not be performed \"+ \"an element at position \" + position + \" does not exist \" );\r\n\t\t}\r\n\t\tfor (int i=position-1; i< numItems-1; i++)\r\n\t\t\tthis.bookArray[i] = this.bookArray[i+1];\r\n\t\t\tthis.bookArray[numItems-1] = null;\r\n\t\t\tnumItems--;\r\n\t\t\tSystem.out.println(\"DELETED first book from the Array \\n\");\r\n\t\t\r\n\t\t\treturn ;\r\n\t}", "public void ordenarXPuntajeBurbuja() {\r\n\t\tfor (int i = datos.size(); i > 0; i-- ) {\r\n\t\t\tfor (int j=0; j<i-1; j++) {\r\n\t\t\t\tif (\t(datos.get(j).getPuntaje()) > (datos.get(j+1).getPuntaje())\t) {\r\n\t\t\t\t\tJugador tmp = datos.get(j);\r\n\t\t\t\t\tdatos.set(j, datos.get(j+1));\r\n\t\t\t\t\tdatos.set((j+1), tmp);\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t}", "public Agnello prelevaPecoraFemmina() {\n\t\tfor (int i=0; i<pecore.size(); i++)\n\t\t\tif ((pecore.get(i) instanceof PecoraAdulta)\n\t\t\t\t\t&& !(((PecoraAdulta) pecore.get(i)).isMaschio())) {\n\t\t\t\tnumPecoreFemmine--;\n\t\t\t\treturn pecore.remove(i);\n\t\t\t}\n\t\treturn null;\n\t}", "public T removeBest();", "@Override\n\t\t\tpublic void remove() {\n\t\t\t\tthrow new UnsupportedOperationException();\n//\t\t\t\tif (i == begin \|\| removed)\n//\t\t\t\t\tthrow new IllegalStateException();\n//\t\t\t\telements.set(i-1, null);\n//\t\t\t\tremoved = true;\n\t\t\t}", "public void eliminar(Object o) {\n\t\t\n\t}", "private void eliminarDisparos(int num){\n\t\t\n\t\tnumDisparos--;\n\t\tfor(int i=num;i<numDisparos;i++)\n\t\t\tdisparos[i]=disparos[i+1];\n\t\t\tdisparos[numDisparos]=null;\n\t}", "public void supprimerParcelle() {\n\t\tboolean isEmpty=false;\n\t\tint nbParcelleSup=0;\n\t\tList<String> nomParcellesNonSupprimees = new ArrayList<>();\n\t\tList<String> nomParcellesSupprimees = new ArrayList<>();\n\n\t\tfor (String emplacement : emplacementsSelectionneesFromJS.split(\"-\")) {\n\t\t\tnbParcelleSup++;\n\n\t\t\tif (!isEmpty(emplacement)){\n\t\t\t\tString[] refEmplacement= emplacement.split(\"_\");\n\t\t\t\tint numLigne = Integer.parseInt(refEmplacement[0]);\n\t\t\t\tint numColonne = Integer.parseInt(refEmplacement[1]);\n\t\t\t\tEmplacement e = obtenirEmplacement(numLigne,numColonne);\n\n\t\t\t\tif(e != null && notHaveTachePlanified(parcelle).equals(\"true\") ) {\n\t\t\t\t\t// Suppression de la parcelle \n\t\t\t\t\tthis.parcelle = e.getParcelle();\n\t\t\t\t\taffecterDateRetraitPuisMAJParcelleEnBase(parcelle);\n\t\t\t\t\tnomParcellesSupprimees.add(parcelle.getLibelleParcelle());\n\t\t\t\t\tSystem.out.println(\"Supprimer Parcelle OK \");\n\t\t\t\t}else {\n\t\t\t\t\tnomParcellesNonSupprimees.add(parcelle.getLibelleParcelle());\n\t\t\t\t}\n\t\t\t}else {\n\t\t\t\t//Probleme de selection d'emplacement\n\t\t\t\tisEmpty=true;\n\t\t\t}\n\t\t}\n\n\t\tif(isEmpty&&nbParcelleSup==1) {\n\t\t\tmsgInfoActionGrilleJS=\"Erreur : La selection ne correspond à aucune parcelle !\";\n\t\t\tetatMsgInfoGrilleJS=\"color:red;\";\n\t\t\tSystem.out.println(\"Supprimer Parcelle KO : L'emplacement selectionnee n'est pas affecté à une parcelle \");\n\t\t}else {\n\t\t\tif(nbParcelleSup>1) {\n\t\t\t\tString listeLibelleParcellesSupprimees=\"\";\n\t\t\t\tString listeLibelleParcellesNonSupprimees=\"\";\n\n\t\t\t\tfor (String string : nomParcellesSupprimees) {\n\t\t\t\t\tlisteLibelleParcellesSupprimees+=string+\", \";\n\t\t\t\t}\n\t\t\t\tfor (String string : nomParcellesNonSupprimees) {\n\t\t\t\t\tlisteLibelleParcellesNonSupprimees+=string+\", \";\n\t\t\t\t}\n\t\t\t\tif(listeLibelleParcellesSupprimees.length()>0) {\n\t\t\t\t\tint i = listeLibelleParcellesSupprimees.length()-2;\n\t\t\t\t\tmsgInfoActionGrilleJS=\"Les parcelles ' \"+listeLibelleParcellesSupprimees.substring(0, i)+\" ' ont bien été retirées !\";\n\t\t\t\t}\n\t\t\t\tif(listeLibelleParcellesNonSupprimees.length()>0) {\n\t\t\t\t\tint j = listeLibelleParcellesNonSupprimees.length()-2;\n\n\t\t\t\t\tmsgInfoActionGrilleJS=\"\\n Attention : Les parcelles ' \"+listeLibelleParcellesNonSupprimees.substring(0, j)+\" ' n'ont pas pu être supprimées (Taches en cours ou emplamcement vide)!\";\n\t\t\t\t}\n\n\t\t\t}else {\n\t\t\t\tmsgInfoActionGrilleJS=\"La parcelle '\"+parcelle.getLibelleParcelle()+\"'a bien été retirée !\";\n\t\t\t}\n\t\t\tetatMsgInfoGrilleJS=\"color:green;\";\n\t\t}\n\t\tthis.clearForm();\n\t}", "public void removeAluno(Aluno a) {\n for (Aluno b: this.alunos) {\n if(b.getNome().equals(a.getNome()) && b.getNum() == a.getNum()){\n if(this.alunos.remove(b))\n System.out.println(\"Removido com sucesso\");\n break;\n }\n }\n }", "@Override\r\n\tpublic void eliminar() {\n\t\ttab_cuenta.eliminar();\r\n\t}", "public void remove(){\n\t\tqueueArray[1][0] = null;\n\t\tqueueArray[1][1] = null;\n\t}", "public void removeElement (int userInputElementToRemove){\n int i;\n for(i=userInputElementToRemove; i<sirDeLa1La100.length-1; i++) {\n sirDeLa1La100[i] = sirDeLa1La100[i + 1];\n }\n System.out.println(Arrays.toString(sirDeLa1La100));\n }", "public void eliminarPosicionesDeLaCelulaEnLosArraysDeCelulas(int fila, int columna) {\r\n\t\t\r\n\t\t// Primero lo tenemos que buscar.\r\n\t\tboolean encontrado = false;\r\n\t\tint contador_recorrido = 0;\r\n\t\t\r\n\t\twhile((!encontrado) && (contador_recorrido < numeroDeCelulasEnSuperficie)) {\r\n\t\t\t\r\n\t\t\tif(fila == filasDeCelulas[contador_recorrido]){\r\n\t\t\t\tif(columna == columnasDeCelulas[contador_recorrido]) {\r\n\t\t\t\t\tencontrado = true;\r\n\t\t\t\t\t\r\n\t\t\t\t\t// Las eliminamos del array, desplazamos las posiciones a la izquierda.\r\n\t\t\t\t\tfor(int i = contador_recorrido; i < numeroDeCelulasEnSuperficie - 1; i++) {\r\n\t\t\t\t\t\t\r\n\t\t\t\t\t\tfilasDeCelulas[i] = filasDeCelulas[i+1];\r\n\t\t\t\t\t\tcolumnasDeCelulas[i] = columnasDeCelulas[i+1];\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\t// Actualizamos el contador.\r\n\t\t\tcontador_recorrido++;\r\n\t\r\n\t\t}\r\n\t}", "@Override\n\tpublic void remover(Parcela entidade) {\n\n\t}", "public Elemento getElemento (String nombre) {\n Elemento tmp = null;\n if (porNombre.containsKey(nombre)) {\n tmp=porNombre.remove(nombre);\n addPeso(-tmp.getPeso());\n }\n return tmp;\n }", "public void ordenarXPuntajeSeleccion() {\r\n\t\tfor (int i = 0; i < datos.size()-1; i++) {\r\n\t\t\tJugador menor = datos.get(i);\r\n\t\t\tint cual = i;\r\n\t\t\tfor (int j = i + 1; j < datos.size(); j++ ) {\r\n\t\t\t\tif(datos.get(j).compareTo(menor) < 0) {\r\n\t\t\t\t\tmenor = datos.get(j);\r\n\t\t\t\t\tcual = j;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tJugador temp = datos.get(i);\r\n\t\t\tdatos.set(i, menor);\r\n\t\t\tdatos.set(cual, temp);\r\n\t\t}\r\n\t}" ]	[ "0.7741615", "0.75555617", "0.71925557", "0.71201146", "0.70836276", "0.70093745", "0.69910944", "0.6968639", "0.6884489", "0.66918564", "0.66514945", "0.6643744", "0.6625804", "0.6609223", "0.6607134", "0.6586327", "0.65860754", "0.65759504", "0.65442383", "0.65386504", "0.652871", "0.6503116", "0.6472682", "0.6456894", "0.6418291", "0.6417029", "0.6401731", "0.63709277", "0.63526946", "0.6341839", "0.63298285", "0.62963325", "0.62866956", "0.62846726", "0.6251826", "0.6250815", "0.62278163", "0.6225238", "0.622253", "0.6219354", "0.621351", "0.6207506", "0.6197914", "0.61843795", "0.61794066", "0.6177691", "0.6170055", "0.61422795", "0.61283517", "0.61266035", "0.6119871", "0.6109925", "0.6098962", "0.6088253", "0.6077985", "0.6076145", "0.60730696", "0.6066142", "0.6061094", "0.60407174", "0.6022336", "0.6018479", "0.6013382", "0.60111487", "0.6010036", "0.60054874", "0.6002287", "0.600144", "0.5980811", "0.59530044", "0.5951896", "0.5941648", "0.5940357", "0.59397674", "0.5939387", "0.59393096", "0.59391224", "0.5929142", "0.59170747", "0.590955", "0.5904155", "0.58924854", "0.5887885", "0.58832514", "0.58752877", "0.58698225", "0.58675015", "0.5866557", "0.5860503", "0.58521396", "0.5851494", "0.58505", "0.5847605", "0.5840117", "0.58394986", "0.5836346", "0.58332914", "0.58315426", "0.5829901", "0.5825375", "0.5823661" ]	0.0	-1
Make a new block instance.	@SuppressWarnings({ "rawtypes" }) public ConfigurableBlockLog(ExtendedConfig eConfig) { this.setConfig(eConfig); this.setBlockName(this.getUniqueName()); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "Block createBlock();", "private void createBlock() {\n\t\tblock = new Block(mouseX, mouseY, 25, 25);\r\n\t\tblock.addObserver(this);\r\n\t\tblock.start();\r\n\t\t// System.out.println(\"Block created (at Model.createBlock)\");\r\n\t}", "Block create(int xpos, int ypos);", "RclBlock createRclBlock();", "BlockFor createBlockFor();", "public Block() {\n this((byte) 0, (byte) 0);\n }", "TestBlock createTestBlock();", "public Block(Block bl) {\r\n\t\tthis.type = bl.type;\r\n\t\tthis.point_BlockTopRight = new Point3D(bl.point_BlockTopRight);\r\n\t\tthis.point_BlockDownleft = new Point3D(bl.point_BlockDownleft);\r\n\t\tthis.setpoint_BlockTopLeft(new Point3D(bl.getpoint_BlockTopRight().y(),bl.getpoint_BlockDownleft().x()));\r\n\t\tthis.setPoint_BlockDownRight(new Point3D(bl.getpoint_BlockDownleft().y(),bl.getpoint_BlockTopRight().x()));\r\n\t\tthis.IDBloack = bl.IDBloack;\r\n\r\n\t}", "public ItemBlock createItemBlock() {\n\t\treturn new GenericItemBlock(this);\n\t}", "public Block(){\n\t\tinstns = new ArrayList<Instruction>();\n\t}", "DefineBlock createDefineBlock();", "public BlockIF newBlock(String label, SourceIF text) {\n\t\tif (text == null)\n\t\t\tthrow new NullPointerException(\"The argument text cannot be null\");\n\t\treturn new Block(label, text);\n\t}", "BranchingBlock createBranchingBlock();", "public Block( ) {\r\n _offSetRow = 0;\r\n _offSetCol = 0;\r\n _noOfRows = 0;\r\n _noOfCols = 0;\r\n }", "public Block()\n {\n this.blockType = BlockType.AIR;\n }", "public Block(){\n\t\tthis.type = Code.Type.NULL;\n\t}", "public Block() {\r\n\t\t// TODO Auto-generated constructor stub\r\n\t\tthis.point_BlockTopRight = null;\r\n\t\tthis.point_BlockDownleft = null;\r\n\t\tthis.setpoint_BlockTopLeft(null);\r\n\t\tthis.IDBloack = 0;\r\n\t\tthis.type = \"\";\r\n\t}", "public Block() {\n this.xPos = 0;\n this.yPos = 0;\n this.width = 0;\n this.height = 0;\n this.color = Color.MINTCREAM;\n }", "ActionBlock createActionBlock();", "public Block instance(int paramInt)\r\n/* 194: / {\r\n/ 195:225 / return instance().setData(a, bds.b(paramInt)).setData(b, (paramInt & 0x8) > 0 ? bdu.b : bdu.a);\r\n/ 196: / }", "BlockConstant createBlockConstant();", "BAnyBlock createBAnyBlock();", "StatementBlock createStatementBlock();", "public Block createBlock(Position pos, List<Stmt> stmts) {\n return xnf.Block(pos, stmts);\n }", "public AEADBlockCipher newInstance()\n {\n final BlockCipher blockCipher = new BlockCipherSpec(algorithm).newInstance();\n AEADBlockCipher aeadBlockCipher;\n if (\"GCM\".equals(mode)) {\n aeadBlockCipher = new GCMBlockCipher(blockCipher);\n } else if (\"CCM\".equals(mode)) {\n aeadBlockCipher = new CCMBlockCipher(blockCipher);\n } else if (\"OCB\".equals(mode)) {\n aeadBlockCipher = new OCBBlockCipher(blockCipher, new BlockCipherSpec(algorithm).newInstance());\n } else if (\"EAX\".equals(mode)) {\n aeadBlockCipher = new EAXBlockCipher(blockCipher);\n } else {\n throw new IllegalStateException(\"Unsupported mode \" + mode);\n }\n return aeadBlockCipher;\n }", "protected Block(short id) {\n this(id, (byte) 0);\n }", "private BlocksPool() {\n this(DEFAULT_BLOCK_SIZE_BYTES);\n }", "private void testAutoGenBlock(Class<Block> blockClass) {\n try {\n Block instance = blockClass.newInstance();\n\n instance.train(Matrices.randomMatrix(1, 1, 1234), Matrices.randomMatrix(1, 1, 4321), 2);\n instance.evaluateInput(Matrices.randomMatrix(1, 1, 1234));\n\n // No exception when training.\n assertTrue(true);\n\n } catch (Exception e) {\n throw new RuntimeException(e);\n }\n }", "BlockBuilder createBlockBuilder(BlockBuilderStatus blockBuilderStatus, int expectedEntries);", "public Block( Block block ) {\r\n _offSetRow = block._offSetRow;\r\n _offSetCol = block._offSetCol;\r\n _noOfRows = block._offSetRow;\r\n _noOfCols = block._noOfCols;\r\n }", "public Block createBlock(Position pos, Term... terms) {\n return createBlock(pos, convertToStmtList(terms));\n }", "public TileBlockBase(BlockBehaviour.Properties properties) {\n super(properties);\n }", "BlockchainFactory getBlockchainFactory();", "Block (int start, int size)\n {\n this.start = start;\n this.size = size;\n }", "BlockBuilder createBlockBuilder(BlockBuilderStatus blockBuilderStatus, int expectedEntries, int expectedBytesPerEntry);", "public EntangledChaliceItem(Block block) {\n super(block);\n }", "public MutableBlock createMutableBlock(ExpressionBuilder expression) {\r\n return new MutableBlock(passwordType, expression.toString());\r\n }", "public MutableBlock createMutableBlock(String expression) {\r\n return new MutableBlock(passwordType, expression);\r\n }", "private void setBlock(Block block) {\r\n this.block = block;\r\n }", "public BuildingBlock(int setX, int setY, int size, int blockId) {\n\n this.blockId = blockId;\n revertColor = GameGrid.GAMEGRID_COLOR;\n createRectangle(setX, setY , size, revertColor);\n double circleAdjuster = size / 2.0;\n circle = new Circle(setX + circleAdjuster, setY + circleAdjuster, circleAdjuster);\n circle.setFill(revertColor);\n gridList.put(blockId, this);\n explosionSound = new AudioClip(getClass().getResource(\"explosion.wav\").toExternalForm());\n }", "public Block(Vector2 position, float width, float height, int type){\n this.position = position;\n this.type = type;\n\n rectangle = new RectF(position.x, position.y, position.x + width, position.y + height);\n\n paint = new Paint();\n paint.setStyle(Paint.Style.FILL);\n }", "DirectionBlock createDirectionBlock();", "public BlockChain() {\n this.blockChain = new ArrayList<>();\n this.chainHash = \"\";\n }", "public Builder setNewBlock(\n phaseI.Hdfs.BlockLocations.Builder builderForValue) {\n if (newBlockBuilder_ == null) {\n newBlock_ = builderForValue.build();\n onChanged();\n } else {\n newBlockBuilder_.setMessage(builderForValue.build());\n }\n bitField0_ \|= 0x00000002;\n return this;\n }", "protected Block(short id, byte data) {\n this.id = id;\n this.data = data;\n }", "BlockAssignmentType createBlockAssignmentType();", "protected static Block createEmptyBlock(AST ast) {\n\t\treturn ast.newBlock();\n\t}", "Tetrisblock()\n {\n newblockparam();\n newmapparam();\n setboundary();\n }", "protected Lock(Block block) {\r\n this(block, null, null, null);\r\n }", "public static BlockCipher createBlockCipher() {\n\t\tBlockCipherFactory factory;\n\n\t\tsynchronized (AES.class) {\n\t\t\tlong now = System.currentTimeMillis();\n\n\t\t\tfactory = AES.factory;\n\t\t\tif ((factory != null) && (now > factoryTimestamp + FACTORY_TIMEOUT))\n\t\t\t\tfactory = null;\n\t\t\tif (factory == null) {\n\t\t\t\ttry {\n\t\t\t\t\tfactory = getBlockCipherFactory();\n\t\t\t\t} catch (Throwable t) {\n\t\t\t\t\tif (t instanceof InterruptedException) {\n\t\t\t\t\t\tThread.currentThread().interrupt();\n\t\t\t\t\t} else if (t instanceof ThreadDeath) {\n\t\t\t\t\t\tthrow (ThreadDeath) t;\n\t\t\t\t\t} else {\n\t\t\t\t\t\tlogger.warn(\"Failed to initialize an optimized AES\" + \" implementation: \" + t.getLocalizedMessage());\n\t\t\t\t\t}\n\t\t\t\t} finally {\n\t\t\t\t\tif (factory == null) {\n\t\t\t\t\t\tfactory = AES.factory;\n\t\t\t\t\t\tif (factory == null)\n\t\t\t\t\t\t\tfactory = BOUNCYCASTLE_FACTORY;\n\t\t\t\t\t}\n\n\t\t\t\t\tAES.factory = factory;\n\t\t\t\t\tAES.factoryTimestamp = now;\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\n\t\ttry {\n\t\t\treturn factory.createBlockCipher();\n\t\t} catch (Exception ex) {\n\t\t\tif (ex instanceof RuntimeException)\n\t\t\t\tthrow (RuntimeException) ex;\n\t\t\telse\n\t\t\t\tthrow new RuntimeException(ex);\n\t\t}\n\t}", "private InheritableBuildingBlock() {\r\n super(IInheritableBuildingBlock.TYPE_ID);\r\n }", "public Block(Record[] records, int blockSize) {\n this.records = records;\n this.blockSize = blockSize;\n }", "private void setBlocks() {\n // load the class\n ClassLoader cl = ClassLoader.getSystemClassLoader();\n // create an InputStream object\n InputStream inputStream = cl.getResourceAsStream(this.map.get(\"block_definitions\"));\n // initialize this factory with a factory\n this.factory = BlocksDefinitionReader.fromReader(new InputStreamReader(inputStream));\n try {\n inputStream.close();\n } catch (IOException e) {\n e.printStackTrace();\n }\n\n }", "void buildBlock(Tile t);", "TestFirstBlock createTestFirstBlock();", "Tetrisblock2()\n {\n newblockparam();\n newmapparam();\n setboundary();\n }", "public Block(Point upperLeft, double width, double height, Background background) {\r\n this.rectangle = new Rectangle(upperLeft, width, height);\r\n this.background = background;\r\n this.borderColor = null;\r\n this.hitListeners = new ArrayList<>();\r\n }", "public MutableBlock createMutableBlock(TimeParameter timeValue) {\r\n return createMutableBlock(timeValue.getTextField());\r\n }", "protected Block(int id, String hr_ident){\n super(id,hr_ident);\n\n //set some standards\n this.visible = true;\n this.solid = true;\n }", "public Builder setNewBlock(\n alluxio.proto.journal.File.NewBlockEntry.Builder builderForValue) {\n if (newBlockBuilder_ == null) {\n newBlock_ = builderForValue.build();\n onChanged();\n } else {\n newBlockBuilder_.setMessage(builderForValue.build());\n }\n bitField0_ \|= 0x00200000;\n return this;\n }", "public Builder setNewBlock(alluxio.proto.journal.File.NewBlockEntry value) {\n if (newBlockBuilder_ == null) {\n if (value == null) {\n throw new NullPointerException();\n }\n newBlock_ = value;\n onChanged();\n } else {\n newBlockBuilder_.setMessage(value);\n }\n bitField0_ \|= 0x00200000;\n return this;\n }", "@Deprecated public Block getBlock(){\n return this.block!=null?this.block.build():null;\n }", "private Block(Location topLeft, short length, short width) {\n\t\tif (length<=0 \|\| width<=0){\n\t\t\tthrow new IllegalArgumentException();\n\t\t}\n\t\telse if (topLeft==null) {\n\t\t\tthrow new NullPointerException();\n\t\t}\n\t\tthis.topLeft = topLeft;\n\t\tthis.length = length;\n\t\tthis.width = width;\n\t}", "Block saveBlock(Block block) throws BlockExistsException;", "public void createSideBlocks() {\n Fill fill = new FillColor(Color.darkGray);\n Block topB = new Block(new Rectangle(new Point(0, 0), 800, 45), fill);\n Block rightB = new Block(new Rectangle(new Point(775, 25), 25, 576), fill);\n Block leftB = new Block(new Rectangle(new Point(0, 25), 25, 576), fill);\n //add each screen-side block to game and set 1 hitpoint.\n topB.addToGame(this);\n topB.setHitPoints(1);\n rightB.addToGame(this);\n rightB.setHitPoints(1);\n leftB.addToGame(this);\n leftB.setHitPoints(1);\n }", "public void setBlock(Block newBlock) {\n\t\tthis.block = newBlock;\n\t}", "public Builder clearNewBlock() {\n if (newBlockBuilder_ == null) {\n newBlock_ = null;\n onChanged();\n } else {\n newBlockBuilder_.clear();\n }\n bitField0_ = (bitField0_ & ~0x00000002);\n return this;\n }", "Block getBlock(String congName, String blockName, String blockNumber);", "public Builder setNewBlock(phaseI.Hdfs.BlockLocations value) {\n if (newBlockBuilder_ == null) {\n if (value == null) {\n throw new NullPointerException();\n }\n newBlock_ = value;\n onChanged();\n } else {\n newBlockBuilder_.setMessage(value);\n }\n bitField0_ \|= 0x00000002;\n return this;\n }", "public Contract create(){\n\t\treturn new Contract();\n\t}", "public Block(){\r\n\t\tthis.altitude = 0;\r\n\t\tthis.river = false;\t\r\n\t\tthis.ocean = false;\r\n\t\tthis.river = false;\r\n\t\tborder = false;\r\n\t}", "private static void registerBlock(Block b)\n\t{\n\t}", "public BuildingBlock(int blockId, Color color) {\n Image bbGreenImage = new Image(getClass().getResourceAsStream(VisibleObjects.MAKE_LONGER_BONUS.getImage()));\n bbGreen = new ImagePattern(bbGreenImage);\n VisibleObjects.MAKE_LONGER_BONUS.setBlockImage(bbGreen);\n Image bbYellowImage = new Image(getClass().getResourceAsStream(VisibleObjects.MAKE_FASTER_BONUS.getImage()));\n bbYellow = new ImagePattern(bbYellowImage);\n VisibleObjects.MAKE_FASTER_BONUS.setBlockImage(bbYellow);\n Image bbRedImage = new Image(getClass().getResourceAsStream(VisibleObjects.SHOOT_BONUS.getImage()));\n bbRed = new ImagePattern(bbRedImage);\n VisibleObjects.SHOOT_BONUS.setBlockImage(bbRed);\n Image bbGreyImage = new Image(getClass().getResourceAsStream(VisibleObjects.DEATH.getImage()));\n bbGrey = new ImagePattern(bbGreyImage);\n VisibleObjects.DEATH.setBlockImage(bbGrey);\n Image playerOneImageImage = new Image(getClass().getResourceAsStream(VisibleObjects.PLAYER_ONE.getImage()));\n playerOneImage = new ImagePattern(playerOneImageImage);\n VisibleObjects.PLAYER_ONE.setBlockImage(playerOneImage);\n Image playerTwoImageImage = new Image(getClass().getResourceAsStream(VisibleObjects.PLAYER_TWO.getImage()));\n playerTwoImage = new ImagePattern(playerTwoImageImage);\n VisibleObjects.PLAYER_TWO.setBlockImage(playerTwoImage);\n Image playerThreeImageImage = new Image(getClass().getResourceAsStream(VisibleObjects.PLAYER_THREE.getImage()));\n playerThreeImage = new ImagePattern(playerThreeImageImage);\n VisibleObjects.PLAYER_THREE.setBlockImage(playerThreeImage);\n Image playerFourImageImage = new Image(getClass().getResourceAsStream(VisibleObjects.PLAYER_FOUR.getImage()));\n playerFourImage = new ImagePattern(playerFourImageImage);\n VisibleObjects.PLAYER_FOUR.setBlockImage(playerFourImage);\n Image playerOneImageImageRIP = new Image(getClass().getResourceAsStream(PlayerEnum.PLAYER_ONE.getImage()));\n playerOneImageRIP = new ImagePattern(playerOneImageImageRIP);\n PlayerEnum.PLAYER_ONE.setPlayerDeathImage(playerOneImageRIP);\n Image playerTwoImageImageRIP = new Image(getClass().getResourceAsStream(PlayerEnum.PLAYER_TWO.getImage()));\n playerTwoImageRIP = new ImagePattern(playerTwoImageImageRIP);\n PlayerEnum.PLAYER_TWO.setPlayerDeathImage(playerTwoImageRIP);\n Image playerThreeImageImageRIP = new Image(getClass().getResourceAsStream(PlayerEnum.PLAYER_THREE.getImage()));\n playerThreeImageRIP = new ImagePattern(playerThreeImageImageRIP);\n PlayerEnum.PLAYER_THREE.setPlayerDeathImage(playerThreeImageRIP);\n Image playerFourImageImageRIP = new Image(getClass().getResourceAsStream(PlayerEnum.PLAYER_FOUR.getImage()));\n playerFourImageRIP = new ImagePattern(playerFourImageImageRIP);\n PlayerEnum.PLAYER_FOUR.setPlayerDeathImage(playerFourImageRIP);\n Image deathImage = new Image(getClass().getResourceAsStream(\"rip.png\"));\n deathPattern = new ImagePattern(deathImage);\n Image deathPlayerImage = new Image(getClass().getResourceAsStream(VisibleObjects.DEATH_PLAYER.getImage()));\n deathPlayerPattern = new ImagePattern(deathPlayerImage);\n VisibleObjects.DEATH_PLAYER.setBlockImage(deathPlayerPattern);\n \n Image eplosionImage = new Image(getClass().getResourceAsStream(\"explosion.gif\"));\n explosionView = new ImagePattern(eplosionImage);\n \n explosionSound = new AudioClip(getClass().getResource(\"explosion.wav\").toExternalForm());\n \n explosionSound.play(0);\n \n this.blockId = blockId;\n this.revertColor = color;\n rectangle = new Rectangle();\n rectangle.setFill(color);\n occupant = new Death(VisibleObjects.DEATH);\n gridList.put(blockId, this);\n }", "public static Block getInstance(short id) {\n return getInstance(id, (byte) 0);\n }", "@Override\n public BeingBlocker newBeing() {\n // Return a new BeingBlocker instance.\n // TODO -- you fill in here replacing this statement with\n // your solution.\n throw new UnsupportedOperationException(\"Replace this\");\n }", "public BiomeBlock(Location loc, Biome b) {\n this.world = loc.getWorld();\n this.x = loc.getBlockX();\n this.z = loc.getBlockZ();\n this.biome = b;\n this.wmChunk = new WMChunk(this.world, this.x, this.z, true);\n }", "TeststepBlock createTeststepBlock();", "public phaseI.Hdfs.BlockLocations.Builder getNewBlockBuilder() {\n bitField0_ \|= 0x00000002;\n onChanged();\n return getNewBlockFieldBuilder().getBuilder();\n }", "private void createSquare(Block block) {\n\t\tSquare square = factory.createSquare();\n\t\tsquare.setName(block.getName());\n\t\tsquare.setBlock(block.getBlock());\n\t\tsquare.getInArrow().addAll(block.getInArrow());\n\t\tsquare.getOutArrow().addAll(block.getOutArrow());\n\t}", "public static void initializeBlocks() {\n if (Config.enableGiveADamn) {\n giveADamn = new GiveADamn();\n }\n\n if (Config.enableGlowstone) {\n glowstone = new HeavyLight();\n }\n\n if (Config.enableSpicedSand) {\n sandSpiced = new SpicedSand();\n }\n /\n\n if (Config.enableMuffler){\n muffler = new Muffler();\n }\n */\n }", "public static Geometry assembleBlock(Block block, Vector3f location) {\n Geometry g = createLimb(block.collisionShapeType, block.width, block.height, block.length, location, block.mass, block.rotation, block.rotationForYRP);\n block.applyProperties(g);\n return g;\n }", "public Block( int noOfRows, int noOfCols ) {\r\n _offSetRow = 0;\r\n _offSetCol = 0;\r\n _noOfRows = noOfRows;\r\n _noOfCols = noOfCols;\r\n }", "public static BlockExpression block(Class clazz, Expression[] expressions) { throw Extensions.todo(); }", "JStaticBlock(int line, JBlock body) {\r\n\t\tsuper(line);\r\n\t\tthis.block = body;\r\n\t}", "public Blocks(int h)\n {\n health=h;\n worth=h;\n setImage(colors[health-1]);\n }", "@Override\n\tpublic B makeB(Map<String, String> attributes, Div divObj) {\n\t\treturn new B( attributes, divObj );\n\t}", "public Block( int offSetRow, int offSetCol, int noOfRows, int noOfCols ) {\r\n _offSetRow = offSetRow;\r\n _offSetCol = offSetCol;\r\n _noOfRows = noOfRows;\r\n _noOfCols = noOfCols;\r\n }", "public abstract void start_block();", "private BlocksPool(int blockSizeBytes) {\n this.blockSizeBytes = blockSizeBytes;\n this.newAllocBlocks = convertSizeToBlocks(NEW_ALLOC_MIN_SIZE_BYTES, 1);\n this.lowReservedBlocks = convertSizeToBlocks(LOW_RESERVED_SIZE_BYTES, 0);\n this.highReservedBlocks = convertSizeToBlocks(HIGH_RESERVED_SIZE_BYTES, this.lowReservedBlocks + 1);\n alloc(convertSizeToBlocks(PRE_ALLOC_SIZE_BYTES, 0));\n }", "public void createBlocks(HitListener phl, HitListener blockrmv, HitListener scorelstn) {\n // add all the blocks according to the levelinfo block list.\n for (Block block : this.levelInfo.blocks()) {\n // add the block to the game\n block.addToGame(this);\n // add all the relevant listeners to the blocks.\n block.addHitListener(phl);\n block.addHitListener(blockrmv);\n block.addHitListener(scorelstn);\n // increase the blocks counter by 1.\n this.blockCounter.increase(1);\n }\n }", "public static BlockExpression block(Expression expression0, Expression expression1) { throw Extensions.todo(); }", "public static DeformableMesh3D createTestBlock(){\n return createTestBlock(2, 2, 2);\n }", "MultipleBranchingBlock createMultipleBranchingBlock();", "private void addBlock(Block one)\n\t{\n\t\tgetChildren().add(one);\n\t\tblocks1.add(one);\n\t\tblocks2.add(one);\n\t}", "public FileBlock(Source source, int blockIndex, long start, long end) {\n this.source = source;\n this.start = start;\n this.end = end;\n this.blockIndex = blockIndex;\n }", "@Override\n\tpublic LightTank create() {\n\t\treturn new LightTank(GameContext.getGameContext());\n\t}", "public Builder clearNewBlock() {\n if (newBlockBuilder_ == null) {\n newBlock_ = alluxio.proto.journal.File.NewBlockEntry.getDefaultInstance();\n onChanged();\n } else {\n newBlockBuilder_.clear();\n }\n bitField0_ = (bitField0_ & ~0x00200000);\n return this;\n }", "public Bomb newBomb() {\r\n return new Bomb(id(), position().containingCell(),\r\n Ticks.BOMB_FUSE_TICKS, bombRange);\r\n }", "public ContextBodyBlock() {\n super();\n\r\n setChild(new List(), 0);\r\n setChild(new List(), 1);\r\n setChild(new List(), 2);\r\n\r\n }", "public static Block getInstance(short id, byte data) {\n switch (id) {\n case 5:\n return new WoodenPlank(data);\n case 6:\n return new Sapling(data);\n case 8:\n case 9:\n return new Water(id, data);\n case 10:\n case 11:\n return new Lava(id, data);\n case 17:\n return new Wood(data);\n case 18:\n return new Leaves(data);\n case 23:\n return new Dispenser(null, (byte) 0);\n case 24:\n return new Sandstone(data);\n case 26:\n return new Bed(data);\n case 27:\n return new PoweredRail(data);\n case 28:\n return new DetectorRail(data);\n case 29:\n case 33:\n return new Piston(id, data);\n case 31:\n return new TallGrass(data);\n case 34:\n return new PistonExtension(data);\n case 35:\n return new Wool(data);\n case 43:\n case 44:\n return new StoneSlab(id, data);\n case 50:\n return new Torch(data);\n case 51:\n return new Fire(data);\n case 53: // oak\n case 67: // cobble\n case 108: // brick\n case 109: // stonebrick\n case 114: // netherbrick\n case 128: // sandstone\n case 134: // spruce\n case 135: // birch\n case 136: // jungle\n case 156:\n return new Stair(id, data); // quartz\n case 54: // normal chest\n case 146:\n return new Chest(id); // trapped chest\n case 55:\n return new RedstoneWire(data);\n case 59:\n return new Crop((short) 59, data); // Wheat\n case 60:\n return new Farmland(data);\n case 61:\n case 62:\n return new Furnace(id, data);\n case 63:\n case 68:\n return new Sign(null, id, data);\n case 64:\n case 71:\n return new Door(id, data);\n case 78:\n return new SnowCover(data);\n case 65:\n return new Ladder(data);\n case 66:\n return new Rail(data);\n case 69:\n return new Lever(data);\n case 70:\n case 72:\n return new PressurePlate(id, data);\n case 75:\n case 76:\n return new RedstoneTorch(id, data);\n case 77:\n return new Button(id, data);\n case 84:\n return new Jukebox(data);\n case 86:\n return new Pumpkin(data);\n case 91:\n return new JackOLantern(data);\n case 92:\n return new Cake(data);\n case 93:\n case 94:\n return new RedstoneRepeater(id, data);\n case 96:\n return new TrapDoor(data);\n case 98:\n return new StoneBrick(data);\n case 99:\n case 100:\n return new HugeMushroom(id, data);\n case 104:\n case 105:\n return new Stem(id, data);\n case 106:\n return new Vines(data);\n case 107:\n return new FenceGate(data);\n case 115:\n return new NetherWart(data);\n case 117:\n return new BrewingStand();\n case 118:\n return new Cauldron(data);\n case 120:\n return new EndPortalFrame(data);\n case 123:\n case 124:\n return new RedstoneLamp(id);\n case 125:\n case 126:\n return new WoodenSlab(id, data);\n case 127:\n return new CocoaPod(data);\n case 130:\n return new EnderChest(data);\n case 131:\n return new TripwireHook(data);\n case 132:\n return new TripWire(data);\n case 137:\n return new CommandBlock();\n case 138:\n return new Beacon();\n case 139:\n return new CobblestoneWall(data);\n case 140:\n return new FlowerPot(data);\n case 141:\n return new Crop((short) 141, data); // Carrot\n case 142:\n return new Crop((short) 142, data); // Potato\n case 143:\n return new Button(id, data);\n case 144:\n return new MobHead((byte) 3, (byte) 8, null, data); // north facing human head - most data from tile entity\n case 145:\n return new Anvil(data);\n case 147:\n case 148:\n return new WeightedPressurePlate(id, data);\n case 154:\n return new Hopper(null, (byte) 0);\n case 155:\n return new QuartzBlock(data);\n case 157:\n return new ActivatorRail(data);\n case 158:\n return new Dropper(null, (byte) 0);\n default:\n return new Block(id, data);\n }\n }", "protected ItemStack createStackedBlock(int par1) {\n\t\treturn new ItemStack(this.blockID, 1, par1);\n\t}" ]	[ "0.82026565", "0.7467288", "0.7452699", "0.7040366", "0.69578105", "0.6921044", "0.67545724", "0.6686189", "0.665559", "0.6636994", "0.66098005", "0.6600689", "0.6554013", "0.6548257", "0.6536828", "0.6425964", "0.64073384", "0.63951045", "0.6363033", "0.63345474", "0.6329223", "0.6320593", "0.62766004", "0.62719274", "0.6254418", "0.62514514", "0.6229953", "0.622283", "0.61815643", "0.614798", "0.6110959", "0.6110131", "0.6070135", "0.606142", "0.6039553", "0.6035075", "0.59896547", "0.59893304", "0.5970172", "0.5963993", "0.59520847", "0.5947146", "0.5945368", "0.59338826", "0.59087014", "0.58961326", "0.5891954", "0.58897465", "0.5864763", "0.58566296", "0.583856", "0.5832326", "0.58285", "0.5825599", "0.5818023", "0.58061326", "0.58053136", "0.5801162", "0.5792632", "0.5782146", "0.57662994", "0.574654", "0.57419413", "0.57408845", "0.57389754", "0.57340705", "0.57119346", "0.57114756", "0.5709216", "0.5697363", "0.56970143", "0.5696669", "0.568961", "0.5681021", "0.5661718", "0.56487876", "0.56124383", "0.5590483", "0.55842364", "0.5578543", "0.5556166", "0.5550705", "0.5542741", "0.55379486", "0.5534711", "0.55320555", "0.552289", "0.55211556", "0.55185217", "0.55146", "0.55081123", "0.5495361", "0.5481697", "0.54814273", "0.54745543", "0.54719436", "0.5463563", "0.5462558", "0.5432415", "0.54284835", "0.54251057" ]	0.0	-1
/ before starting talking to you let me check that if you are a reliant client authorize client and save the socket for further checks against the authorization policies	@Override public void run() { final boolean isAuthorized = authzManager.checkClient(socket); /* not an authorized client, close this connection */ if (!isAuthorized) { if (logger.isLoggable(Level.INFO)) { logger.log(Level.INFO, "Client " + socket + "it' not authorized. Closing connection..."); } close(); } // register in authorization manager for periodic checks of permissions authzManager.registerClient(socket); // ok pal, let's I agree to talk to you super.run(); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "AuthServerConnectionHandler(Socket socket){\n\t\tthis.socket=socket;\n\n\t}", "public boolean authToServer() throws ClientChatException{\n\n\t\t// On crée un objet container pour contenir nos donnée\n\t\t// On y ajoute un AdminStream de type Authentification avec comme params le login et le mot de pass\n \tAuthentificationRequest request = new AuthentificationRequest(login, pass);\n\t\t\n\t\t//Auth sur le port actif\n\t\ttry {\n\t\t\t// On tente d'envoyer les données\n\t\t\toos_active.writeObject(request);\n\t\t\t// On tente de recevoir les données\n\t\t\tAuthentificationResponse response = (AuthentificationResponse)ois_active.readObject();\n\n\t\t\t// On switch sur le type de retour que nous renvoie le serveur\n\t\t\t// !!!Le type enum \"Value\" est sujet à modification et va grandir en fonction de l'avance du projet!!!\n\t\t\tswitch(response.getResponseType()){\n\t\t\tcase AUTH_SUCCESS:\n\t\t\t\t\n\t\t\t\towner = response.getOwner();\n\t\t\t\t\n\t\t\t\t//creation du socket\n\t\t\t\ttry {\n\t\t\t\t\ts_passive = new Socket(address, 3003);\n\t\t\t\t} catch (IOException e) {\n\t\t\t\t\tthrow new ClientChatException(ClientChatException.IO_ERREUR, \n\t\t\t\t\t\"ERROR : passive socket creation failed!\");\n\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\t// On crée le flux sortant !!!OBLIGATOIRE de créer le flux sortant avant le flux entrant!!!\n\t\t\t\ttry {\n\t\t\t\t\toos_passive = new ObjectOutputStream(s_passive.getOutputStream());\n\t\t\t\t} catch (IOException e) {\n\t\t\t\t\tthrow new ClientChatException(ClientChatException.IO_ERREUR, \n\t\t\t\t\t\"ERROR : passive OOS creation failed!\");\n\t\t\t\t}\n\t\t\t\t// On crée le flux entrant\n\t\t\t\ttry {\n\t\t\t\t\tois_passive = new ObjectInputStream(s_passive.getInputStream());\n\t\t\t\t} catch (Exception e) {\n\t\t\t\t\tthrow new ClientChatException(ClientChatException.IO_ERREUR, \n\t\t\t\t\t\"ERROR : passive OIS creation failed!\");\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\trequest = new AuthentificationRequest(owner);\t\t\t\n\t\t\t\t//Auth sur le port passif\n\t\t\t\ttry {\n\t\t\t\t\t// On tente d'envoyer les données\n\t\t\t\t\toos_passive.writeObject(request);\n\t\t\t\t\t// On tente de recevoir les données\n\t\t\t\t\tresponse = (AuthentificationResponse)ois_passive.readObject();\n\n\t\t\t\t\t// On switch sur le type de retour que nous renvoie le serveur\n\t\t\t\t\t// !!!Le type enum \"Value\" est sujet à modification et va grandir en fonction de l'avance du projet!!!\n\t\t\t\t\tswitch(response.getResponseType()){\n\t\t\t\t\tcase AUTH_SUCCESS:\n\t\t\t\t\t\topResult = \"Welcome!\";\n\t\t\t\t\t\treturn true;\n\t\t\t\t\tcase AUTH_FAIL:\n\t\t\t\t\t\topResult = \"ERROR : check login/pwd! (passive socket)\";\n\t\t\t\t\t\treturn false;\n\t\t\t\t\t}\n\t\t\t\t} catch(Exception e){\n\t\t\t\t\tthrow new ClientChatException (ClientChatException.IO_ERREUR, \"ERROR: Communication Error (passive)\");\n\t\t\t\t}\n\t\t\t\n\t\t\tcase AUTH_FAIL:\n\t\t\t\topResult = \"ERROR : check login/pwd! (active socket)\";\n\t\t\t\treturn false;\n\n\t\t\t}\n\t\t} catch (Exception e) {\n\t\t\tthrow new ClientChatException (ClientChatException.IO_ERREUR, \"ERROR: Communication Error (active)\");\n\t\t}\n\t\treturn true;\n }", "private void getAUTH_REQUEST() throws Exception {\n\t\t\n\t\tboolean status = true;\n\t\tboolean status2 = false;\n\t\tString msg = \"\";\n\t\t\n\t\t//File filePK = new File(\"identity\");\n\t\n\t\ttry {\n\t\t\t\n\t\t\tmsg = br.readLine();\n\t\t\tGetTimestamp(\"Received Authorization Request from Client: \" + msg);\n\t\t\t\n\t\t\tJSONObject REQUEST = (JSONObject) parser.parse(msg);\n\t String identity = REQUEST.get(\"identity\").toString();\n\t\t\t\n\t\t\t\n\t if((identity.contains(\"aaron@krusty\"))) {\n\n\t \tGetTimestamp(\"Authorization Request from Client is approved: \");\n\n\t \tGetTimestamp(\"Client Publickey is stored: \" ) ;\n\n\t \tString tosend = encrypt1(getSharedKey(), getClientPublicKey());\n\n\t \tGetTimestamp(\"Server sharedkey is being encrypted with Client's publickey to be sent: \") ;\n\n\t \tJSONObject RESPONSE = new JSONObject();\n\t \tRESPONSE.put(\"command\",\"AUTH_RESPONSE\");\n\t \tRESPONSE.put(\"AES128\", tosend);\n\t \tRESPONSE.put(\"status\", status);\n\t \tRESPONSE.put(\"message\", \"public key found\");\n\n\t \tStringWriter out = new StringWriter();\n\t \tRESPONSE.writeJSONString(out);\n\n\t \tString AUTH_RESPONSE = out.toString();\n\t \tSystem.out.println(AUTH_RESPONSE);\n\n\t \tGetTimestamp(\"Sending Authorization Response to Client: \");\n\n\t \tpw.println(AUTH_RESPONSE);\n\t \tpw.flush();\n\n\n\n\t }\n\t else {\n\n\t \tSystem.out.println(\"Client \" + REQUEST.get(\"identity\") + \" has been rejected\");\n\n\t \tJSONObject RESPONSE = new JSONObject();\n\t \tRESPONSE.put(\"command\",\"AUTH_RESPONSE\");\n\t \tRESPONSE.put(\"status\", status2);\n\t \tRESPONSE.put(\"message\", \"public key not found\");\n\n\t \tStringWriter out = new StringWriter();\n\t \tRESPONSE.writeJSONString(out);\n\n\t \tString AUTH_RESPONSE = out.toString();\n\t \tSystem.out.println(AUTH_RESPONSE);\n\n\t \tpw.println(AUTH_RESPONSE);\n\t \tpw.flush();\n\n\t \tcloseConnection();\n\t }\n\t\t\t\t\n\t\t\t\n\t\t} catch (IOException ex) {\n\t\t\tLogger.getLogger(ServerTCP.class.getName()).log(Level.SEVERE, null, ex);\n\t\t}\n\t\tif (msg.equalsIgnoreCase(\"bye\")) {\n\t\t\tSystem.out.println(\"Client has signed out!\");\n\t\t\tcloseConnection();\n\n\t\t} else {\t\n\t\t\tgetMessage();\n\t\t}\n\t}", "public boolean connectAs(String uname) {\n\t\tboolean noProblems = true; // no problems have been encountered\n \n\t\t// First Message: A->B: Alice \|\| E_kB(Alice \|\| nonce_A)\n\t\tbyte[] nonce_user = ComMethods.genNonce();\n\t\tComMethods.report(accountName+\" has randomly generated a 128-bit nonce_user = \"+(new String(nonce_user))+\".\",simMode);\n\n\t\tbyte[] unameBytes = uname.getBytes();\n\t\tbyte[] srvrNameBytes = \"SecretServer\".getBytes();\n\n\t\tbyte[] pload = ComMethods.concatByteArrs(unameBytes, nonce_user);\n\t\tpload = SecureMethods.encryptRSA(pload, serv_n, BigInteger.valueOf(serv_e), simMode);\n\n\t\tbyte[] message1 = ComMethods.concatByteArrs(unameBytes,pload);\n\n\t\tComMethods.report(accountName+\" is sending SecretServer the name \"+uname+\", concatenated with '\"+uname+\" \|\| nonce_user' encrypted under RSA with the SecretServer's public key.\", simMode);\t\t\n\t\tbyte[] response1 = sendServer(message1,false);\n\n\t\tif (!checkError(response1)) {\n\t\t\tresponse1 = SecureMethods.decryptRSA(response1, my_n, my_d, simMode);\n\t\t\tComMethods.report(accountName+\" has decrypted the SecretServer's message using \"+accountName+\"'s private RSA key.\", simMode);\n\t\t} else {\n\t\t\tComMethods.report(accountName+\" has received the SecretServer's error message.\", simMode);\n\t\t}\n\n\t\t// Test for proper formatting of the second message in the protocol\n\t\tif (!Arrays.equals(Arrays.copyOf(response1,nonce_user.length), nonce_user) \|\| !Arrays.equals(Arrays.copyOfRange(response1, nonce_user.length, nonce_user.length+srvrNameBytes.length), srvrNameBytes)) {\n\n\t\t\tnoProblems = false;\n\t\t\tSystem.out.println(\"ERROR ~ something went wrong.\");\n\t\t} else {\n\t\t\tbyte[] nonce_srvr = Arrays.copyOfRange(response1, nonce_user.length + srvrNameBytes.length, response1.length);\n\t\t\tComMethods.report(accountName+\" now has nonce_srvr.\", simMode);\n\n\t\t\t// Third Message: A->B: E_kB(nonce_B \|\| kS)\n\t\t\tsessionKey = ComMethods.genNonce();\n\t\t\tComMethods.report(accountName+\" has generated a random 128-bit session key.\", simMode);\n\t\t\t\n\t\t\tbyte[] message2 = ComMethods.concatByteArrs(nonce_srvr, sessionKey);\n\t\t\tmessage2 = SecureMethods.encryptRSA(message2, serv_n, BigInteger.valueOf(serv_e), simMode);\n\t\t\tComMethods.report(accountName+\" is sending the SecretServer the concatenation of nonce_srvr and the session key, encrypted under RSA using the SecretServer's public key.\", simMode);\n\n\t\t\tbyte[] response2 = sendServer(message2, true);\n\t\t\tif (!checkError(response2)) {\n\t\t\t\tresponse2 = SecureMethods.processPayload(srvrNameBytes, response2, 11, sessionKey, simMode);\n\t\t\t\tComMethods.report(accountName+\" has decrypted the SecretServer's message using the symmetric session key that \"+accountName+\" just generated.\", simMode);\t\t\t\t\n\t\t\t} else {\n\t\t\t\tComMethods.report(accountName+\" has received the SecretServer's error message.\", simMode);\n\t\t\t}\n\n\t\t\t// Test formatting of the 4th message in the protocol\n\t\t\tbyte[] expected = \"understood\".getBytes();\n\t\t\tif (!Arrays.equals(Arrays.copyOf(response2, expected.length), expected)) {\n\t\t\t\tnoProblems = false;\n\t\t\t\tComMethods.report(\"ERROR ~ something went wrong with the fourth message in the Bilateral Authentication Protocol.\", simMode);\n\t\t\t} else {\n\t\t\t\tcounter = 12; // counter to be used in future messages\n\t\t\t}\n\t\t}\n\n\t\tif (noProblems) {\n\t\t\tusername = uname;\n\t\t}\n\n\t\treturn noProblems; \n\t}", "protected void configureClient(ChannelHandlerContext ctx) {\n\t\tSystem.out.println(\"Checking auth\");\n\t\t\n\t\tWebSession sess = ctx.channel().attr(WebSession.webSessionKey).get();\n\t\t\n\t\tif (sess == null) {\n\t\t\tSystem.out.println(\"Closing websocket connection, no session found\");\n\t\t\tctx.writeAndFlush(new CloseWebSocketFrame(400, \"NO SESSION FOUND\")).addListener(ChannelFutureListener.CLOSE);\n\t\t\treturn;\n\t\t}\n\t\t\n\t\tSystem.out.println(\"Got session id: \"+sess.getSessionId());\n\t\t\n\t\tAppRunner ar = ctx.channel().attr(AppPlugHandler.appPlugKey).get();\n\t\tar.addCtx(ctx);\n\t\t\n\t\tci = new ClientInvocation(ctx, ar)\n\t\t{\n\t\t\t@Override\n\t\t\tpublic void invoke(String val)\n\t\t\t{\n\t\t\t\tthis.sendToAll(val);\n\t\t\t}\n\t\t};\n\t}", "private static boolean verify(Socket s) {\r\n\t\t//TODO: Implement this.\r\n\t\treturn true;\r\n\t}", "private void manageConnectedSocket(BluetoothSocket acceptSocket) {\n\n }", "public boolean login() {\r\n try {\r\n if (socket == null) {\r\n SocketFactory socketFactory = SSLSocketFactory.getDefault();\r\n socket = socketFactory.createSocket(host, port);\r\n // System.err.println(\"Socket created\");\r\n if (Preferences.debugLevel(Preferences.DEBUG_COMMS)) {\r\n if (socket instanceof SSLSocket) { // of course it is!\r\n SSLSession session = ((SSLSocket) socket).getSession();\r\n try {\r\n javax.security.cert.X509Certificate[] x509 = session.getPeerCertificateChain();\r\n for (int i = 0; i < x509.length; i++ )\r\n System.out.println(\"Certs: \" + x509[i].toString());\r\n } catch (SSLPeerUnverifiedException ex) {\r\n System.err.println(ex.toString());\r\n return false;\r\n }\r\n }\r\n }\r\n if (socket.isConnected()) {\r\n in = new BufferedReader(new InputStreamReader(socket.getInputStream()));\r\n out = new PrintWriter(socket.getOutputStream(), true);\r\n out.println(clientName);\r\n out.println(clientIP);\r\n start();\r\n } else {\r\n println(\"Unable to make connection with server\");\r\n return false;\r\n }\r\n }\r\n } catch (ConnectException e) {\r\n println(\"Unable to connect. Server is most likely down.\");\r\n return false;\r\n } catch (UnknownHostException e) {\r\n println(\"Unknown host, please notify admin.\");\r\n return false;\r\n } catch (IOException e) {\r\n println(\"I/O socket error.\");\r\n e.printStackTrace();\r\n return false;\r\n } catch (Exception e) {\r\n println(\"Cannot log in, please try again later.\");\r\n return false;\r\n }\r\n return true;\r\n }", "private void authorize() {\r\n\r\n\t}", "private void verifyAuthWithServer() {\n mRegisterModel.connect(binding.personFirstName.getText().toString(),\n binding.personLastName.getText().toString(),\n binding.registerEmail.getText().toString(),\n binding.registerPassword.getText().toString());\n //this is an Asynchronous call no statements after should rely on the result of connect\n }", "protected boolean authClientsWithDNS() throws Throwable {\n // verify irules\n // change authclients to all\n // reboot all and wait\n return (changeAuthorizedClients(hostname) &&\n rebootAndWait(\"all\") &&\n verifyIrules(getIP(hostname)) &&\n pingFromMaster(hostname) &&\n changeAuthorizedClients(\"all\") &&\n rebootAndWait(\"all\"));\n }", "private void startClientConnection() {\r\n\t\t\t\r\n\t//\tStringBuilder sbreq = new StringBuilder();\r\n\t\t\r\n\t\ttry {\r\n\t\t\t\r\n\t\t\t/making connection request/\r\n\t\t\tclientsoc = new Socket(ip,port);\r\n\t\t\t\r\n\t\t\t/Input and output streams for data sending and receiving through client and server sockets./\r\n\t\t\tdis = new DataInputStream(clientsoc.getInputStream());\t\r\n\t\t\tdos = new DataOutputStream(clientsoc.getOutputStream());\r\n\t\t\t\r\n\t\t\tStringBuilder sbconnreq = new StringBuilder();\r\n\r\n\t\t\t/Building the Http Connection Request and passing Client name as body. Thus the Http Header\r\n\t\t\tare encoded around the client name data./\r\n\t\t\tsbconnreq.append(\"POST /\").append(\"{\"+clientname+\"}\").append(\"/ HTTP/1.1\\r\\n\").append(host).append(\"\\r\\n\").\r\n\t\t\tappend(userAgent).append(\"\\r\\n\").append(contentType).append(\"\\r\\n\").append(contentlength).append(clientname.length()).append(\"\\r\\n\").\r\n\t\t\tappend(date).append(new Date()).append(\"\\r\\n\");\r\n\t\t\t\r\n\t\t\tdos.writeUTF(sbconnreq.toString());\r\n\r\n\t\t\totherusers = new ArrayList<>(10);\r\n\t\t\tusertimestamp = new HashMap<>(10);\r\n\t\t\tJOptionPane.showMessageDialog(null, \"You have logged in. You can start Chatting: \" + clientname);\r\n\t\t\tconnected = true;\r\n\t\t\t\r\n\t\t} catch (IOException e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\t\r\n\t}", "public void getConnection() throws Exception {\n\t\ttry {\n\t\t\tSystem.out.println(\"Waiting for new client!\");\n\n\n\n\t\t\tclient = serverSocket.accept();\n\t\t\tis = client.getInputStream();\n\t\t\tisr = new InputStreamReader(is);\n\t\t\tbr = new BufferedReader(isr);\n\t\t\tos = client.getOutputStream();\n\t\t\tosw = new OutputStreamWriter(os);\n\t\t\tpw = new PrintWriter(osw, true);\n\t\t\tsleep(500);\n\t\t\t//clientkey = getClientKey();\n\t\t\tSystem.out.println(\"Client has connected!\");\n\t\t\t\n\t\t\tGetTimestamp(\"Client Publickey is being stored: \" ) ;\n\t\t\t\n\t\t\tpublicKey = getClientPublicKey();\n\t\t\t\n\t\t\tGetTimestamp(\"Client Publickey is stored: \" ) ;\n\t\t\t\n\t\t\tString tosend = encrypt1(getSharedKey(), getClientPublicKey());\n\t\t\t\n\t\t\tGetTimestamp(\"Client sharedkey is being encrypted: \") ;\n\t\t\t\n\t\t\tGetTimestamp(\"Waiting for Authorization Request from Client: \");\n\t\t\t\n\t\t\t//getclientpublickey();\n\t\t\tgetAUTH_REQUEST();\n\t\t\t//getMessage();\n\n\t\t} catch (IOException \| InterruptedException ex) {\n\t\t\tLogger.getLogger(ServerTCP.class.getName()).log(Level.SEVERE, null, ex);\n\t\t}\n\t}", "@Override\n\tpublic boolean canConnect() {\n return false;\n }", "public static boolean sendCredentials() {\n try {\n buildSocket();\n ClientService.sendMessageToServer(connectionToServer, ClientService.requestLoginVerification());\n ClientService.receiveMessageFromServer(connectionToServer);\n closeSocket();\n } catch (Exception e) {\n e.printStackTrace();\n }\n return !ClientService.getLastMessageFromServer().contains(XML_Manager.XML_NODES.Error.toString());\n }", "protected abstract void createLogin(Socket socket);", "boolean hasSock();", "boolean isSocketInitialized() {\n return clientSocket != null;\n }", "private static boolean AttemptConnect() {\n try {\n if (Connect()) {\n Log.Confirmation(\"Connected to server on: \" + socket);\n // send connection type\n dos.writeUTF(\"viewer\");\n return true;\n } else {\n return false;\n }\n } catch (IOException e) {\n e.printStackTrace();\n return false;\n }\n }", "public HandleAClient(Socket socket) {\n this.socket = socket;\n }", "@Override\n\tpublic void run(){\n\t\tInetAddress IPAddress = serverTcpSocket.getInetAddress();\n\t\tfor (ClientObj c: clients)\n\t\t\tif (c.getId() == client.getId()){\n\t\t\t\tSystem.out.print(IPAddress + \" Client already connected!\");\n\t\t\t\treturn;\n\t\t\t}\n\t\ttry{\n\t\t\t// Check handshake received for correctness\n\t\t\t//(connect c->s) [herader \| \"JUSTIN\\0\" \| connection port] (udp)\n\t\t\t//(connect response s->c) [header \| client id \| port] (udp)\n\t \n\t // open the connection\n\t\t clientSocket = null;\n\t\t Socket clientListener = null;\n\t\t // wait for client connection on tcp port\n\t\t //serverTcpSocket.setSoTimeout(5000);\n\t \tSystem.out.println (\" Waiting for tcp connection.....\");\n\t \tclientSocket = serverTcpSocket.accept();\n\t \tclientListener = serverTcpSocket.accept();\n\t \tclient.setListenerSocket(clientListener);\n\t\t\tIPAddress = clientSocket.getInetAddress();\n\t\t\tint recv_port = clientSocket.getPort();\n\t\t\tSystem.out.println(IPAddress + \": Client connected @ port \" + recv_port);\n\n\t\t // handle tcp connection\n\t\t\tclientSocket.setSoTimeout(Constants.ACK_TIMEOUT);\n\t\t out = new BufferedOutputStream(clientSocket.getOutputStream());\n\t\t\tin = new BufferedInputStream(clientSocket.getInputStream());\n\t\t\tclient.setAddress(clientSocket.getInetAddress());\n\t\t\tclient.setPort(clientSocket.getPort());\n\t\t clients.add(client);\n\t\t\t\n\t\t // handle requests\n\t\t\twhile (!shutdown_normally) {\n\t\t\t\t// read just the header, then handle the req based on the info in the header\n\t\t\t\tif ((buf = Utility.readIn(in, Constants.HEADER_LEN)) == null)\n\t\t\t\t\tbreak;\n\t\t\t\tint flag = buf.getInt(0);\n\t\t\t\tint len2 = buf.getInt(4);\n\t\t\t\tint id = buf.getInt(8);\n\t\t\t\t\n\t\t\t\t// check for correctness of header\n\t\t\t\t\n\t\t\t\tif (flag < Constants.OPEN_CONNECTION \|\| \n\t\t\t\t\t\tflag > Constants.NUM_FLAGS \|\| \n\t\t\t\t\t\tid != client.getId() \|\| \n\t\t\t\t\t\tlen2 < 0){\n\t\t\t\t\tout.close(); \n\t\t\t\t\tin.close(); \n\t\t\t\t\tclientSocket.close(); \n\t\t\t\t\tserverTcpSocket.close();\n\t\t\t\t\tclients.remove(client);\n\t\t\t\t\tthrow new RuntimeException(\n\t\t\t\t\t\t\t\"Connection - FAILURE! (malformed header)\");\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\t// read payload\n\t\t\t\tif ((buf = Utility.readIn(in, Utility.getPaddedLength(len2))) == null)\n\t\t\t\t\tthrow new IOException(\"read failed.\");\n\t\t\t\t// update address (necessary?)\n\t\t\t\tclients.get(clients.indexOf(client)).setAddress(clientSocket.getInetAddress());\n\t\t\t\tclient.setAddress(clientSocket.getInetAddress());\n\t\t\t\tswitch (flag){\n\t\t\t\t\tcase Constants.ACK:\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase Constants.VIEW_REQ:\n\t\t\t\t\t\tSystem.out.println(client.getAddress() + \n\t\t\t\t\t\t\t\t\": Processing view request...\");\n\t\t\t\t\t\tViewFiles(buf);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase Constants.DOWNLOAD_REQ:\n\t\t\t\t\t\tSystem.out.println(client.getAddress() + \n\t\t\t\t\t\t\t\t\": Processing download request...\");\n\t\t\t\t\t\tDownload(buf);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase Constants.UPLOAD_REQ:\n\t\t\t\t\t\tSystem.out.println(client.getAddress() + \n\t\t\t\t\t\t\t\t\": Processing upload request...\");\n\t\t\t\t\t\tUpload(buf);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase Constants.DOWNLOAD_ACK:\n\t\t\t\t\t\tSystem.out.println(client.getAddress() + \n\t\t\t\t\t\t\t\t\": Processing download acknowledgment...\");\n\t\t\t\t\t\tDownloadCompleted(buf);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase Constants.CLOSE_CONNECTION:\n\t\t\t\t\t\tshutdown_normally = true;\n\t\t\t\t\tdefault:\n\t\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\t\t\t// close all open sockets\n\t\t out.close(); \n\t\t in.close(); \n\t\t clientSocket.close(); \n\t\t serverTcpSocket.close();\n\t\t} catch (SocketTimeoutException e) {\n\t\t\tSystem.err.println(IPAddress + \": Timeout waiting for response.\");\n\t\t} catch (UnknownHostException e) {\n\t\t\t// IPAdress unknown\n\t\t\tSystem.err.println(\"Don't know about host \" + IPAddress);\n\t\t} catch (IOException e) {\n\t\t\t// Error in communication\n\t\t\tSystem.err.println(\"Couldn't get I/O for the connection to \" +\n\t\t\t\t\tIPAddress);\n\t\t} catch (RuntimeException e){\n\t\t\t// Malformed Header or payload most likely\n\t\t\tSystem.err.println(IPAddress + \": Connection - FAILURE! (\" + e.getMessage() + \")\");\n\t\t} finally {\n\t\t\t// remove this client from active lists, close all (possibly) open sockets\n\t\t\tSystem.out.println(IPAddress + \": Connection - Closing!\");\n\t\t\tclients.remove(client);\n\t\t\ttry {\n\t\t\t\tSocket clientConnection = client.getListenerSocket();\n\t\t\t\tOutputStream out_c = new BufferedOutputStream(clientConnection.getOutputStream());\n\t\t\t\tbuf = Utility.addHeader(Constants.CLOSE_CONNECTION, 0, client.getId());\n\t\t\t\tout_c.write(buf.array());\n\t\t\t\tout_c.flush();\n\t\t\t\tout_c.close();\n\t\t\t\tclientConnection.close();\n\n\t\t\t\tif (out != null)\n\t\t\t\t\tout.close();\n\t\t\t\tif (in != null)\n\t\t\t\t\tin.close();\n\t\t\t\tif (!clientSocket.isClosed())\n\t\t\t\t\tclientSocket.close();\n\t\t\t\tif (!serverTcpSocket.isClosed())\n\t\t\t\t\tserverTcpSocket.close();\n\t\t\t} catch (IOException e){\n\t\t\t\treturn;\n\t\t\t}\n\t\t}\n }", "private synchronized void doConnect() {\n try {\n String host = agent.getHost();\n int port = agent.getPort();\n log.fine(\"Connecting to server \" + host + ':' + port);\n socket = new Socket(host, port);\n input = socket.getInputStream();\n output = new OutputStreamWriter(socket.getOutputStream());\n disconnected = false;\n new Thread(this).start();\n\n // Automatically login! -> give an auth to the agent...\n TACMessage msg = new TACMessage(\"auth\");\n msg.setParameter(\"userName\", agent.getUser());\n msg.setParameter(\"userPW\", agent.getPassword());\n msg.setMessageReceiver(agent);\n sendMessage(msg);\n\n } catch (Exception e) {\n disconnected = true;\n log.log(Level.SEVERE, \"connection to server failed:\", e);\n socket = null;\n }\n }", "interface Auth extends RconConnectionEvent, Cancellable {}", "public void setWantClientAuth(boolean flag)\n {\n wantClientAuth = flag;\n }", "private void verifyAuthWithServer() {\n mResetModel.connect(\n myBinding.editResetEmail.getText().toString());\n //This is an Asynchronous call. No statements after should rely on the\n //result of connect().\n }", "boolean authQop() {\n/* 114 / return this.serverQop;\n/ / }", "public void acceptedSocket(long socketId) {}", "boolean hasClientHello();", "@Override\n public void onConnectionRequest(Socket socket) {\n ConnectionHandler connectionHandler = makeConnection(socket);\n if(connectionHandler != null){\n readOnlyConnections.add(connectionHandler);\n onConnectionEstablished(connectionHandler);\n }\n }", "public HandleAClient(Socket s) {\n\t\t\tmySocket = s;\n\t\t}", "private void startConnection() throws IOException {\n bos = new BufferedOutputStream(socket.getOutputStream(), 65536);\n\n byte[] key = new byte[16];\n Random random = new Random();\n random.nextBytes(key);\n String base64Key = Base64.encodeBase64String(key);\n\n byte[] handshake = createHandshake(base64Key);\n bos.write(handshake);\n bos.flush();\n\n InputStream inputStream = socket.getInputStream();\n verifyServerHandshake(inputStream, base64Key);\n\n writerThread.start();\n\n notifyOnOpen();\n\n bis = new BufferedInputStream(socket.getInputStream(), 65536);\n read();\n }", "void clientReady();", "public void establishSocketConnection() {\n\t\ttry {\n\t\t\tsocket = new Socket(serverIP, serverPort);\n\t\t\tlogger.info(\"Connection with JSON-RPC server opened at local endpoint \" + socket.getLocalAddress().getHostAddress() + \":\" + socket.getLocalPort());\n\t\t\t// create a writer to send JSON-RPC requests to the JSON-RPC server\n\t\t\twriter = new OutputStreamWriter(socket.getOutputStream(), \"utf-8\");\n\t\t\t// create a JsonReader object to receive JSON-RPC response\n\t\t\tjsonReader = new JsonReader(new InputStreamReader(socket.getInputStream(), \"utf-8\"));\n\t\t} catch (UnknownHostException e) {\n\t\t\n\t\t\te.printStackTrace();\n\t\t} catch (IOException e) {\n\t\t\t\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "private void processInviteToEstablishControlSocket(final Message msg) {\n final String readString = \n (String) msg.getProperty(P2PConstants.SECRET_KEY);\n final byte[] readKey = Base64.decodeBase64(readString);\n final byte[] writeKey = CommonUtils.generateKey();\n final String sdp = (String) msg.getProperty(P2PConstants.SDP);\n final ByteBuffer offer = ByteBuffer.wrap(Base64.decodeBase64(sdp));\n final String offerString = MinaUtils.toAsciiString(offer);\n log.info(\"Processing offer: {}\", offerString);\n \n final OfferAnswer offerAnswer;\n try {\n offerAnswer = this.offerAnswerFactory.createAnswerer(\n new ControlSocketOfferAnswerListener(msg.getFrom(), readKey, writeKey), false);\n }\n catch (final OfferAnswerConnectException e) {\n // This indicates we could not establish the necessary connections \n // for generating our candidates.\n log.warn(\"We could not create candidates for offer: \" + sdp, e);\n \n final Message error = newError(msg);\n xmppConnection.sendPacket(error);\n return;\n }\n final byte[] answer = offerAnswer.generateAnswer();\n final long tid = (Long) msg.getProperty(P2PConstants.TRANSACTION_ID);\n \n // TODO: This is a throwaway key here since the control socket is not\n // encrypted as of this writing.\n final Message inviteOk = newInviteOk(tid, answer, writeKey);\n final String to = msg.getFrom();\n inviteOk.setTo(to);\n log.info(\"Sending CONTROL INVITE OK to {}\", inviteOk.getTo());\n XmppUtils.goOffTheRecord(to, xmppConnection);\n xmppConnection.sendPacket(inviteOk);\n \n offerAnswer.processOffer(offer);\n log.debug(\"Done processing CONTROL XMPP INVITE!!!\");\n }", "@Override\r\n public synchronized void connect(SelectionKey clientKey)\r\n { \r\n // Local Variable Declaration \r\n Map<String, String> headers = new HashMap<>(); \r\n String headerString = \"\", rqsMethod = \"\", socKey = \"\";\r\n float rqsVersion = 0;\r\n \r\n // Read headers from socket client\r\n headerString = receiveHeaders(clientKey);\r\n \r\n // Parse and validate the headers if the headerString could be read\r\n if(!headerString.equals(null))\r\n {\r\n headers = parseAndValidateHeaders(headerString);\r\n \r\n // Extract the HTTP method and version used in this connection request\r\n rqsMethod = headers.get(RQS_METHOD);\r\n rqsVersion = Float.parseFloat(headers.get(RQS_VERSION));\r\n socKey = headers.get(\"Sec-WebSocket-Key\");\r\n }\r\n \r\n / Make sure the header contained the GET method has a version higher \r\n * 1.1 and that the socket key exists / \r\n if (!headerString.equals(null) && rqsMethod.equals(new String(\"GET\")) && \r\n rqsVersion >= 1.1 && socKey != null)\r\n {\r\n // Complete handshake, by sending response header confirming connection terms\r\n finishConnection(headers, clientKey);\r\n \r\n // Add the socket to the map of sockets by the name passed \r\n this.sockets.put(clientKey, new WebSocketData()); \r\n }\r\n else\r\n {\r\n // Send a Bad Request HTTP response \r\n SocketChannel sc = (SocketChannel) clientKey.channel();\r\n \r\n try \r\n {\r\n // Build a response header for the error \r\n byte rsp[] = (this.BAD_RQST_HDR \r\n + \"Malformed request. The connection request must \"\r\n + \"use a 'GET' method, must have a version greater \"\r\n + \"than 1.1 and have 'Sec-WebSocket-Key'. Please\"\r\n + \"check your headers\"\r\n + \"\\\\r\\\\n\").getBytes(\"UTF-8\");\r\n \r\n // Send the response error header to the client\r\n sc.write(ByteBuffer.wrap(rsp));\r\n } \r\n catch (IOException ex) \r\n {\r\n Logger.getLogger(RecptionRoom.class.getName()).log(Level.SEVERE, null, ex);\r\n }\r\n }\r\n }", "@Override\n\tpublic void onOpen( ServerHandshake handshakedata ) {\n\t\tlog.info(\"opened connection\");\n\t\t// if you plan to refuse connection based on ip or httpfields overload: onWebsocketHandshakeReceivedAsClient\n\t}", "public interface SocketClientInterface {\n boolean openConnection();\n void handleSession();\n void closeSession();\n}", "public void mo33395e() {\n if (XGPushConfig.enableDebug) {\n StringBuilder sb = new StringBuilder();\n sb.append(\"Action -> checkAndSetupClient( tpnsClient = \");\n sb.append(this.f23297x);\n sb.append(\", isClientCreating = \");\n sb.append(this.f23298y);\n sb.append(\")\");\n C6864a.m29286a(\"TpnsChannel\", sb.toString());\n }\n synchronized (this) {\n if (this.f23297x == null && !this.f23298y) {\n this.f23298y = true;\n try {\n C6938d.m29638a().mo33180a(this.f23288H);\n } catch (Exception e) {\n C6864a.m29302d(\"TpnsChannel\", \"createOptimalSocketChannel error\", e);\n }\n } else if (!this.f23298y && this.f23297x != null && !this.f23297x.mo33374d()) {\n C6864a.m29308i(\"TpnsChannel\", \"The socket Channel is unconnected\");\n try {\n this.f23297x.mo33373c();\n C6938d.m29638a().mo33180a(this.f23288H);\n } catch (Exception e2) {\n C6864a.m29302d(Constants.ServiceLogTag, \"createOptimalSocketChannel error\", e2);\n }\n }\n }\n }", "public ConnectedClient(Socket sock) {\n\t\tthis.sock = sock;\n\t\tthis.connectionStatus = \"Connected - Not Logged In\";\n\t\tthis.id = \"Unknown\";\n\t\tthis.setupStreams();\n\t\tthis.key = EncryptionService.generateKey();\n\t\tthis.encrypt = new EncryptionService(key);\n\t}", "public void logon() throws IOException, GeneralSecurityException {\n String line;\n char response;\n\n if (state != State.CONNECTED) {\n connect();\n }\n\n socketOut.write('0');\n socketOut.flush();\n socketOut.write(VERSION.getBytes());\n socketOut.write('\\n');\n socketOut.write(GETCOMMAND.getBytes());\n socketOut.write('\\n');\n socketOut.write(USERNAME.getBytes());\n socketOut.write(username.getBytes());\n socketOut.write('\\n');\n socketOut.write(PASSPHRASE.getBytes());\n socketOut.write(new String(passphrase).getBytes());\n socketOut.write('\\n');\n socketOut.write(LIFETIME.getBytes());\n socketOut.write(Integer.toString(lifetime).getBytes());\n socketOut.write('\\n');\n if (credname != null) {\n socketOut.write(CREDNAME.getBytes());\n socketOut.write(credname.getBytes());\n socketOut.write('\\n');\n }\n socketOut.flush();\n\n line = readLine(socketIn);\n if (line == null) {\n throw new EOFException();\n }\n if (!line.equals(VERSION)) {\n throw new ProtocolException(\"bad MyProxy protocol VERSION string: \"\n + line);\n }\n line = readLine(socketIn);\n if (line == null) {\n throw new EOFException();\n }\n if (!line.startsWith(RESPONSE)\n \|\| line.length() != RESPONSE.length() + 1) {\n throw new ProtocolException(\n \"bad MyProxy protocol RESPONSE string: \" + line);\n }\n response = line.charAt(RESPONSE.length());\n if (response == '1') {\n StringBuffer errString;\n\n errString = new StringBuffer(\"MyProxy logon failed\");\n while ((line = readLine(socketIn)) != null) {\n if (line.startsWith(ERROR)) {\n errString.append('\\n');\n errString.append(line.substring(ERROR.length()));\n }\n }\n throw new FailedLoginException(errString.toString());\n } else if (response == '2') {\n throw new ProtocolException(\n \"MyProxy authorization RESPONSE not implemented\");\n } else if (response != '0') {\n throw new ProtocolException(\n \"unknown MyProxy protocol RESPONSE string: \" + line);\n }\n while ((line = readLine(socketIn)) != null) {\n if (line.startsWith(TRUSTROOTS)) {\n String filenameList = line.substring(TRUSTROOTS.length());\n trustrootFilenames = filenameList.split(\",\");\n trustrootData = new String[trustrootFilenames.length];\n for (int i = 0; i < trustrootFilenames.length; i++) {\n String lineStart = \"FILEDATA_\" + trustrootFilenames[i]\n + \"=\";\n line = readLine(socketIn);\n if (line == null) {\n throw new EOFException();\n }\n if (!line.startsWith(lineStart)) {\n throw new ProtocolException(\n \"bad MyProxy protocol RESPONSE: expecting \"\n + lineStart + \" but received \" + line);\n }\n trustrootData[i] = new String(Base64.decode(line\n .substring(lineStart.length())));\n }\n }\n }\n state = State.LOGGEDON;\n }", "@Override\n public void socket() {\n }", "private void establishServerConnection() {\n int lb_port = Integer.parseInt(gui.getLBPort_Text().getText());\n gui.getLBPort_Text().setEnabled(false);\n String lb_ip = gui.getLBIP_Text().getText();\n gui.getLBIP_Text().setEnabled(false);\n int server_port = Integer.parseInt(gui.getServerPort_Text().getText());\n gui.getServerPort_Text().setEnabled(false);\n String server_ip = gui.getServerIP_Text().getText();\n gui.getServerIP_Text().setEnabled(false);\n obtainId(server_ip, server_port);\n lbInfo = new ConnectionInfo(lb_ip, lb_port, 3);\n\n if (connection.startServer(server_port)) {\n connectionHandler = new ServerConnections(connection, lbInfo, requestsAnswered, processingRequests, gui.getCompleted_Text(), gui.getProcessing_Text());\n new Thread(connectionHandler).start();\n\n requestServerId();\n scheduler.scheduleAtFixedRate(heartbeat, 10, 10, TimeUnit.SECONDS);\n } else {\n gui.getLBPort_Text().setEnabled(true);\n gui.getLBIP_Text().setEnabled(true);\n gui.getServerPort_Text().setEnabled(true);\n gui.getServerIP_Text().setEnabled(true);\n gui.getButton_Connect().setEnabled(true);\n }\n }", "private boolean canConnect() {\n \t\treturn (currentlyConnectingSockets.get() < maxConnectingSockets)\n \t\t\t\t&& (currentlyOpenSockets.get() < maxOpenSockets);\n \t}", "public boolean auth(boolean reauth) throws IOException {\r\n log.debug(\"auth Authentication method starts\");\r\n if(alreadyAuthorized && !reauth) {\r\n \tlog.debug(\"auth Already Authorized.\");\r\n \treturn true;\r\n }\r\n\r\n AuthCmdPayload sendPayload = new AuthCmdPayload();\r\n log.debug(\"auth Sending CmdPacket with AuthCmdPayload: cmd=\" + Integer.toHexString(sendPayload.getCommand())\r\n + \" len=\" + sendPayload.getPayload().getData().length);\r\n\r\n log.debug(\"auth AuthPayload initial bytes to send: {}\", DatatypeConverter.printHexBinary(sendPayload.getPayload().getData()));\r\n\r\n DatagramPacket recvPack = sendCmdPkt(10000, 2048, sendPayload);\r\n\r\n byte[] data = recvPack.getData();\r\n \r\n if(data.length <= 0) {\r\n log.error(\"auth Received 0 bytes on initial request.\");\r\n alreadyAuthorized = false;\r\n return false;\r\n }\r\n\r\n log.debug(\"auth recv encrypted data bytes (\" + data.length +\") after initial req: {}\", DatatypeConverter.printHexBinary(data));\r\n\r\n byte[] payload = null;\r\n try {\r\n log.debug(\"auth Decrypting encrypted data\");\r\n\r\n payload = decryptFromDeviceMessage(data);\r\n\r\n log.debug(\"auth Decrypted. len=\" + payload.length);\r\n\r\n } catch (Exception e) {\r\n log.error(\"auth Received datagram decryption error. Aborting method\", e);\r\n alreadyAuthorized = false;\r\n return false;\r\n }\r\n\r\n log.debug(\"auth Packet received payload bytes: \" + DatatypeConverter.printHexBinary(payload));\r\n\r\n key = subbytes(payload, 0x04, 0x14);\r\n\r\n log.debug(\"auth Packet received key bytes: \" + DatatypeConverter.printHexBinary(key));\r\n\r\n if (key.length % 16 != 0) {\r\n log.error(\"auth Received key len is not a multiple of 16! Aborting\");\r\n alreadyAuthorized = false;\r\n return false;\r\n }\r\n\r\n // recreate AES object with new key\r\n aes = new AES(iv, key);\r\n\r\n id = subbytes(payload, 0x00, 0x04);\r\n\r\n log.debug(\"auth Packet received id bytes: \" + DatatypeConverter.printHexBinary(id) + \" with ID len=\" + id.length);\r\n\r\n log.debug(\"auth End of authentication method\");\r\n alreadyAuthorized = true;\r\n\r\n return true;\r\n }", "public boolean getWantClientAuth()\n {\n return wantClientAuth;\n }", "private static void esperarCliente() {\n try {\n socket = serverSocket.accept();\n System.out.println(\"Cliente conectado...\");\n } catch (IOException ex) {\n Logger.getLogger(ServidorUnicauca.class.getName()).log(Level.SEVERE, null, ex);\n }\n }", "private void acceptConnection() throws Exception {\n if (logger.isLoggable(BasicLevel.DEBUG))\n logger.log(BasicLevel.DEBUG, \"TcpConnectionListener.acceptConnection()\");\n\n Socket sock = proxyService.getServerSocket().accept();\n String inaddr = sock.getInetAddress().getHostAddress();\n\n connectionCount++;\n\n if (logger.isLoggable(BasicLevel.INFO))\n logger.log(BasicLevel.INFO, \" -> accept connection from \" + inaddr);\n\n try {\n sock.setTcpNoDelay(true);\n\n // Fix bug when the client doesn't use the right protocol (e.g. Telnet)\n // and blocks this listener.\n sock.setSoTimeout(timeout);\n\n InputStream is = sock.getInputStream();\n NetOutputStream nos = new NetOutputStream(sock);\n\n byte[] magic = StreamUtil.readByteArrayFrom(is, 8);\n for (int i = 0; i < 5; i++) {\n if (magic.length == i \|\| magic[i] != MetaData.joramMagic[i] && magic[i] > 0) {\n String errorMsg = \"Bad magic number. Client is not compatible with JORAM.\";\n protocolErrorCount++;\n throw new IllegalAccessException(errorMsg);\n }\n }\n if (magic[7] != MetaData.joramMagic[7]) {\n if (magic[7] > 0 && MetaData.joramMagic[7] > 0) {\n String errorMsg = \"Bad protocol version number \" + magic[7] + \" != \" + MetaData.joramMagic[7];\n protocolErrorCount++;\n throw new IllegalAccessException(errorMsg);\n }\n \n logger.log(BasicLevel.WARN,\n \"Wildcard protocol version number: from stream = \" + magic[7] + \", from MetaData = \" + MetaData.joramMagic[7]);\n }\n\n //read the ack mode(noAckedQueue)\n boolean noAckedQueue = StreamUtil.readBooleanFrom(is);\n if (logger.isLoggable(BasicLevel.DEBUG))\n logger.log(BasicLevel.DEBUG, \" -> read noAckedQueue = \" + noAckedQueue);\n if (noAckedQueue)\n TcpProxyService.createExecutors();\n \n long dt = Math.abs(StreamUtil.readLongFrom(is) - System.currentTimeMillis());\n if (dt > clockSynchroThreshold)\n logger.log(BasicLevel.WARN, \" -> bad clock synchronization between client and server: \" + dt);\n StreamUtil.writeTo(dt, nos);\n\n Identity identity = Identity.read(is);\n if (logger.isLoggable(BasicLevel.DEBUG))\n logger.log(BasicLevel.DEBUG, \" -> read identity = \" + identity);\n\n int key = StreamUtil.readIntFrom(is);\n if (logger.isLoggable(BasicLevel.DEBUG))\n logger.log(BasicLevel.DEBUG, \" -> read key = \" + key);\n\n int heartBeat = 0;\n if (key == -1) {\n heartBeat = StreamUtil.readIntFrom(is);\n if (logger.isLoggable(BasicLevel.DEBUG))\n logger.log(BasicLevel.DEBUG, \" -> read heartBeat = \" + heartBeat);\n }\n \n if (logger.isLoggable(BasicLevel.INFO))\n logger.log(BasicLevel.INFO, \" -> open connection \" + identity + \"/\" + key + \" - \" + heartBeat);\n \n GetProxyIdNot gpin = new GetProxyIdNot(identity, inaddr);\n AgentId proxyId;\n try {\n gpin.invoke(AdminTopic.getDefault());\n proxyId = gpin.getProxyId();\n } catch (Exception exc) {\n if (logger.isLoggable(BasicLevel.WARN))\n logger.log(BasicLevel.WARN, \" -> login failed\", exc);\n failedLoginCount++;\n StreamUtil.writeTo(1, nos);\n StreamUtil.writeTo(exc.getMessage(), nos);\n nos.send();\n return;\n }\n\n if (logger.isLoggable(BasicLevel.DEBUG))\n logger.log(BasicLevel.DEBUG, \" -> open connection, proxyId=\" + proxyId);\n \n IOControl ioctrl;\n ReliableConnectionContext ctx;\n if (key == -1) {\n OpenConnectionNot ocn = new OpenConnectionNot(Type.RELIABLE, heartBeat, noAckedQueue);\n ocn.invoke(proxyId);\n StreamUtil.writeTo(0, nos);\n ctx = (ReliableConnectionContext) ocn.getConnectionContext();\n key = ctx.getKey();\n StreamUtil.writeTo(key, nos);\n nos.send();\n ioctrl = new IOControl(sock);\n } else {\n GetConnectionNot gcn = new GetConnectionNot(key);\n try {\n gcn.invoke(proxyId);\n } catch (Exception exc) {\n if (logger.isLoggable(BasicLevel.WARN))\n logger.log(BasicLevel.WARN, \"TcpConnectionListener: reconnection failed\", exc);\n StreamUtil.writeTo(1, nos);\n StreamUtil.writeTo(exc.getMessage(), nos);\n nos.send();\n return;\n }\n ctx = (ReliableConnectionContext) gcn.getConnectionContext();\n StreamUtil.writeTo(0, nos);\n nos.send();\n ioctrl = new IOControl(sock, ctx.getInputCounter());\n\n // Close the remaining connection if it exists\n TcpConnection tcpConnection = proxyService.getConnection(proxyId, key);\n if (tcpConnection != null) {\n tcpConnection.close();\n }\n }\n\n // Reset the timeout in order to enable the server to indefinitely\n // wait for requests.\n sock.setSoTimeout(0);\n\n TcpConnection tcpConnection = new TcpConnection(ioctrl, ctx, proxyId, proxyService, identity);\n tcpConnection.start();\n } catch (IllegalAccessException exc) {\n if (logger.isLoggable(BasicLevel.ERROR))\n logger.log(BasicLevel.ERROR, \"TcpConnectionListener: close connection\", exc);\n sock.close();\n throw exc;\n } catch (IOException exc) {\n if (logger.isLoggable(BasicLevel.WARN))\n logger.log(BasicLevel.WARN, \"TcpConnectionListener: close socket\", exc);\n sock.close();\n throw exc;\n }\n }", "@SuppressWarnings(\"unchecked\")\n\tprivate synchronized boolean auth(Connection con, JsonObject receivedMSG) throws NullPointerException {\n\t\tJSONObject auth = new JSONObject();\n\t\tString command;\n\t\tString info;\n\n\t\t// If already authenticated then reply with invalid message\n\t\tif (broadConnections.contains(con)) {\n\t\t\tInvalidMessage response = new InvalidMessage();\n\t\t\tresponse.setInfo(\"Already authenticated in this server\");\n\t\t\tcon.writeMsg(response.toJsonString());\n\t\t\treturn true;\n\t\t}\n\t\t// Check if provided secret matches the setting\n\t\tString secret = receivedMSG.get(\"secret\").getAsString();\n\t\tif (!secret.equals(Settings.getSecret())) {\n\t\t\tcommand = AUTHENTICATION_FAIL;\n\t\t\t// String authFailMSG = toJsonString();\n\t\t\tinfo = \"the supplied secret is incorrect: \" + secret;\n\t\t\tauth.put(\"command\", command);\n\t\t\tauth.put(\"info\", info);\n\t\t\tcon.writeMsg(auth.toJSONString());\n\t\t\treturn false;\n\t\t}\n\t\tbroadConnections.add(con);\n\t\treturn true;\n\t}", "private boolean initializeContactToSocket(PrintWriter out, BufferedReader in) throws IOException {\n\t\tout.println(\"script:1:\" + getIP() + \":\" + mail + \":\" + password + \":\"\n\t\t\t\t+ getName() + \":\" + Worlds.getCurrent());\n\t\trespond = in.readLine();\n\t\tif (respond.contains(\"connected:1\")) {\n\t\t\tif(respond.split(\":\")[2] != null) {\n\t\t\t\tNex.USERNAME = respond.split(\":\")[2];\n\t\t\t}\n\t\t\tLog.fine(\"NexHelper has been initialized towards Nexus\");\n\t\t\treturn true;\n\t\t} else {\n\t\t\tLog.fine(\"Connection Towards Nexus failed\");\n\t\t\tmessageQueue.push(new DisconnectMessage(\"failed to initialize contact\"));\n\t\t\treturn false;\n\t\t}\n\t}", "private void setup_client_socket()\n {\n try\n {\n System.out.println(\"Setting up client socket\");\n final InetAddress addr = InetAddress.getByAddress(serverIP);\n //if you request a socket to a nonexistent addr, then\n requestSocket = new Socket(addr, 2008);\n \n out = new ObjectOutputStream(requestSocket.getOutputStream());\n out.flush();\n in = new ObjectInputStream(requestSocket.getInputStream());\n \n out.writeObject(\"confour\");\n System.out.println(\"waiting for response from server\");\n String msg = (String)in.readObject(); //waiting or starting\n System.out.println(\"readin: \"+ msg);\n\n if(msg.equals(\"waiting\"))\n {\n System.out.println(\"waiting for \\\"starting\\\"\");\n\n //create window\n\n wait_window.setDefaultCloseOperation(DISPOSE_ON_CLOSE);\n JButton accept = new JButton(\"CANCEL\");\n\n accept.addActionListener(new ActionListener() {\n @Override\n public void actionPerformed(ActionEvent e) \n {\n iquit = true;\n wait_window.dispose();\n }\n });\n\n wait_window.add(accept);\n wait_window.setLocation(300, 300);\n wait_window.setSize(400, 200);\n wait_window.setVisible(true);\n wait_window.paintAll(wait_window.getGraphics());\n //window done\n\n myTurn = true;\n System.out.println(\"its my turn\");\n }\n else\n {\n myTurn = false; \n System.out.println(\"its NOT my turn\");\n }\n }\n catch(ConnectException ce)\n {\n System.err.println(\"Connection timed out - invalid ip most like\");\n final JFrame quit_window = new JFrame(\"Unable to connect to given IP\");\n JButton accept = new JButton(\"OK\");\n accept.addActionListener(new ActionListener() {\n @Override\n public void actionPerformed(ActionEvent e) {\n quit_window.dispose();\n\n }\n });\n quit_window.add(accept);\n quit_window.setLocation(300, 300);\n quit_window.setSize(400, 200);\n quit_window.setVisible(true);\n this.dispose();\n }\n catch(ClassNotFoundException classNot)\n { \n System.err.println(\"data received in unknown format\"); \n }\n catch(UnknownHostException unknownHost)\n {\n System.err.println(\"You are trying to connect to an unknown host!\");\n final JFrame quit_window = new JFrame(\"Unable to connect to given IP - Unknown Host\");\n JButton accept = new JButton(\"OK\");\n accept.addActionListener(new ActionListener() {\n @Override\n public void actionPerformed(ActionEvent e) {\n quit_window.dispose();\n\n }\n });\n quit_window.add(accept);\n quit_window.setLocation(300, 300);\n quit_window.setSize(400, 200);\n quit_window.setVisible(true);\n this.dispose();\n }\n catch(IOException ioException)\n {\n ioException.printStackTrace();\n }\n }", "@SuppressWarnings(\"unchecked\")\n\tprivate synchronized boolean lockRequest(Connection con, JsonObject receivedMSG) throws NullPointerException {\n\t\tif (!broadConnections.contains(con)) {\n\t\t\tInvalidMessage invalidMsg = new InvalidMessage();\n\t\t\tinvalidMsg.setInfo(\"Unanthenticated server\");\n\t\t\tcon.writeMsg(invalidMsg.toJsonString());\n\t\t\treturn false;\n\t\t}\n\t\tString username = receivedMSG.get(\"username\").getAsString();\n\t\tString secret = receivedMSG.get(\"secret\").getAsString();\n\t\tJSONObject response = new JSONObject();\n\n\t\tfor (Connection server : broadConnections) {\n\t\t\tif (server != con) {\n\t\t\t\tserver.writeMsg(receivedMSG.getAsString());\n\t\t\t}\n\t\t}\n\n\t\t// If the user name does not exist in local database\n\t\t// store it now\n\t\tif (!userInfo.containsKey(username)) {\n\t\t\tresponse.put(\"command\", LOCK_ALLOWED);\n\t\t\tresponse.put(\"username\", username);\n\t\t\tresponse.put(\"secret\", secret);\n\t\t\tuserInfo.put(username, secret);\n\t\t\tfor (Connection server : broadConnections) {\n\t\t\t\tserver.writeMsg(response.toJSONString());\n\t\t\t}\n\n\t\t\treturn true;\n\t\t}\n\t\t// Otherwise return lock denied\n\t\tresponse.put(\"command\", LOCK_DENIED);\n\t\tresponse.put(\"username\", username);\n\t\tresponse.put(\"secret\", secret);\n\t\tfor (Connection server : broadConnections) {\n\t\t\tserver.writeMsg(response.toJSONString());\n\t\t}\n\t\treturn true;\n\t}", "@Override\n\t\t\tpublic void run() {\n\t\t\t\ts=new Socket();\n\t\t\t\ttry {\n\t\t\t\t\ts.connect(new InetSocketAddress(InetAddress.getByName(ip), 21111), 2000);\n\t\t\t\t\tin=s.getInputStream();\n\t\t\t\t\tdis=new DataInputStream(in);\n\t\t\t\t\tout=s.getOutputStream();\n\t\t\t\t\tdos=new DataOutputStream(out);\n\t\t\t\t\tsendString(pass);\n\t\t\t\t\twhile(state)\n\t\t\t\t\t{\n\t\t\t\t\t\tint bufferSize=dis.readInt();\n\t\t\t\t\t\tfinal byte[] buffer=new byte[bufferSize];\n\t\t\t\t\t\tdis.readFully(buffer);\n\t\t\t\t\t\t\n\t\t\t\t\t\trunOnUiThread(new Runnable() {\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t@Override\n\t\t\t\t\t\t\tpublic void run() {\n\t\t\t\t\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\t\t\t\t\tif(new String(buffer).equals(\"WRONG\"))\n\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\tToast.makeText(getApplicationContext(), \"wrong password\", Toast.LENGTH_LONG).show();\t\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\telse if(new String(buffer).equals(\"ACCEPT\"))\n\t\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\t\tToast.makeText(getApplicationContext(), \"ACCEPTED\", Toast.LENGTH_LONG).show();\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t});\n\t\t\t\t\t}\n\t\t\t\t\ts.close();\n\t\t\t\t\tstate=false;\n\t\t\t\t\tfinish();\n\t\t\t\t\t\n\t\t\t\t} catch (UnknownHostException e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t\tToast.makeText(getApplicationContext(), \"error first\", Toast.LENGTH_LONG).show();\n\t\t\t\t\t\n\t\t\t\t} catch (IOException e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t\tToast.makeText(getApplicationContext(), \"error first\", Toast.LENGTH_LONG).show();\n\t\t\t\t\t\n\t\t\t\t\tstate=false;\n\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}", "private void requestServerId() {\n connection.startClient(lbInfo.getIp(), lbInfo.getPort());\n System.out.println(\"Connected!\");\n connection.sendMessage(connectionInfo);\n }", "public abstract void createConnection(Socket socket, String userName);", "private void handleMiningAuthorize(\n final StratumConnection conn, final JsonRpcRequest message, final Consumer<String> sender) {\n String confirm;\n try {\n confirm = mapper.writeValueAsString(new JsonRpcSuccessResponse(message.getId(), true));\n } catch (JsonProcessingException e) {\n throw new IllegalStateException(e);\n }\n sender.accept(confirm);\n // ready for work.\n registerConnection(conn, sender);\n }", "public void setNeedClientAuth(boolean flag)\n {\n needClientAuth = flag;\n }", "public void conectServer() {\n\n\t}", "public void enableClient(){\r\n try{\r\n oos.writeObject(new DataWrapper(DataWrapper.CTCODE, new ControlToken(ControlToken.ENABLECODE)));\r\n oos.flush();\r\n } catch(IOException ioe) {\r\n ioe.printStackTrace();\r\n }\r\n }", "public static void AUTH_SUCCESS(int rand_cookie, int port_number, InetAddress address, int portUDP, int secretKey, int index) throws Exception {\n\t\tString clientCK_A = String.valueOf(rand_cookie) + String.valueOf(secretKey);\r\n\t\t\r\n\t\t// Update subscriber's CK_A, rand_cookie, and port_number\r\n\t\tlistClient.get(indexOfSearch).setCK_A(clientCK_A);\r\n\t\tlistClient.get(indexOfSearch).setCookie(rand_cookie);\r\n\t\tlistClient.get(indexOfSearch).setTcpPort(port_number);\r\n\t\t\r\n\t\t// Send over CK_A, encrypting it with subscriber's secretKey\r\n\t\t// Future transfers will use CK_A\r\n\t\tbyte[] buffer = AES.encrypt(clientCK_A, String.valueOf(secretKey)).getBytes();\r\n\t\tDatagramPacket packet = new DatagramPacket(buffer, buffer.length, address, portUDP);\r\n\t\tsocketUDP.send(packet);\r\n\t\t\r\n\t\t// Send over rand_cookie for CONNECT\r\n\t\tbuffer = AES.encrypt(String.valueOf(rand_cookie), listClient.get(indexOfSearch).getCK_A()).getBytes();\r\n\t\tpacket = new DatagramPacket(buffer, buffer.length, address, portUDP);\r\n\t\tsocketUDP.send(packet);\r\n\t\t\r\n\t\t// Send over TCP port for client use\r\n\t\tbuffer = AES.encrypt(String.valueOf(port_number), listClient.get(indexOfSearch).getCK_A()).getBytes();\r\n\t\tpacket = new DatagramPacket(buffer, buffer.length, address, portUDP);\r\n\t\tsocketUDP.send(packet);\r\n\t\t\r\n\t\t// Accept TCP connection request as well as\r\n\t\t// open input/output stream to that client.\r\n\t\t// Using client handler for multiple threads. This section may not be\r\n\t\t// necessary. \r\n\t\tlistClient.get(index).setClientSocket(socketTCP.accept());\r\n\t\tlistClient.get(index).setOut(new PrintWriter(listClient.get(index).getClientSocket().getOutputStream(), true));\r\n\t\tlistClient.get(index).setIn(new BufferedReader(new InputStreamReader(listClient.get(index).getClientSocket().getInputStream())));\r\n\t\t\r\n\t\t// Start new thread for this connection\r\n\t\tThread thread = new Thread(listClient.get(index));\r\n\t\tthread.start();\r\n\t}", "void open(String nameNport) {\n\tString[] token=nameNport.split(\":\");\n\tString host=token[0];\n\tint port=Integer.parseInt(token[1]);\n\tint proceedFlag=1;\n\tIterator<Socket> iterator=Connection.connections.iterator();\n\tif(host.equalsIgnoreCase(\"localhost\") \|\| host.equals(\"127.0.0.1\"))\n\t\thost=simpella.infoSocket.getLocalAddress().getHostAddress();\n\tif((host.equalsIgnoreCase(simpella.infoSocket.getLocalAddress().getHostAddress())\|\|host.equalsIgnoreCase(simpella.infoSocket.getLocalAddress().getCanonicalHostName()))&&(simpella.serverPortNo==port \|\| simpella.downloadPortNo==port)){\n\t\tproceedFlag=0;\n\t\tSystem.out.println(\"Client: Self Connect not allowed\");\n\t\t}\n\twhile(iterator.hasNext() && proceedFlag==1)\n\t{\n\t\tSocket sock=(Socket)iterator.next();\n\t\t\n\t\tif((host.equalsIgnoreCase(sock.getInetAddress().getHostAddress()) \|\| host.equalsIgnoreCase(sock.getInetAddress().getCanonicalHostName())) && port==sock.getPort()){\n\t\t\tproceedFlag=0; \n\t\t\tSystem.out.println(\"Client: Duplicate connection to same IP/port not allowed\");\n\t\t\tbreak;\n\t\t}\n\t\t\n\t}\n\tif(proceedFlag==1)\n\t\t{\n\t\n\t\n\tbyte type=04;\n\tMessage msg=new Message(type);\n\ttry {\n\t\tConnection.outgoingConnPackRecv[noOfConn]=0;\n\t\tConnection.outgoingConnPackSent[noOfConn]=0;\n\t\tConnection.outgoingConnPackSentSize[noOfConn]=0;\n\t\tConnection.outgoingConnPackRecvSize[noOfConn]=0;\n\t\t\n\t\tclientSideSocket[noOfConn]=new Socket(host,port);\n\t\tSystem.out.println(\"Client:TCP Connection established...Begin handshake\");\n\t\toutToServer[noOfConn]=new ObjectOutputStream(clientSideSocket[noOfConn].getOutputStream());\n\t\tinFromServer[noOfConn]=new ObjectInputStream(clientSideSocket[noOfConn].getInputStream());\n\t\tString strToServer=\"SIMPELLA CONNECT/0.6\\r\\n\";\n\t\tbyte[] byteArray= strToServer.getBytes(\"UTF-16LE\");\n\t\tmsg.setPayload(byteArray);\n \t\n\t\tSystem.out.println(\"Client:\"+new String(byteArray));\n\t\t//outToServer.writeUTF(\"SIMPELLA CONNECT/0.6\\r\\n\");\n\t\tConnection.outgoingConnPackSent[noOfConn]++;\n\t\tConnection.outgoingConnPackSentSize[noOfConn]+=byteArray.length+23;\n\t\toutToServer[noOfConn].writeObject((Object)msg);\n\t\tConnection.outgoingConnPackRecv[noOfConn]++;\n\t\t\n\t\tMessage msg1=(Message) inFromServer[noOfConn].readObject();\n\t\tbyte[] fromServer=msg1.getPayload();\n\t\tConnection.outgoingConnPackRecvSize[noOfConn]+=fromServer.length+23;\n\t\tString strFromServer=new String(fromServer);\n\t\tSystem.out.println(\"Server:\"+strFromServer);\n\t\tif(msg1.getMessage_type()==05)\n\t\t\t{\n\t\t\tstrToServer=\"SIMPELLA/0.6 200 thank you for accepting me\\r\\n\";\n\t\t\tbyte[] byteArray1= strToServer.getBytes(\"UTF-16LE\");\n\t\t\tMessage m=new Message((byte)05);\n\t\t\tm.setPayload(byteArray1);\n\t\t\tConnection.outgoingConnPackSent[noOfConn]++;\n\t\t\tConnection.outgoingConnPackSentSize[noOfConn]+=byteArray1.length+23;\n\t\t\toutToServer[noOfConn].writeObject((Object)m);\n\t\t\t\n\t\t\tConnection.connections.add(clientSideSocket[client.noOfConn]);\n\t\t\tConnection.outgoingConnection[client.noOfConn]=clientSideSocket[client.noOfConn];\n\t\t\tConnection.clientOutStream[client.noOfConn]=outToServer[client.noOfConn];\n\t\t\tnew clientSocketListen(clientSideSocket[noOfConn],outToServer[noOfConn],inFromServer[noOfConn]);\n\t\t\tupdate();\n\t\t\tnoOfConn++;\n\t\t\t//System.out.println(\"Client:num of conn=\"+noOfConn);\n\t\t\t}\n\t\telse\n\t\t\t{\n\t\t\t\tSystem.out.println(\"<open>:Cannot open connection to \"+host+\" at this time\");\n\t\t\t\tclientSideSocket[noOfConn].close();\n\t\t\t\tinFromServer[noOfConn].close();\n\t\t\t\toutToServer[noOfConn].close();\n//\t\t\t\tSystem.out.println(\"Client:num of conn=\"+noOfConn);\n\t\t\t}\n\t\t\n\t\t\n\t} catch (UnknownHostException e) {\n\t\tSystem.out.println(\"Unknown Host: Destination host unreachable\");\n\t\t//e.printStackTrace();\n\t} catch (Exception e) {\n\t\tSystem.out.println(\"Connection Refused/Destination host unreachable\");\n\t}\n\t\t}\n\t}", "private void InitiateRelevantActiveTransaction() {\n try {\n /\n Create a client socket with the host,\n * port, and timeout information.\n /\n mSocket = new Socket();\n mSocket.bind(null);\n mSocket.connect((new InetSocketAddress(mPeer.mIPAddr, Constants.WELCOME_SOCKET_PORT)), 3000);\n } catch (UnknownHostException e) {\n e.printStackTrace();\n return;\n } catch (IOException e) {\n e.printStackTrace();\n return;\n }\n\n if (mSocket == null) {\n return;\n }\n\n switch (mQueryCode) {\n case Constants.CONNECTION_CODE_DISCOVER: {\n ActiveDiscoveryProcedure();\n break;\n }\n }\n\n }", "@Override\r\n public Object connect() {\n if(status()){\r\n //creates thread that checks messages in the network\r\n System.out.println(\"notifying network that connection is good\");\r\n notifyObservers(this);\r\n }\r\n return socket;\r\n }", "void doClientSide() throws Exception {\n\n\t\tSSLSocketFactory sslsf = (SSLSocketFactory) SSLSocketFactory\n\t\t\t\t.getDefault();\n\t\tSSLSocket sslSocket = (SSLSocket) sslsf.createSocket(theServerName,\n\t\t\t\t12345);\n\t\t\n\t\tOutputStream sslOS = sslSocket.getOutputStream();\n\t\tsslOS.write(\"Hello SSL Server\".getBytes()); // Write to the Server\n\t\tsslOS.flush();\n\t\tsslSocket.close();\n\t}", "void clientConnected(Client client);", "private void connectToServer() {\n\n try {\n this.socket = new Socket(InetAddress.getByName(serverIP), this.port);\n\n oos = new ObjectOutputStream(socket.getOutputStream());\n oos.flush();\n ois = new ObjectInputStream(socket.getInputStream());\n\n Message connectMessage = new Message(Message.CLIENT_CONNECT);\n connectMessage.setMessage(userName);\n sendToServer(connectMessage);\n\n Message message;\n while (true){// wait for welcome message\n message = (Message) ois.readObject();\n if(message != null && message.getType() == Message.WELCOME){\n handleMessage(message);\n break;\n }\n }\n\n } catch (UnknownHostException e) {\n e.printStackTrace();\n System.exit(0);\n } catch (IOException e) {\n e.printStackTrace();\n } catch (ClassNotFoundException e) {\n e.printStackTrace();\n }\n }", "public void run() {\n System.out.println(\"Thread trying to create Object Input/Output Streams\");\n try\n {\n \t out_stream = socket.getOutputStream(); \n \t dos = new DataOutputStream(out_stream);\n \t output = new PrintWriter(socket.getOutputStream(), true);\n \t \n input = new BufferedReader( new InputStreamReader(socket.getInputStream()));\n \n \n }\n catch (IOException e) {\n System.out.println(\"Exception creating new Input/output Streams: \" + e);\n return;\n }\n System.out.println(\"Thread waiting for a String from the Client\");\n\n \n boolean active = true;\n \n //loop connection\n do{\n String cmd = null;\n \n if(socket.isConnected())\n\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t//line based input\n\t\t\t\t\t\t\tcmd = input.readLine(); \n\t\t\t\t\t\t} catch (IOException e) {\n\t\t\t\t\t\t\tauth_id=0;\n output.close();\n \n if(session0!=null)\n \tsession0.setLogout_time(System.currentTimeMillis());\n \n try {\n\t\t\t\t\t\t\t\tinput.close();\n\t\t\t\t\t\t\t} catch (IOException e1) {\n\t\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\t\tif(session0!=null)\n\t \tsession0.setLogout_time(System.currentTimeMillis());\n\t\t\t\t\t\t\t\te1.printStackTrace();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t // Handle the error\n\t\t\t\t\t\t}\n\n\n\t\t\t\t\t\t\n if(cmd != null){\n // System.out.println(\"\"+cmd+\"\");\n switch(cmd.charAt(0)){\n /\n username = client0\n\t\t\t\t\t\tpassword = oisjoseoisiusde\n\t\t\t\t\t\tkey = 0AnL]d`50m\n /\n \n \n case 'U' : username = cmd.substring(1);\n \t\t\t\tSystem.out.println(\"#\"+username+\"#\");\n \t\t\t\t//1. check if valid user in db\n \t\t\t\t\n \t\t\t\t//todo:\n \t\t\t\t//some security and length checks here\n \t\t\t\t\n \t\t\t\tString statement = \"select from snesnet.user where username like '\"+ username +\"'\";\n \t\t\t int db_userid=0;\n\t\t\t\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t\t\t\tdb_userid = dao.getIntFromqueryDB(statement, \"userid\");\n\t\t\t\t\t\t\t\t\t} catch (Exception e1) {\n\t\t\t\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\t\t\t\te1.printStackTrace();\n\t\t\t\t\t\t\t\t\t}\n \t\t\t\t\n\t\t\t\t\t\t\t\t\tif(db_userid!=0){\n\t\t\t\t\t\t\t\t\t\t\tif(addSession(username,db_userid)==0){ //2. is valid username - add session\n\t \t\t\t\t\t\tSystem.out.println(\"new session added: auth needed\");\n\t \t\t\t\t\t}else{\n\t \t\t\t\t\t\tSystem.out.println(\"old session: reauth needed\");\n\t \t\t\t\t\t\treauth=1;\n\t \t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\t\tid=db_userid;\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t// reference Session\n\t\t\t\t\t\t\t\t\tsession0 = getSession(db_userid);\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t//send iv\n\t\t\t\t\t\t\t\t\t\tiv = generateIV();\n\t\t\t\t\t\t\t\t\t\tSystem.out.println(\"iv test: \"+iv);\n\t\t\t\t\t\t\t\t\t\toutput.println(\"IV \"+iv);\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t}else{\n\t\t\t\t\t\t\t\t\t//send wrong username\n\t\t\t\t\t\t\t\t\t\toutput.println(\"ERROR\");\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\t\n \t\t\t\t\n \t\t\t\t//maybe add with unique db-id instead 1-333\n \t\t\t\n \t\t\t\n \t\t\t\tbreak;\n\t\t\t\t\t case 'P' : password = cmd.substring(1);\n\t\t\t\t\t System.out.println(\"#\"+password+\"#\");\n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\t String key=\"\";\n\t\t\t\t\t // System.out.println(\"id: \"+id);\n\t\t \t\t\t\tstatement = \"select * from snesnet.user where userid = '\"+ id +\"'\";\n\t\t \t\t\t \n\t\t\t\t\t\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\tkey = dao.getStringFromqueryDB(statement, \"key\");\n\t\t\t\t\t\t\t\t\t\t\t} catch (Exception e1) {\n\t\t\t\t\t\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\t\t\t\t\t\te1.printStackTrace();\n\t\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t \n\t\t\t\t\t String db_pw=\"\";\n\t\t\t\t\t // System.out.println(\"id: \"+id);\n\t\t \t\t\t\tstatement = \"select * from snesnet.user where userid = '\"+ id +\"'\";\n\t\t \t\t\t \n\t\t\t\t\t\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\tdb_pw = dao.getStringFromqueryDB(statement, \"password\");\n\t\t\t\t\t\t\t\t\t\t\t} catch (Exception e1) {\n\t\t\t\t\t\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\t\t\t\t\t\te1.printStackTrace();\n\t\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\t \t\tString iv_hex = bytesToHex(iv.getBytes());\n\t\t\t\t\t \t\tString key_hex = bytesToHex(key.getBytes());\n\t\t\t\t\t \t\tString pass_hex_crypt = password; //bytesToHex(password.getBytes());\n\n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\t // using the Runtime exec method:\n\t\t\t\t\t \tString exec = \"/home/tt/snesnet/trivium_cmd/trivium \"+key_hex+\" \"+iv_hex+\" \"+pass_hex_crypt;\n\t\t\t\t\t\t\t\t\t\t\tProcess p = null;\n\t\t\t\t\t\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t\t\t\t\t\tp = Runtime.getRuntime().exec(exec);\n\t\t\t\t\t\t\t\t\t\t\t} catch (IOException e1) {\n\t\t\t\t\t\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\t\t\t\t\t\te1.printStackTrace();\n\t\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t BufferedReader stdInput = new BufferedReader(new\n\t\t\t\t\t\t\t\t\t\t InputStreamReader(p.getInputStream()));\n\t\t\t\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t // read the output from the command\n\t\t\t\t\t\t\t\t\t\t \n\t\t\t\t\t\t\t\t\t\t String hex_pw = \"\"; \n\t\t\t\t\t\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t\t\t\t\t\tString tmp = null;\n\t\t\t\t\t\t\t\t\t\t\t\twhile ((tmp = stdInput.readLine()) != null) {\n\t\t\t\t\t\t\t\t\t\t\t\t\thex_pw = tmp.substring(5);\n\t\t\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\t\t} catch (IOException e1) {\n\t\t\t\t\t\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\t\t\t\t\t\te1.printStackTrace();\n\t\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\t \n\n\t\t\t\t\t\t\t\t\t\t // System.out.println(\"enc2: \"+hex_pw); //pw in hex\n\t\t\t\t\t\t\t\t\t\t\t StringBuilder decoded_pw = new StringBuilder();\n\t\t\t\t\t\t\t\t\t\t\t for (int i = 0; i < hex_pw.length(); i+=2) {\n\t\t\t\t\t\t\t\t\t\t\t String str = hex_pw.substring(i, i+2);\n\t\t\t\t\t\t\t\t\t\t\t decoded_pw.append((char)Integer.parseInt(str, 16));\n\t\t\t\t\t\t\t\t\t\t\t }\n\t\t\t\t\t\t\t\t\t\t\t System.out.println( \"decoded: \"+ decoded_pw);\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t//sqlquery :> if plain pw is the right one\n\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\tString user_esc = username; //todo escape me first\n\t\t\t\t\t\t\t\t\t\t\t\tString pass_esc = decoded_pw.toString(); //todo escape me first\n\n\t\t\t\t\t\t\t\t\t\t\t\tString auth_query = \"SELECT userid FROM snesnet.user WHERE username = '\"+user_esc+\"' AND password = (SHA1(CONCAT_WS(':','\"+user_esc+\"','\"+pass_esc+\"')))\"; \n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t \t\t\n\t\t\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t\t\t\t\t\t\tauth_id = dao.getIntFromqueryDB(auth_query, \"userid\");\n\t\t\t\t\t\t\t\t\t\t\t\t\t//not found -> null -> 0\n\t\t\t\t\t\t\t\t\t\t\t\t} catch (Exception e1) {\n\t\t\t\t\t\t\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\t\t\t\t\t\t\te1.printStackTrace();\n\t\t\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t/\t\t\t\t\t \n\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\tsleep(1000);\n\t\t\t\t\t\t} catch (InterruptedException e1) {\n\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\te1.printStackTrace();\n\t\t\t\t\t\t}\n\t\t\t\t\t\t/\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t\t\tif(auth_id!=0){\n\t\t\t\t\t\t\t\t\t\t\t\t\t System.out.println( \"auth: access granted\");\n\t\t\t\t\t\t\t\t\t\t\t\t\t output.println(\"OK\");\n\t\t\t\t\t\t\t\t\t\t\t\t}else{\n\t\t\t\t\t\t\t\t\t\t\t\t\t System.out.println( \"auth: access denied\");\n\t\t\t\t\t\t\t\t\t\t\t\t\t output.println(\"ERROR\");\n\t\t\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\t\t \n\t\t\t\t\t \n\t\t\t\t\t break;\n \n \n case 'C' : //command\n \t \t\t if(auth_id!=0){\n \t \t\t\t String value=cmd.substring(1);\n \t \t\t\t System.out.println(\"cmd: [\"+value+\"]\");\n \t \t\t\t \n \t \t\t\t \t\t//check if reauth\n \t \t\t\t \t\tif(reauth==0){\n \t \t\t\t \t\t\t//first byte is module id\n \t \t\t\t \t\t\tSystem.out.println(\"setting module:\"+value);\n \t \t\t\t \t\t\tswitch(value){\n \t \t\t\t \t\t\t case \"01\": session0.setModule(new TestModule(dos));\n \t \t\t\t \t\t\t \t\t\tbreak;\n \t \t\t\t \t\t\t case \"02\": session0.setModule(new DemoModule(dos));\n \t \t\t\t \t\t\t \t\t\t\t\t\tbreak; \t \t\t\t \t\t\t \t\t\t\n \t \t\t\t \t\t\t\n \t \t\t\t \t\t\t default: session0.setModule(new DummyModule(dos));\n \t \t\t\t \t\t\t}\n \t \t\t\t \t\t\t\n \t \t\t\t \t\t\t//setting in reauth mode not to add the next cmd as module\n \t \t\t\t \t\t\treauth=2;\n \t \t\t\t \t\t\n \t \t\t\t \t\t}else{\n \t \t\t\t \t\t\tif(reauth==1){ //real_reauth mode - set new dos\n \t \t\t\t \t\t\tSystem.out.println(\"setting new dos to module\");\n\t \t \t\t\t \t\t\tsession0.getModule().setDos(dos);\n\t \t \t\t\t \t\t\treauth=2;\n \t \t\t\t \t\t\t}\n \t \t\t\t \t\t\t\n \t \t\t\t \t\t\t//std module command\n \t \t\t\t \t\t\tsession0.getModule().setCommand(value);\n \t \t\t\t \t\t}\n\t\t \t \t\t\n\t\t \t \t\t \n\t\t \t \t\t\t/if(value.equals(\"ff\")){\n\t\t \t \t\t\tstartTime = System.currentTimeMillis();\n\t\t \t \t\t\t}else if (value.equals(\"00\")){\n\t\t \t \t\t\t long stopTime = System.currentTimeMillis();\n\t\t \t \t\t long elapsedTime = stopTime - startTime;\n\t\t \t \t\t System.out.println(\"benchmark - 100 bytes: \"+elapsedTime+\" ms\");\n\t\t \t \t\t\t}else{\n\t\t \t \t\t\t System.out.println(\"pkt counter: \"+ (++pkt_cnt));\n\t\t \t \t\t\t}\n\t\t \t \t\t\t/\n\t\t \t \t\t\t\n \t \t\t\t\n \t \t\t }\n \t \t\t //send command to modul inside session\n \t \t\t\tbreak;\n case 'Q' : //quit\n \t\t//log out\n \t try {\n \t \t auth_id=0;\n \t \t session0.setLogout_time(System.currentTimeMillis());\n \t \t \t active=false;\n output.close();\n input.close();\n System.out.println(\"Client quit\");\n }\n catch (Exception e) { \n }\n \t\n \tbreak;\n case 'X' : //clearList(output, input); \n \t\t\t\tbreak; //clear finished stopped\n \tdefault : break;\n }\n }else{\n \t //nullstring -> quit client\n \t try {\n \t \t auth_id=0;\n \t \t session0.setLogout_time(System.currentTimeMillis());\n \t \t \t active=false;\n output.close();\n input.close();\n System.out.println(\"Client quit\");\n }\n catch (Exception e) { \n }\n }\n \n //still active?\n }while(active);\n \n \n }", "public final boolean isSecure(Socket sock)\n/* / throws IllegalArgumentException\n/ / {\n/ 168 / if (sock == null) {\n/ 169 / throw new IllegalArgumentException(\"Socket may not be null.\");\n/ / }\n/ / \n/ / \n/ / \n/ 174 / if (sock.getClass() != Socket.class) {\n/ 175 / throw new IllegalArgumentException(\"Socket not created by this factory.\");\n/ / }\n/ / \n/ / \n/ / \n/ 180 / if (sock.isClosed()) {\n/ 181 / throw new IllegalArgumentException(\"Socket is closed.\");\n/ / }\n/ / \n/ 184 / return false;\n/ / }", "public void run() {\n try {\n\n // Create character streams for the socket.\n in = new BufferedReader(new InputStreamReader(\n socket.getInputStream()));\n out = new PrintWriter(socket.getOutputStream(), true);\n System.out.println(\"...\"+socket.getInetAddress());\n\n // Request a name from this client. Keep requesting until\n // a name is submitted that is not already used. Note that\n // checking for the existence of a name and adding the name\n // must be done while locking the set of names.\n while (true) {\n out.println(\"SUBMIT NAME\");\n name = in.readLine();\n \tString[] arr= name.split(\":\", 2);\n \tname= arr[1];\n if (name == null) {\n return;\n }\n if (!ip.contains(socket.getInetAddress())) {\n ip.add(socket.getInetAddress());\n }\n else\n {\n \tout.println(\"already opened once.\");\n \tcontinue;\n }\n synchronized (clientOut) {\n if (clientOut.get(name) == null) {\n client.put(count, name);\n id= count;\n break;\n }\n }\n }\n\n // Now that a successful name has been chosen, add the\n // socket's print writer to the set of all writers so\n // this client can receive broadcast messages.\n clientOut.put(name, out);\n out.println(\"NAMEACCEPTED\"+name);\n //adding online users to the new user.\n for (int i= 0;i < count;i++) {\n \tString str;\n\t\t\t\t\tif((str= (String)client.get(i)) != null)\n \t\tout.println(\"TAB\"+i+str);\n }\n \n //adding new user to all the users who are online.\n for (int i= 0;i < count;i++) {\n \tPrintWriter wrt;\n \tif((wrt= clientOut.get(client.get(i))) != null)\n \t\twrt.println(\"TAB\"+count+name);\n }\n count++;\n\n // Accept messages from this client and broadcast them.\n // Ignore other clients that cannot be broadcasted to.\n while (true) {\n \tString input= in.readLine();\n \tchar c1;\n \tint c2;\n \tString[] arr= input.split(\":\", 2);\n \tif(arr[0].equals(\"FILE\"))\n \t{\n \t\tString[] arr1= input.split(\":\", 3);\n \t\tPrintWriter p= clientOut.get(client.get(Integer.valueOf(arr1[1])));\n \t\tp.println(\"FILE:\"+id+\":\"+arr1[2]);\n \t\twhile((input= in.readLine()) != \"stop\")\n \t\t{\n \t\t\tp.println(input);\n \t\t\tp.flush();\n \t\t}\n \t\tp.println(\"stop\");\n \t\tp.flush();\n \t\tSystem.out.println(\"sent.........\");\n/ \t\twhile((c2= in.read()) != -1)\n \t\t{\n \t\t\tc1= (char) c2;\n \t\t\tp.print(c1);\n \t\t\tp.flush();\n \t\t\tSystem.out.print(c2);\n \t\t}\n \t\tSystem.out.println(c2+\".......\");\n \t\tp.print((char)-1);/\n \t}\n \telse\n \t\tclientOut.get(client.get(Integer.valueOf(arr[0]))).println(\"MESSAGE:\"+id+\":\"+name+\":\"+arr[1]);\n }\n } catch (IOException e) {\n System.out.println(e);\n } finally {\n // This client is going down! Remove its name and its print\n // writer from the sets, and close its socket.\n \t//remove this client from every other client.(TAB)\n \tfor (int i= 0;i < count;i++) {\n \t\tPrintWriter wrt;\n\t\t\t\t\tif(i != id && (wrt= clientOut.get(client.get(i))) != null)\n \t\t\twrt.println(\"REMOVE\"+id);\n }\n\n if (name != null) {\n \tclient.remove(id);\n \tclientOut.remove(name);\n \tip.remove(socket.getInetAddress());\n }\n try {\n socket.close();\n } catch (IOException e) {\n }\n }\n }", "public static void initSocketClient(){\r\n\r\n try{\r\n //connectToProfilingServer();\r\n //setupClientStreams();\r\n handleData();\r\n }catch (EOFException eofe){\r\n eofe.printStackTrace();\r\n //TODO - send error message to server, we won't handle it here\r\n }catch (java.io.IOException ioe){\r\n ioe.printStackTrace();\r\n //TODO - send error message to server, we won't handle it here\r\n }catch (ClassNotFoundException ccne){\r\n ccne.printStackTrace();\r\n //TODO - send error message to server, we won't handle it here\r\n }finally {\r\n //closeSocketClient();\r\n }\r\n }", "boolean authNeeded();", "private void initialize(){\n\t\ttry\n\t\t{\n\t\t\tString[] packet = setPacket();\n\t\t\tif (validatePacket(packet))\n\t\t\t{\n\t\t\t\tsend(packet);\n\t\t\t}\n\t\t}\n\t\tcatch (Exception e)\n\t\t{\n\t\t\tSystem.out.println(e.getMessage());\n\t\t\tSystem.out.println(\"Something went wrong...\");\n\t\t\tresetClient();\n\t\t}\n\t}", "@Override\n public IBinder onBind(Intent intent) {\n if(org.mcopenplatform.muoapi.BuildConfig.DEBUG)Log.d(TAG,\"onBind packet client: \"+getApplicationContext().getPackageName()+\" 6\");\n Signature[] sigs = new Signature[0];\n\n try {\n sigs = getPackageManager().getPackageInfo(getPackageName(), PackageManager.GET_SIGNATURES).signatures;\n } catch (PackageManager.NameNotFoundException e) {\n if(org.mcopenplatform.muoapi.BuildConfig.DEBUG)Log.e(TAG,\"Error in get sign \"+e.getMessage());\n }\n for (Signature sig : sigs)\n {\n if(org.mcopenplatform.muoapi.BuildConfig.DEBUG)Log.i(TAG, \"Signature hashcode : \"+ sig.hashCode());\n }\n String[] paramets;\n if((paramets=checkPermission(this))!=null && paramets.length>0){\n PermissionRequestUtils.requestPermissions(this,paramets);\n }else{\n if(org.mcopenplatform.muoapi.BuildConfig.DEBUG){\n Log.d(TAG,\"The SDK has all the permissions\"); }\n }\n if(startIntent != null){\n intent=startIntent;\n }\n return engine.newClient(intent,this,false);\n }", "public boolean init()\n\t{\n\t\tboolean ret = false;\n\t\ttry\n\t\t{\n\t\t\tsocket = new Socket(Setting.SERVER_IP, Setting.SERVER_PORT);\n\t\t\tis = new BufferedReader(new InputStreamReader(socket.getInputStream()));\n\t\t\tos = new PrintWriter(socket.getOutputStream());\n\t\t\t\n\t\t\tsentInitInfo();\n\t\t\t\n\t\t\tThread listeningThread = new Thread(listenRunnable);\n\t\t\tlisteningThread.start();\n\t\t\t\n\t\t\tret = true;\n\t\t}\n\t\tcatch (UnknownHostException e)\n\t\t{\n\t\t\te.printStackTrace();\n\t\t}\n\t\tcatch (IOException e)\n\t\t{\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn ret;\n\t}", "public synchronized boolean start(){\n \n\t\t/\n\t\t CONNECT TO SERVER\n\t\t /\n\t\tboolean connection = connectToServer(oml_server);\n \n\t\t/\n\t\t CREATE THE HEADER\n\t\t /\n\t\tcreate_head();\n \n\t\t/\n\t\t SEND THE HEADER\n\t\t /\n\t\tboolean injection = inject_head();\n\t\t\n\t\tif( connection && injection ){\n\t\t\treturn true;\n\t\t}else{\n\t\t\treturn false;\n\t\t}\n\t}", "public interface ClientInterface {\n boolean openConnection();\n void handleSession();\n void closeSession();\n}", "public abstract void onClientConnect(ClientWrapper client);", "@Override\n public boolean isClientAuthEnabled() {\n return true;\n }", "public boolean getNeedClientAuth()\n {\n return needClientAuth;\n }", "protected abstract boolean isConnected();", "private void connect() {\n\t\ttry {\n\t\t\tsocket = new Socket(Server.ADDRESS, Server.PORT_NUMBER);\n\t\t\tthis.oos = new ObjectOutputStream(socket.getOutputStream());\n\t\t\tthis.ois = new ObjectInputStream(socket.getInputStream());\n\t\t\tServerListener serverlistener = new ServerListener();\n\t\t\tserverlistener.start();\n\t\t\tRequest request = new Request(RequestCode.START_DOCUMENT_STREAM);\n\t\t\trequest.setUsername(user.getUsername());\n\t\t\toos.writeObject(request);\n\t\t} catch (IOException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "public void run() {\n // variables to store key HTTP(S) request information\n String sReadLine;\n boolean bNewHTTPHeader = true;\n String sHTTPMethod = \"\";\n String sHTTPRequest = \"\";\n boolean bPersistentConnection = true;\n\n // print the client IP:port\n System.out.println(\"client \" + connectedClient.getInetAddress() + \":\"\n + connectedClient.getPort() + \" is connected\");\n System.out.println();\n\n // create BufferedReader to read in from socket & DataOutputStream to send out to socket\n try {\n inFromClient = new BufferedReader(new InputStreamReader(connectedClient.getInputStream()));\n outToClient = new DataOutputStream(connectedClient.getOutputStream());\n\n } catch (IOException e) {\n System.out.println(\"There was an error setting up the buffered reader, \" +\n \"data stream, or reading from the client:\");\n System.out.println(\" \" + e);\n }\n\n // process the HTTP(S) request\n try {\n // break apart the input to read the http method and request\n while ((sReadLine = inFromClient.readLine()) != null) {\n // create a tokenizer to parse the string\n StringTokenizer tokenizer = new StringTokenizer(sReadLine);\n\n // if new HTTP header, then pull out the Method and Request (first line)\n if (bNewHTTPHeader) {\n sHTTPMethod = tokenizer.nextToken().toUpperCase(); // HTTP method: GET, HEAD\n sHTTPRequest = tokenizer.nextToken().toLowerCase(); // HTTP query: file path\n bNewHTTPHeader = false; // next lines are not part of a new HTTP header\n\n // print to console\n System.out.println(\"New HTTP Header:\");\n System.out.println(\" HTTP Method: \" + sHTTPMethod);\n System.out.println(\" HTTP Request: \" + sHTTPRequest);\n\n // not a new HTTP header: check for key params Connection or empty line\n } else if (sReadLine.length() > 0) {\n // get the next token in the input line\n String sParam = tokenizer.nextToken();\n\n // check to update connection status\n if (sParam.equalsIgnoreCase(\"Connection:\")) {\n String sConnectionRequest = tokenizer.nextToken();\n bPersistentConnection = (sConnectionRequest.equalsIgnoreCase(\"keep-alive\"));\n // print param to console\n System.out.println(\" param: \" + sParam + \" \" + sConnectionRequest);\n } else {\n // otherwise just print param to console\n System.out.println(\" param: \" + sParam);\n }\n\n // no more lines to header: header is over\n } else {\n //print to console\n System.out.println(\"End of Header\");\n System.out.println();\n\n // get the status code & response, then send back to client\n int iStatusCode = getStatusCode(sHTTPMethod, sHTTPRequest);\n String sResponse = getResponse(sHTTPMethod, sHTTPRequest, iStatusCode);\n sendResponse(sHTTPMethod, sHTTPRequest, iStatusCode, sResponse, bPersistentConnection);\n\n // next line is part of a new HTTP header\n bNewHTTPHeader = true;\n }\n }\n\n // loop has ended: client input is null (client must want to disconnect)\n this.connectedClient.close();\n System.out.println(\"input from client \" + connectedClient.getInetAddress() +\n + connectedClient.getPort() + \" is null. This socket closed.\");\n } catch (IOException e) {\n System.out.println(\"There was an error reading the HTTP request:\");\n System.out.println(\" \" + e);\n }\n }", "public void run() {\n try {\n //Create the input object stream and output object stream for this client\n toClient = new ObjectOutputStream(client.getOutputStream());\n fromClient = new ObjectInputStream(client.getInputStream());\n login = false;\n\n while (!login) {/Wait for a client to login/\n try {\n receviedProtocol = (Protocol) fromClient.readObject();\n if (receviedProtocol.getMethod().equals(\"HELP\"))\n sendHelpMenu();\n else if (receviedProtocol.getMethod().equals(\"LOGIN\")) {\n authorize(receviedProtocol);\n login = true;\n }\n\n } catch (Exception e) {\n e.printStackTrace();\n }\n }\n\n logout = false;\n while (!logout) {/Keep conncetion between client and server until the client logout/\n try{\n receviedProtocol = (Protocol)fromClient.readObject(); //Wait for client input\n startIndex = 0;//This will be used to track the starting point of next n groups to be send\n if(receviedProtocol.getMethod().equals(\"AG\"))\n allGroupHandler(receviedProtocol);\n else if(receviedProtocol.getMethod().equals(\"LOGOUT\")){\n logout();\n logout = true;\n }\n }catch (Exception e){\n e.printStackTrace();\n }\n\n }\n\n } catch (IOException e) {\n System.out.println(e);\n\n } finally {\n try {\n client.close();\n } catch (IOException e) {\n System.out.println(e);\n }\n }\n }", "private boolean initClients(boolean useCert) {\n try {\n _defaultClient = _vcVlsi.connect(_vcCreds, useCert, false);\n _cloneClient = _vcVlsi.connect(_vcCreds, useCert, true);\n if ((_defaultClient == null) \|\| (_cloneClient == null)) {\n _log.log(Level.WARNING, \"Unable to get VC client\");\n return false;\n }\n return true;\n } catch (Exception e) {\n _log.log(Level.WARNING, \"VC connection failed (\"+e.getClass()+\"): \"+e.getMessage());\n return false;\n }\n }", "@Override\n public void doConnect() throws IOException {\n if (!sc.finishConnect()) {\n return; // the selector gave a bad hint\n }\n\n // Sending login private\n var bb = ByteBuffer.allocate(1 + Long.BYTES);\n bb.put((byte) 9).putLong(connectId);\n queueMessage(bb.flip());\n\n updateInterestOps();\n }", "public boolean isFirstToConnect() throws IOException;", "private void start_Connexion()throws UnknownHostException, IOException{\n \tsocket = new Socket(IP,num_Socket);\n \tout = new ObjectOutputStream(socket.getOutputStream());\n \tin = new ObjectInputStream(socket.getInputStream());\n \t\n }", "protected synchronized boolean isSockOpen(){\n\t\ttry{\n\t\t\tif(out.checkError()){\n\t\t\t\treturn false;\n\t\t\t}\n\t\t}catch(Exception e){\n\t\t\treturn false;\n\t\t}\n\t\treturn true;\n\t}", "public Object getService(String service) {\n try {\n Socket authServer = new Socket(AUTH_ADDRESS, AUTH_PORT); //Connect to authentication server.\n //Set up objects to read and write responses to and from them server.\n ObjectInputStream objIn = new ObjectInputStream(authServer.getInputStream());\n ObjectOutputStream objOut = new ObjectOutputStream(authServer.getOutputStream());\n //Challenge the server and verify it.\n PublicKey serverKey = AuctionSecurity.getPublicKey(\"Server\");\n System.out.print(\"Verifying server.... \");\n if (!AuctionSecurity.initiateChallenge(objIn, objOut, serverKey)) { //If we can't verify, then we exit.\n System.out.println(\"Signature of server does not match nonce challenge, invalid server connection.\");\n return null;\n }\n System.out.println(\"Server verified!\");\n //Identify ourselves with the server\n System.out.print(\"Authenticating credentials.... \");\n objOut.writeObject(this.name); //State who we are to the server\n AuctionSecurity.recieveChallenge(objIn, objOut, privateKey); //Await and deal with our challenge\n if (!objIn.readObject().equals(\"verified\")) { //Check servers result\n System.out.println(\"Server rejected verification of user.\");\n return null;\n }\n System.out.println(\"Credentials confirmed!\");\n objOut.writeObject(service); //Send our service request string.\n return getServiceObject((SealedObject[]) objIn.readObject()); //Retreive our service object the server is sending us.\n } catch (IOException ex) {\n System.out.println(\"Can't aquire service: \" + service + \" from authentication server.\");\n System.exit(1);\n } catch (ClassNotFoundException ex) {\n System.out.println(\"Service not found.\");\n }\n\n return null;\n }", "private void handleWhiteboardSynchronization() {\n String userName = EventMessageParser.extractUserName(this.message);\n\n if (StringHelper.isNullOrEmpty(userName)) {\n for (SocketConnection peer : SocketManager.getInstance()\n .getNotManagerConnectionList()) {\n peer.send(this.message);\n }\n } else {\n SocketConnection connection = SocketManager.getInstance()\n .getUserConnection(userName);\n connection.send(this.message);\n }\n }", "ClientHandler(Socket socket) {\n this.client = socket;\n }", "private boolean startNewSession(SECCDiscoveryRes seccDiscoveryRes) {\n\t\tif (seccDiscoveryRes != null) {\n\t\t\t// Reset SECCDiscoveryReq retry counter\n\t\t\tsetSeccDiscoveryRequestCounter(0);\n\t\t\t\n\t\t\tInet6Address seccAddress;\n\t\t\t\n\t\t\ttry {\n\t\t\t\t// TODO seems to work, but is the needed scope ID really the one of the UDP client?\n\t\t\t\tseccAddress = Inet6Address.getByAddress(\n\t\t\t\t\t\t\t\t\t\tInetAddress.getByAddress(seccDiscoveryRes.getSeccIPAddress()).getHostAddress(),\n\t\t\t\t\t\t\t\t\t\tseccDiscoveryRes.getSeccIPAddress(), \n\t\t\t\t\t\t\t\t\t\tUDPClient.getInstance().getUdpClientAddress().getScopeId()\n\t\t\t\t\t\t\t\t\t);\n\t\t\t} catch (UnknownHostException e) {\n\t\t\t\tgetLogger().fatal(\"SECC address could not be resolved\", e);\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\t\n\t\t\tgetLogger().info(\"UDP server responded: SECC reachable at address \" + \n\t\t\t\t\t\t\t seccAddress.getHostAddress() + \" and port \" + \n\t\t\t\t\t\t\t ByteUtils.toIntFromByteArray(seccDiscoveryRes.getSeccPort())); \n\t\t\t\n\t\t\tif (!startTransportLayerClient(seccDiscoveryRes, seccAddress)) return false;\n\t\t\t\n\t\t\tsetV2gCommunicationSessionEVCC(new V2GCommunicationSessionEVCC(getTransportLayerClient()));\n\t\t\t\n\t\t\t/\n\t\t\t * Tell the TCP- or TLSClient to notify if \n\t\t\t * - a new V2GTPMessage has arrived\n\t\t\t * - a timeout has occurred while waiting for the respective response message\n\t\t\t /\n\t\t\tgetTransportLayerClient().addObserver(getV2gCommunicationSessionEVCC());\n\t\t\t\n\t\t\tgetV2gCommunicationSessionEVCC().addObserver(this);\n\t\t\t\n\t\t\t// Set TLS security flag for communication session\n\t\t\tboolean secureConn = (((Byte) getSecurity()).compareTo((Byte) GlobalValues.V2G_SECURITY_WITH_TLS.getByteValue()) == 0) ? true : false;\n\t\t\tgetV2gCommunicationSessionEVCC().setTlsConnection(secureConn);\n\t\t\t\n\t\t\tsendSupportedAppProtocolReq();\n\t\t} else {\n\t\t\tgetLogger().fatal(\"Maximum number of SECCDiscoveryReq messages reached\");\n\t\t\treturn false;\n\t\t}\n\t\t\n\t\treturn true;\n\t}", "public void checkPermission (Socket socket, LogEvent evt) throws ISOException\n {\n if (specificIPPerms.isEmpty() && wildcardAllow == null && wildcardDeny == null)\n return;\n\n String ip= socket.getInetAddress().getHostAddress (); // The remote IP\n\n // first, check allows or denies for specific/whole IPs (no wildcards)\n Boolean specificAllow= specificIPPerms.get(ip);\n if (specificAllow == Boolean.TRUE) { // specific IP allow\n evt.addMessage(\"access granted, ip=\" + ip);\n return;\n\n } else if (specificAllow == Boolean.FALSE) { // specific IP deny\n throw new ISOException(\"access denied, ip=\" + ip);\n\n } else { // no specific match under the specificIPPerms Map\n // We check the wildcard lists, deny first\n if (wildcardDeny != null) {\n for (String wdeny : wildcardDeny) {\n if (ip.startsWith(wdeny)) {\n throw new ISOException (\"access denied, ip=\" + ip);\n }\n }\n }\n if (wildcardAllow != null) {\n for (String wallow : wildcardAllow) {\n if (ip.startsWith(wallow)) {\n evt.addMessage(\"access granted, ip=\" + ip);\n return;\n }\n }\n }\n\n // Reaching this point means that nothing matched our specific or wildcard rules, so we fall\n // back on the default permission policies and log type\n switch (ipPermLogPolicy) {\n case DENY_LOG: // only allows were specified, default policy is to deny non-matches and log the issue\n throw new ISOException (\"access denied, ip=\" + ip);\n // break;\n\n case ALLOW_LOG: // only denies were specified, default policy is to allow non-matches and log the issue\n evt.addMessage(\"access granted, ip=\" + ip);\n break;\n\n case DENY_LOGWARNING: // mix of allows and denies were specified, but the IP matched no rules!\n // so we adopt a deny policy but give a special warning\n throw new ISOException (\"access denied, ip=\" + ip + \" (WARNING: the IP did not match any rules!)\");\n // break;\n\n case ALLOW_NOLOG: // this is the default case when no allow/deny are specified\n // the method will abort early on the first \"if\", so this is here just for completion\n break;\n }\n\n }\n // we should never reach this point!! :-)\n }", "public synchronized boolean set_connection_socket(String add, int port) {\n //handle socket in UI thread\n StrictMode.ThreadPolicy policy = new StrictMode.ThreadPolicy.Builder().permitAll().build();\n StrictMode.setThreadPolicy(policy);\n\n socketaddress = add;\n socketport = port;\n try {\n socket = new Socket(add,port);\n } catch (IOException e) {\n e.printStackTrace();\n return false;\n }\n return true;\n }", "private void loginClient() throws IOException {\n\t\tString instanceID = UUID.randomUUID().toString();\r\n\t\tString loginName = fromClient.readLine();\r\n\t\t\r\n\t\tif (clientTable.has(loginName)) {\r\n\t\t\tString password = fromClient.readLine();\r\n\t\t\t\r\n\t\t\tif (!clientTable.testPassword(loginName, password)) toClient.println(Commands.INVALID_PASSWORD);\r\n\t\t\telse {\r\n\t\t\t\tReport.behaviour(loginName + \" has connected\");\r\n\t\t\t\t\r\n\t\t\t\t//tells the client the connection was a success\r\n\t\t\t\ttoClient.println(Commands.CONNECTION_SUCCESS);\r\n\t\t\t\t\r\n\t\t\t\t//adds a running queue to the account\r\n\t\t\t\tclientTable.addQueue(loginName, instanceID);\r\n\t\t\t\t\r\n\t\t\t\t//create threads\r\n\t\t\t\tmakeThreads(loginName, instanceID);\r\n\t\t\t}\r\n\t\t} \r\n\t\t\r\n\t\t//send error messages if the login was unsuccessful\r\n\t\telse toClient.println(Commands.USER_NOT_FOUND);\r\n\t}", "public interface SocketControl {\n\n /\n 获取服务的IP和端口\n * @return 格式:ip:port,如127.0.0.1:8080\n /\n String getIpPort();\n\n /\n 获取服务的ServiceId\n * @return 服务的ServiceId\n /\n String getServiceId();\n\n /\n 获取服务的InstanceId\n * @return 服务的InstanceId\n /\n String getInstanceId();\n\n\n /\n 获取模块名称，也可以直接调用getIpPort()\n * @return 模块名称\n /\n String getModelName();\n\n\n /\n 模块下连接的标示\n * @param channel 管道对象\n * @return uk\n /\n String getUniqueKey(Channel channel);\n\n\n /\n 模块下连接的标示\n * @param ctx 管道对象\n * @return uk\n /\n String getUniqueKey(ChannelHandlerContext ctx);\n\n\n /\n 绑定key\n * @param ctx 当前连接对象\n * @param key key\n /\n void bindKey(ChannelHandlerContext ctx,String key);\n\n /\n 绑定key\n * @param ctx 当前连接对象\n * @param key key\n /\n void bindKey(Channel ctx,String key);\n\n /\n 获取key\n * @param ctx 当前链接对象\n * @return key\n /\n String getKey(Channel ctx);\n\n /\n 获取key\n * @param ctx 当前链接对象\n * @return key\n /\n String getKey(ChannelHandlerContext ctx);\n\n\n /\n 重置心跳时间\n * @param ctx 当前连接对象\n * @param heartTime 心跳时间(秒)\n */\n void resetHeartTime(Channel ctx,int heartTime);\n\n\n\n}", "private void connectAndLogonIfRequired() {\n\t\tloadFtpConfiguration();\n\t\ttry{\n\t\t\tif (!client.isConnected()){\n\t\t\t\t\n\t\t\t\tprintConsole(\"Connecting \"+ HOST);\n\t\t\t\tprintConsole(\"Port \"+ PORT);\n\t\n\t\t\t\tclient.setRemoteHost(HOST);\n\t\t\t\tclient.setRemotePort(PORT);\n\t\t\t\t\n\t\t\t\t//Encoding\n\t\t\t\tclient.getAdvancedSettings().setControlEncoding(ENCODING);\n\t\t\t\t\n\t\t\t\t//Default mode in AndFTP\n\t\t\t\t//Passive mode\n\t\t\t\tclient.getAdvancedFTPSettings().setConnectMode(FTPConnectMode.PASV);\n\t\t\t\tprintConsole(\"Added passive mode\");\n\t\t\t}\n\n\t\t\tif (!client.isConnected()){\n\t\t\t\tprintConsole(\"User: \"+USERNAME);\n\t\t\t\tprintConsole(\"Pass: HIDDEN\");\n\t\t\t\t\n\t\t\t\tclient.setUserName(USERNAME);\n\t\t\t\tclient.setPassword(PASSWORD); \t\t\t\t\n\t\t\t\t\n\t\t\t\tclient.connect();\n\t\t\t\tprintConsole(\"STATUS: Authenticated\");\t\t\t\t\t\t\t\t\n\t\t\t}\n\n\t\t} catch (IllegalStateException e) {\n\t\t\tprintExceptionConsole(e);\t\t\t\t\t\n\t\t} catch (IOException e) {\n\t\t\tprintExceptionConsole(e);\t\t\t\t\t\n\t\t} catch (FTPException e) {\n\t\t\tprintExceptionConsole(e);\t\t\t\t\t\n\t\t}\t\t\n\t}", "private static void checkConfiguration() {\n try {\n ClientManager.rebuildSocket();\n ClientManager.closeSocket();\n } catch (IOException e) {\n new NetworkNotAvailableErrorStarter(NetworkNotAvailableError.class, null);\n }\n }", "protected abstract void onConnect();", "private void handleAccept(SelectionKey sk) throws IOException {\n\t\t\tSocketChannel accepted_channel = server_socket_channel.accept();\n\t\t\tif (accepted_channel != null) {\n\t\t\t\taccepted_channel.configureBlocking(false);\n\t\t\t\t\n\t\t\t\t//Create an SSL engine for this connection\n\t\t\t\tssl_engine = ssl_context.createSSLEngine(\"localhost\", accepted_channel.socket().getPort());\n\t\t\t\tssl_engine.setUseClientMode(false);\n\t\t\t\t\n\t\t\t\t// Create a SSL Socket Channel for the channel & engine\n\t\t\t\tSSLSocketChannel ssl_socket_channel = new SSLSocketChannel(accepted_channel, ssl_engine);\n\t\t\t\t\n\t\t\t\t// Create a new session class for the user\n\t\t\t\tSSLClientSession session = new SSLClientSession(ssl_socket_channel);\n\t\t\t\t\n\t\t\t\t// Register for OP_READ with ssl_socket_channel as attachment\n\t\t\t\tSelectionKey key = accepted_channel.register(server_selector, SelectionKey.OP_READ, session);\n\t\t\t\t\n\t\t\t\tsession.setSelectionKey(key);\n\t\t\t\t\n\t\t\t\tnum_players_connected++;\n\n\t\t\t\t// Add client to open channels map\n\t\t\t\topen_client_channels.put(ssl_socket_channel, session);\n\t\t\t\t\n\t\t\t\tSystem.out.println(\"Thread with ID - \" + this.getName() + \" - accepted a connection.\");\n\t\t\t}\n\t\t}", "public void connect()\n {\n System.out.println(\"CLIENT partito in esecuzione\");\n try\n {\n //Initialize socket variables and json formatter\n socket = new Socket(serverIP, serverPort);\n outputStream = new DataOutputStream(socket.getOutputStream());\n inputStream = new BufferedReader(new InputStreamReader(socket.getInputStream()));\n gson = new Gson();\n \n receiverThread = new ClientReceiver(this);\n } \n catch (UnknownHostException e)\n {\n System.out.println(e.getMessage());\n System.out.println(\"Host sconosciuto\");\n System.exit(1);\n }\n catch (ConnectException e)\n {\n System.out.println(e.getMessage());\n System.out.println(\"Non c'è posto per te, mi spiace\");\n System.exit(1);\n }\n catch (Exception e)\n {\n System.out.println(e.getMessage());\n System.exit(1);\n }\n }" ]	[ "0.6370911", "0.6365466", "0.63155866", "0.6253805", "0.6156059", "0.61323047", "0.61296666", "0.60415393", "0.60215276", "0.601248", "0.58258903", "0.57991815", "0.57978547", "0.5771551", "0.57606316", "0.57427675", "0.5717714", "0.571762", "0.5678694", "0.5668346", "0.56632227", "0.5655248", "0.5625031", "0.5609561", "0.5604485", "0.5588018", "0.5583806", "0.557548", "0.5572198", "0.556844", "0.5562756", "0.5551384", "0.554508", "0.5541034", "0.5540257", "0.5540089", "0.5533191", "0.55308956", "0.55233735", "0.55182743", "0.5495369", "0.5491681", "0.5487071", "0.54819757", "0.5476565", "0.54702103", "0.5447982", "0.543929", "0.5438981", "0.54373103", "0.54371095", "0.54348695", "0.5431004", "0.54274887", "0.54262483", "0.5422886", "0.5422578", "0.54203683", "0.54166245", "0.5411086", "0.54107016", "0.5406496", "0.54032075", "0.5401241", "0.5389168", "0.5388732", "0.53852254", "0.53845984", "0.5383481", "0.53800195", "0.53783864", "0.5370329", "0.53674066", "0.53670496", "0.53646564", "0.53593343", "0.5343527", "0.5340744", "0.5334525", "0.5334084", "0.5328498", "0.5327474", "0.5326786", "0.53208846", "0.53174573", "0.53066355", "0.52984357", "0.52976805", "0.52912885", "0.52854097", "0.52854025", "0.52814794", "0.5280538", "0.527436", "0.52697897", "0.5267623", "0.5264466", "0.5262535", "0.5261781", "0.5256324" ]	0.6827651	0
This method is called from within the constructor to initialize the form. WARNING: Do NOT modify this code. The content of this method is always regenerated by the Form Editor.	@SuppressWarnings("unchecked") // <editor-fold defaultstate="collapsed" desc="Generated Code">//GEN-BEGIN:initComponents private void initComponents() { jButton_ = new javax.swing.JTabbedPane(); jPanel2 = new javax.swing.JPanel(); jPanel1 = new javax.swing.JPanel(); jLabel1 = new javax.swing.JLabel(); jTextField_nombre_encuesta1 = new javax.swing.JTextField(); jLabel2 = new javax.swing.JLabel(); jTextField_descripcion_encuesta1 = new javax.swing.JTextField(); jLabel3 = new javax.swing.JLabel(); jTextField_cod_emcuesta1 = new javax.swing.JTextField(); jLabel4 = new javax.swing.JLabel(); jTextField_cod_tipoEncuesta1 = new javax.swing.JTextField(); jButton_guardarRegistro = new javax.swing.JButton(); jButton_cancelar = new javax.swing.JButton(); jPanel3 = new javax.swing.JPanel(); jPanel7 = new javax.swing.JPanel(); jTextField_cod_encuesta2 = new javax.swing.JTextField(); jButton_buscarModificar = new javax.swing.JButton(); jTextField_cod_tipoEncuesta2 = new javax.swing.JTextField(); jTextField_descripcion_encuesta2 = new javax.swing.JTextField(); jTextField_nombre_encuesta2 = new javax.swing.JTextField(); jLabel10 = new javax.swing.JLabel(); jLabel11 = new javax.swing.JLabel(); jLabel12 = new javax.swing.JLabel(); jLabel13 = new javax.swing.JLabel(); jButton_actualizarRegistro = new javax.swing.JButton(); jButton_cancelar5 = new javax.swing.JButton(); jPanel4 = new javax.swing.JPanel(); jPanel6 = new javax.swing.JPanel(); jTextField_cod_encuesta3 = new javax.swing.JTextField(); jButton_buscarEliminar = new javax.swing.JButton(); jTextField_nombre_encuesta3 = new javax.swing.JTextField(); jTextField_descripcion_encuesta3 = new javax.swing.JTextField(); jTextField_cod_tipoEncuesta3 = new javax.swing.JTextField(); jLabel18 = new javax.swing.JLabel(); jLabel19 = new javax.swing.JLabel(); jLabel20 = new javax.swing.JLabel(); jLabel21 = new javax.swing.JLabel(); jButton_eliminarRegistro = new javax.swing.JButton(); jButton_cancelar2 = new javax.swing.JButton(); jLabel5 = new javax.swing.JLabel(); setDefaultCloseOperation(javax.swing.WindowConstants.DISPOSE_ON_CLOSE); jPanel1.setBorder(javax.swing.BorderFactory.createTitledBorder("Datos de Encuesta")); jLabel1.setText("Nombre:"); jLabel2.setText("Descripcion:"); jLabel3.setText("Codigo:"); jLabel4.setText("Cod. Tipo En:"); javax.swing.GroupLayout jPanel1Layout = new javax.swing.GroupLayout(jPanel1); jPanel1.setLayout(jPanel1Layout); jPanel1Layout.setHorizontalGroup( jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(javax.swing.GroupLayout.Alignment.TRAILING, jPanel1Layout.createSequentialGroup() .addContainerGap(javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE) .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(javax.swing.GroupLayout.Alignment.TRAILING, jPanel1Layout.createSequentialGroup() .addComponent(jLabel3) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED) .addComponent(jTextField_cod_emcuesta1, javax.swing.GroupLayout.PREFERRED_SIZE, 178, javax.swing.GroupLayout.PREFERRED_SIZE)) .addGroup(javax.swing.GroupLayout.Alignment.TRAILING, jPanel1Layout.createSequentialGroup() .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addComponent(jLabel4, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jLabel1, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jLabel2, javax.swing.GroupLayout.Alignment.TRAILING)) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED) .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING, false) .addComponent(jTextField_nombre_encuesta1, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jTextField_descripcion_encuesta1, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jTextField_cod_tipoEncuesta1, javax.swing.GroupLayout.PREFERRED_SIZE, 178, javax.swing.GroupLayout.PREFERRED_SIZE)))) .addGap(33, 33, 33)) ); jPanel1Layout.setVerticalGroup( jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel1Layout.createSequentialGroup() .addGap(15, 15, 15) .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE) .addComponent(jLabel3, javax.swing.GroupLayout.PREFERRED_SIZE, 19, javax.swing.GroupLayout.PREFERRED_SIZE) .addComponent(jTextField_cod_emcuesta1, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE)) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE) .addComponent(jTextField_nombre_encuesta1, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE) .addComponent(jLabel1, javax.swing.GroupLayout.PREFERRED_SIZE, 22, javax.swing.GroupLayout.PREFERRED_SIZE)) .addGap(7, 7, 7) .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE) .addComponent(jTextField_descripcion_encuesta1, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE) .addComponent(jLabel2, javax.swing.GroupLayout.PREFERRED_SIZE, 24, javax.swing.GroupLayout.PREFERRED_SIZE)) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addGroup(jPanel1Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE) .addComponent(jLabel4, javax.swing.GroupLayout.PREFERRED_SIZE, 23, javax.swing.GroupLayout.PREFERRED_SIZE) .addComponent(jTextField_cod_tipoEncuesta1, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE)) .addContainerGap(16, Short.MAX_VALUE)) ); jButton_guardarRegistro.setText("Guardar"); jButton_guardarRegistro.addActionListener(new java.awt.event.ActionListener() { public void actionPerformed(java.awt.event.ActionEvent evt) { jButton_guardarRegistroActionPerformed(evt); } }); jButton_cancelar.setText("Cancelar"); jButton_cancelar.addActionListener(new java.awt.event.ActionListener() { public void actionPerformed(java.awt.event.ActionEvent evt) { jButton_cancelarActionPerformed(evt); } }); javax.swing.GroupLayout jPanel2Layout = new javax.swing.GroupLayout(jPanel2); jPanel2.setLayout(jPanel2Layout); jPanel2Layout.setHorizontalGroup( jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel2Layout.createSequentialGroup() .addGap(136, 136, 136) .addComponent(jButton_guardarRegistro) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jButton_cancelar) .addContainerGap(42, Short.MAX_VALUE)) .addGroup(jPanel2Layout.createSequentialGroup() .addComponent(jPanel1, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE) .addContainerGap()) ); jPanel2Layout.setVerticalGroup( jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel2Layout.createSequentialGroup() .addContainerGap() .addComponent(jPanel1, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED) .addGroup(jPanel2Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE) .addComponent(jButton_guardarRegistro) .addComponent(jButton_cancelar))) ); jButton_.addTab("Ingreso Encuesta", jPanel2); jPanel7.setBorder(javax.swing.BorderFactory.createTitledBorder("Datos de Encuesta")); jButton_buscarModificar.setText("Buscar"); jButton_buscarModificar.addActionListener(new java.awt.event.ActionListener() { public void actionPerformed(java.awt.event.ActionEvent evt) { jButton_buscarModificarActionPerformed(evt); } }); jLabel10.setText("Codigo:"); jLabel11.setText("Nombre:"); jLabel12.setText("Descripcion:"); jLabel13.setText("Cod. Tipo En:"); javax.swing.GroupLayout jPanel7Layout = new javax.swing.GroupLayout(jPanel7); jPanel7.setLayout(jPanel7Layout); jPanel7Layout.setHorizontalGroup( jPanel7Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(javax.swing.GroupLayout.Alignment.TRAILING, jPanel7Layout.createSequentialGroup() .addContainerGap(javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE) .addGroup(jPanel7Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addComponent(jLabel10, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jLabel13, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jLabel11, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jLabel12, javax.swing.GroupLayout.Alignment.TRAILING)) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED) .addGroup(jPanel7Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.TRAILING) .addGroup(jPanel7Layout.createSequentialGroup() .addComponent(jTextField_cod_encuesta2, javax.swing.GroupLayout.PREFERRED_SIZE, 90, javax.swing.GroupLayout.PREFERRED_SIZE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED) .addComponent(jButton_buscarModificar, javax.swing.GroupLayout.PREFERRED_SIZE, 78, javax.swing.GroupLayout.PREFERRED_SIZE)) .addGroup(jPanel7Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING, false) .addComponent(jTextField_nombre_encuesta2, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jTextField_descripcion_encuesta2, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jTextField_cod_tipoEncuesta2, javax.swing.GroupLayout.PREFERRED_SIZE, 178, javax.swing.GroupLayout.PREFERRED_SIZE))) .addGap(32, 32, 32)) ); jPanel7Layout.setVerticalGroup( jPanel7Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel7Layout.createSequentialGroup() .addGap(14, 14, 14) .addGroup(jPanel7Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel7Layout.createSequentialGroup() .addComponent(jLabel10, javax.swing.GroupLayout.PREFERRED_SIZE, 19, javax.swing.GroupLayout.PREFERRED_SIZE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jLabel11, javax.swing.GroupLayout.PREFERRED_SIZE, 22, javax.swing.GroupLayout.PREFERRED_SIZE) .addGap(7, 7, 7) .addComponent(jLabel12, javax.swing.GroupLayout.PREFERRED_SIZE, 24, javax.swing.GroupLayout.PREFERRED_SIZE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jLabel13, javax.swing.GroupLayout.PREFERRED_SIZE, 23, javax.swing.GroupLayout.PREFERRED_SIZE)) .addGroup(jPanel7Layout.createSequentialGroup() .addGroup(jPanel7Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE) .addComponent(jTextField_cod_encuesta2, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE) .addComponent(jButton_buscarModificar)) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jTextField_nombre_encuesta2, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE) .addGap(10, 10, 10) .addComponent(jTextField_descripcion_encuesta2, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jTextField_cod_tipoEncuesta2, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE))) .addContainerGap(javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE)) ); jButton_actualizarRegistro.setText("Actualizar"); jButton_actualizarRegistro.addActionListener(new java.awt.event.ActionListener() { public void actionPerformed(java.awt.event.ActionEvent evt) { jButton_actualizarRegistroActionPerformed(evt); } }); jButton_cancelar5.setText("Cancelar"); jButton_cancelar5.addActionListener(new java.awt.event.ActionListener() { public void actionPerformed(java.awt.event.ActionEvent evt) { jButton_cancelar5ActionPerformed(evt); } }); javax.swing.GroupLayout jPanel3Layout = new javax.swing.GroupLayout(jPanel3); jPanel3.setLayout(jPanel3Layout); jPanel3Layout.setHorizontalGroup( jPanel3Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel3Layout.createSequentialGroup() .addGap(128, 128, 128) .addComponent(jButton_actualizarRegistro) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jButton_cancelar5) .addContainerGap(42, Short.MAX_VALUE)) .addGroup(jPanel3Layout.createSequentialGroup() .addComponent(jPanel7, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE) .addContainerGap()) ); jPanel3Layout.setVerticalGroup( jPanel3Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel3Layout.createSequentialGroup() .addContainerGap() .addComponent(jPanel7, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addGroup(jPanel3Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE) .addComponent(jButton_actualizarRegistro) .addComponent(jButton_cancelar5)) .addContainerGap(javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE)) ); jButton_.addTab("Modificacion Encuesta", jPanel3); jPanel6.setBorder(javax.swing.BorderFactory.createTitledBorder("Datos de Encuesta")); jButton_buscarEliminar.setText("Buscar"); jButton_buscarEliminar.addActionListener(new java.awt.event.ActionListener() { public void actionPerformed(java.awt.event.ActionEvent evt) { jButton_buscarEliminarActionPerformed(evt); } }); jLabel18.setText("Codigo:"); jLabel19.setText("Nombre:"); jLabel20.setText("Descripcion:"); jLabel21.setText("Cod. Tipo En:"); javax.swing.GroupLayout jPanel6Layout = new javax.swing.GroupLayout(jPanel6); jPanel6.setLayout(jPanel6Layout); jPanel6Layout.setHorizontalGroup( jPanel6Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(javax.swing.GroupLayout.Alignment.TRAILING, jPanel6Layout.createSequentialGroup() .addContainerGap(javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE) .addGroup(jPanel6Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addComponent(jLabel18, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jLabel21, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jLabel19, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jLabel20, javax.swing.GroupLayout.Alignment.TRAILING)) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED) .addGroup(jPanel6Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.TRAILING) .addGroup(jPanel6Layout.createSequentialGroup() .addComponent(jTextField_cod_encuesta3, javax.swing.GroupLayout.PREFERRED_SIZE, 90, javax.swing.GroupLayout.PREFERRED_SIZE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.UNRELATED) .addComponent(jButton_buscarEliminar, javax.swing.GroupLayout.PREFERRED_SIZE, 78, javax.swing.GroupLayout.PREFERRED_SIZE)) .addGroup(jPanel6Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING, false) .addComponent(jTextField_nombre_encuesta3, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jTextField_descripcion_encuesta3, javax.swing.GroupLayout.Alignment.TRAILING) .addComponent(jTextField_cod_tipoEncuesta3, javax.swing.GroupLayout.PREFERRED_SIZE, 178, javax.swing.GroupLayout.PREFERRED_SIZE))) .addGap(33, 33, 33)) ); jPanel6Layout.setVerticalGroup( jPanel6Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel6Layout.createSequentialGroup() .addGap(14, 14, 14) .addGroup(jPanel6Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel6Layout.createSequentialGroup() .addComponent(jLabel18, javax.swing.GroupLayout.PREFERRED_SIZE, 19, javax.swing.GroupLayout.PREFERRED_SIZE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jLabel19, javax.swing.GroupLayout.PREFERRED_SIZE, 22, javax.swing.GroupLayout.PREFERRED_SIZE) .addGap(7, 7, 7) .addComponent(jLabel20, javax.swing.GroupLayout.PREFERRED_SIZE, 24, javax.swing.GroupLayout.PREFERRED_SIZE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jLabel21, javax.swing.GroupLayout.PREFERRED_SIZE, 23, javax.swing.GroupLayout.PREFERRED_SIZE)) .addGroup(jPanel6Layout.createSequentialGroup() .addGroup(jPanel6Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE) .addComponent(jTextField_cod_encuesta3, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE) .addComponent(jButton_buscarEliminar)) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jTextField_nombre_encuesta3, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE) .addGap(10, 10, 10) .addComponent(jTextField_descripcion_encuesta3, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jTextField_cod_tipoEncuesta3, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE))) .addContainerGap(javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE)) ); jButton_eliminarRegistro.setText("Eliminar"); jButton_eliminarRegistro.addActionListener(new java.awt.event.ActionListener() { public void actionPerformed(java.awt.event.ActionEvent evt) { jButton_eliminarRegistroActionPerformed(evt); } }); jButton_cancelar2.setText("Cancelar"); jButton_cancelar2.addActionListener(new java.awt.event.ActionListener() { public void actionPerformed(java.awt.event.ActionEvent evt) { jButton_cancelar2ActionPerformed(evt); } }); javax.swing.GroupLayout jPanel4Layout = new javax.swing.GroupLayout(jPanel4); jPanel4.setLayout(jPanel4Layout); jPanel4Layout.setHorizontalGroup( jPanel4Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel4Layout.createSequentialGroup() .addGap(138, 138, 138) .addComponent(jButton_eliminarRegistro) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addComponent(jButton_cancelar2) .addContainerGap(42, Short.MAX_VALUE)) .addGroup(jPanel4Layout.createSequentialGroup() .addComponent(jPanel6, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE) .addContainerGap()) ); jPanel4Layout.setVerticalGroup( jPanel4Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(jPanel4Layout.createSequentialGroup() .addContainerGap() .addComponent(jPanel6, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE) .addPreferredGap(javax.swing.LayoutStyle.ComponentPlacement.RELATED) .addGroup(jPanel4Layout.createParallelGroup(javax.swing.GroupLayout.Alignment.BASELINE) .addComponent(jButton_eliminarRegistro) .addComponent(jButton_cancelar2)) .addContainerGap(javax.swing.GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE)) ); jButton_.addTab("Eliminar Encuesta", jPanel4); jLabel5.setFont(new java.awt.Font("Tahoma", 3, 11)); // NOI18N jLabel5.setText("ENCUESTAS:"); javax.swing.GroupLayout layout = new javax.swing.GroupLayout(getContentPane()); getContentPane().setLayout(layout); layout.setHorizontalGroup( layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(layout.createSequentialGroup() .addGap(10, 10, 10) .addGroup(layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addComponent(jLabel5, javax.swing.GroupLayout.PREFERRED_SIZE, 75, javax.swing.GroupLayout.PREFERRED_SIZE) .addComponent(jButton_, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE))) ); layout.setVerticalGroup( layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING) .addGroup(layout.createSequentialGroup() .addGap(11, 11, 11) .addComponent(jLabel5, javax.swing.GroupLayout.PREFERRED_SIZE, 20, javax.swing.GroupLayout.PREFERRED_SIZE) .addGap(6, 6, 6) .addComponent(jButton_, javax.swing.GroupLayout.PREFERRED_SIZE, javax.swing.GroupLayout.DEFAULT_SIZE, javax.swing.GroupLayout.PREFERRED_SIZE)) ); pack(); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public Form() {\n initComponents();\n }", "public MainForm() {\n initComponents();\n }", "public MainForm() {\n initComponents();\n }", "public MainForm() {\n initComponents();\n }", "public frmRectangulo() {\n initComponents();\n }", "public form() {\n initComponents();\n }", "public AdjointForm() {\n initComponents();\n setDefaultCloseOperation(HIDE_ON_CLOSE);\n }", "public FormListRemarking() {\n initComponents();\n }", "public MainForm() {\n initComponents();\n \n }", "public FormPemilihan() {\n initComponents();\n }", "public GUIForm() { \n initComponents();\n }", "public FrameForm() {\n initComponents();\n }", "public TorneoForm() {\n initComponents();\n }", "public FormCompra() {\n initComponents();\n }", "public muveletek() {\n initComponents();\n }", "public Interfax_D() {\n initComponents();\n }", "public quanlixe_form() {\n initComponents();\n }", "public SettingsForm() {\n initComponents();\n }", "public RegistrationForm() {\n initComponents();\n this.setLocationRelativeTo(null);\n }", "public Soru1() {\n initComponents();\n }", "public FMainForm() {\n initComponents();\n this.setResizable(false);\n setLocationRelativeTo(null);\n }", "public soal2GUI() {\n initComponents();\n }", "public EindopdrachtGUI() {\n initComponents();\n }", "public MechanicForm() {\n initComponents();\n }", "public AddDocumentLineForm(java.awt.Frame parent) {\n super(parent);\n initComponents();\n myInit();\n }", "public BloodDonationGUI() {\n initComponents();\n }", "public quotaGUI() {\n initComponents();\n }", "public Customer_Form() {\n initComponents();\n setSize(890,740);\n \n \n }", "public PatientUI() {\n initComponents();\n }", "public myForm() {\n\t\t\tinitComponents();\n\t\t}", "public Oddeven() {\n initComponents();\n }", "public intrebarea() {\n initComponents();\n }", "public Magasin() {\n initComponents();\n }", "public RadioUI()\n {\n initComponents();\n }", "public NewCustomerGUI() {\n initComponents();\n }", "public ZobrazUdalost() {\n initComponents();\n }", "public FormUtama() {\n initComponents();\n }", "public p0() {\n initComponents();\n }", "public INFORMACION() {\n initComponents();\n this.setLocationRelativeTo(null); \n }", "public ProgramForm() {\n setLookAndFeel();\n initComponents();\n }", "public AmountReleasedCommentsForm() {\r\n initComponents();\r\n }", "public form2() {\n initComponents();\n }", "public MainForm() {\n\t\tsuper(\"Hospital\", List.IMPLICIT);\n\n\t\tstartComponents();\n\t}", "public LixeiraForm() {\n initComponents();\n setLocationRelativeTo(null);\n }", "public kunde() {\n initComponents();\n }", "@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents() {\n\n setName(\"Form\"); // NOI18N\n setRequestFocusEnabled(false);\n setVerifyInputWhenFocusTarget(false);\n\n javax.swing.GroupLayout layout = new javax.swing.GroupLayout(this);\n this.setLayout(layout);\n layout.setHorizontalGroup(\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGap(0, 465, Short.MAX_VALUE)\n );\n layout.setVerticalGroup(\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGap(0, 357, Short.MAX_VALUE)\n );\n }", "public MusteriEkle() {\n initComponents();\n }", "public frmMain() {\n initComponents();\n }", "public frmMain() {\n initComponents();\n }", "public DESHBORDPANAL() {\n initComponents();\n }", "public GUIForm() {\n initComponents();\n inputField.setText(NO_FILE_SELECTED);\n outputField.setText(NO_FILE_SELECTED);\n progressLabel.setBackground(INFO);\n progressLabel.setText(SELECT_FILE);\n }", "public frmVenda() {\n initComponents();\n }", "public Botonera() {\n initComponents();\n }", "public FrmMenu() {\n initComponents();\n }", "public OffertoryGUI() {\n initComponents();\n setTypes();\n }", "public JFFornecedores() {\n initComponents();\n }", "@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents()\n {\n\n setDefaultCloseOperation(javax.swing.WindowConstants.EXIT_ON_CLOSE);\n setBackground(new java.awt.Color(255, 255, 255));\n\n javax.swing.GroupLayout layout = new javax.swing.GroupLayout(getContentPane());\n getContentPane().setLayout(layout);\n layout.setHorizontalGroup(\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGap(0, 983, Short.MAX_VALUE)\n );\n layout.setVerticalGroup(\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGap(0, 769, Short.MAX_VALUE)\n );\n\n pack();\n }", "public EnterDetailsGUI() {\n initComponents();\n }", "public vpemesanan1() {\n initComponents();\n }", "public Kost() {\n initComponents();\n }", "public FormHorarioSSE() {\n initComponents();\n }", "public UploadForm() {\n initComponents();\n }", "public frmacceso() {\n initComponents();\n }", "public HW3() {\n initComponents();\n }", "public Managing_Staff_Main_Form() {\n initComponents();\n }", "@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents()\n {\n\n setDefaultCloseOperation(javax.swing.WindowConstants.EXIT_ON_CLOSE);\n getContentPane().setLayout(null);\n\n pack();\n }", "@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents() {\n\n setName(\"Form\"); // NOI18N\n\n javax.swing.GroupLayout layout = new javax.swing.GroupLayout(this);\n this.setLayout(layout);\n layout.setHorizontalGroup(\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGap(0, 400, Short.MAX_VALUE)\n );\n layout.setVerticalGroup(\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGap(0, 300, Short.MAX_VALUE)\n );\n }", "public sinavlar2() {\n initComponents();\n }", "public P0405() {\n initComponents();\n }", "public IssueBookForm() {\n initComponents();\n }", "public MiFrame2() {\n initComponents();\n }", "public Choose1() {\n initComponents();\n }", "public MainForm() {\n initComponents();\n\n String oldAuthor = prefs.get(\"AUTHOR\", \"\");\n if(oldAuthor != null) {\n this.authorTextField.setText(oldAuthor);\n }\n String oldBook = prefs.get(\"BOOK\", \"\");\n if(oldBook != null) {\n this.bookTextField.setText(oldBook);\n }\n String oldDisc = prefs.get(\"DISC\", \"\");\n if(oldDisc != null) {\n try {\n int oldDiscNum = Integer.parseInt(oldDisc);\n oldDiscNum++;\n this.discNumberTextField.setText(Integer.toString(oldDiscNum));\n } catch (Exception ex) {\n this.discNumberTextField.setText(oldDisc);\n }\n this.bookTextField.setText(oldBook);\n }\n\n\n }", "public GUI_StudentInfo() {\n initComponents();\n }", "public Lihat_Dokter_Keseluruhan() {\n initComponents();\n }", "public JFrmPrincipal() {\n initComponents();\n }", "public bt526() {\n initComponents();\n }", "public Pemilihan_Dokter() {\n initComponents();\n }", "public Ablak() {\n initComponents();\n }", "@Override\n\tprotected void initUi() {\n\t\t\n\t}", "@SuppressWarnings(\"unchecked\")\n\t// <editor-fold defaultstate=\"collapsed\" desc=\"Generated\n\t// Code\">//GEN-BEGIN:initComponents\n\tprivate void initComponents() {\n\n\t\tlabel1 = new java.awt.Label();\n\t\tlabel2 = new java.awt.Label();\n\t\tlabel3 = new java.awt.Label();\n\t\tlabel4 = new java.awt.Label();\n\t\tlabel5 = new java.awt.Label();\n\t\tlabel6 = new java.awt.Label();\n\t\tlabel7 = new java.awt.Label();\n\t\tlabel8 = new java.awt.Label();\n\t\tlabel9 = new java.awt.Label();\n\t\tlabel10 = new java.awt.Label();\n\t\ttextField1 = new java.awt.TextField();\n\t\ttextField2 = new java.awt.TextField();\n\t\tlabel14 = new java.awt.Label();\n\t\tlabel15 = new java.awt.Label();\n\t\tlabel16 = new java.awt.Label();\n\t\ttextField3 = new java.awt.TextField();\n\t\ttextField4 = new java.awt.TextField();\n\t\ttextField5 = new java.awt.TextField();\n\t\tlabel17 = new java.awt.Label();\n\t\tlabel18 = new java.awt.Label();\n\t\tlabel19 = new java.awt.Label();\n\t\tlabel20 = new java.awt.Label();\n\t\tlabel21 = new java.awt.Label();\n\t\tlabel22 = new java.awt.Label();\n\t\ttextField6 = new java.awt.TextField();\n\t\ttextField7 = new java.awt.TextField();\n\t\ttextField8 = new java.awt.TextField();\n\t\tlabel23 = new java.awt.Label();\n\t\ttextField9 = new java.awt.TextField();\n\t\ttextField10 = new java.awt.TextField();\n\t\ttextField11 = new java.awt.TextField();\n\t\ttextField12 = new java.awt.TextField();\n\t\tlabel24 = new java.awt.Label();\n\t\tlabel25 = new java.awt.Label();\n\t\tlabel26 = new java.awt.Label();\n\t\tlabel27 = new java.awt.Label();\n\t\tlabel28 = new java.awt.Label();\n\t\tlabel30 = new java.awt.Label();\n\t\tlabel31 = new java.awt.Label();\n\t\tlabel32 = new java.awt.Label();\n\t\tjButton1 = new javax.swing.JButton();\n\n\t\tlabel1.setFont(new java.awt.Font(\"Segoe UI Semibold\", 0, 18)); // NOI18N\n\t\tlabel1.setText(\"It seems that some of the buttons on the ATM machine are not working!\");\n\n\t\tlabel2.setFont(new java.awt.Font(\"Segoe UI Semibold\", 0, 18)); // NOI18N\n\t\tlabel2.setText(\"Unfortunately these numbers are exactly what Professor has to use to type in his password.\");\n\n\t\tlabel3.setFont(new java.awt.Font(\"Segoe UI Semibold\", 0, 18)); // NOI18N\n\t\tlabel3.setText(\n\t\t\t\t\"If you want to eat tonight, you have to help him out and construct the numbers of the password with the working buttons and math operators.\");\n\n\t\tlabel4.setFont(new java.awt.Font(\"Segoe UI Semibold\", 0, 14)); // NOI18N\n\t\tlabel4.setText(\"Denver's Password: 2792\");\n\n\t\tlabel5.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel5.setText(\"import java.util.Scanner;\\n\");\n\n\t\tlabel6.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel6.setText(\"public class ATM{\");\n\n\t\tlabel7.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel7.setText(\"public static void main(String[] args){\");\n\n\t\tlabel8.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel8.setText(\"System.out.print(\");\n\n\t\tlabel9.setFont(new java.awt.Font(\"Dialog\", 0, 14)); // NOI18N\n\t\tlabel9.setText(\" -\");\n\n\t\tlabel10.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel10.setText(\");\");\n\n\t\ttextField1.addActionListener(new java.awt.event.ActionListener() {\n\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent evt) {\n\t\t\t\ttextField1ActionPerformed(evt);\n\t\t\t}\n\t\t});\n\n\t\tlabel14.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel14.setText(\"System.out.print( (\");\n\n\t\tlabel15.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel15.setText(\"System.out.print(\");\n\n\t\tlabel16.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel16.setText(\"System.out.print( ( (\");\n\n\t\tlabel17.setFont(new java.awt.Font(\"Dialog\", 0, 14)); // NOI18N\n\t\tlabel17.setText(\")\");\n\n\t\tlabel18.setFont(new java.awt.Font(\"Dialog\", 0, 14)); // NOI18N\n\t\tlabel18.setText(\" +\");\n\n\t\tlabel19.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel19.setText(\");\");\n\n\t\tlabel20.setFont(new java.awt.Font(\"Dialog\", 0, 14)); // NOI18N\n\t\tlabel20.setText(\" /\");\n\n\t\tlabel21.setFont(new java.awt.Font(\"Dialog\", 0, 14)); // NOI18N\n\t\tlabel21.setText(\" %\");\n\n\t\tlabel22.setFont(new java.awt.Font(\"Dialog\", 0, 14)); // NOI18N\n\t\tlabel22.setText(\" +\");\n\n\t\tlabel23.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel23.setText(\");\");\n\n\t\tlabel24.setFont(new java.awt.Font(\"Dialog\", 0, 14)); // NOI18N\n\t\tlabel24.setText(\" +\");\n\n\t\tlabel25.setFont(new java.awt.Font(\"Dialog\", 0, 14)); // NOI18N\n\t\tlabel25.setText(\" /\");\n\n\t\tlabel26.setFont(new java.awt.Font(\"Dialog\", 0, 14)); // NOI18N\n\t\tlabel26.setText(\" *\");\n\n\t\tlabel27.setCursor(new java.awt.Cursor(java.awt.Cursor.DEFAULT_CURSOR));\n\t\tlabel27.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel27.setText(\")\");\n\n\t\tlabel28.setFont(new java.awt.Font(\"Dialog\", 0, 14)); // NOI18N\n\t\tlabel28.setText(\")\");\n\n\t\tlabel30.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel30.setText(\"}\");\n\n\t\tlabel31.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel31.setText(\"}\");\n\n\t\tlabel32.setFont(new java.awt.Font(\"Consolas\", 0, 14)); // NOI18N\n\t\tlabel32.setText(\");\");\n\n\t\tjButton1.setFont(new java.awt.Font(\"Segoe UI Semibold\", 0, 14)); // NOI18N\n\t\tjButton1.setText(\"Check\");\n\t\tjButton1.addActionListener(new java.awt.event.ActionListener() {\n\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent evt) {\n\t\t\t\tjButton1ActionPerformed(evt);\n\t\t\t}\n\t\t});\n\n\t\tjavax.swing.GroupLayout layout = new javax.swing.GroupLayout(this);\n\t\tlayout.setHorizontalGroup(layout.createParallelGroup(Alignment.LEADING)\n\t\t\t\t.addGroup(layout.createSequentialGroup().addGap(28).addGroup(layout\n\t\t\t\t\t\t.createParallelGroup(Alignment.LEADING).addComponent(getDoneButton()).addComponent(jButton1)\n\t\t\t\t\t\t.addComponent(label7, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addComponent(label6, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addComponent(label5, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addComponent(label4, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addComponent(label3, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t.addComponent(label1, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t.addGap(1)\n\t\t\t\t\t\t\t\t.addComponent(label2, GroupLayout.PREFERRED_SIZE, 774, GroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t.addGap(92).addGroup(layout.createParallelGroup(Alignment.LEADING).addGroup(layout\n\t\t\t\t\t\t\t\t\t\t.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.LEADING, false)\n\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label15, GroupLayout.PREFERRED_SIZE, 145,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField8, GroupLayout.PREFERRED_SIZE, 20,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGap(2)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label21, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, Short.MAX_VALUE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField7, GroupLayout.PREFERRED_SIZE, 20,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label8, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField1, GroupLayout.PREFERRED_SIZE, 20,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label9, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED).addComponent(\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttextField2, GroupLayout.PREFERRED_SIZE, 20,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label31, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup().addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(Alignment.LEADING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label14, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, Short.MAX_VALUE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGap(37))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup().addGap(174)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField5, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t20, GroupLayout.PREFERRED_SIZE)))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label18, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGap(7)))\n\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.LEADING).addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(Alignment.TRAILING, false).addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField4, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t20, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, Short.MAX_VALUE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label17, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label22, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField9, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t20, GroupLayout.PREFERRED_SIZE)))\n\t\t\t\t\t\t\t\t\t\t\t\t.addGap(20)\n\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.TRAILING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label23, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label20, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField3, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t20, GroupLayout.PREFERRED_SIZE)))\n\t\t\t\t\t\t\t\t\t\t\t\t.addGap(20).addComponent(label19, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup().addGap(23).addComponent(\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tlabel10, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))))\n\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label16, GroupLayout.PREFERRED_SIZE, 177,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField12, GroupLayout.PREFERRED_SIZE, 20,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label24, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField6, GroupLayout.PREFERRED_SIZE, 20,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label27, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label25, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField11, GroupLayout.PREFERRED_SIZE, 20,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label28, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addGap(1)\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label26, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField10, GroupLayout.PREFERRED_SIZE, 20,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED).addComponent(label32,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))))\n\t\t\t\t\t\t.addComponent(label30, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t.addContainerGap(GroupLayout.DEFAULT_SIZE, Short.MAX_VALUE)));\n\t\tlayout.setVerticalGroup(\n\t\t\t\tlayout.createParallelGroup(Alignment.LEADING).addGroup(layout.createSequentialGroup().addContainerGap()\n\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.TRAILING)\n\t\t\t\t\t\t\t\t.addComponent(label1, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t.addComponent(label2, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t.addGap(1)\n\t\t\t\t\t\t.addComponent(label3, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t.addComponent(label4, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t.addComponent(label5, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t.addComponent(label6, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t.addComponent(label7, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t.createParallelGroup(\n\t\t\t\t\t\t\t\t\t\tAlignment.TRAILING)\n\t\t\t\t\t\t\t\t.addGroup(\n\t\t\t\t\t\t\t\t\t\tlayout.createSequentialGroup().addGroup(layout.createParallelGroup(\n\t\t\t\t\t\t\t\t\t\t\t\tAlignment.TRAILING)\n\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createSequentialGroup().addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(Alignment.TRAILING).addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(Alignment.LEADING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label9,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(Alignment.TRAILING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label8,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField1,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\ttextField2, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label10,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGap(3)))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGap(19)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.TRAILING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.LEADING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField5,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label14,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup().addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(Alignment.LEADING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label18,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(Alignment.TRAILING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label17,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField4,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGap(1))))\n\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label20, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.LEADING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label19, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField3, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE, GroupLayout.PREFERRED_SIZE)))\n\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.LEADING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup().addGap(78)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label27, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup().addGap(76)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField11, GroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup().addGap(75)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.TRAILING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label32,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField10,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addPreferredGap(ComponentPlacement.RELATED, 20,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tShort.MAX_VALUE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(Alignment.TRAILING, false)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tAlignment.TRAILING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label15,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField8,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label21,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField7,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGap(27))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tAlignment.TRAILING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField9,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tAlignment.LEADING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label22,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tlayout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGap(3)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tlabel23,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGap(29)))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.TRAILING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(Alignment.LEADING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label16,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField12,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.createParallelGroup(\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tAlignment.TRAILING)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(label24,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addComponent(textField6,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE))\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.addGap(1))))))\n\t\t\t\t\t\t\t\t.addGroup(layout.createParallelGroup(Alignment.LEADING)\n\t\t\t\t\t\t\t\t\t\t.addComponent(label25, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t.addComponent(label28, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t\t\t\t\t.addComponent(label26, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)))\n\t\t\t\t\t\t.addGap(30)\n\t\t\t\t\t\t.addComponent(label31, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addGap(25)\n\t\t\t\t\t\t.addComponent(label30, GroupLayout.PREFERRED_SIZE, GroupLayout.DEFAULT_SIZE,\n\t\t\t\t\t\t\t\tGroupLayout.PREFERRED_SIZE)\n\t\t\t\t\t\t.addGap(26).addComponent(jButton1).addPreferredGap(ComponentPlacement.RELATED)\n\t\t\t\t\t\t.addComponent(getDoneButton()).addContainerGap(23, Short.MAX_VALUE)));\n\t\tthis.setLayout(layout);\n\n\t\tlabel16.getAccessibleContext().setAccessibleName(\"System.out.print( ( (\");\n\t\tlabel17.getAccessibleContext().setAccessibleName(\"\");\n\t\tlabel18.getAccessibleContext().setAccessibleName(\" +\");\n\t}", "public Pregunta23() {\n initComponents();\n }", "public FormMenuUser() {\n super(\"Form Menu User\");\n initComponents();\n }", "public AvtekOkno() {\n initComponents();\n }", "public busdet() {\n initComponents();\n }", "public ViewPrescriptionForm() {\n initComponents();\n }", "public Ventaform() {\n initComponents();\n }", "public Kuis2() {\n initComponents();\n }", "public CreateAccount_GUI() {\n initComponents();\n }", "public POS1() {\n initComponents();\n }", "public Carrera() {\n initComponents();\n }", "public EqGUI() {\n initComponents();\n }", "public JFriau() {\n initComponents();\n this.setLocationRelativeTo(null);\n this.setTitle(\"BuNus - Budaya Nusantara\");\n }", "@SuppressWarnings(\"unchecked\")\n // <editor-fold defaultstate=\"collapsed\" desc=\"Generated Code\">//GEN-BEGIN:initComponents\n private void initComponents() {\n\n setBackground(new java.awt.Color(204, 204, 204));\n setMinimumSize(new java.awt.Dimension(1, 1));\n setPreferredSize(new java.awt.Dimension(760, 402));\n\n javax.swing.GroupLayout layout = new javax.swing.GroupLayout(this);\n this.setLayout(layout);\n layout.setHorizontalGroup(\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGap(0, 750, Short.MAX_VALUE)\n );\n layout.setVerticalGroup(\n layout.createParallelGroup(javax.swing.GroupLayout.Alignment.LEADING)\n .addGap(0, 400, Short.MAX_VALUE)\n );\n }", "public nokno() {\n initComponents();\n }", "public dokter() {\n initComponents();\n }", "public ConverterGUI() {\n initComponents();\n }", "public hitungan() {\n initComponents();\n }", "public Modify() {\n initComponents();\n }", "public frmAddIncidencias() {\n initComponents();\n }", "public FP_Calculator_GUI() {\n initComponents();\n \n setVisible(true);\n }" ]	[ "0.73191476", "0.72906625", "0.72906625", "0.72906625", "0.72860986", "0.7248112", "0.7213479", "0.72078276", "0.7195841", "0.71899796", "0.71840525", "0.7158498", "0.71477973", "0.7092748", "0.70800966", "0.70558053", "0.69871384", "0.69773406", "0.69548076", "0.69533914", "0.6944929", "0.6942576", "0.69355655", "0.6931378", "0.6927896", "0.69248974", "0.6924723", "0.69116884", "0.6910487", "0.6892381", "0.68921053", "0.6890637", "0.68896896", "0.68881863", "0.68826133", "0.68815064", "0.6881078", "0.68771756", "0.6875212", "0.68744373", "0.68711984", "0.6858978", "0.68558776", "0.6855172", "0.6854685", "0.685434", "0.68525875", "0.6851834", "0.6851834", "0.684266", "0.6836586", "0.6836431", "0.6828333", "0.68276715", "0.68262815", "0.6823921", "0.682295", "0.68167603", "0.68164384", "0.6809564", "0.68086857", "0.6807804", "0.6807734", "0.68067646", "0.6802192", "0.67943805", "0.67934304", "0.6791657", "0.6789546", "0.6789006", "0.67878324", "0.67877173", "0.6781847", "0.6765398", "0.6765197", "0.6764246", "0.6756036", "0.6755023", "0.6751404", "0.67508715", "0.6743043", "0.67387456", "0.6736752", "0.67356426", "0.6732893", "0.6726715", "0.6726464", "0.67196447", "0.67157453", "0.6714399", "0.67140275", "0.6708251", "0.6707117", "0.670393", "0.6700697", "0.66995865", "0.66989213", "0.6697588", "0.66939527", "0.66908985", "0.668935" ]	0.0	-1
Receive submitted media data, read configuration file and insert data to DB and KafkaQueue as per configuration	public ServiceOutputObject execute(FormMediaValue formMediaValue) throws TokenNotFoundException, TokenExpiredException, IOException, DataNotFoundException, ValidationException, InterruptedException;	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void uploadDataFromFile()\n {\n String jobSeekerFile = (\"JobSeeker.txt\");\n String jobRecruiterFile = (\"JobRecruiter.txt\");\n String jobFile = (\"Job.txt\");\n String notificationFile = (\"Notification.txt\");\n \n String jobSeekerLines = readFile(jobSeekerFile);\n String jobRecruiterLines = readFile(jobRecruiterFile);\n String jobLines = readFile(jobFile);\n String notificationLines = readFile(notificationFile);\n \n storeJobSeekersToJobSeekerList(jobSeekerLines);\n storeJobRecruitersToJobRecruiterList(jobRecruiterLines);\n storeJobsToJobList(jobLines);\n storeNotificationsToNotificationList(notificationLines);\n \n }", "public void run() {\n\n\n if (videoFile != null) {\n //\n // Add Image to Photos Gallery\n //\n //final Uri uri = addMediaToGallery(mInscribedVideoFile.getAbsolutePath(), MCameraActivity.this, \"video\");\n //final Uri uri = addMediaToGallery(videoFile.getAbsolutePath(), MCameraActivity.this, \"video\");\n //Log.e(TAG, \"uri--->\" + uri.getPath());\n\n //\n // Create a media bean and set the copyright for server flags\n //\n String media_id = \"\";\n try {\n media_id = copyrightJsonObject.getString(\"media_id\");\n copyrightJsonObject.put(\"applyCopyrightOnServer\", 1);\n copyrightJsonObject.put(\"device_id\", SessionManager.getInstance().getDevice_id());\n copyrightJsonObject.put(\"device_type\", Common.DEVICE_TYPE);\n } catch (JSONException e) {\n // this shouldn't occur\n Log.e(TAG, \"JSONException trying to get media_id from copyright!\");\n }\n String mediaName = ImageUtils.getInstance()\n .getImageNameFromPath(videoFile.getAbsolutePath());\n GalleryBean media = new GalleryBean(videoFile.getAbsolutePath(),\n mediaName,\n \"video\",\n media_id,\n false,\n thumbnail,\n GalleryBean.GalleryType.NOT_SYNC);\n media.setDeviceId(SessionManager.getInstance().getDevice_id());\n media.setDeviceType(Common.DEVICE_TYPE);\n String mediaNamePrefix = mediaName.substring(0,\n mediaName.lastIndexOf('.'));\n media.setMediaNamePrefix(mediaNamePrefix);\n media.setMediaThumbBitmap(thumbnail);\n media.setLocalMediaPath(videoFile.getAbsolutePath());\n Date date = new Date();\n media.setMediaDate(date.getTime());\n //String mimeType = getContentResolver().getType(uri);\n media.setMimeType(\"video/mp4\"); // must be set for Amazon.\n media.setCopyright(copyrightJsonObject.toString());\n\n MemreasTransferModel transferModel = new MemreasTransferModel(\n media);\n transferModel.setType(MemreasTransferModel.Type.UPLOAD);\n QueueAdapter.getInstance().getSelectedTransferModelQueue()\n .add(transferModel);\n\n // Start the service if it's not running...\n startQueueService();\n } else {\n //\n // Show Toast error occurred here...\n //\n videoFile.delete();\n }\n\n }", "@Override\n\tpublic void run() {\n\t\t// TODO Auto-generated method stub\n\t\ttry {\n\t\t\tSystem.out.println(\"Reading current input status message\");\n\n\t\t\tBufferedReader br = null;\n\t\t\tStatusInputMsg newMsg = new StatusInputMsg();\n\t\t\ttry {\n\n\t\t\t\tString currentLine;\n\t\t\t\tint inputType = 0;\n\n\t\t\t\tURL filePath = Producer.class.getResource(\"input.txt\");\n\t\t\t\tFile f = new File(filePath.getFile());\n\t\t\t\tbr = new BufferedReader(new FileReader(f));\n\t\t\t\t\n\t\t\t\twhile ((currentLine = br.readLine()) != null) {\n\t\t\t\t\tSystem.out.println(currentLine);\n\t\t\t\t\tif (\"# Section: Conveyor System\".equals(currentLine )) {\n\t\t\t\t\t\tif(!newMsg.isEmpty()){\n\t\t\t\t\t\t\tnewMsg.createFlightToGateMapping();\n\t\t\t\t\t\t\tStatusInputMsg pCopy = new StatusInputMsg();\n\t\t\t\t\t\t\tpCopy.copy(newMsg);\n\t\t\t\t\t\t\tqueue.put(pCopy);\n\t\t\t\t\t\t\tnewMsg.clear();\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t//Following Sleep can be varied to see the effect of processing speed\n\t\t\t\t\t\t\t//on the input capacity planning. Basically we can vary the speed with which\n\t\t\t\t\t\t\t//input is coming.\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tThread.sleep(2000);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tinputType = 1;\n\t\t\t\t\t\tcontinue;\n\t\t\t\t\t}\n\t\t\t\t\tif (\"# Section: Departures\".equals(currentLine )) {\n\t\t\t\t\t\tinputType = 2;\n\t\t\t\t\t\tcontinue;\n\t\t\t\t\t}\n\t\t\t\t\tif (\"# Section: Bags\".equals(currentLine )) {\n\t\t\t\t\t\tinputType = 3;\n\t\t\t\t\t\tcontinue;\n\t\t\t\t\t}\n\n\t\t\t\t\tswitch(inputType){\n\n\t\t\t\t\tcase 1:\n\t\t\t\t\t\tString[] line1 = currentLine.split(\" \");\n\t\t\t\t\t\tPath path = new Path(line1[0], line1[1], Integer.parseInt(line1[2]));\n\t\t\t\t\t\tnewMsg.getCurrEdge().add(path);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 2:\n\t\t\t\t\t\tString[] line2 = currentLine.split(\" \");\n\t\t\t\t\t\tDepartureFlight dp = new DepartureFlight(line2[0], line2[1], line2[2], line2[3]);\n\t\t\t\t\t\tnewMsg.getCurrFlightStatus().add(dp);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\tcase 3:\n\t\t\t\t\t\tString[] line3 = currentLine.split(\" \");\n\t\t\t\t\t\tBaggage baggage = new Baggage(line3[0], line3[1], line3[2]);\n\t\t\t\t\t\tnewMsg.getCurrBaggage().add(baggage);\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\n\t\t\t\t}\n\n\t\t\t} catch (IOException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t} finally {\n\t\t\t\ttry {\n\t\t\t\t\tif (br != null)br.close();\n\t\t\t\t\tif(!newMsg.isEmpty()){\n\t\t\t\t\t\tnewMsg.createFlightToGateMapping();\n\t\t\t\t\t\tStatusInputMsg pCopy = new StatusInputMsg();\n\t\t\t\t\t\tpCopy.copy(newMsg);\n\t\t\t\t\t\tqueue.put(pCopy);\n\t\t\t\t\t\tnewMsg.clear();\n\t\t\t\t\t\tThread.sleep(2000);\n\t\t\t\t\t}\n\t\t\t\t} catch (IOException ex) {\n\t\t\t\t\tex.printStackTrace();\n\t\t\t\t}\n\t\t\t}\n\n\n\t\t} catch (InterruptedException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\n\t}", "@Override\n public void run()\n {\n logger.info(\"Starting the producer \" + Thread.currentThread().getName());\n /\n Process all files inside this directory\n /\n if (file.isDirectory())\n {\n logger.debug(file.getAbsolutePath() + \" is a directory. Processing directory files (one level only)\");\n\n File[] files = file.listFiles(new FilenameFilter()\n {\n @Override\n public boolean accept(File dir, String name)\n {\n if (name.startsWith(\".\"))\n return false;\n else\n return true;\n }\n });\n\n for (File f : files)\n {\n this.processFile(f);\n }\n }\n /\n * Process the file\n /\n else\n {\n this.processFile(this.file);\n }\n\n try\n {\n // Sleep a second to wait other threads to finish their processes\n Thread.sleep(1000);\n }\n catch (InterruptedException e)\n {\n\n e.printStackTrace();\n }\n\n logger.info(\"Finishing producer \" + Thread.currentThread().getName());\n\n /\n * Generates a dummy Entity to stop the consumers\n /\n Entity e = new Entity(ImporterConstants.CANCEL_ENTITY_URI, null);\n\n try\n {\n queue.put(e);\n }\n catch (InterruptedException e1)\n {\n e1.printStackTrace();\n }\n\n }", "public abstract void processMsg(ConsumerRecord<byte[], byte[]> record);", "public void run() {\n if (latch != null)\n latch.countDown();\n\n System.out.println(\"transferring from \" + job.srcUrl + \" to \" + job.dstUrl);\n\n String srcScheme;\n String dstScheme;\n\n try {\n srcScheme = SchemeParser.getScheme(job.srcUrl);\n dstScheme = SchemeParser.getScheme(job.dstUrl);\n } catch (Exception e) {\n setError(e.getMessage());\n return;\n }\n\n Receiver probe = Receiver.getProbeForScheme(srcScheme);\n if (probe == null) {\n setError(String.format(\"unsupported scheme: %s\", srcScheme));\n return;\n }\n\n FileInfo info;\n try {\n System.out.println(\"query src file header information...\");\n info = probe.getFileInfo(job.srcUrl, new HashMap<>());\n System.out.println(\"file size: \" + info.size);\n } catch (Receiver.ReceiverOperationError e) {\n setError(e.getMessage());\n return;\n }\n\n Receiver receiver = Receiver.getReceiverForScheme(srcScheme, info.size);\n if (receiver == null) {\n setError(String.format(\"unsupported scheme: %s\", srcScheme));\n return;\n }\n\n Sender sender = Sender.getSenderForScheme(dstScheme, info.size);\n if (sender == null) {\n setError(String.format(\"unsupported scheme: %s\", dstScheme));\n return;\n }\n\n Downloader downloader = Downloader.getDownloader();\n Uploader uploader = Uploader.getUploader();\n\n File buffer = new File(\"buffer.file\");\n\n try {\n System.out.println(\"start downloading...\");\n FileOutputStream writer = new FileOutputStream(buffer);\n downloader.download(job.srcUrl, new HashMap<>(), receiver, writer);\n writer.close();\n System.out.println(\"download finished\");\n\n System.out.println(\"start uploading...\");\n FileInputStream reader = new FileInputStream(buffer);\n uploader.upload(job.dstUrl, new HashMap<>(), sender, reader);\n reader.close();\n System.out.println(\"upload finished\");\n\n } catch (FileNotFoundException e) {\n setError(\"can't crate buffer file for download\");\n return;\n } catch (Exception e) {\n setError(String.format(\"download error: %s\", e.getMessage()));\n return;\n }\n }", "public void configure() {\n\n // here is a sample which processes the input files\n // (leaving them in place - see the 'noop' flag)\n // then performs content based routing on the message using XPath\n\n }", "public void init() {\n initiateConfig();\n initiateKafkaStuffs();\n log.info(\"Kafka consumer and producer for topic [{}] started.\", topic);\n\n service.submit(() -> {\n while (true) {\n try {\n ConsumerRecords<String, byte[]> records = consumer.poll(3000);\n for (ConsumerRecord<String, byte[]> record : records) {\n log.info(\"Reveive kafka message from topic [{}] with key [{}]\", topic, record.key());\n repository.get(record.key()).offer(record.value());\n accounter.incrementAndGet();\n }\n while (accounter.get() != 0) {\n Thread.sleep(5);\n }\n consumer.commitSync();\n } catch (Exception e) {\n log.warn(\"Something wrong happened during message pulling process\", e);\n consumer.close();\n consumer = null;\n initiateConsumer();\n }\n }\n });\n }", "private void initData() {\n\n MyLog.log(\"调用录音上传接口\");\n MosHelper.startCheck(new MosHelper.mosSourceListener() {\n\n @Override\n public void getMosSource(String testTest, ArrayList<String> source) {\n // TODO Auto-generated method stub\n\n }\n\n @Override\n public void getMosIMEIAndId(String IMEI,\n String sourceId) {\n // TODO Auto-generated method stub\n MyLog.log(\"IMEI::\" + IMEI);\n Message message = handler.obtainMessage();\n message.obj = \"IMEI::\" + IMEI + \"\\n\" + \"sourceID:\\n\" + sourceId;\n message.what = 8;\n handler.sendMessage(message);\n\n }\n });\n }", "public void run() {\n // Check if the specified connector is null\n //\n if(this.connector == null) {\n System.out.println(\"[ERROR] connector is null aborting\");\n return;\n }\n\n //\n // Keep reading messages\n //\n while (true) {\n AeMessage inMsg = connector.read();\n if(inMsg == null) {\n System.out.println(\"[ERROR] Received an invalid message\");\n connector.reconnect();\n try {\n Thread.sleep(10000);\n }\n catch(Exception e) {\n }\n }\n else {\n //\n // Reject messages over two minutes old\n //\n if(inMsg.checkMessageOlderThan(120) == 1) {\n System.out.println(\"[INFO] Message has expired: \" + inMsg.toString());\n }\n else if(inMsg.getMessageType().equals(\"22\")) {\n System.out.println(\"[INFO] Received message:\" + inMsg.toString());\n if(messageStore.reportMessage(inMsg)) {\n System.out.println(\"[INFO] Successfully added message to the store\");\n }\n else {\n System.out.println(\"[ERROR] Failed to add message to the store\");\n }\n }\n }\n }\n }", "public void parse(){\n\t\tFile file = new File(fileLocation);\n\n\t\tlong seed = ConfigurationData.DEFAULT_SEED;\n\t\tString outputDest = ConfigurationData.DEFAULT_OUTPUT_DESTINATION;\n\t\tLong tickLength = ConfigurationData.DEFAULT_TICK_LENGTH;\n\t\tint port = ConfigurationData.DEFAULT_PORT;\n\n\t\ttry {\n\n\t\t\tScanner sc = new Scanner(file);\n\n\t\t\twhile(sc.hasNext()){\n\t\t\t\tString[] tok = sc.next().split(\"=\");\n\t\t\t\tswitch(tok[0]){\n\t\t\t\tcase \"seed\":\n\t\t\t\t\tseed = Long.parseLong(tok[1]);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"outputDestination\":\n\t\t\t\t\toutputDest = tok[1];\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"tickLength\":\n\t\t\t\t\ttickLength = Long.parseLong(tok[1]);\n\t\t\t\t\tbreak;\n\t\t\t\tcase \"port\":\n\t\t\t\t\tport = Integer.parseInt(tok[1]);\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}\n\n\t\t\tsc.close();\n\n\t\t\tconfigurationData = new ConfigurationData(seed, outputDest, tickLength, port);\n\t\t} \n\t\tcatch (FileNotFoundException e) {\n\t\t\tPrintWriter writer;\n\t\t\ttry {\n\t\t\t\twriter = new PrintWriter(fileLocation, \"UTF-8\");\n\t\t\t\twriter.println(\"seed=\"+seed);\n\t\t\t\twriter.println(\"outputDestination=\"+outputDest);\n\t\t\t\twriter.println(\"tickLength=\"+tickLength);\n\t\t\t\twriter.println(\"port=\"+port);\n\t\t\t\twriter.close();\n\t\t\t} catch (FileNotFoundException e1) {\n\t\t\t\te1.printStackTrace();\n\t\t\t} catch (UnsupportedEncodingException e1) {\n\t\t\t\te1.printStackTrace();\n\t\t\t}\n\t\t\tconfigurationData = ConfigurationData.makeDefault();\n\t\t\tSystem.out.println(\"Default file created\");\n\t\t}\n\t}", "public Object importAsAiring() {\n\n if (NewFile==null)\n return null;\n\n String MovedFileString = NewFile.getAbsolutePath();\n\n File MovedFile = new File(MovedFileString);\n\n if (!MovedFile.exists()) {\n Log.getInstance().write(Log.LOGLEVEL_ERROR, \"RecordingEpisode.importAsMediaFile: Error. MovedFile does not exist.\");\n }\n\n // Add the MediaFile to the database.\n Object MF = MediaFileAPI.AddMediaFile(MovedFile, RecSubdir);\n if (MF == null) {\n Log.getInstance().write(Log.LOGLEVEL_ERROR, \"RecordingEpisode.importAsMediaFile: AddMediaFile failed for \" + MovedFile.getAbsolutePath());\n return null;\n }\n \n Log.getInstance().write(Log.LOGLEVEL_TRACE, \"RecordingEpisode.importAsMediaFile: Added MediaFile into subdir \" + RecSubdir);\n\n String Title = ShowTitle;\n boolean IsFirstRun = true;\n String Episode = EpisodeTitle;\n String Description = ChanItem.getCleanDescription();\n long Duration = ChanItem.getDuration();\n String Category = \"PodcastRecorder\";\n String SubCategory = ShowTitle;\n String Author = ChanItem.getAuthor();\n String PeopleList[] = {\"Author\"};\n String RolesList[] = {Author};\n String Rated = null;\n String ExpandedRatedList[] = null;\n String Year = Utility.DateFormat(\"yyyy\", Utility.Time());\n String ParentalRating = null;\n String MiscList[] = {RSSHelper.makeID(ChanItem)};\n Long Now = Utility.Time();\n String NowString = Now.toString();\n String ExternalID = \"ONL\" + NowString;\n String AiringExternalID = \"EP\" + NowString;\n String Language = \"http\";\n long OriginalAirDate = Utility.Time();\n\n Object Show = ShowAPI.AddShow(\n Title,\n IsFirstRun,\n Episode,\n Description,\n Duration,\n Category,\n SubCategory,\n PeopleList,\n RolesList,\n Rated,\n ExpandedRatedList,\n Year,\n ParentalRating,\n MiscList,\n ExternalID,\n Language,\n OriginalAirDate);\n\n if (Show == null) {\n Log.getInstance().write(Log.LOGLEVEL_ERROR, \"RecordingEpisode.importAsMediaFile: AddShow failed.\");\n return null;\n }\n\n if (!MediaFileAPI.SetMediaFileShow(MF, Show)) {\n Log.getInstance().write(Log.LOGLEVEL_ERROR, \"RecordingEpisode.importAsMediaFile: SetMediaFileShow failed.\");\n return null;\n }\n\n Log.getInstance().write(Log.LOGLEVEL_TRACE, \"RecordingEpisode.importAsMediaFile succeeded.\");\n\n // Change the ExternalID metadata to something that starts with \"EP\" to turn the Imported video\n // file into an archived TV recording.\n MediaFileAPI.SetMediaFileMetadata(MF, \"ExternalID\", AiringExternalID);\n\n // Clear the Archived flag.\n MediaFileAPI.MoveTVFileOutOfLibrary(MF);\n\n Airing = MediaFileAPI.GetMediaFileAiring(MF);\n\n if (!AiringAPI.IsAiringObject(Airing)) {\n Log.getInstance().write(Log.LOGLEVEL_ERROR, \"RecordingEpisode.importAsMediaFile: Object is not an Airing.\");\n return null;\n }\n\n // Set metadata to show this is a Podcast.\n MediaFileAPI.SetMediaFileMetadata(MF, METADATA_PODCAST, \"true\");\n\n // Set metadata if this is a Favorite.\n MediaFileAPI.SetMediaFileMetadata(MF, METADATA_FAVORITE, isFavorite ? \"true\" : \"false\");\n\n // Set metadata for OVT, OVI and FeedContext. This can be used at a later time to\n // match MediaFiles to Podcasts.\n MediaFileAPI.SetMediaFileMetadata(MF, METADATA_OVT, OVT);\n MediaFileAPI.SetMediaFileMetadata(MF, METADATA_OVI, OVI);\n MediaFileAPI.SetMediaFileMetadata(MF, METADATA_FEEDCONTEXT, FeedContext);\n\n // Use ManualRecord properties to store Airing information.\n AiringAPI.SetManualRecordProperty(Airing, METADATA_PODCAST, \"true\");\n AiringAPI.SetManualRecordProperty(Airing, METADATA_FAVORITE, isFavorite ? \"true\" : \"false\");\n AiringAPI.SetManualRecordProperty(Airing, METADATA_OVT, OVT);\n AiringAPI.SetManualRecordProperty(Airing, METADATA_OVI, OVI);\n AiringAPI.SetManualRecordProperty(Airing, METADATA_FEEDCONTEXT, FeedContext);\n\n // Return the Airing.\n return Airing;\n }", "@Override\n public void configure(Context context) {\n this.context = context;\n this.projectConfigure = new ProjectConfigure(context.getString(\"project_conf_path\", \"\"));\n //初始化变量\n ProjectConfigure.BaseConfigure baseSinkConf = projectConfigure.checkUpdate();\n copyBaseSinkConf(baseSinkConf);\n\n Preconditions.checkArgument(this.batchSize > 0, \"batchSize must be greater than 0\");\n\n this.filePath = (String) Preconditions.checkNotNull((Object)context.getString(\"hdfs.path\"), \"hdfs.path is required\");\n if (this.filePath.endsWith(DIRECTORY_DELIMITER)) {\n this.filePath += DIRECTORY_DELIMITER;\n }\n\n if (this.sinkCounter == null) {\n this.sinkCounter = new SinkCounter(this.getName());\n }\n }", "public ArrayList<VideoFile> playData(String topic, String title, String mode) {\n Extras.print(\"CONSUMER: Video request\");\n ArrayList<VideoFile> videos = null;\n try {\n //CONSUMER HASN'T ASK FOR A VIDEO YET\n //ASK YOUR MAIN BROKER FOR A VIDEO\n if (hashTagToBrokers == null \|\| hashTagToBrokers.isEmpty()) {\n //OPEN CONNECTION\n Socket connection = new Socket(IP, PORT);\n\n //REQUEST VIDEO\n ObjectOutputStream out = new ObjectOutputStream(connection.getOutputStream());\n out.writeObject(\"PULL\");\n out.flush();\n out.writeObject(title);\n out.flush();\n out.writeObject(topic);\n out.flush();\n\n //GET ANSWER FROM BROKER\n ObjectInputStream in = new ObjectInputStream(connection.getInputStream());\n String message = (String) in.readObject();\n switch (message) {\n //BROKER HAS THE VIDEO,SEND VIDEO\n case \"ACCEPT\":\n Extras.print(\"CONSUMER: Pull request accepted\");\n videos = receiveData(in, mode);\n if(mode.equals(\"save\")){\n VideoFileHandler.write(videos);\n }\n disconnect(connection);\n return videos;\n //PUBLISHER DOESN'T EXIST\n case \"FAILURE\":\n Extras.printError(\"Publisher doesn't exist.\");\n disconnect(connection);\n return null;\n //BROKER DOESN'T HAVE THE VIDEO, SEND OTHER BROKERS\n case \"DECLINE\":\n getBrokers(in);\n }\n disconnect(connection);\n }\n //CHECK THE HASHMAP TO CHOOSE THE RIGHT BROKER\n int brokerPort = hashTagToBrokers.get(topic);\n if (brokerPort == 0) {\n Extras.printError(\"Publisher dosen't exist.\");\n return null;\n }\n Socket connection = new Socket(IP, brokerPort);\n //REQUEST VIDEO\n ObjectOutputStream out = new ObjectOutputStream(connection.getOutputStream());\n out.writeObject(\"PULL\");\n out.flush();\n out.writeObject(topic);\n out.flush();\n\n //GET ANSWER FROM BROKER\n ObjectInputStream in = new ObjectInputStream(connection.getInputStream());\n String message = (String) in.readObject();\n switch (message) {\n case \"ACCEPT\":\n Extras.print(\"CONSUMER: Pull request accepted\");\n videos = receiveData(in, mode);\n break;\n default:\n Extras.printError(\"CONSUMER: PLAY: ERROR: INCONSISTENCY IN BROKERS.\");\n }\n disconnect(connection);\n } catch (IOException e) {\n Extras.printError(\"CONSUMER: PLAY: ERROR: Could not get streams.\");\n } catch (ClassNotFoundException cnf){\n Extras.printError(\"CONSUMER: PLAY: ERROR: Could not cast Object to String\");\n }\n return videos;\n }", "@Override\n public void run() {\n System.out.println(\"Starting producer\");\n File file = new File(dirPath + \"/studentVle.csv\");\n BufferedReader reader = null;\n try {\n reader = new BufferedReader(new FileReader(file));\n String tempString = null;\n tempString = reader.readLine();\n while ((tempString = reader.readLine()) != null) {\n this.buffer.put(tempString);\n }\n reader.close();\n } catch (IOException \| InterruptedException e) {\n e.printStackTrace();\n }\n }", "public void run() {\n\t\t\t\t\tString resultString = upload(url, formParameters, datas);\n\t\t\t\t\tif (null != resultString) {\n\t\t\t\t\t\tMessage message = handler.obtainMessage(MessageWhat.UPLOADRESP, resultString);\n\t\t\t\t\t\thandler.sendMessage(message);\n\t\t\t\t\t}\n\t\t\t\t}", "public void run() {\n\t\t\t\t\tMessage msg;\n\t\t\t\t\tVector<File> files = new Vector<File>();\n\t\t\t\t\tfiles.add(new File(fileName));\n\t\t\t\t\tString result = upload(url, formParameters, files);\n\t\t\t\t\tif (StringUtils.isEmpty(result)) {\n\t\t\t\t\t\tmsg = handler.obtainMessage(Constant.UPLOAD_FAIL_CODE, Constant.UPLOAD_EXCEPTION);\n\t\t\t\t\t\thandler.sendMessage(msg);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tLog.i(TAG, result);\n\t\t\t\t\t\tmsg = handler.obtainMessage(messageWhat, result);\n\t\t\t\t\t\thandler.sendMessage(msg);\n\t\t\t\t\t}\n\n\t\t\t\t}", "@Override\n public void run() {\n synchronized (this) {\n status = Status.PLAYING;\n }\n //every iteration pulls a new frame from the media reader\n while (true) {\n try {\n synchronized (this) {\n checkForStatusChanges();\n }\n } catch (Exception ex) {\n logger.error(Thread.currentThread().getName() + \" exception while updating media reader\", ex);\n cleanup();\n return;\n }\n try {\n if (frameIterator != null) {\n dataReader.readData(frameIterator, frameStorage);\n }\n } catch (InterruptedException ex) {\n logger.debug(Thread.currentThread().getName() + \" processor interrupted while reading data\", ex);\n cleanup();\n return;\n } catch (Exception ex) {\n logger.error(Thread.currentThread().getName() + \" exception while reading data\", ex);\n }\n if (Thread.currentThread().isInterrupted()) {\n cleanup();\n return;\n }\n }\n }", "public void run(){\n // first register the producer\n m_DirectoryQueue.registerProducer();\n\n enqueueFiles(f_Root);\n\n //lastly unregister the producer\n m_DirectoryQueue.unregisterProducer();\n }", "@Override\r\n\t\t\tpublic void run() {\n\t\t\t\tList<ATTACH> mAttachs = SQLiteUtils.getInstance(mContext)\r\n\t\t\t\t\t\t.getEmailAttachsFromDb(emailUsername, emailUid);\r\n\t\t\t\t// feed = readFile(path + \"/\" + AppfileName);\r\n\t\t\t\tmDetails = SQLiteUtils.getInstance(mContext)\r\n\t\t\t\t\t\t.getEmailDetailFromDb(emailUsername, emailUid);\r\n\t\t\t\tandroid.os.Message msg = mHandler.obtainMessage();\r\n\t\t\t\tmsg.what = 1;\r\n\t\t\t\tmsg.obj = mAttachs;\r\n\t\t\t\tmHandler.sendMessage(msg);\r\n\t\t\t}", "private void setAndWriteFiles()\n\t{\n\t\tSensorConfiguration config = new SensorConfiguration();\n\t\tString versionMajor = ConfigurationInterface_v1_0.VERSION.substring(0,\n\t\t\t\tConfigurationInterface_v1_0.VERSION.indexOf('.'));\n\t\tString versionMinor = ConfigurationInterface_v1_0.VERSION\n\t\t\t\t.substring(ConfigurationInterface_v1_0.VERSION.indexOf('.') + 1);\n\t\tconfig.setConfigurationInterfaceVersion(versionMajor, versionMinor);\n\n\t\tStartModes startModes = new StartModes();\n\t\t// set startMode for sensorConfiguration\n\t\tfor (StartMode element : startModes.getStartModeList())\n\t\t{\n\t\t\tif (element.getName().equals(\"DEFINED_TIME\"))\n\t\t\t{\n\t\t\t\tconfig.setStartMode(element);\n\t\t\t}\n\t\t}\n\n\t\tConfigurationSets configSets = new ConfigurationSets();\n\t\t// set configurationSet for sensorConfiguration\n\t\tfor (ConfigurationSet element : configSets.getConfigSetList())\n\t\t{\n\t\t\tif (element.getName().equals(\"mesana\"))\n\t\t\t{\n\n\t\t\t\tconfig.setConfigurationSet(element);\n\t\t\t}\n\t\t}\n\n\t\tif (config.getStartMode().getName().equals(\"DEFINED_TIME\"))\n\t\t{\n\n\t\t\tCalendar calendar = Calendar.getInstance();\n\t\t\tcalendar.set(Calendar.DAY_OF_MONTH, 10);\n\t\t\tcalendar.set(Calendar.HOUR_OF_DAY, 5);\n\t\t\tcalendar.set(Calendar.MINUTE, 11);\n\t\t\tDate date = calendar.getTime();\n\t\t\tconfig.setRecordingStartTime(date);\n\t\t}\n\t\telse\n\t\t{\n\t\t\tconfig.setRecordingStartTime(null);\n\t\t}\n\t\t\n\t\tconfig.setRecordingDuration(12000);\n\t\t\n\t\ttry\n\t\t{\n\t\t\tConnectionManager.getInstance().currentSensor(0).setSensorConfiguration(config);\n\t\t\t\n\t\t\tConnectionManager.getInstance().currentSensor(0).writeConfigFile();\n\t\t\t\n\t\t\t// write Encrypted data to sensor\n\t\t\tConnectionManager.getInstance().currentSensor(0).writeEncryptedParameters(\"123456789abcd12\");\n\t\t\t\n\t\t\tint index = customerList.getSelectionIndex();\n\t\t\tif (index >= 0 && index <= mCollect.getList().size())\n\t\t\t{\n\t\t\t\tString linkId = mCollect.getList().get(index).getLinkId();\n\t\t\t\tconfig.addParameter(\"LinkId\", linkId);\n\t\t\t}\n\t\t\t// write custom data to additional file in sensor\n\t\t\tConnectionManager.getInstance().currentSensor(0).writeCustomFile();\n\t\t}\n\t\tcatch (SensorNotFoundException e)\n\t\t{\n\t\t\tstatusBar.setText(e.getMessage());\n\t\t}\n\t}", "private void startConsumeMsg() {\n try {\n ConsumerRecords<byte[], byte[]> records;\n while (true) {\n records = kafkaConsumer.poll(Long.MAX_VALUE);\n for (ConsumerRecord<byte[], byte[]> record : records) {\n processMsg(record);\n kafkaConsumer.commitSync();\n LOG.info(\"Single consumer consume the message {}th\", counter.incrementAndGet());\n }\n\n }\n } catch (Exception ex) {\n LOG.error(\"Consumer get message error {}\", ex);\n } finally {\n LOG.info(\"Shutting down consumer ...\");\n shutdown();\n }\n }", "@Override\n public void configure() throws Exception {\n from(\"direct:populateKafka\")\n // .threads(Integer.parseInt(Config.getProperty(\"threadPoolSize\")), Integer.parseInt(Config.getProperty(\"maxthreadPoolSize\")))\n .process(new Processor() {\n @Override\n public void process(Exchange exchange) throws Exception {\n try {\n exchange.getOut().setHeaders(exchange.getIn().getHeaders());\n DataSource ds = exchange.getIn().getHeader(\"dataSource\", DataSource.class);\n String kafkaPath = \"kafka:\" + Config.getProperty(\"kafkaURI\") + \"?topic=ds\" + ds.getSrcID() + \"&serializerClass=\" + Config.getProperty(\"kafkaSerializationClass\");\n exchange.getOut().setBody(exchange.getIn().getBody());\n exchange.getOut().setHeader(KafkaConstants.PARTITION_KEY, \"1\");\n exchange.getOut().setHeader(\"kPath\", kafkaPath);\n System.out.println(\"Successfully populated Kafka\");\n } catch (Exception e) {\n\n e.printStackTrace();\n }\n }\n })\n .recipientList(header(\"kPath\"));\n\n }", "@Override\n\t\tpublic void run() {\n\t\t\tmFiles = DataSourceManager.getSongFileList(currentAlbumPath);\n\t\t\tif (mFiles == null \|\| mFiles.length == 0) {\n\t\t\t\treturn;\n\t\t\t}\n\t\t\tif (mPlayPos < 0 \|\| mPlayPos > mFiles.length -1) {\n\t\t\t\tmPlayPos = 0;\n\t\t\t}\n\t\t\t/Message msg = mMediaplayerHandler.obtainMessage(PREPARE_PLAY);\n\t\t\tif (msg == null) {\n\t\t\t\tmsg = new Message();\n\t\t\t\tmsg.what = PREPARE_PLAY;\n\t\t\t\t\n\t\t\t}\n\t\t\tBundle data = new Bundle();\n\t\t\tdata.putString(MSG_PLAY_PATH, mFiles[mPlayPos]);\n\t\t\tdata.putInt(MSG_PLAY_POSITION, mSeek);\n\t\t\tmsg.setData(data);\n\t\t\tmMediaplayerHandler.sendMessage(msg);/\n\t\t\t\n\t\t\tsendHandlerInitialized(mFiles[mPlayPos], false);\n\t\t}", "private void uploadingPacketDealer(Packet packet) {\n short filenumber = packet.getFileNumber();\n boolean downloading = false;\n \n if (packet.hasSynchronizeFlag()) { \n receiver = new ReliableReceiver(sendQueue, filenumber, downloading, FOLDERPATHSERVER);\n this.receivingMap.put(filenumber, receiver);\n receiver.start();\n receiver.addToReadingQueue(packet.getContent(), packet.getSeqNumber(), packet.hasFinalFlag());\n } else if (packet.hasAcknowledgementFlag()) {\n sender = sendingMap.get(filenumber);\n sender.changeLastAcknowledgeReceived(packet.getAckNumber());\n sendQueue.stopTimeout(packet.getAckNumber()-1);\n } else {\n receiver = receivingMap.get(filenumber);\n receiver.addToReadingQueue(packet.getContent(), packet.getSeqNumber(), packet.hasFinalFlag());\n }\n \n }", "private static void performInitialSync() throws IOException,ConfigurationException {\n\n LOGGER.info(\"Starting to perform initial sync\");\n //tapDump is basically that -- a dump of all data currently in CB.\n TapStream tapStream = tapClient.tapDump(tapName);\n SolrBatchImportEventHandler couchbaseToSolrEventHandler = new SolrBatchImportEventHandler();\n startupBatchDisruptor(couchbaseToSolrEventHandler);\n RingBuffer<CouchbaseEvent> ringBuffer = disruptor.getRingBuffer();\n\n CouchbaseEventProducer producer = new CouchbaseEventProducer(ringBuffer);\n //While there is data keep reading and producing\n while (!tapStream.isCompleted()) {\n while (tapClient.hasMoreMessages()) {\n ResponseMessage responseMessage;\n responseMessage = tapClient.getNextMessage();\n if (null != responseMessage) {\n String key = responseMessage.getKey();\n String value = new String(responseMessage.getValue());\n producer.onData(new String[] {key, value}, responseMessage.getOpcode());\n\n }\n }\n }\n LOGGER.info(\"Finished initial sync\");\n shutdownBatchDisruptor();\n //Since this event handler is batch based, we need to let it know we are done and it could flush the remaining data.\n couchbaseToSolrEventHandler.flush();\n\n }", "public void run(){\n\t\tFileFeeder fileFeeder = new FileFeeder(mySQLConnection,logWindow, fileIssueList, true);\n\t\tThread feederThread = new Thread(fileFeeder);\n\t\tfeederThread.start();\n\t\twhile (moreFilesComing \|\| !fileList.isEmpty()){ //if more data still to process or more data coming\n\t\t\tDataFile dataFile;\n\t\t\tif ((dataFile = fileList.poll()) != null){ //something to actually write\n\t\t\t\tsynchronized(fileList){\n\t\t\t\t\tfileList.notify();\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\tlogWindow.println(\"Processing data from file: \"+dataFile.fileName+\"...\");\n\t\t\t\t\n\t\t\t\tBufferedReader inputStream = null;\n\t\t\t\ttry {\n\t\t\t\t\tinputStream = new BufferedReader(new FileReader(dataFile.file));\n\t\n\t\t\t\t\tString fileDateFormat = getFileInfo(dataFile,inputStream);\n\t\t\t\t\t\n\t\t\t\t\tif (dataFile.frequency!=0 && !dataFile.meterSerial.equals(\"\")){ //if got valid info\n\t\t\t\t\t\t\n\t\t\t\t\t\ttry{\n\t\t\t\t\t\t\tString fileExistsSQL = \"SELECT FROM files WHERE site_id = \"+dataFile.siteID+\" AND source_id = \"+dataFile.sourceID+\" AND file_name = '\"+dataFile.fileName+\"' AND meter_sn = '\"+dataFile.meterSerial+\"' AND frequency = \"+dataFile.frequency;\n\t\t\t\t\t\t\tResultSet fileExistsQuery = dbConn.createStatement().executeQuery(fileExistsSQL);\n\t\t\t\t\t\t\tif (fileExistsQuery.next()==false){ //if no files with same site,source,filename,meterserial and frequency exist\n\n\t\t\t\t\t\t\t\tgetValidData(dataFile,fileDateFormat,inputStream);\n\n\t\t\t\t\t\t\t\tif (dataFile.dataList.size()>0){\n\t\t\t\t\t\t\t\t\tlogWindow.println(\"Processing of data complete.\");\n\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t/try{\n\t\t\t\t\t\t\t\t\t\tString fetchRangeLimitsSQL = \"SELECT min,max FROM ranges WHERE source_id = \"+dataFile.sourceID+\" AND site_id = \"+dataFile.siteID;\n\t\t\t\t\t\t\t\t\t\tResultSet fetchRangeLimitsRS = dbConn.createStatement().executeQuery(fetchRangeLimitsSQL);\n\n\t\t\t\t\t\t\t\t\t\tif (fetchRangeLimitsRS.next()){\n\t\t\t\t\t\t\t\t\t\t\tdataFile.rangeMin = fetchRangeLimitsRS.getDouble(\"min\");\n\t\t\t\t\t\t\t\t\t\t\tdataFile.rangeMax = fetchRangeLimitsRS.getDouble(\"max\");\n\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\telse{\n\t\t\t\t\t\t\t\t\t\t\tlogWindow.println(\"No range limits found for \"+dataFile.sourceID+\" or site \"+dataFile.siteID+\". Adding defaults now...\");\t\n\n\t\t\t\t\t\t\t\t\t\t\tdataFile.rangeMin = Source.getRangeMin(dataFile.sourceType,dataFile.measurementType);\n\t\t\t\t\t\t\t\t\t\t\tdataFile.rangeMax = Source.getRangeMax(dataFile.sourceType,dataFile.measurementType,dataFile.frequency);\n\n\t\t\t\t\t\t\t\t\t\t\ttry{\n\t\t\t\t\t\t\t\t\t\t\t\tString setRangeLimitsSQL = \"INSERT INTO ranges (site_id,source_id,min,max) VALUES(\"+dataFile.siteID+\",\"+dataFile.sourceID+\",\"+dataFile.rangeMin+\",\"+dataFile.rangeMax+\")\";\n\t\t\t\t\t\t\t\t\t\t\t\tdbConn.createStatement().executeUpdate(setRangeLimitsSQL);\n\t\t\t\t\t\t\t\t\t\t\t}catch(SQLException sE){ //NON FATAL\n\t\t\t\t\t\t\t\t\t\t\t\tsE.printStackTrace();\n\t\t\t\t\t\t\t\t\t\t\t\tlogWindow.println(\"Warning: could not write range limits to database for file \"+dataFile.fileName+\".\");\t\n\t\t\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t\t\t\t\tSimpleDateFormat dateFormatter = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\");\n\t\t\t\t\t\t\t\t\t\tdateFormatter.setTimeZone(TimeZone.getTimeZone(\"GMT+10\"));\n\t\t\t\t\t\t\t\t\t\tdataFile.startDate = dateFormatter.format(dataFile.dataList.get(0).dateTime);\n\t\t\t\t\t\t\t\t\t\tdataFile.endDate = dateFormatter.format(dataFile.dataList.get(dataFile.dataList.size()-1).dateTime);/\n\n\t\t\t\t\t\t\t\t\t\tfileFeeder.addFile(dataFile); //Send file to feeder\n\n\t\t\t\t\t\t\t\t\t/} catch (SQLException sE){\n\t\t\t\t\t\t\t\t\t\tsE.printStackTrace();\n\t\t\t\t\t\t\t\t\t}/\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\telse{\n\t\t\t\t\t\t\t\t\tlogWindow.println(\"Ignored file \"+dataFile.fileName+\". No Data found in file.\");\t\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\telse{\n\t\t\t\t\t\t\t\tlogWindow.println(\"Ignored file \"+dataFile.fileName+\". This file already exists for source \"+dataFile.sourceID+\" at site \"+dataFile.siteID+\".\");\t\n\t\t\t\t\t\t\t}\n\n\t\t\t\t\t\t} catch(SQLException sE){\n\t\t\t\t\t\t\t//TODO need error here\n\t\t\t\t\t\t\tsE.printStackTrace();\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t\telse{\n\t\t\t\t\t\tlogWindow.println(dataFile.frequency+\" \"+dataFile.meterSerial);\n\t\t\t\t\t\tlogWindow.println(\"Ignored file \"+dataFile.fileName+\". Could not determine essential file information.\");\t\n\t\t\t\t\t}\n\t\t\t\t\n\t\t\t\t} catch (IOException err){\n\t\t\t\t\tdataFile.dataList.clear();\n\t\t\t\t\tlogWindow.println(\"Unable to read from file: \"+dataFile.fileName+\"\\r\\nNo data will be written from this file.\");\n\t\t\t\t\tSystem.err.println(\"IOException: \"+err.getMessage());\n\t\t\t\t} finally {\n\t\t\t\t\tif (inputStream != null){\n\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\tinputStream.close();\n\t\t\t\t\t\t} catch (IOException err) {\n\t\t\t\t\t\t\tSystem.err.println(\"IOException: \"+err.getMessage());\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t\ttry{\n\t\t\t\tsynchronized(fileList){ //waiter\n\t\t\t\t\twhile (moreFilesComing && fileList.isEmpty()){\n\t\t\t\t\t\tfileList.notify(); //notify adder just in case things got stuck\n\t\t\t\t\t\tfileList.wait(); //wait for a file to be added to file List.\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} catch (InterruptedException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t}\n\t\tsynchronized(fileFeeder.fileList){\n\t\t\tfileFeeder.moreFilesComing = false;\n\t\t\tfileFeeder.fileList.notify();\n\t\t}\n\t\ttry {\n\t\t\tfeederThread.join();\n\t\t} catch (InterruptedException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\t//Date endTime = new Date();\n\t\t//logWindow.println(\"Finished sending file(s) to writer for source: \"+sourceID);\n\t\t//logWindow.println(\"Time taken: \"+getTimeString(endTime.getTime()-startTime.getTime()));\n\t}", "public void callbackForGatheredMediainformation(MediaFile mediaFile) {\n }", "protected void configClient() throws IOException, InterruptedException {\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardThreeGreen.getDeckNumber(),deckProductionCardThreeGreen.getDeck()));\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardThreeBlu.getDeckNumber(),deckProductionCardThreeBlu.getDeck()));\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardThreeYellow.getDeckNumber(),deckProductionCardThreeYellow.getDeck()));\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardThreeViolet.getDeckNumber(),deckProductionCardThreeViolet.getDeck()));\n\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardTwoGreen.getDeckNumber(),deckProductionCardTwoGreen.getDeck()));\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardTwoBlu.getDeckNumber(),deckProductionCardTwoBlu.getDeck()));\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardTwoYellow.getDeckNumber(),deckProductionCardTwoYellow.getDeck()));\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardTwoViolet.getDeckNumber(),deckProductionCardTwoViolet.getDeck()));\n\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardOneGreen.getDeckNumber(),deckProductionCardOneGreen.getDeck()));\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardOneBlu.getDeckNumber(),deckProductionCardOneBlu.getDeck()));\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardOneYellow.getDeckNumber(),deckProductionCardOneYellow.getDeck()));\n notifyObserver(new DeckProductionCardConfigMessage(deckProductionCardOneViolet.getDeckNumber(),deckProductionCardOneViolet.getDeck()));\n\n notifyObserver(new ConfigurationMarketMessage(market.getInitialMarbleList()));\n\n\n }", "@SuppressWarnings(\"AccessingNonPublicFieldOfAnotherObject\")\n\t// Accessing final fields of a private inner class that is not exported\n\tprivate void processFile(boolean initial)\n\t{\n\t\tlog(Level.INFO, \"Processing MOTD file \" + f.getPath());\n\t\tBufferedReader in = null;\n\t\tMessage curr = null;\n\t\tfinal LinkedList<Message> stack = new LinkedList<Message>();\n\n\t\ttry\n\t\t{\n\t\t\tin = new BufferedReader(new FileReader(f));\n\n\t\t\twhile (in.ready())\n\t\t\t{\n\t\t\t\tString line = in.readLine().trim();\n\n\t\t\t\tif (line.charAt(0) == '#') continue;\n\t\t\t\tif (line.equals(\"[Message]\"))\n\t\t\t\t{\n\t\t\t\t\tif (curr != null) stack.push(curr);\n\t\t\t\t\tcurr = new Message();\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\n\t\t\t\tif (curr == null) continue;\n\t\t\t\tint div = line.indexOf('=');\n\t\t\t\tif (div == -1) continue;\n\n\t\t\t\tString field = line.substring(0,div).toLowerCase();\n\t\t\t\tString value = line.substring(div+1);\n\n\t\t\t\tif (field.equals(\"id\"))\n\t\t\t\t{\n\t\t\t\t\tcurr.id = Integer.parseInt(value);\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (initial) continue; // We only care for ids in initial pass\n\t\t\t\tif (field.equals(\"active\"))\n\t\t\t\t{\n\t\t\t\t\tcurr.active = Boolean.valueOf(value);\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (field.equals(\"title\"))\n\t\t\t\t{\n\t\t\t\t\tcurr.title = value;\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (field.equals(\"short\"))\n\t\t\t\t{\n\t\t\t\t\tcurr.mshort = value;\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (field.equals(\"long\"))\n\t\t\t\t{\n\t\t\t\t\tcurr.mlong = value;\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (field.equals(\"from\"))\n\t\t\t\t{\n//\t\t\t\t\tcurr.from = new Date(value).getTime();\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (field.equals(\"to\"))\n\t\t\t\t{\n//\t\t\t\t\tcurr.to = new Date(value).getTime();\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (field.equals(\"posterid\"))\n\t\t\t\t{\n\t\t\t\t\tcurr.poster_uid = value;\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (field.equals(\"postername\"))\n\t\t\t\t{\n\t\t\t\t\tcurr.poster_name = value;\n\t\t\t\t\tcontinue;\n\t\t\t\t}\n\t\t\t\tif (field.equals(\"showunix\")) continue;\n\n\t\t\t\tlog(Level.WARNING, \"Unknown Field '\" + field + \"'\");\n\t\t\t}\n\t\t}\n\t\tcatch (IOException ex)\n\t\t{\n\t\t\tlog(Level.WARNING, ex);\n\t\t}\n\t\tcatch (Throwable ex)\n\t\t{\n\t\t\tlog(Level.SEVERE, ex.getMessage());\n\t\t}\n\t\tfinally\n\t\t{\n\t\t\ttry\n\t\t\t{\n\t\t\t\tin.close();\n\t\t\t}\n\t\t\tcatch (IOException ex)\n\t\t\t{\n\t\t\t}\n\t\t}\n\n\t\tif (curr != null) stack.push(curr);\n\t\tlastModified = f.lastModified();\n\n\t\tif (initial)\n\t\t{\n\t\t\tif (stack.size() > 0) lastId = stack.getLast().id;\n\t\t\treturn;\n\t\t}\n\t\tfor (Message m : stack)\n\t\t{\n\t\t\tif (m.id > lastId)\n\t\t\t{\n\t\t\t\tlog(Level.INFO, \"Sending MOTD Notice #\" + m.id);\n\t\t\t\tgetInstance().message(channel, m.toString());\n\t\t\t\tlastId = m.id;\n\t\t\t}\n\t\t}\n\t}", "private void init() {\n\n MyFileReader finalResultReader = null;\n\n finalResultReader = new MyFileReader(FilePath.billboardCombineResultPath);\n\n String line = \"\";\n\n while (true) {\n\n line = finalResultReader.getNextLine();\n if (line == null)\n break;\n\n String[] elements = line.split(\" \");\n if (elements.length == 1)\n continue; // skip those billboard which can not influence any route\n\n String panelID = elements[0].split(\"~\")[0]; // panelID~weeklyImpression\n int weeklyImpression = Integer.parseInt(elements[0].split(\"~\")[1]);\n\n\n List<Integer> routeIDs = new ArrayList<>();\n\n for (int i = 1; i < elements.length; i++) {\n\n int routeID = Integer.parseInt(elements[i]);\n //if (routeID < length) {\n routeIDs.add(routeID);\n //}\n }\n\n panelIDs.add(panelID);\n weeklyImpressions.add(weeklyImpression);\n routeIDsOfBillboards.add(routeIDs);\n\n }\n setUpRouteIDsAndIndexes();\n finalResultReader.close();\n }", "public void intiSettings()throws Exception{\r\n\r\n\t\tinputStream = new FileInputStream(System.getProperty(\"user.dir\")+\"\\\\config.properties\");\r\n\t\tconfig.load(inputStream);\r\n\t\t\r\n\t\tprop.put(\"bootstrap.servers\", config.getProperty(\"bootstrap.servers\"));\r\n\t\tprop.put(\"key.serializer\", \"org.apache.kafka.common.serialization.StringSerializer\");\r\n\t\tprop.put(\"value.serializer\", \"org.apache.kafka.common.serialization.StringSerializer\");\r\n\r\n\t\ttopicName = config.getProperty(\"TopicName\");\r\n\t\ttopicName = createTopic(topicName);\r\n\t\t\r\n\t\tmessageList = Arrays.asList(config.getProperty(\"messages\").split(\"\\\\\|\"));\r\n\t}", "@Override\n\tpublic ComposerStatus compose(SystemConfig config, SystemContext systemContext) throws ComposerException {\n\t\tComposerStatus status = ComposerStatus.done;\t\n\t\tSet<String> datasinkExpectedQueues = new HashSet<String>(6);\n\n\t\ttry{\n\t\t\t\n\t\t\tif(config.getDataSinks() != null){\n\t\t\t\tfor(DataSink dataSink : config.getDataSinks()){\n\n\t\t\t\t\t//if user datasink is in the ingestapi list, continue\n\t\t\t\t\tJSONObject datasinkJson = this.getDatasink(dataSink.getFqn());\n\t\t\t\t\tif (datasinkJson != null) {\n\t\t\t\t\t\t\n\t\t\t\t\t\t// Generate configuration filenames\n\t\t\t\t\t\tString datasinkname = SystemBuilderUtil.getSystemParameterValue(datasinkJson, \"shortname\");\n\t\t\t\t\t\tif (datasinkname == null) {\n\t\t\t\t\t\t\tdatasinkname = StringUtils.deleteWhitespace(SystemBuilderUtil.getSystemParameterValue(datasinkJson, \"name\"));\n\t\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\t\tif (datasinkname == null) \n\t\t\t\t\t\t\tthrow new ComposerException(String.format(\"%s is missing either the name or shortname overridden parameters in the plugin.\",dataSink.getFqn()));\n\t\t\t\t\t\t\n\t\t\t\t\t\tString pipelineFilename = String.format(\"%s.%s.xml\", PIPELINE_FILENAME, datasinkname);\n\t\t\t\t\t\tString pipelineDefaultFilename = String.format(\"%s.%s.default.xml\", PIPELINE_FILENAME, datasinkname);\n\t\t\t\t\t\tString servicesFilename = String.format(\"%s.%s.xml\", SERVICES_FILENAME, datasinkname);\n\t\t\t\t\t\t\n\t\t\t\t\t\t/\n\t\t\t\t\t\t output pipeline file, common for all datasinks\n\t\t\t\t\t\t /\n\t\t\t\t\t\t((XMLInstantiationProxy<?>) (factoryDefinition.getDefaultEntry())).setDefinitionFile(pipelineDefaultFilename);\n\t\t\t\t\t\t\n\t\t\t\t\t\tFile file = new File(outDir + pipelineFilename);\n\t\t\t\t\t\tserializer.createDefinitionFile(factoryDefinition, file); //output pipeline config file\n\t\t\t\t\t\t\n\t\t\t\t\t\t/\n\t\t\t\t\t\t * output pipeline file that is specific for this datasink\n\t\t\t\t\t\t /\n\t\t\t\t\t\tXMLParser tmpParser = new XMLParser(true); //create parser\n\n\t\t\t\t\t\t// dynamically build template\n\t\t\t\t\t\tString pipelineTemplate = buildDatasinkXmlTemplate(dataSink.getFqn(), datasinkJson);\n\t\t\t\t\t\t\n\t\t\t\t\t\t//recursively replace properties in data sink template\n\t\t\t\t\t\tInputStream is = new ByteArrayInputStream(properties.filterProperty(pipelineTemplate).getBytes());\n\t\t\t\t\t\ttmpParser.readXmlFileFromStream(is); //parse template to document\n\t\t\t\t\t\tis.close();\n\t\t\t\t\t\t\n\t\t\t\t\t\t//recursively search elements and attributes to replace user configured parameters\n\t\t\t\t\t\ttmpParser = replaceTemplateParameters(dataSink,tmpParser, tmpParser.getDocumentElement(), tmpParser.getDocumentElement().getNodeName());\n\t\t\t\t\t\t\n\t\t\t\t\t\ttmpParser.writeXmlFile(outDir + pipelineDefaultFilename); //output pipeline default xml file\n\t\t\t\t\t\t\n\t\t\t\t\t\t/\n\t\t\t\t\t\t * read services xml filefrom template, filter to resolve properties, then output\n\t\t\t\t\t\t /\n\t\t\t\t\t\ttmpParser = new XMLParser(true); //reset parser\n\t\t\t\t\t\t\n\t\t\t\t\t\t// Dynamically generate the datasink's services.X.xml vs reading static configs from jar\n\n\t\t\t\t\t\tint numThreads = 0;\n\t\t\t\t\t\tString dataSinkProcessGroupDependencies = \"\";\n\t\t\t\t\t\tboolean usesBlockStorage = false;\n\t\t\t\t\t\tfor (DataSinkConfig sysContextDsinkConfig : systemContext.getDataSinkConfigs()) {\n\t\t\t\t\t\t\tif (sysContextDsinkConfig.getFqn().equals(dataSink.getFqn())) {\n\t\t\t\t\t\t\t\tnumThreads = sysContextDsinkConfig.getNumThreads();\n\t\t\t\t\t\t\t\tdataSinkProcessGroupDependencies = sysContextDsinkConfig.getProcessGroupDependencies();\t\n\t\t\t\t\t\t\t\tusesBlockStorage = sysContextDsinkConfig.isUsesBlockStorage();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\t\tif (numThreads < 1)\n\t\t\t\t\t\t\tthrow new ComposerException(String.format(\"Unable to determine the number of threads to configure for %s\",dataSink.getFqn()));\n\t\t\t\t\t\t\n\t\t\t\t\t\tString servicesXmlTemplate = DatasinkProcessingServicesBuilder.build(numThreads, templateDir, usesBlockStorage, dataSinkProcessGroupDependencies);\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t//set queue name for processor for each data sink\n\t\t\t\t\t\tproperties.setProperty(\"generated.datasink.queue.name\", SystemBuilderUtil.generateDataModelQueueName(dataSink.getFqn()));\n\t\t\t\t\t\tdatasinkExpectedQueues.add(properties.getProperty(\"generated.datasink.queue.name\"));\n\t\t\t\t\t\t\n\t\t\t\t\t\t// set the shortname for this datasink which is used for the pipeline definition reference\n\t\t\t\t\t\tproperties.setProperty(\"shortname\", datasinkname);\n\t\t\t\t\t\t\n\t\t\t\t\t\t//recursively replace properties in data sink template\n\t\t\t\t\t\tis = new ByteArrayInputStream(properties.filterProperty(servicesXmlTemplate).getBytes());\n\t\t\t\t\t\ttmpParser.readXmlFileFromStream(is); //parse template to document\n\t\t\t\t\t\tis.close();\n\t\t\t\t\t\t\n\t\t\t\t\t\ttmpParser.writeXmlFile(outDir + servicesFilename); //output services xml file\n\t\t\t\t\t\t\n\t\t\t\t\t\t//temporary fix, correct after v1.0 release, outputs alerting datasink topic name to property file\n\t\t\t\t\t\tif(\"com.deleidos.rtws.ext.datasink.AlertingDataSink\".equals(dataSink.getFqn())){\n\t\t\t\t\t\t\tifTopicExistsSetProperty(dataSink);\n\t\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\t}//end if data sink exists\n\t\t\t\t}//end for\n\t\t\t}//end if data sink config from user\n\t\t}\n\t\tcatch(ComposerException ce){\n\t\t\tstatus = ComposerStatus.error;\n\t\t\tthrow ce;\n\t\t}\n\t\tcatch(Exception e){\n\t\t\tlogger.error(e.toString(), e);\n\t\t\te.printStackTrace();\n\t\t\tstatus = ComposerStatus.error;\n\t\t\tthrow new ComposerException(e.toString(), e);\n\t\t}\n\t\t\n\t\tStringBuilder sb = new StringBuilder();\n\t\tfor (String expectedQueue : datasinkExpectedQueues) {\n\t\t\tsb.append(expectedQueue);\n\t\t\tsb.append(\",\");\t\t\t\n\t\t}\n\t\t// save off all expected internal jms queue names\n\t\tlogger.info(String.format(\"datasink.internal.queues: {%s}\",sb.toString()));\n\t\tproperties.setProperty(\"datasink.internal.queues\", sb.toString());\n\t\t\n\t\treturn status;\n\t}", "public static void processConfig() {\r\n\t\tLOG.info(\"Loading Properties from {} \", propertiesPath);\r\n\t\tLOG.info(\"Opening configuration file ({})\", propertiesPath);\r\n\t\ttry {\r\n\t\t\treadPropertiesFile();\r\n\r\n\t\t} catch (Exception e) {\r\n\t\t\tLOG.error(\r\n\t\t\t\t\t\"Monitoring system encountered an error while processing config file, Exiting\",\r\n\t\t\t\t\te);\r\n\t\t}\r\n\t}", "@Override\r\n public void run() {\n upload();\r\n }", "public static void main(String[] args) {\n\n\n final KafkaProducer<String, String> kafkaProducer = new KafkaProducer<String, String>(getKafkaProducerProperties());\n\n // kafka\n final String topic = \"test-4\";\n\n // queue manager.\n String PARAM_QUEUE_NAME = \"DEV.QUEUE.1\";\n String PARAM_USERNAME = \"app\";\n String PARAM_PASSWORD = \"passw0rd\";\n String PARAM_QMGR_CHANNEL_NAME = \"DEV.APP.SVRCONN\";\n String PARAM_QMGR_NAME = \"QM1\";\n int PARAM_QMGR_PORT = 1414;\n String PARAM_QMGR_HOST_NAME = \"localhost\";\n\n Connection conn = null;\n\n try {\n\n // Set up the connection factory to connect to the queue manager,\n // populating it with all the properties we have been provided.\n MQConnectionFactory cf = new MQQueueConnectionFactory();\n cf.setTransportType(WMQConstants.WMQ_CM_CLIENT);\n cf.setHostName(PARAM_QMGR_HOST_NAME);\n cf.setPort(PARAM_QMGR_PORT);\n cf.setQueueManager(PARAM_QMGR_NAME);\n cf.setChannel(PARAM_QMGR_CHANNEL_NAME);\n\n // Create the connection to the queue manager\n conn = cf.createConnection(PARAM_USERNAME, PARAM_PASSWORD);\n\n // Create a session and a queue object to enable us to interact with the\n // queue manager. By creating a transactional session we can roll back\n // the message onto the queue if the processing fails.\n Session session = conn.createSession(true, 0);\n Queue q = session.createQueue(\"queue:///\"+PARAM_QUEUE_NAME);\n\n // For testing purposes we can put some messages onto the queue using this\n\n // Set up the consumer to read from the queue\n MessageConsumer consumer = session.createConsumer(q);\n\n // Don't forget to start the connection before trying to receive messages!\n conn.start();\n\n try {\n\n // Read messages from the queue and process them until there\n // are none left to read.\n while (true) {\n Message receivedMsg = consumer.receiveNoWait();\n if (receivedMsg != null) {\n // use final -> multithreading env\n final TextMessage rcvTxtMsg = (TextMessage) receivedMsg;\n final String txt = rcvTxtMsg.getText();\n final ProducerRecord<String, String> objectStringProducerRecord = new ProducerRecord<>(topic, null, txt);\n kafkaProducer.send(objectStringProducerRecord, (recordMetadata, e) -> {\n if (e!=null){\n logger.warn(\"Producer call back end up with exception\");\n try {\n session.rollback();\n logger.warn(\"Ibm mq session rollback\");\n } catch (JMSException ex) {\n logger.warn(\"Ibm mq session failed to rollback\");\n ex.printStackTrace();\n }\n } else {\n try {\n session.commit();\n logger.info(\"Transaction success: Message was committed by IBM MQ Session and was delivered by Kafka-producer to kafka topic: {}, with offset: {}\", recordMetadata.topic(), recordMetadata.offset());\n } catch (JMSException ex) {\n logger.info(\"Transaction failed: Message was not committed by IBM MQ Session\");\n throw new RuntimeException(e);\n }\n }\n });\n\n\n // Since we returned from processing the message without\n // an exception being thrown we have successfully\n // processed the message, so increment our success count\n // and commit the transaction so that the message is\n // permanently removed from the queue.\n// messagesProcessed++;\n// session.commit();\n }\n\n }\n\n } catch (JMSException jmse2)\n {\n // This block catches any JMS exceptions that are thrown during\n // the business processing of the message.\n jmse2.printStackTrace();\n\n // Roll the transaction back so that the message can be put back\n // onto the queue ready to have its proessing retried next time\n // the action is invoked.\n session.rollback();\n throw new RuntimeException(jmse2);\n\n } catch (RuntimeException e) {\n e.printStackTrace();\n\n // Roll the transaction back so that the message can be put back\n // onto the queue ready to have its proessing retried next time\n // the action is invoked.\n session.rollback();\n throw e;\n }\n\n // Indicate to the caller how many messages were successfully processed.\n\n } catch (JMSException jmse) {\n // This block catches any JMS exceptions that are thrown before the\n // message is retrieved from the queue, so we don't need to worry\n // about rolling back the transaction.\n jmse.printStackTrace();\n\n // Pass an indication about the error back to the caller.\n throw new RuntimeException(jmse);\n\n } finally {\n if (conn != null) {\n try {\n conn.close();\n } catch (JMSException jmse2) {\n // Swallow final errors.\n }\n }\n }\n\n }", "public void checkPMDataForUpload() {\n /\n TODO: 16/2/9\n TODO 1.Size of states should have a range. Ex. just query last week data for upload\n TODO 2.The largest size of a week data should be 7 * 24 * 3600, is it decent to upload at one time?\n TODO 3.Is is necessary for server to have a authentication, since it looks currently everyone could upload through api.\n /\n\n String idStr = aCache.getAsString(Const.Cache_User_Id);\n if (ShortcutUtil.isStringOK(idStr) && !idStr.equals(\"0\")) {\n final List<State> states = cupboard().withDatabase(db).query(State.class).withSelection(DBConstants.DB_MetaData.STATE_HAS_UPLOAD +\n \"=? AND \" + DBConstants.DB_MetaData.STATE_CONNECTION + \"=?\", \"0\", \"1\").list();\n //FileUtil.appendStrToFile(DBRunTime, \"1.checkPMDataForUpload upload batch start size = \" + states.size());\n isUploadRunning = true;\n String url = HttpUtil.UploadBatch_url;\n JSONArray array = new JSONArray();\n final int size = states.size()<1000?states.size():1000;\n for (int i=0;i<size;i++) {\n JSONObject tmp = State.toJsonobject(states.get(i), aCache.getAsString(Const.Cache_User_Id));\n array.put(tmp);\n }\n JSONObject batchData = null;\n try {\n batchData = new JSONObject();\n batchData.put(\"data\", array);\n } catch (JSONException e) {\n e.printStackTrace();\n }\n JsonObjectRequest jsonObjectRequest = new JsonObjectRequest(Request.Method.POST, url, batchData, new Response.Listener<JSONObject>() {\n @Override\n public void onResponse(JSONObject response) {\n isUploadRunning = false;\n try {\n String value = response.getString(\"succeed_count\");\n FileUtil.appendStrToFile(DBRunTime, \"1.checkPMDataForUpload upload success value = \" + value);\n if (Integer.valueOf(value) == size) {\n for (int i=0;i<size;i++) {\n updateStateUpLoad(states.get(i), 1);\n }\n }\n } catch (JSONException e) {\n e.printStackTrace();\n }\n// if (isBackground != null && isBackground.equals(bgStr))\n// Toast.makeText(getApplicationContext(), Const.Info_Upload_Success, Toast.LENGTH_SHORT).show();\n }\n }, new Response.ErrorListener() {\n @Override\n public void onErrorResponse(VolleyError error) {\n if (error.getMessage() != null)\n FileUtil.appendErrorToFile(DBRunTime,\"1.checkPMDataForUpload error getMessage\" + error.getMessage());\n if (error.networkResponse != null)\n FileUtil.appendErrorToFile(DBRunTime, \"1.checkPMDataForUpload networkResponse statusCode \" + error.networkResponse.statusCode);\n FileUtil.appendErrorToFile(DBRunTime,\"1.checkPMDataForUpload error \" + error.toString());\n isUploadRunning = false;\n// if (isBackground != null && isBackground.equals(bgStr))\n// Toast.makeText(getApplicationContext(), Const.Info_Upload_Failed, Toast.LENGTH_SHORT).show();\n }\n }) {\n public Map<String, String> getHeaders() throws AuthFailureError {\n HashMap<String, String> headers = new HashMap<String, String>();\n headers.put(\"Content-Type\", \"application/json; charset=utf-8\");\n return headers;\n }\n };\n jsonObjectRequest.setRetryPolicy(new DefaultRetryPolicy(\n Const.Default_Timeout_Long,\n DefaultRetryPolicy.DEFAULT_MAX_RETRIES,\n DefaultRetryPolicy.DEFAULT_BACKOFF_MULT));\n VolleyQueue.getInstance(getApplicationContext()).addToRequestQueue(jsonObjectRequest);\n }\n }", "public void configure(JobConf jobConf, MapperConf mapConf)\r\n\t\t\tthrows TwisterException {\r\n\t\tthis.jobConf = jobConf;\r\n\t\tFileData fileData = (FileData) mapConf.getDataPartition();\r\n\t\tthis.image = new StaticImageVectorData();\r\n\t\ttry {\r\n\t\t\tthis.image.loadDataFromTextFile(fileData.getFileName());\r\n\t\t} catch (Exception e) {\r\n\t\t\tthrow new TwisterException(e);\r\n\t\t}\r\n\t}", "public void run(boolean encrypted) throws Exception {\n InputStream inputStream = context.getContentResolver().openInputStream(uri);\n\n //read file\n BufferedReader reader = new BufferedReader(new InputStreamReader(inputStream));\n\n //initiate empty array list to store records retrieved\n ArrayList<Record> newRecords = new ArrayList<>();\n\n //initiate base64 for decoding\n CryptographyBase64 b64 = new CryptographyBase64();\n\n //check if file is encrypted\n if (encrypted){\n //read encrypted file\n String line;\n StringBuilder encryptedMessage = new StringBuilder();\n while ((line = reader.readLine()) != null ){\n encryptedMessage.append(line);\n }\n //decrypt message and add transactions to database\n String decrypted = new Cryptography(context).Decrypt(encryptedMessage.toString());\n for (String dataLine : decrypted.split(\"\\n\")){\n\n //separate data by delimiter\n String[] data = dataLine.split(delimiter);\n\n //decode images if not null\n byte[] decodedImg = (!data[6].equals(\"null\")) ? b64.b64ToBytes(data[6]) : null;\n\n //add record to arrayList\n newRecords.add(new Record(data[0], data[1],Double.parseDouble(data[2]), data[3], data[4],data[5], decodedImg, wallet.getWalletId()));\n }\n }\n else{\n //read file line by line\n String line;\n while ((line = reader.readLine()) != null ){\n String[] data = line.split(delimiter); //separate data by delimiter\n\n //decode images if not null\n byte[] decodedImg = (!data[6].equals(\"null\")) ? b64.b64ToBytes(data[6]) : null;\n\n //add record to arrayList\n newRecords.add(new Record(data[0], data[1],Double.parseDouble(data[2]), data[3], data[4],data[5], decodedImg, wallet.getWalletId()));\n }\n }\n\n //insert records to database in bulk when completed\n dbHandler.addRangeRecord(newRecords);\n Toast.makeText(context, \"File successfully imported\", Toast.LENGTH_SHORT).show();\n }", "@Override\n public void handleInsert(MemoryBatchMessage msg, String dpSchemaName, boolean shouldStageData) {\n MongoCollection<Document> collection = MongoDBHelper.INSTANCE.getCollection(\"test\", \"c1\");\n msg.getDpSinkRecords().values().forEach(dpSinkRecord -> {\n System.out.println(\"Insert \" + dpSinkRecord.getDataJson());\n JSONObject json = dpSinkRecord.getDataJson();\n collection.insertOne(Document.parse(json.toString()));\n });\n\n }", "@Override\n public void run() {\n int queueSize = dataQueue.size();\n List<IData> allDataList = new ArrayList<>(queueSize);\n dataQueue.drainTo(allDataList, queueSize);\n\n // each data list\n List<MarketData> marketDatas = new ArrayList<>(queueSize);\n List<Order> orders = new ArrayList<>();\n List<Position> positions = new ArrayList<>();\n List<IndicatorInformation> indicatorInformations = new ArrayList<>();\n List<ModelInformation> modelInformations = new ArrayList<>();\n List<PLInformation> plInformations = new ArrayList<>();\n List<OptimizedExecution> executionInformations = new ArrayList<>();\n List<SystemInformation> systemInformations = new ArrayList<>();\n List<TimerInformation> timerInformations = new ArrayList<>();\n\n try {\n // Create List\n for (IData data : allDataList) {\n if (data instanceof MarketData) {\n marketDatas.add((MarketData) data);\n\n } else if (data instanceof Order) {\n orders.add((Order) data);\n\n } else if (data instanceof Position) {\n positions.add((Position) data);\n\n } else if (data instanceof IndicatorInformation) {\n indicatorInformations.add((IndicatorInformation) data);\n\n } else if (data instanceof ModelInformation) {\n modelInformations.add((ModelInformation) data);\n\n } else if (data instanceof PLInformation) {\n plInformations.add((PLInformation) data);\n\n } else if (data instanceof OptimizedExecution) {\n executionInformations.add((OptimizedExecution) data);\n\n } else if (data instanceof SystemInformation) {\n systemInformations.add((SystemInformation) data);\n\n } else if (data instanceof TimerInformation) {\n timerInformations.add((TimerInformation) data);\n\n } else {\n throw new UnExpectedDataException(data.getClass());\n }\n }\n\n // insert\n if (!marketDatas.isEmpty()) {\n // logger.debug(\"Insert List : MarketData - size = \" + marketDatas.size());\n eventDao.insert(MarketData.class, marketDatas);\n }\n if (!orders.isEmpty()) {\n // logger.debug(\"Insert List : Order - size = \" + orders.size());\n eventDao.insert(Order.class, orders);\n }\n if (!positions.isEmpty()) {\n // logger.debug(\"Insert List : Position - size = \" + positions.size());\n eventDao.insert(Position.class, positions);\n }\n if (!indicatorInformations.isEmpty()) {\n // logger.debug(\"Insert List : IndicatorInformation - size = \" + indicatorInformations.size());\n eventDao.insert(IndicatorInformation.class, indicatorInformations);\n }\n if (!modelInformations.isEmpty()) {\n // logger.debug(\"Insert List : ModelInformation - size = \" + modelInformations.size());\n eventDao.insert(ModelInformation.class, modelInformations);\n }\n if (!plInformations.isEmpty()) {\n // logger.debug(\"Insert List : PLInformation - size = \" + plInformations.size());\n eventDao.insert(PLInformation.class, plInformations);\n }\n if (!executionInformations.isEmpty()) {\n // logger.debug(\"Insert List : OptimizedExecution - size = \" + executionInformations.size());\n eventDao.insert(OptimizedExecution.class, executionInformations);\n }\n if (!systemInformations.isEmpty()) {\n // logger.debug(\"Insert List : SystemInformation - size = \" + systemInformations.size());\n eventDao.insert(SystemInformation.class, systemInformations);\n }\n if (!timerInformations.isEmpty()) {\n // logger.debug(\"Insert List : TimerInformation - size = \" + timerInformations.size());\n eventDao.insert(TimerInformation.class, timerInformations);\n }\n\n } catch (Exception e) {\n logger.error(\"Error in inserting data.\", e);\n }\n }", "public void readMessages() {\n if (!this.isConnectedToClientServer){return;}\n String inputMessage = inputQueue.poll();\n if (inputMessage != null){\n try{\n ClientMessageType messageType = ClientMessageParser.parse(inputMessage);\n if (messageType == ClientMessageType.INCOMING_BALL){\n //parses the message to get a ball, which is then added to the board\n Ball ball = ClientMessageParser.parseIncomingBall(inputMessage);\n board.addBall(ball);\n }\n else if (messageType == ClientMessageType.WALL_INVISIBILITY){\n //parses the messages to find out which boundary to make invisible, and does so\n BoundarySide whichBoundary = ClientMessageParser.parseWallInvisibility(inputMessage, board.neighbors);\n board.makeInvisible(whichBoundary);\n }\n else if (messageType == ClientMessageType.WALL_VISIBILITY){\n //parses the messages to find out which boundary to make visible, and does so\n BoundarySide whichBoundary = ClientMessageParser.parseWallVisibility(inputMessage, board.neighbors);\n board.makeVisible(whichBoundary);\n }\n else if (messageType == ClientMessageType.DISCONNECT_CLIENT){\n disconnectFromClientAndServer();\n }\n } catch (IncorrectFormatException e){\n //don't do anything --> message is not parsed, but play on this board still continues\n }\n }\n }", "@Override\n public void run() {\n try (BufferedReader reader = new BufferedReader(new FileReader(file.getAbsoluteFile()))) {\n String lineFromFile = reader.readLine();\n String[] splitLine;\n String userName;\n String url;\n long time;\n while ((lineFromFile = reader.readLine()) != null) {\n splitLine = lineFromFile.split(\";\");\n userName = splitLine[3];\n url = splitLine[1];\n time = Long.parseLong(splitLine[2]);\n if (userNamesAndCorrespondingContent.containsKey(userName)) {\n Content content = userNamesAndCorrespondingContent.get(userName);\n if (content.getUrlAndCorrespondingTime().containsKey(url)) {\n content.updateTimeForCorrespondingUrl(url, time);\n } else {\n content.updateUrlAndTimeInfoForCorrespondingUsername(url, time);\n }\n } else {\n Map<String, Long> newUrlAndTime = new ConcurrentSkipListMap<>();\n newUrlAndTime.put(url, time);\n userNamesAndCorrespondingContent.put(userName, new Content(newUrlAndTime));\n }\n }\n } catch (FileNotFoundException e) {\n e.printStackTrace();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "public void run(){\n ObjectWriter ow = new ObjectMapper().writer().withDefaultPrettyPrinter();\n\n// // We want to read the meta data from the beginning, we use seekToBeginning\n// consumer.seekToBeginning(consumer.assignment());\n\n // Poll for data\n logger.info(\"Polling stations metadata\");\n ConsumerRecords<String, Station> records = consumer.poll(Duration.ofSeconds(3));\n\n int recordCount = records.count();\n logger.info(\"Received \" + recordCount + \" records\");\n\n BulkRequest bulkRequest = new BulkRequest();\n String index;\n\n for (ConsumerRecord<String, Station> record : records){\n\n //Do something , for now we print\n logger.info(\"Topic: \" + record.topic() + \", Key: \" + record.key());\n logger.info(\"Value: \" + record.value());\n logger.info(\"Partition: \"+ record.partition() + \", Offset: \" + record.offset());\n\n if(record.topic().equals(\"ParkingStations_metadata\")){\n index = \"parking_metadata\";\n }else{\n if(record.topic().equals(\"EChargingStations_metadata\")) {\n index = \"e_charging_metadata\";}\n else{\n index = \"misc\";\n }\n }\n\n try {\n String id = record.value().getCode();\n logger.info(\"Inserting document : \" +index +\"/_doc/\"+ id);\n\n //Converting the Station to JSONString\n String jsonStation = ow.writeValueAsString(record.value());\n\n\n //Prepare data for bulk insert into ElasticSearch\n bulkRequest.add(new IndexRequest(index).id(id).source(jsonStation, XContentType.JSON));\n\n } catch (NullPointerException e){\n logger.warn(\"Skipping bad data: \" + record.value());\n }\n catch (JsonProcessingException e) {\n logger.warn(\"Count not parse this object to JSON: \" + e.getMessage());\n }\n }\n\n // We only commit if we recieved something\n // Bulk Insert of Data\n try{\n if (recordCount > 0) {\n BulkResponse bulkItemResponses = elasticSearchClient.bulk(bulkRequest, RequestOptions.DEFAULT);\n if (!bulkItemResponses.hasFailures()) {\n logger.info(\"Status of bulk request : \" + bulkItemResponses.status());\n logger.info(\"Committing offsets...\");\n consumer.commitSync();\n logger.info(\"Offsets have been committed\");\n }else{\n for (BulkItemResponse bulkItemResponse : bulkItemResponses) {\n if (bulkItemResponse.isFailed()) {\n BulkItemResponse.Failure failure = bulkItemResponse.getFailure();\n logger.error(\"Failure ID : \" + failure.getId() + \"\\tFailure Index : \"\n + failure.getIndex() + \"\\tFailure Message : \" + failure.getMessage());\n }\n }\n }\n\n Thread.sleep(500);\n }\n\n }\n catch(IOException e){\n logger.error(\"IO Exception while saving data into ElasticSearch \" + e.getMessage());\n }\n catch (InterruptedException e) {\n e.printStackTrace();\n }\n finally{\n consumer.close();\n }\n\n\n }", "private void uploadFromDataStorage() {\n }", "@Override\n\tpublic void run() {\n\t\twhile (receivingCommands) {\n\t\t\ttry {\n\t\t\t\tCommandHandler commandHandler = new CommandHandler(readNextLine());\n\t\t\t\tswitch (commandHandler.getCommand()) {\n\t\t\t\tcase REGISTER:\n\t\t\t\t\tString username = commandHandler.getParam(1);\n\t\t\t\t\tString password = commandHandler.getParam(2);\n\t\t\t\t\tfileCatalog.register(username, password);\n\t\t\t\t\tbreak;\n\t\t\t\tcase LOGIN:\n\t\t\t\t\tString username1 = commandHandler.getParam(1);\n\t\t\t\t\tString password1 = commandHandler.getParam(2);\n\t\t\t\t\tjwtToken = fileCatalog.login(username1, password1);\n\t\t\t\t\tbreak;\n\t\t\t\tcase LIST:\n\t\t\t\t\tList<? extends FileDTO> files = fileCatalog.list(jwtToken);\n\t\t\t\t\tfor (FileDTO file : files) {\n\t\t\t\t\t\tprintDetails(file);\n\t\t\t\t\t}\n\t\t\t\t\tbreak;\n\t\t\t\tcase DETAILS:\n\t\t\t\t\tString fileName = commandHandler.getParam(1);\n\t\t\t\t\tFileDTO file = fileCatalog.details(jwtToken, fileName);\n\t\t\t\t\tprintDetails(file);\n\t\t\t\t\tbreak;\n\t\t\t\tcase UPR:\n\t\t\t\t\tString pathFileToUploadReadOnly = commandHandler.getParam(1);\n\t\t\t\t\tString newFileNameOnServerReadOnly = commandHandler.getParam(2);\n\t\t\t\t\tfileCatalog.upload(jwtToken, newFileNameOnServerReadOnly, false);\n\t\t\t\t\t// TODO\n\t\t\t\t\tbreak;\n\t\t\t\tcase UPW:\n\t\t\t\t\tString pathFileToUpload = commandHandler.getParam(1);\n\t\t\t\t\tString newFileNameOnServer = commandHandler.getParam(2);\n\t\t\t\t\tfileCatalog.upload(jwtToken, newFileNameOnServer, true);\n\t\t\t\t\t// TODO\n\t\t\t\t\tbreak;\n\t\t\t\tcase DOWN:\n\t\t\t\t\tString fileNameToDL = commandHandler.getParam(1);\n\t\t\t\t\tString targetDirectory = commandHandler.getParam(2);\n\t\t\t\t\tString newNameDL = commandHandler.getParam(3);\n\t\t\t\t\tfileCatalog.download(jwtToken, fileNameToDL, targetDirectory, newNameDL);\n\t\t\t\t\t// TODO\n\t\t\t\t\tbreak;\n\t\t\t\tcase DELETE:\n\t\t\t\t\tString fileNameToDelete = commandHandler.getParam(1);\n\t\t\t\t\tfileCatalog.delete(jwtToken, fileNameToDelete);\n\t\t\t\t\t// TODO\n\t\t\t\t\tbreak;\n\t\t\t\tcase LOGOUT:\n\t\t\t\t\tjwtToken = null;\n\t\t\t\t\tsafePrintln(\"You have been logged out.\");\n\t\t\t\t\tbreak;\n\t\t\t\tcase QUIT:\n\t\t\t\t\treceivingCommands = false;\n\t\t\t\t\tsafePrintln(\"Good bye!\");\n\t\t\t\t\tbreak;\n\t\t\t\tcase HELP:\n\t\t\t\t\tfor (Command command : Command.values()) {\n\t\t\t\t\t\tif (command == Command.UNKNOWN) {\n\t\t\t\t\t\t\tcontinue;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tsafePrintln(command.toString().toLowerCase());\n\t\t\t\t\t}\n\t\t\t\t\tbreak;\n\t\t\t\tdefault:\n\t\t\t\t\tsafePrintln(\"Unrecognized command.\");\n\t\t\t\t}\n\t\t\t} catch (Exception e) {\n\t\t\t\tniceErrorPrint(e);\n\t\t\t}\n\t\t}\n\t}", "public void run() {\n Gson gson = new Gson();\n try {\n InputStream is = new FileInputStream(new File(filename));\n JsonReader reader = new JsonReader(new InputStreamReader(is));\n reader.setLenient(true);\n // Leggo la parentesi quadra aperta \"[\".\n reader.beginArray();\n while (reader.hasNext()) {\n String owner = null;\n List<Record> records = null;\n // Leggo la parentesi graffa aperta \"{\".\n reader.beginObject();\n while (reader.hasNext()) {\n String name = reader.nextName();\n if (name.equals(\"owner\")) {\n owner = reader.nextString();\n } else if (name.equals(\"records\")) {\n records = readRecords(reader);\n } else {reader.skipValue();}\n }\n // Leggo la parentesi graffa aperta \"}\".\n reader.endObject();\n // Inserisco nella coda condivisa il conto appena letto.\n queue.put(new Account(owner, records));\n }\n // Leggo la parentesi quadra chiusa \"]\".\n reader.endArray();\n reader.close();\n // Inserisco in coda gli oggetti poison per far terminare\n // i consumer.\n for (int i = 0; i < poison; i++) queue.put(new Account(null));\n } catch (Exception e) {\n System.err.println(\"Errore nel Producer: \" + e.getMessage());\n }\n finally {\n System.err.println(\"Producer terminato!\");\n }\n }", "public void run() {\n\n\t\t// produce messages\n\t\twhile (isConnected) {\n\n\t\t\ttry {\n\t\t\t\t// receive message\n\t\t\t\tMessage m = qreceiver.receive();\n\t\t\t\t// process message -- add message to the data holder\n\t\t\t\tprocessMessage(m);\n\t\t\t\t// check if the commit flag is set in the message property\n\t\t\t\tif (shouldCommit(m)) {\n\t\t\t\t\t// commit the transaction\n\t\t\t\t\tcommit(m);\n\t\t\t\t}\n\t\t\t\tThread.sleep(1000);\n\t\t\t\t\n\t\t\t} catch (TransactionRolledBackException trbe) {\n\t\t\t\tlog(\"transaction rolled back by MQ ...\");\n\t\t\t\t// rollback application data\n\t\t\t\trollBackApplication();\n\t\t\t} catch (JMSException jmse) {\n\t\t\t\t// The exception can happen when receiving messages\n\t\t\t\t// and the connected broker is killed.\n\t\t\t\tif (isConnected == true) {\n\t\t\t\t\t// rollback MQ and application data\n\t\t\t\t\trollBackAll();\n\t\t\t\t}\n\n\t\t\t} catch (Exception e) {\n\t\t\t\tlog(e);\n\n\t\t\t\t// application may decide NOT to close the connection\n\t\t\t\t// when an unexpected Exception occurred.\n\t\t\t\tclose();\n\t\t\t}\n\t\t}\n\t}", "@Override\r\n\tpublic void run() {\r\n\t\t// TODO Auto-generated method stub\r\n\t\t//Get a list of pairs. The pair will be a chunkname with a chunkserver \r\n\t\t/for(Pair<String, String> p: EventFactory.hostToFiles.getChunkLocations(message.getContent())){\r\n\t\t\tSystem.out.println(\"The location is: \" + p.getKey() + \" and the chunkname is: \" + p.getValue());\r\n\t\t\t\r\n\t\t\t//actual code will contact chunk servers and tell them to read and forward the file to the client\r\n\t\t\tMessage forwardToClient = new Message(\"ForwardChunkToClient\");\r\n\t\t\t//chunkname, servername, port\r\n\t\t\tforwardToClient.setContent(p.getKey());\r\n\t\t\t\r\n\t\t\ttry {\r\n\t\t\t\tTCPSender sender = new TCPSender(new Socket(p.getValue().split(\" \")[0], Integer.parseInt(p.getValue().split(\" \")[1])));\r\n\t\t\t\tsender.sendData(forwardToClient);\r\n\t\t\t\r\n\t\t\t\r\n\t\t\t} catch (NumberFormatException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t} catch (UnknownHostException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t\t\r\n\t\t}/\r\n\t\t//Send the list to the client so it can request the chunks from chunkServers\r\n\t\t//Any other way seems like it would be beyond a pain. \r\n\t\tLinkedList<String> fileAndHosts = new LinkedList<String>();\r\n\t\tfor(PairStrings p: EventFactory.hostToFiles.getChunkLocations(message.getContent())) {\r\n\t\t\tString fileAndHost = p.getValue() + \" \" + p.getKey();\r\n\t\t\tfileAndHosts.add(fileAndHost);\r\n\t\t}\r\n\t\t\r\n\t\tMessage getFromChunkServers = new Message(\"RequestChunksFromServers\");\r\n\t\t\r\n\t\t//If the list is empy, the no file was found, report invalid.\r\n\t\tif(fileAndHosts.size() == 0) {\r\n\t\t\tgetFromChunkServers.setList(fileAndHosts);\r\n\t\t\tgetFromChunkServers.setContent(\"invalid\" + \" \" + message.getContent());\r\n\t\t} else {\r\n\t\t\tgetFromChunkServers.setList(fileAndHosts);\r\n\t\t\tgetFromChunkServers.setContent(\"valid\" + \" \" + message.getContent());\r\n\t\t}\r\n\t\t\r\n\t\ttry {\r\n\t\t\tTCPSender sender = new TCPSender(new Socket(message.getSenderHostName(), message.getSenderPort()));\r\n\t\t\tsender.sendData(getFromChunkServers);\r\n\t\t} catch (IOException e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\t\r\n\t\t\r\n\t}", "private void configure(String[] args) throws Exception {\n\n listOfItemsets = new LinkedList<>();\n // setting fileContent\n postsText = args[0];\n\n // setting minsupport\n minSup = (Double.parseDouble(args[1]));\n // check if minsupport is a valid number in the range [0,1]\n if (minSup > 1 \|\| minSup < 0) {\n throw new Exception(\"minSup: bad value\");\n }\n\n // going though the file to compute numItems and numTransactions\n numItems = 0;\n numTransactions = 0;\n /String[] lines = postsText.split(\"\\n\");\n \tString firstLine = lines[0];\n \twords = Arrays.asList(firstLine.split(\" \"));\n /\n String[] lines = postsText.split(\"\\n\");\n\n words = new LinkedList<>();\n for (String l : lines) {\n String[] lineWords = l.split(\" \");\n for (String s : lineWords) {\n if (!words.contains(s)) {\n words.add(s);\n }\n }\n }\n numItems = words.size();\n for (int i = 1; i < lines.length; i++) {\n numTransactions++;\n }\n outputConfig();\n\n }", "void addMediaContent(String name, byte[] payload);", "private void ingestFileAsync(\r\n final String configId, final String checkSumValue, File configurationDirectory, File content)\r\n throws DepositorException {\n new ItemSession(this, configurations.get(configId), content, configurationDirectory, checkSumValue).start();\r\n }", "public Input readData() {\n JSONParser jsonParser = new JSONParser();\n List<Consumer> consumers = new ArrayList<>();\n List<Distributor> distributors = new ArrayList<>();\n List<Producer> producers = new ArrayList<>();\n List<MonthlyUpdates> monthlyUpdates = new ArrayList<>();\n long numberOfTurns;\n\n try {\n // Parsing the contents of the JSON file\n JSONObject jsonObject = (JSONObject) jsonParser.parse(new FileReader(inputPath));\n numberOfTurns = (long) (jsonObject.get(\"numberOfTurns\"));\n JSONObject initialData = (JSONObject) jsonObject.get(\"initialData\");\n JSONArray jsonConsumers = (JSONArray) initialData.get(\"consumers\");\n JSONArray jsonDistributors = (JSONArray) initialData.get(\"distributors\");\n JSONArray jsonProducers = (JSONArray) initialData.get(\"producers\");\n\n if (jsonConsumers != null) {\n ConsumerFactory consumerFactory = ConsumerFactory.getInstance();\n for (Object jsonConsumer : jsonConsumers) {\n consumers.add(consumerFactory.createConsumer(\n (long) ((JSONObject) jsonConsumer).get(\"id\"),\n (long) ((JSONObject) jsonConsumer).get(\"initialBudget\"),\n (long) ((JSONObject) jsonConsumer).get(\"monthlyIncome\")));\n }\n }\n\n if (jsonDistributors != null) {\n DistributorFactory distributorFactory = DistributorFactory.getInstance();\n for (Object jsonDistributor : jsonDistributors) {\n distributors.add(distributorFactory.createDistributor(\n (long) ((JSONObject) jsonDistributor).get(\"id\"),\n (long) ((JSONObject) jsonDistributor).get(\"contractLength\"),\n (long) ((JSONObject) jsonDistributor).get(\"initialBudget\"),\n (long) ((JSONObject) jsonDistributor).get(\"initialInfrastructureCost\"),\n (long) ((JSONObject) jsonDistributor).get(\"energyNeededKW\"),\n EnergyChoiceStrategyType.valueOf(((JSONObject) jsonDistributor).\n get(\"producerStrategy\").toString())));\n }\n }\n\n if (jsonProducers != null) {\n for (Object jsonProducer : jsonProducers) {\n producers.add(new Producer(((long) ((JSONObject) jsonProducer).get(\"id\")),\n EnergyType.valueOf(((JSONObject) jsonProducer).\n get(\"energyType\").toString()),\n (long) ((JSONObject) jsonProducer).get(\"maxDistributors\"),\n (double) ((JSONObject) jsonProducer).get(\"priceKW\"),\n (long) ((JSONObject) jsonProducer).get(\"energyPerDistributor\")));\n }\n }\n\n JSONArray jsonUpdates = (JSONArray) jsonObject.get(\"monthlyUpdates\");\n\n for (JSONObject monthlyUpdate : (Iterable<JSONObject>) jsonUpdates) {\n MonthlyUpdates update = new MonthlyUpdates();\n JSONArray newConsumers = (JSONArray) monthlyUpdate.get(\"newConsumers\");\n for (JSONObject newConsumer : (Iterable<JSONObject>) newConsumers) {\n update.getNewConsumers().add(new Consumer(Long.parseLong(newConsumer.get(\"id\").\n toString()),\n Long.parseLong(newConsumer.get(\"initialBudget\").toString()),\n Long.parseLong(newConsumer.get(\"monthlyIncome\").toString())));\n }\n org.json.simple.JSONArray costsChanges = (JSONArray) monthlyUpdate.\n get(\"distributorChanges\");\n for (JSONObject costsChange : (Iterable<JSONObject>) costsChanges) {\n update.getCostsChanges().add(new CostsChanges(Long.parseLong(costsChange.\n get(\"id\").toString()),\n Long.parseLong(costsChange.get(\"infrastructureCost\").toString())));\n }\n monthlyUpdates.add(update);\n }\n return new Input(numberOfTurns, consumers, distributors, producers, monthlyUpdates);\n\n } catch (ParseException \| IOException e) {\n e.printStackTrace();\n }\n\n return new Input(0, consumers, distributors, producers, monthlyUpdates);\n\n }", "@Override\n\tpublic void prepare(PluginConfig readerConfig) {\n\t\thost = readerConfig.getString(BinaryReaderProperties.HOST);\n\t\tport = readerConfig.getInt(BinaryReaderProperties.PORT, 21);\n\t\tminPort = readerConfig.getInt(BinaryReaderProperties.MINPORT, 8011);\n\t\tmaxPort = readerConfig.getInt(BinaryReaderProperties.MAXPORT, 8050);\n\t\tuserName = readerConfig.getString(BinaryReaderProperties.USER);\n\t\tpassword = readerConfig.getString(BinaryReaderProperties.PASSWORD);\n\t\tdir = readerConfig.getString(BinaryReaderProperties.DIR);\n\t\tif (StringUtils.isNotEmpty(dir)) {\n\t\t\tif (!dir.endsWith(\"/\") && !dir.endsWith(\"\\\\\")) {\n\t\t\t\tdir = dir + \"/\";\n\t\t\t}\n\t\t}\n\t\tremoveFile = readerConfig.getBoolean(BinaryReaderProperties.REMOVE_FILE, false);\n\t\thdfsUri = readerConfig.getString(BinaryReaderProperties.HDFS_URI);\n\t\thdfsPath = readerConfig.getString(BinaryReaderProperties.HDFS_DIR);\n\t\thdfsUser = readerConfig.getString(BinaryReaderProperties.HDFS_USER);\n\t}", "private File processMultipartForm() {\n\n File storeDirectory = Configuration\n .getParameterValueAsFile(PENDING_DIR);\n\n int fileSizeLimit = Configuration\n .getParameterValueAsInt(METADATA_MAX_BYTES);\n\n DiskFileItemFactory factory = new DiskFileItemFactory();\n factory.setSizeThreshold(fileSizeLimit);\n\n RestletFileUpload upload = new RestletFileUpload(factory);\n\n List<FileItem> items;\n\n try {\n Request request = getRequest();\n items = upload.parseRequest(request);\n } catch (FileUploadException e) {\n throw new ResourceException(Status.CLIENT_ERROR_BAD_REQUEST, e\n .getMessage(), e);\n }\n\n for (FileItem fi : items) {\n if (fi.getName() != null) {\n String uuid = UUID.randomUUID().toString();\n File file = new File(storeDirectory, uuid);\n try {\n fi.write(file);\n return file;\n } catch (Exception consumed) {\n }\n }\n }\n\n throw new ResourceException(Status.CLIENT_ERROR_BAD_REQUEST,\n \"no valid file uploaded\");\n }", "public void prepareData() throws Exception {\n for (int i = 0; i < this.f4804b.length; i++) {\n try {\n byte[] readFile = FileUtil.readFile(this.f4804b[i]);\n addPart(new String[]{String.format(\"Content-Disposition: form-data; name=\\\"%s_%d\\\"; filename=\\\"%s_%d.jpg\\\"\", new Object[]{this.f4803a, Integer.valueOf(i), this.f4803a, Integer.valueOf(i)}), \"Content-Type: image/webp\", String.format(\"Content-Length: %d\", new Object[]{Integer.valueOf(readFile.length)})}, readFile);\n } catch (IOException e) {\n }\n }\n }", "public void run() {\n\t\tString line = null;\n\t\tMessage message;\n\t\tBufferQueueElement<Message> messageList = new BufferQueueElement<Message>();\n\t\tlong t1 = System.nanoTime();\n\t long t2 = 0;\n\t\ttry {\n\t\t\twhile ((line = messageIO.readMessage()) != null) {\n\t\t\t\tt2 = System.nanoTime();\n\t\t\t\t/ Ok, we can close the stream. But process the last message list. /\n\t\t\t\tif (CLOSE_STREAM.equals(line)) {\n\t\t\t\t\tmessageList.setStreamClosed(true);\n\t\t\t\t\tqueue.put(messageList);\n\t\t\t\t\tbreak;\n\t\t\t\t} else if((t2 - t1) < ONE_SECOND) {\n\t\t\t\t\tmessage = new Message(line);\n\t\t\t\t\tmessageList.setMessageElement(message);\n\t\t\t\t} else {\n\t\t\t\t\tqueue.put(messageList);\n\t\t\t\t\tmessageList = new BufferQueueElement<Message>();\n\t\t\t\t\tt1 = System.nanoTime();\n\t\t\t\t\tmessage = new Message(line);\n\t\t\t\t\tmessageList.setMessageElement(message);\n\t\t\t\t}\n\t\t\t}\n\t\t} catch (IOException e) {\n\t\t\tSystem.out.println(e.getMessage());\n\t\t} catch (InterruptedException e) {\n\t\t\tSystem.out.println(e.getMessage());\n\t\t}\n\t}", "@Override\n\t\t\tpublic void run() {\n\t\t\n\t\t\t\ttry{\n\t\t\t\t\n\t\t\t\t\tint staging_status = 1;\n\t\t\t\t\tboolean hasFailed = false;\n\t\t\t\t\t\n\t\t\t\t\tLong id;\n\t\t\t\t\t\n\t\t\t\t\t//Annoying Bug\n\t\t\t\t\tif(arg0.getParameter(\"app_inst_id\") instanceof String)\n\t\t\t\t\t\tid = Long.valueOf((String) arg0.getParameter(\"app_inst_id\"));\n\t\t\t\t\telse\n\t\t\t\t\t\tid = (Long) arg0.getParameter(\"app_inst_id\");\n\t\t\t\t\t\n\t\t\t\t\t//AppInstance inst = AHEEngine.getAppInstanceEntity(id);\n\t\t\t\t\tFileStaging[] in = AHEEngine.getFileStageInByAppInstId(id);\n\t\t\t\t\t\n\t\t\t\t\t//Update AppInstance Status\n\t\t\t\t\tAHEEngine.setCurrentAppInstanceState(id, AppInstanceStates.Data_Staging.toString(),\"Staging Data\");\n\t\t\t\t\t\n\t\t\t\t\t//Sort FileStaging into groups\n\t\t\t\t\tHashMap<String, ArrayList<FileStaging>> map = new HashMap<String, ArrayList<FileStaging>>();\n\t\t\t\t\t\n\t\t\t\t\tfor(int i=0; i < in.length; i++){\n\t\t\t\t\t\t\n\t\t\t\t\t\tURI uri = null;\n\t\t\t\t\t\t\n\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\turi = new URI(in[i].getTarget());\n\t\t\t\t\t\t} catch (URISyntaxException e) {\n\t\t\t\t\t\t\te.printStackTrace();\n//\t\t\t\t\t\t\tlogger.error(\"Data Staging failed\",e);\n//\t\t\t\t\t\t\tstaging_status = -1;\n//\t\t\t\t\t\t\thasFailed = true;\n\t\t\t\t\t\t\tfailed(id, arg0, \"Data Staging failed\", e);\n\t\t\t\t\t\t\treturn;\n\t\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\t\tResource res = ResourceRegisterAPI.getResourceByBestMatch(uri);\n\t\t\t\t\t\t\n\t\t\t\t\t\tif(map.containsKey(res.getResource_interface())){\n\t\t\t\t\t\t\tmap.get(res.getResource_interface()).add(in[i]);\n\t\t\t\t\t\t\tcontinue;\n\t\t\t\t\t\t}else{\n\t\t\t\t\t\t\tArrayList<FileStaging> array = new ArrayList<FileStaging>();\n\t\t\t\t\t\t\tarray.add(in[i]);\n\t\t\t\t\t\t\tmap.put(res.getResource_interface(), array);\n\t\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\t}\n\t\t\n\t\t\t\t\tString[] keyset = map.keySet().toArray(new String[map.size()]);\n\t\t\t\t\t\n\t\t\t\t\tString err = \"\";\n\t\t\t\t\t\n\t\t\t\t\tfor(int i=0; i < keyset.length; i++){\n\t\t\t\t\t\n\t\t\t\t\n\t\t\t\t\t\tArrayList<FileStaging> temp = map.get(keyset[i]);\n\t\t\t\t\t\t\n\t\t\t\t\t\ttry{\n\t\t\t\t\t\t\n\t\t\t\t\t\t\tAHEMessage msg = TransferHandler.transfer(temp.toArray(new FileStaging[temp.size()]));\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tif(AHEMessageUtility.hasException(msg)){\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tString er1 = \"\";\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tif(msg.getException() != null){\n\t\t\t\t\t\t\t\t\ter1 = msg.getException()[0];\n\t\t\t\t\t\t\t\t}\n//\t\t\t\t\t\t\t\tstaging_status = -1;\n//\t\t\t\t\t\t\t\thasFailed = true;\n//\t\t\t\t\t\t\t\tlogger.error(\"Data Staging failed. Transfer Module has returned an exception msg : \" + er1);\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\tfailed(id, arg0, \"Data Staging failed. Transfer Module has returned an exception msg : \" + er1,null);\n\t\t\t\t\t\t\t\treturn;\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t}\n//\t\t\t\t\t\t\telse{\n//\t\t\t\t\t\t\t\t\n//\t\t\t\t\t\t\t\tif(msg.getInformation().length > 0){\n//\t\t\t\t\t\t\t\t\t\n//\t\t\t\t\t\t\t\t\t//Update FileStaging with uid\n//\t\t\t\t\t\t\t\t\tfor(int j=0; j < temp.size(); j++){\n//\t\t\t\t\t\t\t\t\t\t\n//\t\t\t\t\t\t\t\t\t\ttemp.get(j).setIdentifier(msg.getInformation()[0]);\n//\t\t\t\t\t\t\t\t\t\tHibernateUtil.SaveOrUpdate(temp.get(j));\n//\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\n//\t\t\t\t\t\t\t\t\t}\n//\t\t\t\t\t\t\t\t\t\n//\t\t\t\t\t\t\t\t}\n//\t\t\t\t\t\t\t\t\n//\t\t\t\t\t\t\t}\n\t\t\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t\t}catch(Exception e){\n//\t\t\t\t\t\t\tlogger.error(\"Data Staging failed\",e);\n//\t\t\t\t\t\t\tstaging_status = -1;\n//\t\t\t\t\t\t\thasFailed = true;\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tfailed(id, arg0, \"Data Staging failed\",e);\n\t\t\t\t\t\t\treturn;\n\t\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\n\t\t\t\t\t}\t\n\t\t\t\t\t\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\tif(hasFailed) {\n\t\t\t\t\t\tAHEEngine.setCurrentAppInstanceState(id, AppInstanceStates.Error_DataStaging.toString(),\"Data Staging Information Error : \" + err);\n\t\t\t\t\t} else {\n\t\t\t\t\t\tAHEEngine.setCurrentAppInstanceState(id, AppInstanceStates.Workflow_Running.toString(),\"Data Staging Information Submitted\");\n\t\t\t\t\t}\n\t\t\t\t\t\n\t\t\t\t\tMap<String, Object> result = new HashMap<String, Object>();\n\t\t\t\t\t\n\t\t\t\t\tif(hasFailed){\n\t\t\t\t\t\tstaging_status = -1;\n\t\t\t\t\t\tresult.put(notification_code, \"Data Staging failed for AppInst : \" + id);\n\t\t\t\t\t}\n\t\t\t\t\tresult.put(staging_status_code, staging_status);\n\t\t\n\t\t\t\t\tAHERuntime.getAHERuntime().getAhe_engine().getWorkflowHandler().getStatefulKnowledgeSession().getWorkItemManager().completeWorkItem(arg0.getId(), result);\n\t\t\t\t\t\n\t\t\t\t\t//arg1.completeWorkItem(arg0.getId(), result);\n\t\t\n\t\t\t\t\treturn;\n\t\t\t\t\t\n\t\t\n\t\t\t\t\t\n\t\t\t\t}catch(AHEException e){\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t\tfailed(arg0, e.getMessage());\n\t\t\t\t}\n\n\t\t\t}", "public static void acceptConfig() {\r\n\t\t//Here, it tries to read over the config file using try-catch in case of Exception\r\n\t\ttry {\r\n\t\t\tProperties properties = new Properties();\r\n\t\t\tFileInputStream fis = new FileInputStream(new File(\"config.properties\"));\r\n\t\t\tproperties.load(fis);\r\n\t\t\tString storage = properties.getProperty(\"storage\");\r\n\t\t\tif(storage == null) \r\n\t\t\t\tthrow new IllegalArgumentException(\"Property 'storage' not found\");\r\n\t\t\tif(storage.equals(\"tree\"))\r\n\t\t\t\tdata = new BinarySearchTree();\r\n\t\t\tif(storage.equals(\"trie\"))\r\n\t\t\t\tdata = new Trie();\r\n\t\t\tif(data == null) \r\n\t\t\t\tthrow new IllegalArgumentException(\"Not valid storage configuration.\");\r\n\t\t}\r\n\t\t//If an Exception occurs, it just prints a message\r\n\t\tcatch (FileNotFoundException e) {\r\n\t\t\tSystem.out.println(\"Configuration file not found.\");\r\n\t\t\tSystem.exit(1);\r\n\t\t} catch (IllegalArgumentException e) {\r\n\t\t\tSystem.out.println(e.getMessage());\r\n\t\t\tSystem.exit(1);\r\n\t\t} catch (IOException e) {\r\n\t\t\tSystem.out.println(\"Error reading the configuration file.\");\r\n\t\t\tSystem.exit(1);\r\n\t\t}\r\n\t}", "private void parseExternalResources() {\n // Ensure that this is called only once.\n if (externalGroupsMap != null && externalGroupsMap.size() > 0) {\n log().info(\"parseExternalResources: external data collection groups are already parsed\");\n return;\n }\n \n // Check configuration files repository\n File folder = new File(configDirectory);\n if (!folder.exists() \|\| !folder.isDirectory()) {\n log().info(\"parseExternalResources: directory \" + folder + \" does not exist or is not a folder.\");\n return;\n }\n \n // Get external configuration files\n File[] listOfFiles = folder.listFiles(new FilenameFilter() {\n public boolean accept(File file, String name) {\n return name.endsWith(\".xml\");\n }\n });\n \n // Parse configuration files (populate external groups map)\n final CountDownLatch latch = new CountDownLatch(listOfFiles.length);\n int i = 0;\n for (final File file : listOfFiles) {\n Thread thread = new Thread(\"DataCollectionConfigParser-Thread-\" + i++) {\n public void run() {\n try {\n log().debug(\"parseExternalResources: parsing \" + file);\n DatacollectionGroup group = JaxbUtils.unmarshal(DatacollectionGroup.class, new FileSystemResource(file));\n // Synchronize around the map that holds the results\n synchronized(externalGroupsMap) {\n externalGroupsMap.put(group.getName(), group);\n }\n } catch (Throwable e) {\n throwException(\"Can't parse XML file \" + file + \"; nested exception: \" + e.getMessage(), e);\n } finally {\n latch.countDown();\n }\n }\n };\n thread.start();\n }\n\n try {\n latch.await();\n } catch (InterruptedException e) {\n throwException(\"Exception while waiting for XML parsing threads to complete: \" + e.getMessage(), e);\n }\n }", "public static void readSQLFile(){\n\n logger.setLevel(Level.ALL);\n\n // Define Appender\n myAppender = new ConsoleAppender(new SimpleLayout());\n\n logger.addAppender(myAppender);\n\n FileInputStream fs = null;\n try{\n fs= new FileInputStream(FILENAME);\n //We should read the data as a byte sequence and not as strings because the JSON object may contain\n //some characters that are escaped e.g. \\\" will be converted automatically to \" when it is insreted\n //and the JSON cannot be restored if it is read again form the database\n\n String oaiid = \"\", uri = \"\", json = \"\";\n //Use ArrayList of bytes as we don't know the length of each field\n ArrayList<Byte> arrBytes = new ArrayList<Byte>();\n byte b;\n //Read byte by byte from the stream and place it in an ArrayList and then convert it into byte array\n while((b = (byte)fs.read()) != -1){\n try{\n\n char ch = (char)b;\n if(ch == '\\n'){\n if(oaiid.equals(\"\")){\n oaiid = new String(convertToByteArray(arrBytes));\n }\n else if(uri.equals(\"\")){\n uri = new String(convertToByteArray(arrBytes));\n }\n else{\n json = new String(convertToByteArray(arrBytes));\n\n JDBC jdbc = JDBC.getDefaultConnection();\n String sqlStmt = \"INSERT INTO \" + TABLENAME + \"(\" + FIELD_OAIID + \", \" +\n FIELD_RESOURCE + \" , \" + FIELD_JSON_BLOB + \" ) VALUES ( ?, ? , ? ) \";\n\n PreparedStatement stmt = jdbc.prepare(sqlStmt,\"\");\n jdbc.executeStatement(stmt, new String[]{oaiid, uri, json});\n logger.info(\"Record for page # \" + oaiid + \", and resource = \" + uri +\n \" has been successfully inserted into database\");\n oaiid = uri = json = \"\";\n }\n arrBytes = new ArrayList<Byte>();\n\n }\n else\n arrBytes.add(b);\n\n }\n catch(Exception exp){\n logger.info(\"Record for page # \" + oaiid + \" cannot be inserted into database\");\n oaiid = uri = json = \"\";\n }\n\n }\n fs.close();\n }\n catch(Exception exp){\n logger.error(\"SQL file cannot be read due to \" + exp.getMessage());\n }\n }", "public void getPublishVideoData(String uid,File videoFile,File coverFile,String videoDesc,String latitude,String longitude){\n\n ApiService myQusetUtils = new HttpUtils.Builder()\n .addCallAdapterFactory()\n .addConverterFactory()\n .build()\n .getMyQusetUtils();\n /\n uid\n videoFile\n coverFile\n videoDesc\n latitude\n longitude\n\n /\n MultipartBody.Builder build = new MultipartBody.Builder().setType(MultipartBody.FORM);\n build.addFormDataPart(\"uid\",uid);\n build.addFormDataPart(\"videoDesc\",videoDesc);\n build.addFormDataPart(\"latitude\",latitude);\n build.addFormDataPart(\"longitude\",longitude);\n RequestBody requestFile = RequestBody.create(MediaType.parse(\"multipart/form-data\"), videoFile);\n build.addFormDataPart(\"videoFile\", videoFile.getName(), requestFile);\n RequestBody re = RequestBody.create(MediaType.parse(\"multipart/form-data\"), coverFile);\n build.addFormDataPart(\"coverFile\", coverFile.getName(),re);\n List<MultipartBody.Part> parts = build.build().parts();\n myQusetUtils.getPublishVideo(parts)\n .subscribeOn(Schedulers.io())\n .observeOn(AndroidSchedulers.mainThread())\n .subscribe(new Observer<PublishVideo>() {\n @Override\n public void onSubscribe(Disposable d) {\n\n }\n\n @Override\n public void onNext(PublishVideo publishVideo) {\n\n if(publishVideo.code.equals(\"0\")){\n getPublishVideoMessage.getPublishVideoSuccess(publishVideo);\n }else {\n getPublishVideoMessage.getPublishVideoFailure(publishVideo.msg);\n }\n }\n\n @Override\n public void onError(Throwable e) {\n\n }\n\n @Override\n public void onComplete() {\n\n }\n });\n }", "@Override\n public void prepare() {\n //Caching as file resource.\n File file = this.getResource().file;\n logger.info(\"Preparing {} streams for file: {}\", this.getTransferType(), file.getName());\n\n if (this.getTransferType() == ResourceTransferType.OUTBOUND) {\n //Sending\n try {\n buffer = new byte[BUFFER_SIZE];\n sent = 0;\n inputChannel = new FileInputStream(file).getChannel();\n inputBuffer = inputChannel.map(FileChannel.MapMode.READ_ONLY, 0, inputChannel.size());\n } catch (FileNotFoundException e) { //File doesn't exist.\n //Calling a transfer error.\n callError(e);\n } catch (IOException e) {\n e.printStackTrace();\n }\n } else {\n //Receiving\n //Checking if file already exists.\n written = 0;\n saved = 0;\n if (getResource().isLocal()) {\n getResource().calcNetworkId();\n if (getResource().getNetworkID().equals(getTunnel().getDestination())) {\n //The file is already stored locally.\n getTunnel().sendMessage(new ResourceTransferControlMessage(this.getTransferId(), -2));\n this.close();\n return;\n }\n }\n\n //Creating or replacing the file.\n buffer = new byte[BUFFER_SIZE 16];\n if (file.exists()) {\n file.delete();\n }\n try { //Creating new file.\n file.createNewFile();\n outputStream = new FileOutputStream(file);\n } catch (IOException e) {\n //Calling a transfer error.\n callError(e);\n return;\n }\n\n //Requesting the first chunk.\n getTunnel().sendMessage(new ResourceTransferControlMessage(this.getTransferId(), 0));\n }\n }", "private void receive() {\n\t\tMQGetMessageOptions gmo = new MQGetMessageOptions();\n\t\tif (keepMessages) {\n\t\t\tgmo.options = gmo.options \| MQConstants.MQGMO_CONVERT \| MQConstants.MQGMO_PROPERTIES_FORCE_MQRFH2\n\t\t\t\t\t\| MQConstants.MQGMO_BROWSE_FIRST;\n\t\t} else {\n\t\t\tgmo.options = gmo.options \| MQConstants.MQGMO_CONVERT \| MQConstants.MQGMO_PROPERTIES_FORCE_MQRFH2;\n\t\t\tif (syncPoint) {\n\t\t\t\tgmo.options = gmo.options \| MQConstants.MQGMO_SYNCPOINT;\n\t\t\t}\n\t\t}\n\t\tgmo.matchOptions = MQConstants.MQMO_NONE;\n\t\tgmo.waitInterval = this.waitInterval;\n\n\t\ttry {\n\t\t\tint lastSeqNo = 0;\n\t\t\tlong lastTs = 0;\n\t\t\tint messagecounter = 0;\n\t\t\twhile (true) {\n\t\t\t\tif (!(qmgr.isConnected())) {\n\t\t\t\t\treconnectMq();\n\t\t\t\t}\n\t\t\t\tif (!(queue.isOpen())) {\n\t\t\t\t\treconnectMq();\n\t\t\t\t}\n\t\t\t\thaltFileExists();\n\t\t\t\tif (haltStatus) {\n\t\t\t\t\treadQueue = false;\n\t\t\t\t} else {\n\t\t\t\t\treadQueue = true;\n\t\t\t\t}\n\t\t\t\tint queueNotInhibited = queue.getInhibitGet();\n\t\t\t\tif (queueNotInhibited == MQConstants.MQQA_GET_INHIBITED) {\n\t\t\t\t\treadQueue = false;\n\t\t\t\t}\n\t\t\t\tproduceCounts();\n\t\t\t\tif (readQueue) {\n\t\t\t\t\tqueueDepth = queue.getCurrentDepth();\n\t\t\t\t\tif (queueDepth != 0) {\n\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\trcvMessage = new MQMessage();\n\t\t\t\t\t\t\tif (mqccsid != 0) {\n\t\t\t\t\t\t\t\trcvMessage.characterSet = mqccsid;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tqueue.get(rcvMessage, gmo);\n\t\t\t\t\t\t\trecordCountsRcvd++;\n\t\t\t\t\t\t\tstrLen = rcvMessage.getMessageLength();\n\t\t\t\t\t\t\tstrData = new byte[strLen];\n\t\t\t\t\t\t\trcvMessage.readFully(strData);\n\t\t\t\t\t\t\tmessagePutMs = rcvMessage.putDateTime.getTimeInMillis();\n\t\t\t\t\t\t\tseqNo = rcvMessage.messageSequenceNumber;\n\t\t\t\t\t\t\tif (lastTs == messagePutMs && seqNo == 1) {\n\t\t\t\t\t\t\t\tseqNo = lastSeqNo + seqNo;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tmsgText = new String(strData);\n\t\t\t\t\t\t\tjsonOut = new JSONArray();\n\t\t\t\t\t\t\tjsonKey = new JSONObject();\n\t\t\t\t\t\t\tjsonValue = new JSONObject();\n\t\t\t\t\t\t\tjsonKey.put(\"key\", Long.toString(messagePutMs) + \"_\" + seqNo);\n\t\t\t\t\t\t\tjsonValue.put(\"value\", msgText);\n\t\t\t\t\t\t\tLOG.debug(\"MQ MsgKey: \" + Long.toString(messagePutMs) + \"_\" + seqNo);\n\t\t\t\t\t\t\tLOG.debug(\"MQ MsgValue: \" + msgText);\n\t\t\t\t\t\t\tjsonOut.put(jsonKey);\n\t\t\t\t\t\t\tjsonOut.put(jsonValue);\n\t\t\t\t\t\t\tmsgList.add(jsonOut.toString());\n\t\t\t\t\t\t\tlastTs = messagePutMs;\n\t\t\t\t\t\t\tlastSeqNo = seqNo;\n\t\t\t\t\t\t\tmessagecounter++;\n\t\t\t\t\t\t\t// move cursor to next message\n\t\t\t\t\t\t\tif (msgList.size() > maxUMsg / 2) {\n\t\t\t\t\t\t\t\tcommitMessages();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif (msgList.size() > queueDepth) {\n\t\t\t\t\t\t\t\tcommitMessages();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif (keepMessages) {\n\t\t\t\t\t\t\t\tgmo.options = MQConstants.MQGMO_CONVERT \| MQConstants.MQGMO_PROPERTIES_FORCE_MQRFH2\n\t\t\t\t\t\t\t\t\t\t\| MQConstants.MQGMO_WAIT \| MQConstants.MQGMO_BROWSE_NEXT;\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tgmo.options = MQConstants.MQGMO_CONVERT \| MQConstants.MQGMO_PROPERTIES_FORCE_MQRFH2\n\t\t\t\t\t\t\t\t\t\t\| MQConstants.MQGMO_WAIT;\n\t\t\t\t\t\t\t\tif (syncPoint) {\n\t\t\t\t\t\t\t\t\tgmo.options = gmo.options \| MQConstants.MQGMO_SYNCPOINT;\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t} catch (MQException e) {\n\t\t\t\t\t\t\tif (e.reasonCode == MQConstants.MQRC_NO_MSG_AVAILABLE) {\n\t\t\t\t\t\t\t\tif (msgList.size() > 0) {\n\t\t\t\t\t\t\t\t\tcommitMessages();\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tnoMessagesCounter++;\n\t\t\t\t\t\t\t\tthreadWait();\n\t\t\t\t\t\t\t} else if (e.reasonCode == MQConstants.MQRC_SYNCPOINT_LIMIT_REACHED) {\n\t\t\t\t\t\t\t\tif (msgList.size() > 0) {\n\t\t\t\t\t\t\t\t\tcommitMessages();\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\tnoMessagesCounter++;\n\t\t\t\t\t\t\t\tthreadWait();\n\t\t\t\t\t\t\t} else {\n\t\t\t\t\t\t\t\tSystem.out.println(\n\t\t\t\t\t\t\t\t\t\tCalendar.getInstance().getTime() + \" - MQ Reason Code: \" + e.reasonCode);\n\t\t\t\t\t\t\t\treconnectMq();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t} catch (IOException ioe) {\n\t\t\t\t\t\t\tSystem.out.println(Calendar.getInstance().getTime() + \" - Error: \" + ioe.getMessage());\n\t\t\t\t\t\t\treconnectMq();\n\t\t\t\t\t\t}\n\t\t\t\t\t} else {\n\t\t\t\t\t\tif (msgList.size() > 0) {\n\t\t\t\t\t\t\tcommitMessages();\n\t\t\t\t\t\t}\n\t\t\t\t\t\tthreadWait();\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tif (msgList.size() > 0) {\n\t\t\t\t\t\tcommitMessages();\n\t\t\t\t\t}\n\t\t\t\t\tthreadWait();\n\t\t\t\t}\n\t\t\t}\n\n\t\t} catch (Throwable t) {\n\t\t\t// restart if there is any other error\n\t\t\trestart(Calendar.getInstance().getTime() + \" - Error receiving data from Queue or QMGR\", t);\n\t\t}\n\n\t}", "@Override\n public void onTaskSubmit() {\n TaskInput taskInput = new TaskInput();\n taskInput.setTaskId(mTaskId);\n taskInput.setRatings(ratings);\n\n Callback<TaskInputResponse> taskInputCallback = new Callback<TaskInputResponse>() {\n @Override\n public void success(TaskInputResponse taskInputResponse, Response response) {\n ((GameActivity)mCtx).hideProgress();\n ((GameActivity) mCtx).finish();\n }\n\n @Override\n public void failure(RetrofitError error) {\n ((GameActivity)mCtx).hideProgress();\n ((GameActivity) mCtx).finish();\n }\n };\n\n // The multipart content that will be sent to server when the task is submitted\n MultipartTypedOutput attachments = new MultipartTypedOutput();\n\n // Populate a TypedFile list with all the recordings made during the current task\n ArrayList<TypedFile> typedFiles = new ArrayList<>();\n for(TaskInputAnswer answer : answers) {\n ArrayList<String> fileNames = answer.getFileNames();\n for(String fileName : fileNames) {\n typedFiles.add(new TypedFile(\"multipart/form-data\", new File(fileName)));\n }\n }\n\n // Get rid of the absolute path and keep only the file name for the recorded files list that\n //will be stored in the json\n for(int i = 0; i < answers.size(); ++i) {\n ArrayList<String> newFileNames = new ArrayList<>();\n for(int j = 0; j < answers.get(i).getFileNames().size(); ++j) {\n File file = new File(answers.get(i).getFileNames().get(j));\n newFileNames.add(file.getName());\n }\n answers.get(i).setFileNames(newFileNames);\n }\n taskInput.setAnswers(answers);\n\n // Convert TaskInput into JSON using Gson library\n Gson gson = new Gson();\n String taskInputJson = gson.toJson(taskInput);\n TypedString inputs = new TypedString(taskInputJson);\n\n // Add the json to the multipart objects as text/plain using the key \"Inputs\"\n attachments.addPart(\"Inputs\", inputs);\n\n // Add each file to the multipart object using the key \"file\"\n for(TypedFile typedFile : typedFiles) {\n attachments.addPart(\"file\", typedFile);\n }\n\n ((GameActivity)mCtx).showProgress();\n // Execute the POST request\n ((GameApi) SpeechApp.getApiOfType(ApiTypes.GAME_API)).taskInput(attachments, taskInputCallback);\n }", "public void uploadMultipart(String path, final String name) {\n //getting name for the image\n // String name = editText.getText().toString().trim();\n\n //getting the actual path of the image\n // String path = getPath(filePath);\n\n //Uploading code\n try {\n String uploadId = UUID.randomUUID().toString();\n\n //Creating a multi part request\n new MultipartUploadRequest(this, uploadId, UPLOAD_URL)\n .addFileToUpload(path, \"image\") //Adding file\n .addParameter(\"name\", name) //Adding text parameter to the request\n .addParameter(\"alert\", mAlertId) //Adding text parameter to the request\n .addParameter(\"device\",\n android.os.Build.MODEL) //Adding text parameter to the request\n .addParameter(\"title\", currentCaptureDirectory.getName())\n .setNotificationConfig(new UploadNotificationConfig()).setMaxRetries(2)\n .setDelegate(new UploadStatusDelegate() {\n @Override\n public void onProgress(Context context, UploadInfo uploadInfo) {\n // your code here\n }\n\n @Override\n public void onError(Context context, UploadInfo uploadInfo,\n Exception exception) {\n // your code here\n }\n\n @Override\n public void onCompleted(Context context, UploadInfo uploadInfo,\n ServerResponse serverResponse) {\n Log.i(\" _ \", \" \");\n Log.d(TAG, \"JSON RESPONSE::: \" + serverResponse.toString());\n Log.d(TAG, \"JSON RESPONSE::: \" + serverResponse.getBodyAsString());\n Log.i(\" _ \", \" \");\n\n File photo = new File(currentCaptureDirectory, name);\n if (photo.exists()) photo.delete();\n\n if (mSendEmail) {\n mSendEmail = false;\n mEmailResetHandler.removeCallbacks(emailResetRunnable);\n mEmailResetHandler.postDelayed(emailResetRunnable, 1000 * 600);\n String link = mServerUrl + \"sendEmail.php?device=\" + mDeviceName +\n \"&name=\" + name + \"&title=\" +\n currentCaptureDirectory.getName();\n new updateData().execute(link);\n\n String link2 = mServerUrl + \"init.php?device=\" + mDeviceName;\n new updateData().execute(link2);\n\n mHandler.postDelayed(runnable, 6000);\n }\n\n // your code here\n // if you have mapped your server response to a POJO, you can easily get it:\n // YourClass obj = new Gson().fromJson(serverResponse.getBodyAsString(), YourClass.class);\n // File photo = new File(Environment.getExternalStorageDirectory(), name + \".jpg\");\n // if (photo.exists()) photo.delete();\n }\n\n @Override\n public void onCancelled(Context context, UploadInfo uploadInfo) {\n // your code here\n }\n }).startUpload(); //Starting the upload\n\n } catch (Exception exc) {\n Log.i(TAG, exc.getMessage());\n }\n }", "public void loadConfigurationFromDisk() {\r\n try {\r\n FileReader fr = new FileReader(CONFIG_FILE);\r\n BufferedReader rd = new BufferedReader(fr);\r\n\r\n String line;\r\n while ((line = rd.readLine()) != null) {\r\n if (line.startsWith(\"#\")) continue;\r\n if (line.equalsIgnoreCase(\"\")) continue;\r\n\r\n StringTokenizer str = new StringTokenizer(line, \"=\");\r\n if (str.countTokens() > 1) {\r\n String aux;\r\n switch (str.nextToken().trim()) {\r\n case \"system.voidchain.protocol_version\":\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.protocolVersion = aux;\r\n continue;\r\n case \"system.voidchain.transaction.max_size\":\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.transactionMaxSize = Integer.parseInt(aux);\r\n continue;\r\n case \"system.voidchain.block.num_transaction\":\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.numTransactionsInBlock = Integer.parseInt(aux);\r\n continue;\r\n case \"system.voidchain.storage.data_file_extension\":\r\n if (firstRun) {\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.dataFileExtension = aux;\r\n }\r\n continue;\r\n case \"system.voidchain.storage.block_file_base_name\":\r\n if (firstRun) {\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.blockFileBaseName = aux;\r\n }\r\n continue;\r\n case \"system.voidchain.storage.wallet_file_base_name\":\r\n if (firstRun) {\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.walletFileBaseName = aux;\r\n }\r\n continue;\r\n case \"system.voidchain.storage.data_directory\":\r\n if (firstRun) {\r\n aux = str.nextToken().trim();\r\n if (aux != null) {\r\n aux = aux.replace('/', File.separatorChar);\r\n if (!aux.endsWith(File.separator))\r\n //aux = aux.substring(0, aux.length() - 1);\r\n aux = aux.concat(File.separator);\r\n this.dataDirectory = aux;\r\n }\r\n }\r\n continue;\r\n case \"system.voidchain.storage.block_file_directory\":\r\n if (firstRun) {\r\n aux = str.nextToken().trim();\r\n if (aux != null) {\r\n aux = aux.replace('/', File.separatorChar);\r\n if (!aux.endsWith(File.separator))\r\n //aux = aux.substring(0, aux.length() - 1);\r\n aux = aux.concat(File.separator);\r\n this.blockFileDirectory = aux;\r\n }\r\n }\r\n continue;\r\n case \"system.voidchain.storage.wallet_file_directory\":\r\n if (firstRun) {\r\n aux = str.nextToken().trim();\r\n if (aux != null) {\r\n aux = aux.replace('/', File.separatorChar);\r\n if (!aux.endsWith(File.separator))\r\n //aux = aux.substring(0, aux.length() - 1);\r\n aux = aux.concat(File.separator);\r\n this.walletFileDirectory = aux;\r\n }\r\n }\r\n continue;\r\n case \"system.voidchain.memory.block_megabytes\":\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.memoryUsedForBlocks = Integer.parseInt(aux);\r\n continue;\r\n case \"system.voidchain.sync.block_sync_port\":\r\n if (firstRun) {\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.blockSyncPort = Integer.parseInt(aux);\r\n }\r\n continue;\r\n case \"system.voidchain.crypto.ec_param\":\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.ecParam = aux;\r\n continue;\r\n case \"system.voidchain.core.block_proposal_timer\":\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.blockProposalTimer = Integer.parseInt(aux) * 1000;\r\n continue;\r\n case \"system.voidchain.blockchain.chain_valid_timer\":\r\n aux = str.nextToken().trim();\r\n if (aux != null)\r\n this.blockchainValidTimer = Integer.parseInt(aux) * 1000;\r\n continue;\r\n }\r\n }\r\n }\r\n\r\n fr.close();\r\n rd.close();\r\n\r\n if (this.firstRun)\r\n this.firstRun = false;\r\n } catch (IOException e) {\r\n logger.error(\"Could not load configuration\", e);\r\n }\r\n }", "@Override\n public void run ()\n {\n // Retrieve the iterator object of the linesInput\n Iterator <Line> linesIterator = linesInput.iterator () ;\n \n // Iterator through the iterator until all entries have been accounted for\n while ( linesIterator.hasNext () ) \n { \n // Grab the next entry in the iterator\n Line lineChange = linesIterator.next() ;\n \n /\n Make sure that the users know was is going on by printing that the producer is \n * doing something.\n /\n System.out.println ( \"Line Producer is Producing: \" + lineChange.content ) ;\n \n // Store the line into the messagingQueue\n Program.messagingQueue.putMessage ( lineChange ) ;\n \n // Once the iterator had finished with the entry remove it as it is no longer needed.\n linesIterator.remove () ;\n }\n \n // Add end of file message to the queue showing that we have finished producing the messages.\n Line endOfFileMessage = new Line ( \"END-OF-FILE\", -1 ) ;\n Program.messagingQueue.putMessage ( endOfFileMessage ) ;\n }", "@Override\r\n\t\t\t\t\tpublic void messageArrived(String topic, MqttMessage message) throws Exception {\n\t\t\t\t\t\t try { \r\n//\t\t\t\t\t\t\t SimpleDateFormat sdf = new SimpleDateFormat(\"yyyy-MM-dd HH:mm:ss\"); \r\n//\t\t\t\t\t\t\t String date = sdf.format(new Date());\r\n\t\t\t\t\t System.out.println(\" From:\"+message.toString()); \r\n\t\t\t\t\t \r\n\t\t\t\t\t Connection conn = null;\r\n\t\t\t\t\t Class.forName(\"com.mysql.jdbc.Driver\"); \r\n\t\t\t\t\t conn = DriverManager.getConnection(\r\n\t\t\t\t\t \t\t\"jdbc:mysql://localhost:3306/mqtt?useUnicode=true&characterEncoding=UTF-8\",\r\n\t\t\t\t\t \t\t\"root\",\r\n\t\t\t\t\t \t\t\"tmu2012\");\r\n\t\t\t\t\t System.out.println(\"connected to the database\");\r\n\r\n\t\t\t\t\t Statement stmt = conn.createStatement();\r\n\t\t\t\t\t System.out.println(\"Inserting records\");\r\n\t\t\t\t\t \r\n\t\t\t\t\t String qry1 = \"INSERT INTO mymqtts (mqtt) VALUES('\"+message.toString()+\"')\";\r\n\t\t\t\t\t stmt.executeUpdate(qry1);\r\n\t\t\t\t\t System.out.println(\"ok\");\r\n\t\t\t\t\t\t }catch (Exception e) { \r\n\t\t\t\t\t e.printStackTrace(); \r\n\t\t\t\t\t System.out.println(\"error\"); \r\n\t\t\t\t\t } \r\n\t\t\t\t\t}", "private void initBroker() throws URISyntaxException, IOException {\n\n ClassLoader classloader = Thread.currentThread().getContextClassLoader();\n\n // InputStream is = classloader.getResourceAsStream(\"data/merchant.csv\");\n\n URL brokerURL = classloader.getResource(\"data/broker/\");\n String[] merchantFiles = new File(brokerURL.toURI()).list();\n\n int j = 0;\n while (j < merchantFiles.length) {\n InputStream is = classloader.getResourceAsStream(\"data/broker/\" + merchantFiles[j]);\n CSVReader reader = new CSVReader(new InputStreamReader(is, \"UTF-8\"));\n String[] nextLine;\n while ((nextLine = reader.readNext()) != null) {\n String tradeName = nextLine[FORENAME];\n if (StringUtils.isBlank(tradeName)) {\n continue;\n }\n brokerImportService.saveOrUpdateBroker(fillUpBrokerImportVO(nextLine));\n }\n j++;\n }\n\n }", "public void loadMedia() {\n MediaDBMapper mapper = new MediaDBMapper(ctx);\n\n String[] fileNames = {\n \"medved.jpg\",\n \"medved 2.jpg\",\n \"medved hnedy.jpg\",\n \"grizzly.jpg\",\n \"buk.jpg\",\n \"jedle.jpg\",\n \"jedle 2.jpg\"\n };\n\n File file = null;\n\n try {\n boolean autoCommit = getConnection().getAutoCommit();\n getConnection().setAutoCommit(false);\n\n try {\n\n for (String fileName : fileNames) {\n try {\n file = new File(\"resources\\\\\" + fileName);\n\n System.out.println(\"Opening: \" + file.getPath() + \".\");\n\n MediaEntity e = mapper.create();\n e.setName(file.getName().substring(0, file.getName().lastIndexOf('.')));\n\n mapper.loadImageFromFile(e, file.getPath());\n\n mapper.save(e);\n } catch (NullPointerException ex) {\n ex.printStackTrace();\n }\n\n// getConnection().commit();\n }\n\n } finally {\n getConnection().setAutoCommit(autoCommit);\n }\n } catch (SQLException ex) {\n ex.printStackTrace();\n// throw new RuntimeException(ex);\n }\n }", "public void run() {\n //Moved Observers NOV 15\n if (messagingSystem.speakerMessengerController != null) {\n this.addObserver(messagingSystem.speakerMessengerController); //would be created\n }\n if (messagingSystem.speakerMessengerController != null) {\n this.addObserver(messagingSystem.speakerMessengerController.userInfo);\n }\n CSVReader fileReader = new CSVReader(\"phase1/src/Resources/Talks.csv\");\n DateTimeFormatter formatter = DateTimeFormatter.ofPattern(\"yyyy-MM-dd HH:mm\");\n for(ArrayList<String> talkData: fileReader.getData()){\n this.talkManager.createTalk(talkData.get(0), talkData.get(1), talkData.get(2),\n talkData.get(3), LocalDateTime.parse(talkData.get(4), formatter));\n }\n setTalkManager();\n messagingSystem.run();\n scheduleSystem.run();\n createSignUpAttendees();\n if (this.user instanceof Attendee) {\n userScheduleController.setSignUpMap(signUpMap);\n }\n if (this.user instanceof Organizer) {\n orgScheduleController.setSignUpMap(signUpMap);\n }\n }", "@Before\n\tpublic void loadQueueSettings(){\n\t\textendedBeans = new ClassPathXmlApplicationContext(\"applicationContext-messaging-incoming.xml.optional\");\n\t\tIncomingCommandsListener listener = (IncomingCommandsListener) extendedBeans.getBean(\"incomingCommandsListener\");\n\t\tlog.info(listener);\n\t}", "public void parseFile(String fileName) {\n LineIterator it = null;\n try {\n it = FileUtils.lineIterator(new File(fileName), \"UTF-8\");\n while (it.hasNext()) {\n String line = it.nextLine();\n Runnable task = () -> sendEventsToSaveInDb(line);\n executor.submit(task);\n }\n } catch (IOException e) {\n logger.error(\"error while reading file : \", e);\n System.exit(1);\n } finally {\n LineIterator.closeQuietly(it);\n executor.shutdown();\n try {\n executor.awaitTermination(Long.MAX_VALUE, TimeUnit.NANOSECONDS);\n saveEventsInBatch(true);\n } catch (InterruptedException e) {\n logger.error(\" exception while waiting for termination \", e);\n }\n System.exit(0);\n }\n }", "private void getData() {\r\n Properties config = new Properties();\r\n\tFileInputStream input = null;\r\n\ttry {\r\n input = new FileInputStream(\"src/signupsigninserver/config/connection.properties\");\r\n config.load(input);\r\n port=Integer.parseInt(config.getProperty(\"port\"));\r\n maxThreads=Integer.parseInt(config.getProperty(\"max_threads\"));\r\n \r\n } catch (FileNotFoundException ex) {\r\n LOGGER.info(\"No encuentra archivo\");\r\n } catch (IOException ex) {\r\n Logger.getLogger(ILogicImplementation.class.getName()).log(Level.SEVERE, null, ex);\r\n } finally {\r\n if (input != null)\r\n\t\ttry {\r\n input.close();\r\n } catch (IOException ex) {\r\n Logger.getLogger(ILogicImplementation.class.getName()).log(Level.SEVERE, null, ex);\r\n } \r\n\t}\r\n }", "@Override\n public void run() {\n HttpsURLConnection connPut = null;\n try {\n URL webServerUrl = new URL(DB_URL);\n\n connPut = (HttpsURLConnection) webServerUrl.openConnection();\n\n connPut.setReadTimeout(10000 / milliseconds /);\n connPut.setConnectTimeout(15000 / milliseconds /);\n connPut.setDoOutput(true);\n\n connPut.setRequestMethod(\"POST\");\n connPut.setRequestProperty(\"Content-type\", \"application/json\");\n AuthenticationValidator authenticationValidator = new AuthenticationValidator(context);\n String token = authenticationValidator.getAuthenticationToken();\n connPut.addRequestProperty(\"Authorization\", \"Bearer \" + token);\n connPut.connect();\n OutputStreamWriter out = new OutputStreamWriter(connPut.getOutputStream());\n\n\n\n\n for(RestRecord rr : toBePushed)\n {\n out.write(rr.getJSON().toString());\n out.flush();\n }\n out.close();\n\n if(connPut.getResponseCode() == 200)\n System.out.println(\"Successfully posted new route(s).\");\n else\n System.out.println(connPut.getResponseMessage());\n\n connPut.disconnect();\n\n } catch (IOException e) {\n e.printStackTrace();\n } finally {\n if(connPut!=null)\n connPut.disconnect();\n }\n }", "@Override\r\n\tpublic void configure() {\r\n\t\tsuper.configure();\r\n\t\t\r\n\t\tfinal CIAOConfig config = CamelApplication.getConfig(getContext());\r\n\r\n\t\t// Document input route\r\n\t\t// transforms the ParsedDocument json into a multi-part trunk request message\r\n\t\t// * Adds the trunk request message onto a JMS queue for later processing (by any running process)\r\n\t\tfrom(\"jms:queue:documents?destination.consumer.prefetchSize=0\")\r\n\t\t.errorHandler(new TransactionErrorHandlerBuilder()\r\n\t\t\t.asyncDelayedRedelivery()\r\n\t\t\t.maximumRedeliveries(2)\r\n\t\t\t.backOffMultiplier(2)\r\n\t\t\t.redeliveryDelay(2000)\r\n\t\t\t.log(LOGGER)\r\n\t\t\t.logExhausted(true)\r\n\t\t)\r\n\t\t.transacted(\"PROPAGATION_NOT_SUPPORTED\")\r\n\t\t.unmarshal().json(JsonLibrary.Jackson, ParsedDocument.class)\r\n\t\t.bean(new TrunkRequestPropertiesFactory(config), \"newTrunkRequestProperties\")\r\n\t\t.setHeader(\"SOAPAction\").simple(\"urn:nhs:names:services:itk/${body.interactionId}\")\r\n\t\t.setHeader(Exchange.CONTENT_TYPE).simple(\"multipart/related; boundary=\\\"${body.mimeBoundary}\\\"; type=\\\"text/xml\\\"; start=\\\"<${body.ebxmlContentId}>\\\"\")\r\n\t\t.setHeader(Exchange.CORRELATION_ID).simple(\"${body.ebxmlCorrelationId}\")\r\n\t\t.to(\"freemarker:uk/nhs/ciao/transport/spine/trunk/TrunkRequest.ftl\")\r\n\t\t.to(\"jms:queue:trunk-requests\");\r\n\t\t\r\n\t\t\r\n\t\t // Outgoing trunk message queue\r\n\t\t // * sends a multi-part trunk request message over the spine\r\n\t\t // * blocks until an async ebXml ack is received off a configured JMS topic or a timeout occurs\r\n\t\t // * marks message as success, retry or failure based on the ACK content\r\n\t\tfrom(\"jms:queue:trunk-requests?destination.consumer.prefetchSize=0\")\r\n\t\t.id(\"trunk-requests\")\r\n\t\t.errorHandler(new TransactionErrorHandlerBuilder()\r\n\t\t\t.asyncDelayedRedelivery()\r\n\t\t\t.maximumRedeliveries(2)\r\n\t\t\t.backOffMultiplier(2)\r\n\t\t\t.redeliveryDelay(2000)\r\n\t\t\t.log(LOGGER)\r\n\t\t\t.logExhausted(true)\r\n\t\t)\r\n\t\t.transacted(\"PROPAGATION_NOT_SUPPORTED\")\r\n\t\t\r\n\t\t.setHeader(Exchange.FILE_NAME, simple(\"${header.CamelCorrelationId}/message\"))\r\n\t\t.setHeader(Exchange.HTTP_METHOD, constant(org.apache.camel.component.http4.HttpMethods.POST))\r\n\t\t\r\n\t\t.to(\"file://./target/docs\")\t\t\t\t\r\n//\t\t.doTry()\r\n\t\t\t.to(\"spine:trunk\")\r\n\t\t\t.process(new EbxmlAcknowledgementProcessor())\r\n//\t\t.endDoTry()\r\n//\t\t.doCatch(HttpOperationFailedException.class)\r\n//\t\t\t.process(new HttpErrorHandler())\r\n\t\t;\r\n\t\t\r\n\t\t// Incoming ebXml ACK receiver route\r\n\t\t// * Receives ebXml acks (over HTTP)\r\n\t\t// * Extracts the related original message id (for correlation)\r\n\t\t// * Adds the ebXml ack to a JMS topic for later processing (by the process holding the associated transaction open)\r\n\t\tfinal Namespaces ns = new Namespaces(\"soap\", \"http://schemas.xmlsoap.org/soap/envelope/\");\r\n\t\tns.add(\"eb\", \"http://www.oasis-open.org/committees/ebxml-msg/schema/msg-header-2_0.xsd\");\r\n\t\t\r\n\t\tfrom(\"{{spine.fromUri}}\")\r\n\t\t\t.choice()\r\n\t\t\t\t.when(header(\"SOAPAction\").isEqualTo(\"urn:oasis:names:tc:ebxml-msg:service/Acknowledgment\"))\r\n\t\t\t\t\t.setHeader(\"JMSCorrelationID\",\r\n\t\t\t\t\t\tns.xpath(\"/soap:Envelope/soap:Header/eb:Acknowledgment/eb:RefToMessageId\", String.class))\r\n\t\t\t\t\t.setHeader(Exchange.CORRELATION_ID).simple(\"${header.JMSCorrelationID}\")\r\n\t\t\t\t\t.setExchangePattern(ExchangePattern.InOnly)\r\n\t\t\t\t\t.to(\"{{spine.replyUri}}\")\r\n\t\t\t\t\t.endChoice()\r\n\t\t\t\t.otherwise()\r\n\t\t\t\t\t.log(LoggingLevel.WARN, LOGGER, \"Unsupported SOAPAction receieved: ${header.SOAPAction}\");\t\t\r\n\t}", "private void configStorage(){\n try {\n final StorageReference storageReference = FirebaseStorage.getInstance()\n .getReference(\"motolost/\"+ String.valueOf(Math.random()) + getFileExtension(filePath));\n storageReference.putFile(filePath)\n .continueWithTask(new Continuation<UploadTask.TaskSnapshot, Task<Uri>>() {\n @Override\n public Task<Uri> then(@NonNull Task<UploadTask.TaskSnapshot> task) throws Exception {\n if (!task.isSuccessful()) {\n throw task.getException();\n }\n return storageReference.getDownloadUrl();\n }\n }).addOnCompleteListener(new OnCompleteListener<Uri>() {\n @Override\n public void onComplete(@NonNull Task<Uri> task) {\n if (task.isSuccessful()) {\n Uri downloadUri = task.getResult();\n saveRegistry(downloadUri.toString());\n }\n }\n });\n } catch (Exception ex) {\n Constant.showMessage(\"Exception\", ex.getMessage(), this);\n }\n }", "public chatter3(String serverPort, String config) throws Exception {\n\n \trecBuf = new ConcurrentLinkedQueue<String>();\n \t\n \tSi = 0;\n \t\n \tdeliverQueue = new HashMap<String, String>();\n \tseqNums = new HashMap<Integer, String>();\n \t\n \tchatter3.serverPort = Integer.parseInt(serverPort);\n\n\t\tchatter3.serverAddr = InetAddress.getLocalHost().getHostAddress();\n\n \tSystem.out.println(\"Server address: \"+ chatter3.serverAddr + \" port: \" + chatter3.serverPort);\n\n \tchatter3.IPs = new HashMap<Integer, String>();\n \tchatter3.Ports = new HashMap<Integer, Integer>();\n\n \ttry (BufferedReader br = new BufferedReader(new FileReader(config))) {\n\n \t\tString currLine = null;\t\t\n\n \t\tboolean isFirst = true;\n\n \t\twhile ((currLine = br.readLine()) != null) {\n\n\t\t\t\tif (isFirst) {\n\t\t\t\t\tint spaceLoc = currLine.indexOf(\" \");\n\t\t\t\t\tminDelay = Integer.parseInt(currLine.substring(0, spaceLoc));\n\t\t\t\t\tmaxDelay = Integer.parseInt(currLine.substring(spaceLoc + 1));\n\t\t\t\t\tisFirst = false;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tString[] tokens = currLine.split(\" \", 3);\n\t\t\t\t\tint id = Integer.parseInt(tokens[0]);\n\t\t\t\t\tString ip = tokens[1];\n\t\t\t\t\tint port = Integer.parseInt(tokens[2]);\n\n\t\t\t\t\tIPs.put(id, ip);\n\t\t\t\t\tPorts.put(id, port);\n\t\t\t\t\t\n\t\t\t\t\tif ((ip.equals(chatter3.serverAddr) \|\| ip.equals(\"localhost\") \|\| ip.equals(\"127.0.0.1\")) && port == chatter3.serverPort) {\n\t\t\t\t\t\tserverId = id;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n \t} catch (IOException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\n\t\tfor (int id : IPs.keySet()) {\n\t\t\tSystem.out.println(\"Added: \" + id + \" \" + IPs.get(id) + \" \" + Ports.get(id));\n\t\t}\n\t\tSystem.out.println(\"Bounds of delay in milliSec: \" + minDelay + \" \" + maxDelay);\n }", "private void AsyncPush(String topic){\n\t\t\t\t \t\n\t \t/*\n\t \t output a map, delete existed items\n\t \t /\n\t \t//Map<Key, Integer> deduplicatedBuff = mergeDuplicatedItemsAndDelte(buff);\n\t \t\n\t \t//not in, create, delay\n\t \tif(!producerMap.containsKey(topic)){\n\t \t\ttry {\n\t\t\t\t\t\t\tCreateProducer(topic,LogicController.batchMessagesMaxMessagesPerBatch);\n\t\t\t\t\t\t} catch (InterruptedException e) {\n\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\te.printStackTrace();\n\t\t\t\t\t\t} catch (ExecutionException e) {\n\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\te.printStackTrace();\n\t\t\t\t\t\t}\t \t\t \n\t \t}\n\t \tlog.info(\"#publish\"+topic+\", \"+buffMap.size());\n\t \tProducer<byte[]> producer = producerMap.get(topic);\n\t \t/\n\t \t init set, copy to hash set\n\t \t /\n\t \t//Set<Key> Keys = Sets.newConcurrentHashSet(buffMap.keySet());\n\t \t\n\t \t \n\t \tfor (Key key : buffMap.keySet()){\n\t \t\t \n\t \t\t //if(buffMap.containsKey(key)){\n\t \t\t \n\t \t\t \n\t \t\t if(buffMap.containsKey(key)){\n\t \t\t\t Integer val = buffMap.get(key);\n\t \t\t\t //clear,skip\n\t \t\t\t if(val<=0){buffMap.remove(key);continue;}\n\t \t\t\t //concenate\n\t \t\t\t byte[] out = createKVByte(key,val);\n\t \t\t\t \n\t \t\t\t//get producer\n\t\t\t \t\t\t \n\t\t\t \t\t\t //byte[] tempTable = new byte[](buffMap);\n\t\t producer.sendAsync(out).thenRun(() -> {\n\t\t\t messagesSent.increment();\n\t\t\t bytesSent.add(out.length);\n\t\t\t //update\n\t\t\t TopicMap.replace(topic, TopicMap.get(topic)+out.length);\t\n\t\t\t \n\t\t\t //delete\n\t\t\t rescaleBufferMap(buffMap,key,val);\n\t\t\t \n\t\t\t //CheckNumberPacketsEnoughEndMessageAndSend(topic);\n\t\t\t //buffMap.remove(key);\n\t\t\t //remove from the set\n\t\t\t //ier.remove();\n\t\t\t \t\t \t\t \n\t\t\t }).exceptionally(ex -> {\n\t\t\t log.warn(\"Write error on message\", ex);\n\t\t\t //System.exit(-1);\n\t\t\t return null;\n\t\t\t });\n\t \t\t }\n\t \t\t }\n\t \t\t \n\t \t }", "@Override\r\n public void init() throws HarvesterException {\r\n JsonSimple options = new JsonSimple(getJsonConfig().getObject(\"harvester\", \"csv\"));\r\n \r\n String filePath = options.getString(null, \"fileLocation\");\r\n if (filePath == null) {\r\n throw new HarvesterException(\"No data file provided!\");\r\n }\r\n File csvDataFile = new File(filePath);\r\n if (csvDataFile == null \|\| !csvDataFile.exists()) {\r\n throw new HarvesterException(\"Could not find CSV file '\" + filePath + \"'\");\r\n }\r\n filename = csvDataFile.getName();\r\n \r\n idPrefix = options.getString(\"\", \"recordIDPrefix\");\r\n maxRows = options.getInteger(-1, \"maxRows\");\r\n ignoredFields = getStringList(options, \"ignoreFields\");\r\n includedFields = getStringList(options, \"includedFields\");\r\n payloadId = options.getString(DEFAULT_PAYLOAD_ID, \"payloadId\");\r\n batchSize = options.getInteger(DEFAULT_BATCH_SIZE, \"batchSize\");\r\n hasMore = true;\r\n \r\n try {\r\n // open the CSV file for reading\r\n Reader fileReader = new InputStreamReader(new FileInputStream(csvDataFile), \"UTF-8\");\r\n char delimiter = options.getString(String.valueOf(DEFAULT_DELIMITER), \"delimiter\").charAt(0);\r\n csvReader = new CSVReader(fileReader, delimiter);\r\n \r\n // configure the data fields\r\n if (options.getBoolean(true, \"headerRow\")) {\r\n dataFields = Arrays.asList(csvReader.readNext());\r\n } else {\r\n dataFields = getStringList(options, \"headerList\");\r\n }\r\n \r\n // check that the specified id column is valid\r\n idColumn = options.getString(null, \"idColumn\");\r\n if (idColumn != null && !dataFields.contains(idColumn)) {\r\n throw new HarvesterException(\"'\" + idColumn + \"' is invalid!\");\r\n }\r\n } catch (IOException ioe) {\r\n throw new HarvesterException(ioe);\r\n }\r\n }", "protected synchronized void parse() throws MessagingException {\n/ 481 / if (this.parsed) {\n/ / return;\n/ / }\n/ / \n/ / \n/ / \n/ 487 / this.ignoreMissingEndBoundary = PropUtil.getBooleanSystemProperty(\"mail.mime.multipart.ignoremissingendboundary\", true);\n/ / \n/ / \n/ 490 / this.ignoreMissingBoundaryParameter = PropUtil.getBooleanSystemProperty(\"mail.mime.multipart.ignoremissingboundaryparameter\", true);\n/ / \n/ / \n/ 493 / this.ignoreExistingBoundaryParameter = PropUtil.getBooleanSystemProperty(\"mail.mime.multipart.ignoreexistingboundaryparameter\", false);\n/ / \n/ / \n/ 496 / this.allowEmpty = PropUtil.getBooleanSystemProperty(\"mail.mime.multipart.allowempty\", false);\n/ / \n/ / \n/ 499 / this.bmparse = PropUtil.getBooleanSystemProperty(\"mail.mime.multipart.bmparse\", true);\n/ / \n/ / \n/ 502 / if (this.bmparse) {\n/ 503 / parsebm();\n/ / \n/ / return;\n/ / } \n/ 507 / InputStream in = null;\n/ 508 / SharedInputStream sin = null;\n/ 509 / long start = 0L, end = 0L;\n/ / \n/ / try {\n/ 512 / in = this.ds.getInputStream();\n/ 513 / if (!(in instanceof java.io.ByteArrayInputStream) && !(in instanceof BufferedInputStream) && !(in instanceof SharedInputStream))\n/ / {\n/ / \n/ 516 / in = new BufferedInputStream(in); } \n/ 517 / } catch (Exception ex) {\n/ 518 / throw new MessagingException(\"No inputstream from datasource\", ex);\n/ / } \n/ 520 / if (in instanceof SharedInputStream) {\n/ 521 / sin = (SharedInputStream)in;\n/ / }\n/ 523 / ContentType cType = new ContentType(this.contentType);\n/ 524 / String boundary = null;\n/ 525 / if (!this.ignoreExistingBoundaryParameter) {\n/ 526 / String bp = cType.getParameter(\"boundary\");\n/ 527 / if (bp != null)\n/ 528 / boundary = \"--\" + bp; \n/ / } \n/ 530 / if (boundary == null && !this.ignoreMissingBoundaryParameter && !this.ignoreExistingBoundaryParameter)\n/ / {\n/ 532 / throw new MessagingException(\"Missing boundary parameter\");\n/ / }\n/ / \n/ / try {\n/ 536 / LineInputStream lin = new LineInputStream(in);\n/ 537 / StringBuffer preamblesb = null;\n/ / \n/ 539 / String lineSeparator = null; String line;\n/ 540 / while ((line = lin.readLine()) != null) {\n/ / int i;\n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ 548 / for (i = line.length() - 1; i >= 0; i--) {\n/ 549 / char c = line.charAt(i);\n/ 550 / if (c != ' ' && c != '\\t')\n/ / break; \n/ / } \n/ 553 / line = line.substring(0, i + 1);\n/ 554 / if (boundary != null) {\n/ 555 / if (line.equals(boundary))\n/ / break; \n/ 557 / if (line.length() == boundary.length() + 2 && line.startsWith(boundary) && line.endsWith(\"--\")) {\n/ / \n/ 559 / line = null;\n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / break;\n/ / } \n/ 568 / } else if (line.length() > 2 && line.startsWith(\"--\") && (\n/ 569 / line.length() <= 4 \|\| !allDashes(line))) {\n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ 577 / boundary = line;\n/ / \n/ / \n/ / break;\n/ / } \n/ / \n/ / \n/ 584 / if (line.length() > 0) {\n/ / \n/ / \n/ 587 / if (lineSeparator == null) {\n/ / try {\n/ 589 / lineSeparator = System.getProperty(\"line.separator\", \"\\n\");\n/ / }\n/ 591 / catch (SecurityException ex) {\n/ 592 / lineSeparator = \"\\n\";\n/ / } \n/ / }\n/ / \n/ 596 / if (preamblesb == null)\n/ 597 / preamblesb = new StringBuffer(line.length() + 2); \n/ 598 / preamblesb.append(line).append(lineSeparator);\n/ / } \n/ / } \n/ / \n/ 602 / if (preamblesb != null) {\n/ 603 / this.preamble = preamblesb.toString();\n/ / }\n/ 605 / if (line == null) {\n/ 606 / if (this.allowEmpty) {\n/ / return;\n/ / }\n/ 609 / throw new MessagingException(\"Missing start boundary\");\n/ / } \n/ / \n/ / \n/ 613 / byte[] bndbytes = ASCIIUtility.getBytes(boundary);\n/ 614 / int bl = bndbytes.length;\n/ / \n/ / \n/ / \n/ / \n/ / \n/ 620 / boolean done = false;\n/ / \n/ 622 / while (!done) {\n/ 623 / MimeBodyPart part; InternetHeaders headers = null;\n/ 624 / if (sin != null) {\n/ 625 / start = sin.getPosition();\n/ / \n/ 627 / while ((line = lin.readLine()) != null && line.length() > 0);\n/ / \n/ 629 / if (line == null) {\n/ 630 / if (!this.ignoreMissingEndBoundary) {\n/ 631 / throw new MessagingException(\"missing multipart end boundary\");\n/ / }\n/ / \n/ 634 / this.complete = false;\n/ / \n/ / break;\n/ / } \n/ / } else {\n/ 639 / headers = createInternetHeaders(in);\n/ / } \n/ / \n/ 642 / if (!in.markSupported()) {\n/ 643 / throw new MessagingException(\"Stream doesn't support mark\");\n/ / }\n/ 645 / ByteArrayOutputStream buf = null;\n/ / \n/ 647 / if (sin == null) {\n/ 648 / buf = new ByteArrayOutputStream();\n/ / } else {\n/ 650 / end = sin.getPosition();\n/ / } \n/ 652 / boolean bol = true;\n/ / \n/ 654 / int eol1 = -1, eol2 = -1;\n/ / \n/ / \n/ / \n/ / \n/ / while (true) {\n/ 660 / if (bol) {\n/ / \n/ / \n/ / \n/ / \n/ / \n/ 666 / in.mark(bl + 4 + 1000);\n/ / int i;\n/ 668 / for (i = 0; i < bl && \n/ 669 / in.read() == (bndbytes[i] & 0xFF); i++);\n/ / \n/ 671 / if (i == bl) {\n/ / \n/ 673 / int b2 = in.read();\n/ 674 / if (b2 == 45 && \n/ 675 / in.read() == 45) {\n/ 676 / this.complete = true;\n/ 677 / done = true;\n/ / \n/ / break;\n/ / } \n/ / \n/ 682 / while (b2 == 32 \|\| b2 == 9) {\n/ 683 / b2 = in.read();\n/ / }\n/ 685 / if (b2 == 10)\n/ / break; \n/ 687 / if (b2 == 13) {\n/ 688 / in.mark(1);\n/ 689 / if (in.read() != 10) {\n/ 690 / in.reset();\n/ / }\n/ / break;\n/ / } \n/ / } \n/ 695 / in.reset();\n/ / \n/ / \n/ / \n/ 699 / if (buf != null && eol1 != -1) {\n/ 700 / buf.write(eol1);\n/ 701 / if (eol2 != -1)\n/ 702 / buf.write(eol2); \n/ 703 / eol1 = eol2 = -1;\n/ / } \n/ / } \n/ / \n/ / int b;\n/ 708 / if ((b = in.read()) < 0) {\n/ 709 / if (!this.ignoreMissingEndBoundary) {\n/ 710 / throw new MessagingException(\"missing multipart end boundary\");\n/ / }\n/ 712 / this.complete = false;\n/ 713 / done = true;\n/ / \n/ / \n/ / \n/ / break;\n/ / } \n/ / \n/ / \n/ 721 / if (b == 13 \|\| b == 10) {\n/ 722 / bol = true;\n/ 723 / if (sin != null)\n/ 724 / end = sin.getPosition() - 1L; \n/ 725 / eol1 = b;\n/ 726 / if (b == 13) {\n/ 727 / in.mark(1);\n/ 728 / if ((b = in.read()) == 10) {\n/ 729 / eol2 = b; continue;\n/ / } \n/ 731 / in.reset();\n/ / } continue;\n/ / } \n/ 734 / bol = false;\n/ 735 / if (buf != null) {\n/ 736 / buf.write(b);\n/ / }\n/ / } \n/ / \n/ / \n/ / \n/ / \n/ / \n/ 744 / if (sin != null) {\n/ 745 / part = createMimeBodyPartIs(sin.newStream(start, end));\n/ / } else {\n/ 747 / part = createMimeBodyPart(headers, buf.toByteArray());\n/ 748 / } super.addBodyPart(part);\n/ / } \n/ 750 / } catch (IOException ioex) {\n/ 751 / throw new MessagingException(\"IO Error\", ioex);\n/ / } finally {\n/ / try {\n/ 754 / in.close();\n/ 755 / } catch (IOException cex) {}\n/ / } \n/ / \n/ / \n/ / \n/ 760 / this.parsed = true;\n/ / }", "@Override\r\n public void initialize() {\n Properties props = new Properties();\r\n props.put(\"bootstrap.servers\", bootstrapServers);\r\n props.put(\"group.id\", groupId);\r\n props.put(\"enable.auto.commit\", \"false\");\r\n props.put(\"key.deserializer\", keyDeserializer);\r\n props.put(\"value.deserializer\", valueDeserializer);\r\n consumer = new KafkaConsumer<>(props);\r\n consumer.subscribe(topics);\r\n while (isCrawling) {\r\n ConsumerRecords<String, String> records = consumer.poll(pollInterval);\r\n for (ConsumerRecord<String, String> record : records) {\r\n Document d = new Document(record.key());\r\n d.setField(\"data\", record.value());\r\n d.setField(\"topic\", record.topic());\r\n d.setField(\"offset\",record.offset());\r\n d.setField(\"partition\",record.partition());\r\n d.setField(\"timestamp\",record.timestamp());\r\n feed(d);\r\n }\r\n }\r\n }", "public void configure(JobConf conf) {\n filePath = conf.get(INPUT_FILE_PARAMETER);\n }", "@Override\n\t\t\tpublic void run() {\n\t\t\t\t\n\t\t\t\tUri uri = dataContract.SOURCE_CONTENT_URI;\n\t\t\t\tif (catergory.equals(\"thumbnail\"))\n\t\t\t\t{\n\t\t\t\t\turi = dataContract.THUMBNAIL_CONTENT_URI;\n\t\t\t\t}\n\t\t\t\tUri dataUri = uri.buildUpon()\n\t\t\t\t\t\t\t.appendPath(giftId).build();\n\t\t\t\t\n\t\t\t\tbyte data[] = null;\n\t\t\t\tint dataRead = 0;\n\t\t\t\tint tdatalen = 0;\n\t\t\t\tint buffer_size = 2048;\n\t\t\t\ttry {\n\t\t\t\t\tInputStream in = resolver.openInputStream(dataUri);\n\t\t\t\t\tdata = new byte[buffer_size];\n\t\t\t\t\tdo {\n\t\t\t\t\t\tdataRead = in.read(data, tdatalen, buffer_size);\n\t\t\t\t\t\tif (dataRead != -1) {\n\t\t\t\t\t\t\tbyte tmp[] = new byte[data.length + buffer_size];\n\t\t\t\t\t\t\tSystem.arraycopy(data, 0, tmp, 0, data.length);\n\t\t\t\t\t\t\ttdatalen += dataRead;\n\t\t\t\t\t\t\tdata = tmp;\n\t\t\t\t\t\t}\n\t\t\t\t\t} while (dataRead != -1);\n\t\t\t\t\tin.close();\n\t\t\t\t} \n\t\t\t\t\n\t\t\t\tcatch (FileNotFoundException e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t}\n\t\t\t\tcatch (IOException e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\tMessage msg = Message.obtain(handler, PotlatchMsg.GET_DATA.getVal());\n\t\t\t\tBundle b = new Bundle();\n\t\t\t\tb.putByteArray(PotlatchConst.get_data, data);\n\t\t\t\tmsg.setData(b);\n\t\t\t\thandler.sendMessage(msg);\n\t\n\t\t\t}", "@Override\n\t\t\tpublic void run() {\n\t\t\t\ttry {\n\t\t\t\t\tSystem.out.println(\"开始上传\");\n\t\t\t\t\tsocket=new Socket(ip,port);\n\t\t\t\t\tInputStream in=socket.getInputStream();\n\t\t\t\t\tOutputStream out=socket.getOutputStream();\n\t\t\t\t\tBufferedInputStream input=new BufferedInputStream(in);\n\t\t\t\t\twhile(true)\n\t\t\t\t\t{\n\t\t\t\t\t\tFileInputStream fis=new FileInputStream(file);\n\t\t\t\t\t\tDataInputStream dis=new DataInputStream(new BufferedInputStream(fis));\n\t\t\t\t\t\tbyte[] buf=new byte[8192];\n\t\t\t\t\t\tDataOutputStream ps=new DataOutputStream(out);\n\t\t\t\t\t\twhile(true)\n\t\t\t\t\t\t{\n\t\t\t\t\t\t\tThread.sleep(100);\n\t\t\t\t\t\t\tint read=0;\n\t\t\t\t\t\t\tif(dis!=null){\n\t\t\t\t\t\t\t\tread=fis.read(buf);\n\t\t\t\t\t\t\t\tdownLoadFileSize+=read;\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tif(read==-1)\n\t\t\t\t\t\t\t{\n\t\t\t\t\t\t\t\ttimer.cancel();\n\t\t\t\t\t\t\t\tMessage msg=new Message();\n\t\t\t\t\t\t\t\tBundle bundle=new Bundle();\n\t\t\t\t\t\t\t\tbundle.putInt(\"percent\",100 );\n\t\t\t\t\t\t\t\tmsg.setData(bundle);\n\t\t\t\t\t\t\t\thandler.sendMessage(msg);\n\t\t\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\tps.write(buf,0,read);\n\t\t\t\t\t\t}\n\t\t\t\t\t\tps.flush();\n\t\t\t\t\t\tout.flush();\n\t\t\t\t\t\tps.close();\n\t\t\t\t\t\tdis.close();\n\t\t\t\t\t\tsocket.close();\n\t\t\t\t\t\tSystem.out.println(\"上传完成\");\n\t\t\t\t\t\t \n\t\t\t\t\t\tbreak;\n\t\t\t\t\t\t\n\t\t\t\t\t}\n\t\t\t\t\t\n\t\t\t\t} catch (Exception e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t\t\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}", "public void messageArrived(String topic, MqttMessage message) throws Exception {\n\t\tSystem.out.println(\"&&&&&&&&&&&&&&&\");\n\t\tSystem.out.println(message.getClass());\n\t\t/\n\t\t obj.put(\"start\",startDate);\n obj.put(\"end\",endDate);\n obj.put(\"topicName\",topicName_New);\n obj.put(\"bf\",bf);\n\t\t /\n\t\tSystem.out.println(\"topic on which data has been received is :\"+topic);\n\t\tSystem.out.println(\"the data packet from the broker has been received in JSON\");\n\t\t\n\t\t\n\t\tByteArrayInputStream baos = new ByteArrayInputStream(message.getPayload());\n\t\tSystem.out.println(\"after message payload\");\n\t\tObjectInputStream outputStream = new ObjectInputStream(baos);\n\t\t\n\t\tJSONObject datapacket=null;\n\t\ttry{\n\t\t\t datapacket=(JSONObject)outputStream.readObject();\n\t\t}catch(Exception ex){\n\t\t\tSystem.out.println(\"koi to gadbad hai\");\n\t\t\tex.printStackTrace();\n\t\t\tSystem.out.println();\n\t\t}\n\t\t\n\t\tSystem.out.println(\"parsing the data from the json packets.....started\");\n\t\tBloomFilter bfilter=new BloomFilter(0.01,1000);\n\t\t\n\t\ttry{\n\t\t\t\n\t\t\tbyte[] buffer=(byte[]) datapacket.get(\"bf\");\n\t\t\tByteBuffer bb=ByteBuffer.wrap(buffer);\n\t\t\t\n\t\t\tbfilter.deSerialize(bb);\n\t\t\t\n\t\t}catch(Exception ex){\n\t\t\tSystem.out.println(\"error in getting the bloom filter\");\n\t\t\tex.printStackTrace();\n\t\t}\n\t\tSystem.out.println(\"bloom filter obtained\");\n\t\tString TOPIC_TOSUBSCRIBE=(String) datapacket.get(\"topicName\");\n\t\t\n\t\tString SD=(String) datapacket.get(\"start\");\n\t\tString ED=(String) datapacket.get(\"end\");\n\t\t\n\t\tSystem.out.println(\"printing the bloom filter object parametersss....\");\n\t\tSystem.out.println(bfilter.getBitVectorSize());\n\t\tSystem.out.println(bfilter.getNumberOfEntries());\n\t\t\n\t\t\n\t\tSystem.out.println(\"deserialization object checking=== \"+bfilter.contains(\"random string10000\"));\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t\n\t\tFile file = new File(\"/Users/gaurav/Desktop/BrokerMessages.txt\");\n\t\tif (!file.exists()) {\n\t\t\tfile.createNewFile();\n\t\t}\n\tSystem.out.println(\"control in callback subscriber\");\n//\t\t\n//\t\tSystem.out.println(\"file absolute path :\" + file.getAbsoluteFile());\n\n\t\tFileWriter fw = new FileWriter(file.getAbsoluteFile(), true);\n\t\tBufferedWriter bw = new BufferedWriter(fw);\n\t\tString h = message.toString();\n\t\tbw.write(h);\n\t\tbw.write(\"\\n\");\n\t\tbw.close();\n\n\t\tSystem.out.println(\"Done\");\n\n\t\tif (\"testing/LWT\".equals(topic)) {\n\t\t\tSystem.err.println(\"Sensor gone!\");\n\t\t}\n\t}", "@Override\n public void onFinished()\n {\n if (_requestPayload == null)\n {\n _streamResponseCallback.onError(Messages.toStreamException(RestException.forError(400,\n \"Did not receive any parts in the multipart mime request!\")));\n return;\n }\n\n //At this point, this means that the multipart mime envelope didn't have any attachments (apart from the\n //json/pson payload). Technically the rest.li client would not create a payload like this, but to keep the protocol\n //somewhat flexible we will allow it.\n //If there had been more attachments, then onNewPart() above would be invoked and we would have passed the\n //attachment reader onto the framework.\n\n //It is also important to note that this callback (TopLevelReaderCallback) will no longer be used. We provide\n //null to the application developer since there are no attachments present. Therefore it is not possible for this\n //callback to ever be used again. This is a bit different then the onNewPart() case above because in that case\n //there is a valid non-null attachment reader provided to the resource method. In that case application developers\n //could call drainAllAttachments() without registering a callback which would then lead to onDrainComplete() being\n //invoked.\n\n _restRequestBuilder.setEntity(_requestPayload);\n RestRequest restRequest = _restRequestBuilder.build();\n //We have no attachments so we pass null for the reader.\n // Debug request should have already handled by one of the request handlers.\n _fallback.handleResourceRequest(restRequest,\n _routingResult, toRestResponseCallback(_streamResponseCallback, _routingResult.getContext()));\n }", "@Override\n public void configure() throws Exception\n {\n errorHandler(deadLetterChannel(\"jms:queue:deadLetterQueue?transferExchange=true\"));\n\n /\n * New User Route\n /\n this.buildRoute(\"edu.bcm.dldcc.big.utility.entity.NewUserLog\", \"\",\n \"newUserTopic\",\n CaTissueRouteBuilder.SHORT_TIMEOUT,\n CaTissueRouteBuilder.DEFAULT_DELAY);\n\n /\n * Update User Route\n /\n this.buildRoute(\"edu.bcm.dldcc.big.utility.entity.UpdateUserLog\", \"\",\n \"userChangeTopic\",\n CaTissueRouteBuilder.DEFAULT_TIMEOUT,\n CaTissueRouteBuilder.DEFAULT_DELAY);\n\n /\n * New Site Route\n /\n this.buildRoute(\"edu.bcm.dldcc.big.utility.entity.NewSiteLog\", \"\",\n \"newSiteTopic\",\n CaTissueRouteBuilder.SHORT_TIMEOUT,\n CaTissueRouteBuilder.DEFAULT_DELAY);\n\n /\n * New Participant Route\n /\n this.buildRoute(\"edu.bcm.dldcc.big.utility.entity.NewParticipantLog\", \"\",\n \"newParticipantTopic\",\n CaTissueRouteBuilder.SHORT_TIMEOUT,\n CaTissueRouteBuilder.DEFAULT_DELAY);\n\n /\n * Update Consent Route\n /\n this.triggerScoreboard(this.buildRoute(\n \"edu.bcm.dldcc.big.utility.entity.UpdateConsentLog\", \"\",\n \"updateConsentTopic\",\n CaTissueRouteBuilder.DEFAULT_TIMEOUT,\n CaTissueRouteBuilder.DEFAULT_DELAY));\n\n /\n * New Specimen Route\n /\n this.triggerScoreboard(this.buildRoute(\n \"edu.bcm.dldcc.big.utility.entity.NewSpecimenLog\",\n \"\",\n \"newSpecimenTopic\",\n CaTissueRouteBuilder.DEFAULT_TIMEOUT,\n CaTissueRouteBuilder.SPECIMEN_DELAY));\n\n /\n * Update Specimen Route\n /\n this.triggerScoreboard(this.buildRoute(\n \"edu.bcm.dldcc.big.utility.entity.UpdateSpecimenLog\", \"\",\n \"updateSpecimenTopic\",\n CaTissueRouteBuilder.DEFAULT_TIMEOUT,\n CaTissueRouteBuilder.SPECIMEN_DELAY\n ));\n\n /\n * Dynamic Extension Route\n /\n this.triggerScoreboard(this.buildRoute(\n \"edu.bcm.dldcc.big.utility.entity.DynamicExtensionUpdateLog\", \"\",\n \"dynamicExtensionTopic\",\n CaTissueRouteBuilder.DEFAULT_TIMEOUT,\n CaTissueRouteBuilder.DEFAULT_DELAY));\n\n /\n * Specimen Characteristic Route\n /\n this.triggerScoreboard(from(\n this.getComponentName() + \":\"\n + \"edu.bcm.dldcc.big.utility.entity.SpecimenCharacteristicsLog\"\n + \"?persistenceUnit=\" + this.getInstance().getPersistenceUnit()\n + \"&consumer.delay=\" + CaTissueRouteBuilder.SPECIMEN_DELAY + \n \"&consumeLockEntity=false\").transacted()\n .removeHeaders(\"Camel\")\n .setHeader(\"instance\", this.constant(this.getInstance().name())));\n\n from(\"jms:queue:annotationUpdateQueue\")\n .aggregate(header(\"JMSCorrelationID\"),\n new MostRecentAggregationStrategy()).completionTimeout(\n CaTissueRouteBuilder.UPDATE_TIMEOUT)\n .to(\"jms:queue:scoreboardQueue\");\n\n from(\"jms:queue:scoreboardQueue\").removeHeaders(\"Camel\").beanRef(\n \"scoreboard\", \"updateScoreboards\");\n\n }", "int insert(JmfTaskMqRef record);", "public RecorderManager(int audioSource, int sampleRate, int channelConfig, int audioFormat, String filePath){\n\t\ttry {\n\t\t\tif (audioFormat == AudioFormat.ENCODING_PCM_16BIT) {\n\t\t\t\tbSamples = 16;\n\t\t\t} else {\n\t\t\t\tbSamples = 8;\n\t\t\t}\n\t\t\tif (channelConfig == AudioFormat.CHANNEL_CONFIGURATION_MONO) {\n\t\t\t\tnChannels = 1;\n\t\t\t} else {\n\t\t\t\tnChannels = 2;\n\t\t\t}\n\t\t\tframePeriod = sampleRate TIMER_INTERVAL / 1000;\n\t\t\tbufferSize = framePeriod * 2 * bSamples * nChannels / 8;\n\t\t\tif (bufferSize < AudioRecord.getMinBufferSize(sampleRate, channelConfig, audioFormat)) {\n\t\t\t\t// Check to make sure buffer size is not smaller than the smallest allowed one\n\t\t\t\tbufferSize = AudioRecord.getMinBufferSize(sampleRate, channelConfig, audioFormat);\n\t\t\t\t// Set frame period and timer interval accordingly\n\t\t\t\tLog.w(TAG, \"Increasing buffer size to \" + Integer.toString(bufferSize));\n\t\t\t}\n\t\t\t//record period anand read buffer\n\t\t\tframePeriod = bufferSize / ( 2 * bSamples * nChannels / 8 );\n\t\t\tbuffer = new byte[framePeriodbSamples/8nChannels];\n\t\t\t/*\n\t\t\t audioSource Audio source\n\t\t\t /\n\t\t\taudioRecorder = new AudioRecord(audioSource, sampleRate, channelConfig, audioFormat, bufferSize);\n\n\t\t\tif (audioRecorder.getState() != AudioRecord.STATE_INITIALIZED)\n\t\t\t\tthrow new Exception(\"AudioRecord initialization failed\");\n//\t\t\t//在此处进行数据读取\n//\t\t\taudioRecorder.setRecordPositionUpdateListener(updateListener);\n//\t\t\t//录音通知周期及录音数据读取 buffer 的设定\n//\t\t\taudioRecorder.setPositionNotificationPeriod(framePeriod);\n//\t\t\tLog.i(TAG,\"path :\" +filePath);\n\t\t\t//当前状态为初始化状态\n\t\t\tstate = State.INITIALIZING;\n\t\t} catch (Exception e) {\n\t\t\tLog.e(TAG, \"initialize fail\",e);\n\t\t}\n\t}", "public void initializeConsumerProducer(int queueSize) {\n\n trainSignal = false;\n if (radioDataSet.isSelected()) {\n consumer = new DataSetConsumer(jmeVisualization);\n producer = new DataSetProducer(neuralNetAndDataSet);\n }\n if (radioWeights.isSelected()) {\n consumer = new NeuralNetworkWeightsConsumer(jmeVisualization);\n producer = new NeuralNetworkWeightsProducer(neuralNetAndDataSet);\n }\n\n /\n Instantiate producerConsumer and start consuming(drawing)\n /\n consumerProducer = new ConsumerProducer(queueSize);\n consumerProducer.setConsumer(consumer);\n consumerProducer.setProducer(producer);\n\n consumerProducer.startConsuming();\n\n }", "protected UploadInfo doInBackground(Void... v) {\n\n DataObject dob = pending.remove(); \n UploadInfo uInfo = new UploadInfo(); \n // ensure that the lists are the same size \n if (dob.fields.size() != dob.data.size()) {\n Log.e(\"iSENSE\", \"Input lists are not the same size!\"); \n return uInfo; \n } \n\n // A simple throttle if too much data is being thrown at the upload queue \n if (pending.size() > QUEUEDEPTH) {\n Log.e(\"iSENSE\", \"Too many items in upload queue!\"); \n return uInfo; \n }\n\n // Sleep while we don't have a wifi connection or a mobile connection\n ConnectivityManager cm = (ConnectivityManager) \n activity.getSystemService(Context.CONNECTIVITY_SERVICE); \n\n boolean wifi = cm.getNetworkInfo(ConnectivityManager.TYPE_WIFI).isConnected(); \n boolean mobi = false; \n\n if (cm.getNetworkInfo(ConnectivityManager.TYPE_MOBILE) != null) {\n mobi = cm.getNetworkInfo(ConnectivityManager.TYPE_MOBILE).isConnected(); \n }\n\n while (!(wifi\|\|mobi)) {\n try {\n Log.i(\"iSENSE\", \"No internet connection; sleeping for one second\"); \n Thread.sleep(1000); \n } catch (InterruptedException e) {\n Log.e(\"iSENSE\", \"Thread Interrupted!\"); \n }\n wifi = cm.getNetworkInfo(ConnectivityManager.TYPE_WIFI).isConnected(); \n if (cm.getNetworkInfo(ConnectivityManager.TYPE_MOBILE) != null) { \n mobi = cm.getNetworkInfo(ConnectivityManager.TYPE_MOBILE).isConnected(); \n }\n } \n\n // Active internet connection detected; proceed with upload \n\n // Get fields from project\n ArrayList<RProjectField> projectFields = api.getProjectFields(ProjectID);\n JSONObject jData = new JSONObject();\n for (int i = 0; i < dob.fields.size(); i++) {\n for (int j = 0; j < projectFields.size(); j++) {\n if (dob.fields.get(i + 1).equals(projectFields.get(j).name)) {\n try {\n String sdata = dob.data.get(i + 1).toString();\n jData.put(\"\" + projectFields.get(j).field_id, new JSONArray().put(sdata));\n } catch (JSONException e) {\n UploadDataSetFailed(\"Error uploading to iSense: \" + e.getMessage());\n e.printStackTrace();\n return uInfo;\n }\n }\n }\n }\n\n int dataSetId = -1;\n int mediaID = -1;\n // are we uploading a new data set?\n if (!dob.name.equals(\"\")) {\n // login with contributor key\n Calendar cal = Calendar.getInstance();\n SimpleDateFormat sdf = new SimpleDateFormat(\"MMMM dd, yyyy HH:mm:ss aaa\");\n String date = \" - \" + sdf.format(cal.getTime()).toString();\n uInfo = api.uploadDataSet(ProjectID, jData, \n dob.name + date, ContributorKey, CONTRIBUTORNAME); \n\n dataSetId = uInfo.dataSetId; \n Log.i(\"iSENSE\", \"JSON Upload: \" + jData.toString()); \n Log.i(\"iSENSE\", \"Dataset ID: \" + dataSetId); \n if (dataSetId == -1) {\n Log.e(\"iSENSE\", \"Append failed! Check your contributor key and project ID.\"); \n return uInfo; \n }\n }\n\n // are we appending to existing data set?\n if (dob.datasetid != -1) {\n uInfo = api.appendDataSetData(dob.datasetid, jData, ContributorKey);\n dataSetId = uInfo.dataSetId; \n Log.i(\"iSENSE\", \"JSON Upload: \" + jData.toString()); \n Log.i(\"iSENSE\", \"Dataset ID: \" + dataSetId); \n if (dataSetId == -1) {\n Log.e(\"iSENSE\", \"Append failed! Check your contributor key and project ID.\");\n return uInfo;\n }\n }\n\n // do we have a photo to upload?\n if (!dob.path.equals(\"\")) {\n File pic = new File(dob.path);\n pic.setReadable(true);\n Log.i(\"iSENSE\", \"Trying to upload: \" + dob.path);\n uInfo = api.uploadMedia(dataSetId, pic, \n API.TargetType.DATA_SET, ContributorKey, CONTRIBUTORNAME);\n dataSetId = uInfo.mediaId;\n Log.i(\"iSENSE\", \"MediaID: \" + dataSetId);\n if (dataSetId == -1) {\n Log.e(\"iSENSE\", \"Media upload failed. Is it a valid picture?\");\n return uInfo;\n }\n }\n return uInfo;\n }", "@Override\n public boolean onStartJob(JobParameters job) {\n\n new Thread(new Runnable() {\n @Override\n public void run() {\n Log.d(\"lkj noti ready\", \"noti ready\");\n if (mUser != null) {\n mDatabase.child(\"users\").child(mUser.getUid()).child(\"uploadContent\").addListenerForSingleValueEvent(new ValueEventListener() {\n @Override\n public void onDataChange(@NonNull DataSnapshot dataSnapshot) {\n //내가 게시한 투표 리스트 가져오기\n Map<String, Object> uploadContents = (Map<String, Object>) dataSnapshot.getValue();\n final ArrayList<String> contentList = new ArrayList<>();\n try {\n for (Map.Entry<String, Object> entry : uploadContents.entrySet()) {\n if (entry.getValue().equals(\"true\")) {\n contentList.add(entry.getKey());\n }\n }\n } catch (Exception e) {\n e.printStackTrace();\n }\n\n\n //가져온 리스트와 전체 리스트 비교하기\n mDatabase.child(\"user_contents\").addListenerForSingleValueEvent(new ValueEventListener() {\n @Override\n public void onDataChange(@NonNull DataSnapshot dataSnapshot) {\n Iterator<DataSnapshot> listIterator = dataSnapshot.getChildren().iterator();\n while (listIterator.hasNext()) {\n final ContentDTO contentDTO = listIterator.next().getValue(ContentDTO.class);\n for (int i = 0; i < contentList.size(); i++) {\n if (contentDTO.contentKey.equals(contentList.get(i))) {\n\n //가져온 리스트와 전체 리스트 비교해서 알람에 설정된 카운트 가져오기\n //continueCount는 n번째마다 알람\n //oneCount는 n번\n mDatabase.child(\"user_contents\").child(contentList.get(i)).child(\"alarm\").addListenerForSingleValueEvent(new ValueEventListener() {\n @Override\n public void onDataChange(@NonNull DataSnapshot dataSnapshot) {\n try {\n String tmp = dataSnapshot.toString();\n int index = tmp.indexOf(\"C\");//ContinueCount\n String temp = tmp.substring(index, tmp.length() - 2);\n int index_ = temp.indexOf(\"O\");//OneCount\n// int continueCount = Integer.parseInt(temp.substring(1, index_));\n int oneCount = Integer.parseInt(temp.substring(index_ + 1, temp.length()));\n//\n if (oneCount != 0) {\n if (contentDTO.contentHit >= oneCount) {\n notificationShow(contentDTO.title, contentDTO.contentHit, contentDTO.contentKey, contentDTO.pollMode, contentDTO.itemViewType);\n mDatabase.child(\"user_contents\").child(contentDTO.contentKey).child(\"alarm\").setValue(\"C0O0\");\n Log.d(\"lkjJobTest1\", \"JOBTESTTTTT???????????TT\");\n Log.d(\"lkjJobTest2\", String.valueOf(contentDTO.contentHit));\n Log.d(\"lkjJobTest3\", String.valueOf(oneCount));\n }\n }\n } catch (Exception e) {\n e.printStackTrace();\n }\n\n }\n\n @Override\n public void onCancelled(@NonNull DatabaseError databaseError) {\n\n }\n });\n }\n }\n }\n }\n\n @Override\n public void onCancelled(@NonNull DatabaseError databaseError) {\n\n }\n });\n }\n\n @Override\n public void onCancelled(@NonNull DatabaseError databaseError) {\n\n }\n });\n Log.d(\"lkjJobTest\", \"JOBTESTTTTTTTTTTTTTTTT\");\n }\n\n }\n }).start();\n\n return true; // Answers the question: \"Is there still work going on?\"\n }", "void prepare(Map<String, Object> config, StormMetricsRegistry metricsRegistry) throws MetricException;", "@Override\r\n\tpublic void onMessage(ConsumerRecord<String, String> data) {\n\t\t\r\n\t\tString value = data.value();\r\n\t\t\r\n\r\n\t\tif(data.key().equals(\"add1\")) {\r\n\t\t\tarticleService.addHot(Integer.parseInt(data.value()));\r\n\t\t\t\r\n\t\t\tSystem.out.println(\"浏览量增加\");\r\n\t\t\t\r\n\t\t}else if(data.key().equals(\"shuju\")){\r\n\t\t\tGson gson = new Gson();\r\n\t\t\tArticle fromJson = gson.fromJson(value, Article.class);\r\n\t\t\t\r\n\t\t\tarticleService.kafkaSave(fromJson);\r\n\t\t}else if(data.key().equals(\"shizhichao_redis\")) {\r\n\t\t\tValueOperations<String, Article> opsForValue = redisTemplate.opsForValue();\r\n\t\t\t\r\n\t\t\tArticle article = opsForValue.get(value);\r\n\t\t\t\r\n\t\t\tint i = articleService.kafkaSave(article);\r\n\t\t\t\r\n\t\t\tif(i>0) {\r\n\t\t\t\tredisTemplate.delete(value);\r\n\t\t\t\tSystem.out.println( data.value() + \"已导入完毕\");\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t}\r\n\t\t\t\t\r\n\r\n\t\t\r\n\t\t\r\n\t}", "public void onMediaPrepared() {\n Assertions.checkNotNull(this.mediaPreparer);\n Assertions.checkNotNull(this.mediaPreparer.mediaPeriods);\n Assertions.checkNotNull(this.mediaPreparer.timeline);\n int periodCount = this.mediaPreparer.mediaPeriods.length;\n int rendererCount = this.rendererCapabilities.length;\n this.trackSelectionsByPeriodAndRenderer = (List[][]) Array.newInstance(List.class, periodCount, rendererCount);\n this.immutableTrackSelectionsByPeriodAndRenderer = (List[][]) Array.newInstance(List.class, periodCount, rendererCount);\n for (int i = 0; i < periodCount; i++) {\n for (int j = 0; j < rendererCount; j++) {\n this.trackSelectionsByPeriodAndRenderer[i][j] = new ArrayList();\n this.immutableTrackSelectionsByPeriodAndRenderer[i][j] = Collections.unmodifiableList(this.trackSelectionsByPeriodAndRenderer[i][j]);\n }\n }\n this.trackGroupArrays = new TrackGroupArray[periodCount];\n this.mappedTrackInfos = new MappingTrackSelector.MappedTrackInfo[periodCount];\n for (int i2 = 0; i2 < periodCount; i2++) {\n this.trackGroupArrays[i2] = this.mediaPreparer.mediaPeriods[i2].getTrackGroups();\n this.trackSelector.onSelectionActivated(runTrackSelection(i2).info);\n this.mappedTrackInfos[i2] = (MappingTrackSelector.MappedTrackInfo) Assertions.checkNotNull(this.trackSelector.getCurrentMappedTrackInfo());\n }\n setPreparedWithMedia();\n ((Handler) Assertions.checkNotNull(this.callbackHandler)).post(new DownloadHelper$$Lambda$2(this));\n }", "private void processConfigurationFile() throws RuntimeException {\n try {\n // Read all the lines and join them in a single string\n List<String> lines = Files.readAllLines(Paths.get(this.confFile));\n String content = lines.stream().reduce(\"\", (a, b) -> a + b);\n\n // Use the bson document parser to extract the info\n Document doc = Document.parse(content);\n this.mongoDBHostname = doc.getString(\"CLARUS_keystore_db_hostname\");\n this.mongoDBPort = doc.getInteger(\"CLARUS_keystore_db_port\");\n this.clarusDBName = doc.getString(\"CLARUS_keystore_db_name\");\n } catch (IOException e) {\n throw new RuntimeException(\"CLARUS configuration file could not be processed\", e);\n }\n }", "@Override\n\tpublic void run() {\n\t\tkafkaProducer.send(record);\n\t\tkafkaProducer.close();\n\t}", "public void run() {\n\t \t\t\tfinal Processor mProcessor = new Processor(ScanUtils.appFolder);\n\t \t\t\t\n\t \t\t\ttry {\n\t\t\t\t\t\tif( mProcessor.loadFormImage(inputPath, calibrationPath) ) {\n\t\t\t\t\t\t\tint formIdx = 0;\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tfor(int i = 0; i < templatePaths.length; i++){ \n\t\t\t\t\t\t\t\tLog.i(LOG_TAG, \"loadingFD: \" + templatePaths[i]);\n\t\t\t\t\t\t\t\tif(!mProcessor.loadFeatureData(templatePaths[i])){\n\t\t\t\t\t\t\t\t\tthrow new Exception(\"Could not load feature data from: \" + templatePaths[i]);\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tif(templatePaths.length > 1) {\n\t\t\t\t\t\t\t\tformIdx = mProcessor.detectForm();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\tif(formIdx >= 0) {\n\t\t\t\t\t\t\t\tif(mProcessor.setTemplate(templatePaths[formIdx])) {\n\t\t\t\t\t\t\t\t\tLog.i(LOG_TAG,\"template loaded\");\n\t\t\t\t\t\t\t\t\tif( mProcessor.alignForm(outputPath, formIdx) ) {\n\t\t\t\t\t\t\t\t\t\tLog.i(LOG_TAG,\"aligned\");\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\telse {\n\t\t\t\t\t\t\t\t\t\tthrow new Exception(\"Failed to align form.\");\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\telse {\n\t\t\t\t\t\t\t\t\tthrow new Exception(\"Failed to set template.\");\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\telse {\n\t\t\t\t\t\t\t\tthrow new Exception(\"Failed to detect form.\");\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse {\n\t\t\t\t\t\t\tthrow new Exception(\"Failed to load image: \" + inputPath);\n\t\t\t\t\t\t}\n\t \t\t\t} catch (Exception e) {\n\t \t\t\t\toutputData.putString(\"errorMessage\", e.toString());\n\t \t\t\t}\n\t \t\t\tMessage msg = new Message();\n\t \t\t\tmsg.setData(outputData);\n\t \t\t\thandler.sendMessage(msg);\n\t \t\t}", "private synchronized void parsebm() throws MessagingException {\n/ 777 / if (this.parsed) {\n/ / return;\n/ / }\n/ 780 / InputStream in = null;\n/ 781 / SharedInputStream sin = null;\n/ 782 / long start = 0L, end = 0L;\n/ / \n/ / try {\n/ 785 / in = this.ds.getInputStream();\n/ 786 / if (!(in instanceof java.io.ByteArrayInputStream) && !(in instanceof BufferedInputStream) && !(in instanceof SharedInputStream))\n/ / {\n/ / \n/ 789 / in = new BufferedInputStream(in); } \n/ 790 / } catch (Exception ex) {\n/ 791 / throw new MessagingException(\"No inputstream from datasource\", ex);\n/ / } \n/ 793 / if (in instanceof SharedInputStream) {\n/ 794 / sin = (SharedInputStream)in;\n/ / }\n/ 796 / ContentType cType = new ContentType(this.contentType);\n/ 797 / String boundary = null;\n/ 798 / if (!this.ignoreExistingBoundaryParameter) {\n/ 799 / String bp = cType.getParameter(\"boundary\");\n/ 800 / if (bp != null)\n/ 801 / boundary = \"--\" + bp; \n/ / } \n/ 803 / if (boundary == null && !this.ignoreMissingBoundaryParameter && !this.ignoreExistingBoundaryParameter)\n/ / {\n/ 805 / throw new MessagingException(\"Missing boundary parameter\");\n/ / }\n/ / \n/ / try {\n/ 809 / LineInputStream lin = new LineInputStream(in);\n/ 810 / StringBuffer preamblesb = null;\n/ / \n/ 812 / String lineSeparator = null; String line;\n/ 813 / while ((line = lin.readLine()) != null) {\n/ / int k;\n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ 821 / for (k = line.length() - 1; k >= 0; k--) {\n/ 822 / char c = line.charAt(k);\n/ 823 / if (c != ' ' && c != '\\t')\n/ / break; \n/ / } \n/ 826 / line = line.substring(0, k + 1);\n/ 827 / if (boundary != null) {\n/ 828 / if (line.equals(boundary))\n/ / break; \n/ 830 / if (line.length() == boundary.length() + 2 && line.startsWith(boundary) && line.endsWith(\"--\")) {\n/ / \n/ 832 / line = null;\n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / break;\n/ / } \n/ 841 / } else if (line.length() > 2 && line.startsWith(\"--\") && (\n/ 842 / line.length() <= 4 \|\| !allDashes(line))) {\n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ 850 / boundary = line;\n/ / \n/ / \n/ / break;\n/ / } \n/ / \n/ / \n/ 857 / if (line.length() > 0) {\n/ / \n/ / \n/ 860 / if (lineSeparator == null) {\n/ / try {\n/ 862 / lineSeparator = System.getProperty(\"line.separator\", \"\\n\");\n/ / }\n/ 864 / catch (SecurityException ex) {\n/ 865 / lineSeparator = \"\\n\";\n/ / } \n/ / }\n/ / \n/ 869 / if (preamblesb == null)\n/ 870 / preamblesb = new StringBuffer(line.length() + 2); \n/ 871 / preamblesb.append(line).append(lineSeparator);\n/ / } \n/ / } \n/ / \n/ 875 / if (preamblesb != null) {\n/ 876 / this.preamble = preamblesb.toString();\n/ / }\n/ 878 / if (line == null) {\n/ 879 / if (this.allowEmpty) {\n/ / return;\n/ / }\n/ 882 / throw new MessagingException(\"Missing start boundary\");\n/ / } \n/ / \n/ / \n/ 886 / byte[] bndbytes = ASCIIUtility.getBytes(boundary);\n/ 887 / int bl = bndbytes.length;\n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ 894 / int[] bcs = new int[256];\n/ 895 / for (int i = 0; i < bl; i++) {\n/ 896 / bcs[bndbytes[i] & 0xFF] = i + 1;\n/ / }\n/ / \n/ 899 / int[] gss = new int[bl];\n/ / \n/ 901 / for (int j = bl; j > 0; j--) {\n/ / \n/ 903 / int k = bl - 1; while (true) { if (k >= j) {\n/ / \n/ 905 / if (bndbytes[k] == bndbytes[k - j]) {\n/ / \n/ 907 / gss[k - 1] = j;\n/ / \n/ / k--;\n/ / } \n/ / \n/ / break;\n/ / } \n/ 914 / while (k > 0)\n/ 915 / gss[--k] = j; break; }\n/ / \n/ 917 / } gss[bl - 1] = 1;\n/ / \n/ / \n/ / \n/ / \n/ / \n/ 923 / boolean done = false;\n/ / \n/ 925 / while (!done) {\n/ 926 / int eolLen; MimeBodyPart part; InternetHeaders headers = null;\n/ 927 / if (sin != null) {\n/ 928 / start = sin.getPosition();\n/ / \n/ 930 / while ((line = lin.readLine()) != null && line.length() > 0);\n/ / \n/ 932 / if (line == null) {\n/ 933 / if (!this.ignoreMissingEndBoundary) {\n/ 934 / throw new MessagingException(\"missing multipart end boundary\");\n/ / }\n/ / \n/ 937 / this.complete = false;\n/ / \n/ / break;\n/ / } \n/ / } else {\n/ 942 / headers = createInternetHeaders(in);\n/ / } \n/ / \n/ 945 / if (!in.markSupported()) {\n/ 946 / throw new MessagingException(\"Stream doesn't support mark\");\n/ / }\n/ 948 / ByteArrayOutputStream buf = null;\n/ / \n/ 950 / if (sin == null) {\n/ 951 / buf = new ByteArrayOutputStream();\n/ / } else {\n/ 953 / end = sin.getPosition();\n/ / } \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ 965 / byte[] inbuf = new byte[bl];\n/ 966 / byte[] previnbuf = new byte[bl];\n/ 967 / int inSize = 0;\n/ 968 / int prevSize = 0;\n/ / \n/ 970 / boolean first = true;\n/ / \n/ / \n/ / \n/ / \n/ / while (true) {\n/ 976 / in.mark(bl + 4 + 1000);\n/ 977 / eolLen = 0;\n/ 978 / inSize = readFully(in, inbuf, 0, bl);\n/ 979 / if (inSize < bl) {\n/ / \n/ 981 / if (!this.ignoreMissingEndBoundary) {\n/ 982 / throw new MessagingException(\"missing multipart end boundary\");\n/ / }\n/ 984 / if (sin != null)\n/ 985 / end = sin.getPosition(); \n/ 986 / this.complete = false;\n/ 987 / done = true;\n/ / \n/ / break;\n/ / } \n/ / int k;\n/ 992 / for (k = bl - 1; k >= 0 && \n/ 993 / inbuf[k] == bndbytes[k]; k--);\n/ / \n/ / \n/ 996 / if (k < 0) {\n/ 997 / eolLen = 0;\n/ 998 / if (!first) {\n/ / \n/ / \n/ 1001 / int b = previnbuf[prevSize - 1];\n/ 1002 / if (b == 13 \|\| b == 10) {\n/ 1003 / eolLen = 1;\n/ 1004 / if (b == 10 && prevSize >= 2) {\n/ 1005 / b = previnbuf[prevSize - 2];\n/ 1006 / if (b == 13)\n/ 1007 / eolLen = 2; \n/ / } \n/ / } \n/ / } \n/ 1011 / if (first \|\| eolLen > 0) {\n/ 1012 / if (sin != null)\n/ / {\n/ / \n/ 1015 / end = sin.getPosition() - bl - eolLen;\n/ / }\n/ / \n/ 1018 / int b2 = in.read();\n/ 1019 / if (b2 == 45 && \n/ 1020 / in.read() == 45) {\n/ 1021 / this.complete = true;\n/ 1022 / done = true;\n/ / \n/ / break;\n/ / } \n/ / \n/ 1027 / while (b2 == 32 \|\| b2 == 9) {\n/ 1028 / b2 = in.read();\n/ / }\n/ 1030 / if (b2 == 10)\n/ / break; \n/ 1032 / if (b2 == 13) {\n/ 1033 / in.mark(1);\n/ 1034 / if (in.read() != 10)\n/ 1035 / in.reset(); \n/ / break;\n/ / } \n/ / } \n/ 1039 / k = 0;\n/ / } \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ / \n/ 1049 / int skip = Math.max(k + 1 - bcs[inbuf[k] & Byte.MAX_VALUE], gss[k]);\n/ / \n/ 1051 / if (skip < 2) {\n/ / \n/ / \n/ / \n/ 1055 / if (sin == null && prevSize > 1)\n/ 1056 / buf.write(previnbuf, 0, prevSize - 1); \n/ 1057 / in.reset();\n/ 1058 / skipFully(in, 1L);\n/ 1059 / if (prevSize >= 1) {\n/ / \n/ 1061 / previnbuf[0] = previnbuf[prevSize - 1];\n/ 1062 / previnbuf[1] = inbuf[0];\n/ 1063 / prevSize = 2;\n/ / } else {\n/ / \n/ 1066 / previnbuf[0] = inbuf[0];\n/ 1067 / prevSize = 1;\n/ / }\n/ / \n/ / } else {\n/ / \n/ 1072 / if (prevSize > 0 && sin == null) {\n/ 1073 / buf.write(previnbuf, 0, prevSize);\n/ / }\n/ 1075 / prevSize = skip;\n/ 1076 / in.reset();\n/ 1077 / skipFully(in, prevSize);\n/ / \n/ 1079 / byte[] tmp = inbuf;\n/ 1080 / inbuf = previnbuf;\n/ 1081 / previnbuf = tmp;\n/ / } \n/ 1083 / first = false;\n/ / } \n/ / \n/ / \n/ / \n/ / \n/ / \n/ 1090 / if (sin != null) {\n/ 1091 / part = createMimeBodyPartIs(sin.newStream(start, end));\n/ / } else {\n/ / \n/ 1094 / if (prevSize - eolLen > 0) {\n/ 1095 / buf.write(previnbuf, 0, prevSize - eolLen);\n/ / }\n/ / \n/ 1098 / if (!this.complete && inSize > 0)\n/ 1099 / buf.write(inbuf, 0, inSize); \n/ 1100 / part = createMimeBodyPart(headers, buf.toByteArray());\n/ / } \n/ 1102 / super.addBodyPart(part);\n/ / } \n/ 1104 / } catch (IOException ioex) {\n/ 1105 / throw new MessagingException(\"IO Error\", ioex);\n/ / } finally {\n/ / try {\n/ 1108 / in.close();\n/ 1109 / } catch (IOException cex) {}\n/ / } \n/ / \n/ / \n/ / \n/ 1114 / this.parsed = true;\n/ */ }" ]	[ "0.5279069", "0.525259", "0.5061341", "0.5041703", "0.50309575", "0.50063384", "0.49823165", "0.49810588", "0.49731192", "0.49656436", "0.4958633", "0.4953974", "0.49438536", "0.49414033", "0.49140495", "0.48749012", "0.4861589", "0.48481637", "0.48462686", "0.48259175", "0.48117182", "0.48097107", "0.48080423", "0.4801221", "0.4799898", "0.47469553", "0.47413462", "0.4737938", "0.47345525", "0.4734196", "0.4725144", "0.47113085", "0.47066098", "0.469826", "0.46967724", "0.46819478", "0.46786052", "0.46778917", "0.4664136", "0.4652605", "0.46518523", "0.4647664", "0.46425712", "0.46343264", "0.46240938", "0.46222714", "0.46193627", "0.4613344", "0.46066347", "0.45993134", "0.45899487", "0.45885092", "0.45864433", "0.45832813", "0.45792407", "0.45782343", "0.45716378", "0.4569196", "0.45668256", "0.4563263", "0.45567745", "0.45546627", "0.45513153", "0.45505464", "0.4549123", "0.45461646", "0.45432755", "0.4540728", "0.4540474", "0.45371228", "0.45340806", "0.45218998", "0.45202976", "0.4515171", "0.4515086", "0.45076185", "0.45001313", "0.4497401", "0.44922167", "0.4491126", "0.44846207", "0.44832352", "0.44826415", "0.44782406", "0.44764355", "0.447567", "0.4475382", "0.44738495", "0.44700545", "0.44591686", "0.4451615", "0.44514924", "0.4448699", "0.4439755", "0.44261497", "0.44162408", "0.44158283", "0.44136605", "0.44091782", "0.44050658", "0.44038063" ]	0.0	-1
private Constructor prevents any other class from instantiating	private DarthSidious(){ }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "private ATCres() {\r\n // prevent to instantiate this class\r\n }", "private Instantiation(){}", "private SystemInfo() {\r\n // forbid object construction \r\n }", "private Rekenhulp()\n\t{\n\t}", "private Consts(){\n //this prevents even the native class from \n //calling this ctor as well :\n throw new AssertionError();\n }", "private Utils()\n {\n // Private constructor to prevent instantiation\n }", "private QcTestRunner()\n\t{\n\t\t// To prevent external instantiation of this class\n\t}", "private Foo() {\n\t\tSystem.out.println(\"Private Constructor.\");\n\t}", "private Topography()\n\t{\n\t\tthrow new IllegalStateException(\"This is an utility class, it can not be instantiated\");\n\t}", "private TetrisMain() {\r\n //prevents instantiation\r\n }", "Reproducible newInstance();", "private ChainingMethods() {\n // private constructor\n\n }", "private MApi() {}", "private DPSingletonLazyLoading(){\r\n\t\tthrow new RuntimeException();//You can still access private constructor by reflection and calling setAccessible(true)\r\n\t}", "private SimpleRepository() {\n \t\t// private ct to disallow external object creation\n \t}", "private Security() { }", "private InterpreterDependencyChecks() {\r\n\t\t// Hides default constructor\r\n\t}", "private ClassUtil() {}", "private TMCourse() {\n\t}", "private Utils() {\n\t}", "private Utils() {\n\t}", "private Util()\n {\n // Empty default ctor, defined to override access scope.\n }", "private Log()\n {\n //Hides implicit constructor.\n }", "private LOCFacade() {\r\n\r\n\t}", "private CommonMethods() {\n }", "private Driver(){\n }", "private Singleton() {\n\t}", "private TetrisMain() {\r\n //ensure uninstantiability\r\n }", "private Validate(){\n //private empty constructor to prevent object initiation\n }", "private Marinator() {\n }", "private Marinator() {\n }", "private Supervisor() {\r\n\t}", "private Ex() {\n }", "@SuppressWarnings(\"unused\")\r\n\tprivate Person() {\r\n\t}", "private ObjectFactory() { }", "private EagerlySinleton()\n\t{\n\t}", "private SingletonObject() {\n\n\t}", "private ClassProxy() {\n }", "private SingleObject()\r\n {\r\n }", "private TagCacheManager(){\n //AssertionError不是必须的. 但它可以避免不小心在类的内部调用构造器. 保证该类在任何情况下都不会被实例化.\n //see 《Effective Java》 2nd\n throw new AssertionError(\"No \" + getClass().getName() + \" instances for you!\");\n }", "private MigrationInstantiationUtil() {\n\t\tthrow new IllegalAccessError();\n\t}", "private Singleton()\n\t\t{\n\t\t}", "private GuiUtils()\r\n {\r\n // Private constructor to prevent instantiation\r\n }", "private void __sep__Constructors__() {}", "private AcceleoLibrariesEclipseUtil() {\n \t\t// hides constructor\n \t}", "private SingleObject(){\n }", "private Cat() {\n\t\t\n\t}", "private Mocks() { }", "private ExampleVersion() {\n throw new UnsupportedOperationException(\"Illegal constructor call.\");\n }", "@Test\n public void testPrivateCtor() throws Exception {\n Constructor<?> privateCtor = Helper.class.getDeclaredConstructors()[0];\n assertTrue(Modifier.isPrivate(privateCtor.getModifiers()));\n privateCtor.setAccessible(true);\n privateCtor.newInstance(new Object[] {});\n }", "private AccessorModels() {\n // Private constructor to prevent instantiation\n }", "private Singleton2A(){\n\t\tif(instance != null){\n\t\t\tthrow new RuntimeException(\"One instance already created cant create other\");\n\t\t}\t\t\n\t\tSystem.out.println(\"I am private constructor\");\n\t}", "private Verify(){\n\t\t// Private constructor to prevent instantiation\n\t}", "private CheckingTools() {\r\n super();\r\n }", "private Driver() {\n\n }", "private FlowExecutorUtils()\r\n {\r\n // Private constructor to prevent instantiation\r\n }", "private Example() {\n\t\tthrow new Error(\"no instantiation is permitted\");\n\t}", "private GeneralServicesImpl() {\r\n\t}", "private Singleton() { }", "public StubPrivateConstructorPair() {\r\n this(null, null);\r\n }", "private WebXmlIo()\n {\n // Voluntarily empty constructor as utility classes should not have a public or default\n // constructor\n }", "@SuppressWarnings(\"unused\")\n private Booking() {\n }", "private PropertiesLoader() {\r\n\t\t// not instantiable\r\n\t}", "private PerksFactory() {\n\n\t}", "private BusquedaMaker() {\n\t\tinit();\n\t}", "private InstanceUtil() {\n }", "public Constructor(){\n\t\t\n\t}", "private Utility() {\n throw new IllegalAccessError();\n }", "private UtilityKlasse() {\n\n }", "private Utility() {\n\t}", "private Utils() {\n }", "private Utils() {\n }", "private Utils() {\n }", "private Utils() {\n }", "private Utils() {\n }", "private PermissionUtil() {\n throw new IllegalStateException(\"you can't instantiate PermissionUtil!\");\n }", "@SuppressWarnings(\"unused\")\n public NoConstructor() {\n // Empty\n }", "private Terms(){\n\t\t //this prevents even the native class from calling this ctor as well :\n\t\t throw new AssertionError();\n\t\t }", "protected abstract void construct();", "private SerializerFactory() {\n // do nothing\n }", "private JsonUtils()\r\n {\r\n // Private constructor to prevent instantiation\r\n }", "private BookReader() {\n\t}", "private A(){\n System.out.println(\"Instance created\");\n }", "defaultConstructor(){}", "private FactoryCacheValet() {\n\t\tsuper();\n\t}", "private Utils() {}", "private Utils() {}", "private Utils() {}", "private Utils() {}", "private Help() {\n // hidden constructor\n }", "private SupplierLoaderUtil() {\n\t}", "private Helper() {\r\n // do nothing\r\n }", "private GeoUtil()\n\t{\n\t}", "private ArticleMgr() {\r\n\r\n\t}", "private UserCourseCourse() {\n\t}", "private Board() {\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t// A private board constructor to ensure only one is created\n\t\tsuper();\n\t}", "private ObjectRepository() {\n\t}", "private ClinicFileLoader() {\n\t}", "private Server()\n\t{\n\t}", "private XmlFactory() {\r\n /* no-op */\r\n }" ]	[ "0.80017614", "0.773952", "0.7535203", "0.7526432", "0.7472758", "0.74425983", "0.7437299", "0.74281764", "0.74201393", "0.7386436", "0.7371625", "0.72897553", "0.72327465", "0.72260857", "0.71924967", "0.71858674", "0.7171788", "0.7140228", "0.71332496", "0.7120402", "0.7120402", "0.71148294", "0.7114283", "0.70932376", "0.7083046", "0.70756763", "0.7074331", "0.7068387", "0.7061651", "0.7056622", "0.7056622", "0.7056239", "0.70535964", "0.70499235", "0.7046254", "0.7038165", "0.70267737", "0.702404", "0.7020443", "0.70144445", "0.70021224", "0.69950813", "0.6977176", "0.6973819", "0.69657993", "0.6965582", "0.6965526", "0.69649774", "0.69571334", "0.69387835", "0.693533", "0.6934474", "0.6933134", "0.6931861", "0.69130653", "0.69068027", "0.69043833", "0.6900677", "0.68834686", "0.6882684", "0.68818593", "0.68763536", "0.68763465", "0.6876044", "0.6875411", "0.6871303", "0.686372", "0.68624926", "0.6861427", "0.6858341", "0.6837999", "0.6837999", "0.6837999", "0.6837999", "0.6837999", "0.6834595", "0.6833987", "0.68252224", "0.6823447", "0.68105763", "0.680997", "0.68088245", "0.68038785", "0.6801698", "0.6800176", "0.67926073", "0.67926073", "0.67926073", "0.67926073", "0.67738765", "0.67613846", "0.67586654", "0.67565703", "0.6753984", "0.67530596", "0.67526925", "0.6747125", "0.6743671", "0.6742917", "0.6741711" ]	0.7255375	12
getter for only instance of DarthSidious class	public static DarthSidious getInstance(){ return darthVader; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public IDwelling getDwelling();", "private DarthSidious(){\n }", "Side getSide();", "static Grandson getGrandson() {\n\t\treturn new Grandson();\r\n\t}", "Objet getObjetAlloue();", "public Entity.Spigot spigot() {\n/* 1087 / return this.spigot;\n/ / }", "public Sandwich getSandwich(){\n return new Sandwich();\n }", "@Override\n\tpublic RacingBike get() {\n\t\tSystem.out.println(\"Inside get method of provider class!!!\");\n\t\treturn new ApacheRR310();\n\t}", "@Override\r\n\tpublic Dinero getDinero() {\n\t\treturn super.getDinero();\r\n\t}", "static Football getFootBall(){\n return new Football();\n }", "public String getDishOfTheDay(){\n return dishOfTheDay;\n }", "RatSightingManager getSightingManager() {return sightingManager;}", "public THING get() {\n return directlyGet();\n }", "private Get() {}", "private Get() {}", "public Village getVillage() {\n/ 501 / return this.village;\n/ / }", "public static Animal getAnimal() {//object of type animal and calling this method in app.javsa\n return new Dog();\n}", "@Override\n Derived get();", "public abstract Alliance getAlliance();", "public int getDwellingID();", "Player getDormantPlayer();", "public boolean getIsAnimal()\r\n/ 34: / {\r\n/ 35:53 / return this.isAnimal;\r\n/ 36: / }", "public AbstraktesSpielfeld getSpielfeld() {\n // Hier ein Spielfeld-Objekt erzeugen und zurückliefern.\n return new Spielfeld();\n }", "public abstract String get();", "Object getClass_();", "Object getClass_();", "public Animal getSIP(){\n return sIP;\n }", "public Building getBuilding();", "public Theater getTheater() { return theater; }", "@Override\n\t/\n\t returns a false because a class cannot be static\n\t * \n\t * @return false\n\t /\n\tpublic boolean getStatic() {\n\t\treturn false;\n\t}", "@SuppressWarnings(\"unchecked\")\n\tpublic U accessObject()\n\t{\n\t\treturn (primaryKey == null)?(null):\n\t\t (U)bean(GetUnity.class).getUnited(primaryKey);\n\t}", "public Object getThing() {\r\n\t\treturn myThing;\r\n\t}", "public Spielflaeche getSpielflaeche() {return spielflaeche;}", "Mitarbeiter getMitarbeiter();", "Doctor getDoctor();", "public String getGodClass()\r\n {\r\n return mGodClass;\r\n }", "public abstract int getDy();", "public D getD()\n {\n return new DImpl2();\n }", "public org.omg.uml.behavioralelements.commonbehavior.Instance getInstance();", "public Person getDoctor(){\n return doctor;\n }", "@Override\r\npublic String getCelestialClassification() {\n\treturn \"DwarfPlanets\";\r\n}", "public BowlingGame getGame();", "public int getLiving(){\n return living;\n }", "HAPartition getHAPartition();", "int getIdInstance();", "protected T getManusia(){\r\n return Manusia;\r\n }", "public abstract java.lang.String getNovedad();", "public abstract Object mo1771a();", "public abstract int getDx();", "@Override\n\t\tpublic Object getInstance() {\n\t\t\treturn null;\n\t\t}", "public abstract String getNomClasse();", "public Dice getDice(){\r\n\t\treturn dieClass;\r\n\t}", "public fbg method_2835() {\n return this.field_1654;\n }", "public int getClase() {return clase;}", "public abstract Member mo23408O();", "private Spaceship getTheSpaceship() {\n\t\tfor(GameObject object : gameObject)\n\t\t\tif(object instanceof Spaceship)\n\t\t\t\treturn (Spaceship) object;\n\t\treturn null;\n\t}", "protected Director getDirector() {\n\treturn director;\n }", "Object mo6080c() {\n return this.f2347q;\n }", "public Hero getHero();", "public UUID getSoul() {\n return soul;\n }", "public String getSex(){ //\"public\" access allows other classes to retrieve the value of \"sex\", but since there\n // is no setter it cannot be changed from outside the class = Encapsulation/Inkapsling\n return this.sex;\n }", "public Class getInstanceClass()\n {\n return _cl;\n }", "@Override\n public T getInstance() {\n return instance;\n }", "int getDame();", "public RPGClass getData() {\n return classData;\n }", "@Override\n public Side getSide() {\n return aircraftId.getSide();\n }", "public Object getObject() ;", "public Building getRoof();", "public abstract Station getStation(int stationId) throws DataAccessException;", "DrbdResource getDrbdResource() {\n return (DrbdResource) getResource();\n }", "public Class<?> getCreatureClass()\r\n/ 19: / {\r\n/ 20:37 / return this.e;\r\n/ 21: / }", "public static SingleObject getInstance(){\n return instance;\n }", "DataTypeInstance getDataInstance();", "protected EClass eStaticClass()\n {\n return SDOPackage.eINSTANCE.getDataObject();\n }", "public abstract Tenor getTenor();", "public static Player getArtist(){return artist;}", "public Player getPlayer();", "public Player getPlayer();", "public abstract Class<? extends Tower> getTower();", "DomainHelper dh();", "public abstract Object mo26777y();", "String getInstance()\n {\n return instance;\n }", "private stendhal() {\n\t}", "protected Space getSpace() {\n return space;\n }", "@Override\n public void get() {}", "private Fight() { }", "abstract public GameElement getGameElement();", "public Dalek getPlayer() {\n return dalek;\n }", "static public int getGUEST() {\n return 2;\n }", "public BIG getS(){return S;}", "default DataType getDataType(DataTypeName id) {return (DataType)this;}", "public Square getCircleSquare(){\n return circleSquare;\n }", "String getInstanceOfClass();", "public TipoDiscapacidad getTipoDiscapacidad()\r\n/ 224: / {\r\n/ 225:410 / return this.tipoDiscapacidad;\r\n/ 226: */ }", "public DSC getDSC() { \r\n return getTyped(\"DSC\", DSC.class);\r\n }", "public Object get(Class cl, int id) throws HibException;", "public House getHouse() {\r\n return this.house;\r\n }", "Restaurant getRestaurant();", "public static Physics getInstance(){\n return instance;\n }", "public abstract Koordinate schuss();" ]	[ "0.63295066", "0.59876025", "0.58947915", "0.5889561", "0.5887581", "0.5855537", "0.5829701", "0.5766001", "0.5708671", "0.57043225", "0.5698069", "0.5686062", "0.5679375", "0.56519115", "0.56519115", "0.5626779", "0.56241184", "0.56071997", "0.56006664", "0.55988187", "0.5595276", "0.55731356", "0.5566233", "0.5561087", "0.5554677", "0.5554677", "0.55506885", "0.5533033", "0.55318207", "0.552834", "0.55257535", "0.55252767", "0.5523041", "0.55192107", "0.54859203", "0.54826796", "0.5442651", "0.5435478", "0.54191035", "0.5418133", "0.54174834", "0.54155403", "0.54074013", "0.5401813", "0.5394769", "0.53818166", "0.53788215", "0.5371097", "0.5365039", "0.5362877", "0.5358993", "0.53400594", "0.53256434", "0.5319294", "0.53190416", "0.53179437", "0.53161836", "0.5313708", "0.5310307", "0.53102505", "0.53045934", "0.5304077", "0.53004235", "0.52989197", "0.5287949", "0.52847534", "0.52703524", "0.5268349", "0.52649474", "0.5259438", "0.5259302", "0.5258033", "0.52564275", "0.5252601", "0.52448463", "0.52401686", "0.52333236", "0.52333236", "0.52229935", "0.52181584", "0.52138454", "0.52094185", "0.5205895", "0.52053607", "0.52045655", "0.51997024", "0.5196805", "0.5196798", "0.51943034", "0.5190209", "0.51825964", "0.51781857", "0.5176891", "0.51743186", "0.5172896", "0.51724833", "0.51699275", "0.51665175", "0.51664054", "0.5163836" ]	0.72616744	0
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	public AccountbaseExample() { oredCriteria = new ArrayList<Criteria>(); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "List<BookAccount> findAllForAccount(long idAccount);", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "ShopAccount selectByPrimaryKey(Integer spAccount);", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "List<TmpUserPayAccount> selectAll();", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "Account getAccount();", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "Account selectByPrimaryKey(Long accountid);", "@Override\n public void insertAccount() throws Exception {\n\n }", "CusBankAccount selectByPrimaryKey(Integer id);", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "List<BaseUser> selectAll();", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "UserAccount getUserAccountById(long id);", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63370925", "0.59401995", "0.59247136", "0.58860064", "0.5848123", "0.5838011", "0.5804715", "0.57592267", "0.56938213", "0.5672943", "0.561452", "0.5551468", "0.5530007", "0.5510531", "0.5508437", "0.5496618", "0.5487935", "0.5487935", "0.54807854", "0.54639655", "0.54388756", "0.54376763", "0.5432678", "0.5425689", "0.54176384", "0.5412758", "0.5409755", "0.5388527", "0.53726774", "0.5366342", "0.53645974", "0.5339176", "0.533262", "0.53286785", "0.5315715", "0.53065825", "0.5300575", "0.5292796", "0.5291495", "0.52862376", "0.52832884", "0.52770823", "0.52648836", "0.52639544", "0.52634907", "0.5255791", "0.5229644", "0.5225831", "0.5225129", "0.5220116", "0.52143365", "0.5207876", "0.5194146", "0.5193519", "0.51890355", "0.51878005", "0.5182008", "0.5174436", "0.51739615", "0.5172682", "0.51639783", "0.51592344", "0.5153796", "0.51425576", "0.5141624", "0.5135483", "0.51319176", "0.51248026", "0.5118856", "0.5118856", "0.5117468", "0.5115756", "0.51152503", "0.5114651", "0.5110927", "0.51077265", "0.50971913", "0.50904787", "0.5087814", "0.5083287", "0.50810343", "0.50802886", "0.50794744", "0.5077352", "0.50766635", "0.507403", "0.5072393", "0.50708824", "0.5063226", "0.5061754", "0.5059777", "0.50593245", "0.5058901", "0.5058375", "0.50538814", "0.5052194", "0.5049568", "0.5048744", "0.5046504", "0.5041666", "0.5033751" ]	0.0	-1
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	public void setOrderByClause(String orderByClause) { this.orderByClause = orderByClause; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "List<BookAccount> findAllForAccount(long idAccount);", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "ShopAccount selectByPrimaryKey(Integer spAccount);", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "List<TmpUserPayAccount> selectAll();", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "Account getAccount();", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "Account selectByPrimaryKey(Long accountid);", "@Override\n public void insertAccount() throws Exception {\n\n }", "CusBankAccount selectByPrimaryKey(Integer id);", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "List<BaseUser> selectAll();", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "UserAccount getUserAccountById(long id);", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63370925", "0.59401995", "0.59247136", "0.58860064", "0.5848123", "0.5838011", "0.5804715", "0.57592267", "0.56938213", "0.5672943", "0.561452", "0.5551468", "0.5530007", "0.5510531", "0.5508437", "0.5496618", "0.5487935", "0.5487935", "0.54807854", "0.54639655", "0.54388756", "0.54376763", "0.5432678", "0.5425689", "0.54176384", "0.5412758", "0.5409755", "0.5388527", "0.53726774", "0.5366342", "0.53645974", "0.5339176", "0.533262", "0.53286785", "0.5315715", "0.53065825", "0.5300575", "0.5292796", "0.5291495", "0.52862376", "0.52832884", "0.52770823", "0.52648836", "0.52639544", "0.52634907", "0.5255791", "0.5229644", "0.5225831", "0.5225129", "0.5220116", "0.52143365", "0.5207876", "0.5194146", "0.5193519", "0.51890355", "0.51878005", "0.5182008", "0.5174436", "0.51739615", "0.5172682", "0.51639783", "0.51592344", "0.5153796", "0.51425576", "0.5141624", "0.5135483", "0.51319176", "0.51248026", "0.5118856", "0.5118856", "0.5117468", "0.5115756", "0.51152503", "0.5114651", "0.5110927", "0.51077265", "0.50971913", "0.50904787", "0.5087814", "0.5083287", "0.50810343", "0.50802886", "0.50794744", "0.5077352", "0.50766635", "0.507403", "0.5072393", "0.50708824", "0.5063226", "0.5061754", "0.5059777", "0.50593245", "0.5058901", "0.5058375", "0.50538814", "0.5052194", "0.5049568", "0.5048744", "0.5046504", "0.5041666", "0.5033751" ]	0.0	-1
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	public String getOrderByClause() { return orderByClause; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "List<BookAccount> findAllForAccount(long idAccount);", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "ShopAccount selectByPrimaryKey(Integer spAccount);", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "List<TmpUserPayAccount> selectAll();", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "Account getAccount();", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "Account selectByPrimaryKey(Long accountid);", "@Override\n public void insertAccount() throws Exception {\n\n }", "CusBankAccount selectByPrimaryKey(Integer id);", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "List<BaseUser> selectAll();", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "UserAccount getUserAccountById(long id);", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63371223", "0.59390783", "0.5923802", "0.58866423", "0.5848204", "0.58397186", "0.5804929", "0.5758779", "0.5694896", "0.5674712", "0.5614868", "0.5551139", "0.5530871", "0.55122644", "0.55091876", "0.5495863", "0.5489697", "0.5489697", "0.54818004", "0.5464711", "0.5438731", "0.54364824", "0.5433815", "0.54261595", "0.5418729", "0.5414778", "0.5409652", "0.53900343", "0.5374019", "0.5367303", "0.5364356", "0.5339496", "0.53341216", "0.5329415", "0.53155917", "0.53079206", "0.5301612", "0.5292949", "0.5292396", "0.5286131", "0.5283188", "0.5277992", "0.52669203", "0.52640015", "0.52629584", "0.52564037", "0.52310187", "0.52262115", "0.522552", "0.5218807", "0.5214729", "0.52083683", "0.5195903", "0.5194689", "0.51904243", "0.5188311", "0.51832753", "0.51755005", "0.51738995", "0.517297", "0.51648474", "0.5158493", "0.5154217", "0.5144041", "0.5141519", "0.51364803", "0.5133527", "0.5126345", "0.511935", "0.51190597", "0.51190597", "0.51164263", "0.51154315", "0.5115293", "0.51117945", "0.5108328", "0.50962806", "0.50922877", "0.50890017", "0.50850856", "0.5080106", "0.5079838", "0.50796825", "0.50780064", "0.50761425", "0.507357", "0.50728", "0.507071", "0.50643915", "0.5062157", "0.50596565", "0.5059244", "0.50587606", "0.5058371", "0.5053003", "0.5049836", "0.50498223", "0.5049707", "0.50479543", "0.50431436", "0.5034407" ]	0.0	-1
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	public void setDistinct(boolean distinct) { this.distinct = distinct; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "List<BookAccount> findAllForAccount(long idAccount);", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "ShopAccount selectByPrimaryKey(Integer spAccount);", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "List<TmpUserPayAccount> selectAll();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "Account getAccount();", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "Account selectByPrimaryKey(Long accountid);", "CusBankAccount selectByPrimaryKey(Integer id);", "@Override\n public void insertAccount() throws Exception {\n\n }", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "List<BaseUser> selectAll();", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "UserAccount getUserAccountById(long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63358784", "0.5940752", "0.5922731", "0.5884708", "0.5845648", "0.5837492", "0.580378", "0.5758849", "0.56921744", "0.5672213", "0.5612851", "0.5550944", "0.552817", "0.5508899", "0.55056953", "0.54970205", "0.5486497", "0.5486497", "0.54784757", "0.54612124", "0.54363704", "0.54360104", "0.5429706", "0.54239213", "0.5415958", "0.541079", "0.54064244", "0.53857523", "0.5372722", "0.53655416", "0.53627795", "0.53364307", "0.5330835", "0.5326282", "0.5314094", "0.53033537", "0.5297426", "0.5290927", "0.52908784", "0.5283819", "0.52813077", "0.5275725", "0.5264297", "0.5263345", "0.526224", "0.52528733", "0.5228059", "0.52233267", "0.52227116", "0.52202463", "0.5212857", "0.52045286", "0.5191631", "0.5191567", "0.51867545", "0.51866686", "0.5178739", "0.5172059", "0.51713514", "0.51700455", "0.5162962", "0.5155679", "0.5152413", "0.5141311", "0.5140958", "0.51344264", "0.5131196", "0.51233417", "0.5116624", "0.5116624", "0.51157224", "0.51134026", "0.5112932", "0.51129", "0.5110201", "0.5104633", "0.50968593", "0.5087962", "0.5087229", "0.50817174", "0.5081173", "0.50777185", "0.50774693", "0.5076878", "0.5075117", "0.5072502", "0.5071903", "0.5069945", "0.5061529", "0.5060216", "0.5060037", "0.50584847", "0.5057768", "0.505628", "0.5055961", "0.505043", "0.5050294", "0.5047429", "0.5045976", "0.50391436", "0.50309014" ]	0.0	-1
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	public boolean isDistinct() { return distinct; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "List<BookAccount> findAllForAccount(long idAccount);", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "ShopAccount selectByPrimaryKey(Integer spAccount);", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "List<TmpUserPayAccount> selectAll();", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "Account getAccount();", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "Account selectByPrimaryKey(Long accountid);", "@Override\n public void insertAccount() throws Exception {\n\n }", "CusBankAccount selectByPrimaryKey(Integer id);", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "List<BaseUser> selectAll();", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "UserAccount getUserAccountById(long id);", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63370925", "0.59401995", "0.59247136", "0.58860064", "0.5848123", "0.5838011", "0.5804715", "0.57592267", "0.56938213", "0.5672943", "0.561452", "0.5551468", "0.5530007", "0.5510531", "0.5508437", "0.5496618", "0.5487935", "0.5487935", "0.54807854", "0.54639655", "0.54388756", "0.54376763", "0.5432678", "0.5425689", "0.54176384", "0.5412758", "0.5409755", "0.5388527", "0.53726774", "0.5366342", "0.53645974", "0.5339176", "0.533262", "0.53286785", "0.5315715", "0.53065825", "0.5300575", "0.5292796", "0.5291495", "0.52862376", "0.52832884", "0.52770823", "0.52648836", "0.52639544", "0.52634907", "0.5255791", "0.5229644", "0.5225831", "0.5225129", "0.5220116", "0.52143365", "0.5207876", "0.5194146", "0.5193519", "0.51890355", "0.51878005", "0.5182008", "0.5174436", "0.51739615", "0.5172682", "0.51639783", "0.51592344", "0.5153796", "0.51425576", "0.5141624", "0.5135483", "0.51319176", "0.51248026", "0.5118856", "0.5118856", "0.5117468", "0.5115756", "0.51152503", "0.5114651", "0.5110927", "0.51077265", "0.50971913", "0.50904787", "0.5087814", "0.5083287", "0.50810343", "0.50802886", "0.50794744", "0.5077352", "0.50766635", "0.507403", "0.5072393", "0.50708824", "0.5063226", "0.5061754", "0.5059777", "0.50593245", "0.5058901", "0.5058375", "0.50538814", "0.5052194", "0.5049568", "0.5048744", "0.5046504", "0.5041666", "0.5033751" ]	0.0	-1
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	public List<Criteria> getOredCriteria() { return oredCriteria; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "List<BookAccount> findAllForAccount(long idAccount);", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "ShopAccount selectByPrimaryKey(Integer spAccount);", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "List<TmpUserPayAccount> selectAll();", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "Account getAccount();", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "Account selectByPrimaryKey(Long accountid);", "@Override\n public void insertAccount() throws Exception {\n\n }", "CusBankAccount selectByPrimaryKey(Integer id);", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "List<BaseUser> selectAll();", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "UserAccount getUserAccountById(long id);", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63370925", "0.59401995", "0.59247136", "0.58860064", "0.5848123", "0.5838011", "0.5804715", "0.57592267", "0.56938213", "0.5672943", "0.561452", "0.5551468", "0.5530007", "0.5510531", "0.5508437", "0.5496618", "0.5487935", "0.5487935", "0.54807854", "0.54639655", "0.54388756", "0.54376763", "0.5432678", "0.5425689", "0.54176384", "0.5412758", "0.5409755", "0.5388527", "0.53726774", "0.5366342", "0.53645974", "0.5339176", "0.533262", "0.53286785", "0.5315715", "0.53065825", "0.5300575", "0.5292796", "0.5291495", "0.52862376", "0.52832884", "0.52770823", "0.52648836", "0.52639544", "0.52634907", "0.5255791", "0.5229644", "0.5225831", "0.5225129", "0.5220116", "0.52143365", "0.5207876", "0.5194146", "0.5193519", "0.51890355", "0.51878005", "0.5182008", "0.5174436", "0.51739615", "0.5172682", "0.51639783", "0.51592344", "0.5153796", "0.51425576", "0.5141624", "0.5135483", "0.51319176", "0.51248026", "0.5118856", "0.5118856", "0.5117468", "0.5115756", "0.51152503", "0.5114651", "0.5110927", "0.51077265", "0.50971913", "0.50904787", "0.5087814", "0.5083287", "0.50810343", "0.50802886", "0.50794744", "0.5077352", "0.50766635", "0.507403", "0.5072393", "0.50708824", "0.5063226", "0.5061754", "0.5059777", "0.50593245", "0.5058901", "0.5058375", "0.50538814", "0.5052194", "0.5049568", "0.5048744", "0.5046504", "0.5041666", "0.5033751" ]	0.0	-1
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	public void or(Criteria criteria) { oredCriteria.add(criteria); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "List<BookAccount> findAllForAccount(long idAccount);", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "ShopAccount selectByPrimaryKey(Integer spAccount);", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "List<TmpUserPayAccount> selectAll();", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "Account getAccount();", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "Account selectByPrimaryKey(Long accountid);", "@Override\n public void insertAccount() throws Exception {\n\n }", "CusBankAccount selectByPrimaryKey(Integer id);", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "List<BaseUser> selectAll();", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "UserAccount getUserAccountById(long id);", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63371223", "0.59390783", "0.5923802", "0.58866423", "0.5848204", "0.58397186", "0.5804929", "0.5758779", "0.5694896", "0.5674712", "0.5614868", "0.5551139", "0.5530871", "0.55122644", "0.55091876", "0.5495863", "0.5489697", "0.5489697", "0.54818004", "0.5464711", "0.5438731", "0.54364824", "0.5433815", "0.54261595", "0.5418729", "0.5414778", "0.5409652", "0.53900343", "0.5374019", "0.5367303", "0.5364356", "0.5339496", "0.53341216", "0.5329415", "0.53155917", "0.53079206", "0.5301612", "0.5292949", "0.5292396", "0.5286131", "0.5283188", "0.5277992", "0.52669203", "0.52640015", "0.52629584", "0.52564037", "0.52310187", "0.52262115", "0.522552", "0.5218807", "0.5214729", "0.52083683", "0.5195903", "0.5194689", "0.51904243", "0.5188311", "0.51832753", "0.51755005", "0.51738995", "0.517297", "0.51648474", "0.5158493", "0.5154217", "0.5144041", "0.5141519", "0.51364803", "0.5133527", "0.5126345", "0.511935", "0.51190597", "0.51190597", "0.51164263", "0.51154315", "0.5115293", "0.51117945", "0.5108328", "0.50962806", "0.50922877", "0.50890017", "0.50850856", "0.5080106", "0.5079838", "0.50796825", "0.50780064", "0.50761425", "0.507357", "0.50728", "0.507071", "0.50643915", "0.5062157", "0.50596565", "0.5059244", "0.50587606", "0.5058371", "0.5053003", "0.5049836", "0.50498223", "0.5049707", "0.50479543", "0.50431436", "0.5034407" ]	0.0	-1
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	public Criteria or() { Criteria criteria = createCriteriaInternal(); oredCriteria.add(criteria); return criteria; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "List<BookAccount> findAllForAccount(long idAccount);", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "ShopAccount selectByPrimaryKey(Integer spAccount);", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "List<TmpUserPayAccount> selectAll();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "Account getAccount();", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "Account selectByPrimaryKey(Long accountid);", "CusBankAccount selectByPrimaryKey(Integer id);", "@Override\n public void insertAccount() throws Exception {\n\n }", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "List<BaseUser> selectAll();", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "UserAccount getUserAccountById(long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63358784", "0.5940752", "0.5922731", "0.5884708", "0.5845648", "0.5837492", "0.580378", "0.5758849", "0.56921744", "0.5672213", "0.5612851", "0.5550944", "0.552817", "0.5508899", "0.55056953", "0.54970205", "0.5486497", "0.5486497", "0.54784757", "0.54612124", "0.54363704", "0.54360104", "0.5429706", "0.54239213", "0.5415958", "0.541079", "0.54064244", "0.53857523", "0.5372722", "0.53655416", "0.53627795", "0.53364307", "0.5330835", "0.5326282", "0.5314094", "0.53033537", "0.5297426", "0.5290927", "0.52908784", "0.5283819", "0.52813077", "0.5275725", "0.5264297", "0.5263345", "0.526224", "0.52528733", "0.5228059", "0.52233267", "0.52227116", "0.52202463", "0.5212857", "0.52045286", "0.5191631", "0.5191567", "0.51867545", "0.51866686", "0.5178739", "0.5172059", "0.51713514", "0.51700455", "0.5162962", "0.5155679", "0.5152413", "0.5141311", "0.5140958", "0.51344264", "0.5131196", "0.51233417", "0.5116624", "0.5116624", "0.51157224", "0.51134026", "0.5112932", "0.51129", "0.5110201", "0.5104633", "0.50968593", "0.5087962", "0.5087229", "0.50817174", "0.5081173", "0.50777185", "0.50774693", "0.5076878", "0.5075117", "0.5072502", "0.5071903", "0.5069945", "0.5061529", "0.5060216", "0.5060037", "0.50584847", "0.5057768", "0.505628", "0.5055961", "0.505043", "0.5050294", "0.5047429", "0.5045976", "0.50391436", "0.50309014" ]	0.0	-1
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	public Criteria createCriteria() { Criteria criteria = createCriteriaInternal(); if (oredCriteria.size() == 0) { oredCriteria.add(criteria); } return criteria; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "List<BookAccount> findAllForAccount(long idAccount);", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "ShopAccount selectByPrimaryKey(Integer spAccount);", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "List<TmpUserPayAccount> selectAll();", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "Account getAccount();", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "Account selectByPrimaryKey(Long accountid);", "@Override\n public void insertAccount() throws Exception {\n\n }", "CusBankAccount selectByPrimaryKey(Integer id);", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "List<BaseUser> selectAll();", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "UserAccount getUserAccountById(long id);", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63370925", "0.59401995", "0.59247136", "0.58860064", "0.5848123", "0.5838011", "0.5804715", "0.57592267", "0.56938213", "0.5672943", "0.561452", "0.5551468", "0.5530007", "0.5510531", "0.5508437", "0.5496618", "0.5487935", "0.5487935", "0.54807854", "0.54639655", "0.54388756", "0.54376763", "0.5432678", "0.5425689", "0.54176384", "0.5412758", "0.5409755", "0.5388527", "0.53726774", "0.5366342", "0.53645974", "0.5339176", "0.533262", "0.53286785", "0.5315715", "0.53065825", "0.5300575", "0.5292796", "0.5291495", "0.52862376", "0.52832884", "0.52770823", "0.52648836", "0.52639544", "0.52634907", "0.5255791", "0.5229644", "0.5225831", "0.5225129", "0.5220116", "0.52143365", "0.5207876", "0.5194146", "0.5193519", "0.51890355", "0.51878005", "0.5182008", "0.5174436", "0.51739615", "0.5172682", "0.51639783", "0.51592344", "0.5153796", "0.51425576", "0.5141624", "0.5135483", "0.51319176", "0.51248026", "0.5118856", "0.5118856", "0.5117468", "0.5115756", "0.51152503", "0.5114651", "0.5110927", "0.51077265", "0.50971913", "0.50904787", "0.5087814", "0.5083287", "0.50810343", "0.50802886", "0.50794744", "0.5077352", "0.50766635", "0.507403", "0.5072393", "0.50708824", "0.5063226", "0.5061754", "0.5059777", "0.50593245", "0.5058901", "0.5058375", "0.50538814", "0.5052194", "0.5049568", "0.5048744", "0.5046504", "0.5041666", "0.5033751" ]	0.0	-1
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	protected Criteria createCriteriaInternal() { Criteria criteria = new Criteria(); return criteria; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "List<BookAccount> findAllForAccount(long idAccount);", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "ShopAccount selectByPrimaryKey(Integer spAccount);", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "List<TmpUserPayAccount> selectAll();", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "Account getAccount();", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "Account selectByPrimaryKey(Long accountid);", "@Override\n public void insertAccount() throws Exception {\n\n }", "CusBankAccount selectByPrimaryKey(Integer id);", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "List<BaseUser> selectAll();", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "UserAccount getUserAccountById(long id);", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63370925", "0.59401995", "0.59247136", "0.58860064", "0.5848123", "0.5838011", "0.5804715", "0.57592267", "0.56938213", "0.5672943", "0.561452", "0.5551468", "0.5530007", "0.5510531", "0.5508437", "0.5496618", "0.5487935", "0.5487935", "0.54807854", "0.54639655", "0.54388756", "0.54376763", "0.5432678", "0.5425689", "0.54176384", "0.5412758", "0.5409755", "0.5388527", "0.53726774", "0.5366342", "0.53645974", "0.5339176", "0.533262", "0.53286785", "0.5315715", "0.53065825", "0.5300575", "0.5292796", "0.5291495", "0.52862376", "0.52832884", "0.52770823", "0.52648836", "0.52639544", "0.52634907", "0.5255791", "0.5229644", "0.5225831", "0.5225129", "0.5220116", "0.52143365", "0.5207876", "0.5194146", "0.5193519", "0.51890355", "0.51878005", "0.5182008", "0.5174436", "0.51739615", "0.5172682", "0.51639783", "0.51592344", "0.5153796", "0.51425576", "0.5141624", "0.5135483", "0.51319176", "0.51248026", "0.5118856", "0.5118856", "0.5117468", "0.5115756", "0.51152503", "0.5114651", "0.5110927", "0.51077265", "0.50971913", "0.50904787", "0.5087814", "0.5083287", "0.50810343", "0.50802886", "0.50794744", "0.5077352", "0.50766635", "0.507403", "0.5072393", "0.50708824", "0.5063226", "0.5061754", "0.5059777", "0.50593245", "0.5058901", "0.5058375", "0.50538814", "0.5052194", "0.5049568", "0.5048744", "0.5046504", "0.5041666", "0.5033751" ]	0.0	-1
This method was generated by MyBatis Generator. This method corresponds to the database table AccountBase	public void clear() { oredCriteria.clear(); orderByClause = null; distinct = false; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@SqlQuery(\"select * from account\")\r\n public List<accountDB> get();", "@MyBatisRepository\r\npublic interface BackRoleDao extends BaseDao<BackRole> {\r\n}", "public abstract AccountDAO getAccountDAO();", "public BankAccount findAccountById(int currentBankID) throws SQLException;", "public abstract int getAccountType();", "@Query(\"select a from Account a\")\n List<Account> getAllAccount();", "public GenericDao<Account> getAccountDao();", "public interface AccountService extends BaseDao<Account>{\n}", "public List<Account> getAccountByType() throws Exception{\n Session session= sessionFactory.getCurrentSession();\n List<Account> accountList= session.createQuery(\"select account_type, COUNT(account_no) from Account group by account_type\").list();\n return accountList;\n }", "@Query(\"select a from Account a\")\n List<Account> getAllAccounts();", "public interface AccountDao {\n int insert(Account account);\n\n Account queryAccountById(Long id);\n\n Account findAccount(Account account);\n\n Account queryAccountByMobile(Long mobile);\n\n Account queryAccountByEmail(String email);\n\n void update(Account account);\n\n void resetPassword(Account account);\n}", "Table getBaseTable();", "public interface AccountDao {\n\t\n\t/*\n\t Gets the list of Accounts based on the criteria passed as parameter\n\t * @param map a key value pair map used as criteria\n\t * @return List of {@link Account} satisfying the criteria\n\t * @throws DaoException\n\t /\n\tList<Account> getAccountsBasedOnCriteria(Map<String, Object> map) throws DaoException;\n\t\n\t/\n\t Get the {@link Account} object based on its accountNumber\n\t * @param accountNumber\n\t * @return\n\t * @throws DaoException\n\t /\n\tAccount getAccountByAccountNumber(Integer accountNumber) throws DaoException;\n\t\n\t/\n\t Update {@link Account}\n\t * @param account {@link Account} object needs to be updated\n\t * @throws DaoException\n\t /\n\tvoid update(Account account) throws DaoException;\n}", "@Query(\"select ad from AccountDetail ad\")\n List<AccountDetail> getAllAccounts();", "public AccountsRecord() {\n super(Accounts.ACCOUNTS);\n }", "public interface UserDao extends SqlObject {\n\n @SqlQuery(\"SELECT account_code FROM users WHERE email = ?\")\n String getAccountCode(String email);\n\n @SqlQuery(\"SELECT id, email, account_code FROM users WHERE id = ?\")\n @RegisterBeanMapper(User.class)\n User getUserById(Integer userId);\n}", "List<Account> findAll();", "List<Account> findAll();", "@Override\n\tpublic List<Account> findAllAccounts() {\n\t\treturn m_accountDao.findAll();\n\t}", "public void createAccountTable() throws SQLException {\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\t// Prüfung, ob Tabelle bereits besteht\r\n\t\tResultSet resultSet = connection.getMetaData().getTables(\"%\", \"%\", \"%\", new String[] { \"TABLE\" });\r\n\t\tboolean shouldCreateTable = true;\r\n\t\twhile (resultSet.next() && shouldCreateTable) {\r\n\t\t\tif (resultSet.getString(\"TABLE_NAME\").equalsIgnoreCase(\"ACCOUNT\")) {\r\n\t\t\t\tshouldCreateTable = false;\r\n\t\t\t}\r\n\t\t}\r\n\t\tresultSet.close();\r\n\r\n\t\tif (shouldCreateTable) {\r\n\t\t\tStatement statement = connection.createStatement();\r\n\t\t\tString sql = \"CREATE table account (id int not null primary key, owner varchar(\"\r\n\t\t\t\t\t+ DatabaseAdministration.ownerLength + \") not null, number varchar(4) not null)\";\r\n\t\t\t// Tabelle wird erstellt\r\n\t\t\tstatement.execute(sql);\r\n\t\t\tstatement.close();\r\n\t\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\t\tlogger.info(\"Tabelle \\\"Account\\\" wurde erstellt.\");\r\n\t\t\tbankAccountExists = false;\r\n\t\t\t// Das Bank-Konto wird angelegt\r\n\t\t\taddAccount(\"0000\", \"BANK\", BigDecimal.ZERO);\r\n\t\t\tbankAccountExists = true;\r\n\t\t}\r\n\t\tconnection.close();\r\n\t}", "@Override\r\n\tpublic Account loadAccount(String accountNumber) {\n\t\tAccount account1=null;\r\n\t\ttry {\r\n\t\t\taccount1 = account.getclone(account);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO Auto-generated catch block\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tString sql = \"SELECT a.accountNumber, a.balance, a.accountType, b.name, b.email, c.street, c.city, c.zip, c.state \"+\r\n \"FROM customer b \"+\r\n \"INNER JOIN address c \"+\r\n \"ON b.addressID = c.ID \"+\r\n \"INNER JOIN account a \"+\r\n \"ON b.ID = a.CustomerID \"+\r\n\t\t\"WHERE a.accountNumber = \"+accountNumber+\";\" ;\r\n\t\tPreparedStatement preparedStatement;\r\n\r\n\r\n\r\ntry {\r\n\r\n\tpreparedStatement = con.prepareStatement(sql);\r\n\t\r\n\t\r\n ResultSet rs=preparedStatement.executeQuery();\r\n\r\n\r\n while ( rs.next() ) {\r\n \taccount1.setAccountNumber(Integer.toString(rs.getInt(1)));\r\n \taccount1.setBalance((double) rs.getInt(2));\r\n \tAccountType accty=BankAccountType.CHECKING;\r\n \tif(\"SAVING\".equalsIgnoreCase(rs.getString(3))){\r\n \t\taccty=BankAccountType.SAVING;\r\n \t}\r\n \taccount1.setAccountType(accty);\r\n \taccount1.getCustomer().setName(rs.getString(4));\r\n \taccount1.getCustomer().setEmail(rs.getString(5));\r\n \taccount1.getCustomer().getAddress().setStreet(rs.getString(6));\r\n \taccount1.getCustomer().getAddress().setCity(rs.getString(7));\r\n \taccount1.getCustomer().getAddress().setZip(rs.getString(8));\r\n \taccount1.getCustomer().getAddress().setState(rs.getString(9));\r\n \taccount1.setAccountEntries(getAccountEntry(accountNumber));\r\n \t\r\n System.out.println(account1);\r\n \r\n }\r\n} catch (SQLException e) {\r\n\t// TODO Auto-generated catch block\r\n\tSystem.out.println(\"Connection Failed! Check output console\");\r\n\te.printStackTrace();\r\n}\r\nlog();\r\n\r\n \r\nreturn account1;\r\n\t}", "@Override\n public String asTableDbName() {\n return \"user\";\n }", "public int getC_BankAccount_ID();", "public interface AccountDao {\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @return Account or null\n /\n Account getAccount(Integer accountNumber);\n\n /\n Get one account with accountNumber\n \n @param accountNumber unique number for account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return Account or null\n /\n Account getAccount(Integer accountNumber, Configuration configuration);\n\n /\n Get all accounts for user with login\n \n @param login unique String key for user\n * @return List of Account or empty List\n /\n List<Account> getAccounts(String login);\n\n /\n Update account\n \n @param account new data to Account\n * @param configuration {@link Configuration} for executing in DB-transaction\n * @return new updated Account\n /\n Account updateAccount(Account account, Configuration configuration);\n\n}", "@Override\npublic Account findById(int accountid) {\n\treturn accountdao.findById(accountid);\n}", "public List<AccountBean> getAllAccounts() {\n\t\tList<AccountBean> accountBeans = null;\n\t\tConnectionSource connectionSource = null;\n\t\tDao<AccountBean, Integer> contactDao = null;\n\n\t\ttry {\n\t\t\tconnectionSource = new AndroidConnectionSource(mDatabase);\n\t\t\tcontactDao = DaoManager.createDao(connectionSource,\n\t\t\t\t\tAccountBean.class);\n\t\t\taccountBeans = contactDao.queryBuilder()\n\t\t\t\t\t.orderBy(IConstants.ORDER_BY_UPDATED_AT, false).query();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn accountBeans;\n\t}", "public JavaaccountModel getaccount(JavaaccountModel oJavaaccountModel){\n\n \t/ Create a new hibernate session and begin the transaction/\n Session hibernateSession = HibernateUtil.getSessionFactory().openSession();\n Transaction hibernateTransaction = hibernateSession.beginTransaction();\n\n / Retrieve the existing account from the database/\n oJavaaccountModel = (JavaaccountModel) hibernateSession.get(JavaaccountModel.class, oJavaaccountModel.getaccountId());\n\n / Commit and terminate the session/\n hibernateTransaction.commit();\n hibernateSession.close();\n return oJavaaccountModel;\n }", "public List<Account> getAccounts() throws SQLException {\r\n\t\tList<Account> accounts = new ArrayList<>();\r\n\t\tConnection connection = dbAdministration.getConnection();\r\n\t\tStatement statement = connection.createStatement();\r\n\t\t// Alle Datensätze der Account-Tabelle abrufen\r\n\t\tString sql = \"SELECT FROM account\";\r\n\t\tResultSet resultSet = statement.executeQuery(sql);\r\n\t\tlogger.info(\"SQL-Statement ausgeführt: \" + sql);\r\n\t\twhile (resultSet.next()) {\r\n\t\t\t// Datensätze in Kontoobjekte umwandeln\r\n\t\t\tint id = resultSet.getInt(1);\r\n\t\t\tString owner = resultSet.getString(2);\r\n\t\t\tString number = resultSet.getString(3);\r\n\t\t\tAccount account = new Account();\r\n\t\t\taccount.setId(id);\r\n\t\t\taccount.setOwner(owner);\r\n\t\t\taccount.setNumber(number);\r\n\t\t\taccount.setTransactions(daTransaction.getTransactionHistory(number));\r\n\t\t\taccounts.add(account);\r\n\t\t}\r\n\t\tresultSet.close();\r\n\t\tstatement.close();\r\n\t\tconnection.close();\r\n\t\treturn accounts;\r\n\t}", "Account findByAccountType(String accountType);", "public interface AccountRepository extends JpaRepository<Account, Integer>{\n}", "@Override\n public Class<AccountRecord> getRecordType() {\n return AccountRecord.class;\n }", "public int getAccountType() {\r\n return accountType;\r\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn accountRepository.findAll();\n\t}", "@Override\r\n\tpublic List<AccountDTO> getAllUser() {\n\t\treturn accountDao.getAll();\r\n\t}", "String getBaseTable();", "public Account(){\n this.id = 0;\n this.balance = 0;\n this.annualInterestRate = 0;\n this.dateCreated = new Date();\n }", "public ResultSet getAllAccounts () throws Exception {\r\n String sql = \"SELECT * FROM `accounts`;\";\r\n return stmt.executeQuery(sql);\r\n }", "@Override\n\tpublic int addAccount(Account account) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"insert into accounts values(default, ?, ?) returning id\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setString(1, account.getType());\n\t\tprepStmt.setDouble(2, account.getBalance());\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tint id = 0;\n\t\twhile(rs.next()) {\n\t\t\tid = rs.getInt(1);\n\t\t}\n\t\treturn id;\n\t}", "public interface AccountRepository extends JpaRepository<Account, String> {\n}", "public interface AccountDao {\n\n /*\n Retrieve a specific bank account by id\n \n @param id the account id to retrieve\n * @return Account object representing the bank account\n /\n Account getAccount(int id);\n\n /\n Retrieve all accounts for a given customer\n \n @param customerId the customer id to lookup\n * @return list of accounts belonging to the given customer\n /\n List<Account> getAccountsForCustomerId(int customerId);\n\n /\n Add a new account to the data source\n \n Note that the account id will be automatically generated\n \n @param account the account information to store\n * @return generated account id\n /\n int createAccount(Account account);\n\n /\n Update stored information for a given account\n \n @param account the account to update\n /\n void updateAccount(Account account);\n}", "@Column(name = \"ACCOUNT_TYPE\")\n\tpublic String getAccountType()\n\t{\n\t\treturn accountType;\n\t}", "public AccountTypeEntity() { }", "List<BookAccount> findAllForAccount(long idAccount);", "@Override\n\tpublic List<Account> getAccountsByName(String name) {\n\t\treturn jdbcTemplate.query(\"select from account where locate(?, name)>0 \", new Object[]{name}, new BeanPropertyRowMapper(Account.class));\n\t}", "@MyBatisDao\npublic interface UserProfileMapper {\n UserProfile selectByPrimaryKey(long id);\n\n UserProfile selectByUserId(long userId);\n\n UserProfile selectByEmail(String email);\n\n int deleteByPrimaryKey(long id);\n\n int insert(UserProfile userProfile);\n\n int update(UserProfile userProfile);\n\n int updateAvatar(UserProfile userProfile);\n}", "public Account() {\n super();\n }", "List<AccountModel> findAll();", "@Override\r\n\tpublic Map<String, List<NewAccount>> Accountlist(int UserID) throws SQLException {\n\t\tList<NewAccount> accounts = createAccountDao.Accountlist(UserID);\r\n\t\tSystem.out.println(\"[CreateAccountDaoImp][save] New account save status : \" + accounts);\r\n\t\tList<NewAccount> loanAccounts = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> savingAccount = new ArrayList<NewAccount>();\r\n\t\tList<NewAccount> creditAccount = new ArrayList<NewAccount>();\r\n\t\tMap<String, List<NewAccount>> accountsMap = new HashMap<String, List<NewAccount>>();\r\n\r\n\t\t// Account Sorting\r\n\t\tfor (int i = 0; i < accounts.size(); i++) {\r\n\t\t\t\r\n\t\t\tif (accounts.get(i).getAccountType().equals(\"Loans\")) {\r\n\t\t\t\t\r\n\t\t\t\tloanAccounts.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Accounts\")) {\r\n\t\t\t\t\r\n\t\t\t\tsavingAccount.add(accounts.get(i));\r\n\t\t\t\t\r\n\t\t\t} else if (accounts.get(i).getAccountType().equals(\"Cards\")) {\r\n\t\t\t\tcreditAccount.add(accounts.get(i));\r\n\t\t\t}\r\n\t\t\t// credit //accountsMap.put(\"loan\",accounts.get(i));\r\n\t\t}\r\n\t\taccountsMap.put(\"loanAccount\", loanAccounts);\r\n\t\taccountsMap.put(\"savingsAccount\", savingAccount);\r\n\t\taccountsMap.put(\"creditAccount\", creditAccount);\r\n\t\tSet<String> key = accountsMap.keySet();\r\n\t\tIterator<String> iterator = key.iterator();\r\n\t/\twhile (iterator.hasNext()) {\r\n\t\t\tString accountType = iterator.next();\r\n\r\n\t\t\tSystem.out.println(\"----------------------\" + accountType + \"------------------------\");\r\n\t\t\tSystem.out.println(\"\|------------\" + accountsMap.get(accountType) + \"---------------\|\");\r\n\t\t\tSystem.out.println(\"-----------------End of first Account Type-------------------\");\r\n\t\t}/\r\n\r\n\t\treturn accountsMap;\r\n\t}", "ShopAccount selectByPrimaryKey(Integer spAccount);", "Type getForPersistentMapping_BaseType() {\n return baseType;\n }", "public String getBankAccountType();", "@Column(name = \"ACCOUNT_ID\")\n\tpublic String getAccountID()\n\t{\n\t\treturn accountID;\n\t}", "public List<Accounts> getAllAccounts() {\n List<Accounts> accountList = new ArrayList<Accounts>();\n // Select All Query\n String selectQuery = \"SELECT * FROM \" + TABLE_ACCOUNTS;\n\n SQLiteDatabase db = this.getWritableDatabase();\n Cursor cursor = db.rawQuery(selectQuery, null);\n\n // looping through all rows and adding to list\n if (cursor.moveToFirst()) {\n do {\n Accounts account = new Accounts();\n account.setID(Integer.parseInt(cursor.getString(0)));\n account.setName(cursor.getString(1));\n account.setPassword(cursor.getString(2));\n account.setPhoneNumber(cursor.getString(3));\n account.setEmail(cursor.getString(4));\n // Adding account to list\n accountList.add(account);\n } while (cursor.moveToNext());\n }\n\n // return account list\n return accountList;\n }", "@Query(\"select a from Account a where a.role = 'ADMIN'\")\n List<Account> getAllAdminsAccount();", "public interface Account {\n\n\tpublic String getId();\n\n\tpublic String getEmail();\n\n\tpublic AccountState getState();\n\tpublic void setState(AccountState state);\n\t\n\tpublic void setEmail(String email);\n\n\tpublic String getCompanyName();\n\n\tpublic void setCompanyName(String companyName);\n\n\tpublic Name getFullName();\n\n\tpublic void setFullName(Name fullName);\n\n\tpublic Address getAddress();\n\n\tpublic void setAddress(Address address);\n\t\n\tpublic Map<String, String> getExternalAccounts();\n\t\n\tpublic void setExternalAccounts(Map<String, String> externalAccounts);\n\t\n}", "List<TmpUserPayAccount> selectAll();", "public BmAccountsRecord() {\n super(Tue4BmAccounts.BM_ACCOUNTS);\n }", "Account getAccount();", "@Override\n\tpublic List<Map<String, Object>> getAccountsMapByName(String name) {\n\t\treturn jdbcTemplate.queryForList(\"select * from account where locate(?, name)>0 \", new Object[]{name});\n\t}", "@SuppressWarnings(\"all\")\npublic interface I_I_BankDataJP \n{\n\n /** TableName=I_BankDataJP /\n public static final String Table_Name = \"I_BankDataJP\";\n\n /* AD_Table_ID=1000307 /\n public static final int Table_ID = MTable.getTable_ID(Table_Name);\n\n KeyNamePair Model = new KeyNamePair(Table_ID, Table_Name);\n\n /* AccessLevel = 3 - Client - Org \n /\n BigDecimal accessLevel = BigDecimal.valueOf(3);\n\n /* Load Meta Data /\n\n /* Column name AD_Client_ID /\n public static final String COLUMNNAME_AD_Client_ID = \"AD_Client_ID\";\n\n\t/* Get Tenant.\n\t * Tenant for this installation.\n\t /\n\tpublic int getAD_Client_ID();\n\n /* Column name AD_OrgTrx_ID /\n public static final String COLUMNNAME_AD_OrgTrx_ID = \"AD_OrgTrx_ID\";\n\n\t/* Set Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic void setAD_OrgTrx_ID (int AD_OrgTrx_ID);\n\n\t/* Get Trx Organization.\n\t * Performing or initiating organization\n\t /\n\tpublic int getAD_OrgTrx_ID();\n\n /* Column name AD_Org_ID /\n public static final String COLUMNNAME_AD_Org_ID = \"AD_Org_ID\";\n\n\t/* Set Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic void setAD_Org_ID (int AD_Org_ID);\n\n\t/* Get Organization.\n\t * Organizational entity within tenant\n\t /\n\tpublic int getAD_Org_ID();\n\n /* Column name AccountNo /\n public static final String COLUMNNAME_AccountNo = \"AccountNo\";\n\n\t/* Set Account No.\n\t * Account Number\n\t /\n\tpublic void setAccountNo (String AccountNo);\n\n\t/* Get Account No.\n\t * Account Number\n\t /\n\tpublic String getAccountNo();\n\n /* Column name BankAccountType /\n public static final String COLUMNNAME_BankAccountType = \"BankAccountType\";\n\n\t/* Set Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic void setBankAccountType (String BankAccountType);\n\n\t/* Get Bank Account Type.\n\t * Bank Account Type\n\t /\n\tpublic String getBankAccountType();\n\n /* Column name C_BankAccount_ID /\n public static final String COLUMNNAME_C_BankAccount_ID = \"C_BankAccount_ID\";\n\n\t/* Set Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic void setC_BankAccount_ID (int C_BankAccount_ID);\n\n\t/* Get Bank Account.\n\t * Account at the Bank\n\t /\n\tpublic int getC_BankAccount_ID();\n\n\tpublic org.compiere.model.I_C_BankAccount getC_BankAccount() throws RuntimeException;\n\n /* Column name C_Bank_ID /\n public static final String COLUMNNAME_C_Bank_ID = \"C_Bank_ID\";\n\n\t/* Set Bank.\n\t * Bank\n\t /\n\tpublic void setC_Bank_ID (int C_Bank_ID);\n\n\t/* Get Bank.\n\t * Bank\n\t /\n\tpublic int getC_Bank_ID();\n\n\tpublic org.compiere.model.I_C_Bank getC_Bank() throws RuntimeException;\n\n /* Column name Created /\n public static final String COLUMNNAME_Created = \"Created\";\n\n\t/* Get Created.\n\t * Date this record was created\n\t /\n\tpublic Timestamp getCreated();\n\n /* Column name CreatedBy /\n public static final String COLUMNNAME_CreatedBy = \"CreatedBy\";\n\n\t/* Get Created By.\n\t * User who created this records\n\t /\n\tpublic int getCreatedBy();\n\n /* Column name DateAcct /\n public static final String COLUMNNAME_DateAcct = \"DateAcct\";\n\n\t/* Set Account Date.\n\t * Accounting Date\n\t /\n\tpublic void setDateAcct (Timestamp DateAcct);\n\n\t/* Get Account Date.\n\t * Accounting Date\n\t /\n\tpublic Timestamp getDateAcct();\n\n /* Column name I_BankDataJP_ID /\n public static final String COLUMNNAME_I_BankDataJP_ID = \"I_BankDataJP_ID\";\n\n\t/* Set I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic void setI_BankDataJP_ID (int I_BankDataJP_ID);\n\n\t/* Get I_BankDataJP.\n\t * JPIERE-0595:JPBP\n\t /\n\tpublic int getI_BankDataJP_ID();\n\n /* Column name I_BankDataJP_UU /\n public static final String COLUMNNAME_I_BankDataJP_UU = \"I_BankDataJP_UU\";\n\n\t/* Set I_BankDataJP_UU\t /\n\tpublic void setI_BankDataJP_UU (String I_BankDataJP_UU);\n\n\t/* Get I_BankDataJP_UU\t /\n\tpublic String getI_BankDataJP_UU();\n\n /* Column name I_ErrorMsg /\n public static final String COLUMNNAME_I_ErrorMsg = \"I_ErrorMsg\";\n\n\t/* Set Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic void setI_ErrorMsg (String I_ErrorMsg);\n\n\t/* Get Import Error Message.\n\t * Messages generated from import process\n\t /\n\tpublic String getI_ErrorMsg();\n\n /* Column name I_IsImported /\n public static final String COLUMNNAME_I_IsImported = \"I_IsImported\";\n\n\t/* Set Imported.\n\t * Has this import been processed\n\t /\n\tpublic void setI_IsImported (boolean I_IsImported);\n\n\t/* Get Imported.\n\t * Has this import been processed\n\t /\n\tpublic boolean isI_IsImported();\n\n /* Column name IsActive /\n public static final String COLUMNNAME_IsActive = \"IsActive\";\n\n\t/* Set Active.\n\t * The record is active in the system\n\t /\n\tpublic void setIsActive (boolean IsActive);\n\n\t/* Get Active.\n\t * The record is active in the system\n\t /\n\tpublic boolean isActive();\n\n /* Column name JP_A_Name /\n public static final String COLUMNNAME_JP_A_Name = \"JP_A_Name\";\n\n\t/* Set Account Name\t /\n\tpublic void setJP_A_Name (String JP_A_Name);\n\n\t/* Get Account Name\t /\n\tpublic String getJP_A_Name();\n\n /* Column name JP_A_Name_Kana /\n public static final String COLUMNNAME_JP_A_Name_Kana = \"JP_A_Name_Kana\";\n\n\t/* Set Account Name(Kana)\t /\n\tpublic void setJP_A_Name_Kana (String JP_A_Name_Kana);\n\n\t/* Get Account Name(Kana)\t /\n\tpublic String getJP_A_Name_Kana();\n\n /* Column name JP_AcctDate /\n public static final String COLUMNNAME_JP_AcctDate = \"JP_AcctDate\";\n\n\t/* Set Date of Account Date\t /\n\tpublic void setJP_AcctDate (String JP_AcctDate);\n\n\t/* Get Date of Account Date\t /\n\tpublic String getJP_AcctDate();\n\n /* Column name JP_AcctMonth /\n public static final String COLUMNNAME_JP_AcctMonth = \"JP_AcctMonth\";\n\n\t/* Set Month of Account Date\t /\n\tpublic void setJP_AcctMonth (String JP_AcctMonth);\n\n\t/* Get Month of Account Date\t /\n\tpublic String getJP_AcctMonth();\n\n /* Column name JP_BankAccountType /\n public static final String COLUMNNAME_JP_BankAccountType = \"JP_BankAccountType\";\n\n\t/* Set Bank Account Type\t /\n\tpublic void setJP_BankAccountType (String JP_BankAccountType);\n\n\t/* Get Bank Account Type\t /\n\tpublic String getJP_BankAccountType();\n\n /* Column name JP_BankAccount_Value /\n public static final String COLUMNNAME_JP_BankAccount_Value = \"JP_BankAccount_Value\";\n\n\t/* Set Bank Account(Search Key)\t /\n\tpublic void setJP_BankAccount_Value (String JP_BankAccount_Value);\n\n\t/* Get Bank Account(Search Key)\t /\n\tpublic String getJP_BankAccount_Value();\n\n /* Column name JP_BankDataCustomerCode1 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode1 = \"JP_BankDataCustomerCode1\";\n\n\t/* Set Bank Data Customer Code1\t /\n\tpublic void setJP_BankDataCustomerCode1 (String JP_BankDataCustomerCode1);\n\n\t/* Get Bank Data Customer Code1\t /\n\tpublic String getJP_BankDataCustomerCode1();\n\n /* Column name JP_BankDataCustomerCode2 /\n public static final String COLUMNNAME_JP_BankDataCustomerCode2 = \"JP_BankDataCustomerCode2\";\n\n\t/* Set Bank Data Customer Code2\t /\n\tpublic void setJP_BankDataCustomerCode2 (String JP_BankDataCustomerCode2);\n\n\t/* Get Bank Data Customer Code2\t /\n\tpublic String getJP_BankDataCustomerCode2();\n\n /* Column name JP_BankDataLine_ID /\n public static final String COLUMNNAME_JP_BankDataLine_ID = \"JP_BankDataLine_ID\";\n\n\t/* Set Import Bank Data Line\t /\n\tpublic void setJP_BankDataLine_ID (int JP_BankDataLine_ID);\n\n\t/* Get Import Bank Data Line\t /\n\tpublic int getJP_BankDataLine_ID();\n\n\tpublic I_JP_BankDataLine getJP_BankDataLine() throws RuntimeException;\n\n /* Column name JP_BankData_EDI_Info /\n public static final String COLUMNNAME_JP_BankData_EDI_Info = \"JP_BankData_EDI_Info\";\n\n\t/* Set BankData EDI Info\t /\n\tpublic void setJP_BankData_EDI_Info (String JP_BankData_EDI_Info);\n\n\t/* Get BankData EDI Info\t /\n\tpublic String getJP_BankData_EDI_Info();\n\n /* Column name JP_BankData_ID /\n public static final String COLUMNNAME_JP_BankData_ID = \"JP_BankData_ID\";\n\n\t/* Set Import Bank Data\t /\n\tpublic void setJP_BankData_ID (int JP_BankData_ID);\n\n\t/* Get Import Bank Data\t /\n\tpublic int getJP_BankData_ID();\n\n\tpublic I_JP_BankData getJP_BankData() throws RuntimeException;\n\n /* Column name JP_BankData_ReferenceNo /\n public static final String COLUMNNAME_JP_BankData_ReferenceNo = \"JP_BankData_ReferenceNo\";\n\n\t/* Set Bank Data ReferenceNo\t /\n\tpublic void setJP_BankData_ReferenceNo (String JP_BankData_ReferenceNo);\n\n\t/* Get Bank Data ReferenceNo\t /\n\tpublic String getJP_BankData_ReferenceNo();\n\n /* Column name JP_BankName_Kana /\n public static final String COLUMNNAME_JP_BankName_Kana = \"JP_BankName_Kana\";\n\n\t/* Set Bank Name(Kana)\t /\n\tpublic void setJP_BankName_Kana (String JP_BankName_Kana);\n\n\t/* Get Bank Name(Kana)\t /\n\tpublic String getJP_BankName_Kana();\n\n /* Column name JP_BankName_Kana_Line /\n public static final String COLUMNNAME_JP_BankName_Kana_Line = \"JP_BankName_Kana_Line\";\n\n\t/* Set Bank Name(Kana) Line\t /\n\tpublic void setJP_BankName_Kana_Line (String JP_BankName_Kana_Line);\n\n\t/* Get Bank Name(Kana) Line\t /\n\tpublic String getJP_BankName_Kana_Line();\n\n /* Column name JP_Bank_Name /\n public static final String COLUMNNAME_JP_Bank_Name = \"JP_Bank_Name\";\n\n\t/* Set Bank Name\t /\n\tpublic void setJP_Bank_Name (String JP_Bank_Name);\n\n\t/* Get Bank Name\t /\n\tpublic String getJP_Bank_Name();\n\n /* Column name JP_BranchCode /\n public static final String COLUMNNAME_JP_BranchCode = \"JP_BranchCode\";\n\n\t/* Set Branch Code\t /\n\tpublic void setJP_BranchCode (String JP_BranchCode);\n\n\t/* Get Branch Code\t /\n\tpublic String getJP_BranchCode();\n\n /* Column name JP_BranchName /\n public static final String COLUMNNAME_JP_BranchName = \"JP_BranchName\";\n\n\t/* Set Branch Name\t /\n\tpublic void setJP_BranchName (String JP_BranchName);\n\n\t/* Get Branch Name\t /\n\tpublic String getJP_BranchName();\n\n /* Column name JP_BranchName_Kana /\n public static final String COLUMNNAME_JP_BranchName_Kana = \"JP_BranchName_Kana\";\n\n\t/* Set Branch Name(Kana)\t /\n\tpublic void setJP_BranchName_Kana (String JP_BranchName_Kana);\n\n\t/* Get Branch Name(Kana)\t /\n\tpublic String getJP_BranchName_Kana();\n\n /* Column name JP_BranchName_Kana_Line /\n public static final String COLUMNNAME_JP_BranchName_Kana_Line = \"JP_BranchName_Kana_Line\";\n\n\t/* Set Branch Name(Kana) Line\t /\n\tpublic void setJP_BranchName_Kana_Line (String JP_BranchName_Kana_Line);\n\n\t/* Get Branch Name(Kana) Line\t /\n\tpublic String getJP_BranchName_Kana_Line();\n\n /* Column name JP_Date /\n public static final String COLUMNNAME_JP_Date = \"JP_Date\";\n\n\t/* Set Date.\n\t * Date\n\t /\n\tpublic void setJP_Date (String JP_Date);\n\n\t/* Get Date.\n\t * Date\n\t /\n\tpublic String getJP_Date();\n\n /* Column name JP_Line_Description /\n public static final String COLUMNNAME_JP_Line_Description = \"JP_Line_Description\";\n\n\t/* Set Line Description\t /\n\tpublic void setJP_Line_Description (String JP_Line_Description);\n\n\t/* Get Line Description\t /\n\tpublic String getJP_Line_Description();\n\n /* Column name JP_Month /\n public static final String COLUMNNAME_JP_Month = \"JP_Month\";\n\n\t/* Set Month\t /\n\tpublic void setJP_Month (String JP_Month);\n\n\t/* Get Month\t /\n\tpublic String getJP_Month();\n\n /* Column name JP_OrgTrx_Value /\n public static final String COLUMNNAME_JP_OrgTrx_Value = \"JP_OrgTrx_Value\";\n\n\t/* Set Trx Organization(Search Key)\t /\n\tpublic void setJP_OrgTrx_Value (String JP_OrgTrx_Value);\n\n\t/* Get Trx Organization(Search Key)\t /\n\tpublic String getJP_OrgTrx_Value();\n\n /* Column name JP_Org_Value /\n public static final String COLUMNNAME_JP_Org_Value = \"JP_Org_Value\";\n\n\t/* Set Organization(Search Key)\t /\n\tpublic void setJP_Org_Value (String JP_Org_Value);\n\n\t/* Get Organization(Search Key)\t /\n\tpublic String getJP_Org_Value();\n\n /* Column name JP_RequesterName /\n public static final String COLUMNNAME_JP_RequesterName = \"JP_RequesterName\";\n\n\t/* Set Requester Name\t /\n\tpublic void setJP_RequesterName (String JP_RequesterName);\n\n\t/* Get Requester Name\t /\n\tpublic String getJP_RequesterName();\n\n /* Column name JP_SalesRep_EMail /\n public static final String COLUMNNAME_JP_SalesRep_EMail = \"JP_SalesRep_EMail\";\n\n\t/* Set Sales Rep(E-Mail)\t /\n\tpublic void setJP_SalesRep_EMail (String JP_SalesRep_EMail);\n\n\t/* Get Sales Rep(E-Mail)\t /\n\tpublic String getJP_SalesRep_EMail();\n\n /* Column name JP_SalesRep_Name /\n public static final String COLUMNNAME_JP_SalesRep_Name = \"JP_SalesRep_Name\";\n\n\t/* Set Sales Rep(Name)\t /\n\tpublic void setJP_SalesRep_Name (String JP_SalesRep_Name);\n\n\t/* Get Sales Rep(Name)\t /\n\tpublic String getJP_SalesRep_Name();\n\n /* Column name JP_SalesRep_Value /\n public static final String COLUMNNAME_JP_SalesRep_Value = \"JP_SalesRep_Value\";\n\n\t/* Set Sales Rep(Search Key)\t /\n\tpublic void setJP_SalesRep_Value (String JP_SalesRep_Value);\n\n\t/* Get Sales Rep(Search Key)\t /\n\tpublic String getJP_SalesRep_Value();\n\n /* Column name Processed /\n public static final String COLUMNNAME_Processed = \"Processed\";\n\n\t/* Set Processed.\n\t * The document has been processed\n\t /\n\tpublic void setProcessed (boolean Processed);\n\n\t/* Get Processed.\n\t * The document has been processed\n\t /\n\tpublic boolean isProcessed();\n\n /* Column name Processing /\n public static final String COLUMNNAME_Processing = \"Processing\";\n\n\t/* Set Process Now\t /\n\tpublic void setProcessing (boolean Processing);\n\n\t/* Get Process Now\t /\n\tpublic boolean isProcessing();\n\n /* Column name RoutingNo /\n public static final String COLUMNNAME_RoutingNo = \"RoutingNo\";\n\n\t/* Set Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic void setRoutingNo (String RoutingNo);\n\n\t/* Get Routing No.\n\t * Bank Routing Number\n\t /\n\tpublic String getRoutingNo();\n\n /* Column name SalesRep_ID /\n public static final String COLUMNNAME_SalesRep_ID = \"SalesRep_ID\";\n\n\t/* Set Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic void setSalesRep_ID (int SalesRep_ID);\n\n\t/* Get Sales Rep.\n\t * Sales Representative or Company Agent\n\t /\n\tpublic int getSalesRep_ID();\n\n\tpublic org.compiere.model.I_AD_User getSalesRep() throws RuntimeException;\n\n /* Column name StatementDate /\n public static final String COLUMNNAME_StatementDate = \"StatementDate\";\n\n\t/* Set Statement date.\n\t * Date of the statement\n\t /\n\tpublic void setStatementDate (Timestamp StatementDate);\n\n\t/* Get Statement date.\n\t * Date of the statement\n\t /\n\tpublic Timestamp getStatementDate();\n\n /* Column name StmtAmt /\n public static final String COLUMNNAME_StmtAmt = \"StmtAmt\";\n\n\t/* Set Statement amount.\n\t * Statement Amount\n\t /\n\tpublic void setStmtAmt (BigDecimal StmtAmt);\n\n\t/* Get Statement amount.\n\t * Statement Amount\n\t /\n\tpublic BigDecimal getStmtAmt();\n\n /* Column name TrxAmt /\n public static final String COLUMNNAME_TrxAmt = \"TrxAmt\";\n\n\t/* Set Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic void setTrxAmt (BigDecimal TrxAmt);\n\n\t/* Get Transaction Amount.\n\t * Amount of a transaction\n\t /\n\tpublic BigDecimal getTrxAmt();\n\n /* Column name Updated /\n public static final String COLUMNNAME_Updated = \"Updated\";\n\n\t/* Get Updated.\n\t * Date this record was updated\n\t /\n\tpublic Timestamp getUpdated();\n\n /* Column name UpdatedBy /\n public static final String COLUMNNAME_UpdatedBy = \"UpdatedBy\";\n\n\t/* Get Updated By.\n\t * User who updated this records\n\t /\n\tpublic int getUpdatedBy();\n}", "@Override\n\tpublic Account getAccountById(int id) {\n\t\treturn (Account) jdbcTemplate.queryForObject(\"select from account where id=? limit 0 , 1\", new Object[]{id}, new BeanPropertyRowMapper(Account.class));\n\t}", "@Override\n\tpublic String getTableName() {\n\t\treturn \"user\";\n\t}", "public interface AccountDao extends IDao<Account> {\n /*\n @param accNo the account number that should be searched for\n * @return the account object that has been searched for\n /\n Account getByAccountNo(String accNo);\n\n /\n @param accountName the account name the searched account has\n * @return the account matching the account name\n /\n Account getByName(String accountName);\n}", "public List<Account> queryAll() {\n\t\treturn null;\n\t}", "public interface AccountChargeRecordsBackupDao extends GenericDAO<AccountChargeRecordsBackup,String> {\n}", "List<Account> selectAll();", "Balance[] findAllByBankAccount_Id(Long id);", "@Override\n public Map<String, BankAccount> getAccounts(Connection connection, String src, String trg, boolean forUpdate) throws SQLException, BankBusinessException {\n String query = \"\";\n String tableName = connectionProperties.getTableName();\n if (forUpdate) {\n query = String.format(\"select from %s where card_number = ? or card_number = ? FOR UPDATE\", tableName);\n } else {\n query = String.format(\"select * from %s where card_number = ? or card_number = ?\", tableName);\n }\n PreparedStatement preparedStatement = connection.prepareStatement(query);\n preparedStatement.setString(1, src);\n preparedStatement.setString(2, trg);\n log.info(\"Query {}\", query);\n ResultSet set = preparedStatement.executeQuery();\n final Map<String, BankAccount> accountMap = new HashMap<>();\n while (set.next()) {\n BankAccount account = new BankAccount();\n account.setCardNumber(set.getString(\"card_number\"));\n account.setBalance(set.getDouble(\"balance\"));\n accountMap.put(account.getCardNumber(), account);\n }\n return accountMap;\n }", "@Override\n\tpublic List<Account> findAll() {\n\t\treturn null;\n\t}", "public AccountType getAccountType() {\n return accountType;\n }", "public AccountType getAccountType() {\n return accountType;\n }", "Account selectByPrimaryKey(Long accountid);", "@Override\n public void insertAccount() throws Exception {\n\n }", "CusBankAccount selectByPrimaryKey(Integer id);", "@Transactional\r\n\tpublic List<BudgetAccount> findAllBudgetAccounts(Integer startResult, Integer maxRows) {\r\n\t\treturn new java.util.ArrayList<BudgetAccount>(budgetAccountDAO.findAllBudgetAccounts(startResult, maxRows));\r\n\t}", "@Override\n public String toString()\n {\n return getClass().getSimpleName() + \"(\" + getAccountID() + \")\";\n }", "@Select({\n \"select\",\n \"uid, username, password, sex, phonenumber, id_card, bank_card, bank_location, \",\n \"type, salt, is_able, create_time, parent_id, name\",\n \"from xxd_user\",\n \"where uid = #{uid,jdbcType=INTEGER}\"\n })\n @Results({\n @Result(column=\"uid\", property=\"uid\", jdbcType=JdbcType.INTEGER, id=true),\n @Result(column=\"username\", property=\"username\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"password\", property=\"password\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"sex\", property=\"sex\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"phonenumber\", property=\"phonenumber\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"id_card\", property=\"idCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_card\", property=\"bankCard\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"bank_location\", property=\"bankLocation\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"type\", property=\"type\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"salt\", property=\"salt\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"is_able\", property=\"is_able\", jdbcType=JdbcType.SMALLINT),\n @Result(column=\"create_time\", property=\"create_time\", jdbcType=JdbcType.VARCHAR),\n @Result(column=\"parent_id\", property=\"parent_id\", jdbcType=JdbcType.INTEGER),\n @Result(column=\"name\", property=\"name\", jdbcType=JdbcType.VARCHAR)\n })\n XxdUser selectByPrimaryKey(Integer uid);", "public account(){\n this.accNo = 000;\n this.id = 000;\n this.atype = \"\";\n this.abal = 0.00;\n }", "public BankAccount getAccountBalanceRepo(String accountNr){\n String sql = \"SELECT * FROM bankaccount WHERE accountnr = :accountnr\";\n Map paramMap = new HashMap();\n paramMap.put(\"accountnr\", accountNr);\n BankAccount result = jdbcTemplate.queryForObject(sql, paramMap, new AccountRowMapper());\n return result;\n }", "public List<Account> getAllAccounts() {\n List<Account> accounts = new ArrayList<>();\n accountRepository.findAll().forEach(account -> accounts.add(account));\n return accounts;\n }", "public interface QueryWalletDao extends BaseMapper<Wallet> {\r\n\r\n\r\n\r\n\r\n}", "@Override\n\tpublic Account findAccountByAccountId(int accountId) throws SQLException {\n\t\tConnection connect = db.getConnection();\n\t\tString selectQuery = \"select * from accounts where id=?\";\n\t\tPreparedStatement prepStmt = connect.prepareStatement(selectQuery);\n\t\tprepStmt.setInt(1, accountId);\n\t\tResultSet rs = prepStmt.executeQuery();\n\t\tAccount a = null;\n\t\twhile (rs.next()) {\n\t\t\ta = new Account(rs.getInt(1), rs.getString(2), rs.getDouble(3));\n\t\t}\n\t\treturn a;\n\n\t}", "@Override\n\tprotected String getTableName() {\n\t\treturn super.getTableName();\n\t}", "public static Account getAccountDetails(int accountId) throws SQLException {\n boolean cdt1 = Checker.checkValidUserAccountAccountId(accountId);\n // if it is a account id, establish a connection\n if (cdt1) {\n EnumMapRolesAndAccounts map = new EnumMapRolesAndAccounts();\n map.createEnumMap();\n Connection connection = DatabaseDriverHelper.connectOrCreateDataBase();\n ResultSet results = DatabaseSelector.getAccountDetails(accountId, connection);\n while (results.next()) {\n // get the account details\n String name = results.getString(\"NAME\");\n BigDecimal balance = new BigDecimal(results.getString(\"BALANCE\"));\n // make an account class (either chequing, savings, or tfsa) based on the type\n if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.CHEQUING)) {\n ChequingAccount chequing = new ChequingAccountImpl(accountId, name, balance);\n connection.close();\n return chequing;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.SAVINGS)) {\n SavingsAccount savings = new SavingsAccountImpl(accountId, name, balance);\n connection.close();\n return savings;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.TFSA)) {\n TFSA tfsa = new TFSAImpl(accountId, name, balance);\n connection.close();\n return tfsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.RESTRICTEDSAVING)) {\n RestrictedSavingsAccount rsa = new RestrictedSavingsAccountImpl(accountId, name, balance);\n connection.close();\n return rsa;\n } else if (DatabaseSelectHelper.getAccountType(accountId) == map.accountTypes.get(AccountTypes.BALANCEOWING)) {\n BalanceOwingAccount boa = new BalanceOwingAccountImpl(accountId, name, balance);\n connection.close();\n return boa;\n }\n }\n }\n return null;\n }", "List<BaseUser> selectAll();", "public interface AccountDao {\n\n /*\n Method saves user account into DB\n * @param account is user account\n /\n Account save(Account account);\n\n\n /\n Method find all accounts from DB\n * @return List<Account>\n /\n List<Account> findAll();\n\n /\n Method finds account by number\n * @param number is number of account\n * @return Optional<Account>\n /\n Optional<Account> findByNumber(long number);\n\n /\n Method finds account by username\n * @param username is name of user\n * @return List<Account>\n /\n List<Account> findByUsername(String username);\n\n /\n Method update accounts in batch.\n * @param accounts\n /\n void update(Account... accounts);\n\n}", "@Override\r\n protected Class getConcreteClass() {\n return TwitterAccount.class;\r\n }", "public interface PendingAccountStatusDAO extends BaseDAO<PendingAccountStatus>, InsertableDAO<PendingAccountStatus>, DeletableDAO<PendingAccountStatus> {\n\n /\n Returns the number of pending statuses\n /\n int count();\n\n /\n Iterates through all existing pending account statuses for the given account. The transfer (and it's from and to accounts), the scheduled\n * payment (and it's from account) and the accounts are eagerly fetched.\n /\n Iterator<PendingAccountStatus> iterateFor(Account account);\n\n /\n Returns the next pending statuses to be processed. The transfer (and it's from and to accounts), the scheduled payment (and it's from account)\n * and the accounts are eagerly fetched.\n /\n List<PendingAccountStatus> next(int count);\n\n}", "@Override\npublic void update(Account account) {\n\taccountdao.update(account);\n}", "FinanceAccount selectByPrimaryKey(Integer id);", "public void setBankAccountType (String BankAccountType);", "public interface IPayAccountCardDao\n{\n int Update(PayAccountCard payAccountCard);\n\n int Insert(PayAccountCard payAccountCard);\n\n int Delete(PayAccountCard payAccountCard);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param company_code\n * @param payee_id\n * @return\n /\n List<Map<String, Object>> loadBankCardByPayeeId(String company_code, String payee_id);\n\n /\n 根据网点编号获取该网点银行卡号\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> Select(PayAccountCard payAccountCard);\n\n /\n 根据银行卡号获取银行卡银行\n \n @param payAccountCard\n * @return\n /\n List<Map<String, Object>> selectBankCardById(PayAccountCard payAccountCard);\n\n /\n 设置别名或设置默认标识\n * @param company_code\n * @param payee_id\n * @param account_id\n * @param alias\n * @param default_id\n * @return\n */\n int SetAliasOrDefault(String company_code, String payee_id,String account_id, String alias, int default_id);\n}", "@MyBatisRepository\npublic interface UserMybatisDao {\n int register(User user);\n\n int updateUser(User user);\n\n String checkPhone(String phone);\n\n int perfectUserInfo(Map params);\n\n User findByToken(String uid);\n\n int checkIsRegisteredByPhone(String phone);\n\n User findByUserId(Long userId);\n}", "public interface AccountDAO {\n public BankAccount createAccount(String accountNumber);\n public BankAccount getAccount(String accountNumber);\n public long deposit(String accountNumber, long amount, String description);\n public long withdraw(String accountNumber, long amount, String description);\n}", "@Repository\npublic interface UserDAO extends MyBatisBaseDAO<UserDO, String, UserDOExample> {\n}", "@MyBatisDao\npublic interface ContnDao extends BaseDao<Contn> {\n\n Contn get(@Param(\"id\") int id);\n\n Contn getByContnNo(@Param(\"contnNo\") String contnNo);\n}", "UserAccount getUserAccountById(long id);", "public DerivedPartOfPerspectivesFKDAOJDBC() {\n \t\n }", "@Query(value = \"from BankAccount where dtype = 'BankAccount' and user_id = :id\")\n Optional<BankAccount> findBankAccountByUserAndType(Long id);", "@Override\n\tpublic List<Account> GetAllAccounts() {\n\t\tif(accountList.size() > 0)\n\t\t\treturn accountList;\n\t\treturn null;\n\t}", "public final void loadAccounts() {\n DBUtil.select(\n \"select id, created, account_name, account_pass, account_email, timezone from \"\n + ConfigUtil.getAntiFraudDatabaseSchema()\n + \".af_account\",\n new ResultSetProcessor() {\n @Override\n public void process(ResultSet resultSet) throws SQLException {\n while (resultSet.next() ) {\n AfAccount account = createAccountFromResultSet(resultSet);\n }\n }\n });\n }" ]	[ "0.63371223", "0.59390783", "0.5923802", "0.58866423", "0.5848204", "0.58397186", "0.5804929", "0.5758779", "0.5694896", "0.5674712", "0.5614868", "0.5551139", "0.5530871", "0.55122644", "0.55091876", "0.5495863", "0.5489697", "0.5489697", "0.54818004", "0.5464711", "0.5438731", "0.54364824", "0.5433815", "0.54261595", "0.5418729", "0.5414778", "0.5409652", "0.53900343", "0.5374019", "0.5367303", "0.5364356", "0.5339496", "0.53341216", "0.5329415", "0.53155917", "0.53079206", "0.5301612", "0.5292949", "0.5292396", "0.5286131", "0.5283188", "0.5277992", "0.52669203", "0.52640015", "0.52629584", "0.52564037", "0.52310187", "0.52262115", "0.522552", "0.5218807", "0.5214729", "0.52083683", "0.5195903", "0.5194689", "0.51904243", "0.5188311", "0.51832753", "0.51755005", "0.51738995", "0.517297", "0.51648474", "0.5158493", "0.5154217", "0.5144041", "0.5141519", "0.51364803", "0.5133527", "0.5126345", "0.511935", "0.51190597", "0.51190597", "0.51164263", "0.51154315", "0.5115293", "0.51117945", "0.5108328", "0.50962806", "0.50922877", "0.50890017", "0.50850856", "0.5080106", "0.5079838", "0.50796825", "0.50780064", "0.50761425", "0.507357", "0.50728", "0.507071", "0.50643915", "0.5062157", "0.50596565", "0.5059244", "0.50587606", "0.5058371", "0.5053003", "0.5049836", "0.50498223", "0.5049707", "0.50479543", "0.50431436", "0.5034407" ]	0.0	-1
TODO Autogenerated method stub	@Override public boolean matches(String regex, CharSequence input) { return false; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}", "@Override\n\tpublic void comer() {\n\t\t\n\t}", "@Override\n public void perish() {\n \n }", "@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}", "@Override\n\tpublic void anular() {\n\n\t}", "@Override\n\tprotected void getExras() {\n\n\t}", "@Override\r\n\tpublic void anularFact() {\n\t\t\r\n\t}", "@Override\n\tpublic void entrenar() {\n\t\t\n\t}", "@Override\n\tpublic void nadar() {\n\t\t\n\t}", "@Override\r\n\tpublic void tires() {\n\t\t\r\n\t}", "@Override\r\n\t\t\tpublic void ayuda() {\n\r\n\t\t\t}", "@Override\n\tprotected void interr() {\n\t}", "@Override\n\tpublic void emprestimo() {\n\n\t}", "@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}", "@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}", "@Override\n\tpublic void grabar() {\n\t\t\n\t}", "@Override\n\tpublic void gravarBd() {\n\t\t\n\t}", "@Override\r\n\tpublic void rozmnozovat() {\n\t}", "@Override\r\n\tpublic void dormir() {\n\t\t\r\n\t}", "@Override\n protected void getExras() {\n }", "@Override\r\n\tpublic void publierEnchere() {\n\t\t\r\n\t}", "@Override\n\tpublic void nefesAl() {\n\n\t}", "@Override\n\tpublic void ligar() {\n\t\t\n\t}", "@Override\n public void func_104112_b() {\n \n }", "@Override\n\tprotected void initdata() {\n\n\t}", "@Override\n\tpublic void nghe() {\n\n\t}", "@Override\n public void function()\n {\n }", "@Override\n public void function()\n {\n }", "public final void mo51373a() {\n }", "@Override\r\n\tpublic void stehReagieren() {\r\n\t\t//\r\n\t}", "@Override\n public void inizializza() {\n\n super.inizializza();\n }", "@Override\n\tprotected void initData() {\n\t\t\n\t}", "@Override\r\n\t\tpublic void init() {\n\t\t\t\r\n\t\t}", "@Override\n\tpublic void sacrifier() {\n\t\t\n\t}", "@Override\r\n\tprotected void InitData() {\n\t\t\r\n\t}", "public void designBasement() {\n\t\t\r\n\t}", "@Override\r\n\tprotected void initialize() {\r\n\t\t\r\n\t\t\r\n\t}", "public void gored() {\n\t\t\n\t}", "@Override\r\n\tprotected void initData() {\n\r\n\t}", "@Override\n\tpublic void einkaufen() {\n\t}", "@Override\n protected void initialize() {\n\n \n }", "public void mo38117a() {\n }", "@Override\n\tprotected void getData() {\n\t\t\n\t}", "Constructor() {\r\n\t\t \r\n\t }", "@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}", "@Override\r\n\tpublic void dibujar() {\n\t\t\r\n\t}", "@Override\n\tpublic void one() {\n\t\t\n\t}", "@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}", "@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}", "@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}", "@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}", "@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}", "@Override\r\n\tprotected void initData() {\n\t\t\r\n\t}", "private stendhal() {\n\t}", "@Override\n\tprotected void update() {\n\t\t\n\t}", "@Override\n\t\t\tpublic void ic() {\n\t\t\t\t\n\t\t\t}", "@Override\n\tprotected void initData() {\n\n\t}", "@Override\n\tprotected void initData() {\n\n\t}", "@Override\n\tpublic void init() {\n\t\t\n\t}", "@Override\n\tpublic void init() {\n\t\t\n\t}", "@Override\n\tpublic void init() {\n\t\t\n\t}", "@Override\n\tpublic void init() {\n\t\t\n\t}", "@Override\n\tpublic void init() {\n\t\t\n\t}", "@Override\n public void init() {\n\n }", "@Override\n\tprotected void initialize() {\n\t\t\n\t}", "@Override\n\tprotected void initialize() {\n\t\t\n\t}", "@Override\r\n\tpublic void init() {\n\t\t\r\n\t}", "@Override\r\n\tpublic void init() {\n\t\t\r\n\t}", "@Override\r\n\tpublic void init() {\n\t\t\r\n\t}", "@Override\n\tpublic void debite() {\n\t\t\n\t}", "@Override\r\n\tpublic void init() {\n\r\n\t}", "@Override\r\n\tpublic void init() {\n\r\n\t}", "@Override\r\n\tpublic void init() {\n\r\n\t}", "public contrustor(){\r\n\t}", "@Override\n\tprotected void initialize() {\n\n\t}", "@Override\r\n\tpublic void dispase() {\n\r\n\t}", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "@Override\n\tpublic void dtd() {\n\t\t\n\t}", "@Override\n\tprotected void logic() {\n\n\t}", "@Override\n\tprotected void lazyLoad() {\n\t\t\n\t}", "public void mo4359a() {\n }", "@Override\r\n\tprotected void initialize() {\n\r\n\t}", "@Override\n public void memoria() {\n \n }", "@Override\n\t\tpublic void method() {\n\t\t\t\n\t\t}", "private RepositorioAtendimentoPublicoHBM() {\r\t}", "@Override\n protected void initialize() \n {\n \n }", "@Override\r\n\tpublic void getProposition() {\n\r\n\t}", "@Override\n\tpublic void particular1() {\n\t\t\n\t}", "@Override\n\tpublic void init() {\n\n\t}", "@Override\n\tpublic void init() {\n\n\t}", "@Override\n\tpublic void init() {\n\n\t}", "@Override\n protected void prot() {\n }", "@Override\r\n\tpublic void init()\r\n\t{\n\t}", "@Override\n\tprotected void initValue()\n\t{\n\n\t}", "public void mo55254a() {\n }" ]	[ "0.6671074", "0.6567672", "0.6523024", "0.6481211", "0.6477082", "0.64591026", "0.64127725", "0.63762105", "0.6276059", "0.6254286", "0.623686", "0.6223679", "0.6201336", "0.61950207", "0.61950207", "0.61922914", "0.6186996", "0.6173591", "0.61327106", "0.61285484", "0.6080161", "0.6077022", "0.6041561", "0.6024072", "0.6020252", "0.59984857", "0.59672105", "0.59672105", "0.5965777", "0.59485507", "0.5940904", "0.59239364", "0.5910017", "0.5902906", "0.58946234", "0.5886006", "0.58839184", "0.58691067", "0.5857751", "0.58503544", "0.5847024", "0.58239377", "0.5810564", "0.5810089", "0.5806823", "0.5806823", "0.5800025", "0.5792378", "0.5792378", "0.5792378", "0.5792378", "0.5792378", "0.5792378", "0.5790187", "0.5789414", "0.5787092", "0.57844025", "0.57844025", "0.5774479", "0.5774479", "0.5774479", "0.5774479", "0.5774479", "0.5761362", "0.57596046", "0.57596046", "0.575025", "0.575025", "0.575025", "0.5747959", "0.57337177", "0.57337177", "0.57337177", "0.5721452", "0.5715831", "0.57142824", "0.57140535", "0.57140535", "0.57140535", "0.57140535", "0.57140535", "0.57140535", "0.57140535", "0.5711723", "0.57041645", "0.56991017", "0.5696783", "0.56881124", "0.56774884", "0.56734604", "0.56728", "0.56696945", "0.5661323", "0.5657007", "0.5655942", "0.5655942", "0.5655942", "0.56549734", "0.5654792", "0.5652974", "0.5650185" ]	0.0	-1
TO DO: sequence checking(e.g. STORE 2:4 ...)	public Store (String prefix, String request, DB db, PrintWriter out) { this.FLAGS = new String[]{"Answered", "Recent", "Deleted", "Seen", "Draft", "Flagged"}; this.prefix = prefix; this.request = request; this.db = db; this.out = out; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "private static void test4() {\n int[] data4 = {5, 4, 3, 2, 1};\n System.out.println(\"true: \" + verifySequenceOfBST(data4));\n }", "private static void test3() {\n int[] data3 = {1, 2, 3, 4, 5};\n System.out.println(\"true: \" + verifySequenceOfBST(data3));\n }", "public int getNextUnSafeSequence(){ return value++;}", "public void storeSequence(int index, DnaBitString seq) {\n\n// System.err.println(\"WARNING :: KidDatabaseDisk::storeSequence(int, DnaBitString) not available\");\n\n long[] longs = seq.compressed.toLongArray();\n storeSequence128(longs, index);\n\n exceptionsArr.add(seq.exceptions);\n sequenceLength.add(seq.getLength());\n\n //erase bits in memory\n seq.compressed = new MyFixedBitSet();\n\n }", "private static void test2() {\n int[] data2 = {4, 6, 7, 5};\n System.out.println(\"true: \" + verifySequenceOfBST(data2));\n }", "@Override\n\tpublic int sequence() {\n\t\treturn 0;\n\t}", "void keySequenceHardFailure();", "private void nextMovement()\n\t{\n\t\tif(SEQUENCE.length <= 1)\n\t\t\tSEQUENCE = null;\n\t\telse\n\t\t{\n\t\t\tint[] temp = new int[SEQUENCE.length - 1];\n\t\t\tfor(int i = 1; i < SEQUENCE.length; i++)\n\t\t\t{\n\t\t\t\ttemp[i-1] = SEQUENCE[i];\n\t\t\t}\n\t\t\tSEQUENCE = temp;\n\t\t}\n\t}", "@Test\r\n\tpublic void testIntegerSequenceCache_4() {\n\t\tboolean[] replacement = {true, true, true, true};\r\n\t\tRandomOrgCache<String[][]> c = rocs[0].createIntegerSequenceCache(4, LENGTH, MIN, MAX, replacement, BASE, 10);\r\n\t\tc.stop();\r\n\r\n\t\ttry {\r\n\t\t\tc.get();\r\n\t\t\tcollector.addError(new Error(\"should have thrown NoSuchElementException\"));\r\n\t\t} catch (NoSuchElementException e) {}\r\n\t\t\r\n\t\tc.resume();\r\n\t\t\r\n\t\tString[][] got = null;\r\n\t\t\r\n\t\twhile (got == null) {\r\n\t\t\ttry {\r\n\t\t\t\tgot = c.get();\r\n\t\t\t} catch (NoSuchElementException e) {\r\n\t\t\t\ttry {\r\n\t\t\t\t\tThread.sleep(50);\r\n\t\t\t\t} catch (InterruptedException e1) {\r\n\t\t\t\t\tcollector.addError(new Error(\"shouldn't have been interrupted!\"));\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\tfor (int i = 0; i < got.length; i++) {\r\n\t\t\tcollector.checkThat(got[i].length == LENGTH[i], equalTo(true));\r\n\t\t}\r\n\t\t\r\n\t\tcollector.checkThat(got, notNullValue());\r\n\t}", "public boolean insert(int val) {\n if(!map.containsKey(val)){\n if(validLength == set.size()){\n set.add(val);\n map.put(val, validLength++);\n }\n else{\n map.put(val, validLength);\n set.set(validLength++, val);\n }\n return true;\n }\n else{\n return false;\n }\n }", "@Test\r\n\tpublic void testPositiveGenerateIntegerSequences_7() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tcollector.checkThat(roc.generateIntegerSequences(4, LENGTH, MIN, MAX, REPLACEMENT), notNullValue());\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "@Test\r\n\tpublic void testIntegerSequenceCache_3() {\n\t\tRandomOrgCache<int[][]> c = rocs[0].createIntegerSequenceCache(4, LENGTH, MIN, MAX);\r\n\t\tc.stop();\r\n\r\n\t\ttry {\r\n\t\t\tc.get();\r\n\t\t\tcollector.addError(new Error(\"should have thrown NoSuchElementException\"));\r\n\t\t} catch (NoSuchElementException e) {}\r\n\t\t\r\n\t\tc.resume();\r\n\t\t\r\n\t\tint[][] got = null;\r\n\t\t\r\n\t\twhile (got == null) {\r\n\t\t\ttry {\r\n\t\t\t\tgot = c.get();\r\n\t\t\t} catch (NoSuchElementException e) {\r\n\t\t\t\ttry {\r\n\t\t\t\t\tThread.sleep(50);\r\n\t\t\t\t} catch (InterruptedException e1) {\r\n\t\t\t\t\tcollector.addError(new Error(\"shouldn't have been interrupted!\"));\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\tcollector.checkThat(got, notNullValue());\r\n\t}", "@Test\r\n\tpublic void testPositiveGenerateIntegerSequences_3() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tcollector.checkThat(roc.generateIntegerSequences(3, 5, 0, 10, false, 16), notNullValue());\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "@Test\r\n\tpublic void testPositiveGenerateIntegerSequences_6() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tcollector.checkThat(roc.generateIntegerSequences(4, LENGTH, MIN, MAX), notNullValue());\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "@Test\r\n\tpublic void testPositiveGenerateIntegerSequences_2() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tcollector.checkThat(roc.generateIntegerSequences(3, 5, 0, 10, false), notNullValue());\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "public interface Sequence {\n\n public String getValue();\n\n public void setCounter(long counter);\n\n public String getName();\n\n public int getStartsWith();\n\n public int getIncrementBy();\n\n}", "@Test\n\tpublic void testSequence(){\n\t\tVariable x = new Variable(\"x\");\n\t\tOperator plus = new Operator(\"+\");\n\t\tExpression one = f.createNumNode(1);\n\t\tExpression two = f.createNumNode(2);\n\t\tExpression exp = f.createInfixNode(plus, one, two);\n\t\tStatement decl = f.createDeclNode(x);\n\t\tStatement assign = f.createAssignNode(x,exp);\n\t\tStatement seq = f.createSequenceNode(decl, assign);\n\t\tassertEquals(seq.textRepresentation(), \"var x; x = 1 + 2;\");\n\n\t\tASTNodeCountVisitor v = new ASTNodeCountVisitor();\n\t\tseq.accept(v);\n\t\tassertEquals(\"sequence test1 fail\", v.numCount, 2);\n\t\tassertEquals(\"sequence test2 fail\", v.infixCount, 1);\n\t\tassertEquals(\"sequence test3 fail\", v.decCount, 1);\n\t\tassertEquals(\"sequence test4 fail\", v.seqCount, 1);\n\t\tassertEquals(\"sequence test5 fail\", v.assignCount, 1);\n\t\tassertEquals(\"sequence test6 fail\", v.varCount, 0);\n\t\tassertEquals(\"sequence test7 fail\", v.strCount, 0);\n\t\tassertEquals(\"sequence test8 fail\", v.prefixCount, 0);\n\t}", "@Test\r\n\tpublic void testPositiveGenerateIntegerSequences_8() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tcollector.checkThat(roc.generateIntegerSequences(4, LENGTH, MIN, MAX, REPLACEMENT, BASE), notNullValue());\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "int getSeq();", "int getSeq();", "int getSeq();", "boolean hasSequenceNumber();", "@Test\r\n\tpublic void testPositiveGenerateSignedIntegerSequences_6() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tHashMap<String,Object> o = roc.generateSignedIntegerSequences(4, LENGTH, MIN, MAX);\r\n\t\t\t\t\r\n\t\t\t\tthis.signedValueTester(roc, i, o, int[][].class);\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "public void setSequence(Integer sequence) {\n this.sequence = sequence;\n }", "Sequence createSequence();", "@Test\r\n\tpublic void testPositiveGenerateSignedIntegerSequences_3() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tHashMap<String,Object> o = roc.generateSignedIntegerSequences(3, 5, 0, 10, false, 16, userData);\r\n\t\t\t\t\r\n\t\t\t\tthis.signedValueTester(roc, i, o, String[][].class, true);\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "void keySequenceSoftFailure();", "@Test\n public void hailStoneOne(){\n List<Integer> expected = new ArrayList<>();\n expected.add(1);\n assertThat(ComputeStuff.hailstoneSequence(1),is(expected));\n }", "@Test\r\n\tpublic void testPositiveGenerateSignedIntegerSequences_2() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tHashMap<String,Object> o = roc.generateSignedIntegerSequences(3, 5, 0, 10, false, 10, userData);\r\n\t\t\t\t\r\n\t\t\t\tthis.signedValueTester(roc, i, o, int[][].class, true);\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "public void setSeq(Integer seq) {\n this.seq = seq;\n }", "public void setSeq(Integer seq) {\n this.seq = seq;\n }", "public void setSeq(Integer seq) {\n this.seq = seq;\n }", "@Test\r\n\tpublic void testPositiveGenerateIntegerSequences_4() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tint[][] response = roc.generateIntegerSequences(3, 5, 0, 10, false, identifier);\r\n\t\t\t\tcollector.checkThat(response, notNullValue());\r\n\t\t\t\t\r\n\t\t\t\tint[][] response2 = roc.generateIntegerSequences(3, 5, 0, 10, false, identifier);\r\n\t\t\t\tcollector.checkThat(response, equalTo(response2));\r\n\t\t\t\t\r\n\t\t\t\tresponse = roc.generateIntegerSequences(3, 5, 0, 10, false, date);\r\n\t\t\t\tcollector.checkThat(response, notNullValue());\r\n\t\t\t\t\r\n\t\t\t\tresponse2 = roc.generateIntegerSequences(3, 5, 0, 10, false, date);\r\n\t\t\t\tcollector.checkThat(response, equalTo(response2));\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "public boolean book1(int start, int end) {\n \n Integer prevSlotX = slots1.floorKey(start);\n if (prevSlotX!=null && slots1.get(prevSlotX) > start )\n return false;\n \n Integer nextSlotX = slots1.ceilingKey(start);\n if (nextSlotX!=null && nextSlotX < end) return false;\n \n slots1.put(start, end);\n return true;\n }", "public void test800324() {\n TaskSeries s1 = new TaskSeries(\"S1\");\n s1.add(new Task(\"Task 1\", new SimpleTimePeriod(new Date(), new Date())));\n s1.add(new Task(\"Task 2\", new SimpleTimePeriod(new Date(), new Date())));\n s1.add(new Task(\"Task 3\", new SimpleTimePeriod(new Date(), new Date())));\n TaskSeriesCollection tsc = new TaskSeriesCollection();\n tsc.add(s1);\n try {\n tsc.getStartValue(0, 3);\n assertTrue(false);\n } catch (IndexOutOfBoundsException e) {\n }\n try {\n tsc.getEndValue(0, 3);\n assertTrue(false);\n } catch (IndexOutOfBoundsException e) {\n }\n try {\n tsc.getSubIntervalCount(0, 3);\n assertTrue(false);\n } catch (IndexOutOfBoundsException e) {\n }\n }", "@Test\r\n\tpublic void testPositiveGenerateIntegerSequences_1() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tcollector.checkThat(roc.generateIntegerSequences(3, 5, 0, 10), notNullValue());\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "private int storeWithUniqueIndices(final SessionWrapper session) {\n\t\tint id=0;\n\t\twhile (id==0) {\n\t\t\ttry {\n\t\t\t\tid=super.store(session);\n\t\t\t}\n\t\t\tcatch (final ConstraintViolationException e) {\n\t\t\t\tthis.index++;\n\t\t\t}\n\t\t\tcatch (final RuntimeException e) {\n\t\t\t\tthrow e;\n\t\t\t}\n\t\t}\n\t\treturn id;\n\t}", "@Test\n\tpublic void testRun1() {\n\t\n\t\tRingSum s = new RingSum(3);\n\t\tfor( int i = 0; i < 120; ++i )\n\t\t{\n\t\t\ts.push(0);\n\t\t\ts.push(1);\n\t\t\ts.push(0);\n\t\t\tassertTrue(s.get() == 1);\n\t\t}\n\t\t\n\t}", "void keySequencePassed();", "private static void testDiskSeq(Disk p1, Disk p2, Disk p3, Disk p4, Disk p5)\n\t{\n\t\tSystem.out.println(\"Initial tests\");\n\t\t\n\t\tDiskSeq ps = new DiskSeq();\n\t\ttest(ps,0,\"empty\");\n\n\t\tif (failed != 0) {\n\t\t\tSystem.out.println(\"ADT too broken (1): skipping remaining tests\");\n\t\t\treturn;\n\t\t}\n\n\t\tps.insert(p1);\n\t\ttest(ps,0,\"{p1}\",p1);\n\n\t\tif (failed != 0) {\n\t\t\tSystem.out.println(\"ADT too broken (2): skipping remaining tests\");\n\t\t\treturn;\n\t\t}\n\n\t\tps.start();\n\t\tps.insert(p2);\n\t\ttest(ps,0,\"{p2,p1}\",p2,p1);\n\t\t\n\t\tif (failed != 0) {\n\t\t\tSystem.out.println(\"ADT too broken (3): skipping remaining tests\");\n\t\t\treturn;\n\t\t}\n\n\t\tps.start();\n\t\tps.insert(p3);\n\t\ttest(ps,0,\"{p3,p2,p1}\",p3,p2,p1);\n\t\t\n\t\tif (failed != 0) {\n\t\t\tSystem.out.println(\"ADT too broken (4): skipping remaining tests\");\n\t\t\treturn;\n\t\t}\n\n\t\t\n\t\t//// Main tests\n\t\t\n\t\t// After this point, we can assume addBefore correctly works\n\t\t// in a newly created sequence when adding at the beginning of the sequence.\n\t\t// We will construct sequences with this limitation for use in all remaining tests.\n\n\n\t\t/// Check addBefore in other situations:\n\t\tSystem.out.println(\"Testing insert in other situations\");\n\t\t\n\t\t// at end of single element sequence\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.advance(); \n\t\tps.insert(p3);\n\t\ttest(ps,1,\"{p1,p3}\",p1,p3);\n\t\t\n\t\t// in between two elements in a sequence\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.advance();\n\t\tps.insert(p3);\n\t\ttest(ps,1,\"{p2,p3,p1}\",p2,p3,p1);\n\t\t\n\t\t// at end of two element sequence\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.advance();\n\t\tps.advance();\n\t\tps.insert(p3);\n\t\ttest(ps,2,\"{p2,p1,p3}\",p2,p1,p3);\n\t\t\n\t\t\n\t\t\n\t\t\n\t\t/// Checking removeCurrent\n\t\tSystem.out.println(\"Testing removeCurrent()\");\n\t\t\n\t\t// removing only element\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.removeCurrent();\n\t\ttest(ps,0,\"{}\");\n\t\t\n\t\t// removing first of two elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.removeCurrent();\n\t\ttest(ps,0,\"{p1}\",p1);\n\t\t\n\t\t// removing second of two elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.advance();\n\t\tps.removeCurrent();\n\t\ttest(ps,1,\"{p2}\",p2);\n\t\t\n\t\t// removing first of three elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\tps.removeCurrent();\n\t\ttest(ps,0,\"{p2,p1}\",p2,p1);\n\t\t\n\t\t// removing second of three elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\tps.advance();\n\t\tps.removeCurrent();\n\t\ttest(ps,1,\"{p3,p1}\",p3,p1);\n\t\t\n\t\t// removing third of three elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\tps.advance();\n\t\tps.advance();\n\t\tps.removeCurrent();\n\t\ttest(ps,2,\"{p3,p2}\",p3,p2);\n\t\t\n\t\t// removing first of four elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\tps.insert(p4);\n\t\tps.removeCurrent();\n\t\ttest(ps,0,\"{p3,p2,p1}\",p3,p2,p1);\n\t\t\n\t\t// removing second of four elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\tps.insert(p4);\n\t\tps.advance();\n\t\tps.removeCurrent();\n\t\ttest(ps,1,\"{p4,p2,p1}\",p4,p2,p1);\n\t\t\n\t\t// removing third of four elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\tps.insert(p4);\n\t\tps.advance();\n\t\tps.advance();\n\t\tps.removeCurrent();\n\t\ttest(ps,2,\"{p4,p3,p1}\",p4,p3,p1);\n\t\t\n\t\t// removing fourth of four elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\tps.insert(p4);\n\t\tps.advance();\n\t\tps.advance();\n\t\tps.advance();\n\t\tps.removeCurrent();\n\t\ttest(ps,3,\"{p4,p3,p2}\",p4,p3,p2);\n\t\t\n\t\t\n\t\t\n\t\t/// Checking clone\n\t\tSystem.out.println(\"Testing clone()\");\n\t\t\n\t\tps = new DiskSeq();\n\t\ttestClone(ps,0,\"{}\");\n\t\t\n\t\t// cloning only element\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\ttestClone(ps,0,\"{p1}\",p1);\n\t\t\n\t\t// cloning first of two elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\ttestClone(ps,0,\"{p2,p1}\",p2,p1);\n\t\t\n\t\t// cloning second of two elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.advance();\n\t\ttestClone(ps,1,\"{p2,p1}\",p2,p1);\n\t\t\n\t\t// clone with two elements, no current\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.advance();\n\t\tps.advance();\n\t\ttestClone(ps,2,\"{p2,p1}\",p2,p1);\n\t\t\n\t\t// cloning first of three elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\ttestClone(ps,0,\"{p3,p2,p1}\",p3,p2,p1);\n\t\t\n\t\t// cloning second of three elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\tps.advance();\n\t\ttestClone(ps,1,\"{p3,p2,p1}\",p3,p2,p1);\n\t\t\n\t\t// cloning third of three elements\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\tps.advance();\n\t\tps.advance();\n\t\ttestClone(ps,2,\"{p3,p2,p1}\",p3,p2,p1);\n\t\t\n\t\t// cloning with three elements, no current\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.insert(p3);\n\t\tps.advance();\n\t\tps.advance();\n\t\tps.advance();\n\t\ttestClone(ps,3,\"{p3,p2,p1}\",p3,p2,p1);\n\n\t\t\n\t\t\n\t\t//// Final Tests\n\t\t\n\t\t// There's no point doing these final tests if errors happened earlier.\n\t\tif (failed != 0) {\n\t\t\tSystem.out.println(\"Errors found, skipping insertAll and exception tests\");\n\t\t\treturn;\n\t\t}\n\t\t\n\t\t\n\t\t/// Checking addAll\n\t\tSystem.out.println(\"Testing insertAll()\");\n\n\t\tfor (int n1 = 0; n1 <= 3; ++n1) {\n\t\t\tfor (int n2 = 0; n2 <= 3; ++n2) {\n\t\t\t\tDiskSeq ps1 = new DiskSeq();\n\t\t\t\tDiskSeq ps2 = new DiskSeq();\n\t\t\t\tif (n1 > 0) ps1.insert(p1);\n\t\t\t\tif (n1 > 1) ps1.insert(p2);\n\t\t\t\tif (n1 > 2) ps1.insert(p3);\n\t\t\t\tif (n2 > 0) ps2.insert(p5);\n\t\t\t\tif (n2 > 1) ps2.insert(p4);\n\t\t\t\tif (n2 > 2) ps2.insert(p3);\t\t\t\t\n\t\t\t\tSystem.out.print(\" \" + n1 + n2);\n\t\t\t\ttestAddAll(ps1,ps2);\n\t\t\t}\n\t\t}\n\t\tSystem.out.println();\n\t\t\n\n\t\t/// Checking errors\n\t\tSystem.out.println(\"Testing exceptions\");\n\t\t\n\t\tps = new DiskSeq();\n\t\ttry {\n\t\t\tps.getCurrent();\n\t\t\ttest(false,\"getCurrent() succeeded on empty list\");\n\t\t} catch (IllegalStateException ex) {\n\t\t\t// OK\n\t\t} catch (RuntimeException ex) {\n\t\t\ttest(false,\"threw wrong exception: \" + ex);\n\t\t}\n\t\ttest(ps,0,\"{}'\");\n\t\t\n\t\tps = new DiskSeq();\n\t\ttry {\n\t\t\tps.advance();\n\t\t\ttest(false,\"advance() succeeded on empty list\");\n\t\t} catch (IllegalStateException ex) {\n\t\t\t// OK\n\t\t} catch (RuntimeException ex) {\n\t\t\ttest(false,\"threw wrong exception: \" + ex);\n\t\t}\n\t\ttest(ps,0,\"{}'\");\n\t\t\n\t\tps = new DiskSeq();\n\t\ttry {\n\t\t\tps.removeCurrent();\n\t\t\ttest(false,\"removeCurrent() succeeded on empty list\");\n\t\t} catch (IllegalStateException ex) {\n\t\t\t// OK\n\t\t} catch (RuntimeException ex) {\n\t\t\ttest(false,\"threw wrong exception: \" + ex);\n\t\t}\n\t\ttest(ps,0,\"{}'\");\n\t\t\n\t\t\n\t\t// with one element:\n\t\t\n\t\tps.insert(p1);\n\t\tps.advance();\n\t\ttry {\n\t\t\tps.getCurrent();\n\t\t\ttest(false,\"getCurrent() succeeded at end of one element list\");\n\t\t} catch (IllegalStateException ex) {\n\t\t\t// OK\n\t\t} catch (RuntimeException ex) {\n\t\t\ttest(false,\"threw wrong exception: \" + ex);\n\t\t}\n\t\ttest(ps,1,\"{p1}'\",p1);\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.advance();\n\t\ttry {\n\t\t\tps.advance();\n\t\t\ttest(false,\"advance() succeeded at end of one element list\");\n\t\t} catch (IllegalStateException ex) {\n\t\t\t// OK\n\t\t} catch (RuntimeException ex) {\n\t\t\ttest(false,\"threw wrong exception: \" + ex);\n\t\t}\n\t\ttest(ps,1,\"{p1}'\",p1);\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.advance();\n\t\ttry {\n\t\t\tps.removeCurrent();\n\t\t\ttest(false,\"removeCurrent() succeeded at end of one element list\");\n\t\t} catch (IllegalStateException ex) {\n\t\t\t// OK\n\t\t} catch (RuntimeException ex) {\n\t\t\ttest(false,\"threw wrong exception: \" + ex);\n\t\t}\n\t\ttest(ps,1,\"{p1}'\",p1);\n\n\t\t\n\t\t// with two elements:\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.advance();\n\t\tps.advance();\n\t\ttry {\n\t\t\tps.getCurrent();\n\t\t\ttest(false,\"getCurrent() succeeded at end of two element list\");\n\t\t} catch (IllegalStateException ex) {\n\t\t\t// OK\n\t\t} catch (RuntimeException ex) {\n\t\t\ttest(false,\"threw wrong exception: \" + ex);\n\t\t}\n\t\ttest(ps,2,\"{p2,p1}'\",p2,p1);\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.advance();\n\t\tps.advance();\n\t\ttry {\n\t\t\tps.advance();\n\t\t\ttest(false,\"advance() succeeded at end of two element list\");\n\t\t} catch (IllegalStateException ex) {\n\t\t\t// OK\n\t\t} catch (RuntimeException ex) {\n\t\t\ttest(false,\"threw wrong exception: \" + ex);\n\t\t}\n\t\ttest(ps,2,\"{p2,p1}'\",p2,p1);\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insert(p2);\n\t\tps.advance();\n\t\tps.advance();\n\t\ttry {\n\t\t\tps.removeCurrent();\n\t\t\ttest(false,\"removeCurrent() succeeded at end of two element list\");\n\t\t} catch (IllegalStateException ex) {\n\t\t\t// OK\n\t\t} catch (RuntimeException ex) {\n\t\t\ttest(false,\"threw wrong exception: \" + ex);\n\t\t}\n\t\ttest(ps,2,\"{p2,p1}'\",p2,p1);\n\t\n\t\t\n\t\t// There's no point doing the self tests if errors happened earlier.\n\t\tif (failed != 0) {\n\t\t\tSystem.out.println(\"Errors found, skipping insertAll self tests\");\n\t\t\treturn;\n\t\t}\n\t\tSystem.out.println(\"Testing insertAll with self.\");\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insertAll(ps);\n\t\ttest(ps,0,\"{}\");\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.insertAll(ps);\n\t\ttest(ps,0,\"{p1,p1}\",p1,p1);\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p1);\n\t\tps.advance();\n\t\tps.insertAll(ps);\n\t\ttest(ps,1,\"{p1,p1}\",p1,p1);\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p2);\n\t\tps.insert(p1);\n\t\tps.insertAll(ps);\n\t\ttest(ps,0,\"{p1,p2,p1,p2}\",p1,p2,p1,p2);\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p2);\n\t\tps.insert(p1);\n\t\tps.advance();\n\t\tps.insertAll(ps);\n\t\ttest(ps,1,\"{p1,p1,p2,p2}\",p1,p1,p2,p2);\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p2);\n\t\tps.insert(p1);\n\t\tps.advance();\n\t\tps.advance();\n\t\tps.insertAll(ps);\n\t\ttest(ps,2,\"{p1,p2,p1,p2}\",p1,p2,p1,p2);\n\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p3);\n\t\tps.insert(p2);\n\t\tps.insert(p1);\n\t\tps.insertAll(ps);\n\t\ttest(ps,0,\"{p1,p2,p3,p1,p2,p3}\",p1,p2,p3,p1,p2,p3);\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p3);\n\t\tps.insert(p2);\n\t\tps.insert(p1);\n\t\tps.advance();\n\t\tps.insertAll(ps);\n\t\ttest(ps,1,\"{p1,p1,p2,p3,p2,p3}\",p1,p1,p2,p3,p2,p3);\n\t\t\n\t\tps = new DiskSeq();\n\t\tps.insert(p3);\n\t\tps.insert(p2);\n\t\tps.insert(p1);\n\t\tps.advance();\n\t\tps.advance();\n\t\tps.insertAll(ps);\n\t\ttest(ps,2,\"{p1,p2,p1,p2,p3,p3}\",p1,p2,p1,p2,p3,p3);\n\n\t\tps = new DiskSeq();\n\t\tps.insert(p3);\n\t\tps.insert(p2);\n\t\tps.insert(p1);\n\t\tps.advance();\n\t\tps.advance();\n\t\tps.advance();\n\t\tps.insertAll(ps);\n\t\ttest(ps,3,\"{p1,p2,p3,p1,p2,p3}\",p1,p2,p3,p1,p2,p3);\n\t\n\t}", "private void check() {\n if (s[s.length-1] != null) {\n for (int i = 0; i < N; i++) {\n s[i] = s[first+i];\n s[first+i] = null;\n }\n first = 0;\n }\n }", "public static List<Integer> dynamicProgrammingRecover(List<Integer> sequence) {\r\n\t\tList<Integer> result = new ArrayList<Integer>();\r\n\t\tStack<Integer> backwardsOrder = new Stack<Integer>();\r\n\t\tint lastElem = sequence.size() - 1;\r\n\t\tbackwardsOrder.push(lastElem);\r\n\t\t\r\n\t\twhile(lastElem > 0) {\r\n\t\t\tlastElem = sequence.get(lastElem);\r\n\t\t\tbackwardsOrder.push(lastElem);\r\n\t\t}\r\n\t\t\r\n\t\twhile(!backwardsOrder.isEmpty()) {\r\n\t\t\tresult.add(backwardsOrder.pop());\r\n\t\t}\r\n\t\t\r\n\t\treturn result;\r\n\t}", "@Test\n\tpublic void test() {\n\t\tlong firstID = UIDGen.getInstance().getNextId();\n\t\tint n = 100;\n\t\tfor (int i = 0; i < n; i++) {\n\t\t\tUIDGen.getInstance().getNextId();\n\t\t}\n\t\tlong currentID = UIDGen.getInstance().getNextId();\n\t\tassertEquals(currentID, firstID + n + 1);\n\n\t\t// expect a IDInvalidException exception for using and\n\t\t// external id that has already been used\n\t\tlong exteranlId = currentID;\n\t\tThrowable caught = null;\n\t\ttry {\n\t\t\tUIDGen.getInstance().considerExternalId(exteranlId);\n\t\t} catch (Throwable t) {\n\t\t\tcaught = t;\n\t\t}\n\t\tassertNotNull(caught);\n\t\tassertSame(IDInvalidException.class, caught.getClass());\n\n\t\t// push an external id that is not used and expect no exception\n\t\texteranlId = currentID + 2;\n\t\ttry {\n\t\t\tUIDGen.getInstance().considerExternalId(exteranlId);\n\t\t} catch (Throwable t) {\n\t\t\tfail();\n\t\t}\n\n\t\t// expect an exception as we put the same id again\n\t\texteranlId = currentID;\n\t\tcaught = null;\n\t\ttry {\n\t\t\tUIDGen.getInstance().considerExternalId(exteranlId);\n\t\t} catch (Throwable t) {\n\t\t\tcaught = t;\n\t\t}\n\t\tassertNotNull(caught);\n\t\tassertSame(IDInvalidException.class, caught.getClass());\n\n\t\t// must skip currentID + 2 as it was defined as an external id\n\t\tassertEquals(UIDGen.getInstance().getNextId(), currentID + 1);\n\t\tassertEquals(UIDGen.getInstance().getNextId(), currentID + 3);\n\t}", "boolean hasSeq();", "@Test\r\n\tpublic void testIntegerSequenceCache_2() {\n\t\tRandomOrgCache<String[][]> c = rocs[0].createIntegerSequenceCache(2, 5, 0, 10, false, 16, 3);\r\n\t\tc.stop();\r\n\r\n\t\ttry {\r\n\t\t\tc.get();\r\n\t\t\tcollector.addError(new Error(\"should have thrown NoSuchElementException\"));\r\n\t\t} catch (NoSuchElementException e) {}\r\n\t\t\r\n\t\tc.resume();\r\n\t\t\r\n\t\tString[][] got = null;\r\n\t\t\r\n\t\twhile (got == null) {\r\n\t\t\ttry {\r\n\t\t\t\tgot = c.get();\r\n\t\t\t} catch (NoSuchElementException e) {\r\n\t\t\t\ttry {\r\n\t\t\t\t\tThread.sleep(50);\r\n\t\t\t\t} catch (InterruptedException e1) {\r\n\t\t\t\t\tcollector.addError(new Error(\"shouldn't have been interrupted!\"));\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\tcollector.checkThat(got, notNullValue());\r\n\t}", "void receiveSequenceNumber() {\r\n\t\t\r\n\t}", "public int[] Version1(int[] seq){\n \n return seq;\n \n }", "public void testInsert() {\n test1.insert(new Buffer(3, rec));\n test1.insert(new Buffer(3, rec));\n test1.insert(new Buffer(3, rec));\n test1.insert(new Buffer(3, rec));\n test1.insert(new Buffer(3, rec));\n test1.insert(new Buffer(3, rec));\n assertEquals(6, test1.length());\n }", "public boolean insert(Record r) \n\t{\n\t\tfill(); //Adjust the load factor\n\t\tint hash = toHashKey(r.key); //Find r's hash value\n\t\tint baseValue = baseHash(hash,length)%length; //Initial slot # to try\n\t\tif (Table[baseValue].hash == -1 \|\| Table[baseValue].hash == -2){// Is slot empty or full respectively?\n\t\t\tr.placement = baseValue; //set records value to know its placement in slot\n\t\t\tTable[baseValue] = r; // put record into slot\n\t\t\treturn true;\n\t\t}\n\t\telse {\n\t\t\tint step = stepHash(hash,length); //finds incrementor value\n\t\t\tint current = (baseValue + step)% length; //checks first slot after base\n\t\t\twhile (current != baseValue){ //cycle through table until reaching first value again\n\t\t\t\tif (Table[current].hash == -1 \|\| Table[current].hash == -2){ // Is slot empty or full respectively?\n\t\t\t\t\tr.placement = current; //set records value to know its placement in slot\n\t\t\t\t\tTable[current] = r;// put record into slot\n\t\t\t\t\treturn true;\n\t\t\t\t}\n\t\t\t\telse {\n\t\t\t\t\tcurrent = (current + step) % length; //Cycle through table without going over the newlength\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn false; \n\t\t}\n\t}", "@Test\r\n\tpublic void testPositiveGenerateSignedIntegerSequences_8() {\n\t\tint i = 1;\r\n\t\t\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tHashMap<String,Object> o = roc.generateSignedIntegerSequences(4, LENGTH, MIN, MAX, REPLACEMENT, BASE, userData);\r\n\t\t\t\t\r\n\t\t\t\tthis.signedValueTester(roc, i, o, String[][].class, true);\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "@Test\r\n\tpublic void testLastElementInHeadOfL11() {\r\n\t\tl1 = Arrays.asList(1,2);\r\n\t\tl2 = Arrays.asList(2,1);\r\n\t\tassertTrue(\"The list L1 is a subseq of L2\", sequencer.subSeq(l1, l2));\r\n\t}", "void example13() {\n\t\t\n\t\t// create a list of zeroes\n\t\t\n\t\tIndexedDataSource<Float64Member> list =\n\t\t\t\tnom.bdezonia.zorbage.storage.Storage.allocate(G.DBL.construct(), 1000);\n\n\t\t// now setup a view that will increment by 3 starting at the list[4] and steps\n\t\t// up to 100 times.\n\t\t\n\t\tIndexedDataSource<Float64Member> seqData =\n\t\t\t\tnew SequencedDataSource<Float64Member>(list, 4, 3, 100);\n\n\t\tseqData.size(); // size == 100\n\t\t\n\t\t// now set a bunch of values\n\t\t\n\t\tFloat64Member value = G.DBL.construct();\n\t\t\n\t\tfor (long i = 0; i < seqData.size(); i++) {\n\t\t\tvalue.setV(i);\n\t\t\tseqData.set(i, value);\n\t\t}\n\t\t\n\t\t// data = [0, 0, 0, 0, 1, 0, 0, 2, 0, 0, 3, 0, 0, 4, 0, 0, 5, 0, 0, ...]\n\t}", "private void changeVlaue(int p1, int p2, int value) {\n if (p1 > count() \|\| p1 < 1) { // range exception\n throw new IllegalArgumentException(\"out of N range\");\n }\n if (p2 > count() \|\| p2 < 1) { // range exception\n throw new IllegalArgumentException(\"out of N range\");\n }\n if (value > 1 \|\| value < 0) { // range exception\n throw new IllegalArgumentException(\"out of N range\");\n }\n\n id[p1 - 1][p2 - 1] = value; // set a node to 1 or 0\n }", "private int nextValidID() {\n return nextId++;\n }", "private void storeSequence128(long[] longs, int index ){\n if (longs != null) {\n int len = longs.length;\n\n int chunks = (len - 1) / NUM_LONG_IN_CHUNK + 1;\n int position;\n GetDnaBitStringFragmentKey key;\n long[] writeMe = new long[4];\n\n int chunk;\n for (chunk = 0; chunk < chunks-1; chunk++) {\n position = chunk 128;\n key = new GetDnaBitStringFragmentKey(index, position);\n for (int k = 0; k < 4; k++) {\n writeMe[k] = longs[k + position / 32];\n }\n\n// System.err.println(key+\"\\t\"+key.key+\"\\t\"+ Arrays.toString(writeMe));\n sequence128db.put(key.toBytes(), RocksDbKlue.longArrayToBytes(writeMe));\n }\n\n //last chunk may be short\n position = chunk * 128;\n key = new GetDnaBitStringFragmentKey(index, position);\n for (int k = 0; k < 4; k++) {\n if (k + position / 32 < longs.length){\n writeMe[k] = longs[k + position / 32];\n } else {\n writeMe[k] = 0L;\n }\n }\n\n sequence128db.put(key.toBytes(), RocksDbKlue.longArrayToBytes(writeMe));\n }\n }", "@Test\n public void testHasDups() {\n var arg = new String[] {\"a\",\"b\",\"c\"};\n Sequence instance = new Sequence();\n boolean expResult = false;\n boolean result = instance.hasDups(arg);\n assertEquals(expResult, result);\n }", "public static int step() {\n if (instructions_addr.get(line_count) == null) {\n // System.exit(1);\n return -1;\n }\n String[] in = (instructions_addr.get(line_count)).split(\"\\\\s+\");\n int r1 = 0;\n int r2 = 0;\n int r3 = 0;\n try {\n r1 = registers.get(in[1]);\n r2 = registers.get(in[2]);\n r3 = registers.get(in[3]);\n } catch (NullPointerException npe) {\n // sike no exception\n } catch (ArrayIndexOutOfBoundsException e) {\n\n }\n System.out.println(line_count+Arrays.toString(in));\n String op = in[0];\n switch (op) {\n case \"add\":\n register[r1] = register[r2] + register[r3];\n line_count = line_count + 1;\n break;\n\n case \"sub\":\n register[r1] = register[r2] - register[r3];\n line_count = line_count + 1;\n break;\n\n case \"addi\":\n register[r1] = register[r2] + Integer.parseInt(in[3]);\n line_count = line_count + 1;\n break;\n\n case \"beq\":\n if (register[r1] == register[r2]) {\n actual(1);\n line_count = labels_addr.get(in[3]);\n } else {\n actual(0);\n line_count++;\n }\n break;\n\n case \"bne\":\n if (register[r1] != register[r2]) {\n line_count = labels_addr.get(in[3]);\n actual(1);\n } else {\n line_count = line_count + 1;\n actual(0);\n }\n break;\n\n case \"or\":\n register[r1] = register[r2] \| register[r3];\n line_count = line_count + 1;\n break;\n\n case \"and\":\n register[r1] = register[r2] & register[r3];\n line_count = line_count + 1;\n break;\n\n case \"sll\":\n register[r1] = register[r2] << Integer.parseInt(in[3]);\n line_count = line_count + 1;\n break;\n\n case \"slt\":\n if (register[r2] < register[r3]) {\n register[r1] = 1;\n } else {\n register[r1] = 0;\n }\n line_count = line_count + 1;\n break;\n\n case \"lw\":\n r2 = Integer.parseInt(in[2].substring(0, in[2].indexOf(\"(\")));\n r3 = registers.get(in[3].substring(0, in[3].indexOf(\")\"))); // imm\n register[r1] = data_mem[r2 + register[r3]];\n line_count = line_count + 1;\n break;\n\n case \"sw\":\n r2 = Integer.parseInt(in[2].substring(0, in[2].indexOf(\"(\")));\n r3 = registers.get(in[3].substring(0, in[3].indexOf(\")\"))); // imm\n data_mem[r2 + register[r3]] = register[r1];\n line_count = line_count + 1;\n break;\n\n case \"j\":\n line_count = labels_addr.get(in[1]);\n break;\n\n case \"jr\":\n line_count = register[31];\n break;\n\n case \"jal\":\n register[31] = line_count + 1;\n line_count = labels_addr.get(in[1]);\n break;\n\n default:\n line_count = line_count + 1;\n }\n return 1;\n }", "@Test\r\n\tpublic void testPositiveGenerateSignedIntegerSequences_1() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tHashMap<String,Object> o = roc.generateSignedIntegerSequences(3, 5, 0, 10);\r\n\t\t\t\t\r\n\t\t\t\tthis.signedValueTester(roc, i, o, int[][].class);\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "void setSeq(long seq) {\n this.seq = seq;\n }", "@Test\r\n\tpublic void testPositiveGenerateIntegerSequences_9() {\n\t\tint i = 1;\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tint[][] response = roc.generateIntegerSequences(4, LENGTH, MIN, MAX, \r\n\t\t\t\t\t\tREPLACEMENT, identifier);\r\n\t\t\t\tcollector.checkThat(response, notNullValue());\r\n\t\t\t\t\r\n\t\t\t\tint[][] response2 = roc.generateIntegerSequences(4, LENGTH, MIN, MAX, \r\n\t\t\t\t\t\tREPLACEMENT, identifier);\r\n\t\t\t\tcollector.checkThat(response, equalTo(response2));\r\n\t\t\t\t\r\n\t\t\t\tresponse = roc.generateIntegerSequences(4, LENGTH, MIN, MAX, \r\n\t\t\t\t\t\tREPLACEMENT, date);\r\n\t\t\t\tcollector.checkThat(response, notNullValue());\r\n\t\t\t\t\r\n\t\t\t\tresponse2 = roc.generateIntegerSequences(4, LENGTH, MIN, MAX, \r\n\t\t\t\t\t\tREPLACEMENT, date);\r\n\t\t\t\tcollector.checkThat(response, equalTo(response2));\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "private void processCreateSequence() throws HsqlException {\n\n/\n CREATE SEQUENCE <name>\n [AS {INTEGER \| BIGINT}]\n [START WITH <value>]\n [INCREMENT BY <value>]\n/\n int type = Types.INTEGER;\n long increment = 1;\n long start = 0;\n String name = tokenizer.getName();\n boolean isquoted = tokenizer.wasQuotedIdentifier();\n HsqlName schemaname =\n session.getSchemaHsqlNameForWrite(tokenizer.getLongNameFirst());\n\n if (tokenizer.isGetThis(Token.T_AS)) {\n String typestring = tokenizer.getSimpleToken();\n\n type = Types.getTypeNr(typestring);\n\n Trace.check(type == Types.INTEGER \|\| type == Types.BIGINT,\n Trace.WRONG_DATA_TYPE);\n }\n\n if (tokenizer.isGetThis(Token.T_START)) {\n tokenizer.getThis(Token.T_WITH);\n\n start = tokenizer.getBigint();\n }\n\n if (tokenizer.isGetThis(Token.T_INCREMENT)) {\n tokenizer.getThis(Token.T_BY);\n\n increment = tokenizer.getBigint();\n }\n\n HsqlName hsqlname = database.nameManager.newHsqlName(name, isquoted);\n\n hsqlname.schema = schemaname;\n\n database.schemaManager.createSequence(hsqlname, start, increment,\n type);\n }", "public void getInteger(int seqid);", "public void testSequenceNumWrapAround() {\n\t\tByteStreamNALUnit[] stream = new ByteStreamNALUnit[70000];\n\t\tfor (int i = 0; i < stream.length; i++) {\n\t\t\tstream[i] = new ByteStreamNALUnit(START_CODE_4, SAMPLE_STREAM[3].nalUnit, i);\n\t\t}\n\n\t\tStreamVerifier verifier = new StreamVerifier(stream);\n\t\tSdlSession session = createTestSession();\n\t\tRTPH264Packetizer packetizer = null;\n\t\ttry {\n\t\t\tpacketizer = new RTPH264Packetizer(verifier, SessionType.NAV, SESSION_ID, session);\n\t\t} catch (IOException e) {\n\t\t\tfail();\n\t\t}\n\t\tMockVideoApp encoder = new MockVideoApp(packetizer);\n\n\t\ttry {\n\t\t\tpacketizer.start();\n\t\t} catch (IOException e) {\n\t\t\tfail();\n\t\t}\n\n\t\tencoder.inputByteStreamWithArray(stream);\n\t\ttry {\n\t\t\tThread.sleep(2000, 0);\n\t\t} catch (InterruptedException e) {}\n\n\t\tpacketizer.stop();\n\t\tassertEquals(stream.length, verifier.getPacketCount());\n\t}", "public static void main(String[] args) {\n int val = determineSequence(7);\n System.out.println(val);\n }", "public void m17237a(java.util.List<java.lang.Integer> r6) {\n /\n r5 = this;\n r0 = 0;\n if (r6 == 0) goto L_0x0009;\n L_0x0003:\n r1 = r6.size();\n if (r1 != 0) goto L_0x000a;\n L_0x0009:\n return;\n L_0x000a:\n r1 = r5.f20994d;\n r1.lock();\n r2 = r5.m17234d();\n r1 = \"\";\n L_0x0016:\n r3 = r6.size();\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n if (r0 >= r3) goto L_0x003b;\n L_0x001c:\n r3 = new java.lang.StringBuilder;\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r3.<init>();\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r1 = r3.append(r1);\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r3 = r6.get(r0);\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r1 = r1.append(r3);\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r3 = \",\";\n r1 = r1.append(r3);\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r1 = r1.toString();\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r0 = r0 + 1;\n goto L_0x0016;\n L_0x003b:\n r0 = r1.length();\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n if (r0 <= 0) goto L_0x006e;\n L_0x0041:\n r0 = 0;\n r3 = r1.length();\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r3 = r3 + -1;\n r0 = r1.substring(r0, r3);\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r1 = \"result\";\n r3 = new java.lang.StringBuilder;\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r3.<init>();\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r4 = \"_id in (\";\n r3 = r3.append(r4);\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r0 = r3.append(r0);\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r3 = \")\";\n r0 = r0.append(r3);\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r0 = r0.toString();\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n r3 = 0;\n r2.delete(r1, r0, r3);\t Catch:{ SQLiteException -> 0x0077, IllegalStateException -> 0x00a0, Exception -> 0x00c9 }\n L_0x006e:\n r2.close();\n r0 = r5.f20994d;\n r0.unlock();\n goto L_0x0009;\n L_0x0077:\n r0 = move-exception;\n r1 = \"SynthesizeResultDb\";\n r3 = new java.lang.StringBuilder;\t Catch:{ all -> 0x00f2 }\n r3.<init>();\t Catch:{ all -> 0x00f2 }\n r4 = \"exception:\";\n r3 = r3.append(r4);\t Catch:{ all -> 0x00f2 }\n r0 = r0.toString();\t Catch:{ all -> 0x00f2 }\n r0 = r3.append(r0);\t Catch:{ all -> 0x00f2 }\n r0 = r0.toString();\t Catch:{ all -> 0x00f2 }\n com.baidu.tts.chainofresponsibility.logger.LoggerProxy.m17001d(r1, r0);\t Catch:{ all -> 0x00f2 }\n r2.close();\n r0 = r5.f20994d;\n r0.unlock();\n goto L_0x0009;\n L_0x00a0:\n r0 = move-exception;\n r1 = \"SynthesizeResultDb\";\n r3 = new java.lang.StringBuilder;\t Catch:{ all -> 0x00f2 }\n r3.<init>();\t Catch:{ all -> 0x00f2 }\n r4 = \"exception:\";\n r3 = r3.append(r4);\t Catch:{ all -> 0x00f2 }\n r0 = r0.toString();\t Catch:{ all -> 0x00f2 }\n r0 = r3.append(r0);\t Catch:{ all -> 0x00f2 }\n r0 = r0.toString();\t Catch:{ all -> 0x00f2 }\n com.baidu.tts.chainofresponsibility.logger.LoggerProxy.m17001d(r1, r0);\t Catch:{ all -> 0x00f2 }\n r2.close();\n r0 = r5.f20994d;\n r0.unlock();\n goto L_0x0009;\n L_0x00c9:\n r0 = move-exception;\n r1 = \"SynthesizeResultDb\";\n r3 = new java.lang.StringBuilder;\t Catch:{ all -> 0x00f2 }\n r3.<init>();\t Catch:{ all -> 0x00f2 }\n r4 = \"exception:\";\n r3 = r3.append(r4);\t Catch:{ all -> 0x00f2 }\n r0 = r0.toString();\t Catch:{ all -> 0x00f2 }\n r0 = r3.append(r0);\t Catch:{ all -> 0x00f2 }\n r0 = r0.toString();\t Catch:{ all -> 0x00f2 }\n com.baidu.tts.chainofresponsibility.logger.LoggerProxy.m17001d(r1, r0);\t Catch:{ all -> 0x00f2 }\n r2.close();\n r0 = r5.f20994d;\n r0.unlock();\n goto L_0x0009;\n L_0x00f2:\n r0 = move-exception;\n r2.close();\n r1 = r5.f20994d;\n r1.unlock();\n throw r0;\n /\n throw new UnsupportedOperationException(\"Method not decompiled: com.baidu.tts.e.c.a(java.util.List):void\");\n }", "private void storeSp(int s) {\n UNSAFE.putOrderedInt(this, spOffset, s);\n }", "public static boolean insert(String value1,String value2,int counter) throws StorageException,InterruptedException{\n if(counter > 5){\n Thread.sleep(10000);\n }\n try {\n DummyDBJava.INSTANCE.put(value1, value2);\n }catch(StorageException ex){\n counter = counter+1;\n insert(value1 ,value2,counter);\n }\n return true;\n }", "@Test\n\tpublic void testFetchMappedValuesForConsecutiveInValidData() {\n\t\tString input = \"233015\";\n\t\tList<String> actualOutput = GeneralUtility.fetchMappedValues(input);\n\t\tAssert.assertArrayEquals(Collections.emptyList().toArray(), actualOutput.toArray());\n\t}", "public void put(String serial) {\r\n int[] s = stringToArray(serial);\r\n if (s.length == Math.pow(table.length, 2)) {\r\n int n = 0;\r\n for (int[] y : table) {\r\n for (int x = 0; x < y.length; x++) {\r\n n++;\r\n y[x] = s[n - 1];\r\n }\r\n }\r\n } else {\r\n // what if insert < 9 values \r\n }\r\n }", "public void testPersistence() {\n ImmutableSet<Integer> set = new ImmutableSet();\n for (int i = -50; i < 51; i++) {\n set.add(i);\n assertTrue(set.current != set.pastVersions.get(set.pastVersions.size()-1));\n }\n for(int i = -50; i < 51; i++) {\n set.remove(i);\n assertTrue(set.current != set.pastVersions.get(set.pastVersions.size()-1));\n }\n }", "static boolean E() {\n int save = next;\n if (E1()) return true;\n next = save; if (E2()) return true;\n next = save; if (E3()) return true;\n next = save; if (E4()) return true;\n next = save;\n return false;\n }", "void ensure(int count);", "public int check(){\r\n\r\n\treturn count ++;\r\n\t\r\n}", "@Test\r\n\tpublic void testPositiveGenerateSignedIntegerSequences_7() {\n\t\tint[] decimalBase = {10, 10, 10, 10};\r\n\t\tint i = 1;\r\n\t\t\r\n\t\tfor (RandomOrgClient roc : rocs) {\r\n\t\t\ttry {\r\n\t\t\t\tHashMap<String,Object> o = roc.generateSignedIntegerSequences(4, LENGTH, MIN, MAX, REPLACEMENT, decimalBase, userData);\r\n\t\t\t\t\r\n\t\t\t\tthis.signedValueTester(roc, i, o, int[][].class, true);\r\n\t\t\t} catch (Exception e) {\r\n\t\t\t\tcollector.addError(new Error(errorMessage(i, e, true)));\r\n\t\t\t}\r\n\t\t\ti++;\r\n\t\t}\r\n\t}", "boolean hasOriginseqnum();", "private void ensureMachineHasIndex(int i){\n\t\tif (theStates.size()<=i)\n\t\t\tfor (int j=theStates.size();j<=i;j++)\n\t\t\t\ttheStates.add(new State(j));\n\t}", "public boolean insert(int val) {\n if(hm.containsKey(val)){\n return false;\n }\n else{\n sub.add(val);\n hm.put(val,sub.size()-1);\n return true;\n }\n\n\n\n }", "private static boolean sliceIsValid(final int[] slice, final int flowOrderLength) {\n int consecutiveZeros = 0;\n for ( int key : slice ) {\n if ( key != 0 ) {\n consecutiveZeros = 0;\n } else {\n consecutiveZeros++;\n if ( consecutiveZeros >= (flowOrderLength - 1) ) {\n return false;\n }\n }\n }\n\n // if here, not found -> valid\n return true;\n }", "public void test_insert4(){\r\n\t\t//block1\r\n\t\tTimeTableData block1a=new TimeTableData();\r\n\t\tblock1a.setTime(0);\r\n\t\tblock1a.setReferenceId(0);\r\n\t\tTimeTableData block1b=new TimeTableData();\r\n\t\tblock1b.setTime(1000);\r\n\t\tblock1b.setReferenceId(3);\r\n\t\tList<TimeTableData> datas=Lists.newArrayList(block1a,block1b);\r\n\t\tTimeTableDataBlock block=new TimeTableDataBlock(datas);\r\n\t\tblock.setLoop(true);\r\n\t\tblock.setLoopTime(2);\r\n\t\tblock.setLoopInterval(1000);\r\n\t\t//block2\r\n\t\tTimeTableData block2a=new TimeTableData();\r\n\t\tblock2a.setTime(1500);\r\n\t\tblock2a.setReferenceId(7);\r\n\t\tTimeTableData block2b=new TimeTableData();\r\n\t\tblock2b.setTime(2750);\r\n\t\tblock2b.setReferenceId(8);\r\n\t\tList<TimeTableData> datas2=Lists.newArrayList(block2a,block2b);\r\n\t\tTimeTableDataBlock block2=new TimeTableDataBlock(datas2);\r\n\t\tblock2.setLoop(false);\r\n\t\t\r\n\t\tList<TimeTableDataBlock> blocks=Lists.newArrayList(block,block2);\r\n\t\texecute(blocks,\"insert4.txt\",0);\r\n\t}", "public boolean insert(int val) {\n nums.add(val); //在列表末尾添加的元素 O(1)\n Set<Integer> set = idx.getOrDefault(val, new HashSet<Integer>());\n set.add(nums.size()-1);\n idx.put(val,set);\n return set.size()==1;\n }", "boolean checkError() {\n Iterator<Integer> seq = sequence.iterator();\n Iterator<Integer> in = input.iterator();\n\n while (seq.hasNext() && in.hasNext()) {\n int a = seq.next();\n int b = in.next();\n if (a != b) {\n attempts++;\n return true;\n }\n }\n return false;\n }", "void setSequenceNumber(int sequenceNumber);", "public void evaluate_fixpoint_sequence() {\n // JOptionPane.showMessageDialog(null, \"Evaluating the Fixed Point-Sequence m[8]...m[17]\" );\n // DES_action_type = 0;\n int[][] init_fixedpoint_sequence = new int[10][32];\n // Initialisierung\n // for (int p=0; p<10; p++)\n // for (int t=0; t<32; t++)\n // init_fixedpoint_sequence[p][t] = 0;\n intialize_matrix(init_fixedpoint_sequence);\n DES_fixedpoint_sequence = init_fixedpoint_sequence;\n\n for (int j = 0; j < 32; j++) {\n DES_fixedpoint_sequence[0][j] = DES_m8[j];\n DES_fixedpoint_sequence[1][j] = DES_m8[j];\n }\n\n for (int i = 2; i < 10; i++) {\n int[] input_SBoxes = exclusive_or(expand_32bit(DES_fixedpoint_sequence[i - 1]), DES_K[i + 6]);\n int[] fmK = select(lookup_SBoxes(input_SBoxes), P);\n DES_fixedpoint_sequence[i] = exclusive_or(DES_fixedpoint_sequence[i - 2], fmK);\n }\n }", "@Test\n public void persistenceTest3()\n {\n // Initiate a blacklist and add some numbers to it\n Blacklist testBlacklist = new Blacklist();\n testBlacklist.addBlacklistedNumber(5555550123L);\n testBlacklist.addBlacklistedNumber(1234567890L);\n testBlacklist.addBlacklistedNumber(9876543210L);\n\n // Save and load the blacklist numbers\n m_fileSystem.saveBlacklistNumbers(testBlacklist);\n ArrayList<Long> loadedNumbers = m_fileSystem.loadBlacklistNumbers();\n\n // Set seen flags\n int firstMatch = 0;\n int secondMatch = 0;\n int thirdMatch = 0;\n\n // Go over all numbers, marking each number seen\n for(Long number : loadedNumbers)\n {\n if(number == 5555550123L)\n {\n firstMatch++;\n }\n else if(number == 1234567890L)\n {\n secondMatch++;\n }\n else if(number == 9876543210L)\n {\n thirdMatch++;\n }\n }\n\n // Make sure every number was seen exactly once\n assertEquals(firstMatch, 1);\n assertEquals(secondMatch, 1);\n assertEquals(thirdMatch, 1);\n }", "@Override\r\n public void resolve() {\r\n ste1.pointsTo.forEach(\r\n pO -> {\r\n pO.updateHeap(id2, ste3.pointsTo);\r\n }\r\n );\r\n this.resolveThis(id1, ste1);\r\n // System.out.print(\"After store: \");\r\n // ste1.print();\r\n // System.out.print(\"Nfter store: \");\r\n // ste3.print();\r\n }", "boolean isValidMove(int move)\n\t{\n\t\treturn move >= 0 && move <= state.size() - 1 && state.get(move) == 0;\n\t}", "@Test\n\tpublic void testMultipleAddConsistency() {\n\n\t\tcontroller.addNewNodes(2);\n\t\tSignalNode first = controller.getNodesToTest().getFirst();\n\t\tSignalNode last = controller.getNodesToTest().getLast();\n\n\t\tcontroller.addSignalsToNode(first, 10000);\n\n\t\ttry {\n\t\t\tSignal sig = src.next();\n\t\t\tResult r1 = first.findSimilarTo(sig);\n\t\t\tResult r2 = last.findSimilarTo(sig);\n\t\t\tAssert.assertEquals(r1, r2);\n\t\t} catch (RemoteException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\n\t}", "int insert(BusnessOrder record);", "int getSequenceNumber();", "public int size() { return seq.size(); }", "public int getSequenceNumber();", "private void check4(){\n \n if (errorCode == 0){\n int sum = 0;\n \n for(int i = 0; i < number.length();){\n sum += Integer.parseInt(number.substring(i, ++i));\n }\n \n if (sum % 4 != 0){\n valid = false;\n errorCode = 4;\n }\n }\n\t}", "@Test\n\tpublic void setSequenceNumberTest() {\n\t\tProductScanImageURIKey key = getDefaultKey();\n\t\tkey.setSequenceNumber(OTHER_SEQUENCE);\n\t\tAssert.assertEquals(OTHER_SEQUENCE, key.getSequenceNumber());\n\t}", "long getNextSequenceNumber();", "void mo54452q(int i);", "@Test\r\n public void sequentialHasNextInvocationDoesntAffectRetrievalOrder() {\r\n assertThat(it.hasNext(), is(true));\r\n assertThat(it.hasNext(), is(true));\r\n assertThat(it.next(), is(2));\r\n assertThat(it.next(), is(4));\r\n assertThat(it.next(), is(6));\r\n }", "private static void validListCheck(final List list) {\n final boolean[] testIndexSlots=new boolean[list.size()];\n Arrays.fill(testIndexSlots, false);\n int i=-1;\n try {\n\t for (i=0; i<list.size(); i++) {\n\t final ExerciseDetail exDetail=(ExerciseDetail)list.get(i);\n\t final int index=exDetail.getIndex();\n\t if (index<0) {\n\t throw new RuntimeException(\"The list of ExerciseDetails was not valid; negative index found.\");\n\t }\n\t if (testIndexSlots[index]) {\n\t throw new RuntimeException(\"The list of ExerciseDetails was not valid; two instances of the index '\"+index+\"' found.\");\n\t }\n\t testIndexSlots[index]=true;\n\t }\n }\n catch (final ArrayIndexOutOfBoundsException e) {\n throw new RuntimeException(\"The list of ExerciseDetails was not valid; the index '\"+i+\"' is out of range.\");\n }\n }", "public boolean insert(int val) {\n if (location.containsKey(val)) {\n return false;\n }\n\n nums.add(val);\n location.put(val, nums.size() - 1);\n return true;\n }", "public void test_insert3(){\r\n\t\t//block1\r\n\t\tTimeTableData block1a=new TimeTableData();\r\n\t\tblock1a.setTime(0);\r\n\t\tblock1a.setReferenceId(4);\r\n\t\tTimeTableData block1b=new TimeTableData();\r\n\t\tblock1b.setTime(1000);\r\n\t\tblock1b.setReferenceId(1);\r\n\t\tList<TimeTableData> datas=Lists.newArrayList(block1a,block1b);\r\n\t\tTimeTableDataBlock block=new TimeTableDataBlock(datas);\r\n\t\tblock.setLoop(true);\r\n\t\tblock.setLoopTime(2);\r\n\t\tblock.setLoopInterval(1000);\r\n\t\t//block2\r\n\t\tTimeTableData block2a=new TimeTableData();\r\n\t\tblock2a.setTime(1500);\r\n\t\tblock2a.setReferenceId(7);\r\n\t\tTimeTableData block2b=new TimeTableData();\r\n\t\tblock2b.setTime(2750);\r\n\t\tblock2b.setReferenceId(8);\r\n\t\tList<TimeTableData> datas2=Lists.newArrayList(block2a,block2b);\r\n\t\tTimeTableDataBlock block2=new TimeTableDataBlock(datas2);\r\n\t\tblock2.setLoop(false);\r\n\t\t\r\n\t\tList<TimeTableDataBlock> blocks=Lists.newArrayList(block,block2);\r\n\t\texecute(blocks,\"insert3.txt\",0);\r\n\t}", "public void add(Object o){\n if (n<sequence.length){\n// sequence[n]=o;\n// n++;\n sequence[n++]=o;\n }\n }", "private boolean isFirstMove(int numberGeneratedSoFarLength) {\n\t\treturn numberGeneratedSoFarLength == 1;\n\t}" ]	[ "0.5518114", "0.55150104", "0.55039984", "0.5407868", "0.53437203", "0.5337274", "0.52949566", "0.5281176", "0.52496994", "0.5226834", "0.5220585", "0.5215627", "0.5209132", "0.5207205", "0.5170292", "0.5166272", "0.5146792", "0.5146141", "0.5128682", "0.5128682", "0.5128682", "0.50860816", "0.50827664", "0.5073788", "0.50728446", "0.50670075", "0.5063596", "0.50487757", "0.50458777", "0.50379294", "0.50379294", "0.50379294", "0.4999929", "0.4985801", "0.4983942", "0.49814862", "0.4980886", "0.4977018", "0.49668956", "0.49654102", "0.49601638", "0.49404895", "0.49326864", "0.49312997", "0.49099407", "0.49093968", "0.4903981", "0.48949686", "0.4887035", "0.48868725", "0.48812777", "0.48798004", "0.48749352", "0.48732227", "0.486677", "0.48593104", "0.48587444", "0.485155", "0.4839303", "0.48384497", "0.48326853", "0.4830089", "0.48121756", "0.48053274", "0.4799573", "0.47984594", "0.4781964", "0.47766852", "0.47682652", "0.47646517", "0.4763873", "0.4754027", "0.4746375", "0.47424412", "0.47399676", "0.47369534", "0.47313517", "0.47176445", "0.47153035", "0.4704747", "0.47021186", "0.46977597", "0.46960697", "0.4694636", "0.4687724", "0.468067", "0.46790367", "0.46776098", "0.4676619", "0.46728146", "0.46719134", "0.46710607", "0.4663812", "0.46611407", "0.4660612", "0.46588957", "0.4657408", "0.46543297", "0.4654277", "0.46541128", "0.4653316" ]	0.0	-1
Initializes database. Creates database if doesn't exist.	private void initialize() { if (databaseExists()) { SharedPreferences prefs = PreferenceManager .getDefaultSharedPreferences(mContext); int dbVersion = prefs.getInt(SP_KEY_DB_VER, 1); if (DATABASE_VERSION != dbVersion) { File dbFile = mContext.getDatabasePath(DBNAME); if (!dbFile.delete()) { Log.w(TAG, "Unable to update database"); } } } if (!databaseExists()) { createDatabase(); } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "private void setupDatabase() {\r\n\t\tDatabaseHelperFactory.init(this);\r\n\t\tdatabase = DatabaseHelperFactory.getInstance();\r\n\t}", "private void initDb() {\n\t\tif (dbHelper == null) {\n\t\t\tdbHelper = new DatabaseOpenHelper(this);\n\t\t}\n\t\tif (dbAccess == null) {\n\t\t\tdbAccess = new DatabaseAccess(dbHelper.getWritableDatabase());\n\t\t}\n\t}", "private static void initializeDatabase()\n\t{\n\t\tResultSet resultSet = dbConnect.getMetaData().getCatalogs();\n\t\tStatment statement = dbConnect.createStatement();\n\t\t\n\t\tif (resultSet.next())\n\t\t{\n\t\t\tstatement.execute(\"USE \" + resultSet.getString(1));\n\t\t\tstatement.close();\n\t\t\tresultSet.close();\n\t\t\treturn; //A database exists already\n\t\t}\n\t\tresultSet.close();\n\t\t//No database exists yet, create it.\n\t\t\n\t\tstatement.execute(\"CREATE DATABASE \" + dbName);\n\t\tstatement.execute(\"USE \" + dbName);\n\t\tstatement.execute(createTableStatement);\n\t\tstatement.close();\n\t\treturn;\n\t}", "private void initDB() {\n dataBaseHelper = new DataBaseHelper(this);\n }", "public void initializeDataBase() {\r\n\r\n\r\n\r\n\t\tgetWritableDatabase();\r\n\t\tLog.e(\"DBHelper initializeDataBase \", \"Entered\");\r\n\t\tcreateDatabase = true;\r\n\t\tif (createDatabase) {\r\n\t\t\tLog.e(\"DBHelper createDatabase \", \"true\");\r\n\t\t\t/\r\n\t\t\t If the database is created by the copy method, then the creation\r\n\t\t\t * code needs to go here. This method consists of copying the new\r\n\t\t\t * database from assets into internal storage and then caching it.\r\n\t\t\t /\r\n\t\t\ttry {\r\n\t\t\t\t/\r\n\t\t\t\t * Write over the empty data that was created in internal\r\n\t\t\t\t * storage with the one in assets and then cache it.\r\n\t\t\t\t /\r\n\t\t\t\tcopyStream(DB_PATH_IN, new FileOutputStream(DB_PATH));\r\n\t\t\t}\r\n\t\t\tcatch (Exception e) \r\n\t\t\t{\r\n\t\t\t\tthrow new Error(\"Error copying database\");\r\n\t\t\t}\r\n\t\t} \r\n\t\telse if (upgradeDatabase) \r\n\t\t{\r\n\t\t\tLog.e(\"DBHelper upgradeDatabase \", \"true\");\r\n\t\t\ttry\r\n\t\t\t{\r\n\t\t\t\t/\r\n\t\t\t\t * Write over the empty data that was created in internal\r\n\t\t\t\t * storage with the one in assets and then cache it.\r\n\t\t\t\t /\r\n\t\t\t\tcopyStream(DB_PATH_IN, new FileOutputStream(DB_PATH));\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\tthrow new Error(\"Error copying database\");\r\n\t\t\t}\r\n\t\t}\r\n\t\tLog.e(\"DBHelper clear \", \"true\");\r\n\t}", "public void initDatabase() {\n Datastore mongoDataStore = DatabaseHandler.getInstance().getMongoDataStore();\n initUsers();\n initAccounts();\n mongoDataStore.save(users);\n }", "private void initDatabase() {\n\n String sql = \"CREATE TABLE IF NOT EXISTS books (\\n\"\n + \"\tISBN integer PRIMARY KEY,\\n\"\n + \"\tBookName text NOT NULL,\\n\"\n + \" AuthorName text NOT NULL, \\n\"\n + \"\tPrice integer\\n\"\n + \");\";\n\n try (Connection conn = DriverManager.getConnection(urlPath);\n Statement stmt = conn.createStatement()) {\n System.out.println(\"Database connected\");\n stmt.execute(sql);\n\n } catch (SQLException e) {\n System.out.println(e.getMessage());\n }\n }", "public void dbCreate() {\n Logger.write(\"INFO\", \"DB\", \"Creating database\");\n try {\n if (!Database.DBDirExists())\n Database.createDBDir();\n dbConnect(false);\n for (int i = 0; i < DBStrings.createDB.length; i++)\n execute(DBStrings.createDB[i]);\n } catch (Exception e) {\n Logger.write(\"FATAL\", \"DB\", \"Failed to create databse: \" + e);\n }\n }", "public Database()\r\n\t{\r\n\t\tinitializeDatabase();\r\n\t\t\r\n\t}", "public boolean initializeDatabase() {\n try {\n initializeCategory();\n initializeExpense();\n initializeIncome();\n initializeBalance();\n initializeUser();\n } catch (Throwable t) {\n\n System.out.println(t.getMessage());\n return false;\n }\n return true;\n }", "public void initDb() {\n String createVac = \"create table if not exists vacancies(id serial primary key,\"\n + \"name varchar(1500) NOT NULL UNIQUE, url varchar (1500), description text, dateVac timestamp);\";\n try (Statement st = connection.createStatement()) {\n st.execute(createVac);\n } catch (SQLException e) {\n LOG.error(e.getMessage());\n }\n }", "private void initDB(){\n gistHelper = new GistSQLiteHelper(mainActivity, \"GistsDB\", null, 1);\n db = gistHelper.getWritableDatabase();\n }", "protected void setupDB() {\n\t\tlog.info(\"------------------------------------------\");\n\t\tlog.info(\"Initialization database started\");\n\t\tlog.info(\"ddl: db-config.xml\");\n\t\tlog.info(\"------------------------------------------\");\n\t\ttry {\n\t\t\tfinal List<String> lines = Files.readAllLines(Paths.get(this.getClass()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.getClassLoader()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.getResource(\"create-campina-schema.sql\")\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.toURI()), Charset.forName(\"UTF-8\"));\n\n\t\t\tfinal List<String> statements = new ArrayList<>(lines.size());\n\t\t\tString statement = \"\";\n\t\t\tfor (String string : lines) {\n\t\t\t\tstatement += \" \" + string;\n\t\t\t\tif (string.endsWith(\";\")) {\n\t\t\t\t\tstatements.add(statement);\n\t\t\t\t\tstatement = \"\";\n\t\t\t\t}\n\t\t\t}\n\t\t\ttry (final Connection con = conManager.getConnection(Boolean.FALSE)) {\n\t\t\t\ttry (final PreparedStatement pstmt = con.prepareStatement(\"DROP SCHEMA IF EXISTS campina\")) {\n\t\t\t\t\tpstmt.executeUpdate();\n\t\t\t\t}\n\t\t\t\tfor (String string : statements) {\n\t\t\t\t\tlog.info(\"Executing ddl: \" + string);\n\t\t\t\t\ttry (final PreparedStatement pstmt = con.prepareStatement(string)) {\n\t\t\t\t\t\tpstmt.executeUpdate();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} catch (SQLException e) {\n\t\t\t\tthrow new IllegalStateException(\"Could not setup db\", e);\n\t\t\t}\n\t\t} catch (Throwable e) {\n\t\t\tlog.error(\"Could not setup database\", e);\n\t\t\tthrow new IllegalStateException(\"ddl file load failed\", e);\n\t\t}\n\t\tlog.info(\"------------------------------------------\");\n\t\tlog.info(\"Initialization database finished\");\n\t\tlog.info(\"------------------------------------------\");\n\t}", "@Before\n public void initDb() {\n mDatabase = Room.inMemoryDatabaseBuilder(InstrumentationRegistry.getContext(),\n ToDoDatabase.class).build();\n }", "public void dbCreate() throws IOException\n {\n boolean dbExist = dbCheck();\n\n if(!dbExist)\n {\n //By calling this method an empty database will be created into the default system patt\n //of the application so we can overwrite that db with our db.\n this.getReadableDatabase(); // create a new empty database in the correct path\n try\n {\n //copy the data from the database in the Assets folder to the new empty database\n copyDBFromAssets();\n }\n catch(IOException e)\n {\n throw new Error(\"Error copying database\");\n }\n }\n }", "private void initDB() {\n dataBaseHelper = new DataBaseHelper(getActivity());\n }", "@Override\n public Database getAndInitialize() throws IOException {\n Database database = Databases.createPostgresDatabaseWithRetry(\n username,\n password,\n connectionString,\n isDatabaseConnected(databaseName));\n\n new ExceptionWrappingDatabase(database).transaction(ctx -> {\n boolean hasTables = tableNames.stream().allMatch(tableName -> hasTable(ctx, tableName));\n if (hasTables) {\n LOGGER.info(\"The {} database has been initialized\", databaseName);\n return null;\n }\n LOGGER.info(\"The {} database has not been initialized; initializing it with schema: {}\", databaseName, initialSchema);\n ctx.execute(initialSchema);\n return null;\n });\n\n return database;\n }", "public void createDatabase() throws IOException {\n boolean dbExists = checkDatabase();\n\n if (dbExists) {\n // Do nothing - database already exists\n } else {\n // By calling this method an empty database will be created into the\n // default system path of our application so we are going to be able\n // to overwrite the database with our database.\n this.getReadableDatabase();\n\n try {\n copyDatabase();\n } catch (IOException e) {\n throw new Error(\"Error copying database\");\n }\n }\n }", "public void initDatabase(){\n CovidOpener cpHelper = new CovidOpener(this);\n cdb = cpHelper.getWritableDatabase();\n }", "private static void initializeDatabase() {\n\t\tArrayList<String> data = DatabaseHandler.readDatabase(DATABASE_NAME);\n\t\tAbstractSerializer serializer = new CineplexSerializer();\n\t\trecords = serializer.deserialize(data);\n\t}", "private void setupDatabase()\n {\n try\n {\n Class.forName(\"com.mysql.jdbc.Driver\");\n }\n catch (ClassNotFoundException e)\n {\n simpleEconomy.getLogger().severe(\"Could not load database driver.\");\n simpleEconomy.getServer().getPluginManager().disablePlugin(simpleEconomy);\n e.printStackTrace();\n }\n\n try\n {\n connection = DriverManager\n .getConnection(String.format(\"jdbc:mysql://%s/%s?user=%s&password=%s\",\n simpleEconomy.getConfig().getString(\"db.host\"),\n simpleEconomy.getConfig().getString(\"db.database\"),\n simpleEconomy.getConfig().getString(\"db.username\"),\n simpleEconomy.getConfig().getString(\"db.password\")\n ));\n\n // Loads the ddl from the jar and commits it to the database.\n InputStream input = getClass().getResourceAsStream(\"/ddl.sql\");\n try\n {\n String s = IOUtils.toString(input);\n connection.createStatement().execute(s);\n }\n catch (IOException e)\n {\n e.printStackTrace();\n }\n finally\n {\n try\n {\n input.close();\n }\n catch (IOException e)\n {\n e.printStackTrace();\n }\n }\n }\n catch (SQLException e)\n {\n simpleEconomy.getLogger().severe(\"Could not connect to database.\");\n simpleEconomy.getServer().getPluginManager().disablePlugin(simpleEconomy);\n e.printStackTrace();\n }\n }", "private void setupDatabase() throws SQLException {\n\t\tdb.open(\"localhost\", 3306, \"wow\", \"greeneconomyapple\");\n\t\tdb.use(\"auctionscan\");\n\t}", "Database createDatabase();", "public void createDatabase() throws IOException{\r\n\r\n boolean dbDoesExist = checkDatabase();\r\n if(!dbDoesExist)\r\n {\r\n // Create or open db if db is not connected\r\n this.getReadableDatabase();\r\n try{\r\n createNewDB();\r\n }catch (IOException e){\r\n throw new Error(\"DB Copy Failed\");\r\n }\r\n }\r\n }", "private boolean initDB() {\n\t\tDataBaseHelper myDbHelper = new DataBaseHelper(this);\n\t\tif (!myDbHelper.checkDataBase()) {\n\t\t\tmyDbHelper.dbDelete();\n\t\t\tdownloadDB();\n\t\t\treturn false;\n\t\t} else {\n\t\t\ttry {\n\t\t\t\tif (!myDbHelper.openDataBase()) {\n\t\t\t\t\tLog.e(TAG, \"Unable to open database\");\n\t\t\t\t\tstopService();\n\t\t\t\t\tmyDbHelper.dbDelete();\n\t\t\t\t\tdownloadDB();\n\t\t\t\t\treturn false;\n\t\t\t\t}\n\t\t\t} catch (Exception e) {\n\t\t\t\tLog.e(TAG, \"Unable to open database\", e);\n\t\t\t\tstopService();\n\t\t\t\tmyDbHelper.dbDelete();\n\t\t\t\tdownloadDB();\n\t\t\t\treturn false;\n\t\t\t}\n\t\t\ttry {\n\t\t\t\tstartSync();\n\t\t\t\treturn initUI();\n\t\t\t} catch (Exception ioe) {\n\t\t\t\tLog.e(TAG, \"Unable to launch activity\");\n\t\t\t}\n\n\t\t}\n\n\t\treturn false;\n\t}", "private void createDatabase() throws Exception{\n Statement stm = this.con.createStatement();\n stm.execute(\"CREATE DATABASE IF NOT EXISTS \" + database +\n \" DEFAULT CHARACTER SET utf8 COLLATE utf8_persian_ci\");\n }", "public boolean initializeDB() {\n return false;\n }", "private void configureDB() {\n\t\tmDb = mDbHelper.getWritableDatabase();\n\t}", "public void createDataBase() throws IOException{\n \n \tboolean dbExist = checkDataBase();\n \t\n \n \tif(dbExist){\n \t\t//do nothing - database already exists\n \t\tLog.d(\"Database Check\", \"Database Exists\");\n\n \t}else{\n \t\tLog.d(\"Database Check\", \"Database Doesn't Exist\");\n \t\tthis.close();\n \t\t//By calling this method and empty database will be created into the default system path\n //of your application so we are gonna be able to overwrite that database with our database.\n \tthis.getReadableDatabase();\n \tthis.close();\n \ttry {\n \t\t\tcopyDataBase();\n \t\t\tLog.d(\"Database Check\", \"Database Copied\");\n \n \t\t} catch (IOException e) {\n \t\tLog.d(\"I/O Error\", e.toString());\n\n \t\tthrow new Error(\"Error copying database\");\n \t}\n \tcatch (Exception e) { \n \t\tLog.d(\"Exception in createDatabase\", e.toString());\n \t\t\n \t}\n \t}\n \n }", "public void createDataBase() throws IOException {\n\n boolean dbExist = checkDataBase();\n\n if(dbExist){\n //do nothing - database already exist\n }else{\n\n //By calling this method and empty database will be created into the default system path\n //of your application so we are gonna be able to overwrite that database with our database.\n this.getReadableDatabase();\n\n try {\n\n copyDataBase();\n\n } catch (IOException e) {\n\n throw new Error(\"Error copying database\");\n\n }\n }\n\n }", "public void createDataBase() throws IOException {\n\n boolean dbExist = checkDataBase();\n\n if(dbExist){\n //do nothing - database already exist\n }else{\n\n //By calling this method and empty database will be created into the default system path\n //of your application so we are gonna be able to overwrite that database with our database.\n this.getReadableDatabase();\n\n try {\n\n copyDataBase();\n\n } catch (IOException e) {\n\n throw new Error(\"Error copying database\");\n\n }\n }\n\n }", "private void setupDb(){\n try {\n openConnection();\n s.executeUpdate(\"CREATE TABLE IF NOT EXISTS LIB (NAME text UNIQUE , TYPE text, LANGUAGE text, INTRUSIVE text, OPENSOURCE text)\");\n }catch (SQLException e) {\n System.err.println(e.getMessage());\n }finally {\n if (c != null){\n close(c);\n }\n }\n }", "public static void InitializeDatabase() throws SQLException {\n dataSource = new SQLiteConnectionPoolDataSource();\n dataSource.setUrl(\"jdbc:sqlite:application.db\");\n\n // Optional Configuration Settings\n org.sqlite.SQLiteConfig config = new org.sqlite.SQLiteConfig();\n config.enforceForeignKeys(true);\n config.enableLoadExtension(true);\n dataSource.setConfig(config);\n\n connectionPool = dataSource.getPooledConnection();\n }", "public static void initialize()\n\t{\n\t\tProperties props = new Properties();\n\t\tFileInputStream in = new fileInputStream(\"database.properties\");\n\t\tprops.load(in);\n\t\tin.close();\n\t\tString drivers = props.getProperty(\"jdbc.drivers\");\n\t\tif (drivers != null)\n\t\t\tSystem.setProperty(\"jdbc.drivers\", drivers);\n\t\tString url = props.getProperty(\"jdbc.url\");\n\t\tString username = props.getProperty(\"jdbc.username\");\n\t\tString password = props.getProperty(\"jdbc.password\");\n\t\t\n\t\tSystem.out.println(\"url=\"+url+\" user=\"+username+\" password=\"+password);\n\n\t\tdbConnect = DriverManager.getConnection( url, username, password);\n\t\t\n\t\tinitializeDatabase();\n\t}", "@Override\n public Database getInitialized() {\n return Databases.createPostgresDatabaseWithRetry(\n username,\n password,\n connectionString,\n isDatabaseReady);\n }", "@Before\r\n public void initDb() throws Exception {\n mDatabase = Room.inMemoryDatabaseBuilder(ApplicationProvider.getApplicationContext(),\r\n MyDatabase.class)\r\n // allowing main thread queries, just for testing\r\n .allowMainThreadQueries()\r\n .build();\r\n\r\n mTemplateDao = mDatabase.templateDao();\r\n }", "public static void createDataBase() {\n final Configuration conf = new Configuration();\n\n addAnnotatedClass(conf);\n\n conf.configure();\n new SchemaExport(conf).create(true, true);\n }", "public void createDataBase() throws IOException {\n boolean dbExist = checkDataBase();\n\n if (dbExist) {\n\n } else {\n this.getReadableDatabase();\n try {\n copyDataBase();\n } catch (IOException e) {\n Log.e(\"tle99 - create\", e.getMessage());\n }\n }\n }", "public Database initDB() {\n Database db = new Database(\"dataBase.db\");\n\n// db.insertData(\"1 Dragos Dinescu [email protected] 0744522600 Digi 10-12-2020\");\n// db.insertData(\"2 Adelina Mirea [email protected] 0733651320 Orange 14-10-2020\");\n// db.insertData(\"3 Radu Sorostinean [email protected] 0733723321 Digi 1-10-2020\");\n// db.insertData(\"4 Andrei Brasoveanu [email protected] 0732341390 Vodafone 12-11-2020\");\n return db;\n\n //db.deleteFromDB();\n //db.updateDB(\"1 alex radu [email protected] 022256926 orange 10/08/2010\");\n }", "private void initializeDatabase() {\n fbProfile = Profile.getCurrentProfile();\n String userId = fbProfile.getId();\n user = new User();\n user.name = fbProfile.getName();\n database.getReference(\"Users\").child(userId).setValue(user);\n userRef = database.getReference(\"Users\").child(userId);\n populateDatabase(database, userRef);\n listenForUpdates(database, userRef);\n }", "@Before\n public void createDatabase() {\n dbService.getDdlInitializer()\n .initDB();\n kicCrud = new KicCrud();\n }", "public void init() {\r\n\t\tdbVersion = new DBVersion( getDefaultDatabase(), progress, upgradeFile.versionTableName, upgradeFile.logTableName );\r\n\t}", "private void createDatabase() throws SQLException\r\n {\r\n myStmt.executeUpdate(\"create database \" + dbname);\r\n }", "private void createDB() {\n try {\n Statement stat = conn.createStatement();\n stat.execute(\"CREATE TABLE settings (name TEXT, state);\");\n stat.execute(\"CREATE TABLE expressions (id INTEGER PRIMARY KEY ASC AUTOINCREMENT, expression TEXT);\");\n stat.execute(\"CREATE TABLE summaries (id INTEGER PRIMARY KEY ASC, expression_id INTEGER, title TEXT, abstract TEXT);\");\n stat.execute(\"CREATE TABLE history (id INTEGER PRIMARY KEY ASC AUTOINCREMENT, expression TEXT);\");\n } catch (SQLException e) {\n System.err.println(e.getClass().getName() + \": \" + e.getMessage());\n System.exit(0);\n }\n }", "void smem_init_db() throws SoarException, SQLException, IOException\n {\n smem_init_db(false);\n }", "@WebMethod\n\tpublic void initializeBD() {\n\t\tdbManager.open(false);\n\t\tdbManager.initializeDB();\n\t\tdbManager.close();\n\t}", "public Database(Context context)\n\t{\n\t\t/ Instanciation de l'openHelper /\n\t\tDBOpenHelper helper = new DBOpenHelper(context);\n\t\t\n\t\t/ Load de la database /\n\t\t//TODO passer en asynchrone pour les perfs\n\t\tmainDatabase = helper.getWritableDatabase();\n\t\t\n\t\t/ DEBUG PRINT /\n\t\tLog.i(\"info\", \"Database Loading Suceeded\");\n\t}", "public void init(String path, DatabaseHelper helper) {\n try {\n connection = DriverManager.getConnection(\"jdbc:sqlite:\" + path);\n\n queryCache = new QueryCache();\n\n Statement statement = connection.createStatement();\n ResultSet rs = statement.executeQuery(\"PRAGMA user_version;\");\n int version = rs.getInt(1);\n rs.close();\n\n if(version != DATABASE_SCHEMA_VERSION) {\n Log.debug(\"Database version was {0} but Schema version is {1}\", version, DATABASE_SCHEMA_VERSION);\n\n // Create default data\n if(version == 0) {\n helper.onCreate(this);\n } else {\n helper.onMigration(this, version, DATABASE_SCHEMA_VERSION);\n }\n\n statement = connection.createStatement();\n statement.execute(\"PRAGMA user_version = \" + DATABASE_SCHEMA_VERSION + \";\");\n }\n \n } catch (SQLException ex) {\n Log.error(\"{0}\", ex);\n throw new RuntimeException(\"Database connection failed!\", ex);\n }\n }", "public static MongoDatabase init() {\n\n\t\tMongoClientURI connectionString = new MongoClientURI(\n\t\t\t\t\"mongodb+srv://xxxxx:[email protected]/test\");\n\t\tMongoClient mongoClient = new MongoClient(connectionString);\n\n\t\tMongoDatabase database = mongoClient.getDatabase(\"city\");\n\n\t\treturn database;\n\n\t}", "void createDatabaseOnDevice() throws IOException {\n boolean databaseExists = checkIfDatabaseOnDevice();\n\n if (!databaseExists) {\n this.getReadableDatabase();\n\n try {\n copyDatabaseToDevice();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }\n }", "public static LocalDatabase dbSetup(String name)\n\t{\n\t\tLocalDatabase local = new LocalDatabase(name);\n\t\tlocal.loadDriver();\n\t\tlocal.openConnection();\n\t\tlocal.createTablePersons();\n\t\tlocal.createTableListenings();\n\t\tlocal.createTableRecordings();\n\t\tlocal.closeConnection();\n\t\treturn local;\n\t}", "public void initEDBConnection(String name) throws SQLException {\n String dbName = buildDBName(name);\n cache = new CacheManager<>(1024);\n File f = new File(dbName);\n\n if (!f.exists())\n createDB(dbName);\n else if(!f.isDirectory())\n createDB(dbName);\n else\n connectDB(dbName);\n\n refreshCurrentAccountId();\n refreshCurrentOperationId();\n }", "public static void createDatabase() throws ArcException {\n\t\tcreateDatabase(userWithRestrictedRights);\t\t\n\t}", "protected void initializeDB() {\r\n try {\r\n // Load the JDBC driver\r\n // Class.forName(\"oracle.jdbc.driver.OracleDriver\");\r\n Class.forName(\"com.mysql.jdbc.Driver \");\r\n\r\n System.out.println(\"Driver registered\");\r\n\r\n // Establish connection\r\n /Connection conn = DriverManager.getConnection\r\n (\"jdbc:oracle:thin:@drake.armstrong.edu:1521:orcl\",\r\n \"scott\", \"tiger\"); /\r\n Connection conn = DriverManager.getConnection(\r\n \"jdbc:mysql://localhost/javabook\" , \"scott\", \"tiger\");\r\n System.out.println(\"Database connected\");\r\n\r\n // Create a prepared statement for querying DB\r\n pstmt = conn.prepareStatement(\r\n \"select from Scores where name = ?\");\r\n }\r\n catch (Exception ex) {\r\n System.out.println(ex);\r\n }\r\n }", "public static void createDatabase() throws SQLException {\n\t\tSystem.out.println(\"DROP database IF EXISTS project02;\");\n\t\tstatement = connection.prepareStatement(\"DROP database IF EXISTS project02;\");\n\t\tstatement.executeUpdate();\n\t\tSystem.out.println(\"CREATE database project02;\");\n\t\tstatement = connection.prepareStatement(\"CREATE database project02;\");\n\t\tstatement.executeUpdate();\n\t\tSystem.out.println(\"USE project02;\");\n\t\tstatement = connection.prepareStatement(\"USE project02;\");\n\t\tstatement.executeUpdate();\n\t}", "public static void createDatabaseIfNotExists() throws DaoException {\n\n Path data = Paths.get(DATA_DIR);\n if (!Files.exists(data)) {\n try {\n Files.createDirectory(data);\n Files.createDirectory(Paths.get(DATA_DIR, ACCOUNT_DATA_DIR));\n } catch (IOException ex) {\n throw new DaoException(\"Could not create data directory\", ex);\n }\n }\n\n }", "private DBManager() throws Exception {\n file = new File(\"pdfLibraryDB.mv.db\");\n if (!file.exists()) {\n conn = connect();\n stmt = conn.createStatement();\n query = \"CREATE TABLE user(username VARCHAR(30) PRIMARY KEY, password VARCHAR(32));\" +\n \"CREATE TABLE category(id VARCHAR(30) PRIMARY KEY, name VARCHAR(30), username VARCHAR(30), FOREIGN KEY(username) REFERENCES user(username) ON UPDATE CASCADE ON DELETE CASCADE);\"+\n \"CREATE TABLE favorite(id VARCHAR(30) PRIMARY KEY, path VARCHAR(500), keyword VARCHAR(200), searchType VARCHAR(10), category VARCHAR(30),username VARCHAR(30), FOREIGN KEY(username) REFERENCES user(username) ON UPDATE CASCADE ON DELETE CASCADE, FOREIGN KEY(category) REFERENCES category(id) ON UPDATE CASCADE ON DELETE CASCADE);\" +\n \"CREATE TABLE history(id VARCHAR(30) PRIMARY KEY, keyword VARCHAR(200), type VARCHAR(10), directory VARCHAR(500), username VARCHAR(30), FOREIGN KEY(username) REFERENCES user(username) ON UPDATE CASCADE ON DELETE CASCADE);\";\n stmt.executeUpdate(query);\n stmt.close();\n conn.close();\n System.out.println(\"DB created!\");\n }\n }", "@PostConstruct\r\n public void init() {\n File database = new File(applicationProps.getGeodb());\r\n try {\r\n reader = new DatabaseReader.Builder(database).withCache(new CHMCache()).build();\r\n } catch (IOException e) {\r\n log.error(\"Error reading maxmind DB, \", e);\r\n }\r\n }", "public void createDatabase() throws IOException {\n boolean dbExist = checkDataBase();\n// if(dbExist) {\n// Log.d(\"E\", \"Database exists.\");\n// try {\n// copyDataBase();\n// } catch (IOException e) {\n// Log.e(\"Error\", e.getMessage());\n// }\n// } else {\n// try {\n// copyDataBase();\n// } catch (IOException e) {\n// Log.e(\"Error1\", e.getMessage());\n// }\n// }\n\n if (!dbExist) {\n this.getReadableDatabase();\n this.close();\n try {\n //Copy the database from assests\n copyDataBase();\n Log.e(TAG, \"createDatabase database created\");\n } catch (IOException mIOException) {\n throw new Error(\"ErrorCopyingDataBase\");\n }\n }\n\n }", "private void createDatabase() {\n String parentPath = mContext.getDatabasePath(DBNAME).getParent();\n String path = mContext.getDatabasePath(DBNAME).getPath();\n\n File file = new File(parentPath);\n if (!file.exists()) {\n if (!file.mkdir()) {\n Log.w(TAG, \"Unable to create database directory\");\n return;\n }\n }\n\n InputStream is = null;\n OutputStream os = null;\n try {\n is = mContext.getAssets().open(DBNAME);\n os = new FileOutputStream(path);\n\n byte[] buffer = new byte[1024];\n int length;\n while ((length = is.read(buffer)) > 0) {\n os.write(buffer, 0, length);\n }\n os.flush();\n SharedPreferences prefs = PreferenceManager\n .getDefaultSharedPreferences(mContext);\n SharedPreferences.Editor editor = prefs.edit();\n editor.putInt(SP_KEY_DB_VER, DATABASE_VERSION);\n editor.commit();\n } catch (IOException e) {\n e.printStackTrace();\n } finally {\n if (is != null) {\n try {\n is.close();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }\n if (os != null) {\n try {\n os.close();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }\n }\n }", "public void init() {\n\n\t\tConnection connection = null;\n\t\tStatement statement = null;\n\n\t\ttry {\n\n\t\t\tconnection = DatabaseInteractor.getConnection();\n\t\t\tstatement = connection.createStatement();\n\n\t\t} catch (SQLException exception) {\n\t\t\texception.printStackTrace();\n\t\t\treturn;\n\t\t} catch (ClassNotFoundException exception) {\n\t\t\texception.printStackTrace();\n\t\t\treturn;\n\t\t}\n\n\t\ttry {\n\n\t\t\tDatabaseInteractor.createTable(StringConstants.USERS_TABLE, statement);\n\t\t\tDatabaseInteractor.createTable(StringConstants.QUESTIONS_TABLE, statement);\n\t\t\tDatabaseInteractor.createTable(StringConstants.ANSWERS_TABLE, statement);\n\t\t\tDatabaseInteractor.createTable(StringConstants.TOPICS_TABLE, statement);\n\t\t\tDatabaseInteractor.createTable(StringConstants.USER_QUESTION_VOTES_TABLE, statement);\n\t\t\tDatabaseInteractor.createTable(StringConstants.USER_ANSWER_VOTES_TABLE, statement);\n\t\t\tDatabaseInteractor.createTable(StringConstants.USER_TOPIC_RANKS_TABLE, statement);\n\n\t\t} catch (ClassNotFoundException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t} catch (SQLException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\n\t}", "private Connection createDatabase() {\n\t\tSystem.out.println(\"We are creating a database\");\n\t\ttry (\n\t\t\t\t// Step 1: Allocate a database \"Connection\" object\n\t\t\t\tConnection conn = DriverManager.getConnection(\"jdbc:mysql://localhost:\" + PORT_NUMBER + \"/\", \n\t\t\t\t\t\t\"root\", \"root\"); // MySQL\n\t\t\t\t// Step 2: Allocate a \"Statement\" object in the Connection\n\t\t\t\tStatement stmt = conn.createStatement();\n\t\t\t\t) {\n\t\t\t// Step 3 - create our database\n\t\t\tString sql = \"CREATE DATABASE IF NOT EXISTS experiences\";\n\t\t\tstmt.execute(sql);\n\t\t\treturn conn;\n\t\t\t\n\n\t\t} catch(SQLException ex) {\n\t\t\tex.printStackTrace();\n\t\t\treturn null; }\n\t}", "public static void initialize(Context context) {\n _db = new DatabaseHandler(context);\n }", "public static void init(File envHome) throws DatabaseException {\n try {\n //noinspection ResultOfMethodCallIgnored\n envHome.mkdirs();\n } catch (Exception e) {\n e.printStackTrace();\n }\n\n /* Open a transactional Berkeley DB engine environment. /\n EnvironmentConfig envConfig = new EnvironmentConfig();\n envConfig.setAllowCreate(true);\n// envConfig.setTransactional(true);\n env = new Environment(envHome, envConfig);\n\n / Open a transactional entity store. /\n StoreConfig storeConfig = new StoreConfig();\n storeConfig.setAllowCreate(true);\n// storeConfig.setTransactional(true);\n store = new EntityStore(env, \"CrawlerStore\", storeConfig);\n\n / Initialize the data access object. /\n userAccessor = new UserAccessor(store);\n documentAccessor = new DocumentAccessor(store);\n }", "public void setupDB()\r\n\t{\n\tjdbcTemplateObject.execute(\"DROP TABLE IF EXISTS employee1 \");\r\n\r\n\tjdbcTemplateObject.\r\n\texecute(\"CREATE TABLE employee1\"\r\n\t+ \"(\" + \"name VARCHAR(255), id SERIAL)\");\r\n\t}", "DataBase createDataBase();", "public static void SetupDB() {\n\t\tdb.execSQL(\"CREATE TABLE IF NOT EXISTS User(email TEXT,name TEXT, displayPic BLOB);\");\n\t\tdb.execSQL(\"CREATE TABLE IF NOT EXISTS FriendList(ID INTEGER PRIMARY KEY, email TEXT,name TEXT, displayPic BLOB);\");\n\t\tdb.execSQL(\"CREATE TABLE IF NOT EXISTS Category(ID INTEGER PRIMARY KEY,name TEXT);\");\n\t}", "public void bootstrapDatabase() throws Exception {\n\n }", "public static void initDB() {\r\n\t\tboolean ok = false;\r\n\t\ttry(Connection c = DriverManager.getConnection(\"jdbc:hsqldb:file:burst_db\", \"SA\", \"\")) {\r\n\t\t\tString testSQL = \"select count() from TB_USERS;\";\r\n\t\t\ttry(PreparedStatement s = c.prepareStatement(testSQL)) {\r\n\t\t\t\ttry(ResultSet rs = s.executeQuery()) {\r\n\t\t\t\t\trs.next();\r\n\t\t\t\t\tSystem.out.println(\"There are \"+rs.getInt(1)+\" known users.\");\r\n\t\t\t\t\tok = true;\r\n\t\t\t\t}\r\n\t\t\t} catch (SQLException e) {\r\n\t\t\t\t//Don't panic, table doesn't exist\r\n\t\t\t}\r\n\t\t} catch (SQLException e) {\r\n\t\t\t//Panic! Cannot connect to DB\r\n\t\t}\r\n\t\t\r\n\t\tif(!ok) {\r\n\t\t\tSystem.out.println(\"Creating Database\");\r\n\t\t\t\r\n\t\t\ttry(Connection c = DriverManager.getConnection(\"jdbc:hsqldb:file:burst_db\", \"SA\", \"\")) {\r\n\t\t\t\tString createSQL = \"create table TB_USERS (USERID varchar(255),BURSTADDRESS varchar(255), BURSTNUMERIC varchar(255));\";\r\n\t\t\t\ttry(Statement s = c.createStatement()) {\r\n\t\t\t\t\ttry {\r\n\t\t\t\t\t\ts.execute(createSQL);\r\n\t\t\t\t\t\tok = true;\r\n\t\t\t\t\t} catch (SQLException e) {\r\n\t\t\t\t\t\te.printStackTrace();\r\n\t\t\t\t\t}\r\n\t\t\t\t} catch (SQLException e) {\r\n\t\t\t\t\te.printStackTrace();\r\n\t\t\t\t}\r\n\t\t\t} catch (SQLException e) {\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\t}", "private void setupDBs()\n {\n\t mSetupDBTask = new SetupDBTask(this);\n\t\tmSetupDBTask.execute((Void[])null);\n }", "public boolean initDB() {\n System.out.println(\"initDB\");\n\n boolean initOK = false;\n\n String s;\n StringBuilder sb = new StringBuilder();\n\n try {\n FileReader fr = new FileReader(new File(\"resources\\\\initDB.sql\"));\n BufferedReader br = new BufferedReader(fr);\n\n while ((s = br.readLine()) != null) {\n sb.append(s);\n }\n br.close();\n\n String[] inst = sb.toString().split(\";\");\n\n Statement stmt = getConnection().createStatement();\n\n for (int i = 0, instLength = inst.length; i < instLength; i++) {\n String anInst = inst[i];\n if (!anInst.trim().equals(\"\")) {\n System.out.println(i + \": \" + anInst);\n\n try {\n stmt.executeUpdate(anInst);\n } catch (SQLException ex) {\n ex.printStackTrace();\n }\n }\n }\n\n initOK = true;\n } catch (FileNotFoundException ex) {\n ex.printStackTrace();\n// throw new RuntimeException(ex);\n } catch (SQLException ex) {\n ex.printStackTrace();\n// throw new RuntimeException(ex);\n } catch (IOException ex) {\n ex.printStackTrace();\n// throw new RuntimeException(ex);\n } catch (NullPointerException ex) {\n ex.printStackTrace();\n }\n\n return initOK;\n }", "private void initDb() throws SQLException {\n statement = conn.createStatement();\n for (String sql : TABLES_SQL) {\n statement.executeUpdate(sql);\n }\n }", "public void initialize()\r\n\t{\r\n\t\tdatabaseHandler = DatabaseHandler.getInstance();\r\n\t\tfillPatientsTable();\r\n\t}", "public void createNewDataBase() {\n try (Connection conn = DriverManager.getConnection(url)) {\n if (conn != null) {\n DatabaseMetaData meta = conn.getMetaData();\n createNewTable();\n }\n } catch (SQLException e) {\n System.out.println(e.getMessage());\n }\n }", "public static void initialize() {\r\n\t\tif (!connectionByProjectIdMap.isEmpty()) {\r\n\t\t\tcloseAllMsiDb();\r\n\t\t\tconnectionByProjectIdMap.clear();\r\n\t\t}\r\n\t\tif (udsDbConnection != null) {\r\n\t\t\tinitializeUdsDb();\r\n\t\t}\r\n\t}", "public void beginInitialization() {\n SQLiteDatabase db = this.helper.getWritableDatabase();\n db.beginTransaction();\n populateMeasurementVersionsCache(db);\n }", "public void initialize() {\r\n final String JDBC_DRIVER = \"org.h2.Driver\";\r\n final String DB_URL = \"jdbc:h2:./res/AnimalShelterDB\";\r\n final String USER = \"\";\r\n final String PASS;\r\n\r\n System.out.println(\"Attempting to connect to database\");\r\n try {\r\n Class.forName(JDBC_DRIVER);\r\n Properties prop = new Properties();\r\n prop.load(new FileInputStream(\"res/properties\"));\r\n PASS = prop.getProperty(\"password\");\r\n conn = DriverManager.getConnection(DB_URL, USER, PASS);\r\n stmt = conn.createStatement();\r\n System.out.println(\"Successfully connected to Animal database!\");\r\n } catch (Exception e) {\r\n e.printStackTrace();\r\n Alert a = new Alert(Alert.AlertType.ERROR);\r\n a.show();\r\n }\r\n startTA();\r\n }", "@Override\n public boolean onCreate() {\n\n // password helper that uses Android shared preferences\n passwordHelper = new SharedPreferencesPasswordHelper();\n\n // Creates a new database helper object.\n // Note: database itself isn't opened until something tries to access it,\n // and it's only created if it doesn't already exist.\n databaseHelper = new DatabaseHelper(getContext());\n\n try {\n SQLiteDatabase.loadLibs(getContext());\n } catch (Exception e) {\n Log.e(DATABASE_NAME, e.getMessage(), e);\n }\n return true;\n }", "public FakeDatabase() {\n\t\t\n\t\t// Add initial data\n\t\t\n//\t\tSystem.out.println(authorList.size() + \" authors\");\n//\t\tSystem.out.println(bookList.size() + \" books\");\n\t}", "public static void init()\n\t{\n\t\tMongoClient mongoClient = new MongoClient(new MongoClientURI(\"mongodb://111.111.111.111:27017\"));\n\t\tdatabase=mongoClient.getDatabase(\"mydb\");\n\t}", "private static void initialization() {\n File installationDir = new File(Constants.INSTALL_DIRECTORY, \"docli\");\n if(installationDir.exists()) {\n // user file exists\n } else {\n String s = String.format(\"Installing files at %s\", Constants.INSTALL_DIRECTORY);\n display.display(s);\n installationDir.mkdir();\n try {\n File f = new File(installationDir, \"docli_database.db\");\n f.createNewFile();\n }catch (IOException e) {\n System.out.println(e.getMessage());\n }\n manager.executeDMLStatementSync(Constants.CREATE_TABLE_ITEM);\n }\n }", "public boolean initStore(String dbname) {\n return true;\n }", "void createDb(String dbName);", "@Override\n\t\tpublic void onCreate(SQLiteDatabase database) {\n\t\t\tcreateTable(database);\n\n\t\t}", "public Database() {\n size = 0;\n tables = new HashMap();\n p = new Parse(this);\n }", "private createSingletonDatabase()\n\t{\n\t\tConnection conn = createDatabase();\n\t\tcreateTable();\n\t\tString filename = \"Summer expereince survey 2016 for oliver.csv\"; \n\t\timportData(conn, filename);\n\t}", "public void createDB(String filename) throws SQLException {\n //System.out.printf(\"Connecting to the database %s.%n\", filename);\n /* \n * Connect to the database (file). If the file does not exist, create it.\n */\n Connection db_connection = DriverManager.getConnection(SQLITEDBPATH + filename);\n this.createTables(db_connection);\n this.initTableCities(db_connection);\n this.initTableTeams(db_connection);\n //System.out.printf(\"Connection to the database has been established.%n\");\n db_connection.close();\n //System.out.printf(\"Connection to the database has been closed.%n\");\n }", "public Database() {\n if (init) {\n\n //creating Transaction data\n Transaction transactionOne\n = new Transaction(1, \"Debit\", \"Spar Grocery\", 54.68,1);\n\n transactionDB.add(transactionOne);\n\n // Creating an Account data\n Account accountOne = new Account(1, 445, 111111111, \"Savings\",\n 1250.24, transactionDB);\n\n accountDB.add(accountOne);\n\n //creating withdrawal data\n Withdrawal withdrawalOne = new Withdrawal(1, 64422545, 600.89);\n withdrawalDB.add(withdrawalOne);\n\n //creating transfer data\n Transfer transferOne = new Transfer(1, 25252525, 521.23);\n transferDB.add(transferOne);\n\n //creating lodgement data\n Lodgement lodgementOne = new Lodgement(1, 67766666, 521.23);\n lodgementDB.add(lodgementOne);\n\n //add Customer data \n Customer customerOne\n = new Customer(1, \"Darth Vader\", \"[email protected]\",\n \"Level 5, Suit Dark\", \"darkSideIsGoodStuff\",\n accountDB, withdrawalDB, transferDB, lodgementDB);\n\n customerDB.add(customerOne);\n\n init = false;\n }\n }", "public void setUp() throws IOException\r\n\t{\r\n\r\n\t\tgraphDb = new GraphDatabaseFactory().newEmbeddedDatabase( dbPath );\r\n\t\tSystem.out.println(\"Connecting to the database...\"); \r\n\t\tSystem.out.println(\"Done!\");\r\n\r\n\t}", "private void initialize() {\n try {\n Class.forName(\"org.postgresql.Driver\");\n } catch (ClassNotFoundException e) {\n LOGGER.error(\"DB: Unable to find sql driver.\", e);\n throw new AppRuntimeException(\"Unable to find sql driver\", e);\n }\n\n DbCred cred = getDbCred();\n this.connection = getConnection(cred);\n this.isInitialized.set(Boolean.TRUE);\n }", "private Database() throws SQLException {\n con = DriverManager.getConnection(\"jdbc:oracle:thin:@localhost:1521:MusicAlbums\", \"c##dba\", \"sql\");\n }", "public DatabaseManager() {\n try {\n con = DriverManager.getConnection(DB_URL, \"root\", \"marko\");\n } catch (SQLException e) {\n e.printStackTrace();\n }\n }", "public static void initialization() {\n System.out.println(\"initialization\");\n try {\n HibernateUtil.updateSchema();\n } catch (Exception e) {\n throw new RuntimeException(e.getMessage());\n }\n }", "@BeforeAll\n public void init() throws SQLException, IOException {\n dataSource = DBCPDataSource.getDataSource();\n\n DatabaseUtil databaseUtil = new DatabaseUtil(dataSource);\n databaseUtil.dropTables();\n\n String initUsersTable = \"create table users (id serial primary key, email varchar not null, password varchar not null, birthday date);\";\n String initPostsTable = \"create table posts (id serial primary key, image varchar not null, caption varchar, likes integer not null default 0, userId integer not null references users(id));\";\n\n try (Connection connection = dataSource.getConnection()) {\n Statement statement = connection.createStatement();\n\n statement.execute(initUsersTable);\n statement.execute(initPostsTable);\n\n addUser(\"[email protected]\", \"HASHED_PASSWORD\", new Date(2001, 07, 24));\n addUser(\"[email protected]\", \"HASHED_PASSWORD\", new Date(2000, 01, 01));\n addUser(\"[email protected]\", \"HASHED_PASSWORD\", new Date(2001, 02, 01));\n addUser(\"[email protected]\", \"HASHED_PASSWORD\", new Date(2000, 05, 06));\n addUser(\"[email protected]\", \"HASHED_PASSWORD\", new Date(2001, 07, 24));\n }\n\n loggerUtil = new LoggerUtil();\n logFilePath = Paths.get(logDirectory, name + \".log\");\n logger = loggerUtil.initFileLogger(logFilePath.toAbsolutePath().toString(), name);\n\n Migrate migrate = new Migrate(dataSource);\n migrate.up(name);\n }", "@Override\n\tpublic void initDemoDB() {\n\t}", "public Database() {\r\n\t\ttry {\t\r\n\t\t\tSystem.out.println(\"Database: Connected\");\r\n\t\t\tconn = DriverManager.getConnection(DB_URL,USER,PASS);\r\n\t\t} catch (SQLException e) {\r\n\t\t\tSystem.out.println(\"Unable to connect to database\");\r\n\t\t}\r\n\t}", "protected abstract DatabaseInitializer createInitializer();", "public void creatDataBase(String dbName);", "@Before\n\tpublic void setup() {\n\t\tdatabase = new DatabaseLogic();\n\t}", "public void createDatabaseFromAssets() throws IOException {\n try {\n copyDatabase();\n }\n catch (IOException e) {\n LogUtility.NoteLog(e);\n throw new Error(\"Error copying database\");\n }\n }" ]	[ "0.8012003", "0.8000198", "0.79918146", "0.76986474", "0.76777524", "0.760023", "0.74791497", "0.7424262", "0.7370059", "0.7304737", "0.72794384", "0.72619414", "0.72509384", "0.7229679", "0.72293246", "0.7210963", "0.7129802", "0.7090796", "0.7084286", "0.7075247", "0.70195675", "0.70071435", "0.6995366", "0.6995254", "0.69552827", "0.69273305", "0.69229716", "0.6921423", "0.68384326", "0.6823109", "0.6823109", "0.6818841", "0.68128455", "0.68079036", "0.67656565", "0.6761977", "0.6708324", "0.6682226", "0.66805345", "0.6675967", "0.66732943", "0.6663927", "0.6632565", "0.662889", "0.6626059", "0.6623569", "0.66232455", "0.65870845", "0.6585383", "0.65713227", "0.6558472", "0.6533231", "0.65123814", "0.65023994", "0.64988035", "0.6479682", "0.6466676", "0.6462527", "0.6458337", "0.64529115", "0.6452579", "0.6450963", "0.64397717", "0.643824", "0.64377654", "0.6427364", "0.64219785", "0.64216995", "0.6405215", "0.6403696", "0.6401837", "0.63990617", "0.6392475", "0.6388747", "0.63713914", "0.6367151", "0.6358839", "0.63397914", "0.63324624", "0.6330967", "0.6319493", "0.6318151", "0.63144875", "0.6310065", "0.6301794", "0.6294272", "0.62924707", "0.6289949", "0.6271711", "0.62709254", "0.6248149", "0.62443674", "0.62433827", "0.62215286", "0.6211778", "0.6209071", "0.6198517", "0.6195714", "0.6190977", "0.6187137" ]	0.8139477	0
Returns true if database file exists, false otherwise.	private boolean databaseExists() { File dbFile = mContext.getDatabasePath(DBNAME); return dbFile.exists(); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public synchronized boolean existsDatabase() throws IOException {\n return existsDatabase(database.get(), null);\n }", "public static boolean DBDirExists() {\n File dir = new File(path);\n return dir.exists();\n }", "public boolean databaseExists() {\n\t\treturn defaultDatabaseExists();\n\t}", "public boolean checkIfDatabaseExists() {\r\n return database.exists();\r\n }", "public boolean databaseExists() {\n return defaultDatabaseExists();\n }", "private boolean checkDataBase() {\n// boolean checkDB = false;\n File dbfile = null;\n try {\n String myPath = DBLOCATION + DBNAME;\n dbfile = new File(myPath);\n// checkDB = dbfile.exists();\n } catch (SQLiteException e) {\n }\n// return checkDB;\n return dbfile.exists();\n }", "public static boolean DBExists() {\n File edb = new File(path + \"/turtlenet.db.aes\");\n File db = new File(path + \"/turtlenet.db\");\n return db.exists() \|\| edb.exists();\n }", "private boolean checkDataBase() {\n\n\t\tFile dbFile = null;\n\t\ttry {\n\t\t\t// String myPath = DATABASE_PATH + DATABASE_NAME;\n\t\t\t// checkDB = SQLiteDatabase.openDatabase(myPath, null,\n\t\t\t// SQLiteDatabase.OPEN_READONLY);\n\t\t\tdbFile = new File(DATABASE_PATH + DATABASE_NAME);\n\t\t\treturn dbFile.exists();\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\t/if(checkDB != null){\n\t\t checkDB.close();}\n\t\t return checkDB != null ? true : false;/\n\t\treturn dbFile != null ? true : false;\n\t}", "private boolean databaseExists() {\n SQLiteDatabase checkDB = null;\n try {\n String myPath = DATABASE_PATH + DATABASE_NAME;\n checkDB = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY);\n } catch (SQLiteException e) {\n Log.i(\"burra\",\"Database \"+DATABASE_PATH+DATABASE_NAME+\"not found. Will copy from assets folder\");\n }\n if(null!=checkDB){\n checkDB.close();\n return true;\n }\n return false;\n }", "public boolean databaseExists(String dbName) throws Exception;", "boolean hasDatabase();", "private boolean checkDataBase(){\n\n SQLiteDatabase checkDB = null;\n\n try{\n String myPath = DB_PATH + DB_NAME;\n checkDB = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY);\n\n }catch(SQLiteException e){\n\n //database does't exist yet.\n\n }\n\n if(checkDB != null){\n\n checkDB.close();\n\n }\n\n return checkDB != null ? true : false;\n }", "private boolean checkDataBase(){\n\n SQLiteDatabase checkDB = null;\n\n try{\n String myPath = DB_PATH + DB_NAME;\n checkDB = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY);\n\n }catch(SQLiteException e){\n\n //database does't exist yet.\n\n }\n\n if(checkDB != null){\n\n checkDB.close();\n\n }\n\n return checkDB != null ? true : false;\n }", "public static boolean isExists(String dbFilePath) {\n return FilesHelper.CheckFileExists(dbFilePath + DB_EXTENSION);\n }", "private boolean checkDatabase() {\n SQLiteDatabase checkDB = null;\n\n try {\n String dbPath = DB_PATH + DB_NAME;\n checkDB = SQLiteDatabase.openDatabase(\n dbPath, \n null,\n SQLiteDatabase.NO_LOCALIZED_COLLATORS // Open without support for localized collators. setLocate() will do nothing.\n );\n } catch (SQLiteException e) {\n // Do nothing - database doesn't exist yet\n }\n\n if (checkDB != null) {\n checkDB.close();\n }\n\n return checkDB != null ? true : false;\n }", "private boolean checkDataBase() {\n\n SQLiteDatabase checkDB = null;\n\n try {\n String myPath = DB_PATH + DATABASE_NAME;\n checkDB = SQLiteDatabase.openDatabase(myPath, null,\n SQLiteDatabase.OPEN_READONLY);\n\n } catch (SQLiteException e) {\n\n // database doesn't exist yet.\n Log.d(\"DATABASE\",\"Database doesn't exist yet.\");\n }\n\n if (checkDB != null) {\n checkDB.close();\n }\n return checkDB != null;\n }", "boolean dbExists(String dbName);", "private boolean checkDataBase()\r\n {\r\n SQLiteDatabase checkDB = null;\r\n try {\r\n String myPath = DB_PATH;\r\n checkDB\r\n = SQLiteDatabase\r\n .openDatabase(\r\n myPath, null,\r\n SQLiteDatabase.OPEN_READONLY);\r\n }\r\n catch (SQLiteException e) {\r\n\r\n // database doesn't exist yet.\r\n Log.e(\"message\", \"\" + e);\r\n }\r\n if (checkDB != null) {\r\n checkDB.close();\r\n }\r\n return checkDB != null;\r\n }", "private boolean checkDataBase() {\n SQLiteDatabase tempDB = null;\n try {\n String myPath = DB_PATH + DB_NAME;\n tempDB = SQLiteDatabase.openDatabase(myPath, null,\n SQLiteDatabase.OPEN_READWRITE);\n } catch (SQLiteException e) {\n Log.e(\"tle99 - check\", e.getMessage());\n }\n if (tempDB != null)\n tempDB.close();\n return tempDB != null ? true : false;\n }", "public boolean checkDataBase(){\n \n \tSQLiteDatabase checkDB = null;\n \tLog.d(\"We're Here\", \"DatabaseHelper.checkDataBase()\");\n \ttry{\n \t\tString myPath = DB_PATH + DB_NAME;\n \t\tcheckDB = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY);\n \n \t}catch(SQLiteException e){\n \n \t\tLog.d(\"We're Here\", \"Database doesn't exist\");\n \t\tLog.d(\"Database Error\", e.toString());\n \n \t}\n \tcatch (Exception e) { \n \t\tLog.d(\"Exception in checkDatabase\", e.toString());\n \t\t\n \t}\n \n \tif(checkDB != null){\n \n \t\tcheckDB.close();\n \n \t}\n \n \treturn checkDB != null;\n }", "boolean databaseExists(String databaseName) throws CatalogException;", "public boolean testDatabaseExists()\r\n {\r\n try {\r\n myStmt = myConn.createStatement();\r\n myRs = myStmt.executeQuery(\"show databases like '\" + dbname + \"'\");\r\n if (myRs.next())\r\n return true;\r\n return false;\r\n } catch (SQLException ex) {\r\n Logger.getLogger(SQLConnector.class.getName()).log(Level.SEVERE, null, ex);\r\n }\r\n return false;\r\n }", "private boolean checkDataBase() {\r\n SQLiteDatabase checkDB = null;\r\n try {\r\n checkDB = SQLiteDatabase.openDatabase(\"/data/data/me.shubhamgoswami.adharshilasurvey/adharShila.db\", null,\r\n SQLiteDatabase.OPEN_READONLY);\r\n checkDB.close();\r\n } catch (SQLiteException e) {\r\n // database doesn't exist yet.\r\n }\r\n return checkDB != null;\r\n }", "public boolean exist(String fileName) throws DataAccessException;", "private boolean exists() {\n try {\n DatabaseMetaData md = conn.getMetaData();\n ResultSet rs = md.getTables(null, null, \"settings\", null);\n return rs.next();\n } catch (SQLException e) {\n System.err.println(e.getClass().getName() + \": \" + e.getMessage());\n System.exit(0);\n return false;\n }\n }", "public boolean exists() {\n try {\n return open() != null;\n } catch (IOException e) {\n return false;\n }\n }", "public boolean exists() {\n return _file.exists();\n }", "private boolean checkDataBase() {\n SQLiteDatabase checkDb = null;\n try {\n String path = DB_PATH + DB_NAME;\n checkDb = SQLiteDatabase.openDatabase(path, null,\n SQLiteDatabase.OPEN_READONLY);\n } catch (SQLException e) {\n Log.e(this.getClass().toString(), \"Error while checking db\");\n }\n //Android doesn’t like resource leaks, everything should \n // be closed\n if (checkDb != null) {\n checkDb.close();\n }\n return checkDb != null;\n }", "public boolean checkDataBase() {\n SQLiteDatabase sQLiteDatabase;\n try {\n SQLiteDatabase sQLiteDatabase2;\n sQLiteDatabase = sQLiteDatabase2 = SQLiteDatabase.openDatabase((String)(DB_PATH + DB_NAME), (SQLiteDatabase.CursorFactory)null, (int)0);\n }\n catch (SQLiteException var1_4) {\n return false;\n }\n if (sQLiteDatabase != null) {\n sQLiteDatabase.close();\n }\n boolean bl = false;\n if (sQLiteDatabase == null) return bl;\n return true;\n }", "private boolean checkIfDatabaseOnDevice() {\n SQLiteDatabase tempDB = null;\n try {\n String myPath = DB_PATH + DB_NAME;\n tempDB = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READWRITE);\n } catch (SQLiteException e) {\n e.printStackTrace();\n }\n if (tempDB != null)\n tempDB.close();\n return tempDB != null;\n }", "@Override\n\tpublic boolean checkdbconfig() {\n\t\t// get path\n\t\tString path = context.getRealPath(\"/\");\n\t\tString dbpath = path + Utility.DB_PATH;\n\t\tString dbconfig = \"\";\n\t\tFileInputStream fileInputStreamSystemSettings = null;\n\t\tProperties prop = new Properties();\n\t\ttry {\n\t\t\tfileInputStreamSystemSettings = new FileInputStream(dbpath);\n\t\t\ttry {\n\t\t\t\tprop.load(fileInputStreamSystemSettings);\n\t\t\t\tdbconfig = prop.getProperty(\"jdbc.dbconfig\");\n\t\t\t} catch (IOException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\n\t\t} catch (FileNotFoundException e) {\n\t\t\te.printStackTrace();\n\t\t} finally {\n\t\t\ttry {\n\t\t\t\tfileInputStreamSystemSettings.close();\n\t\t\t} catch (IOException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t}\n\n\t\tif (dbconfig.equalsIgnoreCase(\"Y\")) {\n\t\t\treturn true;\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t}", "public boolean exists(String databaseName) {\n return context.databaseExists(databaseName);\n }", "@Override\n\tpublic boolean exists() {\n\t\treturn Files.exists(this.path);\n\t}", "private boolean dbCheck() {\n SQLiteDatabase db = null;\n try\n {\n String dbPath = DB_PATH + DB_NAME;\n Log.e(\"database\",\"path created \");\n Log.d(\"dbPath\", dbPath);\n db = SQLiteDatabase.openDatabase(dbPath, null, SQLiteDatabase.OPEN_READWRITE);\n Log.e(\"database\",\"open database \");\n db.setLocale(Locale.getDefault());\n Log.e(\"database\",\"set locale \");\n db.setVersion(1);\n Log.e(\"database\",\"version set\");\n }catch (SQLiteException e)\n {\n e.printStackTrace();\n Log.d(\"SQLHelper\", \"couldnt find database\");\n\n }\n if (db !=null)\n {\n db.close();\n }\n return db != null ? true : false;\n }", "public boolean exists() {\n\t\t\n\t\tFile temp = new File(this.path);\n\t\treturn temp.exists();\n\t}", "public synchronized boolean existsDatabase(final String storageType) throws IOException {\n checkConnected();\n return existsDatabase(getStorageName(), storageType);\n }", "public static boolean createDBDir() {\n return (new File(path)).mkdirs();\n }", "private static boolean isValid(File dbFile) {\n Validate.notNull(dbFile);\n if (!dbFile.isFile()) {\n return false;\n }\n if (!isValidFileName(dbFile.getName())) {\n return false;\n }\n return Archiver.hasEntryName(dbFile, LIB_INFO_NAME);\n }", "boolean hasDatabaseSpec();", "public static boolean isJavaDBPresent(File installdir){\n\t//check for both names, derby or jaadb\n File derbyInstall = new File(installdir,\"derby\");//NOI18N\n if (!derbyInstall.exists()){\n derbyInstall = new File(installdir,\"javadb\");//NOI18N for latest Glassfish\n }\t\n\treturn derbyInstall.exists();\n }", "public boolean exists() {\n return Files.exists(path);\n }", "public Boolean isExist() {\n\t\tif(pfDir.exists())\n\t\t\treturn true;\n\t\telse\n\t\t\treturn false;\n\t}", "public static boolean fileExists()\r\n\t{\r\n\t\tFile saveFile = new File(\"highscores.txt\");\r\n\t\treturn saveFile.exists();\r\n\t}", "public boolean exists() {\r\n\t\t// Try file existence: can we find the file in the file system?\r\n\t\ttry {\r\n\t\t\treturn getFile().exists();\r\n\t\t}\r\n\t\tcatch (IOException ex) {\r\n\t\t\t// Fall back to stream existence: can we open the stream?\r\n\t\t\ttry {\r\n\t\t\t\tInputStream is = getInputStream();\r\n\t\t\t\tis.close();\r\n\t\t\t\treturn true;\r\n\t\t\t}\r\n\t\t\tcatch (Throwable isEx) {\r\n\t\t\t\treturn false;\r\n\t\t\t}\r\n\t\t}\r\n\t}", "private boolean checkBackupDir() {\n if (!dbBackupDir.exists()) {\n return dbBackupDir.mkdir();\n }\n return true;\n }", "private boolean IsCfgExisted()\n {\n File f = new File(strCfgPath);\n if(f.exists())\n return true;\n return false;\n }", "public boolean hasDatabase() {\n return ((bitField0_ & 0x00000010) == 0x00000010);\n }", "public boolean exist() {\n\t\treturn false;\n\t}", "private static boolean fileExists(String filename) {\n return new File(filename).exists();\n }", "@Override\n public boolean exists(File file) {\n\treturn false;\n }", "public boolean isFileExists(Connection connection) throws EQException\n\t{\n\t\tStatement statement = null;\n\t\tResultSet resultSet = null;\n\t\tboolean exists = false;\n\t\ttry\n\t\t{\n\t\t\tstatement = connection.createStatement(ResultSet.TYPE_FORWARD_ONLY, ResultSet.CONCUR_READ_ONLY);\n\t\t\tString sqlStatement = \"SELECT COUNT(*) FROM SYSTABLES WHERE TABLE_NAME = '\" + fileName.trim() + \"' AND \"\n\t\t\t\t\t\t\t+ \"SYSTEM_TABLE_SCHEMA = '\" + libraryName.trim() + \"'\";\n\t\t\tresultSet = statement.executeQuery(sqlStatement);\n\t\t\tif (resultSet.next())\n\t\t\t{\n\t\t\t\tif (resultSet.getInt(1) == 1)\n\t\t\t\t{\n\t\t\t\t\texists = true;\n\t\t\t\t}\n\t\t\t}\n\t\t\treturn exists;\n\t\t}\n\t\tcatch (SQLException e)\n\t\t{\n\t\t\tthrow new EQException(\"JournalFile: isFileExists Failed: \", e);\n\t\t}\n\t\tfinally\n\t\t{\n\t\t\tSQLToolbox.close(resultSet);\n\t\t\tSQLToolbox.close(statement);\n\t\t}\n\t}", "public boolean hasDatabase() {\n return ((bitField0_ & 0x00000010) == 0x00000010);\n }", "private boolean checkFileExists(String fPath) {\n\t\tFile file = new File(fPath);\n\t\treturn file.exists();\n\t}", "private void checkDB() {\n\t\tif (couchDB_ip == null) {\n\t\t\tsetCouchDB_ip();\n\t\t}\n\n\t\tif (!databaseExist) {\n\n\t\t\tsynchronized (databaseExist) {\n\n\t\t\t\tif (!databaseExist) {\n\n\t\t\t\t\tif (couchDB_USERNAME != null\n\t\t\t\t\t\t\t&& !couchDB_USERNAME.trim().isEmpty()\n\t\t\t\t\t\t\t&& couchDB_PASSWORD != null\n\t\t\t\t\t\t\t&& !couchDB_PASSWORD.trim().isEmpty()) {\n\t\t\t\t\t\tUsernamePasswordCredentials creds = new UsernamePasswordCredentials(\n\t\t\t\t\t\t\t\tcouchDB_USERNAME, couchDB_PASSWORD);\n\t\t\t\t\t\tauthentication = BasicScheme.authenticate(creds,\n\t\t\t\t\t\t\t\t\"US-ASCII\", false).toString();\n\t\t\t\t\t}\n\t\t\t\t\ttry {\n\t\t\t\t\t\tif (CouchDBUtil.checkDB(getCouchDB_ip(), couchDB_NAME,\n\t\t\t\t\t\t\t\tauthentication)) {\n\n\t\t\t\t\t\t\tdatabaseExist = true;\n\n\t\t\t\t\t\t} else {\n\n\t\t\t\t\t\t\tCouchDBUtil.createDb(getCouchDB_ip(), couchDB_NAME,\n\t\t\t\t\t\t\t\t\tauthentication);\n\t\t\t\t\t\t\tdatabaseExist = true;\n\t\t\t\t\t\t}\n\t\t\t\t\t} catch (MalformedURLException e) {\n\t\t\t\t\t\tlogger.info(\"Impossible to access CouchDB\", e);\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t}", "@Test\n\tpublic void testExistsDB() throws Exception {\n\t\tassertExists(\"The Rodin database should exist\", rodinDB);\n\t}", "public static boolean containsDatabase(String dbName){\n return DATABASES.containsKey(dbName);\n }", "public synchronized boolean existsDatabase(final String iDatabaseName, final String storageType)\n throws IOException {\n checkConnected();\n return remote.exists(iDatabaseName, user, password);\n }", "public boolean isSetDatabase() {\r\n return this.database != null;\r\n }", "public boolean isSetDatabase() {\r\n return this.database != null;\r\n }", "public boolean isSetDatabase() {\r\n return this.database != null;\r\n }", "public boolean isSetDatabase() {\r\n return this.database != null;\r\n }", "public boolean isSetDatabase() {\r\n return this.database != null;\r\n }", "public final boolean fileExists() {\n\t if ( m_fileStatus == FileStatus.FileExists \|\| m_fileStatus == FileStatus.DirectoryExists)\n\t return true;\n\t return false;\n\t}", "protected final boolean settingsFileExist() {\n File configFile = new File(this.settingsFileName);\n return configFile.exists() && configFile.canWrite();\n }", "private boolean checkFileExists(String file) {\n boolean exist = false;\n File tmpFile = new File(\"./levels/\" + file);\n if (tmpFile.exists()) {\n // file exists\n exist = true;\n }\n return exist;\n }", "public boolean exists(File file) {\n return file.exists();\n }", "private boolean existsFile(File testFile) {\n\t\tif (testFile.exists()) {\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}", "public boolean exists(String filename) {\n return getFile(filename) != null;\n }", "boolean hasPersistDirectory();", "@Override\n\tpublic boolean checkExistFile(String aFilePath) {\n\t\treturn eDao.checkExistFile(aFilePath);\n\t}", "public boolean exists()\n\t{\n\n\t\treturn true;\n\t}", "public boolean doesFileExists(String pathToFile) {\n\n try {\n File f = new File( pathToFile );\n if( f.exists() && f.isFile() ) {\n return true;\n }\n }\n catch (Exception fe) {\n //System.err.println(\"You got problem: \" + e.getStackTrace());\n logger.debug( fe.getMessage() );\n }\n return false;\n }", "private boolean fileExists(Path p) {\n\t\treturn Files.exists(p);\n\t}", "boolean doesFileExist(String date)\n throws FlooringMasteryPersistenceException;", "public boolean load() throws IOException {\n File db = new File(plugin.getDataFolder(), FILENAME);\n mdb = new YamlConfiguration();\n if(db.exists()) {\n try {\n mdb.load(db);\n } catch (Exception e) {\n mdb = null;\n e.printStackTrace();\n throw new IOException(\"Could not read Courier database!\");\n }\n return true;\n }\n return false;\n }", "public boolean isSetDb()\r\n {\r\n synchronized (monitor())\r\n {\r\n check_orphaned();\r\n return get_store().count_elements(DB$2) != 0;\r\n }\r\n }", "public boolean cacheExist(){\n\t\tFile f = new File(\"./cache.txt\");\n\t\tif(f.exists() && !f.isDirectory()){\n\t\t\t//if the cache is exist\n\t\t\treturn true;\n\t\t}\n\t\treturn false;\n\t}", "public abstract boolean doesExist();", "private boolean inDatabase() {\r\n \t\treturn inDatabase(0, null);\r\n \t}", "public boolean hasDatabaseSpec() {\n return databaseSpecBuilder_ != null \|\| databaseSpec_ != null;\n }", "abstract public boolean exists( String path )\r\n throws Exception;", "private boolean createDatabase(CreateDatabaseStatement cds) {\n\t\tif(dbs.containsKey(cds.dbname)) {\n\t\t\tSystem.out.println(\"Error: Can't create database \" + cds.dbname + \"; database exists\");\n\t\t\treturn false;\n\t\t}\n\t\telse {\n\t\t\tDatabase newdb = new Database();\n\t\t\tdbs.put(cds.dbname, newdb);\n\t\t\treturn true;\n\t\t\t\n\t\t}\n\t}", "@java.lang.Override\n public boolean hasDatabaseSpec() {\n return databaseSpec_ != null;\n }", "public boolean exists(String path);", "public abstract boolean modelFileExists(String filename);", "public boolean dbConnect(boolean dbexists) {\n if (dbexists)\n if (!Crypto.decryptDB(password))\n Logger.write(\"FATAL\", \"DB\", \"failed to decrypt database\");\n \n Logger.write(\"INFO\", \"DB\", \"Connecting to database\");\n try {\n Class.forName(\"org.sqlite.JDBC\");\n dbConnection = DriverManager.getConnection(\"jdbc:sqlite:db/turtlenet.db\");\n return true;\n } catch(Exception e) { //Exception logged to disk, program allowed to crash naturally\n Logger.write(\"FATAL\", \"DB\", \"Could not connect: \" + e.getClass().getName() + \": \" + e.getMessage() );\n return false;\n }\n }", "public boolean checkIfRememberFileExists()\n {\n File file = new File(System.getProperty(\"user.home\")+\"\\\\remember.ser\");\n if (file.exists()) return true;\n return false; \n }", "public Boolean isDatabaseReady() {\n\t\tif (databaseIsReady == false) {\n\t\t\tdatabaseIsReady = tableExists(SERVICE_STATE_TABLE);\n\t\t}\n\t\treturn databaseIsReady;\n\t}", "boolean getWorkfileExists();", "public void setCheckDatabaseExistence(boolean checkDatabaseExistence) {\n this.checkDatabaseExistence = checkDatabaseExistence;\n }", "public boolean isCompetitionDB() throws NoConnectionToDBException, SQLException {\n if (isCompetitionDB != null) {\n return isCompetitionDB;\n }\n PreparedStatement ps = getConn().prepareStatement(\"SELECT competition FROM DBConfiguration\");\n ResultSet rs = ps.executeQuery();\n if (rs.next()) {\n isCompetitionDB = rs.getBoolean(\"competition\");\n return isCompetitionDB;\n }\n return false;\n }", "public boolean exists() throws LRException\n\t{\n\t\tDataHRecordData myData=(DataHRecordData)getData();\n\t\tgetBackground();\n\t\ttry { return myData.record.exists(background.getClient()); }\n\t\tcatch (LDBException e) { setStatus(e); }\n\t\treturn false;\n\t}", "protected boolean resourceExists() {\n\t\tIWorkspace workspace = ResourcesPlugin.getWorkspace();\n\t\tif (workspace == null)\n\t\t\treturn false;\n\t\treturn RodinDB.getTarget(workspace.getRoot(), this.getPath()\n\t\t\t\t.makeRelative(), true) != null;\n\t}", "private boolean exists(String pathName)\n {\n if(new File(pathName).exists())\n {\n return true;\n }\n else\n {\n return false;\n }\n }", "public boolean initDB() {\n System.out.println(\"initDB\");\n\n boolean initOK = false;\n\n String s;\n StringBuilder sb = new StringBuilder();\n\n try {\n FileReader fr = new FileReader(new File(\"resources\\\\initDB.sql\"));\n BufferedReader br = new BufferedReader(fr);\n\n while ((s = br.readLine()) != null) {\n sb.append(s);\n }\n br.close();\n\n String[] inst = sb.toString().split(\";\");\n\n Statement stmt = getConnection().createStatement();\n\n for (int i = 0, instLength = inst.length; i < instLength; i++) {\n String anInst = inst[i];\n if (!anInst.trim().equals(\"\")) {\n System.out.println(i + \": \" + anInst);\n\n try {\n stmt.executeUpdate(anInst);\n } catch (SQLException ex) {\n ex.printStackTrace();\n }\n }\n }\n\n initOK = true;\n } catch (FileNotFoundException ex) {\n ex.printStackTrace();\n// throw new RuntimeException(ex);\n } catch (SQLException ex) {\n ex.printStackTrace();\n// throw new RuntimeException(ex);\n } catch (IOException ex) {\n ex.printStackTrace();\n// throw new RuntimeException(ex);\n } catch (NullPointerException ex) {\n ex.printStackTrace();\n }\n\n return initOK;\n }", "public static boolean isConfigured(String database) {\n return instance.dataSources.containsKey(database);\n }", "private boolean touchFileExists() {\n File f = new File(touchFile);\n return f.exists();\n }", "@Override\n\tpublic synchronized boolean exists(String key) {\n\t\treturn getFile(key).exists();\n\t}", "private boolean isTableInDb() throws SQLException\n {\n final String sqlQuery = \"SELECT name FROM sqlite_master WHERE type='table' AND name='\" + TABLE_NAME +\n \"'\";\n\n try (\n final PreparedStatement statement = database.connection().prepareStatement(sqlQuery);\n final ResultSet resultSet = statement.executeQuery();\n )\n {\n if (!resultSet.next())\n return false;\n\n // read table name\n final String tableName = resultSet.getString(1);\n if (resultSet.wasNull() \|\| !tableName.equals(TABLE_NAME))\n return false;\n }\n\n return true;\n }", "public abstract boolean exists();" ]	[ "0.8051793", "0.8027446", "0.79947144", "0.7986562", "0.79655284", "0.79331094", "0.7886528", "0.7756108", "0.7517701", "0.73860365", "0.7378826", "0.73487496", "0.73487496", "0.72948855", "0.724178", "0.7212637", "0.7204105", "0.7152", "0.70919126", "0.7049674", "0.6968544", "0.695896", "0.68835276", "0.6865535", "0.67573035", "0.67441446", "0.6738592", "0.6735383", "0.67090106", "0.6675279", "0.66494966", "0.6644976", "0.66171145", "0.65791196", "0.6557066", "0.6554519", "0.65211934", "0.6512404", "0.65042746", "0.64885336", "0.648315", "0.6471175", "0.64419496", "0.63756835", "0.63602805", "0.6358743", "0.632821", "0.63245296", "0.6295103", "0.6293659", "0.6292324", "0.6285442", "0.62648195", "0.62537307", "0.62448627", "0.6236182", "0.6225073", "0.62197816", "0.62197816", "0.62197816", "0.62197816", "0.62197816", "0.61912346", "0.61845624", "0.6178739", "0.61637133", "0.61513335", "0.6146471", "0.61168677", "0.6093817", "0.6083221", "0.6075434", "0.60724854", "0.6062449", "0.6054734", "0.60508835", "0.60424465", "0.60105664", "0.60065067", "0.59998494", "0.599516", "0.5993641", "0.59900403", "0.598252", "0.5971328", "0.59681934", "0.5965835", "0.59533846", "0.5948092", "0.5942774", "0.59406835", "0.5935302", "0.59349674", "0.5925365", "0.5924851", "0.5924696", "0.5914633", "0.59065527", "0.5906138", "0.5900319" ]	0.8335129	0
Creates database by copying it from assets directory.	private void createDatabase() { String parentPath = mContext.getDatabasePath(DBNAME).getParent(); String path = mContext.getDatabasePath(DBNAME).getPath(); File file = new File(parentPath); if (!file.exists()) { if (!file.mkdir()) { Log.w(TAG, "Unable to create database directory"); return; } } InputStream is = null; OutputStream os = null; try { is = mContext.getAssets().open(DBNAME); os = new FileOutputStream(path); byte[] buffer = new byte[1024]; int length; while ((length = is.read(buffer)) > 0) { os.write(buffer, 0, length); } os.flush(); SharedPreferences prefs = PreferenceManager .getDefaultSharedPreferences(mContext); SharedPreferences.Editor editor = prefs.edit(); editor.putInt(SP_KEY_DB_VER, DATABASE_VERSION); editor.commit(); } catch (IOException e) { e.printStackTrace(); } finally { if (is != null) { try { is.close(); } catch (IOException e) { e.printStackTrace(); } } if (os != null) { try { os.close(); } catch (IOException e) { e.printStackTrace(); } } } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void copyDatabaseFromAsset() {\n\n /** Just to calculate time How much it will take to copy database /\n //Utility t = new Utility();\n\n\t\t/ Insert Database /\n DBHelper db = new DBHelper(this);\n\n try {\n boolean dbExist = db.isDataBaseAvailable();\n\n if (!dbExist)\n db.copyDataBaseFromAsset();\n\n / Force fully calling onCreate to create table of Favourite/\n //db.onCreate(db.getWritableDatabase());\n\n } catch (Exception e) {\n AppLogger.writeLog(\"state \" + TAG + \" -- \" + e.toString());\n\n if (AppConstants.DEBUG)\n Log.e(\"\", e.toString());\n }\n }", "public void createDatabaseFromAssets() throws IOException {\n try {\n copyDatabase();\n }\n catch (IOException e) {\n LogUtility.NoteLog(e);\n throw new Error(\"Error copying database\");\n }\n }", "private void copyDatabase() throws IOException {\n // Open your local database as the input stream\n InputStream inputStream = mContext.getAssets().open(DB_NAME);\n try {\n // Path to the newly created empty database\n String outFileName = DB_PATH + DB_NAME;\n OutputStream outputStream = new FileOutputStream(outFileName);\n try {\n // Transfer bytes from input file to output file\n byte[] buffer = new byte[1024];\n int len;\n while ((len = inputStream.read(buffer)) > 0) {\n outputStream.write(buffer, 0, len);\n }\n outputStream.flush();\n } finally {\n outputStream.close();\n }\n } finally {\n inputStream.close();\n }\n }", "private void copyDataBase() throws IOException {\n //Open a stream for reading from our ready-made database\n //The stream source is located in the assets\n InputStream externalDbStream = context.getAssets().open(DB_NAME);\n\n //Path to the created empty database on your Android device\n String outFileName = DB_PATH + DB_NAME;\n\n //Now create a stream for writing the database byte by byte\n OutputStream localDbStream = new FileOutputStream(outFileName);\n\n //Copying the database\n byte[] buffer = new byte[1024];\n int bytesRead;\n while ((bytesRead = externalDbStream.read(buffer)) > 0) {\n localDbStream.write(buffer, 0, bytesRead);\n }\n //Don’t forget to close the streams\n localDbStream.close();\n externalDbStream.close();\n }", "private void copyDataBase() throws IOException {\n InputStream myInput = myContext.getAssets().open(\"db/\" + DB_NAME);\n\n // Path to the just created empty db\n String outFileName = DB_PATH + DB_NAME;\n\n // Open the empty db as the output stream\n OutputStream myOutput = new FileOutputStream(outFileName);\n\n // transfer bytes from the inputfile to the outputfile\n byte[] buffer = new byte[1024];\n int length;\n while ((length = myInput.read(buffer)) > 0) {\n myOutput.write(buffer, 0, length);\n }\n\n // Close the streams\n myOutput.flush();\n myOutput.close();\n myInput.close();\n }", "private void copyDataBase()\r\n throws IOException\r\n {\r\n // Open your local db as the input stream\r\n InputStream myInput\r\n = myContext.getAssets()\r\n .open(DATABASE_NAME);\r\n\r\n // Path to the just created empty db\r\n String outFileName = DB_PATH;\r\n\r\n // Open the empty db as the output stream\r\n OutputStream myOutput\r\n = new FileOutputStream(outFileName);\r\n\r\n // transfer bytes from the\r\n // inputfile to the outputfile\r\n byte[] buffer = new byte[1024];\r\n int length;\r\n while ((length = myInput.read(buffer)) > 0) {\r\n myOutput.write(buffer, 0, length);\r\n }\r\n\r\n // Close the streams\r\n myOutput.flush();\r\n myOutput.close();\r\n myInput.close();\r\n }", "private void copyDatabase() throws IOException {\n\n AssetManager assetManager = mContext.getAssets();\n InputStream myInput = assetManager.open(DATABASE_NAME);\n\n getReadableDatabase();\n File mDbFile = mContext.getDatabasePath(DATABASE_NAME);\n// File mDbFile = new File(\"/data/data/\" + PACKAGE + \"/databases/\"+DATABASE_NAME);\n OutputStream myOutput = new FileOutputStream(mDbFile);\n\n //transfer bytes from the inputfile to the outputfile\n byte[] buffer = new byte[1024];\n int length;\n\n while ((length = myInput.read(buffer)) > 0) {\n myOutput.write(buffer, 0, length);\n }\n\n //Close the streams\n myOutput.flush();\n myOutput.close();\n myInput.close();\n\n }", "public void copyDataBase() throws IOException {\n\n // Open your local db as the input stream\n InputStream myInput = ApplicationContextProvider.getContext().getAssets().open(DATABASE_NAME);\n\n // Path to the just created empty db\n String outFileName = DB_PATH + DATABASE_NAME;\n\n // Open the empty db as the output stream\n OutputStream myOutput = new FileOutputStream(outFileName);\n\n // transfer bytes from the inputfile to the outputfile\n byte[] buffer = new byte[1024];\n int length;\n while ((length = myInput.read(buffer)) > 0) {\n myOutput.write(buffer, 0, length);\n }\n\n // Close the streams\n myOutput.flush();\n myOutput.close();\n myInput.close();\n }", "private void copyDataBase() throws IOException\n {\n \tInputStream myInput = myContext.getAssets().open(DB_NAME);\n \n \t// Path to the just created empty db\n \tString outFileName = DB_PATH + DB_NAME;\n \n \t//Open the empty db as the output stream\n \tOutputStream myOutput = new FileOutputStream(outFileName);\n \n \t//transfer bytes from the inputfile to the outputfile\n \tbyte[] buffer = new byte[1024];\n \tint length;\n \twhile ((length = myInput.read(buffer))>0){\n \t\tmyOutput.write(buffer, 0, length);\n \t}\n \n \t//Close the streams\n \tmyOutput.flush();\n \tmyOutput.close();\n \tmyInput.close();\n \t\n \tLog.d(\"COPY\", \"DONE\");\n \n }", "private void copyDataBase() throws IOException\n {\n \tInputStream myInput = myContext.getAssets().open(DB_NAME);\n \n \t// Path to the just created empty db\n \tString outFileName = DB_PATH + DB_NAME;\n \n \t//Open the empty db as the output stream\n \tOutputStream myOutput = new FileOutputStream(outFileName);\n \n \t//transfer bytes from the inputfile to the outputfile\n \tbyte[] buffer = new byte[1024];\n \tint length;\n \twhile ((length = myInput.read(buffer))>0){\n \t\tmyOutput.write(buffer, 0, length);\n \t}\n \n \t//Close the streams\n \tmyOutput.flush();\n \tmyOutput.close();\n \tmyInput.close();\n \t\n \tLog.d(\"COPY\", \"DONE\");\n \n }", "private void copyDataBase() throws IOException\r\n\t{\r\n\t\t// Open your local db as the input stream\r\n\t\tInputStream myInput = myContext.getAssets().open(DB_NAME);\r\n\r\n\t\t// Path to the just created empty db\r\n\t\tString outFileName = DB_PATH + DB_NAME;\r\n\r\n\t\t// Open the empty db as the output stream\r\n\t\tOutputStream myOutput = new FileOutputStream(outFileName);\r\n\r\n\t\t// transfer bytes from the inputfile to the outputfile\r\n\t\tbyte[] buffer = new byte[1024];\r\n\t\tint length;\r\n\t\twhile ((length = myInput.read(buffer)) > 0)\r\n\t\t{\r\n\t\t\tmyOutput.write(buffer, 0, length);\r\n\t\t}\r\n\r\n\t\t// Close the streams\r\n\t\tmyOutput.flush();\r\n\t\tmyOutput.close();\r\n\t\tmyInput.close();\r\n\r\n\t}", "private void copyDataBase() throws IOException {\n\n\t\tInputStream myInput = rssContext.getAssets().open(DATABASE_NAME);\n\t\tString outFileName = DATABASE_PATH + DATABASE_NAME;\n\t\tOutputStream myOutput = new FileOutputStream(outFileName);\n\t\tbyte[] buffer = new byte[1024];\n\t\tint length;\n\t\twhile ((length = myInput.read(buffer)) > 0) {\n\t\t\tmyOutput.write(buffer, 0, length);\n\t\t}\n\t\tmyOutput.flush();\n\t\tmyOutput.close();\n\t\tmyInput.close();\n\t}", "private void copyDataBase() throws IOException {\n\n //Open your local db as the input stream\n InputStream myInput = context.getAssets().open(DATABASE_NAME);\n\n // Path to the just created empty db\n String outFileName = DATABASE_PATH + DATABASE_NAME;\n\n //Open the empty db as the output stream\n OutputStream myOutput = null;\n myOutput = new FileOutputStream(outFileName);\n\n //transfer bytes from the inputfile to the outputfile\n byte[] buffer = new byte[1024];\n int length;\n while ((length = myInput.read(buffer)) > 0) {\n myOutput.write(buffer, 0, length);\n }\n\n //Close the streams\n myOutput.flush();\n myOutput.close();\n myInput.close();\n\n }", "private void copyDataBase() throws IOException {\n InputStream myInput = myContext.getAssets().open(DATABASE_NAME);\n\n // Path to the just created empty db\n String outFileName = DB_PATH + DATABASE_NAME;\n\n //Open the empty db as the output stream\n OutputStream myOutput = new FileOutputStream(outFileName);\n\n //transfer bytes from the inputfile to the outputfile\n byte[] buffer = new byte[1024];\n int length;\n while ((length = myInput.read(buffer))>0){\n myOutput.write(buffer, 0, length);\n }\n\n //Close the streams\n myOutput.flush();\n myOutput.close();\n myInput.close();\n\n }", "private void copyDataBase() throws IOException{\n\n //Open your local db as the input stream\n InputStream myInput = myContext.getAssets().open(DB_NAME);\n\n // Path to the just created empty db\n String outFileName = DB_PATH + DB_NAME;\n\n //Open the empty db as the output stream\n OutputStream myOutput = new FileOutputStream(outFileName);\n\n //transfer bytes from the inputfile to the outputfile\n byte[] buffer = new byte[1024];\n int length;\n while ((length = myInput.read(buffer))>0){\n myOutput.write(buffer, 0, length);\n }\n\n //Close the streams\n myOutput.flush();\n myOutput.close();\n myInput.close();\n\n }", "private void copyDataBase() throws IOException{\n\n //Open your local db as the input stream\n InputStream myInput = myContext.getAssets().open(DB_NAME);\n\n // Path to the just created empty db\n String outFileName = DB_PATH + DB_NAME;\n\n //Open the empty db as the output stream\n OutputStream myOutput = new FileOutputStream(outFileName);\n\n //transfer bytes from the inputfile to the outputfile\n byte[] buffer = new byte[1024];\n int length;\n while ((length = myInput.read(buffer))>0){\n myOutput.write(buffer, 0, length);\n }\n\n //Close the streams\n myOutput.flush();\n myOutput.close();\n myInput.close();\n\n }", "public void copyDatabase(Context context) {\n try {\n AssetManager assetManager = context.getAssets();\n InputStream is = null;\n try {\n is = assetManager.open(DATABASE_NAME);\n } catch (IOException e) {\n e.printStackTrace();\n }\n\n //mo file de ghi\n String path = DATABASE_PATH + DATABASE_NAME;\n File f = new File(path);\n if (f.exists()) {\n return;\n } else {\n f.createNewFile();\n }\n FileOutputStream fos = new FileOutputStream(f);\n byte[] b = new byte[1024];\n int lenght = 0;\n\n while ((lenght = is.read(b)) != -1) {\n fos.write(b, 0, lenght);\n fos.flush();\n }\n is.close();\n fos.close();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "private void copyDataBase() throws IOException {\n InputStream myInput = this.getAssets().open(\"nes.sqlite\");\n // Path to the just created empty db\n\n String outFileName = getApplicationInfo().dataDir + \"/databases/\" + \"nes.sqlite\";\n //String outFileName = \"/data/data/\" +getApplicationContext().getPackageName() + \"/databases/\" + \"nes.sqlite\";\n // Open the empty db as the output stream\n OutputStream myOutput = new FileOutputStream(outFileName);\n // transfer bytes from the inputfile to the outputfile\n byte[] buffer = new byte[1024];\n int length;\n while ((length = myInput.read(buffer)) > 0) {\n myOutput.write(buffer, 0, length);\n\n }\n // Close the streams\n myOutput.flush();\n myOutput.close();\n myInput.close();\n //Toast toast = Toast.makeText(getApplicationContext(),\n // \"Creating nes database\",\n // Toast.LENGTH_SHORT);\n //toast.show();\n }", "private void copyDataBase() throws IOException {\n\t\tInputStream mInput = mContext.getAssets().open(DATABASE_NAME);\r\n\t\tString outFileName = DATABASE_PATH + DATABASE_NAME;\r\n\t\tOutputStream mOutput = new FileOutputStream(outFileName);\r\n\r\n\t\t// transferer donnees de la db\r\n\t\tbyte[] buffer = new byte[1024];\r\n\t\tint length;\r\n\t\twhile ((length = mInput.read(buffer)) > 0) {\r\n\t\t\tmOutput.write(buffer, 0, length);\r\n\t\t}\r\n\t\t// fermeture\r\n\t\tmOutput.flush();\r\n\t\tmOutput.close();\r\n\t\tmInput.close();\r\n\t}", "public void copyDataBase() throws IOException{\n try {\n InputStream myInput = context.getAssets().open(DB_NAME);\n String outputFileName = DB_PATH + DB_NAME;\n OutputStream myOutput = new FileOutputStream(outputFileName);\n\n byte[] buffer = new byte[1024];\n int length;\n\n while((length = myInput.read(buffer))>0){\n myOutput.write(buffer, 0, length);\n }\n\n myOutput.flush();\n myOutput.close();\n myInput.close();\n } catch (Exception e) {\n Log.e(\"tle99 - copyDatabase\", e.getMessage());\n }\n\n }", "public void dbCreate() throws IOException\n {\n boolean dbExist = dbCheck();\n\n if(!dbExist)\n {\n //By calling this method an empty database will be created into the default system patt\n //of the application so we can overwrite that db with our db.\n this.getReadableDatabase(); // create a new empty database in the correct path\n try\n {\n //copy the data from the database in the Assets folder to the new empty database\n copyDBFromAssets();\n }\n catch(IOException e)\n {\n throw new Error(\"Error copying database\");\n }\n }\n }", "private void copyDBFromAssets() throws IOException\n {\n InputStream dbInput = null;\n Log.e(\"Openassets\",\"arghh\");\n OutputStream dbOutput = null;\n Log.e(\"Openassets\",\"arghh\");\n String dbFileName = DB_PATH +DB_NAME;\n try\n {\n Log.e(\"Openassets\",\"arghh\");\n dbInput = appContext.getAssets().open(DB_NAME);\n dbOutput = new FileOutputStream(dbFileName);\n //transfer bytes from db Input to the db Output\n byte[] buffer = new byte[1024];\n int length;\n while ((length = dbInput.read(buffer))>0)\n {\n dbOutput.write(buffer, 0, length);\n }\n //close the stream\n dbOutput.flush();\n dbOutput.close();\n dbInput.close();\n }catch(IOException e)\n {\n throw new Error(\"Problems copying DB\");\n }\n }", "protected static void copyDataBaseFromAssets(Context context) throws IOException {\n InputStream myInput = context.getAssets().open(\"employee_mobile.db\");\n\n // Path to the just created empty db\n String outFileName = \"/data/data/com.example.multiframe/databases/\" + ETConstants.DB_NAME;\n\n SQLiteDatabase db = context.openOrCreateDatabase(\"employee_mobile.db\", context.MODE_PRIVATE, null);\n db.close();\n Log.w(\"DBHelper\", \"Copying file from \"+myInput+\" to \"+outFileName);\n //Open the empty db as the output stream\n OutputStream myOutput = new FileOutputStream(outFileName);\n\n //transfer bytes from the inputfile to the outputfile\n byte[] buffer = new byte[1024];\n int length;\n while ((length = myInput.read(buffer))>0){\n myOutput.write(buffer, 0, length);\n }\n\n //Close the streams\n myOutput.flush();\n myOutput.close();\n myInput.close();\n\n }", "public void createDataBase() throws IOException {\n boolean dbExist = checkDataBase();\n\n if (dbExist) {\n\n } else {\n this.getReadableDatabase();\n try {\n copyDataBase();\n } catch (IOException e) {\n Log.e(\"tle99 - create\", e.getMessage());\n }\n }\n }", "public void createDataBase() throws IOException{\n \n \tboolean dbExist = checkDataBase();\n \t\n \n \tif(dbExist){\n \t\t//do nothing - database already exists\n \t\tLog.d(\"Database Check\", \"Database Exists\");\n\n \t}else{\n \t\tLog.d(\"Database Check\", \"Database Doesn't Exist\");\n \t\tthis.close();\n \t\t//By calling this method and empty database will be created into the default system path\n //of your application so we are gonna be able to overwrite that database with our database.\n \tthis.getReadableDatabase();\n \tthis.close();\n \ttry {\n \t\t\tcopyDataBase();\n \t\t\tLog.d(\"Database Check\", \"Database Copied\");\n \n \t\t} catch (IOException e) {\n \t\tLog.d(\"I/O Error\", e.toString());\n\n \t\tthrow new Error(\"Error copying database\");\n \t}\n \tcatch (Exception e) { \n \t\tLog.d(\"Exception in createDatabase\", e.toString());\n \t\t\n \t}\n \t}\n \n }", "public void createDataBase() throws IOException {\n\n boolean dbExist = checkDataBase();\n\n if(dbExist){\n //do nothing - database already exist\n }else{\n\n //By calling this method and empty database will be created into the default system path\n //of your application so we are gonna be able to overwrite that database with our database.\n this.getReadableDatabase();\n\n try {\n\n copyDataBase();\n\n } catch (IOException e) {\n\n throw new Error(\"Error copying database\");\n\n }\n }\n\n }", "public void createDataBase() throws IOException {\n\n boolean dbExist = checkDataBase();\n\n if(dbExist){\n //do nothing - database already exist\n }else{\n\n //By calling this method and empty database will be created into the default system path\n //of your application so we are gonna be able to overwrite that database with our database.\n this.getReadableDatabase();\n\n try {\n\n copyDataBase();\n\n } catch (IOException e) {\n\n throw new Error(\"Error copying database\");\n\n }\n }\n\n }", "private void copyDataBase() throws IOException{\n \tLog.d(\"We're Here\", \"Copy Database\");\n \t//Open your local db as the input stream\n \tInputStream myInput = myContext.getAssets().open(DB_NAME);\n \tLog.d(\"We're Here\", \"SQLite db opened)\");\n \n \t// Path to the just created empty db\n \tString outFileName = DB_PATH + DB_NAME;\n \n \t//Open the empty db as the output stream\n \tOutputStream myOutput = new FileOutputStream(outFileName);\n \tLog.d(\"We're Here\", \"Output Stream Obtained)\");\n \n \t//transfer bytes from the inputfile to the outputfile\n \tbyte[] buffer = new byte[1024];\n \tint length;\n \twhile ((length = myInput.read(buffer))>0){\n \t\tmyOutput.write(buffer, 0, length);\n \t}\n \tLog.d(\"We're Here\", \"Copy Database Successful)\");\n \t//Close the streams\n \tmyOutput.flush();\n \tmyOutput.close();\n \tmyInput.close(); \t\n }", "private void copyDatabaseToDevice() throws IOException {\n try {\n InputStream input = context.getAssets().open(DB_NAME);\n String outputName = DB_PATH + DB_NAME;\n OutputStream output = new FileOutputStream(outputName);\n\n byte[] buff = new byte[1024];\n int length = input.read(buff);\n\n while(length >0){\n output.write(buff, 0, length);\n length = input.read(buff);\n }\n\n output.flush();\n output.close();\n input.close();\n } catch (Exception e) {\n e.printStackTrace();\n }\n\n }", "private void copyDatabaseFile(String destinationPath) throws IOException {\n InputStream assetsDB = this.getAssets().open(DB_NAME);\n OutputStream dbOut = new FileOutputStream(destinationPath);\n byte[] buffer = new byte[1024];\n int length;\n while ((length = assetsDB.read(buffer)) > 0) {\n dbOut.write(buffer, 0, length);\n }\n dbOut.flush();\n dbOut.close();\n }", "public void createDatabase() throws IOException {\n boolean dbExist = checkDataBase();\n// if(dbExist) {\n// Log.d(\"E\", \"Database exists.\");\n// try {\n// copyDataBase();\n// } catch (IOException e) {\n// Log.e(\"Error\", e.getMessage());\n// }\n// } else {\n// try {\n// copyDataBase();\n// } catch (IOException e) {\n// Log.e(\"Error1\", e.getMessage());\n// }\n// }\n\n if (!dbExist) {\n this.getReadableDatabase();\n this.close();\n try {\n //Copy the database from assests\n copyDataBase();\n Log.e(TAG, \"createDatabase database created\");\n } catch (IOException mIOException) {\n throw new Error(\"ErrorCopyingDataBase\");\n }\n }\n\n }", "public void copyDataBase() throws IOException {\n InputStream assetInput = context.getAssets().open(ZIP_DB_NAME);\r\n Log.i(LOG_TAG, \"opened zip_db\");\r\n ZipInputStream zipIn = new ZipInputStream(assetInput);\r\n\r\n ZipEntry entry = zipIn.getNextEntry();\r\n\r\n entry.getName();\r\n\r\n // path to the just created empty database\r\n String DBFileName = DB_PATH + DB_NAME;\r\n\r\n OutputStream DBOutput = new FileOutputStream(DBFileName);\r\n\r\n byte[] buffer = new byte[1024];\r\n\r\n int length;\r\n\r\n while ((length = zipIn.read(buffer)) > 0) {\r\n DBOutput.write(buffer, 0, length);\r\n Log.i(LOG_TAG, \"zipread\" + length);\r\n }\r\n Log.i(LOG_TAG, \"read end\");\r\n // close the streams\r\n DBOutput.flush();\r\n DBOutput.close();\r\n\r\n zipIn.close();\r\n assetInput.close();\r\n }", "public void initializeDataBase() {\r\n\r\n\r\n\r\n\t\tgetWritableDatabase();\r\n\t\tLog.e(\"DBHelper initializeDataBase \", \"Entered\");\r\n\t\tcreateDatabase = true;\r\n\t\tif (createDatabase) {\r\n\t\t\tLog.e(\"DBHelper createDatabase \", \"true\");\r\n\t\t\t/\r\n\t\t\t * If the database is created by the copy method, then the creation\r\n\t\t\t * code needs to go here. This method consists of copying the new\r\n\t\t\t * database from assets into internal storage and then caching it.\r\n\t\t\t /\r\n\t\t\ttry {\r\n\t\t\t\t/\r\n\t\t\t\t * Write over the empty data that was created in internal\r\n\t\t\t\t * storage with the one in assets and then cache it.\r\n\t\t\t\t /\r\n\t\t\t\tcopyStream(DB_PATH_IN, new FileOutputStream(DB_PATH));\r\n\t\t\t}\r\n\t\t\tcatch (Exception e) \r\n\t\t\t{\r\n\t\t\t\tthrow new Error(\"Error copying database\");\r\n\t\t\t}\r\n\t\t} \r\n\t\telse if (upgradeDatabase) \r\n\t\t{\r\n\t\t\tLog.e(\"DBHelper upgradeDatabase \", \"true\");\r\n\t\t\ttry\r\n\t\t\t{\r\n\t\t\t\t/\r\n\t\t\t\t * Write over the empty data that was created in internal\r\n\t\t\t\t * storage with the one in assets and then cache it.\r\n\t\t\t\t /\r\n\t\t\t\tcopyStream(DB_PATH_IN, new FileOutputStream(DB_PATH));\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\tthrow new Error(\"Error copying database\");\r\n\t\t\t}\r\n\t\t}\r\n\t\tLog.e(\"DBHelper clear \", \"true\");\r\n\t}", "private void createDataBase() throws IOException {\n\n boolean dbExist = checkDataBase();\n\n if (dbExist) {\n // do nothing - database already exist\n Log.d(\"DATABASE\",\"Database Exit Already.\");\n\n } else {\n\n // Create Folder\n String newFolder = \"/games\";\n String extStorageDirectory = Environment.getExternalStorageDirectory().toString();\n File myNewFolder = new File(extStorageDirectory + newFolder);\n myNewFolder.mkdir();\n\n // Create Folder\n// newFolder = \"/FishRisk/Game\";\n// extStorageDirectory = Environment.getExternalStorageDirectory().toString();\n// myNewFolder = new File(extStorageDirectory + newFolder);\n// myNewFolder.mkdir();\n\n // Create Folder\n newFolder = \"/games/Report\";\n extStorageDirectory = Environment.getExternalStorageDirectory().toString();\n myNewFolder = new File(extStorageDirectory + newFolder);\n myNewFolder.mkdir();\n\n // Create Folder\n newFolder = \"/games/Config\";\n extStorageDirectory = Environment.getExternalStorageDirectory().toString();\n myNewFolder = new File(extStorageDirectory + newFolder);\n myNewFolder.mkdir();\n\n //copyConfigFile();\n\n // By calling this method an empty database will be created into\n // the default system path\n // of your application so we are gonna be able to overwrite that\n // database with our database.\n this.getReadableDatabase();\n\n try {\n copyDataBase();\n copyConfigFile();\n } catch (IOException e) {\n\n throw new Error(\"Error copying database\");\n }\n }\n }", "public void createDatabase() throws IOException{\r\n\r\n boolean dbDoesExist = checkDatabase();\r\n if(!dbDoesExist)\r\n {\r\n // Create or open db if db is not connected\r\n this.getReadableDatabase();\r\n try{\r\n createNewDB();\r\n }catch (IOException e){\r\n throw new Error(\"DB Copy Failed\");\r\n }\r\n }\r\n }", "public void createDatabase() throws IOException {\n boolean dbExists = checkDatabase();\n\n if (dbExists) {\n // Do nothing - database already exists\n } else {\n // By calling this method an empty database will be created into the\n // default system path of our application so we are going to be able\n // to overwrite the database with our database.\n this.getReadableDatabase();\n\n try {\n copyDatabase();\n } catch (IOException e) {\n throw new Error(\"Error copying database\");\n }\n }\n }", "public void importDatabase (String name) throws IOException {\n // Closes all database connections to commit to mem\n databaseHandler.close();\n // Determines paths\n String inFileName = BACKUP_DB_PATH_DIR + name;\n\n File fromDB = new File(inFileName);\n File toDB = new File(CURRENT_DB_PATH);\n // Copy the database to the new location\n copyFile(new FileInputStream(fromDB), new FileOutputStream(toDB));\n Log.d(\"Import Database\", \"succeeded\");\n }", "DataBase createDataBase();", "void createDatabaseOnDevice() throws IOException {\n boolean databaseExists = checkIfDatabaseOnDevice();\n\n if (!databaseExists) {\n this.getReadableDatabase();\n\n try {\n copyDatabaseToDevice();\n } catch (IOException e) {\n e.printStackTrace();\n }\n }\n }", "public void createNewDataBase() {\n try (Connection conn = DriverManager.getConnection(url)) {\n if (conn != null) {\n DatabaseMetaData meta = conn.getMetaData();\n createNewTable();\n }\n } catch (SQLException e) {\n System.out.println(e.getMessage());\n }\n }", "protected Boolean doInBackground(final String... args) {\r\n\r\n File dbFile = new File(context.getDatabasePath(DatabaseHelper.DATABASE_NAME).toString());\r\n System.out.println(context.getDatabasePath(DatabaseHelper.DATABASE_NAME.toString()));\r\n File exportDir = new File(Environment.getExternalStorageDirectory(), \"\");\r\n if (!exportDir.exists()) {\r\n exportDir.mkdirs();\r\n }\r\n File file = new File(exportDir, \"LandlordBuddy_DB\");\r\n\r\n try {\r\n file.createNewFile();\r\n this.copyFile(dbFile, file);\r\n return true;\r\n } catch (IOException e) {\r\n Log.e(\"mypck\", e.getMessage(), e);\r\n return false;\r\n }\r\n }", "Database createDatabase();", "public static void createNewDatabaseFile(String startPath)\r\n throws ConnectionFailedException, DatabaseException {\r\n boolean databaseCreated;\r\n try {\r\n databaseCreated = database.createNewFile();\r\n if (!databaseCreated) {\r\n throw new IOException(\"Cannot create file\");\r\n }\r\n\r\n URL databaseResource = Objects.requireNonNull(Paths.get(\r\n startPath + \"resources/database/database.sql\").toUri().toURL());\r\n String decodedPath = URLDecoder.decode(databaseResource.getPath(), \"UTF-8\");\r\n\r\n try (BufferedReader in = new BufferedReader(new FileReader(decodedPath))) {\r\n StringBuilder sqlQuery = new StringBuilder();\r\n while (in.ready()) {\r\n sqlQuery.append(in.readLine());\r\n if (sqlQuery.toString().endsWith(\";\")) {\r\n createBasicSqlTable(sqlQuery.toString());\r\n sqlQuery = new StringBuilder();\r\n }\r\n }\r\n }\r\n } catch (IOException e) {\r\n throwException(e);\r\n }\r\n }", "public static void createDataBase() {\n final Configuration conf = new Configuration();\n\n addAnnotatedClass(conf);\n\n conf.configure();\n new SchemaExport(conf).create(true, true);\n }", "private void createDatabase() throws Exception{\n Statement stm = this.con.createStatement();\n stm.execute(\"CREATE DATABASE IF NOT EXISTS \" + database +\n \" DEFAULT CHARACTER SET utf8 COLLATE utf8_persian_ci\");\n }", "public void createDB() {\n String url = \"jdbc:sqlite:stats.db\";\n Statement stmt = null;\n try (Connection conn = DriverManager.getConnection(url)) {\n stmt = conn.createStatement();\n String query = \"CREATE TABLE IF NOT EXISTS games \"\n + \"(ownships int, \"\n + \"ownremaining int, \"\n + \"aiships int,\"\n + \"airemaining int, \"\n + \"turns int)\";\n\n stmt.executeUpdate(query);\n\n } catch (SQLException ex) {\n System.out.println(ex.getMessage());\n }\n }", "public void createDB(){\r\n\t\t\r\n\t\t Connection connection = null;\r\n\t try\r\n\t {\r\n\t // create a database connection\r\n\t connection = DriverManager.getConnection(\"jdbc:sqlite:project.sqlite\");\r\n\t Statement statement = connection.createStatement();\r\n\t statement.setQueryTimeout(30); // set timeout to 30 sec.\r\n\r\n\t statement.executeUpdate(\"drop table if exists task\");\r\n\t statement.executeUpdate(\"create table task (taskId integer primary key asc, description string, status string, createDate datetime default current_timestamp)\");\r\n\t statement.executeUpdate(\"insert into task values(1, 'leo', 'Active', null)\");\r\n\t statement.executeUpdate(\"insert into task values(2, 'yui', 'Complete', null)\");\r\n\t }\r\n\t catch(SQLException ex){\r\n\t \tthrow new RuntimeException(ex);\r\n\t }\r\n\t\t\r\n\t}", "private void backUpDb() throws FileNotFoundException, IOException {\n backUpDb(Options.toString(Options.DATABASE));\n }", "private boolean databaseExists() {\n SQLiteDatabase checkDB = null;\n try {\n String myPath = DATABASE_PATH + DATABASE_NAME;\n checkDB = SQLiteDatabase.openDatabase(myPath, null, SQLiteDatabase.OPEN_READONLY);\n } catch (SQLiteException e) {\n Log.i(\"burra\",\"Database \"+DATABASE_PATH+DATABASE_NAME+\"not found. Will copy from assets folder\");\n }\n if(null!=checkDB){\n checkDB.close();\n return true;\n }\n return false;\n }", "private void setupDatabase()\n {\n try\n {\n Class.forName(\"com.mysql.jdbc.Driver\");\n }\n catch (ClassNotFoundException e)\n {\n simpleEconomy.getLogger().severe(\"Could not load database driver.\");\n simpleEconomy.getServer().getPluginManager().disablePlugin(simpleEconomy);\n e.printStackTrace();\n }\n\n try\n {\n connection = DriverManager\n .getConnection(String.format(\"jdbc:mysql://%s/%s?user=%s&password=%s\",\n simpleEconomy.getConfig().getString(\"db.host\"),\n simpleEconomy.getConfig().getString(\"db.database\"),\n simpleEconomy.getConfig().getString(\"db.username\"),\n simpleEconomy.getConfig().getString(\"db.password\")\n ));\n\n // Loads the ddl from the jar and commits it to the database.\n InputStream input = getClass().getResourceAsStream(\"/ddl.sql\");\n try\n {\n String s = IOUtils.toString(input);\n connection.createStatement().execute(s);\n }\n catch (IOException e)\n {\n e.printStackTrace();\n }\n finally\n {\n try\n {\n input.close();\n }\n catch (IOException e)\n {\n e.printStackTrace();\n }\n }\n }\n catch (SQLException e)\n {\n simpleEconomy.getLogger().severe(\"Could not connect to database.\");\n simpleEconomy.getServer().getPluginManager().disablePlugin(simpleEconomy);\n e.printStackTrace();\n }\n }", "public void creatDataBase(String dbName);", "@Override\r\n\t\t\tpublic void run() {\n\t\t\t\tsuper.run();\r\n\t\t\t\tFile file=new File(getFilesDir(),dbname);\r\n\t\t\t\tif(file.exists()&& file.length()>0){\r\n\t\t\t\t\tSystem.out.println(\"数据库已经存在\");\r\n\t\t\t\t\treturn;\r\n\t\t\t\t}\r\n\t\t\t\ttry {\r\n\t\t\t\t\tInputStream is=getAssets().open(dbname);\r\n\t\t\t\t\tFileOutputStream fos=openFileOutput(dbname, MODE_PRIVATE);\r\n\t\t\t\t\tbyte[] buffer=new byte[1024];\r\n\t\t\t\t\tint len=0;\r\n\t\t\t\t\twhile ((len=is.read(buffer))!=-1) {\r\n\t\t\t\t\t\tfos.write(buffer,0,len);\r\n\t\t\t\t\t}\r\n\t\t\t\t\tis.close();\r\n\t\t\t\t\tfos.close();\r\n\t\t\t\t} catch (IOException e) {\r\n\t\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\t\te.printStackTrace();\r\n\t\t\t\t}\r\n\t\t\t}", "private static void initializeDatabase()\n\t{\n\t\tResultSet resultSet = dbConnect.getMetaData().getCatalogs();\n\t\tStatment statement = dbConnect.createStatement();\n\t\t\n\t\tif (resultSet.next())\n\t\t{\n\t\t\tstatement.execute(\"USE \" + resultSet.getString(1));\n\t\t\tstatement.close();\n\t\t\tresultSet.close();\n\t\t\treturn; //A database exists already\n\t\t}\n\t\tresultSet.close();\n\t\t//No database exists yet, create it.\n\t\t\n\t\tstatement.execute(\"CREATE DATABASE \" + dbName);\n\t\tstatement.execute(\"USE \" + dbName);\n\t\tstatement.execute(createTableStatement);\n\t\tstatement.close();\n\t\treturn;\n\t}", "private void create1108(SQLiteDatabase db) {\n try (InputStream input = getTestContext().getAssets().open(CONTACTS2_DB_1108_ASSET_NAME);) {\n BufferedReader r = new BufferedReader(new InputStreamReader(input));\n String query;\n while ((query = r.readLine()) != null) {\n db.execSQL(query);\n }\n } catch (IOException e) {\n throw new RuntimeException(e.toString());\n }\n }", "public void dbCreate() {\n Logger.write(\"INFO\", \"DB\", \"Creating database\");\n try {\n if (!Database.DBDirExists())\n Database.createDBDir();\n dbConnect(false);\n for (int i = 0; i < DBStrings.createDB.length; i++)\n execute(DBStrings.createDB[i]);\n } catch (Exception e) {\n Logger.write(\"FATAL\", \"DB\", \"Failed to create databse: \" + e);\n }\n }", "public static void createDatabaseIfNotExists() throws DaoException {\n\n Path data = Paths.get(DATA_DIR);\n if (!Files.exists(data)) {\n try {\n Files.createDirectory(data);\n Files.createDirectory(Paths.get(DATA_DIR, ACCOUNT_DATA_DIR));\n } catch (IOException ex) {\n throw new DaoException(\"Could not create data directory\", ex);\n }\n }\n\n }", "public void createDB() {\n\t\ttry {\n\t\t\tBufferedReader br= new BufferedReader(new FileReader(\"db_schema.txt\"));\n\t\t\tString line= null;\n\t\t\tStringBuilder sb= new StringBuilder();\n\t\t\twhile ((line=br.readLine())!=null){\n\t\t\t\tsb.append(line);\n\t\t\t\tif(sb.length()>0 && sb.charAt(sb.length()-1)==';'){//see if it is the end of one line of command\n\t\t\t\t\tstatement.executeUpdate(sb.toString());\n\t\t\t\t\tsb= new StringBuilder();\n\t\t\t\t}\n\t\t\t}\n\t\t\tbr.close();\n\t\t} catch (FileNotFoundException e) {\n\t\t\te.printStackTrace();\n\t\t} catch (IOException e) {\n\t\t\te.printStackTrace();\n\t\t} catch (SQLException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "public static void deploy(SQLiteDatabase sqlLiteDb, Context context, String dbName) throws IOException {\n Log.i(TAG, \"reading zip file: \" + dbName);\n InputStream dbStream = context.getAssets().open(dbName);\n\n deploy(sqlLiteDb, dbStream);\n\n dbStream.close();\n }", "private void createDatabase() throws SQLException\r\n {\r\n myStmt.executeUpdate(\"create database \" + dbname);\r\n }", "public synchronized void createIfNotExists(SQLiteDatabase db) {\n db.execSQL(SQL_CREATE_DATASOURCE);\n }", "private void createDatabase(final String databaseName) {\n\n try {\n final Connection connection =\n DriverManager.getConnection(url + databaseName, databaseProperties);\n\n try {\n NaviLogger.info(\"[i] Generating database tables for %s.\", databaseName);\n connection.prepareStatement(AbstractSQLProvider.parseResourceAsSQLFile(\n this.getClass().getResourceAsStream(TEST_DATA_DIRECTORY + \"database_schema.sql\")))\n .execute();\n } catch (final IOException exception) {\n CUtilityFunctions.logException(exception);\n }\n\n final File testDataDir = new File(\n \"./third_party/zynamics/javatests/com/google/security/zynamics/binnavi/testdata/\"\n + databaseName + \"/\");\n\n final CopyManager manager = new CopyManager((BaseConnection) connection);\n\n for (final File currentFile : testDataDir.listFiles()) {\n try (FileReader reader = new FileReader(currentFile)) {\n final String tableName = currentFile.getName().split(\".sql\")[0];\n NaviLogger.info(\"[i] Importing: %s.%s from %s\", databaseName, tableName,\n currentFile.getAbsolutePath());\n manager.copyIn(\"COPY \" + tableName + \" FROM STDIN\", reader);\n } catch (final IOException exception) {\n CUtilityFunctions.logException(exception);\n }\n }\n\n try {\n NaviLogger.warning(\"[i] Generating constraints for %s.\", databaseName);\n connection.prepareStatement(AbstractSQLProvider.parseResourceAsSQLFile(\n this.getClass().getResourceAsStream(TEST_DATA_DIRECTORY + \"database_constraints.sql\")))\n .execute();\n } catch (final IOException exception) {\n CUtilityFunctions.logException(exception);\n }\n\n final String findSequencesQuery = \"SELECT 'SELECT SETVAL(' \|\|quote_literal(S.relname)\|\| \"\n + \"', MAX(' \|\|quote_ident(C.attname)\|\| ') ) FROM ' \|\|quote_ident(T.relname)\|\| ';' \"\n + \" FROM pg_class AS S, pg_depend AS D, pg_class AS T, pg_attribute AS C \"\n + \" WHERE S.relkind = 'S' AND S.oid = D.objid AND D.refobjid = T.oid \"\n + \" AND D.refobjid = C.attrelid AND D.refobjsubid = C.attnum ORDER BY S.relname; \";\n\n try (PreparedStatement statement = connection.prepareStatement(findSequencesQuery);\n ResultSet resultSet = statement.executeQuery()) {\n while (resultSet.next()) {\n final PreparedStatement fixSequence = connection.prepareStatement(resultSet.getString(1));\n fixSequence.execute();\n }\n } catch (final SQLException exception) {\n CUtilityFunctions.logException(exception);\n }\n\n } catch (final SQLException exception) {\n CUtilityFunctions.logException(exception);\n }\n }", "private void m14053d() {\n try {\n File file = new File(f18051l);\n File file2 = new File(f18052m);\n if (!file.exists()) {\n file.mkdirs();\n }\n if (!file2.exists()) {\n file2.createNewFile();\n }\n if (file2.exists()) {\n SQLiteDatabase openOrCreateDatabase = SQLiteDatabase.openOrCreateDatabase(file2, null);\n openOrCreateDatabase.execSQL(\"CREATE TABLE IF NOT EXISTS bdcltb09(id CHAR(40) PRIMARY KEY,time DOUBLE,tag DOUBLE, type DOUBLE , ac INT);\");\n openOrCreateDatabase.execSQL(\"CREATE TABLE IF NOT EXISTS wof(id CHAR(15) PRIMARY KEY,mktime DOUBLE,time DOUBLE, ac INT, bc INT, cc INT);\");\n openOrCreateDatabase.setVersion(1);\n openOrCreateDatabase.close();\n }\n this.f18053a = true;\n } catch (Exception e) {\n }\n }", "public void create() {\n\t\t\tdb.execSQL(AGENCYDB_CREATE+\".separete,.import agency.txt agency\");\n\t\t\tdb.execSQL(STOPSDB_CREATE+\".separete,.import stop_times.txt stop_times\");\n\t\t\t\n\t\t\t// Add 2 agencies for testing\n\t\t\t\n\t\t\t\n\t\t\tdb.setVersion(DATABASE_VERSION);\n\t\t}", "@Override\n public void onCreate(SQLiteDatabase db) {\n executeSQLScript(db, \"sql/cstigo_v\" + DATABASE_VERSION + \".sql\");\n }", "DatabaseTable_DataSource(SQLiteDatabase db) {\n createIfNotExists(db);\n }", "public void initDb() {\n String createVac = \"create table if not exists vacancies(id serial primary key,\"\n + \"name varchar(1500) NOT NULL UNIQUE, url varchar (1500), description text, dateVac timestamp);\";\n try (Statement st = connection.createStatement()) {\n st.execute(createVac);\n } catch (SQLException e) {\n LOG.error(e.getMessage());\n }\n }", "public void createDatabase(String dbName, String owner) throws Exception;", "private void createDB() {\n try {\n Statement stat = conn.createStatement();\n stat.execute(\"CREATE TABLE settings (name TEXT, state);\");\n stat.execute(\"CREATE TABLE expressions (id INTEGER PRIMARY KEY ASC AUTOINCREMENT, expression TEXT);\");\n stat.execute(\"CREATE TABLE summaries (id INTEGER PRIMARY KEY ASC, expression_id INTEGER, title TEXT, abstract TEXT);\");\n stat.execute(\"CREATE TABLE history (id INTEGER PRIMARY KEY ASC AUTOINCREMENT, expression TEXT);\");\n } catch (SQLException e) {\n System.err.println(e.getClass().getName() + \": \" + e.getMessage());\n System.exit(0);\n }\n }", "private void setupDb(){\n try {\n openConnection();\n s.executeUpdate(\"CREATE TABLE IF NOT EXISTS LIB (NAME text UNIQUE , TYPE text, LANGUAGE text, INTRUSIVE text, OPENSOURCE text)\");\n }catch (SQLException e) {\n System.err.println(e.getMessage());\n }finally {\n if (c != null){\n close(c);\n }\n }\n }", "public void copyConfigFile() throws IOException {\n InputStream myInput = ApplicationContextProvider.getContext().getAssets().open(CONFIG_FILE);\n\n // Path to the just created empty db\n //String outFileName = DB_PATH + DATABASE_NAME;\n String outFileName = \"/sdcard/games/Config/ConfigA.txt\";\n\n\n // Open the empty db as the output stream\n OutputStream myOutput = new FileOutputStream(outFileName);\n\n // transfer bytes from the inputfile to the outputfile\n byte[] buffer = new byte[1024];\n int length;\n while ((length = myInput.read(buffer)) > 0) {\n myOutput.write(buffer, 0, length);\n }\n\n // Close the streams\n myOutput.flush();\n myOutput.close();\n myInput.close();\n }", "public static void createDatabase() throws SQLException {\n\t\tSystem.out.println(\"DROP database IF EXISTS project02;\");\n\t\tstatement = connection.prepareStatement(\"DROP database IF EXISTS project02;\");\n\t\tstatement.executeUpdate();\n\t\tSystem.out.println(\"CREATE database project02;\");\n\t\tstatement = connection.prepareStatement(\"CREATE database project02;\");\n\t\tstatement.executeUpdate();\n\t\tSystem.out.println(\"USE project02;\");\n\t\tstatement = connection.prepareStatement(\"USE project02;\");\n\t\tstatement.executeUpdate();\n\t}", "protected void setupDB() {\n\t\tlog.info(\"------------------------------------------\");\n\t\tlog.info(\"Initialization database started\");\n\t\tlog.info(\"ddl: db-config.xml\");\n\t\tlog.info(\"------------------------------------------\");\n\t\ttry {\n\t\t\tfinal List<String> lines = Files.readAllLines(Paths.get(this.getClass()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.getClassLoader()\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.getResource(\"create-campina-schema.sql\")\n\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t\t.toURI()), Charset.forName(\"UTF-8\"));\n\n\t\t\tfinal List<String> statements = new ArrayList<>(lines.size());\n\t\t\tString statement = \"\";\n\t\t\tfor (String string : lines) {\n\t\t\t\tstatement += \" \" + string;\n\t\t\t\tif (string.endsWith(\";\")) {\n\t\t\t\t\tstatements.add(statement);\n\t\t\t\t\tstatement = \"\";\n\t\t\t\t}\n\t\t\t}\n\t\t\ttry (final Connection con = conManager.getConnection(Boolean.FALSE)) {\n\t\t\t\ttry (final PreparedStatement pstmt = con.prepareStatement(\"DROP SCHEMA IF EXISTS campina\")) {\n\t\t\t\t\tpstmt.executeUpdate();\n\t\t\t\t}\n\t\t\t\tfor (String string : statements) {\n\t\t\t\t\tlog.info(\"Executing ddl: \" + string);\n\t\t\t\t\ttry (final PreparedStatement pstmt = con.prepareStatement(string)) {\n\t\t\t\t\t\tpstmt.executeUpdate();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t} catch (SQLException e) {\n\t\t\t\tthrow new IllegalStateException(\"Could not setup db\", e);\n\t\t\t}\n\t\t} catch (Throwable e) {\n\t\t\tlog.error(\"Could not setup database\", e);\n\t\t\tthrow new IllegalStateException(\"ddl file load failed\", e);\n\t\t}\n\t\tlog.info(\"------------------------------------------\");\n\t\tlog.info(\"Initialization database finished\");\n\t\tlog.info(\"------------------------------------------\");\n\t}", "void createDb(String dbName);", "@Override\n\tpublic void CreateDatabaseFromFile() {\n\t\tfinal String FILENAME = \"fandv.sql\";\n\t\tint[] updates = null;\n\t\ttry {\n\t\t\tMyDatabase db = new MyDatabase();\n\t\t\tupdates = db.updateAll(FILENAME);\n\t\t} catch (FileNotFoundException \| SQLException \| ClassNotFoundException e) {\n\t\t\tSystem.out.println(\"Database issue\");\n\t\t\te.printStackTrace();\n\t\t}\n\t\t\n\t\tint sum = 0;\n\t\tfor (int i = 0; i < updates.length; i++) {\n\t\t\tsum += updates[i];\n\t\t}\n\t\tSystem.out.println(\"Number of updates: \" + sum);\n\t}", "private createSingletonDatabase()\n\t{\n\t\tConnection conn = createDatabase();\n\t\tcreateTable();\n\t\tString filename = \"Summer expereince survey 2016 for oliver.csv\"; \n\t\timportData(conn, filename);\n\t}", "private void preloadDb() {\n String[] branches = getResources().getStringArray(R.array.branches);\n //Insertion from xml\n for (String b : branches)\n {\n dataSource.getTherapyBranchTable().insertTherapyBranch(b);\n }\n String[] illnesses = getResources().getStringArray(R.array.illnesses);\n for (String i : illnesses)\n {\n dataSource.getIllnessTable().insertIllness(i);\n }\n String[] drugs = getResources().getStringArray(R.array.drugs);\n for (String d : drugs)\n {\n dataSource.getDrugTable().insertDrug(d);\n }\n }", "@Override\n\tpublic void onCreate(SQLiteDatabase db, ConnectionSource connectionSource) {\n\t\ttry {\n\t\t\tLog.i(DatabaseHelper.class.getName(), \"onCreate\");\n\t\t\tTableUtils.createTable(connectionSource, Place.class);\n\t\t\tTableUtils.createTable(connectionSource, Lock.class);\n\t\t\tTableUtils.createTable(connectionSource, User.class);\n\t\t\tTableUtils.createTable(connectionSource, Locator.class);\n\t\t} catch (SQLException e) {\n\t\t\tLog.e(DatabaseHelper.class.getName(), \"Can't create database\", e);\n\t\t\tthrow new RuntimeException(e);\n\t\t}\n\t}", "public SQLiteDatabase openDatabase() {\n synchronized (mLock) {\n Log.d(\"Opening database.\");\n File path = mContext.getDatabasePath(DatabaseOpenHelper.NAME);\n //Check if database exists and if not copy from assests folder\n if (!path.exists()) {\n try {\n mOpenHelper = new DatabaseOpenHelper(mContext);\n mOpenHelper.getWritableDatabase();\n\n copyDataBase();\n }\n catch (IOException e) {\n Log.e(\"Could not copy dictionary.\", e);\n }\n }\n if (mOpenHelper == null) {\n mOpenHelper = new DatabaseOpenHelper(mContext);\n }\n return mOpenHelper.getWritableDatabase();\n }\n }", "public void createIntegrationTestDatabase() throws SQLException {\n\n final Connection connection = DriverManager.getConnection(url + \"postgres\", databaseProperties);\n\n connection.prepareStatement(\"DROP DATABASE IF EXISTS test_disassembly\").execute();\n connection.prepareStatement(\"DROP DATABASE IF EXISTS test_import\").execute();\n connection.prepareStatement(\"DROP DATABASE IF EXISTS test_empty\").execute();\n\n connection.prepareStatement(\"CREATE DATABASE test_disassembly\").execute();\n connection.prepareStatement(\"CREATE DATABASE test_import\").execute();\n connection.prepareStatement(\"CREATE DATABASE test_empty\").execute();\n\n connection.close();\n\n createDatabase(TEST_IMPORT);\n createDatabase(TEST_DISASSEMBLY);\n }", "public void createDB(String filename) throws SQLException {\n //System.out.printf(\"Connecting to the database %s.%n\", filename);\n / \n * Connect to the database (file). If the file does not exist, create it.\n */\n Connection db_connection = DriverManager.getConnection(SQLITEDBPATH + filename);\n this.createTables(db_connection);\n this.initTableCities(db_connection);\n this.initTableTeams(db_connection);\n //System.out.printf(\"Connection to the database has been established.%n\");\n db_connection.close();\n //System.out.printf(\"Connection to the database has been closed.%n\");\n }", "public static void backupDatabase() throws IOException {\n\t\tString inFileName = \"/data/data/com.tip.mefgps/databases/MEF\";\n\t\tFile dbFile = new File(inFileName);\n\t\tFileInputStream fis = new FileInputStream(dbFile);\n\n\t\tString outFileName = Environment.getExternalStorageDirectory()+\"/MEF.sqlite3\";\n\t\t//Open the empty db as the output stream\n\t\tOutputStream output = new FileOutputStream(outFileName);\n\t\t//transfer bytes from the inputfile to the outputfile\n\t\tbyte[] buffer = new byte[1024];\n\t\tint length;\n\t\twhile ((length = fis.read(buffer))>0){\n\t\t\toutput.write(buffer, 0, length);\n\t\t}\n\t\t//Close the streams\n\t\toutput.flush();\n\t\toutput.close();\n\t\tfis.close();\n\t}", "public static void backupDatabase(Context context) throws IOException {\n String backupFileName = new SimpleDateFormat(\"yyyy-MM-dd-HH-mm-ss\")\n .format(System.currentTimeMillis()) + \".backup\";\n\n File from = context.getDatabasePath(DatabaseHelper.DATABASE_NAME);\n File to = new File(Environment.getExternalStorageDirectory(),\n BACKUP_DIR + backupFileName);\n\n // Create missing directories.\n if (!to.exists()) {\n to.getParentFile().mkdirs();\n to.createNewFile();\n }\n\n FileUtils.copyFile(from, to);\n }", "public void createNewSchema() throws SQLException {\n ResultSet resultSet = databaseStatement.executeQuery(\"select count(datname) from pg_database\");\n int uniqueID = 0;\n if(resultSet.next()) {\n uniqueID = resultSet.getInt(1);\n }\n if(uniqueID != 0) {\n uniqueID++;\n databaseStatement.executeQuery(\"CREATE DATABASE OSM\"+uniqueID+\";\");\n }\n }", "@Override\n public void onCreate(SQLiteDatabase db) {\n for (int i = 0; i<onCreateScripts.length; i++)\n db.execSQL(onCreateScripts[i]);\n }", "public static void createDatabase() throws ArcException {\n\t\tcreateDatabase(userWithRestrictedRights);\t\t\n\t}", "@Override\n\t\t\tpublic void onCreate(SQLiteDatabase db) {\n\t\t\t\tPOIUtil.tryToDelete(POIActivity.POIS_FILE);\n\t\t\t\t// Create tables\n\t\t\t\tdb.execSQL(\"CREATE TABLE \" + TABLE_NAME_MAPS + \" (id INTEGER PRIMARY KEY, name TEXT)\");\n\t\t\t\tdb.execSQL(\"CREATE TABLE \" + TABLE_NAME_GROUPS + \" (id INTEGER PRIMARY KEY, map_id INTEGER, name TEXT)\");\n\t\t\t\tdb.execSQL(\"CREATE TABLE \" + TABLE_NAME_POIS + \" (id INTEGER PRIMARY KEY, map_id INTEGER, group_id INTEGER, description TEXT, note TEXT, url TEXT, image TEXT, selected INTEGER)\");\n\t\t\t}", "@Override\n public void onCreate(@NonNull SupportSQLiteDatabase db) {\n super.onCreate(db);\n\n executors.getDiskIOExecutor().execute(new Runnable() {\n @Override\n public void run() {\n\n // Add a delay to simulate a long-running operation\n addDelay();\n\n AppDatabase appDatabase = AppDatabase.getInstance(appContext, executors);\n\n List<WeatherEntry> weathers = DataGenerator.generateWeathers();\n\n Log.d(TAG, \"Codelab AppDatabase insertAll - begin\");\n\n insertAll(appDatabase, weathers);\n\n // notify that the database was created and it's ready to be used\n appDatabase.setDatabaseCreated();\n }\n });\n }", "long createDatabase(long actor, String nameToDisplay, long proteinDBType, long sizeInBytes, boolean bPublic, boolean bReversed, ExperimentCategory category);", "@Override\n public void onCreate(SQLiteDatabase sqLiteDatabase) {\n String sql = \"drop table \" + MelodyData.CreateDB._TABLENAME;\n sqLiteDatabase.execSQL(AccompanimentData.CreateDB._CREATE);\n sqLiteDatabase.execSQL(MelodyData.CreateDB._CREATE);\n }", "@Override\n protected String doInBackground(Void... params) {\n copyDatabaseFromAsset();\n //insertValue();\n return \"\";\n }", "private DBManager() throws Exception {\n file = new File(\"pdfLibraryDB.mv.db\");\n if (!file.exists()) {\n conn = connect();\n stmt = conn.createStatement();\n query = \"CREATE TABLE user(username VARCHAR(30) PRIMARY KEY, password VARCHAR(32));\" +\n \"CREATE TABLE category(id VARCHAR(30) PRIMARY KEY, name VARCHAR(30), username VARCHAR(30), FOREIGN KEY(username) REFERENCES user(username) ON UPDATE CASCADE ON DELETE CASCADE);\"+\n \"CREATE TABLE favorite(id VARCHAR(30) PRIMARY KEY, path VARCHAR(500), keyword VARCHAR(200), searchType VARCHAR(10), category VARCHAR(30),username VARCHAR(30), FOREIGN KEY(username) REFERENCES user(username) ON UPDATE CASCADE ON DELETE CASCADE, FOREIGN KEY(category) REFERENCES category(id) ON UPDATE CASCADE ON DELETE CASCADE);\" +\n \"CREATE TABLE history(id VARCHAR(30) PRIMARY KEY, keyword VARCHAR(200), type VARCHAR(10), directory VARCHAR(500), username VARCHAR(30), FOREIGN KEY(username) REFERENCES user(username) ON UPDATE CASCADE ON DELETE CASCADE);\";\n stmt.executeUpdate(query);\n stmt.close();\n conn.close();\n System.out.println(\"DB created!\");\n }\n }", "public Database initDB() {\n Database db = new Database(\"dataBase.db\");\n\n// db.insertData(\"1 Dragos Dinescu [email protected] 0744522600 Digi 10-12-2020\");\n// db.insertData(\"2 Adelina Mirea [email protected] 0733651320 Orange 14-10-2020\");\n// db.insertData(\"3 Radu Sorostinean [email protected] 0733723321 Digi 1-10-2020\");\n// db.insertData(\"4 Andrei Brasoveanu [email protected] 0732341390 Vodafone 12-11-2020\");\n return db;\n\n //db.deleteFromDB();\n //db.updateDB(\"1 alex radu [email protected] 022256926 orange 10/08/2010\");\n }", "private void initialize() {\n if (databaseExists()) {\n SharedPreferences prefs = PreferenceManager\n .getDefaultSharedPreferences(mContext);\n int dbVersion = prefs.getInt(SP_KEY_DB_VER, 1);\n if (DATABASE_VERSION != dbVersion) {\n File dbFile = mContext.getDatabasePath(DBNAME);\n if (!dbFile.delete()) {\n Log.w(TAG, \"Unable to update database\");\n }\n }\n }\n if (!databaseExists()) {\n createDatabase();\n }\n }", "private void loadDatabase()\n\t{\n\t\ttry\n\t\t{\n\t\t\ttry\n\t\t\t{\n\t\t\t\t// Check to make sure the Bmod Database is there, if not, try \n\t\t\t\t// downloading from the website.\n\t\t\t\tif(!Files.exists(m_databaseFile))\n\t\t\t\t{\n\t\t\t\t\tFiles.createDirectories(m_databaseFile.getParent());\n\t\t\t\t\n\t\t\t\t\tbyte[] file = ExtensionPoints.readURLAsBytes(\"http://\" + Constants.API_HOST + HSQL_DATABASE_PATH);\n\t\t\t\t\tif(file.length != 0)\n\t\t\t\t\t{\n\t\t\t\t\t\tFiles.deleteIfExists(m_databaseFile);\n\t\t\t\t\t\tFiles.write(m_databaseFile, file, StandardOpenOption.CREATE, StandardOpenOption.WRITE);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\t// make sure we have the proper scriptformat.\n\t\t\t\tsetScriptFormatCorrectly();\n\t\t\t}catch(NullPointerException\|IOException ex)\n\t\t\t{\n\t\t\t\tm_logger.error(\"Could not fetch database from web.\", ex);\n\t\t\t}\n\t\t\t\n\t\n\t\t\t\n\t\t\tClass.forName(\"org.hsqldb.jdbcDriver\");\n\t\t\n\t\t\t\n\t\t\tString db = ExtensionPoints.getBmodDirectory(\"database\").toUri().getPath();\n\t\t\tconnection = DriverManager.getConnection(\"jdbc:hsqldb:file:\" + db, \"sa\", \"\");\n\t\t\t\n\t\t\t// Setup Connection\n\t\t\tCSVRecordLoader ldr = new CSVRecordLoader();\n\t\t\n\t\t\t// Load all of the building independent plugins\n\t\t\tfor(Record<?> cp : ldr.getRecordPluginManagers())\n\t\t\t{\n\t\t\t\tm_logger.debug(\"Creating table: \" + cp.getTableName());\n\t\t\t\t// Create a new table\n\t\t\t\ttry\n\t\t\t\t{\n\t\t\t\t\tgetPreparedStatement(cp.getSQLTableDefn()).execute();\n\t\t\t\t} catch(SQLException ex)\n\t\t\t\t{\n\t\t\t\t\t// Table exists\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\ttry\n\t\t\t\t{\n\t\t\t\t\tm_logger.debug(\"Doing index:\" + cp.getIndexDefn());\n\t\t\t\t\tif(cp.getIndexDefn() != null)\n\t\t\t\t\t\tgetPreparedStatement(cp.getIndexDefn()).execute();\n\t\t\t\t}catch(SQLException ex)\n\t\t\t\t{\t// index exists\n\t\t\t\t}\n\t\t\t\t\n\t\t\t}\n\t\t\t\n\n\t\t} catch (Exception ex)\n\t\t{\n\t\t\tex.printStackTrace();\n\t\t\tif(ex instanceof DatabaseIntegrityException)\n\t\t\t\tDatabase.handleCriticalError((DatabaseIntegrityException)ex);\n\t\t\telse\n\t\t\t\tDatabase.handleCriticalError(new DatabaseIntegrityException(ex));\n\t\t}\n\t\t\n\t}", "private void loadDatabase() {\n Runnable load = new Runnable() {\n public void run() {\n try {\n boolean isSuccess = false;\n File data = Environment.getDataDirectory();\n\n String currentDbPath = \"//data//com.udacity.adcs.app.goodintents//databases//goodintents.db\";\n\n File currentDb = new File(data, currentDbPath);\n File restoreDb = getFileFromAsset(mActivity, mActivity.getExternalFilesDir(null) + \"/\", \"goodintents.db\");\n\n if (restoreDb != null ? restoreDb.exists() : false) {\n FileInputStream is = new FileInputStream(restoreDb);\n FileOutputStream os = new FileOutputStream(currentDb);\n\n FileChannel src = is.getChannel();\n FileChannel dst = os.getChannel();\n dst.transferFrom(src, 0, src.size());\n\n is.close();\n os.close();\n src.close();\n dst.close();\n isSuccess = true;\n }\n\n if (isSuccess) {\n PreferencesUtils.setBoolean(mActivity, R.string.initial_db_load_key, true);\n }\n } catch (Exception ex) {\n ex.printStackTrace();\n } finally {\n mActivity.runOnUiThread(loadDatabaseRunnable);\n }\n }\n };\n\n Thread thread = new Thread(null, load, \"loadDatabase\");\n thread.start();\n }", "public void createNewDatabase(String dbName) {\r\n\t\t// connects to given database - relative path points to inside project folder\r\n\t\ttry {\r\n\t\t\tConnection conn = this.connect(dbName);\t\t\t\t\t\t// open connection\r\n\t\t\tif (conn != null) {\r\n\t\t\t\tDatabaseMetaData meta = conn.getMetaData();\r\n\t\t\t\tSystem.out.println(\"The driver name is \" + meta.getDriverName());\r\n\t\t\t\tSystem.out.println(\"A new database has been created.\");\r\n\t\t\t}\r\n\t\t\tconn.close(); \t\t\t\t\t\t\t\t\t\t\t\t// close connection\r\n\t\t} catch (SQLException e) {\r\n\t\t\tSystem.out.println(e.getMessage());\r\n\t\t}\r\n\t}", "@Override\n\t\tpublic void onCreate(SQLiteDatabase database) {\n\t\t\tcreateTable(database);\n\n\t\t}", "public static void createNewDatabase(String fileName) {\n\n String url = \"jdbc:sqlite:C:/sqlite/db/\" + fileName;\n\n try (Connection conn = DriverManager.getConnection(url)) {\n if (conn != null) {\n DatabaseMetaData meta = conn.getMetaData();\n System.out.println(\"The driver name is \" + meta.getDriverName());\n System.out.println(\"A new database has been created.\");\n }\n\n } catch (SQLException e) {\n System.out.println(e.getMessage());\n }\n }", "@Override\n public void onCreate(SQLiteDatabase _db) {\n _db.execSQL(DATABASE_CREATE);\n }", "protected abstract void createDatabaseData(EntityManager entityManager);" ]	[ "0.8398912", "0.8361789", "0.77305526", "0.76107764", "0.7532337", "0.75109565", "0.750933", "0.75086313", "0.74890584", "0.74890584", "0.74863356", "0.74829704", "0.74793595", "0.74447906", "0.743005", "0.743005", "0.74152213", "0.7407575", "0.7374789", "0.7338423", "0.7299988", "0.72915274", "0.72283226", "0.7227496", "0.71614516", "0.70781803", "0.70781803", "0.70610356", "0.69652236", "0.6962395", "0.6884049", "0.68569875", "0.6802358", "0.6739169", "0.6683049", "0.66722304", "0.6593347", "0.6509191", "0.6445651", "0.6376912", "0.63709456", "0.6338419", "0.627877", "0.6254032", "0.6249714", "0.62402135", "0.6199591", "0.617203", "0.6117405", "0.60896784", "0.6086575", "0.6070617", "0.6068172", "0.60521406", "0.6040941", "0.60284716", "0.60195893", "0.60187083", "0.60170585", "0.5967487", "0.5957733", "0.5952429", "0.5951796", "0.5950295", "0.59156173", "0.5911635", "0.59046614", "0.58959323", "0.58881336", "0.5879312", "0.5868496", "0.584082", "0.5814607", "0.581455", "0.5805999", "0.5801167", "0.57764626", "0.57671916", "0.5761926", "0.5758874", "0.5756877", "0.5741391", "0.5736202", "0.57134265", "0.5687359", "0.5683465", "0.5673345", "0.56567764", "0.56506646", "0.5647649", "0.56410456", "0.5631601", "0.56178004", "0.5612174", "0.5608767", "0.5606731", "0.5557987", "0.555145", "0.5529828", "0.5527305" ]	0.76489204	3
Get the Size Types	public synchronized List<WebElement> list_SizeType() throws Exception { if (Utils.device.equals("mobile")) return utils.findElementsByLocator(driver, "PDP_Lnk_MB_SizeType_Options", "\|PDP: Size Types not present"); else return utils.findElementsByLocator(driver, "PDP_Lnk_SizeType", "\|PDP: Size Types not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public int getSizeType() {\n\t\treturn sizeType;\n\t}", "public static int size_infos_type() {\n return (16 / 8);\n }", "public int size(){\n\t\treturn types.size();\n\t}", "private static int getSize(int type) {\n switch (type) {\n case 0:\n return 65535;\n case 1:\n return 78513;\n case 2:\n return 101597;//getModelCount();\n case 3:\n return 3696;\n case 4:\n return 4193;\n case 5:\n return 6827;\n case 6:\n return 8487;\n case 7:\n return 645;//midiIndices.length;\n /case 8:\n return 0;//getAnimCount();\n case 9:\n return 0;//getMapAmount();\n case 10:\n return 34026;\n case 11:\n return 3159;\n case 12:\n return 1956;/\n }\n return 0;\n }", "UsedTypes getTypes();", "@Override\r\n\tpublic Vector<Integer> getTypes() {\n\t\treturn this.types;\r\n\t}", "public int[] getTypes(){\n int[] types={TYPE_STRING,TYPE_STRING,TYPE_STRING,TYPE_INT};\n return types;\n }", "Dimension[] getSizes();", "public int getType1Size(){\n\t\treturn type1Size;\n\t}", "public String[] getTypes() {\n/* 388 / return getStringArray(\"type\");\n/ / }", "public int getSize() {\n\t\tif (type == Attribute.Type.Int) {\r\n\t\t\treturn INT_SIZE;\r\n\t\t} else if (type == Attribute.Type.Char) {\r\n\t\t\treturn CHAR_SIZE length;\r\n\t\t} else if (type == Attribute.Type.Long) {\r\n\t\t\treturn LONG_SIZE;\r\n\t\t} else if (type == Attribute.Type.Float) {\r\n\t\t\treturn FLOAT_SIZE;\r\n\t\t} else if (type == Attribute.Type.Double) {\r\n\t\t\treturn DOUBLE_SIZE;\r\n\t\t} else if (type == Attribute.Type.DateTime){\r\n\t\t\treturn LONG_SIZE;\r\n\t\t}\r\n\t\t\r\n\t\treturn size;\r\n\t}", "public static int sizeBits_infos_type() {\n return 16;\n }", "private int getSize(Type type) {\n\t\tint size;\n\t\tif (type.isList()) {\n\t\t\tsize = getSize(((TypeList) type).getInnermostType());\n\t\t\tfor (int dim : type.getDimensions()) {\n\t\t\t\tsize = dim;\n\t\t\t}\n\t\t} else if (type.isBool()) {\n\t\t\tsize = 8;\n\t\t} else {\n\t\t\tsize = type.getSizeInBits();\n\t\t}\n\t\treturn size;\n\t}", "public static int size_dataType() {\n return (8 / 8);\n }", "public int getTypeElementCount() {\n\t\t\treturn this.TypeElements.size();\n\t\t}", "public static int numTypes(){\n byte[] types = genAllTypes();\n return types.length;\n }", "public ResultFormat[] getTypes() {\n\n if (types == null) {\n types = loadFormats();\n }\n return types.clone();\n }", "public long getSize()\n {\n return getLong(\"Size\");\n }", "public Type[] types();", "public int[] getSizes() {\n\t\treturn new int[] { quoteMap.size(), bookMap.size(), _cumulativeVolumeTable.size() };\n\t}", "public static int size_amtype() {\n return (8 / 8);\n }", "public native JsArrayString getTypes()/-{\n\t\tvar jso = [email protected]::getJsObj()();\n\t\treturn jso.types;\n }-/;", "public List<SecTyp> getAllTypes();", "@GET\n\t@Path(\"types\")\n public Response getDeviceTypes() {\n List<DeviceType> deviceTypes;\n try {\n deviceTypes = DeviceMgtAPIUtils.getDeviceManagementService().getAvailableDeviceTypes();\n return Response.status(Response.Status.OK).entity(deviceTypes).build();\n } catch (DeviceManagementException e) {\n String msg = \"Error occurred while fetching the list of device types.\";\n log.error(msg, e);\n return Response.status(Response.Status.INTERNAL_SERVER_ERROR).entity(msg).build();\n }\n }", "public String[] getTypes() {\n return impl.getTypes();\n }", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "public java.util.List<String> getInstanceTypes() {\n if (instanceTypes == null) {\n instanceTypes = new com.amazonaws.internal.SdkInternalList<String>();\n }\n return instanceTypes;\n }", "public List<TypeInfo> getTypes() {\r\n return types;\r\n }", "public List<__Type> getTypes() {\n return (List<__Type>) get(\"types\");\n }", "String [] getSupportedTypes();", "String getSType();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public String[] getMimeTypes() {\n/ 187 / Set types = new HashSet(this.type_hash.keySet());\n/ 188 / types.addAll(this.fallback_hash.keySet());\n/ 189 / types.addAll(this.native_commands.keySet());\n/ 190 / String[] mts = new String[types.size()];\n/ 191 / mts = (String[])types.toArray((Object[])mts);\n/ 192 / return mts;\n/ */ }", "long getSize();", "@JsonIgnore public Collection<String> getServingSizes() {\n final Object current = myData.get(\"servingSize\");\n if (current == null) return Collections.emptyList();\n if (current instanceof Collection) {\n return (Collection<String>) current;\n }\n return Arrays.asList((String) current);\n }", "public String getSize() { \r\n return SIZE[size]; }", "double getSize();", "public int typeSize() {\n if (isUnknown() \|\| isPolymorphic())\n return 0;\n int c = 0;\n if (!isNotBool())\n c++;\n if (!isNotStr())\n c++;\n if (!isNotNum())\n c++;\n if (object_labels != null) {\n boolean is_function = false;\n boolean is_array = false;\n boolean is_native = false;\n boolean is_dom = false;\n boolean is_other = false;\n for (ObjectLabel objlabel : object_labels) {\n if (objlabel.getKind() == Kind.FUNCTION)\n is_function = true;\n else if (objlabel.getKind() == Kind.ARRAY)\n is_array = true;\n else if (objlabel.isHostObject()) {\n switch (objlabel.getHostObject().getAPI().getShortName()) {\n case \"native\":\n is_native = true;\n break;\n case \"dom\":\n is_dom = true;\n break;\n default:\n is_other = true;\n }\n } else\n is_other = true;\n }\n if (is_function)\n c++;\n if (is_array)\n c++;\n if (is_native)\n c++;\n if (is_dom)\n c++;\n if (is_other)\n c++;\n }\n if (getters != null)\n c++;\n if (setters != null)\n c++;\n if (c == 0 && (isMaybeNull() \|\| isMaybeUndef())) {\n c = 1;\n }\n return c;\n }", "private static void calculateSizes() {\n for(EmailTypes type : EmailTypes.values()){\n File f = unpackedFiles.get(type);\n setSizes.put(type, Objects.requireNonNull(f.listFiles()).length);\n }\n }", "public List<CWLType> getTypes() {\n return types;\n }", "private synchronized static TreeMap<Integer, AbstractFloatDataType> getFloatTypes() {\n\t\tif (floatTypes == null) {\n\t\t\t// unsupported sizes filled-in with a null\n\t\t\tfloatTypes = new TreeMap<Integer, AbstractFloatDataType>();\n\t\t\tfloatTypes.put(2, Float2DataType.dataType);\n\t\t\tfloatTypes.put(4, Float4DataType.dataType);\n\t\t\tfloatTypes.put(8, Float8DataType.dataType);\n\t\t\tfloatTypes.put(10, Float10DataType.dataType);\n\t\t\tfloatTypes.put(16, Float16DataType.dataType);\n\t\t}\n\t\treturn floatTypes;\n\t}", "public long getSize();", "ImageType getType();", "public Set<MediaType> getSupportedMediaTypes();", "public List<TypeMetadata> getTypeMetadata() {\n return types;\n }", "public byte getSType() {\r\n return _sType;\r\n }", "public List getTypeSpecifiers() {\n return member.getTypeSpecifiers();\n }", "public NodeSize getNodeSize() {\n String str = findSelected(node_sizes);\n if (str.equals(NODE_SZ_INVISIBLE)) { return NodeSize.INVISIBLE;\n } else if (str.equals(NODE_SZ_SMALL)) { return NodeSize.SMALL;\n } else if (str.equals(NODE_SZ_LARGE)) { return NodeSize.LARGE;\n } else if (str.equals(NODE_SZ_VARY)) { return NodeSize.VARY; \n } else if (str.equals(NODE_SZ_VARY_LOG)) { return NodeSize.VARY_LOG;\n } else if (str.equals(NODE_SZ_TYPE)) { return NodeSize.TYPE;\n } else if (str.equals(NODE_SZ_GRAPHINFO)) { return NodeSize.GRAPHINFO;\n } else if (str.equals(NODE_SZ_CLUSTERCO)) { return NodeSize.CLUSTERCO;\n } else if (str.equals(NODE_SZ_LABEL)) { return NodeSize.LABEL;\n } else return NodeSize.LARGE;\n }", "int getSize ();", "public int getTypeWithElementsCount() {\n\t\t\treturn this.TypeWithElements.size();\n\t\t}", "public int getSize() {\r\n return size;\r\n }", "public int getSize() { return size; }", "public static Set<String> getMetricDataTypes() throws SQLException \n\t{\n\t\tSet<String> dataTypes = new HashSet<String>();\n\t\t\n\t\tConnection conn = DBConnector.getInstance().getConn();\n\t\t\n\t\tString sql = \"SELECT \\\"DataType\\\" FROM mhtc_sch.metrics\";\n\t\tPreparedStatement pstatement = conn.prepareStatement(sql);\n\t\tResultSet rs = pstatement.executeQuery();\n\n\t\twhile (rs.next()) {\n\t\t\tdataTypes.add(rs.getString(\"DataType\"));\n\t\t}\n\t\t\n\t\treturn dataTypes;\n\t}", "public double getSize()\n\t{\n\t\treturn size;\n\t}", "public int getSize() {return size;}", "int getType();", "int getType();", "int getType();", "int getType();", "int getType();", "int getType();", "int getType();", "int getType();", "public int getWidth() {\n return type.getWidth();\n }", "static String[] getAllTypeNames()\n\t{\n\t\treturn new String[] {\"String\", \"int\", \"double\", \"long\", \"boolean\", \"String[]\", \"int[]\", \"double[]\", \"long[]\"};\n\t}", "public int getSize(){\n\t\treturn size;\n\t}", "public int getSize(){\n\t\treturn size;\n\t}", "public int getSize(){\n\t\treturn size;\n\t}", "public int getSize(){\n\t\treturn size;\n\t}", "private int getSize() {\n\t\t\treturn size;\n\t\t}", "com.google.protobuf.ByteString\n getSTypeBytes();", "@Override\n\tpublic int getSize() {\n\t\treturn size;\n\t}", "@Override\n\tpublic int getSize() {\n\t\treturn size;\n\t}", "public static int sizeBits_dataType() {\n return 8;\n }", "public double getSize() \n {\n return size;\n }", "public Map<String, SkylarkModuleDoc> getTypes() {\n return types;\n }", "Dimension getSize();", "Dimension getSize();", "protected int[] getSysMetaAttrTypes() {\n int[] types = new int[] { \n java.sql.Types.LONGVARCHAR, //text \n \t\tjava.sql.Types.VARCHAR, //character varying(256) \n java.sql.Types.TIMESTAMP, //timestamp without time zone\n java.sql.Types.VARCHAR, //character varying(250) \n java.sql.Types.VARCHAR, //character varying(512) \n java.sql.Types.VARCHAR, //character varying(250) \n java.sql.Types.VARCHAR, //character varying(250) \n java.sql.Types.VARCHAR, //character varying(250) \n java.sql.Types.TIMESTAMP, //timestamp without time zone\n java.sql.Types.VARCHAR, //character varying(256) \n java.sql.Types.VARCHAR, //character varying(256) \n java.sql.Types.VARCHAR, //character varying(256) \n java.sql.Types.BOOLEAN, //boolean \n java.sql.Types.BOOLEAN, //boolean \n java.sql.Types.BIGINT, //bigint \n java.sql.Types.LONGVARCHAR, //text \n java.sql.Types.LONGVARCHAR, //text \n java.sql.Types.LONGVARCHAR, //text \n\n };\n return types;\n }" ]	[ "0.7030475", "0.6821259", "0.67935765", "0.65809363", "0.6381919", "0.6302282", "0.62556976", "0.6218778", "0.62177783", "0.6107319", "0.60393083", "0.60321283", "0.6021743", "0.60064846", "0.5993144", "0.5988801", "0.59454334", "0.5940302", "0.59244275", "0.5922653", "0.58947635", "0.58871025", "0.5884801", "0.5866388", "0.5849801", "0.5833133", "0.5833133", "0.5833133", "0.5833133", "0.5833133", "0.5833133", "0.5833133", "0.5833133", "0.5833133", "0.5833133", "0.5833133", "0.5833133", "0.5833133", "0.581078", "0.58103323", "0.58004415", "0.5788315", "0.5784635", "0.57780457", "0.57780457", "0.57780457", "0.57780457", "0.57780457", "0.57780457", "0.57780457", "0.57780457", "0.57780457", "0.57780457", "0.57779163", "0.576544", "0.5742432", "0.5741051", "0.5737942", "0.57323396", "0.5729404", "0.5710374", "0.57033837", "0.57026684", "0.56979585", "0.5659746", "0.56507486", "0.56343275", "0.5623676", "0.5609518", "0.56086063", "0.5580461", "0.5578213", "0.55733764", "0.55638963", "0.5558871", "0.5550001", "0.5549874", "0.5549874", "0.5549874", "0.5549874", "0.5549874", "0.5549874", "0.5549874", "0.5549874", "0.5538096", "0.5528896", "0.55257034", "0.55257034", "0.55257034", "0.55257034", "0.55250037", "0.5524672", "0.551988", "0.551988", "0.5516109", "0.55156356", "0.5514548", "0.5507259", "0.5507259", "0.55037457" ]	0.6848297	1
Get the Color Swatch	public synchronized List<WebElement> list_ColorSwatch() throws Exception { if (Utils.isDeviceMobile() && Utils.isBrandFullPrice()) return utils.findElementsByLocator(driver, "MBL_PDP_Lnk_ColorSwatch", "\| PDP: Color swatch Not Displayed On PDP"); return utils.findElementsByLocator(driver, "PDP_Lnk_ColorSwatch", "\| PDP: Color swatch Not Displayed On PDP"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public Color getColor() { return color.get(); }", "public GameColor getColor();", "public Color getCurrentColor();", "java.awt.Color getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "public Color getColor();", "public Color getColor();", "public Color getColor();", "public synchronized Color scan(){\n \tcolorRGBSensor.fetchSample(sample, 0);\n color.setR(sample[0]1024);\n color.setG(sample[1]1024);\n color.setB(sample[2]1024);\n return color;\n }", "public Color getColor() { return color; }", "public Color getColor() {\r\n\t\treturn new Color(Color.HSBtoRGB(hsb[0], hsb[1], hsb[2]));\r\n\t}", "public RGBColor getColor(){\r\n return this._color;\r\n }", "public void getColor() {\n\t\tPoint point = MouseInfo.getPointerInfo().getLocation();\n\t\trobot.mouseMove(point.x, point.y);\n\t\tColor color = robot.getPixelColor(point.x, point.y);\n//\t\tSystem.out.println(color);\n\t}", "public Color getColor() {\n return color;\r\n }", "public Color getColor()\n {\n return color;\n }", "public Color getColor()\r\n {\r\n return currentColor;\r\n }", "public Color getColor()\n {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "protected Color getUptimeColor() {\n\t\tfinal long uptime = System.currentTimeMillis()\n\t\t\t\t- Activator.getDefault().getStartTime();\n\t\tif (uptime < 7200000)\n\t\t\treturn display.getSystemColor(SWT.COLOR_DARK_GREEN);\n\t\telse if (uptime < 14400000)\n\t\t\treturn display.getSystemColor(SWT.COLOR_BLUE);\n\t\telse\n\t\t\treturn display.getSystemColor(SWT.COLOR_RED);\n\t}", "public Color getDevColor() {\r\n\t\t// System.out.println(\"Getting \" + n);\r\n\t\treturn (value.getDevColor());\r\n\t}", "public Color getColor() {\r\n return color;\r\n }", "public Color getColor() {\r\n return color;\r\n }", "public Color getColor() {\r\n return color;\r\n }", "public Color getColor()\n { \n return color;\n }", "public Color getColor() \n\t{\n\t\treturn color;\n\t}", "public Color getColor() {\n return color;\n }", "public int getColor(){\r\n\t\treturn color;\r\n\t}", "public Color getColor() {\n\treturn color;\n }", "public Color getColor() {\n \t\treturn color;\n \t}", "public java.awt.Color getColor() {\r\n return color;\r\n }", "public String getColor()\n {\n return color;\n }", "public String getColor()\n {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "public int getColor();", "public int getColor();", "public int getColor(){\n\t\treturn color;\n\t}", "public int getColor(){\n\t\treturn color;\n\t}", "public static Color getColor() {\n return myColor;\n }", "public Color getColor() {\r\n return currentColor;\r\n }", "public Color getColor(){\n return color;\n }", "public int getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public String getColor() {\r\n return color;\r\n }", "public String getColor(){\n return this._color;\n }", "public String getColor() { \n return color; \n }", "String getColor();", "public int getColor() {\n \t\treturn color;\n \t}", "public String getColor(){\r\n return color;\r\n }", "public RMColor getColor()\n {\n return getStyle().getColor();\n }", "public Color getColorObject() {\n switch (this) {\n case WHITE:\n return new Color(255,255,255);\n case BLACK:\n return new Color(0,0,0);\n case RED:\n return new Color(255,0,0);\n case GREEN:\n return new Color(0,255,0);\n case BLUE:\n return new Color(0,0,255);\n default:\n return null;\n }\n\n }", "public String getColor(){\n\t\treturn color;\n\t}", "public Color getColor() {\r\n\t\treturn color;\r\n\t}", "public Color getColor() {\r\n\t\treturn color;\r\n\t}", "public Color getColor() {\r\n return this.color;\r\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public final Color getColor() {\n return color;\n }", "public short getColor() {\n\t\treturn this.color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public String getColor()\n {\n return this.color;\n }", "public Color getColor() {\n return this.color;\n }", "public final Color getColor() {\r\n return color;\r\n }", "public CMYKColors getColor() {\n return this.color;\n }", "public Color getColor() {\n return this.color;\n }", "public Color readColor() {\n return colorSensor.getColor();\n }", "public Integer getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n return this.color;\n }", "public Color getColor() {\n return this.color;\n }", "public Color getColor() {\n return this.color;\n }", "public java.awt.Color getColor() {\r\n return this.color;\r\n }", "public String getColor() {\r\n\t\treturn color;\r\n\t}", "public java.awt.Color getColor() {\n return this.color;\n }", "public java.awt.Color getColor() {\n return this.color;\n }", "public int getColor() {\r\n return Color;\r\n }", "@ColorInt\n public int getColor() {\n return Color.HSVToColor(mColorHSV);\n }", "public String getColor() {\n return this.color;\n }", "public int getColor() {\n return this.color;\n }", "public Color update() {\n /\n * The method GetColor() returns a normalized color value from the sensor and\n * can be Useful if outputting the color to use an RGB LED or similar. To read\n * the raw color, or use GetRawColor().\n \n The color sensor works best when within a few inches from an object in well\n * lit conditions (the built in LED is a big help here!). The farther an object\n * is the more light from the surroundings will bleed into the measurements and\n * make it difficult to accurately determine its color.\n /\n edu.wpi.first.wpilibj.util.Color detectedColor = m_ColorSensor.getColor();\n /\n * Run the color match algorithm on our detected color\n /\n String colorString;\n ColorMatchResult match = m_colorMatcher.matchClosestColor(detectedColor);\n\n if (match.color == kBlueTarget) {\n colorString = \"Blue\";\n mCurrentColor = Color.blue;\n } else if (match.color == kRedTarget) {\n colorString = \"Red\";\n mCurrentColor = Color.red;\n } else if (match.color == kGreenTarget) {\n colorString = \"Green\";\n mCurrentColor = Color.green;\n } else if (match.color == kYellowTarget) {\n colorString = \"Yellow\";\n mCurrentColor = Color.yellow;\n } else {\n colorString = \"Unknown\";\n mCurrentColor = Color.unknown;\n }\n /\n Open Smart Dashboard or Shuffleboard to see the color detected by the Sensor.\n */\n SmartDashboard.putNumber(\"Red\", detectedColor.red);\n SmartDashboard.putNumber(\"Green\", detectedColor.green);\n SmartDashboard.putNumber(\"Blue\", detectedColor.blue);\n SmartDashboard.putNumber(\"Confidence\", match.confidence);\n SmartDashboard.putString(\"Detected Color\", colorString);\n return mCurrentColor;\n }", "public String getColor() {\n\t\treturn color;\n\t}", "public String getColor() {\n\t\treturn color;\n\t}", "public final Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn _color;\n\t}" ]	[ "0.66807336", "0.6568094", "0.65524036", "0.6534112", "0.6464812", "0.6464812", "0.6464812", "0.6464812", "0.6464812", "0.64524215", "0.64524215", "0.64524215", "0.64351463", "0.6433794", "0.64050186", "0.6393199", "0.6392659", "0.6387995", "0.6387257", "0.63647616", "0.634", "0.634", "0.634", "0.6335054", "0.6322478", "0.6314019", "0.6314019", "0.6314019", "0.6299885", "0.6297017", "0.6295596", "0.6283987", "0.6282133", "0.6274759", "0.6265659", "0.62649804", "0.62649804", "0.6262588", "0.626104", "0.626104", "0.62604994", "0.62604994", "0.62497646", "0.6248228", "0.62458426", "0.62451947", "0.624229", "0.624229", "0.624229", "0.624229", "0.624229", "0.624229", "0.62250894", "0.62137467", "0.6207241", "0.62069696", "0.6204799", "0.6204624", "0.619575", "0.6193224", "0.6191833", "0.61864716", "0.61864716", "0.6178262", "0.61719924", "0.61719924", "0.61719924", "0.61719924", "0.61719924", "0.61719924", "0.61719924", "0.61719924", "0.6163718", "0.61583173", "0.6140821", "0.6140821", "0.6140821", "0.6140821", "0.61386544", "0.6135264", "0.6134762", "0.6130002", "0.6127517", "0.61198604", "0.6117628", "0.6114435", "0.6114435", "0.6114435", "0.61106193", "0.6105854", "0.6102332", "0.6102332", "0.610221", "0.6101772", "0.6089184", "0.608498", "0.6081076", "0.6080525", "0.6080525", "0.6072524", "0.6071525" ]	0.0	-1
Get the Color Swatch Default color 1st color in swatch	public synchronized List<WebElement> list_ColorSwatch_DefaultColor() throws Exception { return utils.findElementsByLocator(driver, "PDP_Lnk_ColorSwatchDefault", "\| PDP: Color swatch Not Displayed On PDP"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public float[] getDefaultColor() {\n \treturn defaultColor;\n }", "public Color getDefaultColor() {\n return defaultColor;\n }", "private int getCurrentMainColor () {\n int translatedHue = 255 - ( int ) ( mCurrentHue * 255 / 360 );\n int index = 0;\n for ( float i = 0; i < 256; i += 256 / 42 ) {\n if ( index == translatedHue )\n return Color.rgb( 255, 0, ( int ) i );\n index++;\n }\n for ( float i = 0; i < 256; i += 256 / 42 ) {\n if ( index == translatedHue )\n return Color.rgb( 255 - ( int ) i, 0, 255 );\n index++;\n }\n for ( float i = 0; i < 256; i += 256 / 42 ) {\n if ( index == translatedHue )\n return Color.rgb( 0, ( int ) i, 255 );\n index++;\n }\n for ( float i = 0; i < 256; i += 256 / 42 ) {\n if ( index == translatedHue )\n return Color.rgb( 0, 255, 255 - ( int ) i );\n index++;\n }\n for ( float i = 0; i < 256; i += 256 / 42 ) {\n if ( index == translatedHue )\n return Color.rgb( ( int ) i, 255, 0 );\n index++;\n }\n for ( float i = 0; i < 256; i += 256 / 42 ) {\n if ( index == translatedHue )\n return Color.rgb( 255, 255 - ( int ) i, 0 );\n index++;\n }\n return Color.RED;\n }", "public Color getCurrentColor();", "private String getNextColor(){\n\t\tif(currentIndex < MAX_COLORS){\n\t\t\tcurrentIndex++;\n\t\t\treturn colors[currentIndex - 1];\n\t\t}\n\t\treturn null;\n\t}", "public static SbColor getDefaultDiffuse()\n\t\t {return new SbColor(0.8f, 0.8f, 0.8f);}", "public Color getDefaultColor(JButton button){\n Pair<Integer,Integer> coord = getJButtonCoord(button);\n int row = coord.getKey();\n int col = coord.getValue();\n if ((row + col ) %2 == 0){\n return Color.white;\n }else\n return Color.gray;\n }", "String getColor();", "private Color generateColor() {\r\n\t\tint length = nameColor.size();\r\n\t\tif(length == 0) return colorArray[0];\r\n\t\t\r\n\t\tColor lastColor = nameColor.get(length-1);\r\n\t\tint lastColorIndex = 0;\r\n\t\tfor(int i = 0; i<colorArray.length; i++) {\r\n\t\t\tif(lastColor == colorArray[i]) {\r\n\t\t\t\tlastColorIndex = i;\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\t\tColor curColor = colorArray[(lastColorIndex+1)%3];\r\n\t\treturn curColor;\r\n\t}", "default Color getColor() {\r\n\t\treturn Color.RED;\r\n\t}", "public int getRenderColor(int p_149741_1_)\n {\n \n \tBlock[] coloredStones = MachineryCraft.blocks.coloredStoneSlab;\n \n \tfor(int i = 0; i<coloredStones.length; i++){\n \t\tif(this == coloredStones[i]) return this.colors[i];\n \t\t\n \t}\n \treturn colors[1];\n \n }", "public int getColor();", "public int getColor();", "public String getColorAsString() {\n\t\treturn getValue(CommonProperty.COLOR, AbstractLabels.DEFAULT_COLOR);\n\t}", "public String getColor() {\n\t\treturn null;\n\t}", "protected Color preferredColor()\r\n {\r\n if (isMoving())\r\n return Color.green;\r\n else\r\n return new Color(0, 100, 0);\r\n }", "private ElementColor selectColor() {\n\n\t\treturn Theme.defaultColor(); \n\t}", "public int getColor(){\r\n\t\treturn color;\r\n\t}", "java.awt.Color getColor();", "public GameColor getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "public int getColorValue() {\r\n\t\treturn color;\r\n\t}", "public Color getColorObject() {\n switch (this) {\n case WHITE:\n return new Color(255,255,255);\n case BLACK:\n return new Color(0,0,0);\n case RED:\n return new Color(255,0,0);\n case GREEN:\n return new Color(0,255,0);\n case BLUE:\n return new Color(0,0,255);\n default:\n return null;\n }\n\n }", "public int getColor() {\n \t\treturn color;\n \t}", "public int getColor(){\n\t\treturn color;\n\t}", "public int getColor(){\n\t\treturn color;\n\t}", "public short getColor()\n {\n return font.getColorPaletteIndex();\n }", "public int getColor() {\n return color;\n }", "public RMColor getColor() { return getFill()==null? RMColor.black : getFill().getColor(); }", "int getHighLightColor();", "public Color getDevColor() {\r\n\t\t// System.out.println(\"Getting \" + n);\r\n\t\treturn (value.getDevColor());\r\n\t}", "public Integer getColor() {\n\t\treturn color;\n\t}", "public Color getDefaultBackgroudColor() {\n return DEFAULT_BACKGROUND_COLOR;\n }", "public char getSeekerColor() {\n return getCharProperty(\"RequestedColor\");\n }", "public String getColor()\n {\n return color;\n }", "public String getColor()\n {\n return color;\n }", "public Integer getCurrentColor() {\n for (int i = 0; i < colorPickers.size(); i++) {\n if (colorPickers.get(i).isSelected()) {\n return colorPickers.get(i).getColor();\n }\n }\n return null;\n }", "Color userColorChoose();", "public Color getDefaultGridColor() {\n return DEFAULT_GRID_COLOR;\n }", "@NoProxy\n @NoWrap\n @NoDump\n public String getColor() {\n return color;\n }", "public Color getColor() {\r\n return Color.GRAY;\r\n }", "public String getColourMin()\n {\n return colourMin;\n }", "private static String getColorString(int index) {\n switch (index) {\n case 0: return \"None\";\n case 1: case 6: return \"Orange\";\n case 2: case 7: return \"Green\";\n case 3: return \"Blue\";\n case 4: case 14: return \"Yellow\";\n case 8: return \"Black\";\n default: return \"not a color\";\n }\n }", "public Color getColor();", "public Color getColor();", "public Color getColor();", "public Color recupColor(int nb){\r\n\t\tColor color;\r\n\t\tif(nb == 1){\r\n\t\t\tcolor = Config.colorJ1;\r\n\t\t}\r\n\t\telse if(nb == 2){\r\n\t\t\tcolor = Config.colorJ2;\r\n\t\t}\r\n\t\telse{\r\n\t\t\tcolor =\tConfig.colorVide;\r\n\t\t}\r\n\t\treturn color;\r\n\t}", "public int color() {\n\t\treturn color;\n\t}", "public Color getColor() {\n switch(this.value) {\n case 2: return new Color(0xEEE4DA);\n case 4: return new Color(0xEDE0C8);\n case 8: return new Color(0xF2B179);\n case 16: return new Color(0xF59563);\n case 32: return new Color(0xF67C5F);\n case 64: return new Color(0xF65E3B);\n case 128: return new Color(0xEDCF72);\n case 256: return new Color(0xEDCC61);\n case 512: return new Color(0xEDC850);\n case 1024: return new Color(0xEDC53F);\n case 2048: return new Color(0xEDC22E);\n \n }\n // Default color for null tiles\n return new Color(0xCDC1B4);\n }", "@Override\r\n\tpublic String getColor() {\n\t\treturn \"white\";\r\n\t}", "public String getColor() {\r\n return color;\r\n }", "public String getColor() { \n return color; \n }", "public String getColorString();", "public int getColorIndex() {\n return colorIndex;\n }", "public synchronized Color getCurrentColor() {\n Color c0 = initialColor.cpy().mul(\n 1.0f - colorStateTime / COLOR_ANIMATION_DURATION);\n Color c1 = targetColor.cpy().mul(\n colorStateTime / COLOR_ANIMATION_DURATION);\n return c0.add(c1);\n }", "public Color color() {\n return null;\n }", "@Override\n public String getColor() {\n return this.color.name();\n }", "public Color color() {\n r = 34;\n g = 0;\n b = 231;\n return color(r, g, b);\n }", "public Color getColor()\r\n {\r\n return currentColor;\r\n }", "public int getColor() {\r\n return Color;\r\n }", "public String getColor(){\n\t\treturn color;\n\t}", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor(){\r\n return color;\r\n }", "RGB getOldColor();", "public String getColorFromAsString() {\n\t\treturn getValue(Property.COLOR_FROM, SankeyDataset.DEFAULT_COLOR_FROM);\n\t}", "public String getColor() {\r\n\t\treturn color;\r\n\t}", "public static Color getColorSuccess() {\n return Color.white;\n }", "public Color getExperimentColor(int col);", "RGB getNewColor();", "public void chooseColor() {\r\n\t\t// TODO Auto-generated method stub\r\n\t\t\r\n\t}", "public Color getColor() {\r\n\t\treturn new Color(Color.HSBtoRGB(hsb[0], hsb[1], hsb[2]));\r\n\t}", "public int getColorInt () {\r\n return this.colorReturned;\r\n }", "public String dame_color() {\n\t\treturn color;\n\t}", "public String getColor1P() {\n\t\treturn color1P;\n\t}", "int getColour();", "public String getColor() {\n\t\treturn color;\n\t}", "public String getColor() {\n\t\treturn color;\n\t}", "String getColour();", "public Color getColor() { return color.get(); }", "public Color getColor() {\r\n return currentColor;\r\n }", "public static Style getDefault() { return Style.SHAPE; }", "@Override\n\tpublic String getColor() {\n\t\treturn \"blue\";\n\t}", "public int getPrimaryColor(int i) {\n return primary[i];\n }", "public Color getColor() {\n\t\treturn Color.GRAY;\n\t}", "Integer getTxtColor();", "public String getColor() {\n return colorID;\n }", "public short getColor() {\n\t\treturn this.color;\n\t}", "@Override\n Color getColor() {\n return new Color(32, 83, 226, 255);\n }", "@Override\n\t\tpublic Color color() { return color; }" ]	[ "0.69348407", "0.689892", "0.67238086", "0.6600695", "0.6557747", "0.64968807", "0.63963765", "0.63657945", "0.63391477", "0.63321745", "0.6331892", "0.63162786", "0.63162786", "0.6311193", "0.62652224", "0.6262817", "0.62606484", "0.62029094", "0.6197595", "0.6195635", "0.6192695", "0.6192695", "0.6192695", "0.6192695", "0.6192695", "0.6186984", "0.6160889", "0.61541927", "0.6151431", "0.6151431", "0.6123046", "0.6114319", "0.61138576", "0.6099829", "0.60804844", "0.6062888", "0.60479915", "0.6044409", "0.60292035", "0.60292035", "0.6028763", "0.6004363", "0.5998131", "0.59921825", "0.59908444", "0.5980749", "0.59755164", "0.5973498", "0.5973498", "0.5973498", "0.5968325", "0.59665495", "0.5942643", "0.5942172", "0.59403676", "0.5939278", "0.5936442", "0.59318495", "0.5926696", "0.5925316", "0.592311", "0.5922266", "0.59100884", "0.59045106", "0.5894822", "0.58940405", "0.58940405", "0.58940405", "0.58940405", "0.58940405", "0.58940405", "0.58940405", "0.58940405", "0.5885002", "0.5880319", "0.5878998", "0.58786315", "0.5874908", "0.5863798", "0.58570206", "0.5855904", "0.58533734", "0.58373797", "0.5832781", "0.5831132", "0.58297324", "0.58241856", "0.58241856", "0.5823516", "0.5819553", "0.58195263", "0.5814875", "0.58131546", "0.5810283", "0.58093077", "0.5805288", "0.5796961", "0.57926875", "0.5790815", "0.5787151" ]	0.65733767	4
Get the Color Swatch	public synchronized List<WebElement> list_ColorSwatchQuickShop() throws Exception { return utils.findElementsByLocator(driver, "PDP_Lnk_ColorSwatchQuickShop", "\| PDP: Color swatch Not Displayed On PDP"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public Color getColor() { return color.get(); }", "public GameColor getColor();", "public Color getCurrentColor();", "java.awt.Color getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "public Color getColor();", "public Color getColor();", "public Color getColor();", "public synchronized Color scan(){\n \tcolorRGBSensor.fetchSample(sample, 0);\n color.setR(sample[0]1024);\n color.setG(sample[1]1024);\n color.setB(sample[2]1024);\n return color;\n }", "public Color getColor() { return color; }", "public Color getColor() {\r\n\t\treturn new Color(Color.HSBtoRGB(hsb[0], hsb[1], hsb[2]));\r\n\t}", "public RGBColor getColor(){\r\n return this._color;\r\n }", "public void getColor() {\n\t\tPoint point = MouseInfo.getPointerInfo().getLocation();\n\t\trobot.mouseMove(point.x, point.y);\n\t\tColor color = robot.getPixelColor(point.x, point.y);\n//\t\tSystem.out.println(color);\n\t}", "public Color getColor() {\n return color;\r\n }", "public Color getColor()\n {\n return color;\n }", "public Color getColor()\r\n {\r\n return currentColor;\r\n }", "public Color getColor()\n {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "protected Color getUptimeColor() {\n\t\tfinal long uptime = System.currentTimeMillis()\n\t\t\t\t- Activator.getDefault().getStartTime();\n\t\tif (uptime < 7200000)\n\t\t\treturn display.getSystemColor(SWT.COLOR_DARK_GREEN);\n\t\telse if (uptime < 14400000)\n\t\t\treturn display.getSystemColor(SWT.COLOR_BLUE);\n\t\telse\n\t\t\treturn display.getSystemColor(SWT.COLOR_RED);\n\t}", "public Color getDevColor() {\r\n\t\t// System.out.println(\"Getting \" + n);\r\n\t\treturn (value.getDevColor());\r\n\t}", "public Color getColor() {\r\n return color;\r\n }", "public Color getColor() {\r\n return color;\r\n }", "public Color getColor() {\r\n return color;\r\n }", "public Color getColor()\n { \n return color;\n }", "public Color getColor() \n\t{\n\t\treturn color;\n\t}", "public Color getColor() {\n return color;\n }", "public int getColor(){\r\n\t\treturn color;\r\n\t}", "public Color getColor() {\n\treturn color;\n }", "public Color getColor() {\n \t\treturn color;\n \t}", "public java.awt.Color getColor() {\r\n return color;\r\n }", "public String getColor()\n {\n return color;\n }", "public String getColor()\n {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "public int getColor();", "public int getColor();", "public int getColor(){\n\t\treturn color;\n\t}", "public int getColor(){\n\t\treturn color;\n\t}", "public static Color getColor() {\n return myColor;\n }", "public Color getColor() {\r\n return currentColor;\r\n }", "public Color getColor(){\n return color;\n }", "public int getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public String getColor() {\r\n return color;\r\n }", "public String getColor(){\n return this._color;\n }", "public String getColor() { \n return color; \n }", "String getColor();", "public int getColor() {\n \t\treturn color;\n \t}", "public String getColor(){\r\n return color;\r\n }", "public RMColor getColor()\n {\n return getStyle().getColor();\n }", "public Color getColorObject() {\n switch (this) {\n case WHITE:\n return new Color(255,255,255);\n case BLACK:\n return new Color(0,0,0);\n case RED:\n return new Color(255,0,0);\n case GREEN:\n return new Color(0,255,0);\n case BLUE:\n return new Color(0,0,255);\n default:\n return null;\n }\n\n }", "public String getColor(){\n\t\treturn color;\n\t}", "public Color getColor() {\r\n\t\treturn color;\r\n\t}", "public Color getColor() {\r\n\t\treturn color;\r\n\t}", "public Color getColor() {\r\n return this.color;\r\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public final Color getColor() {\n return color;\n }", "public short getColor() {\n\t\treturn this.color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public String getColor()\n {\n return this.color;\n }", "public Color getColor() {\n return this.color;\n }", "public final Color getColor() {\r\n return color;\r\n }", "public CMYKColors getColor() {\n return this.color;\n }", "public Color getColor() {\n return this.color;\n }", "public Color readColor() {\n return colorSensor.getColor();\n }", "public Integer getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n return this.color;\n }", "public Color getColor() {\n return this.color;\n }", "public Color getColor() {\n return this.color;\n }", "public java.awt.Color getColor() {\r\n return this.color;\r\n }", "public String getColor() {\r\n\t\treturn color;\r\n\t}", "public java.awt.Color getColor() {\n return this.color;\n }", "public java.awt.Color getColor() {\n return this.color;\n }", "public int getColor() {\r\n return Color;\r\n }", "@ColorInt\n public int getColor() {\n return Color.HSVToColor(mColorHSV);\n }", "public String getColor() {\n return this.color;\n }", "public int getColor() {\n return this.color;\n }", "public Color update() {\n /\n * The method GetColor() returns a normalized color value from the sensor and\n * can be Useful if outputting the color to use an RGB LED or similar. To read\n * the raw color, or use GetRawColor().\n \n The color sensor works best when within a few inches from an object in well\n * lit conditions (the built in LED is a big help here!). The farther an object\n * is the more light from the surroundings will bleed into the measurements and\n * make it difficult to accurately determine its color.\n /\n edu.wpi.first.wpilibj.util.Color detectedColor = m_ColorSensor.getColor();\n /\n * Run the color match algorithm on our detected color\n /\n String colorString;\n ColorMatchResult match = m_colorMatcher.matchClosestColor(detectedColor);\n\n if (match.color == kBlueTarget) {\n colorString = \"Blue\";\n mCurrentColor = Color.blue;\n } else if (match.color == kRedTarget) {\n colorString = \"Red\";\n mCurrentColor = Color.red;\n } else if (match.color == kGreenTarget) {\n colorString = \"Green\";\n mCurrentColor = Color.green;\n } else if (match.color == kYellowTarget) {\n colorString = \"Yellow\";\n mCurrentColor = Color.yellow;\n } else {\n colorString = \"Unknown\";\n mCurrentColor = Color.unknown;\n }\n /\n Open Smart Dashboard or Shuffleboard to see the color detected by the Sensor.\n */\n SmartDashboard.putNumber(\"Red\", detectedColor.red);\n SmartDashboard.putNumber(\"Green\", detectedColor.green);\n SmartDashboard.putNumber(\"Blue\", detectedColor.blue);\n SmartDashboard.putNumber(\"Confidence\", match.confidence);\n SmartDashboard.putString(\"Detected Color\", colorString);\n return mCurrentColor;\n }", "public String getColor() {\n\t\treturn color;\n\t}", "public String getColor() {\n\t\treturn color;\n\t}", "public final Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn _color;\n\t}" ]	[ "0.66807336", "0.6568094", "0.65524036", "0.6534112", "0.6464812", "0.6464812", "0.6464812", "0.6464812", "0.6464812", "0.64524215", "0.64524215", "0.64524215", "0.64351463", "0.6433794", "0.64050186", "0.6393199", "0.6392659", "0.6387995", "0.6387257", "0.63647616", "0.634", "0.634", "0.634", "0.6335054", "0.6322478", "0.6314019", "0.6314019", "0.6314019", "0.6299885", "0.6297017", "0.6295596", "0.6283987", "0.6282133", "0.6274759", "0.6265659", "0.62649804", "0.62649804", "0.6262588", "0.626104", "0.626104", "0.62604994", "0.62604994", "0.62497646", "0.6248228", "0.62458426", "0.62451947", "0.624229", "0.624229", "0.624229", "0.624229", "0.624229", "0.624229", "0.62250894", "0.62137467", "0.6207241", "0.62069696", "0.6204799", "0.6204624", "0.619575", "0.6193224", "0.6191833", "0.61864716", "0.61864716", "0.6178262", "0.61719924", "0.61719924", "0.61719924", "0.61719924", "0.61719924", "0.61719924", "0.61719924", "0.61719924", "0.6163718", "0.61583173", "0.6140821", "0.6140821", "0.6140821", "0.6140821", "0.61386544", "0.6135264", "0.6134762", "0.6130002", "0.6127517", "0.61198604", "0.6117628", "0.6114435", "0.6114435", "0.6114435", "0.61106193", "0.6105854", "0.6102332", "0.6102332", "0.610221", "0.6101772", "0.6089184", "0.608498", "0.6081076", "0.6080525", "0.6080525", "0.6072524", "0.6071525" ]	0.0	-1
Get the final Sale message	public synchronized WebElement pdp_finalSaleMsg() throws Exception { return utils.findElementByLocator(driver, "PDP_FinalSaleMsg", "\| PDP: Final Message Not Displayed On PDP"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public String completeSale(){\n updateEISAndEAS();\n return sale.printReceipt(paymentDTO);\n }", "public Amount endSale(){\n totalCost = sale.getRunningTotal(); \n payment = new CashPayment(totalCost);\n \n return totalCost;\n }", "public void endSale() {\r\n receipt.outputReceiptItems();\r\n System.out.println(\"\");\r\n System.out.println(\"Thanks for shopping at JavaMart\");\r\n System.out.println(\"\");\r\n System.out.println(\"[CashRegister] endSale\");\r\n }", "public String getAfter_sale() {\n return after_sale;\n }", "public Payment endSale(){\n Payment payment = this.sale.getAmountToPay();\n this.accounting.registerSale(payment);\n return payment;\n }", "private String getMessage() {\n\t\tSharedPreferences prefs = PreferenceManager.getDefaultSharedPreferences(this);\r\n\t\t\r\n\t\tboolean addSign = prefs.getBoolean(\"addsign\", true);\r\n\t\t\r\n\t\ttry {\r\n\t\t\r\n\t\tdefMessage = \"I am busy right now and will call you latter.\";\r\n\t\t\r\n\t\tfinalMessage = prefs.getString(\"message\", defMessage);\r\n\t\tif(finalMessage.equals(\"\"))\r\n\t\t\tfinalMessage = defMessage;\r\n\t\t} catch (RuntimeException e) {\r\n\t\t\t// TODO: handle exception\r\n\t\t\tfinalMessage = defMessage;\r\n\t\t}\r\n\t\t\r\n\t\tif(addSign)\r\n\t\t\tfinalMessage += \"\\nSent using Calls and SMS Blocker for android.\\nDownload from: https://play.google.com/store/apps/details?id=com.atiffarrukh.callandsmsblocker\";\r\n\t\treturn finalMessage;\r\n\t}", "public final void endSaleAndOutputReceipt() {\n receipt.outputReceipt();\n }", "public int getSale() {\n\t\treturn sale;\r\n\t}", "public String insertEndReceipt() {\r\n\t\tif (receiptSS == null) {\r\n\t\t\treceiptSS = new Receipt();\r\n\t\t}\r\n\t\t\r\n\t\tString loginId = com.omp.admin.common.util.CommonUtil.getLoginId(this.req.getSession());\r\n\t\treceiptSS.setRegId(loginId);\r\n\t\tservice.insertEndReceipt(receiptSS);\r\n\t\treceiptS.setProcessMessage(\"處理完畢.\");//정산적으로 처리되었습니다.\r\n\t\t\r\n\t\treturn SUCCESS;\r\n\t\t\r\n\t}", "private String marketSellAmounts() {\r\n\t\tint[] amounts= market.getSellAmounts();\r\n\t\tString out = \"Sell Requests Are: \";\r\n\t\tfor(int i=0; i<amounts.length;i++) {\r\n\t\t\tout=out.concat(i+\": \"+amounts[i]+\" \|\| \");\r\n\t\t}\r\n\t\treturn out;\r\n\t}", "public String getMessage() {\n\t\tString toReturn = message;\n\t\tmessage=\"\";//delete the message\n\t\treturn toReturn;\n\t}", "public String getMessage(){\n return saisieMessage.getText();\n }", "public TotalPriceDTO finalizeSale() {\n return sale.finalizeSale();\n }", "public static String getSells() {\n if(DatabaseMethods.sales_analaysis()){\r\n return DatabaseMethods.get_total_sales();\r\n }\r\n else{\r\n return null; \r\n }\r\n \r\n\t}", "public String editEndReceipt() {\r\n\t\t\r\n\t\ttry {\r\n\t\t\tString loginId = com.omp.admin.common.util.CommonUtil.getLoginId(this.req.getSession());\r\n\t\t\treceiptSS.setRegId(loginId);\r\n\t\t\tservice.editEndReceipt(receiptSS);\r\n\t\t\treceiptS.setProcessMessage(\"處理完畢.\");//정산적으로 처리되었습니다.\r\n\t\t} catch (Exception e) {\r\n\t\t\t\r\n\t\t} \r\n\t\t\r\n\t\treturn SUCCESS;\r\n\t\t\r\n\t}", "@Override\n\tpublic String getMessage() throws WebApplicationException{\n\t\tString msg=\"\";\n\t\ttry{\n\t\tmsg= storeBusiness.getMessage();\n\t\t}catch(StoreException e)\n\t\t{\n\t\t\tthrowException(e.getStoreDetails());\n\t\t}\n\t\treturn msg;\n\t}", "public String determineLateFee(){\n\n\t\t/\n\t\t * Initialize an empty String for the message\n\t\t /\n\t\tString cost = \"\";\n\n\t\t/\n\t\t * If the DVD is late\n\t\t /\n\t\tif(getReturnDate().compareTo(getBoughtReturn()) > 0){\n\n\t\t\tcost = \"$2.00\";\n\n\t\t}\n\n\t\t/\n\t\t * If the DVD is early or on time\n\t\t /\n\t\telse if(getReturnDate().compareTo(getBoughtReturn()) <= 0){\n\n\t\t\tcost = \"$1.20\";\n\n\t\t}\n\n\t\t/\n\t\t * Returns a String message to be displayed on a JDialog from\n\t\t * the GUIRentalStore class\n\t\t /\n\t\treturn \"Thanks, \" + getNameofRenter() +\", for returning \"\n\t\t+ getTitle() + \". You owe \" + cost;\n\n\t}", "public void endTransaction() {\r\n Receipt salesReceipt = new Receipt();\r\n salesReceipt.createReceipt(customer, lineItems);\r\n }", "public String getMessage()\n {\n return String.format(\"MessageType=%s,TransactionId=%s,TerminalId=%s,MerchantId=%s,FingerData=%s,CustomerId=%s,IdData=%s, CustomerData=%s\", this.messageType, this.transactionId, this.terminalId, this.merchantId, this.fingerData, this.customerId, this.idData, this.customerData);\n }", "public String getMessage() {\r\n\treturn messageSB.toString();\r\n }", "public double getSaleAmount() {\n return saleAmount;\n }", "String getOtherAlertMailBody( );", "String getExpirationtMailBody( );", "public String getSaleDiscount(String saleCodeS)\r\n\t{\r\n\t\tResultSet rs = null;\r\n\t\tArrayList<String> arr = new ArrayList<>();\r\n\t\tString discount = \"none\";\r\n\t\t\r\n\t\tString query = \"select discount from sales where saleCode = ?\";\r\n\t\tarr.add(saleCodeS);\r\n\t\t\r\n\t\ttry\r\n\t\t{\r\n\t\t\tClientUI.chat.accept(\"\");\r\n\t\t\trs = ChatClient.selectWithParameters(query, arr);\r\n\t\t\t\r\n\t\t\twhile(rs.next())\r\n\t\t\t{\r\n\t\t\t\tdiscount = rs.getString(\"discount\");\r\n\t\t\t}\r\n\t\t} \r\n\t\tcatch (Exception e)\r\n\t\t{\r\n\t\t\tSystem.err.println(\"Error : MarketingManagerReports : client server problem\");\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\t\r\n\t\treturn discount;\r\n\t}", "protected String getMessage() {\n if (allMessage == null)\n return allMessage;\n return allMessage.trim();\n }", "public double completeSale(double payment){\n \tsaleInfo.setAmountPaid(payment);\n \tnotifyObservers();\n \tdouble change = saleInfo.getChange();\n Map<ItemDTO, Integer> items = saleInfo.getItems();\n for (Map.Entry<ItemDTO, Integer> entry : items.entrySet()){\n //Doesn't handle case where cashier tries to remove more items than are in stock\n inventory.removeFromStock(entry.getKey().getItemIdentifier(), entry.getValue());\n }\n System.out.println(Printer.printReceipt(saleInfo));\n return change;\n }", "public Mensaje calculate (){\n Mensaje msg2 = new Mensaje(((double)this.valor (double)this.porcentaje / 100) + ((double)this.peso * 0.15));\n return msg2;\n }", "public double getSale()\n {\n return sale;\n }", "public String getLastMessage() {\n return lastMessage;\n }", "private String endStats(){\n String outputString = \"End of 30 days Stats\";\n\n\n outputString = outputString + \"\\n\" + salesPerRoll();\n outputString = outputString + \"\\n\" + \"Total Money Made: $\" + (float)Math.round(totalMoneyMade * 100.0) / 100.0;\n outputString = outputString + \"\\n\" + \"Total Number of Orders Impacted by Outtages: \" + totalDisruptions;\n return outputString;\n }", "public String getLastMsg() {\n String s = msgs.peekTail();\n return s == null ? \"\" : s;\n }", "String getFirstAlertMailBody( );", "public String getMessageFired(final SessionContext ctx)\r\n\t{\r\n\t\tif( ctx == null \|\| ctx.getLanguage() == null )\r\n\t\t{\r\n\t\t\tthrow new JaloInvalidParameterException(\"GeneratedSslOrderSteppedMultiBuyDiscountPromotion.getMessageFired requires a session language\", 0 );\r\n\t\t}\r\n\t\treturn (String)getLocalizedProperty( ctx, MESSAGEFIRED);\r\n\t}", "java.lang.String getTheMessage();", "public String getLatestMessage() {\n return mLastMessage;\n }", "public static String generateSaleID() {\n\tsaleID++;\n\treturn String.valueOf(saleID);\n }", "public String getMessage(){\n String messageOut=\"Error\";\n if(this.akun instanceof Savings && akun instanceof Investment==false){\n messageOut=\"Savings\";\n }\n else if (this.akun instanceof Investment && akun instanceof Investment==true){\n messageOut=\"Investment\";\n }\n else if (this.akun instanceof LineOfCredit){\n messageOut=\"Line-Of-Credit\";\n }\n else if (this.akun instanceof OverDraftProtection){\n messageOut=\"Overdraft\";\n }\n return super.getMessage()+ messageOut;\n }", "public String getOriginalSaleTransactionId() {\n String[] array = this.getOriginalSaleTransactionIdArray();\n if (array == null \|\| array.length == 0) {\n return null;\n } else {\n return array[0];\n }\n }", "public String creerMessage(){\n return profile.getMessage();\n }", "public String getReturnMessage()\r\n\t{\r\n\t\treturn returnMessage;\r\n\t}", "public static String getMessageText(String operationName, String oldProperties,\n String sessionName, String tradingPropertyName)\n {\n return getMessageText(operationName, oldProperties, sessionName,\n ProductClass.DEFAULT_CLASS_KEY, tradingPropertyName);\n }", "public String returnMessage () {\n String msg = getString(R.string.result, score);\n if (score > 7) {\n msg += \"\\n\" + getString(R.string.fabulous);\n }\n else if (score >= 5 && score <= 7) {\n msg += \"\\n\" + getString(R.string.good_job);\n }\n else {\n msg += \"\\n\" + getString(R.string.try_again);\n }\n return msg;\n }", "public String endTime(){\r\n\t\tsaleEnded = Calendar.getInstance().getTime();\r\n\t\tDateFormat dateFormat = new SimpleDateFormat(\"yyyy-mm-dd HH:mm:ss\");\r\n\t\tString endTime = dateFormat.format(time);\r\n\t\treturn endTime;\r\n\t}", "private static String getMessageText(String sessionName, String propertyName,\n String productClass, String operationName,\n String oldProperties, String newProperties)\n {\n TradingPropertyParser parser = new TradingPropertyParser();\n String[] parsedValues = parser.validateAndSendForParsing(oldProperties, newProperties);\n\n StringBuilder messageText = new StringBuilder(sessionName);\n messageText.append(PIPE).append(propertyName).append(PIPE);\n messageText.append(productClass).append(PIPE).append(operationName);\n messageText.append(PIPE).append(parsedValues[0]).append(PIPE);\n messageText.append(parsedValues[1]).append(PIPE);\n messageText.append(UserSessionFactory.findUserSession().getUserModel().getUserId());\n return messageText.toString();\n }", "public String selectMessage() {\r\n\r\n\t\tswitch (choice) {\r\n\t\tcase 1: {\r\n\t\t\treturn \"Stimat(a) \" + invoice.getClient().getName() + \" \" + invoice.getClient().getSurname()\r\n\t\t\t\t\t+ \"\\nFactura dvs. la \" + invoice.getSupplier().getFirmName() + \" a fost emisa.\" + \"\\nAveti de plata \"\r\n\t\t\t\t\t+ invoice.getTotalValue() + \" RON, pana in data de \" + new SimpleDateFormat(\"dd.MM.yyyy\").format(invoice.getMaturityDate()) + \"\\n\\nVa multumim !\";\r\n\t\t}\r\n\t\tcase 2: {\r\n\t\t\treturn \"Stimat(a) \" + invoice.getClient().getName() + \" \" + invoice.getClient().getSurname()\r\n\t\t\t\t\t+ \"\\nFactura dvs. la \" + invoice.getSupplier().getFirmName() + \" a fost emisa.\"\r\n\t\t\t\t\t+ \"\\nFactura a fost platita. S-au extras \" + invoice.getTotalValue() + \" RON din contul dvs.\"\r\n\t\t\t\t\t+ \"\\n\\nVa multumim !\";\r\n\t\t}\r\n\t\tcase 3: {\r\n\t\t\treturn \"Stimat(a) \" + invoice.getClient().getName() + \" \" + invoice.getClient().getSurname()\r\n\t\t\t\t\t+ \"\\nAveti de plata 3 facturi restante la\" + invoice.getSupplier().getFirmName()\r\n\t\t\t\t\t+ \"\\nFurnizorul a oprit furnizarea de servicii pana platiti una dintre cele 3 facturi restante\\n\\nVa multumim !\";\r\n\t\t}\r\n\t\tcase 4: {\r\n\t\t\treturn \"Stimat(a) \" + invoice.getClient().getName() + \" \" + invoice.getClient().getSurname()\r\n\t\t\t\t\t+ \"\\nFactura dvs. din data de \"+new SimpleDateFormat(\"dd.MM.yyyy\").format(invoice.getReleaseDate())+\" a fost platita. S-au extras \" + invoice.getTotalValue() + \" RON din contul dvs.\"\r\n\t\t\t\t\t+ \"\\n\\nVa multumim !\";\r\n\t\t}\r\n\t\t}\r\n\t\treturn null;\r\n\t}", "@Override\r\n public void notifyEndOfSale(RevenueDTO revenue) {\r\n\r\n }", "public String getMessage()\n {\n return fMessage;\n }", "java.lang.String getBrokerCommission();", "protected void aggregateMessage(String retMessage) {\n if (!returnImmediate) {\n if (retMessage != null && !retMessage.isEmpty()) {\n if (allMessage == null \|\| allMessage.isEmpty()) {\n allMessage = retMessage;\n } else {\n allMessage += (NEW_LINE + retMessage);\n }\n }\n } else {\n allMessage = retMessage;\n }\n }", "private Entity queryReceipt() {\n Query query = new Query(\"Receipt\");\n PreparedQuery results = datastore.prepare(query);\n return results.asSingleEntity();\n }", "public String getMessage(){\n return(message);\n }", "public String getNextMessage(){\r\n String msg = this.receivedMessages.get(0);\r\n this.receivedMessages.remove(0);\r\n return msg;\r\n }", "@Override\r\n\tpublic int getPayCheque() {\n\t\treturn profit+annuelSalary;\r\n\t\t\r\n\t}", "private synchronized Price determineLastSalePrice(HashMap<String, FillMessage> fills) throws InvalidDataException {\n\t\tif (fills == null) throw new InvalidDataException(\"Fills cannot be null\");\n\t\tArrayList<FillMessage> msgs = new ArrayList<FillMessage>(fills.values());\n\t\tCollections.sort(msgs);\n\t\treturn msgs.get(0).getPrice();\n\t}", "org.adscale.format.opertb.AmountMessage.Amount getExchangeprice();", "public String getMessageText();", "public String getPersonalMessage()\n \t{\n \t\treturn personalMessage;\n \t}", "protected String getCenterMessage() {\n\t\treturn getLeader().getName() + \" leads\";\n\t}", "Message getRevenueForCustomer(int id);", "public String extractingmessagegetbookings()\r\n\t{\r\n\t\tString localresponseJSONString = responseJSONString;\r\n\t\tJSONObject jsonResult = new JSONObject(localresponseJSONString);\r\n\t\tString getbookingsstring;\r\n\t\tgetbookingsstring = jsonResult.getJSONObject(\"hotelogix\").getJSONObject(\"response\").getJSONObject(\"status\").getString(\"message\");\r\n\t\tSystem.out.println(\"at last getbookings success:\"+getbookingsstring);\r\n\t\treturn getbookingsstring;\r\n\t}", "public java.lang.String getMESSAGE() {\n return MESSAGE;\n }", "java.lang.String getMsg();", "public String getPopReceipt() {\n\t\treturn m_PopReceipt;\n\t}", "public String getMlatestMessage() {\n return mLatestMessage;\n }", "public String getMessage()\r\n {\r\n return myMessage;\r\n }", "public void completeSale() {\n\n }", "public String getSaleprice() {\n return saleprice;\n }", "public Integer getDeliverSales() {\n return this.deliverSales;\n }", "public String getMessage()\n {\n return super.getMessage() + invoice_error + \" not found\";\n }", "public static String getMessageText(String operationName, String oldProperties,\n String sessionName, int classKey,\n String tradingPropertyName)\n {\n TradingPropertyGroup tpg = null;\n String messageText = null;\n try\n {\n tpg = getTradingPropertyGroup(sessionName, classKey, tradingPropertyName);\n messageText = getMessageText(operationName, oldProperties, tpg);\n }\n catch(Exception e)\n {\n GUILoggerHome.find().exception(GUILoggerSABusinessProperty.PROPERTY_SERVICE +\n \".getMessageText(operationName, oldProperties, sessionName, classKey, tradingPropertyName)\",\n \" Exception while formatting the message text :\", e);\n return FAILED;\n }\n return messageText;\n }", "@Override\n public String getTotalSavings() {\n\n setLogString(\"Get total Savings Amount\", true, CustomLogLevel.HIGH);\n final String savingsValue = getElement(getDriver(), By.className(SAVINGS_DOLLARS),\n TINY_TIMEOUT).getText();\n setLogString(\"Total Savings :\" + savingsValue, true, CustomLogLevel.LOW);\n return savingsValue;\n }", "public String getMessage() {\r\n return getPayload().optString(\"message\");\r\n }", "public TransactionResponse sell() {\r\n \t\ttry {\r\n \t\t\tTransactionResponse response = new TransactionResponse(hp);\r\n \t\t\tCalculation calc = hc.getCalculation();\r\n \t\t\tAccount acc = hc.getAccount();\r\n \t\t\tLanguageFile L = hc.getLanguageFile();\r\n \t\t\tLog log = hc.getLog();\r\n \t\t\tNotification not = hc.getNotify();\r\n \t\t\tInfoSignHandler isign = hc.getInfoSignHandler();\r\n \t\t\tString playerecon = hp.getEconomy();\r\n \t\t\tint id = hyperObject.getId();\r\n \t\t\tint data = hyperObject.getData();\r\n \t\t\tString name = hyperObject.getName();\r\n \t\t\tif (giveInventory == null) {\r\n \t\t\t\tgiveInventory = hp.getPlayer().getInventory();\r\n \t\t\t}\r\n \t\t\tif (amount > 0) {\r\n \t\t\t\tif (id >= 0) {\r\n \t\t\t\t\tint totalitems = im.countItems(id, data, giveInventory);\r\n \t\t\t\t\tif (totalitems < amount) {\r\n \t\t\t\t\t\tboolean sellRemaining = hc.getYaml().getConfig().getBoolean(\"config.sell-remaining-if-less-than-requested-amount\");\r\n \t\t\t\t\t\tif (sellRemaining) {\r\n \t\t\t\t\t\t\tamount = totalitems;\r\n \t\t\t\t\t\t} else {\t\r\n \t\t\t\t\t\t\tresponse.addFailed(L.f(L.get(\"YOU_DONT_HAVE_ENOUGH\"), name), hyperObject);\r\n \t\t\t\t\t\t\treturn response;\t\r\n \t\t\t\t\t\t}\r\n \t\t\t\t\t}\r\n \t\t\t\t\tif (amount > 0) {\r\n \t\t\t\t\t\tdouble price = hyperObject.getValue(amount, hp);\r\n \t\t\t\t\t\tBoolean toomuch = false;\r\n \t\t\t\t\t\tif (price == 3235624645000.7) {\r\n \t\t\t\t\t\t\ttoomuch = true;\r\n \t\t\t\t\t\t}\r\n \t\t\t\t\t\tif (!toomuch) {\r\n \t\t\t\t\t\t\tint maxi = hyperObject.getMaxInitial();\r\n \t\t\t\t\t\t\tboolean isstatic = false;\r\n \t\t\t\t\t\t\tboolean isinitial = false;\r\n \t\t\t\t\t\t\tisinitial = Boolean.parseBoolean(hyperObject.getInitiation());\r\n \t\t\t\t\t\t\tisstatic = Boolean.parseBoolean(hyperObject.getIsstatic());\r\n \t\t\t\t\t\t\tif ((amount > maxi) && !isstatic && isinitial) {\r\n \t\t\t\t\t\t\t\tamount = maxi;\r\n \t\t\t\t\t\t\t\tprice = hyperObject.getValue(amount, hp);\r\n \t\t\t\t\t\t\t}\r\n \t\t\t\t\t\t\tboolean sunlimited = hc.getYaml().getConfig().getBoolean(\"config.shop-has-unlimited-money\");\r\n \t\t\t\t\t\t\tif (acc.checkshopBalance(price) \|\| sunlimited) {\r\n \t\t\t\t\t\t\t\tif (maxi == 0) {\r\n \t\t\t\t\t\t\t\t\tprice = hyperObject.getValue(amount, hp);\r\n \t\t\t\t\t\t\t\t}\r\n \t\t\t\t\t\t\t\tim.removeItems(id, data, amount, giveInventory);\r\n \t\t\t\t\t\t\t\tdouble shopstock = 0;\r\n \t\t\t\t\t\t\t\tshopstock = hyperObject.getStock();\r\n \t\t\t\t\t\t\t\tif (!Boolean.parseBoolean(hyperObject.getIsstatic()) \|\| !hc.getConfig().getBoolean(\"config.unlimited-stock-for-static-items\")) {\r\n \t\t\t\t\t\t\t\t\thyperObject.setStock(shopstock + amount);\r\n \t\t\t\t\t\t\t\t}\r\n \t\t\t\t\t\t\t\tint maxi2 = hyperObject.getMaxInitial();\r\n \t\t\t\t\t\t\t\tif (maxi2 == 0) {\r\n \t\t\t\t\t\t\t\t\thyperObject.setInitiation(\"false\");\r\n \t\t\t\t\t\t\t\t}\r\n \t\t\t\t\t\t\t\tdouble salestax = hp.getSalesTax(price);\r\n \t\t\t\t\t\t\t\tacc.deposit(price - salestax, hp.getPlayer());\r\n \t\t\t\t\t\t\t\tacc.withdrawShop(price - salestax);\r\n \t\t\t\t\t\t\t\tif (sunlimited) {\r\n \t\t\t\t\t\t\t\t\tString globalaccount = hc.getYaml().getConfig().getString(\"config.global-shop-account\");\r\n \t\t\t\t\t\t\t\t\tacc.setBalance(0, globalaccount);\r\n \t\t\t\t\t\t\t\t}\r\n \t\t\t\t\t\t\t\t\r\n \t\t\t\t\t\t\t\tresponse.addSuccess(L.f(L.get(\"SELL_MESSAGE\"), amount, calc.twoDecimals(price), name, calc.twoDecimals(salestax)), price - salestax, hyperObject);\r\n \t\t\t\t\t\t\t\tresponse.setSuccessful();\r\n \t\t\t\t\t\t\t\tString type = \"dynamic\";\r\n \t\t\t\t\t\t\t\tif (Boolean.parseBoolean(hyperObject.getInitiation())) {\r\n \t\t\t\t\t\t\t\t\ttype = \"initial\";\r\n \t\t\t\t\t\t\t\t} else if (Boolean.parseBoolean(hyperObject.getIsstatic())) {\r\n \t\t\t\t\t\t\t\t\ttype = \"static\";\r\n \t\t\t\t\t\t\t\t}\r\n \t\t\t\t\t\t\t\tlog.writeSQLLog(hp.getName(), \"sale\", name, (double) amount, calc.twoDecimals(price - salestax), calc.twoDecimals(salestax), playerecon, type);\r\n \t\t\t\t\t\t\t\tisign.updateSigns();\r\n \t\t\t\t\t\t\t\tnot.setNotify(name, null, playerecon);\r\n \t\t\t\t\t\t\t\tnot.sendNotification();\r\n \t\t\t\t\t\t\t\treturn response;\r\n \t\t\t\t\t\t\t} else {\r\n \t\t\t\t\t\t\t\tresponse.addFailed(L.get(\"SHOP_NOT_ENOUGH_MONEY\"), hyperObject);\r\n \t\t\t\t\t\t\t\treturn response;\t\r\n \t\t\t\t\t\t\t}\r\n \t\t\t\t\t\t} else {\r\n \t\t\t\t\t\t\tresponse.addFailed(L.f(L.get(\"CURRENTLY_CANT_SELL_MORE_THAN\"), hyperObject.getStock(), name), hyperObject);\r\n \t\t\t\t\t\t\treturn response;\t\r\n \t\t\t\t\t\t}\r\n \t\t\t\t\t} else {\r\n \t\t\t\t\t\tresponse.addFailed(L.f(L.get(\"YOU_DONT_HAVE_ENOUGH\"), name), hyperObject);\r\n \t\t\t\t\t\treturn response;\t\r\n \t\t\t\t\t}\r\n \t\t\t\t} else {\r\n \t\t\t\t\tresponse.addFailed(L.f(L.get(\"CANNOT_BE_SOLD_WITH\"), name), hyperObject);\r\n \t\t\t\t\treturn response;\t\r\n \t\t\t\t}\r\n \t\t\t} else {\r\n \t\t\t\tresponse.addFailed(L.f(L.get(\"CANT_SELL_LESS_THAN_ONE\"), name), hyperObject);\r\n \t\t\t\treturn response;\t\r\n \t\t\t}\r\n \t\t} catch (Exception e) {\r\n \t\t\tString info = \"Transaction sell() passed values name='\" + hyperObject.getName() + \"', player='\" + hp.getName() + \"', id='\" + hyperObject.getId() + \"', data='\" + hyperObject.getData() + \"', amount='\" + amount + \"'\";\r\n \t\t\tnew HyperError(e, info);\r\n \t\t\treturn new TransactionResponse(hp);\r\n \t\t}\r\n \t}", "@Override\n protected String[] getText() {\n return new String[] {\n MyTown.instance.LOCAL.getLocalization(\"mytown.sign.sell.title\").getUnformattedText(),\n MyTown.instance.LOCAL.getLocalization(\"mytown.sign.sell.description.owner\").getUnformattedText() + \" \" + owner.getPlayerName(),\n MyTown.instance.LOCAL.getLocalization(\"mytown.sign.sell.description.price\").getUnformattedText() + price,\n restricted ? MyTown.instance.LOCAL.getLocalization(\"mytown.sign.sell.description.restricted\").getUnformattedText() : \"\"\n };\n }", "public String updateSalerQuantity() throws Exception {\n\t\tactionStartTime = new Date();\n\t\tresetToken(result);\n\t\tresult.put(ERROR, true);\n\t\tif (promotionId == null \|\| promotionId < 1 \|\| id == null \|\| id < 1) {\n\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_DATA_CORRECT));\n\t\t\treturn JSON;\n\t\t}\n\t\ttry {\n\t\t\tstaff = getStaffByCurrentUser();\n\t\t\tif (staff == null \|\| staff.getShop() == null \|\| staff.getStaffType() == null) {\n\t\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_PERMISSION, \"\"));\n\t\t\t\treturn JSON;\n\t\t\t}\n\n\t\t\tPromotionProgram pro = promotionProgramMgr.getPromotionProgramById(promotionId);\n\t\t\tif (pro == null) {\n\t\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_EXIST_DB, \"CTKM\"));\n\t\t\t\treturn JSON;\n\t\t\t}\n\t\t\tif (!ActiveType.WAITING.equals(pro.getStatus()) && !ActiveType.RUNNING.equals(pro.getStatus())) {\n\t\t\t\tresult.put(\"errMsg\", Configuration.getResourceString(ConstantManager.VI_LANGUAGE, \"promotion.program.incorrect\"));\n\t\t\t\treturn JSON;\n\t\t\t}\n\n\t\t\tPromotionStaffMap psm = promotionProgramMgr.getPromotionStaffMapById(id);\n\t\t\tif (psm == null \|\| !ActiveType.RUNNING.equals(psm.getStatus())) {\n\t\t\t\tresult.put(\"errMsg\", Configuration.getResourceString(ConstantManager.VI_LANGUAGE, \"catalog.promotion.staff.map.not.exists\"));\n\t\t\t\treturn JSON;\n\t\t\t}\n\t\t\tif (quantity != null && psm.getQuantityReceivedTotal() != null && quantity.compareTo(psm.getQuantityReceivedTotal()) < 0) {\n\t\t\t\tresult.put(\"errMsg\", \"Số suất phân bổ không được bé hơn số suất đã nhận.\");\n\t\t\t\treturn JSON;\n\t\t\t} else if (amount != null && psm.getAmountReceivedTotal() != null && amount.compareTo(psm.getAmountReceivedTotal()) < 0) {\n\t\t\t\tresult.put(\"errMsg\", \"Số tiền phân bổ không được bé hơn số tiền đã nhận.\");\n\t\t\t\treturn JSON;\n\t\t\t} else if (number != null && psm.getNumReceivedTotal() != null && number.compareTo(psm.getNumReceivedTotal()) < 0) {\n\t\t\t\tresult.put(\"errMsg\", \"Số lượng phân bổ không được bé hơn số lượng đã nhận.\");\n\t\t\t\treturn JSON;\n\t\t\t} else {\n\t\t\t\tpsm.setQuantityMax(quantity);\n\t\t\t\tpsm.setAmountMax(amount);\n\t\t\t\tpsm.setNumMax(number);\n\t\t\t\tpromotionProgramMgr.updatePromotionStaffMap(psm, getLogInfoVO());\n\t\t\t\tresult.put(ERROR, false);\n\t\t\t}\n\t\t} catch (Exception ex) {\n\t\t\tLogUtility.logErrorStandard(ex, R.getResource(\"web.log.message.error\", \"vnm.web.action.program.PromotionCatalogAction.updateSalerQuantity\"), createLogErrorStandard(actionStartTime));\n\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_SYSTEM));\n\t\t\tresult.put(ERROR, true);\n\t\t}\n\t\treturn JSON;\n\t}", "org.adscale.format.opertb.AmountMessage.Amount getCampaignprice();", "int getNumberPaymentReceipt();", "public String getMessageAmounts()\n\t{\n\t\treturn messageAmounts;\n\t}", "public static String sale(StoreProduct product) {\n\t\tdouble total;\n\t\tdouble subtotal;\n\t\tdouble tax;\n\t\t\n\t\tif(product.productAvailability()) {\n\t\t\t// calculate the total\n\t\t\tsubtotal = product.getPrice();\n\t\t\ttax = product.getPrice() * TAX;\n\t\t\ttotal = subtotal + tax;\n\t\t\t\n\t\t\t// return the subtotal, tax, and total cost to the user\n\t\t\treturn \"Subtotal: $\" + subtotal + \"\\nTax: $\" + tax + \"\\nTotal: $\" + total;\n\t\t} else {\n\t\t\treturn \"The product is not available for sale because of the lack of stock. Sorry!\";\n\t\t}\n\t}", "@Override\r\n public int getsaleId() {\n return this.saleId;\r\n }", "public String getProfitLoss() {\n\n return this.profitLoss;\n }", "public String getLBR_DirectDebitNotice();", "public WsPmsResult get_return(){\n return local_return;\n }", "public WsPmsResult get_return(){\n return local_return;\n }", "public WsPmsResult get_return(){\n return local_return;\n }", "public WsPmsResult get_return(){\n return local_return;\n }", "public WsPmsResult get_return(){\n return local_return;\n }", "public WsPmsResult get_return(){\n return local_return;\n }", "public WsPmsResult get_return(){\n return local_return;\n }", "public WsPmsResult get_return(){\n return local_return;\n }", "public WsPmsResult get_return(){\n return local_return;\n }", "Message getRevenueForType(String type);", "public String getPaymentCompletedStaticResponse(){\n String resp=\"<?xml version=\\\"1.0\\\" encoding=\\\"UTF-8\\\"?>\\n\" +\n \"<ns0:debitcompletedresponse xmlns:ns0=\\\"http://www.ericsson.com/em/emm\\\"/>\";\n \n return resp;\n }", "public Integer getSale_num() {\n return sale_num;\n }", "public Integer getAmountOnSale() {\n return amountOnSale;\n }", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();" ]	[ "0.6800643", "0.62631154", "0.61780953", "0.61751974", "0.6168833", "0.5847908", "0.58224744", "0.5781362", "0.57111514", "0.5676935", "0.56467736", "0.558378", "0.5560077", "0.5541489", "0.55345607", "0.5487342", "0.54665625", "0.5447437", "0.54335016", "0.5426214", "0.5418617", "0.5417587", "0.5414126", "0.54099745", "0.5404796", "0.539922", "0.5395897", "0.53954655", "0.5390818", "0.53772384", "0.53694093", "0.53619117", "0.53543705", "0.5351875", "0.53320116", "0.5325537", "0.5267149", "0.52492625", "0.5239218", "0.52382755", "0.52371836", "0.52354664", "0.52313465", "0.52150476", "0.52100337", "0.5209508", "0.5196112", "0.51943713", "0.51908326", "0.51888615", "0.5186813", "0.51823443", "0.51801765", "0.5179548", "0.517721", "0.5169864", "0.516921", "0.51678026", "0.51577455", "0.5147659", "0.514437", "0.5143409", "0.5141258", "0.5140473", "0.51331645", "0.51312304", "0.5130888", "0.5126545", "0.51230437", "0.51211655", "0.51201135", "0.5119067", "0.5113647", "0.5110497", "0.51075697", "0.51070815", "0.51067704", "0.51035523", "0.51024216", "0.5097306", "0.5096213", "0.5086601", "0.50852084", "0.50852084", "0.50852084", "0.50852084", "0.50852084", "0.50852084", "0.50852084", "0.50852084", "0.50852084", "0.50720656", "0.5068047", "0.5065415", "0.50636554", "0.5062283", "0.5062283", "0.5062283", "0.5062283", "0.5062283" ]	0.68082035	0
Get the Color Swatch Name	public synchronized List<WebElement> list_ColorSwatchName() throws Exception { return utils.findElementsByLocator(driver, "PDP_ColorSwatchName", "\| PDP: Color swatch Name Not Displayed On PDP"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Override\n\tpublic String getColorName() {\n\t\treturn colorName;\n\t}", "public String getName() {\n Boolean color = this.getColor();\n if (!color) {\n return \"bQ\";\n }\n return \"wQ\";\n }", "public String getColouredName() {\n\t\tConfigManager crates = new ConfigManager(\"crates.yml\");\n\t\tcrates.get().getString(\"crates.\"+name.toLowerCase()+\".colouredName\");\n\t\treturn new String(ChatColor.translateAlternateColorCodes('&', crates.get().getString(\"crates.\"+name+\".colouredName\")));\n\t}", "@Override\n public String toString() {\n return color.name();\n }", "public final String getColorName(final Color c) {\n if (Color.BLUE.equals(c)) {\n return \"Blue\";\n } else if (Color.YELLOW.equals(c)) {\n return \"Jaune\";\n } else if (Color.RED.equals(c)) {\n return \"Red\";\n } else if (Color.PINK.equals(c)) {\n return \"Rose\";\n } else if (Color.GREEN.equals(c)) {\n return \"Vert\";\n }\n return null;\n }", "public String getColorString();", "private static String colorDisplayName(Color c) {\n if(c != null) {\n return formatHexString(c);\n } else {\n return null;\n }\n }", "public String toString() {\r\n\t\tString str = color.substring(0,1).toUpperCase()\r\n\t\t\t\t + color.substring(1) + \" \" \r\n\t\t\t\t + name.substring(0,1).toUpperCase()\r\n\t\t\t\t + name.substring(1);\r\n\t\treturn str;\r\n\t}", "@Override\n public String getColor() {\n return this.color.name();\n }", "public String name()\n {\n\tint index = indexOf();\n\treturn (index < 0 \|\| index >= 16 \|\| cConstantNameList == null) ? null : cConstantNameList[index];\n }", "public String dame_color() {\n\t\treturn color;\n\t}", "public Paint getColorTitle() {\n return bufColorTitle;\n }", "public static String getName(WidgetGlue glue) {\n\t\treturn String.format(\"WidgetGlue(%s, %s)\", glue.widget.getName(), glue.style);\n\t}", "public String getName()\r\n {\r\n return screenName;\r\n }", "String getColor();", "public String getScreenName()\n {\n return SCREEN_NAME;\n }", "private String determineNameUsingMSE() {\n\n ColorNames colorNames = new ColorNames();\n ArrayList<ColorName> colorList = colorNames.getColorList();\n\n ColorName closestMatch = null;\n int minMSE = Integer.MAX_VALUE;\n int mse;\n\n for (ColorName c : colorList) {\n mse = c.computeMSE(red, green, blue);\n if (mse < minMSE) {\n minMSE = mse;\n closestMatch = c;\n }\n }\n\n if (closestMatch != null) {\n return closestMatch.getName();\n } else {\n return null;\n }\n }", "@ApiModelProperty(value = \"Use one of the common predefined colors, alternatively provide an RGB value in the respective field.\")\n public NameEnum getName() {\n return name;\n }", "public String c() {\r\n switch (c) {\r\n case RED:\r\n return \"Red\";\r\n case BLUE:\r\n return \"Blue\";\r\n case YELLOW:\r\n return \"Yellow\";\r\n case GREEN:\r\n return \"Green\";\r\n default:\r\n return \"Colorless\";\r\n }\r\n }", "public String getScreenName() {\n\t\treturn restClient.getScreenName();\n\t}", "java.lang.String getInstanceName();", "public String Name() {\t\t\r\n\t\treturn BrickFinder.getDefault().getName();\r\n\t}", "String getBrickName();", "java.lang.String getMetricName();", "private String getName()\r\n {\r\n return JOptionPane.showInputDialog(frame, \"Choose a screen name:\", \"Screen name selection\",\r\n JOptionPane.PLAIN_MESSAGE);\r\n }", "public String getName() {\n\t\treturn JWLC.nativeHandler().wlc_output_get_name(this.to());\n\t}", "public String getColor() {\r\n\t\treturn \"Color = [\"+ ColorUtil.red(color) + \", \"+ ColorUtil.green(color) + \", \"+ ColorUtil.blue(color) + \"]\";\r\n\t}", "com.google.protobuf.ByteString getMetricNameBytes();", "public String getColorAsString() {\n\t\treturn getValue(CommonProperty.COLOR, AbstractLabels.DEFAULT_COLOR);\n\t}", "private String rainbowColoredName(String name) {\n\t\tStringBuilder rainbowName = new StringBuilder();\n\t\tfor (char c: name.toCharArray()) {\n\t\t\trainbowName.append(randomRainbowColor());\n\t\t\trainbowName.append(c);\n\t\t}\n\t\treturn rainbowName.toString();\n\t}", "public String getCharColor(String prefix) {\r\n\t\ttry {\r\n\t\t\tlastCharColor = bundle.getString(prefix + \".color\");\r\n\t\t} catch (MissingResourceException e) {\r\n\t\t}\r\n\t\treturn lastCharColor;\r\n\t}", "private static String getColorString(int index) {\n switch (index) {\n case 0: return \"None\";\n case 1: case 6: return \"Orange\";\n case 2: case 7: return \"Green\";\n case 3: return \"Blue\";\n case 4: case 14: return \"Yellow\";\n case 8: return \"Black\";\n default: return \"not a color\";\n }\n }", "String getTextStrokeColorAsString();", "protected Color getUptimeColor() {\n\t\tfinal long uptime = System.currentTimeMillis()\n\t\t\t\t- Activator.getDefault().getStartTime();\n\t\tif (uptime < 7200000)\n\t\t\treturn display.getSystemColor(SWT.COLOR_DARK_GREEN);\n\t\telse if (uptime < 14400000)\n\t\t\treturn display.getSystemColor(SWT.COLOR_BLUE);\n\t\telse\n\t\t\treturn display.getSystemColor(SWT.COLOR_RED);\n\t}", "public String getColor() {\n\t\treturn \"Elcolor del vehiculo es: \"+color; \n\t }", "public String showColor(){\r\n\t\tSystem.out.println(\"The color of this fruit is \" + color);\r\n\t\treturn color;}", "public String getColor()\n {\n return color;\n }", "public String getColor()\n {\n return color;\n }", "public String getColor() {\r\n return color;\r\n }", "public String toString()\n {\n return color.charAt(0) + \"Q\";\n }", "private Color generateColor() {\r\n\t\tint length = nameColor.size();\r\n\t\tif(length == 0) return colorArray[0];\r\n\t\t\r\n\t\tColor lastColor = nameColor.get(length-1);\r\n\t\tint lastColorIndex = 0;\r\n\t\tfor(int i = 0; i<colorArray.length; i++) {\r\n\t\t\tif(lastColor == colorArray[i]) {\r\n\t\t\t\tlastColorIndex = i;\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\t\tColor curColor = colorArray[(lastColorIndex+1)%3];\r\n\t\treturn curColor;\r\n\t}", "private String getColor(String tagName) {\n if (labelColor.containsKey(tagName)) {\n return labelColor.get(tagName);\n } else {\n Random random = new Random();\n // create a big random number - maximum is ffffff (hex) = 16777215 (dez)\n int nextInt = random.nextInt(256 * 256 * 256);\n // format it as hexadecimal string (with hashtag and leading zeros)\n String colorCode = String.format(\"#%06x\", nextInt);\n labelColor.put(tagName, colorCode);\n return labelColor.get(tagName);\n }\n }", "public static String friendlyName(Color color) {\n \t\tif (colorsToNames.containsKey(color))\n \t\t\treturn colorsToNames.get(color);\n \n \t\treturn color.getColorCode();\n \t}", "public String getName() {\r\n\t\treturn GDAssemblerUI.getText(UI_TEXT);\r\n\t}", "public String getColor(){\r\n return color;\r\n }", "public String getColor(){\n\t\treturn color;\n\t}", "public String getColorNum() {\n return (String)getAttributeInternal(COLORNUM);\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "String slotsFromColor(String color);", "public String getColor() { \n return color; \n }", "public char getSeekerColor() {\n return getCharProperty(\"RequestedColor\");\n }", "public String getColor() {\n return (String)getAttributeInternal(COLOR);\n }", "String getColour();", "public String getColor()\n {\n return this.color;\n }", "public String getColor() {\n return colorID;\n }", "public static final Color get(String name) {\n try {\n return cc.stringToColor(name); \n } catch (ColorConverter.ColorConversionException x) {\n System.err.println(x.getMessage()+\" defaulting to 'white'.\");\n return Color.white;\n } \n }", "public String getColor() {\r\n\t\treturn color;\r\n\t}", "String getSlingName();", "java.lang.String getGameName();", "java.lang.String getGameName();", "public String getName() \n\t{\n\t\treturn \"TurningPoint (\" + _period + \",\" + \n\t\t\t_minwin + \",\" + _maxwin + \",\" + _maxloss\n\t\t\t+ \")\";\n\t}", "public String getName() {\n \treturn metricMetadata.getName();\n }", "public String colorToLocate() {\n char targetColor;\n gameData = DriverStation.getInstance().getGameSpecificMessage();\n if(gameData.length() > 0) {\n switch (gameData.charAt(0)) {\n case 'B' :\n targetColor = 'R';\n break;\n case 'G' :\n targetColor = 'Y';\n break;\n case 'R' :\n targetColor = 'B';\n break;\n case 'Y' :\n targetColor = 'G';\n break;\n default :\n targetColor = '?';\n break;\n }\n } else {\n targetColor = '?';\n }\n return \"\"+targetColor;\n }", "public String getScreenName() {\n return screenName;\n }", "public String getColor() {\n\t\treturn color;\n\t}", "public String getColor() {\n\t\treturn color;\n\t}", "public String obtenColor() {\r\n return color;\r\n }", "public static String stageName(Stage s){\n return s.name();\n }", "public String getColor(){\n return this._color;\n }", "abstract String getColor();", "public String getName() {\n\tif (num_comp == 0)\n\t return(\"\");\n\treturn(comp[num_comp-1]);\n }", "BaseComponent getComponentName();", "KeyColor(String name){\n this.name = name;\n }", "@NoProxy\n @NoWrap\n @NoDump\n public String getColor() {\n return color;\n }", "public String getColor() {\n return this.color;\n }", "@Override // com.android.server.wm.ConfigurationContainer\n public String getName() {\n return \"Display \" + this.mDisplayId + \" name=\\\"\" + this.mDisplayInfo.name + \"\\\"\";\n }", "public String getScreenName() {\n\treturn this.screenName;\n }", "public String metricsScreenName() {\n return \"\";\n }", "@Override\n\tpublic String toString(){\n\t\tif(this.getColor()==1){\n\t\t\treturn \"wK\";\n\t\t}else{\n\t\t\treturn \"bK\";\n\t\t}\n\t}", "String displayName();", "String displayName();", "public static String get(Color color) {\n return cc.colorToString(color);\n }", "String getPlotterName();", "public String getColor(){\n return this.color;\n }", "@Override\r\n\tpublic String Color() {\n\t\treturn Color;\r\n\t}", "public String getName() {\n if (name == null && !nameExplicitlySet) {\n synchronized(this) {\n if (name == null && !nameExplicitlySet)\n name = constructComponentName();\n }\n }\n return name;\n }", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();" ]	[ "0.68217856", "0.6521246", "0.6466323", "0.6433821", "0.6408239", "0.6028095", "0.6012696", "0.60057926", "0.59727377", "0.5966951", "0.5876435", "0.5843203", "0.58404064", "0.58393914", "0.58208", "0.579161", "0.5766341", "0.5737004", "0.57261485", "0.57257736", "0.5662164", "0.5649985", "0.56422424", "0.5618568", "0.5608767", "0.55648535", "0.5551143", "0.5541503", "0.5534035", "0.5525965", "0.5518348", "0.55145955", "0.55125505", "0.551061", "0.5501512", "0.54959613", "0.5491979", "0.5491979", "0.54787385", "0.54784846", "0.5473575", "0.54672885", "0.5464603", "0.5462508", "0.5455779", "0.5454697", "0.54408807", "0.5437001", "0.5437001", "0.5437001", "0.5437001", "0.5437001", "0.5437001", "0.5437001", "0.5437001", "0.5428484", "0.54251236", "0.54159105", "0.5409933", "0.5406534", "0.53898245", "0.53861356", "0.5384737", "0.53838193", "0.53836924", "0.53806686", "0.53806686", "0.5376583", "0.5372198", "0.53700346", "0.53667974", "0.5356797", "0.5356797", "0.53545874", "0.5353536", "0.5349008", "0.5347065", "0.53448826", "0.5343934", "0.533911", "0.53362757", "0.533617", "0.5332369", "0.53215593", "0.5311877", "0.5310015", "0.53053737", "0.53053737", "0.53022295", "0.5299101", "0.52939034", "0.52918667", "0.52824277", "0.5281679", "0.5281679", "0.5281679", "0.5281679", "0.5281679", "0.5281679", "0.5281679" ]	0.5670982	20
Get the Size Swatch	public synchronized List<WebElement> list_SizeSwatch() throws Exception { if (Utils.isDeviceMobile() && !Utils.brand.equals("LGFP")) return utils.findElementsByLocator(driver, "PDP_Lnk_MB_SizeSwatch_options", "\| PDP: Size not present"); else if (Utils.isDeviceMobile() && Utils.brand.equals("LGFP")) return utils.findElementsByLocator(driver, "MBL_SizeSwatch_LG", "\| PDP: Size not present"); else return utils.findElementsByLocator(driver, "PDP_Lnk_SizeSwatch", "\| PDP: Size not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "double getSize();", "int getCurrentSize();", "public Size getSize() {\n return size;\n }", "public double getSize() \n {\n return size;\n }", "public long getSize()\n {\n return getLong(\"Size\");\n }", "public long getSize() {\n return size.get();\n }", "@Override\n public com.gensym.util.Structure getSizeInWorkspace() throws G2AccessException {\n java.lang.Object retnValue = getAttributeValue (SystemAttributeSymbols.SIZE_IN_WORKSPACE_);\n return (com.gensym.util.Structure)retnValue;\n }", "public double getSize() {\n return size_;\n }", "long getSize();", "public double getSize()\n\t{\n\t\treturn size;\n\t}", "public String getSize() {\n return size;\n }", "public String getSize() {\n return size;\n }", "public long estimateSize() {\n/* 1448 / return this.est;\n/ / }", "public String getSize() {\r\n return size;\r\n }", "public double getSize() {\n return size_;\n }", "public RMSize getSize() { return new RMSize(getWidth(), getHeight()); }", "public String getServingSize() throws ClassCastException;", "public long getSize() {\n return size;\n }", "public FireSize getSize() {\n return size;\n }", "public long getSize();", "public long getSize() {\n return size;\n }", "public long getSize() {\n return size;\n }", "public long getSize() {\n return size;\n }", "public long getSize() {\n return size;\n }", "public static int getSIZE() {\n return SIZE;\n }", "public long getSize() {\r\n return size;\r\n }", "public float getSize()\n {\n return size;\n }", "public Number getSizeSno() {\n return (Number)getAttributeInternal(SIZESNO);\n }", "public float getSize() {\n return size;\n }", "public final long getSize() { return size; }", "public long estimateSize() {\n/ 1338 / return this.est;\n/ / }", "public long estimateSize() {\n/ 1558 / return this.est;\n/ / }", "public static byte getSize() {\n return SIZE;\n }", "public double getMySize() {\n\t\treturn size;\n\t}", "@JsonIgnore public String getServingSize() {\n return (String) getValue(\"servingSize\");\n }", "public double sizeMeters() {\n return this.size_meters;\n }", "VideoSize getSize() {\n return size;\n }", "public String getSize() { \r\n return SIZE[size]; }", "@Element \n public String getSize() {\n return size;\n }", "public static Dimension getDisplaySize() {\n\t\tString spec = System.getProperty(\"display.index\");\n\t\tint sizeIndex = MathHelper.parseIntDefault(spec, DISPLAY_SIZE_INDEX);\n\n\t\ttry {\n\t\t\treturn displaySizes.get(sizeIndex);\n\t\t} catch (IndexOutOfBoundsException e) {\n\t\t\tlogger.error(\"Invalid client size index: \" + spec + \" (\" + sizeIndex + \")\", e);\n\t\t}\n\n\t\treturn displaySizes.get(DISPLAY_SIZE_INDEX);\n\t}", "public long estimateSize() {\n/ 1668 / return this.est;\n/ */ }", "public long getSize() {\r\n\t\treturn size;\r\n\t}", "public long getSize() {\n\t\treturn size;\n\t}", "int getSize() {\n return size;\n }", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize();", "int getSize ();", "public float getSize() {\n\t\treturn size;\n\t}", "default int getSquareSize() {\n return java.awt.Toolkit.getDefaultToolkit().getScreenSize().width / 20;\n }", "public TSizeInBytes getSize() {\n\n\t\treturn size;\n\t}", "double getStepSize();", "long storageSize();", "short getPaperSize();", "public java.lang.String getSIZE() {\n return SIZE;\n }", "Dimension getSize();", "Dimension getSize();", "public Integer getSize() {\n return size;\n }", "public int getScreenSize() {\r\n\t\treturn SCREEN_SIZE;\r\n\t}", "public Point getSize() {\n\t\treturn p_screenSize;\n\t}", "public double getSize() {\n return getElement().getSize();\n }", "public int getSetSize(){ return Integer.parseInt(setSize.getText()); }", "double getStartW();", "int getSize() {\n return size;\n }", "public int getSize() {\n return size;\n }", "public Point getSize();", "public int getSize() { return size; }", "public int GetSize() {\n\t\tif(this.V == 0) {\n\t\t\t\n\t\t\t// Read from settings file\n\t\t\ttry {\n\t\t\t\tBufferedReader br = new BufferedReader(new FileReader(\"settings.txt\"));\n\t\t\t\tString line;\n\t\t\t\tif((line = br.readLine()) != null) {\n\t\t\t\t\tthis.V = Integer.parseInt(line.split(\" \")[1]);\n\t\t\t\t}\n\t\t\t} catch(IOException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t\t\n\t\t}\n\t\treturn this.V;\n\t}", "public Dimension getSize() {\r\n\t\treturn this.size;\r\n\t}", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "public int getSize();", "@Override\n\tpublic double getSize() {\n\t\treturn Math.sqrt(getMySize())/2;\n\t}", "public int getSize() {\n\n return size;\n }", "public T getStepSize() {\r\n return this.stepSize;\r\n }", "@JSProperty(\"size\")\n double getSize();", "@Override\n public final synchronized TerminalSize getTerminalSize() throws IOException {\n TerminalSize size = findTerminalSize();\n onResized(size);\n return size;\n }", "public int getSize(){\n return size;\n }", "public int getSize(){\n return size;\n }", "public int getSize(){\n return size;\n }", "public int getSize()\n {\n return size;\n }", "public int getSize()\n {\n return size;\n }", "public int getSize()\n {\n return size;\n }", "public int getSize() {\n\treturn sizeNumber;\r\n}" ]	[ "0.64155805", "0.64098996", "0.622103", "0.62082386", "0.61748517", "0.6140642", "0.6138795", "0.6118419", "0.61131877", "0.6093482", "0.60625976", "0.60625976", "0.6061015", "0.6049744", "0.60300857", "0.6018302", "0.6010782", "0.599273", "0.59876233", "0.59497976", "0.592698", "0.592698", "0.592698", "0.592698", "0.5920351", "0.59189624", "0.5892744", "0.5864277", "0.5860743", "0.58455235", "0.5843045", "0.58339906", "0.5826507", "0.58173203", "0.58170277", "0.5813111", "0.58071667", "0.5799583", "0.5797045", "0.57926995", "0.5790036", "0.5789211", "0.5777193", "0.57516646", "0.5749887", "0.5749887", "0.5749887", "0.5749887", "0.5749887", "0.5749887", "0.5749887", "0.5749887", "0.5749887", "0.5749887", "0.5749887", "0.5749887", "0.5749887", "0.5747575", "0.5738124", "0.5729817", "0.5717141", "0.5713212", "0.56983376", "0.56913924", "0.56887215", "0.5654412", "0.5654412", "0.5646575", "0.56461424", "0.56364304", "0.56322217", "0.5630814", "0.5626543", "0.56248933", "0.56214255", "0.5616263", "0.5615814", "0.5614666", "0.5605723", "0.5604675", "0.5604675", "0.5604675", "0.5604675", "0.5604675", "0.5604675", "0.5604675", "0.5604675", "0.5604675", "0.5604675", "0.5597739", "0.5597031", "0.5593044", "0.5587561", "0.5586348", "0.55821353", "0.55821353", "0.55821353", "0.55800885", "0.55800885", "0.55800885", "0.55757684" ]	0.0	-1
Get the ADD TO BAG button	public synchronized WebElement pdp_btn_AddToBag() throws Exception { return utils.findElementByLocator(driver, "PDP_btn_AddToBag", "\| PDP: Add To Bag not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@NotNull\n TBItemButton addButton() {\n @NotNull TBItemButton butt = new TBItemButton(myItemListener, myStats != null ? myStats.getActionStats(\"simple_button\") : null);\n myItems.addItem(butt);\n return butt;\n }", "public JButton getAddBtn() {\n\t\treturn addBtn;\n\t}", "Button getBtn();", "public JButton getAddBtn() {\n return addBtn;\n }", "private JButton getAddButton() {\n if (addButton == null) {\n addButton = new JButton();\n addButton.setText(\"Add\");\n addButton.setToolTipText(\"Add new notification settings for a site\");\n addButton.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n addBalloonSettings();\n }\n });\n }\n return addButton;\n }", "public javax.swing.JButton getAddButton() {\n return addButton;\n }", "public JButton getGoBtn() {\n\t\treturn go;\n\t}", "public JButton getUpLevelButton() {\n return getNoTextButton(0);\n }", "private JButton getBtnGo() {\r\n\t\tif (btnGo == null) {\r\n\t\t\tbtnGo = new JButton();\r\n\t\t\tbtnGo.setText(\"Go\");\r\n\t\t\tbtnGo.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tgoTo(txtAddress.getText(), HistoryManagement.CLEAR);\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn btnGo;\r\n\t}", "public JButton getBoton1(){\n return this.perfilBT;\n }", "public JButtonOperator btAddFromProject() {\n if (_btAddFromProject==null) {\n _btAddFromProject = new JButtonOperator(this, \"Add from Project...\"); // NOI18N\n }\n return _btAddFromProject;\n }", "public JButtonOperator btAddFromLibrary() {\n if (_btAddFromLibrary==null) {\n _btAddFromLibrary = new JButtonOperator(this, \"Add from Library...\"); // NOI18N\n }\n return _btAddFromLibrary;\n }", "protected void addActivePathToolbarButton ()\n {\n\n }", "private JButton getAddQuantityCardButton() {\n\t\tif (addQuantityCardButton == null) {\n\t\t\taddQuantityCardButton = new JButton();\n\t\t\taddQuantityCardButton.setText(\"Добавить\");\n\t\t\taddQuantityCardButton.addActionListener(new java.awt.event.ActionListener() {\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\n\t\t\t\t\tDefaultListModel model = (DefaultListModel) functionList.getModel();\n\t\t\t\t\tParseElement el = new ParseElement((ListElement) cardType.getSelectedItem(), (String)condition.getSelectedItem(), (String)value.getSelectedItem());\n\n\t\t\t\t\t((DefaultListModel) functionList.getModel()).add(model.getSize(), el);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn addQuantityCardButton;\n\t}", "public JButton getPOSBtn() {\r\n\t\tthis.posBtn = new JButton(\"POS File\");\r\n\t\tthis.posBtn.addActionListener(this);\r\n\t\tthis.posBtn.setEnabled(ComponentData.getPosBtnIsEnabled());\r\n\t\treturn this.posBtn;\r\n\t}", "public boolean getBButton() {\n\t\treturn getRawButton(B_Button);\n\t}", "public MyButton getBoton() {\n\t\treturn boton;\n\t}", "private JButton getBtnForward() {\r\n\t\tif (btnForward == null) {\r\n\t\t\tbtnForward = new JButton();\r\n\t\t\tbtnForward.setText(\">\");\r\n\t\t\tbtnForward.setToolTipText(\"Forward\");\r\n\t\t\tbtnForward.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tif(historyIndex < history.size() - 1) {\r\n\t\t\t\t\t\thistoryIndex ++;\r\n\t\t\t\t\t\tgoTo(history.get(historyIndex), HistoryManagement.NAVIGATE);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn btnForward;\r\n\t}", "private JButton getBtnBack() {\r\n\t\tif (btnBack == null) {\r\n\t\t\tbtnBack = new JButton();\r\n\t\t\tbtnBack.setText(\"<\");\r\n\t\t\tbtnBack.setToolTipText(\"Back\");\r\n\t\t\tbtnBack.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tif(historyIndex > 0) {\r\n\t\t\t\t\t\thistoryIndex --;\r\n\t\t\t\t\t\tgoTo(history.get(historyIndex), HistoryManagement.NAVIGATE);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn btnBack;\r\n\t}", "private JButton getAddButton() {\n if (addButton == null) {\n addButton = new JButton();\n addButton.setText(\"Add User\");\n addButton.setIcon(PortalLookAndFeel.getAddIcon());\n addButton.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n addUser();\n }\n });\n }\n return addButton;\n }", "public boolean getBButton() {\n\t\treturn getRawButton(B_BUTTON);\n\t}", "public JButton getBtnBonus() {\n return btnBonus;\n }", "public JButton getBoton() {\n return boton;\n }", "public JoystickButton getButtonB() {\n\t\treturn button[1];\n\t}", "public JButton getAddButton(){ return addCustomTraitButton; }", "public abstract String getManipulatorButtonLabel();", "public static JButton getIncrBet(){\n\t\treturn incrBet;\n\t}", "private JButton getAfterButton() {\r\n\t\tif (afterButton == null) {\r\n\t\t\tafterButton = new JButton();\r\n\t\t\tafterButton.setLocation(new Point(660, 480));\r\n\t\t\tafterButton.setText(\"Next Page\");\r\n\t\t\tafterButton.setSize(new Dimension(120, 30));\r\n\t\t}\r\n\t\treturn afterButton;\r\n\t}", "private JButton getJButton2() {\n\t\tif (import_button == null) {\n\t\t\timport_button = new JButton();\n\t\t\timport_button.setText(Locale.getString(\"IMPORT\"));\n\t\t\timport_button.setMnemonic(java.awt.event.KeyEvent.VK_I);\n\t\t}\n\t\treturn import_button;\n\t}", "private JButton getAddIncludeConditionButton() {\n\t\tif (addIncludeConditionButton == null) {\n\t\t\taddIncludeConditionButton = new JButton();\n\t\t\taddIncludeConditionButton.setText(\"Добавить\");\n\t\t\taddIncludeConditionButton.addActionListener(new java.awt.event.ActionListener() {\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\n\t\t\t\t\tDefaultListModel model = (DefaultListModel) functionList.getModel();\n\t\t\t\t\tOneCard el = new OneCard((ListElement)getCardValue().getSelectedItem(), (ListElement) getCardColor().getSelectedItem());\n\t\t\t\t\t((DefaultListModel) functionList.getModel()).add(model.getSize(), el);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn addIncludeConditionButton;\n\t}", "private JButton getCmdAdd() {\r\n\t\tif (cmdAdd == null) {\r\n\t\t\tcmdAdd = new JButton();\r\n\t\t\tcmdAdd.setText(\"\");\r\n\t\t\tcmdAdd.setToolTipText(\"Add single proxy\");\r\n\t\t\tcmdAdd.setIcon(new ImageIcon(getClass().getResource(\"/add.png\")));\r\n\t\t\tcmdAdd.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\taddProxy = getJDialog();\r\n\t\t\t\t\taddProxy.pack();\r\n\t\t\t\t\taddProxy.setSize(new Dimension(231, 144));\r\n\t\t\t\t\taddProxy.setLocationRelativeTo(jContentPane);\r\n\t\t\t\t\taddProxy.setVisible(true);\r\n\t\t\t\t}\r\n\r\n\t\t\t});\r\n\r\n\t\t}\r\n\t\treturn cmdAdd;\r\n\t}", "private RButton getCopyButton() {\n if (copyButton == null) {\n copyButton = new RButton();\n copyButton.setText(\"<%= ivy.cms.co(\\\"/Buttons/copy\\\") %>\");\n copyButton.setName(\"copyButton\");\n }\n return copyButton;\n }", "public JButtonOperator btBrowse() {\n if (_btBrowse==null) {\n _btBrowse = new JButtonOperator(this, \"Browse...\");//TODO I18N + another panel?\n }\n return _btBrowse;\n }", "public JButtonOperator btMoveUp() {\n if (_btMoveUp==null) {\n String moveUp = Bundle.getString(\"org.netbeans.modules.java.freeform.ui.Bundle\", \"LBL_ClasspathPanel_Move_Up\");\n _btMoveUp = new JButtonOperator(this, moveUp);// I18N\n }\n return _btMoveUp;\n }", "@Override\n\tpublic ToolStripButton getAddProjectButton() {\n\t\treturn addProjectButton;\n\t}", "public JButton getAddModifyButton() {\n return addModifyButton;\n }", "public JButton getBookingViewButton() {\n return bookingButton;\n }", "protected JButton createAddButton() {\n JButton butAdd = new JButton();\n butAdd.setIcon(new ImageIcon(getClass().getClassLoader().getResource(\"image/add.jpg\")));\n butAdd.setToolTipText(\"Add a new item\");\n butAdd.addActionListener(new AddItemListener());\n return butAdd;\n }", "public javax.swing.JButton getBGenerate() {\n\t\treturn BGenerate;\n\t}", "private JButton getJbtnPreviousStep() {\n\t\tif (jbtnPreviousStep == null) {\n\t\t\tjbtnPreviousStep = new JButton();\n\t\t\tjbtnPreviousStep.setHorizontalAlignment(SwingConstants.CENTER);\n\t\t\tjbtnPreviousStep.setHorizontalTextPosition(SwingConstants.TRAILING);\n\t\t\tjbtnPreviousStep.setIcon(new ImageIcon(getClass().getResource(\"/org/measureyourgradient/images/back.png\")));\n\t\t\tjbtnPreviousStep.setText(\" Previous Step\");\n\t\t\tjbtnPreviousStep.setSize(new Dimension(178, 34));\n\t\t\tjbtnPreviousStep.setLocation(new Point(6, 576));\n\t\t\tjbtnPreviousStep.setActionCommand(\"Previous Step\");\n\t\t}\n\t\treturn jbtnPreviousStep;\n\t}", "private JButton getJButton1() {\n\t\tif (edit_button == null) {\n\t\t\tedit_button = new JButton();\n\t\t\tedit_button.setMnemonic(java.awt.event.KeyEvent.VK_E);\n\t\t\tedit_button.setText(Locale.getString(\"EDIT\"));\n\t\t}\n\t\treturn edit_button;\n\t}", "public Point getAddToListButtonLoc(){\r\n\t\treturn button.getLocationOnScreen();\r\n\t}", "public JButtonOperator btAddFromJAR() {\n if (_btAddFromJAR==null) {\n _btAddFromJAR = new JButtonOperator(this, \"Add from JAR...\"); // NOI18N\n }\n return _btAddFromJAR;\n }", "public JButton getCapturedBtn() {\r\n\t\tthis.capturedBtn = new JButton(\"Captured File\");\r\n\t\tthis.capturedBtn.addActionListener(this);\r\n\t\tthis.capturedBtn.setEnabled(ComponentData.getCapturedBtnIsEnabled());\r\n\t\treturn this.capturedBtn;\r\n\t}", "private JButton getCopyButton() {\n if (copyButton == null) {\n copyButton = new JButton();\n copyButton.setText(\"Copy\");\n copyButton.setToolTipText(\"Copy settings from an existing site to a new site\");\n copyButton.setActionCommand(\"Copy\");\n copyButton.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n copySelectedBalloonSettings();\n }\n });\n }\n return copyButton;\n }", "private JButton getDiffButton() {\n if (diffButton == null) {\n diffButton = new JButton();\n diffButton.setText(\"Diff\");\n diffButton.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n diff();\n }\n });\n }\n return diffButton;\n }", "private JButton getBoton2() {\r\n\t\tif (boton2 == null) {\r\n\t\t\tboton2 = new JButton();\r\n\t\t\tboton2.setBounds(0, 130, 479, 65);\r\n\t\t\tboton2.setText(ResourceBundle.getBundle(\"Etiquetas\").getString(\"Register\"));\r\n\t\t\tboton2.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\t@Override\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tRegisterGUI reg = new RegisterGUI(getBusinessLogic());\r\n\t\t\t\t\treg.setVisible(true);\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn boton2;\r\n\t}", "private JButton getJButton() {\n\t\tif (new_button == null) {\n\t\t\tnew_button = new JButton();\n\t\t\tnew_button.setText(Locale.getString(\"NEW\"));\n\t\t\tnew_button.setMnemonic(java.awt.event.KeyEvent.VK_N);\n\t\t\tnew_button.addActionListener(new java.awt.event.ActionListener() { \n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) { \n\t\t\t\t\tSystem.out.println(\"actionPerformed()\"); // TODO Auto-generated Event stub actionPerformed()\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn new_button;\n\t}", "public HTMLInputElement getElementBtnGrabar() { return this.$element_BtnGrabar; }", "private JButton getLinkButton() {\r\n\t\tif (linkButton == null) {\r\n\t\t\tlinkButton = new JButton(); \r\n\t\t\tlinkButton.setIcon(new ImageIcon(getClass().getResource(\"/img/icon/discrete_attribute.gif\")));\r\n\t\t\tlinkButton.setPreferredSize(new Dimension(23, 23));\r\n\t\t\tlinkButton.setBounds(new Rectangle(44, 1, 23, 20));\r\n\t\t\tlinkButton.setToolTipText(\"超链接编辑\");\r\n\t\t\tlinkButton.setActionCommand(\"linkButton\");\r\n\t\t\tlinkButton.addActionListener(this.buttonAction);\r\n\t\t\t\r\n\t\t}\r\n\t\treturn linkButton;\r\n\t}", "private JButton getCmdAddT() {\r\n\t\tif (cmdAddT == null) {\r\n\t\t\tcmdAddT = new JButton();\r\n\t\t\tcmdAddT.setText(\"\");\r\n\t\t\tcmdAddT.setActionCommand(\"LoadF\");\r\n\t\t\tcmdAddT.setToolTipText(\"Import proxy list from file. The list should be ip:port or ip port.\");\r\n\t\t\tcmdAddT.setIcon(new ImageIcon(getClass().getResource(\"/Import-48.png\")));\r\n\t\t\tcmdAddT.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tString filename = getFilename();\r\n\r\n\t\t\t\t\tif (filename != null)\r\n\t\t\t\t\t\taddRows( p.getProxyFromFile(filename) );\r\n\r\n\r\n\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn cmdAddT;\r\n\t}", "public JoystickButton getButtonBack() {\n\t\treturn button[6];\n\t}", "private JButton getJButtonInto() {\r\n\t\tif (jButtonInto == null) {\r\n\t\t\tjButtonInto = new JButton();\r\n\t\t\tjButtonInto.setMargin(new Insets(2, 5, 2, 5));\r\n\t\t\tjButtonInto.setText(\"数据入库\");\r\n\t\t\tjButtonInto.setBounds(new Rectangle(512, 517, 70, 23));\r\n\t\t\tjButtonInto.addMouseListener(new MouseAdapter() {\r\n\t\t\t\tpublic void mouseClicked(java.awt.event.MouseEvent e) {\r\n\t\t\t\t\tDataIntoGui.this.setVisible(false);\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn jButtonInto;\r\n\t}", "@Override\r\n\tpublic ButtonInterfaceRichard getButton() {\n\t\treturn move;\r\n\t}", "public ButtonTag GetButtonTag(){\n if(buttonTag != null) {\n return ButtonTag.valueOf(buttonTag);\n }\n else{\n return null;\n }\n }", "public void clickAddButtonInStockTab(){\r\n\t\t\r\n\t\tMcsElement.getElementByXpath(driver, \"//div[contains(@class,'x-border-layout-ct') and not(contains(@class,'x-hide-display'))]//div[contains(@class,'x-panel-bbar')]//button[contains(text(),'Add..')]\").click();\r\n\t\t\r\n\t\t//McsElement.getElementByAttributeValueAndParentElement(driver, \"div\", \"@class\", \"x-panel-bbar\", \"button\", \"text()\", \"Add...\", true, true).click();\r\n\t\t\r\n\t\tReporter.log(\"Clicked on Add button in Stock Tab\", true);\r\n\t}", "private JButton getNavratButton() {\n\t\tif (navratButton == null) {\n\t\t\tnavratButton = new JButton();\n\t\t\tnavratButton.setText(\"Návrat\");\n\t\t\tnavratButton.setBounds(new Rectangle(8, 17, 74, 25));\n\t\t\tnavratButton.addActionListener(new java.awt.event.ActionListener() {\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\n\n\t\t\t\t\tanalyzaPanel.setVisible(false);\n\t\t\t\t\tmenuPanel.setVisible(true);\n\t\t\t\t\tspodnyPanel.setVisible(false);\n\t\t\t\t\tLinkedList<String> temp = new LinkedList<String>();\n\t\t\t\t\ttemp.add(\"\");\n\t\t\t\t\t// temp.add(\"GRATULUJEME!!!!\");\n\t\t\t\t\t// temp.add(\"---------------\");\n\t\t\t\t\t// temp.add(\"Vaša úroveň je:\");\n\t\t\t\t\t// temp.add(\"----- 2 -------\");\n\n\t\t\t\t\tanalyzaList.setListData(temp.toArray());\n\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn navratButton;\n\t}", "public String GetButtonText() {\n\t\treturn getWrappedElement().getText();\n\t}", "private JButton getPreButton() {\r\n\t\tif (preButton == null) {\r\n\t\t\tpreButton = new JButton();\r\n\t\t\tpreButton.setText(\"Prev Page\");\r\n\t\t\tpreButton.setSize(new Dimension(120, 30));\r\n\t\t\tpreButton.setLocation(new java.awt.Point(10,480));\r\n\t\t}\r\n\t\treturn preButton;\r\n\t}", "public List<Widget> getAchievementButtons();", "public boolean getAButton() {\n\t\treturn getRawButton(A_BUTTON);\n\t}", "public JButton getReservationButton() {\n return reservationButton;\n }", "public JButton getAnsBrowseBtn() {\r\n\t\treturn ansBrowseBtn;\r\n\t}", "public JButton getBoutonNouveau() {\n\t\treturn this.nouveau;\n\t}", "public boolean getAButton() {\n\t\treturn getRawButton(A_Button);\n\t}", "private void createButton(){\n addButton();\n addStartButton();\n }", "private JButton getJButton() {\r\n\t\tif (jButton == null) {\r\n\t\t\tjButton = new JButton();\r\n\t\t\tjButton.setBounds(new Rectangle(172, 11, 71, 26));\r\n\t\t\tjButton.setText(\"Button\");\r\n\t\t\tjButton.addActionListener(new MultiHighlight(jTextArea, \"aeiouAEIOU\"));\r\n\t\t}\r\n\t\treturn jButton;\r\n\t}", "public String getAddButtonCaption() {\r\n\t\tif (_addButton == null)\r\n\t\t\treturn null;\r\n\t\telse\r\n\t\t\treturn _addButton.getDisplayName();\r\n\t}", "public JButtonOperator btMoveDown() {\n if (_btMoveDown==null) {\n String moveDown = Bundle.getString(\"org.netbeans.modules.java.freeform.ui.Bundle\", \"LBL_ClasspathPanel_Move_Down\");\n _btMoveDown = new JButtonOperator(this, moveDown);// I18N\n }\n return _btMoveDown;\n }", "public JButtonOperator btRemove() {\n if (_btRemove==null) {\n _btRemove = new JButtonOperator(this, \"Remove...\"); // NOI18N\n }\n return _btRemove;\n }", "private JButton getBBuscar() {\r\n if (bBuscar == null) {\r\n bBuscar = new JButton();\r\n bBuscar.setBounds(new Rectangle(340, 20, 20, 20));\r\n bBuscar.setText(\"...\");\r\n bBuscar.addActionListener(new java.awt.event.ActionListener() {\r\n public void actionPerformed(java.awt.event.ActionEvent e) {\r\n buscarGrupo();\r\n }\r\n });\r\n }\r\n return bBuscar;\r\n }", "public ToggleButton getCreateButton() {\n\t\treturn myCreateWorkSpaceButton;\n\t}", "public JButton getUncapturedBtn() {\r\n\t\tthis.uncapturedBtn = new JButton(\"Uncaptured File\");\r\n\t\tthis.uncapturedBtn.addActionListener(this);\r\n\t\tthis.uncapturedBtn.setEnabled(ComponentData.getUncapturedBtnIsEnabled());\r\n\t\treturn this.uncapturedBtn; \r\n\t}", "private JButton getBGuardar() {\r\n if (bGuardar == null) {\r\n bGuardar = new JButton();\r\n bGuardar.setBounds(new Rectangle(10, 200, 100, 30));\r\n bGuardar.setText(\"Guardar\");\r\n bGuardar.addActionListener(new java.awt.event.ActionListener() {\r\n public void actionPerformed(java.awt.event.ActionEvent e) {\r\n guardarGrupo(); \r\n }\r\n });\r\n }\r\n return bGuardar;\r\n }", "private static GetButtonTemResponse Getbutton(GetButtonTem log) {\r\n com.wsclient.EJBWebServicev20_Service service = new com.wsclient.EJBWebServicev20_Service();\r\n com.wsclient.EJBWebServicev20 port = service.getEJBWebServicev20Port();\r\n return port.getButtonTempW(log);\r\n }", "public JButton getBoutonRetour() {\n\t\treturn this.retour;\n\t}", "public JButtonOperator btMoveUp() {\n if (_btMoveUp==null) {\n _btMoveUp = new JButtonOperator(this, \"Move Up\"); // NOI18N\n }\n return _btMoveUp;\n }", "public JButton getNewGameButton() {\n\t\treturn newGameButton;\n\t}", "public NinePatch getButtonArrow_pressed()\r\n\t{\r\n\t\treturn getRaw(IMGS_ROOT+\"/button_arrow_pressed.9.png\");\r\n\t}", "@Override\n\tprotected void initAddButton() {\n addBtn = addButton(\"newBtn\", TwlLocalisationKeys.ADD_BEAT_TYPE_TOOLTIP, new Runnable() {\n\t\t\t\t@Override\n\t\t\t\tpublic void run() {\n\t\t\t\t\tnew AddEditBeatTypePanel(true, null, BeatTypesList.this).run(); // adding\n\t\t\t\t}\n\t }); \t\t\n\t}", "public void makeGetRPButton() {\r\n JButton getRP = new JButton(\"Check if a champion can be purchased with Riot Points\");\r\n new Button(getRP, main);\r\n// getRP.setAlignmentX(Component.LEFT_ALIGNMENT);\r\n// getRP.setPreferredSize(new Dimension(2500, 100));\r\n// getRP.setFont(new Font(\"Arial\", Font.PLAIN, 40));\r\n getRP.addActionListener(new ActionListener() {\r\n @Override\r\n public void actionPerformed(ActionEvent e) {\r\n getRiotPointsBalanceDifference();\r\n }\r\n });\r\n// main.add(getRP);\r\n }", "private void newOrderbutton(String txt) {\n Button btn = new Button(txt);\n newBtnStyle(btn);\n\n boolean containsbtn = false;\n btn.setId(txt);\n for (Node node : activeOrders.getChildren()) {\n String button = ((Button) node).getText();\n if (txt.equals(button))\n containsbtn = true;\n\n }\n if (!containsbtn) {\n activeOrders.getChildren().add(btn);\n\n changeActive(btn);\n } else {\n //Alert clerc about the amount to pay back.\n Alert alert = new Alert(Alert.AlertType.INFORMATION);\n alert.setTitle(\"Nyt bord\");\n alert.setHeaderText(\"Bord: \" + txt + \" eksistere allerede\");\n alert.showAndWait();\n }\n }", "public JButton getReturnButton() {\n return this.retour;\n }", "public JButton getButton(){\n\t\treturn item;\n\t}", "protected Component createNextButton() {\n JButton b = new BasicArrowButton(SwingConstants.NORTH);\n b.addActionListener(nextButtonHandler);\n b.addMouseListener(nextButtonHandler);\n return b; }", "public WebElement get123BankingCancelBtn() {\n\t\tWebDriverWait wait = new WebDriverWait(driver, 20);\n\t\treturn wait.until(ExpectedConditions.elementToBeClickable(findElement(\n\t\t\t\trepositoryParser, PAGE_NAME, \"123BankingCancelBtn\")));\n\t}", "public Button getButton(String key) {\n return buttons.get(key);\n }", "private JButton getBtnKey(int i) {\r\n\t\tif (btnKey == null) {\r\n\t\t\tbtnKey = new JButton[12];\r\n\t\t}\r\n\t\t\r\n\t\tif (btnKey[i] == null) {\r\n\t\t\tbtnKey[i] = new JButton(String.valueOf(i + 1));\r\n\t\t\tswitch(i) {\r\n\t\t\t\tcase KEY_AST:\r\n\t\t\t\t\tbtnKey[i].setText(\"*\");\r\n\t\t\t\t\tbreak;\r\n\t\t\t\tcase KEY_0:\r\n\t\t\t\t\tbtnKey[i].setText(\"0\");\r\n\t\t\t\t\tbreak;\r\n\t\t\t\tcase KEY_POUND:\r\n\t\t\t\t\tbtnKey[i].setText(\"#\");\r\n\t\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\tbtnKey[i].addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\ttxtInput.setText(txtInput.getText() + ((JButton)e.getSource()).getText());\r\n\t\t\t\t}\r\n\t\t\t});\r\n\r\n\t\t}\r\n\t\t\r\n\t\treturn btnKey[i];\r\n\t}", "public Button getButton() {\n\t\treturn button;\n\t}", "public abstract List<GuiButton> getButtonList();", "public static Button getAddButton(SectionPart part) {\r\n\t\tif (part != null && part instanceof ExportSectionPart) {\r\n\t\t\tExportSectionPart ePart = (ExportSectionPart) part;\r\n\t\t\treturn ePart.getAddButton();\r\n\t\t}\r\n\t\treturn null;\r\n\t}", "public void getSignUpButton() {\n mSignUpButton = (Button) mView.findViewById(R.id.accounts_sign_up_btn);\n mSignUpButton.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View view) {\n createFirebaseAccountsUI();\n }\n });\n }", "@Override\n public void onBoomButtonClick(int index) {\n }", "private org.gwtbootstrap3.client.ui.AnchorButton get_f_AnchorButton45() {\n return build_f_AnchorButton45();\n }", "protected Component createPreviousButton() {\n JButton b = new BasicArrowButton(SwingConstants.SOUTH);\n b.addActionListener(previousButtonHandler);\n b.addMouseListener(previousButtonHandler);\n return b; }", "private JButton createButton(final Box addTo, final String label) {\n JButton button = new JButton(label);\n button.setActionCommand(label);\n button.addActionListener(this);\n addTo.add(button);\n return button;\n }", "private void addBackwardButton() {\n\t\tbackwardButton = new EAdSimpleButton(EAdSimpleButton.SimpleButton.BACKWARD);\n\t\tbackwardButton.setEnabled(false);\n toolPanel.add(backwardButton);\n\t\tbackwardButton.addActionListener(new ActionListener() {\n\t\t\t@Override\n\t\t\tpublic void actionPerformed(ActionEvent arg0) {\n\t\t\t\tcontroller.getNavigationController().goBackward();\n\t\t\t}\n\t\t});\n\t}", "public JButton getBtnRemove() {\r\n\t\treturn btnRemove;\r\n\t}", "public PushButton getDeleteButton() {\r\n\t\tif (btnDelete == null) {\r\n\t\t\tbtnDelete = new PushButton(\r\n\t\t\t\t\tnew Image(GuiResources.INSTANCE.algebra_delete()));\r\n\t\t\tbtnDelete.getUpHoveringFace().setImage(new Image(\r\n\t\t\t\t\tGuiResources.INSTANCE.algebra_delete_hover()));\r\n\t\t\tbtnDelete.addStyleName(\"XButton\");\r\n\t\t\tbtnDelete.addStyleName(\"shown\");\r\n\t\t\tbtnDelete.addMouseDownHandler(new MouseDownHandler() {\r\n\t\t\t\t@Override\r\n\t\t\t\tpublic void onMouseDown(MouseDownEvent event) {\r\n\t\t\t\t\tif (event\r\n\t\t\t\t\t\t\t.getNativeButton() == NativeEvent.BUTTON_RIGHT) {\r\n\t\t\t\t\t\treturn;\r\n\t\t\t\t\t}\r\n\t\t\t\t\tevent.stopPropagation();\r\n\t\t\t\t\tgetController().removeGeo();\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn btnDelete;\r\n\r\n\t}", "public JButtonOperator btRemove() {\n if (_btRemove==null) {\n String remove = Bundle.getString(\"org.netbeans.modules.java.freeform.ui.Bundle\", \"BTN_ClasspathPanel_removeClasspath\");\n _btRemove = new JButtonOperator(this, remove);// I18N\n }\n return _btRemove;\n }" ]	[ "0.6697353", "0.6624913", "0.6589989", "0.6555944", "0.6471795", "0.64244425", "0.641858", "0.63700294", "0.63122153", "0.629654", "0.6269594", "0.62611234", "0.6190248", "0.61501926", "0.61063564", "0.6078406", "0.60776883", "0.6070171", "0.6058774", "0.6045334", "0.6022983", "0.6009565", "0.60080653", "0.6006166", "0.600094", "0.60000855", "0.5989213", "0.59881574", "0.59809273", "0.5949595", "0.5949128", "0.5942389", "0.5929757", "0.59235746", "0.59159046", "0.5914065", "0.59139204", "0.58855796", "0.58855665", "0.58648854", "0.58630675", "0.5843034", "0.5841818", "0.58185995", "0.5802723", "0.5799202", "0.5785098", "0.5783112", "0.57810295", "0.57792604", "0.57622945", "0.57600516", "0.57424086", "0.57379943", "0.57378256", "0.5726379", "0.5726285", "0.5721929", "0.5720519", "0.5715082", "0.57085574", "0.57023203", "0.570118", "0.5689072", "0.5679701", "0.56779325", "0.567621", "0.5664825", "0.5658148", "0.56546867", "0.5651271", "0.5631183", "0.5627974", "0.56263065", "0.5623965", "0.56175846", "0.5601072", "0.5597096", "0.5594217", "0.558813", "0.5584261", "0.5580601", "0.55773205", "0.55674547", "0.5562322", "0.5554871", "0.55488616", "0.5546491", "0.5544596", "0.55385196", "0.5530813", "0.5522335", "0.5516518", "0.5515597", "0.5513715", "0.55109334", "0.5508413", "0.550541", "0.5502383", "0.5502287" ]	0.61235315	14
Get the ADD TO BAG button	public synchronized void pdp_AddToBag() throws Exception { // Code to remove focus from zoomed image on page load if (!Utils.isDeviceMobile()) { Actions actions = new Actions(driver); actions.moveToElement(productPrice()).build().perform(); } utils.scrollToViewElement(driver, pdp_btn_AddToBag()); // Handling Pop-Up that sometimes over shadows the ADD TO BAG button in mobile if (Utils.isDeviceMobile()) handleBounceXOnPDP(); pdp_btn_AddToBag().click(); // Thread.sleep(3000); if (!utils.brand.equals("LGFP")) Assert.assertTrue(utils.isElementPresent(driver, "PDP_continueShopping"), "Item Added To Bag modal not displayed in mobile"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@NotNull\n TBItemButton addButton() {\n @NotNull TBItemButton butt = new TBItemButton(myItemListener, myStats != null ? myStats.getActionStats(\"simple_button\") : null);\n myItems.addItem(butt);\n return butt;\n }", "public JButton getAddBtn() {\n\t\treturn addBtn;\n\t}", "Button getBtn();", "public JButton getAddBtn() {\n return addBtn;\n }", "private JButton getAddButton() {\n if (addButton == null) {\n addButton = new JButton();\n addButton.setText(\"Add\");\n addButton.setToolTipText(\"Add new notification settings for a site\");\n addButton.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n addBalloonSettings();\n }\n });\n }\n return addButton;\n }", "public javax.swing.JButton getAddButton() {\n return addButton;\n }", "public JButton getGoBtn() {\n\t\treturn go;\n\t}", "public JButton getUpLevelButton() {\n return getNoTextButton(0);\n }", "private JButton getBtnGo() {\r\n\t\tif (btnGo == null) {\r\n\t\t\tbtnGo = new JButton();\r\n\t\t\tbtnGo.setText(\"Go\");\r\n\t\t\tbtnGo.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tgoTo(txtAddress.getText(), HistoryManagement.CLEAR);\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn btnGo;\r\n\t}", "public JButton getBoton1(){\n return this.perfilBT;\n }", "public JButtonOperator btAddFromProject() {\n if (_btAddFromProject==null) {\n _btAddFromProject = new JButtonOperator(this, \"Add from Project...\"); // NOI18N\n }\n return _btAddFromProject;\n }", "public JButtonOperator btAddFromLibrary() {\n if (_btAddFromLibrary==null) {\n _btAddFromLibrary = new JButtonOperator(this, \"Add from Library...\"); // NOI18N\n }\n return _btAddFromLibrary;\n }", "protected void addActivePathToolbarButton ()\n {\n\n }", "private JButton getAddQuantityCardButton() {\n\t\tif (addQuantityCardButton == null) {\n\t\t\taddQuantityCardButton = new JButton();\n\t\t\taddQuantityCardButton.setText(\"Добавить\");\n\t\t\taddQuantityCardButton.addActionListener(new java.awt.event.ActionListener() {\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\n\t\t\t\t\tDefaultListModel model = (DefaultListModel) functionList.getModel();\n\t\t\t\t\tParseElement el = new ParseElement((ListElement) cardType.getSelectedItem(), (String)condition.getSelectedItem(), (String)value.getSelectedItem());\n\n\t\t\t\t\t((DefaultListModel) functionList.getModel()).add(model.getSize(), el);\t\t\t\t\t\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn addQuantityCardButton;\n\t}", "public synchronized WebElement pdp_btn_AddToBag() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_btn_AddToBag\", \"\| PDP: Add To Bag not present\");\n\t}", "public JButton getPOSBtn() {\r\n\t\tthis.posBtn = new JButton(\"POS File\");\r\n\t\tthis.posBtn.addActionListener(this);\r\n\t\tthis.posBtn.setEnabled(ComponentData.getPosBtnIsEnabled());\r\n\t\treturn this.posBtn;\r\n\t}", "public boolean getBButton() {\n\t\treturn getRawButton(B_Button);\n\t}", "public MyButton getBoton() {\n\t\treturn boton;\n\t}", "private JButton getBtnForward() {\r\n\t\tif (btnForward == null) {\r\n\t\t\tbtnForward = new JButton();\r\n\t\t\tbtnForward.setText(\">\");\r\n\t\t\tbtnForward.setToolTipText(\"Forward\");\r\n\t\t\tbtnForward.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tif(historyIndex < history.size() - 1) {\r\n\t\t\t\t\t\thistoryIndex ++;\r\n\t\t\t\t\t\tgoTo(history.get(historyIndex), HistoryManagement.NAVIGATE);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn btnForward;\r\n\t}", "private JButton getBtnBack() {\r\n\t\tif (btnBack == null) {\r\n\t\t\tbtnBack = new JButton();\r\n\t\t\tbtnBack.setText(\"<\");\r\n\t\t\tbtnBack.setToolTipText(\"Back\");\r\n\t\t\tbtnBack.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tif(historyIndex > 0) {\r\n\t\t\t\t\t\thistoryIndex --;\r\n\t\t\t\t\t\tgoTo(history.get(historyIndex), HistoryManagement.NAVIGATE);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn btnBack;\r\n\t}", "private JButton getAddButton() {\n if (addButton == null) {\n addButton = new JButton();\n addButton.setText(\"Add User\");\n addButton.setIcon(PortalLookAndFeel.getAddIcon());\n addButton.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n addUser();\n }\n });\n }\n return addButton;\n }", "public boolean getBButton() {\n\t\treturn getRawButton(B_BUTTON);\n\t}", "public JButton getBtnBonus() {\n return btnBonus;\n }", "public JButton getBoton() {\n return boton;\n }", "public JoystickButton getButtonB() {\n\t\treturn button[1];\n\t}", "public JButton getAddButton(){ return addCustomTraitButton; }", "public abstract String getManipulatorButtonLabel();", "public static JButton getIncrBet(){\n\t\treturn incrBet;\n\t}", "private JButton getAfterButton() {\r\n\t\tif (afterButton == null) {\r\n\t\t\tafterButton = new JButton();\r\n\t\t\tafterButton.setLocation(new Point(660, 480));\r\n\t\t\tafterButton.setText(\"Next Page\");\r\n\t\t\tafterButton.setSize(new Dimension(120, 30));\r\n\t\t}\r\n\t\treturn afterButton;\r\n\t}", "private JButton getJButton2() {\n\t\tif (import_button == null) {\n\t\t\timport_button = new JButton();\n\t\t\timport_button.setText(Locale.getString(\"IMPORT\"));\n\t\t\timport_button.setMnemonic(java.awt.event.KeyEvent.VK_I);\n\t\t}\n\t\treturn import_button;\n\t}", "private JButton getAddIncludeConditionButton() {\n\t\tif (addIncludeConditionButton == null) {\n\t\t\taddIncludeConditionButton = new JButton();\n\t\t\taddIncludeConditionButton.setText(\"Добавить\");\n\t\t\taddIncludeConditionButton.addActionListener(new java.awt.event.ActionListener() {\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\n\t\t\t\t\tDefaultListModel model = (DefaultListModel) functionList.getModel();\n\t\t\t\t\tOneCard el = new OneCard((ListElement)getCardValue().getSelectedItem(), (ListElement) getCardColor().getSelectedItem());\n\t\t\t\t\t((DefaultListModel) functionList.getModel()).add(model.getSize(), el);\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn addIncludeConditionButton;\n\t}", "private JButton getCmdAdd() {\r\n\t\tif (cmdAdd == null) {\r\n\t\t\tcmdAdd = new JButton();\r\n\t\t\tcmdAdd.setText(\"\");\r\n\t\t\tcmdAdd.setToolTipText(\"Add single proxy\");\r\n\t\t\tcmdAdd.setIcon(new ImageIcon(getClass().getResource(\"/add.png\")));\r\n\t\t\tcmdAdd.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\taddProxy = getJDialog();\r\n\t\t\t\t\taddProxy.pack();\r\n\t\t\t\t\taddProxy.setSize(new Dimension(231, 144));\r\n\t\t\t\t\taddProxy.setLocationRelativeTo(jContentPane);\r\n\t\t\t\t\taddProxy.setVisible(true);\r\n\t\t\t\t}\r\n\r\n\t\t\t});\r\n\r\n\t\t}\r\n\t\treturn cmdAdd;\r\n\t}", "private RButton getCopyButton() {\n if (copyButton == null) {\n copyButton = new RButton();\n copyButton.setText(\"<%= ivy.cms.co(\\\"/Buttons/copy\\\") %>\");\n copyButton.setName(\"copyButton\");\n }\n return copyButton;\n }", "public JButtonOperator btBrowse() {\n if (_btBrowse==null) {\n _btBrowse = new JButtonOperator(this, \"Browse...\");//TODO I18N + another panel?\n }\n return _btBrowse;\n }", "public JButtonOperator btMoveUp() {\n if (_btMoveUp==null) {\n String moveUp = Bundle.getString(\"org.netbeans.modules.java.freeform.ui.Bundle\", \"LBL_ClasspathPanel_Move_Up\");\n _btMoveUp = new JButtonOperator(this, moveUp);// I18N\n }\n return _btMoveUp;\n }", "@Override\n\tpublic ToolStripButton getAddProjectButton() {\n\t\treturn addProjectButton;\n\t}", "public JButton getAddModifyButton() {\n return addModifyButton;\n }", "public JButton getBookingViewButton() {\n return bookingButton;\n }", "protected JButton createAddButton() {\n JButton butAdd = new JButton();\n butAdd.setIcon(new ImageIcon(getClass().getClassLoader().getResource(\"image/add.jpg\")));\n butAdd.setToolTipText(\"Add a new item\");\n butAdd.addActionListener(new AddItemListener());\n return butAdd;\n }", "public javax.swing.JButton getBGenerate() {\n\t\treturn BGenerate;\n\t}", "private JButton getJbtnPreviousStep() {\n\t\tif (jbtnPreviousStep == null) {\n\t\t\tjbtnPreviousStep = new JButton();\n\t\t\tjbtnPreviousStep.setHorizontalAlignment(SwingConstants.CENTER);\n\t\t\tjbtnPreviousStep.setHorizontalTextPosition(SwingConstants.TRAILING);\n\t\t\tjbtnPreviousStep.setIcon(new ImageIcon(getClass().getResource(\"/org/measureyourgradient/images/back.png\")));\n\t\t\tjbtnPreviousStep.setText(\" Previous Step\");\n\t\t\tjbtnPreviousStep.setSize(new Dimension(178, 34));\n\t\t\tjbtnPreviousStep.setLocation(new Point(6, 576));\n\t\t\tjbtnPreviousStep.setActionCommand(\"Previous Step\");\n\t\t}\n\t\treturn jbtnPreviousStep;\n\t}", "private JButton getJButton1() {\n\t\tif (edit_button == null) {\n\t\t\tedit_button = new JButton();\n\t\t\tedit_button.setMnemonic(java.awt.event.KeyEvent.VK_E);\n\t\t\tedit_button.setText(Locale.getString(\"EDIT\"));\n\t\t}\n\t\treturn edit_button;\n\t}", "public Point getAddToListButtonLoc(){\r\n\t\treturn button.getLocationOnScreen();\r\n\t}", "public JButtonOperator btAddFromJAR() {\n if (_btAddFromJAR==null) {\n _btAddFromJAR = new JButtonOperator(this, \"Add from JAR...\"); // NOI18N\n }\n return _btAddFromJAR;\n }", "public JButton getCapturedBtn() {\r\n\t\tthis.capturedBtn = new JButton(\"Captured File\");\r\n\t\tthis.capturedBtn.addActionListener(this);\r\n\t\tthis.capturedBtn.setEnabled(ComponentData.getCapturedBtnIsEnabled());\r\n\t\treturn this.capturedBtn;\r\n\t}", "private JButton getCopyButton() {\n if (copyButton == null) {\n copyButton = new JButton();\n copyButton.setText(\"Copy\");\n copyButton.setToolTipText(\"Copy settings from an existing site to a new site\");\n copyButton.setActionCommand(\"Copy\");\n copyButton.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n copySelectedBalloonSettings();\n }\n });\n }\n return copyButton;\n }", "private JButton getDiffButton() {\n if (diffButton == null) {\n diffButton = new JButton();\n diffButton.setText(\"Diff\");\n diffButton.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n diff();\n }\n });\n }\n return diffButton;\n }", "private JButton getBoton2() {\r\n\t\tif (boton2 == null) {\r\n\t\t\tboton2 = new JButton();\r\n\t\t\tboton2.setBounds(0, 130, 479, 65);\r\n\t\t\tboton2.setText(ResourceBundle.getBundle(\"Etiquetas\").getString(\"Register\"));\r\n\t\t\tboton2.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\t@Override\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tRegisterGUI reg = new RegisterGUI(getBusinessLogic());\r\n\t\t\t\t\treg.setVisible(true);\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn boton2;\r\n\t}", "private JButton getJButton() {\n\t\tif (new_button == null) {\n\t\t\tnew_button = new JButton();\n\t\t\tnew_button.setText(Locale.getString(\"NEW\"));\n\t\t\tnew_button.setMnemonic(java.awt.event.KeyEvent.VK_N);\n\t\t\tnew_button.addActionListener(new java.awt.event.ActionListener() { \n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) { \n\t\t\t\t\tSystem.out.println(\"actionPerformed()\"); // TODO Auto-generated Event stub actionPerformed()\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn new_button;\n\t}", "public HTMLInputElement getElementBtnGrabar() { return this.$element_BtnGrabar; }", "private JButton getLinkButton() {\r\n\t\tif (linkButton == null) {\r\n\t\t\tlinkButton = new JButton(); \r\n\t\t\tlinkButton.setIcon(new ImageIcon(getClass().getResource(\"/img/icon/discrete_attribute.gif\")));\r\n\t\t\tlinkButton.setPreferredSize(new Dimension(23, 23));\r\n\t\t\tlinkButton.setBounds(new Rectangle(44, 1, 23, 20));\r\n\t\t\tlinkButton.setToolTipText(\"超链接编辑\");\r\n\t\t\tlinkButton.setActionCommand(\"linkButton\");\r\n\t\t\tlinkButton.addActionListener(this.buttonAction);\r\n\t\t\t\r\n\t\t}\r\n\t\treturn linkButton;\r\n\t}", "private JButton getCmdAddT() {\r\n\t\tif (cmdAddT == null) {\r\n\t\t\tcmdAddT = new JButton();\r\n\t\t\tcmdAddT.setText(\"\");\r\n\t\t\tcmdAddT.setActionCommand(\"LoadF\");\r\n\t\t\tcmdAddT.setToolTipText(\"Import proxy list from file. The list should be ip:port or ip port.\");\r\n\t\t\tcmdAddT.setIcon(new ImageIcon(getClass().getResource(\"/Import-48.png\")));\r\n\t\t\tcmdAddT.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tString filename = getFilename();\r\n\r\n\t\t\t\t\tif (filename != null)\r\n\t\t\t\t\t\taddRows( p.getProxyFromFile(filename) );\r\n\r\n\r\n\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn cmdAddT;\r\n\t}", "public JoystickButton getButtonBack() {\n\t\treturn button[6];\n\t}", "private JButton getJButtonInto() {\r\n\t\tif (jButtonInto == null) {\r\n\t\t\tjButtonInto = new JButton();\r\n\t\t\tjButtonInto.setMargin(new Insets(2, 5, 2, 5));\r\n\t\t\tjButtonInto.setText(\"数据入库\");\r\n\t\t\tjButtonInto.setBounds(new Rectangle(512, 517, 70, 23));\r\n\t\t\tjButtonInto.addMouseListener(new MouseAdapter() {\r\n\t\t\t\tpublic void mouseClicked(java.awt.event.MouseEvent e) {\r\n\t\t\t\t\tDataIntoGui.this.setVisible(false);\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn jButtonInto;\r\n\t}", "@Override\r\n\tpublic ButtonInterfaceRichard getButton() {\n\t\treturn move;\r\n\t}", "public ButtonTag GetButtonTag(){\n if(buttonTag != null) {\n return ButtonTag.valueOf(buttonTag);\n }\n else{\n return null;\n }\n }", "public void clickAddButtonInStockTab(){\r\n\t\t\r\n\t\tMcsElement.getElementByXpath(driver, \"//div[contains(@class,'x-border-layout-ct') and not(contains(@class,'x-hide-display'))]//div[contains(@class,'x-panel-bbar')]//button[contains(text(),'Add..')]\").click();\r\n\t\t\r\n\t\t//McsElement.getElementByAttributeValueAndParentElement(driver, \"div\", \"@class\", \"x-panel-bbar\", \"button\", \"text()\", \"Add...\", true, true).click();\r\n\t\t\r\n\t\tReporter.log(\"Clicked on Add button in Stock Tab\", true);\r\n\t}", "private JButton getNavratButton() {\n\t\tif (navratButton == null) {\n\t\t\tnavratButton = new JButton();\n\t\t\tnavratButton.setText(\"Návrat\");\n\t\t\tnavratButton.setBounds(new Rectangle(8, 17, 74, 25));\n\t\t\tnavratButton.addActionListener(new java.awt.event.ActionListener() {\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\n\n\t\t\t\t\tanalyzaPanel.setVisible(false);\n\t\t\t\t\tmenuPanel.setVisible(true);\n\t\t\t\t\tspodnyPanel.setVisible(false);\n\t\t\t\t\tLinkedList<String> temp = new LinkedList<String>();\n\t\t\t\t\ttemp.add(\"\");\n\t\t\t\t\t// temp.add(\"GRATULUJEME!!!!\");\n\t\t\t\t\t// temp.add(\"---------------\");\n\t\t\t\t\t// temp.add(\"Vaša úroveň je:\");\n\t\t\t\t\t// temp.add(\"----- 2 -------\");\n\n\t\t\t\t\tanalyzaList.setListData(temp.toArray());\n\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn navratButton;\n\t}", "public String GetButtonText() {\n\t\treturn getWrappedElement().getText();\n\t}", "private JButton getPreButton() {\r\n\t\tif (preButton == null) {\r\n\t\t\tpreButton = new JButton();\r\n\t\t\tpreButton.setText(\"Prev Page\");\r\n\t\t\tpreButton.setSize(new Dimension(120, 30));\r\n\t\t\tpreButton.setLocation(new java.awt.Point(10,480));\r\n\t\t}\r\n\t\treturn preButton;\r\n\t}", "public List<Widget> getAchievementButtons();", "public boolean getAButton() {\n\t\treturn getRawButton(A_BUTTON);\n\t}", "public JButton getReservationButton() {\n return reservationButton;\n }", "public JButton getAnsBrowseBtn() {\r\n\t\treturn ansBrowseBtn;\r\n\t}", "public JButton getBoutonNouveau() {\n\t\treturn this.nouveau;\n\t}", "public boolean getAButton() {\n\t\treturn getRawButton(A_Button);\n\t}", "private void createButton(){\n addButton();\n addStartButton();\n }", "private JButton getJButton() {\r\n\t\tif (jButton == null) {\r\n\t\t\tjButton = new JButton();\r\n\t\t\tjButton.setBounds(new Rectangle(172, 11, 71, 26));\r\n\t\t\tjButton.setText(\"Button\");\r\n\t\t\tjButton.addActionListener(new MultiHighlight(jTextArea, \"aeiouAEIOU\"));\r\n\t\t}\r\n\t\treturn jButton;\r\n\t}", "public String getAddButtonCaption() {\r\n\t\tif (_addButton == null)\r\n\t\t\treturn null;\r\n\t\telse\r\n\t\t\treturn _addButton.getDisplayName();\r\n\t}", "public JButtonOperator btMoveDown() {\n if (_btMoveDown==null) {\n String moveDown = Bundle.getString(\"org.netbeans.modules.java.freeform.ui.Bundle\", \"LBL_ClasspathPanel_Move_Down\");\n _btMoveDown = new JButtonOperator(this, moveDown);// I18N\n }\n return _btMoveDown;\n }", "public JButtonOperator btRemove() {\n if (_btRemove==null) {\n _btRemove = new JButtonOperator(this, \"Remove...\"); // NOI18N\n }\n return _btRemove;\n }", "private JButton getBBuscar() {\r\n if (bBuscar == null) {\r\n bBuscar = new JButton();\r\n bBuscar.setBounds(new Rectangle(340, 20, 20, 20));\r\n bBuscar.setText(\"...\");\r\n bBuscar.addActionListener(new java.awt.event.ActionListener() {\r\n public void actionPerformed(java.awt.event.ActionEvent e) {\r\n buscarGrupo();\r\n }\r\n });\r\n }\r\n return bBuscar;\r\n }", "public ToggleButton getCreateButton() {\n\t\treturn myCreateWorkSpaceButton;\n\t}", "public JButton getUncapturedBtn() {\r\n\t\tthis.uncapturedBtn = new JButton(\"Uncaptured File\");\r\n\t\tthis.uncapturedBtn.addActionListener(this);\r\n\t\tthis.uncapturedBtn.setEnabled(ComponentData.getUncapturedBtnIsEnabled());\r\n\t\treturn this.uncapturedBtn; \r\n\t}", "private JButton getBGuardar() {\r\n if (bGuardar == null) {\r\n bGuardar = new JButton();\r\n bGuardar.setBounds(new Rectangle(10, 200, 100, 30));\r\n bGuardar.setText(\"Guardar\");\r\n bGuardar.addActionListener(new java.awt.event.ActionListener() {\r\n public void actionPerformed(java.awt.event.ActionEvent e) {\r\n guardarGrupo(); \r\n }\r\n });\r\n }\r\n return bGuardar;\r\n }", "private static GetButtonTemResponse Getbutton(GetButtonTem log) {\r\n com.wsclient.EJBWebServicev20_Service service = new com.wsclient.EJBWebServicev20_Service();\r\n com.wsclient.EJBWebServicev20 port = service.getEJBWebServicev20Port();\r\n return port.getButtonTempW(log);\r\n }", "public JButton getBoutonRetour() {\n\t\treturn this.retour;\n\t}", "public JButtonOperator btMoveUp() {\n if (_btMoveUp==null) {\n _btMoveUp = new JButtonOperator(this, \"Move Up\"); // NOI18N\n }\n return _btMoveUp;\n }", "public JButton getNewGameButton() {\n\t\treturn newGameButton;\n\t}", "public NinePatch getButtonArrow_pressed()\r\n\t{\r\n\t\treturn getRaw(IMGS_ROOT+\"/button_arrow_pressed.9.png\");\r\n\t}", "@Override\n\tprotected void initAddButton() {\n addBtn = addButton(\"newBtn\", TwlLocalisationKeys.ADD_BEAT_TYPE_TOOLTIP, new Runnable() {\n\t\t\t\t@Override\n\t\t\t\tpublic void run() {\n\t\t\t\t\tnew AddEditBeatTypePanel(true, null, BeatTypesList.this).run(); // adding\n\t\t\t\t}\n\t }); \t\t\n\t}", "public void makeGetRPButton() {\r\n JButton getRP = new JButton(\"Check if a champion can be purchased with Riot Points\");\r\n new Button(getRP, main);\r\n// getRP.setAlignmentX(Component.LEFT_ALIGNMENT);\r\n// getRP.setPreferredSize(new Dimension(2500, 100));\r\n// getRP.setFont(new Font(\"Arial\", Font.PLAIN, 40));\r\n getRP.addActionListener(new ActionListener() {\r\n @Override\r\n public void actionPerformed(ActionEvent e) {\r\n getRiotPointsBalanceDifference();\r\n }\r\n });\r\n// main.add(getRP);\r\n }", "private void newOrderbutton(String txt) {\n Button btn = new Button(txt);\n newBtnStyle(btn);\n\n boolean containsbtn = false;\n btn.setId(txt);\n for (Node node : activeOrders.getChildren()) {\n String button = ((Button) node).getText();\n if (txt.equals(button))\n containsbtn = true;\n\n }\n if (!containsbtn) {\n activeOrders.getChildren().add(btn);\n\n changeActive(btn);\n } else {\n //Alert clerc about the amount to pay back.\n Alert alert = new Alert(Alert.AlertType.INFORMATION);\n alert.setTitle(\"Nyt bord\");\n alert.setHeaderText(\"Bord: \" + txt + \" eksistere allerede\");\n alert.showAndWait();\n }\n }", "public JButton getReturnButton() {\n return this.retour;\n }", "public JButton getButton(){\n\t\treturn item;\n\t}", "protected Component createNextButton() {\n JButton b = new BasicArrowButton(SwingConstants.NORTH);\n b.addActionListener(nextButtonHandler);\n b.addMouseListener(nextButtonHandler);\n return b; }", "public WebElement get123BankingCancelBtn() {\n\t\tWebDriverWait wait = new WebDriverWait(driver, 20);\n\t\treturn wait.until(ExpectedConditions.elementToBeClickable(findElement(\n\t\t\t\trepositoryParser, PAGE_NAME, \"123BankingCancelBtn\")));\n\t}", "public Button getButton(String key) {\n return buttons.get(key);\n }", "private JButton getBtnKey(int i) {\r\n\t\tif (btnKey == null) {\r\n\t\t\tbtnKey = new JButton[12];\r\n\t\t}\r\n\t\t\r\n\t\tif (btnKey[i] == null) {\r\n\t\t\tbtnKey[i] = new JButton(String.valueOf(i + 1));\r\n\t\t\tswitch(i) {\r\n\t\t\t\tcase KEY_AST:\r\n\t\t\t\t\tbtnKey[i].setText(\"*\");\r\n\t\t\t\t\tbreak;\r\n\t\t\t\tcase KEY_0:\r\n\t\t\t\t\tbtnKey[i].setText(\"0\");\r\n\t\t\t\t\tbreak;\r\n\t\t\t\tcase KEY_POUND:\r\n\t\t\t\t\tbtnKey[i].setText(\"#\");\r\n\t\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t\t\r\n\t\t\tbtnKey[i].addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\ttxtInput.setText(txtInput.getText() + ((JButton)e.getSource()).getText());\r\n\t\t\t\t}\r\n\t\t\t});\r\n\r\n\t\t}\r\n\t\t\r\n\t\treturn btnKey[i];\r\n\t}", "public Button getButton() {\n\t\treturn button;\n\t}", "public abstract List<GuiButton> getButtonList();", "public static Button getAddButton(SectionPart part) {\r\n\t\tif (part != null && part instanceof ExportSectionPart) {\r\n\t\t\tExportSectionPart ePart = (ExportSectionPart) part;\r\n\t\t\treturn ePart.getAddButton();\r\n\t\t}\r\n\t\treturn null;\r\n\t}", "public void getSignUpButton() {\n mSignUpButton = (Button) mView.findViewById(R.id.accounts_sign_up_btn);\n mSignUpButton.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View view) {\n createFirebaseAccountsUI();\n }\n });\n }", "@Override\n public void onBoomButtonClick(int index) {\n }", "private org.gwtbootstrap3.client.ui.AnchorButton get_f_AnchorButton45() {\n return build_f_AnchorButton45();\n }", "protected Component createPreviousButton() {\n JButton b = new BasicArrowButton(SwingConstants.SOUTH);\n b.addActionListener(previousButtonHandler);\n b.addMouseListener(previousButtonHandler);\n return b; }", "private JButton createButton(final Box addTo, final String label) {\n JButton button = new JButton(label);\n button.setActionCommand(label);\n button.addActionListener(this);\n addTo.add(button);\n return button;\n }", "private void addBackwardButton() {\n\t\tbackwardButton = new EAdSimpleButton(EAdSimpleButton.SimpleButton.BACKWARD);\n\t\tbackwardButton.setEnabled(false);\n toolPanel.add(backwardButton);\n\t\tbackwardButton.addActionListener(new ActionListener() {\n\t\t\t@Override\n\t\t\tpublic void actionPerformed(ActionEvent arg0) {\n\t\t\t\tcontroller.getNavigationController().goBackward();\n\t\t\t}\n\t\t});\n\t}", "public JButton getBtnRemove() {\r\n\t\treturn btnRemove;\r\n\t}", "public PushButton getDeleteButton() {\r\n\t\tif (btnDelete == null) {\r\n\t\t\tbtnDelete = new PushButton(\r\n\t\t\t\t\tnew Image(GuiResources.INSTANCE.algebra_delete()));\r\n\t\t\tbtnDelete.getUpHoveringFace().setImage(new Image(\r\n\t\t\t\t\tGuiResources.INSTANCE.algebra_delete_hover()));\r\n\t\t\tbtnDelete.addStyleName(\"XButton\");\r\n\t\t\tbtnDelete.addStyleName(\"shown\");\r\n\t\t\tbtnDelete.addMouseDownHandler(new MouseDownHandler() {\r\n\t\t\t\t@Override\r\n\t\t\t\tpublic void onMouseDown(MouseDownEvent event) {\r\n\t\t\t\t\tif (event\r\n\t\t\t\t\t\t\t.getNativeButton() == NativeEvent.BUTTON_RIGHT) {\r\n\t\t\t\t\t\treturn;\r\n\t\t\t\t\t}\r\n\t\t\t\t\tevent.stopPropagation();\r\n\t\t\t\t\tgetController().removeGeo();\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn btnDelete;\r\n\r\n\t}", "public JButtonOperator btRemove() {\n if (_btRemove==null) {\n String remove = Bundle.getString(\"org.netbeans.modules.java.freeform.ui.Bundle\", \"BTN_ClasspathPanel_removeClasspath\");\n _btRemove = new JButtonOperator(this, remove);// I18N\n }\n return _btRemove;\n }" ]	[ "0.6697353", "0.6624913", "0.6589989", "0.6555944", "0.6471795", "0.64244425", "0.641858", "0.63700294", "0.63122153", "0.629654", "0.6269594", "0.62611234", "0.6190248", "0.61501926", "0.61235315", "0.61063564", "0.6078406", "0.60776883", "0.6070171", "0.6058774", "0.6045334", "0.6022983", "0.6009565", "0.60080653", "0.6006166", "0.600094", "0.60000855", "0.5989213", "0.59881574", "0.59809273", "0.5949595", "0.5949128", "0.5942389", "0.5929757", "0.59235746", "0.59159046", "0.5914065", "0.59139204", "0.58855796", "0.58855665", "0.58648854", "0.58630675", "0.5843034", "0.5841818", "0.58185995", "0.5802723", "0.5799202", "0.5785098", "0.5783112", "0.57810295", "0.57792604", "0.57622945", "0.57600516", "0.57424086", "0.57379943", "0.57378256", "0.5726379", "0.5726285", "0.5721929", "0.5720519", "0.5715082", "0.57085574", "0.57023203", "0.570118", "0.5689072", "0.5679701", "0.56779325", "0.567621", "0.5664825", "0.5658148", "0.56546867", "0.5651271", "0.5631183", "0.5627974", "0.56263065", "0.5623965", "0.56175846", "0.5601072", "0.5597096", "0.5594217", "0.558813", "0.5584261", "0.5580601", "0.55773205", "0.55674547", "0.5562322", "0.5554871", "0.55488616", "0.5546491", "0.5544596", "0.55385196", "0.5530813", "0.5522335", "0.5516518", "0.5515597", "0.5513715", "0.55109334", "0.5508413", "0.550541", "0.5502383", "0.5502287" ]	0.0	-1
Method used for Add Item to Shopping Bag.	public synchronized void addToBag(WebDriver driver, int rowNo, int colNo) throws Exception { try { if (rowNo != 0 && colNo != 0) openPDP(driver, rowNo, colNo); // plpPage.navigateToPLP(driver, "Clothing", "New Arrivals"); Reporter.log(Constants.DELIMITER + "***********Product Description Page: Add Item to Shopping Bag**********"); Thread.sleep(500); // Clicking on the Size Types on the Product Description Page Reporter.log(Constants.DELIMITER + "\| PDP Page: Click action is performed on Size Types"); // Clicking on the Color Swatch on the Product Description Page selectColor(); Reporter.log(Constants.DELIMITER + "\| PDP Page: Click action is performed on Color Swatch"); // Clicking on the Size Swatch on the Product Description Page if (utils.device.equals("desktop")) selectSize(); else selectSizeMobile(); Reporter.log(Constants.DELIMITER + "\| PDP Page: Click action is performed on Size Swatch"); if (utils.browser.equals("android")) { utils.scrollDownByxPostion(driver, 1000); // pdp_btn_AddToBag().click(); pdp_AddToBag(); } else { // productName_PDP = txt_ProductName().getText(); // Clicking on the Add To Bag Button on the Product Description // Page // Clicking on the Add To Bag Button on the Product Description // Page // Clicking on the Add To Bag Button on the Product Description // Page pdp_AddToBag(); } Reporter.log(Constants.DELIMITER + "\| Login Page: Click action is perfromed on Add To Bag button"); Utils.waitForPageLoaded(driver); // Assert.assertTrue(utils.isElementPresent(driver, // "PDPAddToBagNotification", // "Add To Bag Notifications"), // "'ITEM ADDED TO BAG' Not displayed"); ReporterLog.actionMsg("Item Successfully Added to Bag"); Thread.sleep(6000); if (utils.browser.equals("android")) { utils.scrollUp(driver); Thread.sleep(1000); } homePage.click_lnk_shoppingBag(); Utils.waitForPageLoaded(driver); // utils.waitForElementToBeClickable(driver, // "PDPAddToBagNotification", // "checkout now not clickable"); // utils.findElementByLocator(driver, "PDPAddToBagNotification", // "continue // shopping not found").click(); // utils.waitForPageLoaded(driver); // // // driver.get("https://origin-stage2-factory.r.anntaylor.com/cart"); // // Utils.waitForPageLoaded(driver); } catch (Exception e) { CustomException.throwExceptionError(e, "PDP", "Add To Bag action failed", driver); } catch (AssertionError e) { CustomException.throwAssertionError(e, "PDP", "Add To Bag action failed", driver); } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void add() {\n\t\tcart.add(item.createCopy());\n\t}", "void add(Item item);", "private void add(GroceryItem itemObj, String itemName) {\n\t\tbag.add(itemObj);\n\t\tSystem.out.println(itemName + \" added to the bag.\");\n\t}", "public abstract void addItem(AbstractItemAPI item);", "public void addItem(SoldItem item) {\n\n items.add(item);\n log.debug(\"Added \" + item.getName() + \" quantity of \" + item.getQuantity());\n\n }", "void addItem (Item toAdd){\n\t\t\tthis.items.add(toAdd);}", "@Override\n\t@RequestMapping(value=ZuelControllerValue.Manage+\"addItem\")\n\tpublic ZuelResult addItem(TbItem item) {\n\t\treturn service.addItem(item);\n\t}", "public void addProduct(Product item){\n inventory.add(item);\n }", "CatalogItem addCatalogItem(CatalogItem catalogItem);", "public void addItem(Item theItem) {\n\t\tif (inventory != null) {\n\t\t\tif (!isAuctionAtMaxCapacity()) {\n\t\t\t\t// Check item doesn't already exist as key in map\n\t\t\t\tif (inventory.containsKey(theItem)) {\n\t\t\t\t\t//ERROR CODE: ITEM ALREADY EXISTS\n\t\t\t\t\tSystem.out.println(\"That item already exists in the inventory.\");\n\t\t\t\t} else\n\t\t\t\t\tinventory.put(theItem, new ArrayList<Bid>());\n\t\t\t} else if (isAuctionAtMaxCapacity()) {\n\t\t\t\t//ERROR CODE: AUCTION AT MAX CAPACITY\n\t\t\t\tSystem.out.println(\"\\nYour auction is at maximum capacity\");\n\t\t\t} \n\t\t} else {\n\t\t\tinventory = new HashMap<Item, ArrayList<Bid>>();\n\t\t\tinventory.put(theItem, new ArrayList<Bid>());\t\t\t\t\n\t\t} \t\t\t\t\t\t\n\t}", "public int addItem(Item i);", "public void add(Item item) {\r\n\t\tcatalog.add(item);\r\n\t}", "@Override\r\n\tpublic void addItem(AbstractItemAPI item) {\n\t\titems.add(item);\r\n\t\t\r\n\t}", "public void addProduct(Product item)\n {\n stock.add(item);\n }", "public void addItem() {\n\t\tScanner scanner = new Scanner(System.in);\n\t\tSystem.out.print(\"Enter Item Name: \");\n\t\tString itemName = scanner.nextLine();\n\t\tSystem.out.print(\"Enter Item Description: \");\n\t\tString itemDescription = scanner.nextLine();\n\t\tSystem.out.print(\"Enter minimum bid price for item: $\");\n\t\tdouble basePrice = scanner.nextDouble();\n\t\tLocalDate createDate = LocalDate.now();\n\t\tItem item = new Item(itemName, itemDescription, basePrice, createDate);\n\t\taddItem(item);\n\t}", "public void store(Item item) {\n this.items.add(item);\n }", "public void addItem(Item item) {\n items.add(item);\n }", "public void addItem(Item item) {\n items.add(item);\n }", "public void addItem(Item item){\r\n items.add(item);\r\n total = items.getTotal();\r\n }", "public void addItem(Carryable g) {\r\n if (numItems < MAX_CART_ITEMS)\r\n cart[numItems++] = g;\r\n }", "public void addItem( Item anItem) {\n currentItems.add(anItem);\n }", "public void addItem(Item item) {\n _items.add(item);\n }", "public void addCostItem(CostItem item) throws CostManagerException;", "void addGroceryItem(String item) {\n\n\t}", "public void addItem(Item toAdd) {\n\t\tthis.items.add(toAdd);\n\t}", "void addCpItem(ICpItem item);", "public static void addItem(BackpackItem itemName) {\n\t\t\t\n\t\t\tfor (int i = 0; i <= backpackArr.length-1; i++) { //iterate through backpackArr\n\t\t\t\t\n\t\t\t\tif (backpackArr[i] == null) { // If there is no item in slot\n\t\t\t\t\tSystem.out.println(\"You added the \" + itemName + \" to your backpack.\");\n\t\t\t\t\tbackpackArr[i] = itemName; // puts new item into next empty BackpackItem index in backpackArr\n\t\t\t\t\tbreak; // breaks out of for loop (to prevent filling up all slots with the same item\n\t\t\t\t}\n\t\t\t}\n\t\t}", "@attribute(value = \"\", required = false)\r\n\tpublic void addItem(Item i) {\r\n\t}", "public boolean add(Type item);", "public void addItem(Product p, int qty){\n //store info as an InventoryItem and add to items array\n this.items.add(new InventoryItem(p, qty));\n }", "@Override\n public void addItem(P_CK t) {\n \n }", "public void addItem(Item i) {\n this.items.add(i);\n }", "public void addItem(Item item) {\r\n\t\titems.add(item);\r\n\t}", "public boolean addPlayerItem(PlayerItem playerItem);", "public void additem(String item){\n\t\trep.takeitem(\"take \" + item);\n\t}", "public void addItem() {\r\n\t\tFacesContext fc = FacesContext.getCurrentInstance();\r\n\t\tif (itemInvoice.getQuantidade() <= itemPO.getQuantidadeSaldo()) {\r\n\t\t\tBigDecimal total = itemInvoice.getPrecoUnit().multiply(\r\n\t\t\t\t\tnew BigDecimal(itemInvoice.getQuantidade()));\r\n\t\t\titemInvoice.setTotal(total);\r\n\t\t\tif (!editarItem) {\r\n\r\n\t\t\t\tif (itemInvoice.getPrecoUnit() == null) {\r\n\t\t\t\t\titemInvoice.setPrecoUnit(new BigDecimal(0.0));\r\n\t\t\t\t}\r\n\t\t\t\tif (itemInvoice.getQuantidade() == null) {\r\n\t\t\t\t\titemInvoice.setQuantidade(0);\r\n\t\t\t\t}\r\n\t\t\t\titemInvoice.setInvoice(invoice);\r\n\r\n\t\t\t\tinvoice.getItensInvoice().add(itemInvoice);\r\n\r\n\t\t\t} else {\r\n\t\t\t\tinvoice.getItensInvoice().set(\r\n\t\t\t\t\t\tinvoice.getItensInvoice().indexOf(itemInvoice),\r\n\t\t\t\t\t\titemInvoice);\r\n\t\t\t}\r\n\t\t\tcarregarTotais();\r\n\t\t\tinicializarItemInvoice();\r\n\t\t\trequired = false;\r\n\t\t} else {\r\n\r\n\t\t\tMessages.adicionaMensagemDeInfo(TemplateMessageHelper.getMessage(\r\n\t\t\t\t\tMensagensSistema.INVOICE, \"lblQtdMaioSaldo\", fc\r\n\t\t\t\t\t\t\t.getViewRoot().getLocale()));\r\n\t\t}\r\n\t}", "public void addItem(Item item) {\n\t\titems.add(item);\n\t}", "public Item add(Item item) {\n Item existing = getItem(item.getItemId());\n if (existing != null) {\n return existing.incrementQuantity(item.getQuantity());\n }\n else {\n items.add(item.setCart(this));\n return item;\n }\n }", "public void addItem(final Item item) {\n\t\tnumberOfItems++;\n\t}", "public void addItem(Item item) {\n\t\thashOperations.put(KEY, item.getId(), item);\n\t\t//valueOperations.set(KEY + item.getId(), item);\n\t}", "public Item addItem(Item item) {\r\n uniqueCounter++;\r\n items.add(item);\r\n return item;\r\n }", "void addFruit(Fruit item){\n\t\tfruitList.add(item);\n\t}", "public void addItem(Object obj) {\n items.add(obj);\n }", "Item addItem(IDAOSession session, String title, String description,\n\t\t\tint userId);", "public void addItem(String i) {\n\t\tItem item = Item.getItem(ItemList, i);\n\t Inventory.add(item);\n\t inventoryList.getItems().add(i);\n\n\t}", "@Override\n public Optional<FridgeItemEntity> addItem(String fridgeId, String itemId, String itemType) {\n return Optional.empty();\n }", "@RequestMapping(method=RequestMethod.POST, value = \"/item/{id}\", produces = \"application/json\")\n public void addItem(@RequestBody Item itemToAdd)\n {\n this.itemRepository.addItem(itemToAdd);\n }", "protected void addInventoryItemType() {\n\t\tProperties props = new Properties();\n\n\t\t/* DEBUG\n\t\t\n\t\tSystem.out.println(typeNameTF.getText());\n\t\tSystem.out.println(unitsTF.getText());\n\t\tSystem.out.println(unitMeasureTF.getText());\n\t\tSystem.out.println(validityDaysTF.getText());\n\t\tSystem.out.println(reorderPointTF.getText());\n\t\tSystem.out.println(notesTF.getText());\n\t\tSystem.out.println(statusCB.getValue());\n\t\n\t\t/ \n\n\t\t// Set the values.\n\t\tprops.setProperty(\"ItemTypeName\", typeNameTF.getText());\n\t\tprops.setProperty(\"Units\", unitsTF.getText());\n\t\tprops.setProperty(\"UnitMeasure\", unitMeasureTF.getText());\n\t\tprops.setProperty(\"ValidityDays\", validityDaysTF.getText());\n\t\tprops.setProperty(\"ReorderPoint\", reorderPointTF.getText());\n\t\tprops.setProperty(\"Notes\", notesTF.getText());\n\t\tprops.setProperty(\"Status\", (String) statusCB.getValue());\n\n\t\t// Create the inventory item type.\n\t\tInventoryItemType iit = new InventoryItemType(props);\n\n\t\t// Save it into the database.\n\t\tiit.update();\n\n\t\tpopulateFields();\n\t\t\n\t\t// Display message on GUI.\n\t\t//submitBTN.setVisible(false);\n\t\tcancelBTN.setText(\"Back\");\n\t\tmessageLBL.setText(\"Inventory Item Type added.\");\n\t}", "public String addItem(Item item){\n EntityManager em = emf.createEntityManager();\n try{\n utx.begin();\n em.joinTransaction();\n for(Tag tag : item.getTags()) {\n tag.incrementRefCount();\n tag.getItems().add(item);\n em.merge(tag);\n }\n em.persist(item);\n utx.commit();\n // index item\n if(bDebug) System.out.println(\"\\n**Item id of new item is : \" + item.getItemID());\n indexItem(new IndexDocument(item));\n \n } catch(Exception exe){\n try {\n utx.rollback();\n } catch (Exception e) {}\n throw new RuntimeException(\"Error persisting item\", exe);\n } finally {\n em.close();\n }\n return item.getItemID();\n }", "public void addItemInventory(Item item){\r\n playerItem.add(item);\r\n System.out.println(item.getDescription() + \" was taken \");\r\n }", "public void addItem(Item e) {\n\t\tItem o = new Item(e);\n\t\titems.add(o);\n\t}", "public void addItem(Item itemToAdd){\n\t\tif(!isFull()){\n\t\t\tint index = findFreeSlot();\n\t\t\tinventoryItems[index] = itemToAdd;\n\t\t}\n\t\telse{\n\t\t\tSystem.out.println(\"Inventory full.\");\n\t\t}\n\t\t\n\t}", "public void addToSale(ItemDTO item, int quantity){\n this.saleInfo.addItem(item, quantity);\n }", "public void addItem(Item item) {\n\t\tObjects.requireNonNull(item);\n\t\titems.add(item);\n\t}", "public void addItemToCart(Item item) {\n itemList.add(item);\n this.totalTaxes = totalTaxes.add(item.getTaxes());\n this.totalPrices = totalPrices.add(item.getTtcPrice());\n }", "public void addGroceryItem(String item){\n groceryList.add(item);\n }", "public void carry(Item item)\n {\n\n // Check if item to be added doesn't go over carry limit.\n if (!((getPerson(PLAYER).getWeight() + item.getWeight()) > getPerson(PLAYER).getCarryLimit())){\n getPerson(PLAYER).getInventory().getItems().add(item); \n\n removeRoomItem(item);\n System.out.println();\n System.out.println(item.getName() + \" has been added to your bag.\");\n System.out.println(\"You are carrying \" + getPerson(PLAYER).getWeight()+ \"kg.\");\n }\n else {\n System.out.println(\"Your bag is too heavy to add more items.\");\n }\n\n }", "public void addItem(Item item) {\n inventory.add(item);\n Thread updateUserThread = userController.new UpdateUserThread(LoginActivity.USERLOGIN);\n updateUserThread.start();\n synchronized (updateUserThread) {\n try {\n updateUserThread.wait();\n } catch (InterruptedException e) {\n e.printStackTrace();\n }\n }\n }", "public void Add(String item) {\n byte[] bites = Utils.hexToBytes(item);\n mpBuffer += Utils.bytesToHex(bites);\n mLenght += bites.length;\n mBackOffset = mLenght;\n }", "public void addBasketItem(BasketItem newItem) {\n \n // If the sku already exists in the basket then update the quantity\n for(BasketItem item : basketItems) {\n if(item.getVariant().getSku().equals(newItem.getVariant().getSku())) {\n item.setQuantity(newItem.getQuantity() + item.getQuantity());\n return;\n }\n }\n \n // If the sku wasn't found above then add it to the basket\n basketItems.add(newItem);\n }", "public synchronized void addItem(IJABXAdvertisementItem item) {\n\t\tidMap.put(item.getSerialNo(), item);\n\t\titemList.add(item);\n\t}", "public boolean addItem(Item item) throws RemoteException, ClassNotFoundException, SQLException {\n Connection conn = DBConnection.getConnection();\n PreparedStatement stm = conn.prepareStatement(\"Insert into Item values(?,?,?,?)\");\n Object[] itemData = {item.getCode(), item.getDescription(), item.getUnitPrice(), item.getQtyOnHand()};\n for (int i = 0; i < itemData.length; i++) {\n stm.setObject(i + 1, itemData[i]);\n }\n return stm.executeUpdate() > 0;\n }", "public void add(CartItem cartItem){\n\t\tString book_id = cartItem.getBook().getBook_id();\n\t\tint count = cartItem.getCount();\n\t\t// if book exist in cart , change count\n\t\tif(map.containsKey(book_id)){ \n\t\t\tmap.get(book_id).setCount( map.get(book_id).getCount() + count); \n\t\t\t\t\t\n\t\t}else{\n\t\t\t// book not exist in cart, put it to map\n\t\t\tmap.put(cartItem.getBook().getBook_id(), cartItem);\n\t\t}\n\t\t\n\t}", "void addItem(DataRecord record);", "public void addItem(Item item)\n\t{\n\t\tif(inventory.size()<=9)\n\t\t\tinventory.add(item);\n\t\telse\n\t\t\tSystem.out.println(\"Inventory is full.\");\n\t}", "public void adicionar(ItemProduto item) {\n\t\titens.add(item);\n\t}", "public void addItemToInventory(Item ... items){\n this.inventory.addItems(items);\n }", "public synchronized void pdp_AddToBag() throws Exception {\n\n\t\t// Code to remove focus from zoomed image on page load\n\t\tif (!Utils.isDeviceMobile()) {\n\t\t\tActions actions = new Actions(driver);\n\t\t\tactions.moveToElement(productPrice()).build().perform();\n\t\t}\n\n\t\tutils.scrollToViewElement(driver, pdp_btn_AddToBag());\n\n\t\t// Handling Pop-Up that sometimes over shadows the ADD TO BAG button in mobile\n\t\tif (Utils.isDeviceMobile())\n\t\t\thandleBounceXOnPDP();\n\n\t\tpdp_btn_AddToBag().click();\n\t\t// Thread.sleep(3000);\n\n\t\tif (!utils.brand.equals(\"LGFP\"))\n\t\t\tAssert.assertTrue(utils.isElementPresent(driver, \"PDP_continueShopping\"),\n\t\t\t\t\t\"Item Added To Bag modal not displayed in mobile\");\n\t}", "public boolean add (E item)\n {\n add(size, item); // calling public method add\n return true;\n }", "@Override\n public void addItem(ItemType item) {\n if (curArrayIndex > items.length - 1) {\n System.out.println(item.getDetails() + \" - This bin is full. Item cannot be added!\");\n }\n else if (item.getWeight() + curWeight <= maxWeight) {\n curWeight += item.getWeight();\n items[curArrayIndex++] = item;\n }\n else {\n System.out.println(item.getDetails() + \" - Overweighted. This item cannot be added!\");\n }\n if (item.isFragile()) {\n setLabel(\"Fragile - Handle with Care\");\n }\n\n }", "@Test \n\tpublic void testAddItemToBasket() throws Exception {\n\t\tBBBRequest request = BBBRequestFactory.getInstance().createAddBasketItemRequest(BOOK_BASKET_ITEM_ISBN);\n\t\t\n\t\tString expectedUrl = AccountHelper.constructUrl(BBBRequestFactory.getInstance().getHostBasket(), PATH_MY_BASKETS_ITEMS);\n\t\tassertEquals(expectedUrl, request.getUrl());\n\t\t\n\t\tBBBResponse response = BBBRequestManager.getInstance().executeRequestSynchronously(request);\n\t\t\n\t\tif(response.getResponseCode() != HttpURLConnection.HTTP_OK) {\n\t\t\tfail(\"Error: \"+response.toString());\n\t\t}\n\t}", "public void addToShoppingCart(BarcodedItem item, int quantity) {\n\t\t\n\t\tBarcodedProduct prod = ProductDatabases.BARCODED_PRODUCT_DATABASE.get(item.getBarcode());\n\t\ttry {\n\t\t\t\n\t\t\tSHOPPING_CART_ARRAY[i][0] = prod.getDescription();\n\t\t\tSHOPPING_CART_ARRAY[i][1] = Integer.toString(quantity);\n\t\t\tBARCODEDITEM_ARRAY[i] = item;\n\t\t\tBARCODE_ARRAY[i] = prod.getBarcode();\n\t\t\tupdateTotalPayment(item, quantity);\n\t\t\t\n\t\t\ttotalNumOfItems += quantity;\n\t\t\t\n\t\t} catch (NullPointerException e) {\n\t\t\tthrow new SimulationException(e);\n\t\t}\n\t\t\n\t\ti++;\n\n\t}", "InvoiceItem addInvoiceItem(InvoiceItem invoiceItem);", "void add(T item);", "public Boolean add(Item item) {\n \tif (itemCollection.containsKey(item.getItemName())) {\r\n \tif (checkAvailability(item, 1)) {\r\n \t\titem.setQuatity(item.getQuatity() + 1);\r\n \t\titemCollection.put(item.getItemName(), item);\r\n \t\treturn true;\r\n \t} else return false;\r\n } else {\r\n \titemCollection.put(item.getItemName(), item);\r\n \treturn true;\r\n }\r\n \t\r\n }", "public void add(E item);", "public void addItemQty(int itemQty) {\n this.itemQty += itemQty;\n }", "public boolean addNewItem(VendItem item) {\n if (itemCount < maxItems) {\n stock[itemCount] = item;\n itemCount++;\n return true;\n } else {\n return false;\n }\n }", "private void addToInventory(Item item) {\n inventory.put(item.getName(), item);\n }", "public void addItemTrackBagging(Item item, boolean bool) {\n\t\tthis.purchaseList.setItemTrackBagging(item, bool);\n\t}", "public void addItem(Product p) {\n\t\t_items.add(p);\n\t}", "@Test\n\tpublic void testAddItem() throws IOException{\n\t\tModel.addItem(item, amount + \"\");\n\t\tassertEquals(amount + \"\", Model.hash.get(item));\n\t\t\n\t}", "public void addProduct(Product product);", "public void addDeliveryItem(RepositoryItem pItem) {\n mDeliveryItems.add(pItem);\n }", "public abstract void add(T item) throws RepositoryException;", "public void addItemInventory(Item item){\n playerItem.add(item);\n System.out.println(item.getDescription() + \" was taken \");\n System.out.println(item.getDescription() + \" was removed from the room\"); // add extra information to inform user that the item has been taken\n }", "public void addItem(LibraryItem item){\r\n\t\t// use add method of list.class\r\n\t\tthis.inverntory.add(item);\r\n\t}", "public void add( Order item ) {\n\t\tsuper.internalAdd(item);\n\t}", "void createItem (String name, String description, double price);", "public void addItem(int itemCollection_id, Item item) {\n\t\t// Start of user code for method addItem\n\t\t// End of user code\n\t}", "public void createItemInInventory(Item newItem) {\n\t\tinventory.createItem(newItem);\n\t}", "public boolean addItem(int itemId) {\n\t\tint nextFreeSlot = getSlotForId(1);\n\t\tif (itemId <= 0)\n\t\t\treturn false;\n\t\tif (nextFreeSlot != -1 && burdenedItems[nextFreeSlot] == 0) {\n\t\t\tburdenedItems[nextFreeSlot] = itemId;\n\t\t\treturn true;\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t}", "void addProduct(Product product);", "public void addItem(Item item, int x, int y) {\n\t\tInventory items = getItemsAt(x, y);\n\t\titems.add(item);\n\t}", "Cart addToCart(String productCode, Long quantity, String userId);", "public boolean add(T item) {\n boolean addSuccessful = items.add(item);\n if (addSuccessful) {\n currentSize = -1.0;\n inCapacitySize = -1.0;\n }\n return addSuccessful;\n }", "void add(E item);", "void add(E item);", "void add(E item);", "public void push(Object item) {\r\n\t\tdata.add(item);\r\n\r\n\t}", "@Override\n public boolean add(E item) {\n if (item == null)\n throw new IllegalArgumentException(\"null invalid value for bag\");\n Counter count = map.get(item);\n if (count == null)\n map.put(item, new Counter(1));\n else\n count.increment();\n return true;\n }" ]	[ "0.77443147", "0.7476917", "0.741118", "0.7304897", "0.7301947", "0.7208653", "0.7145338", "0.711069", "0.70689595", "0.70415354", "0.70066804", "0.6994895", "0.6994001", "0.69925237", "0.68947107", "0.6868234", "0.6858448", "0.6858448", "0.6808602", "0.6777978", "0.67766774", "0.6771593", "0.67604685", "0.67602617", "0.67563266", "0.6751058", "0.67292494", "0.6702793", "0.6694245", "0.6680888", "0.66747963", "0.66729474", "0.66662496", "0.6662122", "0.6601787", "0.6592122", "0.6581612", "0.65757644", "0.6569161", "0.65595484", "0.65534157", "0.6546828", "0.65448356", "0.6544519", "0.6544093", "0.6540297", "0.65343934", "0.65337753", "0.6530128", "0.65255004", "0.65082103", "0.6506644", "0.650555", "0.6454956", "0.6450313", "0.6428462", "0.6428332", "0.64218205", "0.6421286", "0.64180315", "0.64129347", "0.639253", "0.63883317", "0.6377651", "0.6375535", "0.6361691", "0.63455397", "0.6338932", "0.6329493", "0.631877", "0.63136154", "0.6308527", "0.6294394", "0.6287997", "0.62835735", "0.627882", "0.6278675", "0.6277221", "0.627131", "0.6269815", "0.6269208", "0.6262854", "0.6262487", "0.62602186", "0.62559354", "0.6248413", "0.6247848", "0.6234111", "0.6228511", "0.6217847", "0.6214761", "0.6207068", "0.62019545", "0.62008566", "0.6195236", "0.61882794", "0.6182714", "0.6182714", "0.6182714", "0.6175155", "0.61736256" ]	0.0	-1
Method used for Add Item to Shopping Bag.	public synchronized void addToBagSpecificSizeAndColor(WebDriver driver, int rowNo, int colNo, String size, String color) throws Exception { try { if (rowNo == 0 && colNo == 0) ReporterLog.actionMsg("PDP page already opened"); else openPDP(driver, rowNo, colNo); Reporter.log(Constants.DELIMITER + "***********Product Description Page: Add Item to Shopping Bag*********"); Thread.sleep(2000); // try { // Clicking on the Size Types on the Product Description Page / commented on 03/12 as still no size type being seen on the PDP */ // List<WebElement> sizesType=list_SizeType(); // for(WebElement el:sizesType) // { // if(el.getText().equalsIgnoreCase(sizetype)) // { // utils.clickWebElement(driver, el, "size selection"); // break; // } // } // }catch(AssertionError e) // { // ReporterLog.warn("No Size Type Present"); // } // catch (Exception e) { // ReporterLog.warn("No Size Type Present"); // } Thread.sleep(3000); Reporter.log(Constants.DELIMITER + "\| PDP Page: Click action is performed on Size Types"); if (color.isEmpty()) { selectColor(); } else { List<WebElement> colors = list_ColorSwatch(); if (XLUtils.env.equalsIgnoreCase("breakfix") \|\| XLUtils.env.equalsIgnoreCase("dryrun")) { for (WebElement el : colors) { el.click(); Utils.waitForPageLoaded(driver); if (utils.findElementByLocator(driver, "PDP_ColorSwatchName", "").getText().toUpperCase() .contains(color.toUpperCase())) { break; } } } else { // Clicking on the Color Swatch on the Product Description // Page for (WebElement el : colors) { if (el.getAttribute("title").contains(color)) { utils.clickWebElement(driver, el, "color selection"); break; } } } } Reporter.log(Constants.DELIMITER + "\| PDP Page: Click action is performed on Color Swatch"); Thread.sleep(2000); // Clicking on the Size Swatch on the Product Description Page if (utils.device.equals("desktop")) { if (size.isEmpty()) { selectSize(); } else { selectParticularSize(size); } } else { if (size.isEmpty()) { selectSizeMobile(); } else { selectParticularSizeMobile(size); } } Reporter.log(Constants.DELIMITER + "\| PDP Page: Click action is performed on Size Swatch"); Thread.sleep(2000); // Clicking on the Add To Bag Button on the Product Description Page pdp_AddToBag(); Reporter.log(Constants.DELIMITER + "\| Login Page: Click action is perfromed on Add To Bag button"); // Utils.waitForPageLoaded(driver); } catch (Exception e) { CustomException.throwExceptionError(e, "PDP", "Add To Bag action failed", driver); } catch (AssertionError e) { CustomException.throwAssertionError(e, "PDP", "Add To Bag action failed", driver); } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void add() {\n\t\tcart.add(item.createCopy());\n\t}", "void add(Item item);", "private void add(GroceryItem itemObj, String itemName) {\n\t\tbag.add(itemObj);\n\t\tSystem.out.println(itemName + \" added to the bag.\");\n\t}", "public abstract void addItem(AbstractItemAPI item);", "public void addItem(SoldItem item) {\n\n items.add(item);\n log.debug(\"Added \" + item.getName() + \" quantity of \" + item.getQuantity());\n\n }", "void addItem (Item toAdd){\n\t\t\tthis.items.add(toAdd);}", "@Override\n\t@RequestMapping(value=ZuelControllerValue.Manage+\"addItem\")\n\tpublic ZuelResult addItem(TbItem item) {\n\t\treturn service.addItem(item);\n\t}", "public void addProduct(Product item){\n inventory.add(item);\n }", "CatalogItem addCatalogItem(CatalogItem catalogItem);", "public void addItem(Item theItem) {\n\t\tif (inventory != null) {\n\t\t\tif (!isAuctionAtMaxCapacity()) {\n\t\t\t\t// Check item doesn't already exist as key in map\n\t\t\t\tif (inventory.containsKey(theItem)) {\n\t\t\t\t\t//ERROR CODE: ITEM ALREADY EXISTS\n\t\t\t\t\tSystem.out.println(\"That item already exists in the inventory.\");\n\t\t\t\t} else\n\t\t\t\t\tinventory.put(theItem, new ArrayList<Bid>());\n\t\t\t} else if (isAuctionAtMaxCapacity()) {\n\t\t\t\t//ERROR CODE: AUCTION AT MAX CAPACITY\n\t\t\t\tSystem.out.println(\"\\nYour auction is at maximum capacity\");\n\t\t\t} \n\t\t} else {\n\t\t\tinventory = new HashMap<Item, ArrayList<Bid>>();\n\t\t\tinventory.put(theItem, new ArrayList<Bid>());\t\t\t\t\n\t\t} \t\t\t\t\t\t\n\t}", "public int addItem(Item i);", "public void add(Item item) {\r\n\t\tcatalog.add(item);\r\n\t}", "@Override\r\n\tpublic void addItem(AbstractItemAPI item) {\n\t\titems.add(item);\r\n\t\t\r\n\t}", "public void addProduct(Product item)\n {\n stock.add(item);\n }", "public void addItem() {\n\t\tScanner scanner = new Scanner(System.in);\n\t\tSystem.out.print(\"Enter Item Name: \");\n\t\tString itemName = scanner.nextLine();\n\t\tSystem.out.print(\"Enter Item Description: \");\n\t\tString itemDescription = scanner.nextLine();\n\t\tSystem.out.print(\"Enter minimum bid price for item: $\");\n\t\tdouble basePrice = scanner.nextDouble();\n\t\tLocalDate createDate = LocalDate.now();\n\t\tItem item = new Item(itemName, itemDescription, basePrice, createDate);\n\t\taddItem(item);\n\t}", "public void store(Item item) {\n this.items.add(item);\n }", "public void addItem(Item item) {\n items.add(item);\n }", "public void addItem(Item item) {\n items.add(item);\n }", "public void addItem(Item item){\r\n items.add(item);\r\n total = items.getTotal();\r\n }", "public void addItem(Carryable g) {\r\n if (numItems < MAX_CART_ITEMS)\r\n cart[numItems++] = g;\r\n }", "public void addItem( Item anItem) {\n currentItems.add(anItem);\n }", "public void addItem(Item item) {\n _items.add(item);\n }", "public void addCostItem(CostItem item) throws CostManagerException;", "void addGroceryItem(String item) {\n\n\t}", "public void addItem(Item toAdd) {\n\t\tthis.items.add(toAdd);\n\t}", "void addCpItem(ICpItem item);", "public static void addItem(BackpackItem itemName) {\n\t\t\t\n\t\t\tfor (int i = 0; i <= backpackArr.length-1; i++) { //iterate through backpackArr\n\t\t\t\t\n\t\t\t\tif (backpackArr[i] == null) { // If there is no item in slot\n\t\t\t\t\tSystem.out.println(\"You added the \" + itemName + \" to your backpack.\");\n\t\t\t\t\tbackpackArr[i] = itemName; // puts new item into next empty BackpackItem index in backpackArr\n\t\t\t\t\tbreak; // breaks out of for loop (to prevent filling up all slots with the same item\n\t\t\t\t}\n\t\t\t}\n\t\t}", "@attribute(value = \"\", required = false)\r\n\tpublic void addItem(Item i) {\r\n\t}", "public boolean add(Type item);", "public void addItem(Product p, int qty){\n //store info as an InventoryItem and add to items array\n this.items.add(new InventoryItem(p, qty));\n }", "@Override\n public void addItem(P_CK t) {\n \n }", "public void addItem(Item i) {\n this.items.add(i);\n }", "public void addItem(Item item) {\r\n\t\titems.add(item);\r\n\t}", "public boolean addPlayerItem(PlayerItem playerItem);", "public void additem(String item){\n\t\trep.takeitem(\"take \" + item);\n\t}", "public void addItem() {\r\n\t\tFacesContext fc = FacesContext.getCurrentInstance();\r\n\t\tif (itemInvoice.getQuantidade() <= itemPO.getQuantidadeSaldo()) {\r\n\t\t\tBigDecimal total = itemInvoice.getPrecoUnit().multiply(\r\n\t\t\t\t\tnew BigDecimal(itemInvoice.getQuantidade()));\r\n\t\t\titemInvoice.setTotal(total);\r\n\t\t\tif (!editarItem) {\r\n\r\n\t\t\t\tif (itemInvoice.getPrecoUnit() == null) {\r\n\t\t\t\t\titemInvoice.setPrecoUnit(new BigDecimal(0.0));\r\n\t\t\t\t}\r\n\t\t\t\tif (itemInvoice.getQuantidade() == null) {\r\n\t\t\t\t\titemInvoice.setQuantidade(0);\r\n\t\t\t\t}\r\n\t\t\t\titemInvoice.setInvoice(invoice);\r\n\r\n\t\t\t\tinvoice.getItensInvoice().add(itemInvoice);\r\n\r\n\t\t\t} else {\r\n\t\t\t\tinvoice.getItensInvoice().set(\r\n\t\t\t\t\t\tinvoice.getItensInvoice().indexOf(itemInvoice),\r\n\t\t\t\t\t\titemInvoice);\r\n\t\t\t}\r\n\t\t\tcarregarTotais();\r\n\t\t\tinicializarItemInvoice();\r\n\t\t\trequired = false;\r\n\t\t} else {\r\n\r\n\t\t\tMessages.adicionaMensagemDeInfo(TemplateMessageHelper.getMessage(\r\n\t\t\t\t\tMensagensSistema.INVOICE, \"lblQtdMaioSaldo\", fc\r\n\t\t\t\t\t\t\t.getViewRoot().getLocale()));\r\n\t\t}\r\n\t}", "public void addItem(Item item) {\n\t\titems.add(item);\n\t}", "public Item add(Item item) {\n Item existing = getItem(item.getItemId());\n if (existing != null) {\n return existing.incrementQuantity(item.getQuantity());\n }\n else {\n items.add(item.setCart(this));\n return item;\n }\n }", "public void addItem(final Item item) {\n\t\tnumberOfItems++;\n\t}", "public void addItem(Item item) {\n\t\thashOperations.put(KEY, item.getId(), item);\n\t\t//valueOperations.set(KEY + item.getId(), item);\n\t}", "public Item addItem(Item item) {\r\n uniqueCounter++;\r\n items.add(item);\r\n return item;\r\n }", "public void addItem(Object obj) {\n items.add(obj);\n }", "void addFruit(Fruit item){\n\t\tfruitList.add(item);\n\t}", "public void addItem(String i) {\n\t\tItem item = Item.getItem(ItemList, i);\n\t Inventory.add(item);\n\t inventoryList.getItems().add(i);\n\n\t}", "Item addItem(IDAOSession session, String title, String description,\n\t\t\tint userId);", "@Override\n public Optional<FridgeItemEntity> addItem(String fridgeId, String itemId, String itemType) {\n return Optional.empty();\n }", "@RequestMapping(method=RequestMethod.POST, value = \"/item/{id}\", produces = \"application/json\")\n public void addItem(@RequestBody Item itemToAdd)\n {\n this.itemRepository.addItem(itemToAdd);\n }", "protected void addInventoryItemType() {\n\t\tProperties props = new Properties();\n\n\t\t/* DEBUG\n\t\t\n\t\tSystem.out.println(typeNameTF.getText());\n\t\tSystem.out.println(unitsTF.getText());\n\t\tSystem.out.println(unitMeasureTF.getText());\n\t\tSystem.out.println(validityDaysTF.getText());\n\t\tSystem.out.println(reorderPointTF.getText());\n\t\tSystem.out.println(notesTF.getText());\n\t\tSystem.out.println(statusCB.getValue());\n\t\n\t\t/ \n\n\t\t// Set the values.\n\t\tprops.setProperty(\"ItemTypeName\", typeNameTF.getText());\n\t\tprops.setProperty(\"Units\", unitsTF.getText());\n\t\tprops.setProperty(\"UnitMeasure\", unitMeasureTF.getText());\n\t\tprops.setProperty(\"ValidityDays\", validityDaysTF.getText());\n\t\tprops.setProperty(\"ReorderPoint\", reorderPointTF.getText());\n\t\tprops.setProperty(\"Notes\", notesTF.getText());\n\t\tprops.setProperty(\"Status\", (String) statusCB.getValue());\n\n\t\t// Create the inventory item type.\n\t\tInventoryItemType iit = new InventoryItemType(props);\n\n\t\t// Save it into the database.\n\t\tiit.update();\n\n\t\tpopulateFields();\n\t\t\n\t\t// Display message on GUI.\n\t\t//submitBTN.setVisible(false);\n\t\tcancelBTN.setText(\"Back\");\n\t\tmessageLBL.setText(\"Inventory Item Type added.\");\n\t}", "public String addItem(Item item){\n EntityManager em = emf.createEntityManager();\n try{\n utx.begin();\n em.joinTransaction();\n for(Tag tag : item.getTags()) {\n tag.incrementRefCount();\n tag.getItems().add(item);\n em.merge(tag);\n }\n em.persist(item);\n utx.commit();\n // index item\n if(bDebug) System.out.println(\"\\n**Item id of new item is : \" + item.getItemID());\n indexItem(new IndexDocument(item));\n \n } catch(Exception exe){\n try {\n utx.rollback();\n } catch (Exception e) {}\n throw new RuntimeException(\"Error persisting item\", exe);\n } finally {\n em.close();\n }\n return item.getItemID();\n }", "public void addItemInventory(Item item){\r\n playerItem.add(item);\r\n System.out.println(item.getDescription() + \" was taken \");\r\n }", "public void addItem(Item e) {\n\t\tItem o = new Item(e);\n\t\titems.add(o);\n\t}", "public void addItem(Item itemToAdd){\n\t\tif(!isFull()){\n\t\t\tint index = findFreeSlot();\n\t\t\tinventoryItems[index] = itemToAdd;\n\t\t}\n\t\telse{\n\t\t\tSystem.out.println(\"Inventory full.\");\n\t\t}\n\t\t\n\t}", "public void addToSale(ItemDTO item, int quantity){\n this.saleInfo.addItem(item, quantity);\n }", "public void addItem(Item item) {\n\t\tObjects.requireNonNull(item);\n\t\titems.add(item);\n\t}", "public void addItemToCart(Item item) {\n itemList.add(item);\n this.totalTaxes = totalTaxes.add(item.getTaxes());\n this.totalPrices = totalPrices.add(item.getTtcPrice());\n }", "public void carry(Item item)\n {\n\n // Check if item to be added doesn't go over carry limit.\n if (!((getPerson(PLAYER).getWeight() + item.getWeight()) > getPerson(PLAYER).getCarryLimit())){\n getPerson(PLAYER).getInventory().getItems().add(item); \n\n removeRoomItem(item);\n System.out.println();\n System.out.println(item.getName() + \" has been added to your bag.\");\n System.out.println(\"You are carrying \" + getPerson(PLAYER).getWeight()+ \"kg.\");\n }\n else {\n System.out.println(\"Your bag is too heavy to add more items.\");\n }\n\n }", "public void addGroceryItem(String item){\n groceryList.add(item);\n }", "public void addItem(Item item) {\n inventory.add(item);\n Thread updateUserThread = userController.new UpdateUserThread(LoginActivity.USERLOGIN);\n updateUserThread.start();\n synchronized (updateUserThread) {\n try {\n updateUserThread.wait();\n } catch (InterruptedException e) {\n e.printStackTrace();\n }\n }\n }", "public void Add(String item) {\n byte[] bites = Utils.hexToBytes(item);\n mpBuffer += Utils.bytesToHex(bites);\n mLenght += bites.length;\n mBackOffset = mLenght;\n }", "public void addBasketItem(BasketItem newItem) {\n \n // If the sku already exists in the basket then update the quantity\n for(BasketItem item : basketItems) {\n if(item.getVariant().getSku().equals(newItem.getVariant().getSku())) {\n item.setQuantity(newItem.getQuantity() + item.getQuantity());\n return;\n }\n }\n \n // If the sku wasn't found above then add it to the basket\n basketItems.add(newItem);\n }", "public synchronized void addItem(IJABXAdvertisementItem item) {\n\t\tidMap.put(item.getSerialNo(), item);\n\t\titemList.add(item);\n\t}", "public boolean addItem(Item item) throws RemoteException, ClassNotFoundException, SQLException {\n Connection conn = DBConnection.getConnection();\n PreparedStatement stm = conn.prepareStatement(\"Insert into Item values(?,?,?,?)\");\n Object[] itemData = {item.getCode(), item.getDescription(), item.getUnitPrice(), item.getQtyOnHand()};\n for (int i = 0; i < itemData.length; i++) {\n stm.setObject(i + 1, itemData[i]);\n }\n return stm.executeUpdate() > 0;\n }", "public void add(CartItem cartItem){\n\t\tString book_id = cartItem.getBook().getBook_id();\n\t\tint count = cartItem.getCount();\n\t\t// if book exist in cart , change count\n\t\tif(map.containsKey(book_id)){ \n\t\t\tmap.get(book_id).setCount( map.get(book_id).getCount() + count); \n\t\t\t\t\t\n\t\t}else{\n\t\t\t// book not exist in cart, put it to map\n\t\t\tmap.put(cartItem.getBook().getBook_id(), cartItem);\n\t\t}\n\t\t\n\t}", "void addItem(DataRecord record);", "public void addItem(Item item)\n\t{\n\t\tif(inventory.size()<=9)\n\t\t\tinventory.add(item);\n\t\telse\n\t\t\tSystem.out.println(\"Inventory is full.\");\n\t}", "public void adicionar(ItemProduto item) {\n\t\titens.add(item);\n\t}", "public void addItemToInventory(Item ... items){\n this.inventory.addItems(items);\n }", "public synchronized void pdp_AddToBag() throws Exception {\n\n\t\t// Code to remove focus from zoomed image on page load\n\t\tif (!Utils.isDeviceMobile()) {\n\t\t\tActions actions = new Actions(driver);\n\t\t\tactions.moveToElement(productPrice()).build().perform();\n\t\t}\n\n\t\tutils.scrollToViewElement(driver, pdp_btn_AddToBag());\n\n\t\t// Handling Pop-Up that sometimes over shadows the ADD TO BAG button in mobile\n\t\tif (Utils.isDeviceMobile())\n\t\t\thandleBounceXOnPDP();\n\n\t\tpdp_btn_AddToBag().click();\n\t\t// Thread.sleep(3000);\n\n\t\tif (!utils.brand.equals(\"LGFP\"))\n\t\t\tAssert.assertTrue(utils.isElementPresent(driver, \"PDP_continueShopping\"),\n\t\t\t\t\t\"Item Added To Bag modal not displayed in mobile\");\n\t}", "public boolean add (E item)\n {\n add(size, item); // calling public method add\n return true;\n }", "@Override\n public void addItem(ItemType item) {\n if (curArrayIndex > items.length - 1) {\n System.out.println(item.getDetails() + \" - This bin is full. Item cannot be added!\");\n }\n else if (item.getWeight() + curWeight <= maxWeight) {\n curWeight += item.getWeight();\n items[curArrayIndex++] = item;\n }\n else {\n System.out.println(item.getDetails() + \" - Overweighted. This item cannot be added!\");\n }\n if (item.isFragile()) {\n setLabel(\"Fragile - Handle with Care\");\n }\n\n }", "@Test \n\tpublic void testAddItemToBasket() throws Exception {\n\t\tBBBRequest request = BBBRequestFactory.getInstance().createAddBasketItemRequest(BOOK_BASKET_ITEM_ISBN);\n\t\t\n\t\tString expectedUrl = AccountHelper.constructUrl(BBBRequestFactory.getInstance().getHostBasket(), PATH_MY_BASKETS_ITEMS);\n\t\tassertEquals(expectedUrl, request.getUrl());\n\t\t\n\t\tBBBResponse response = BBBRequestManager.getInstance().executeRequestSynchronously(request);\n\t\t\n\t\tif(response.getResponseCode() != HttpURLConnection.HTTP_OK) {\n\t\t\tfail(\"Error: \"+response.toString());\n\t\t}\n\t}", "public void addToShoppingCart(BarcodedItem item, int quantity) {\n\t\t\n\t\tBarcodedProduct prod = ProductDatabases.BARCODED_PRODUCT_DATABASE.get(item.getBarcode());\n\t\ttry {\n\t\t\t\n\t\t\tSHOPPING_CART_ARRAY[i][0] = prod.getDescription();\n\t\t\tSHOPPING_CART_ARRAY[i][1] = Integer.toString(quantity);\n\t\t\tBARCODEDITEM_ARRAY[i] = item;\n\t\t\tBARCODE_ARRAY[i] = prod.getBarcode();\n\t\t\tupdateTotalPayment(item, quantity);\n\t\t\t\n\t\t\ttotalNumOfItems += quantity;\n\t\t\t\n\t\t} catch (NullPointerException e) {\n\t\t\tthrow new SimulationException(e);\n\t\t}\n\t\t\n\t\ti++;\n\n\t}", "InvoiceItem addInvoiceItem(InvoiceItem invoiceItem);", "void add(T item);", "public Boolean add(Item item) {\n \tif (itemCollection.containsKey(item.getItemName())) {\r\n \tif (checkAvailability(item, 1)) {\r\n \t\titem.setQuatity(item.getQuatity() + 1);\r\n \t\titemCollection.put(item.getItemName(), item);\r\n \t\treturn true;\r\n \t} else return false;\r\n } else {\r\n \titemCollection.put(item.getItemName(), item);\r\n \treturn true;\r\n }\r\n \t\r\n }", "public void add(E item);", "public void addItemQty(int itemQty) {\n this.itemQty += itemQty;\n }", "public boolean addNewItem(VendItem item) {\n if (itemCount < maxItems) {\n stock[itemCount] = item;\n itemCount++;\n return true;\n } else {\n return false;\n }\n }", "private void addToInventory(Item item) {\n inventory.put(item.getName(), item);\n }", "public void addItemTrackBagging(Item item, boolean bool) {\n\t\tthis.purchaseList.setItemTrackBagging(item, bool);\n\t}", "public void addItem(Product p) {\n\t\t_items.add(p);\n\t}", "@Test\n\tpublic void testAddItem() throws IOException{\n\t\tModel.addItem(item, amount + \"\");\n\t\tassertEquals(amount + \"\", Model.hash.get(item));\n\t\t\n\t}", "public void addProduct(Product product);", "public void addDeliveryItem(RepositoryItem pItem) {\n mDeliveryItems.add(pItem);\n }", "public abstract void add(T item) throws RepositoryException;", "public void addItemInventory(Item item){\n playerItem.add(item);\n System.out.println(item.getDescription() + \" was taken \");\n System.out.println(item.getDescription() + \" was removed from the room\"); // add extra information to inform user that the item has been taken\n }", "public void addItem(LibraryItem item){\r\n\t\t// use add method of list.class\r\n\t\tthis.inverntory.add(item);\r\n\t}", "public void add( Order item ) {\n\t\tsuper.internalAdd(item);\n\t}", "void createItem (String name, String description, double price);", "public void addItem(int itemCollection_id, Item item) {\n\t\t// Start of user code for method addItem\n\t\t// End of user code\n\t}", "public void createItemInInventory(Item newItem) {\n\t\tinventory.createItem(newItem);\n\t}", "public boolean addItem(int itemId) {\n\t\tint nextFreeSlot = getSlotForId(1);\n\t\tif (itemId <= 0)\n\t\t\treturn false;\n\t\tif (nextFreeSlot != -1 && burdenedItems[nextFreeSlot] == 0) {\n\t\t\tburdenedItems[nextFreeSlot] = itemId;\n\t\t\treturn true;\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t}", "void addProduct(Product product);", "public void addItem(Item item, int x, int y) {\n\t\tInventory items = getItemsAt(x, y);\n\t\titems.add(item);\n\t}", "Cart addToCart(String productCode, Long quantity, String userId);", "public boolean add(T item) {\n boolean addSuccessful = items.add(item);\n if (addSuccessful) {\n currentSize = -1.0;\n inCapacitySize = -1.0;\n }\n return addSuccessful;\n }", "void add(E item);", "void add(E item);", "void add(E item);", "public void push(Object item) {\r\n\t\tdata.add(item);\r\n\r\n\t}", "@Override\n public boolean add(E item) {\n if (item == null)\n throw new IllegalArgumentException(\"null invalid value for bag\");\n Counter count = map.get(item);\n if (count == null)\n map.put(item, new Counter(1));\n else\n count.increment();\n return true;\n }" ]	[ "0.7743952", "0.74766076", "0.7410577", "0.73037577", "0.73001915", "0.72080606", "0.71435213", "0.7110403", "0.70685333", "0.7040748", "0.7006761", "0.6993661", "0.6992491", "0.699144", "0.6894614", "0.6867579", "0.68570817", "0.68570817", "0.6807242", "0.6777041", "0.6775744", "0.6770216", "0.67589843", "0.6758922", "0.6755941", "0.6750395", "0.67290175", "0.670217", "0.66935796", "0.6681185", "0.6674513", "0.66727346", "0.6664898", "0.6661207", "0.66010386", "0.6591052", "0.65801847", "0.65749073", "0.6567817", "0.65580654", "0.6552411", "0.65450436", "0.6545043", "0.6544594", "0.6544443", "0.65396357", "0.65333855", "0.6533223", "0.6528595", "0.6524887", "0.650776", "0.6506157", "0.6504258", "0.6453423", "0.644864", "0.64272684", "0.6427132", "0.64197874", "0.64195776", "0.6417603", "0.641119", "0.6391088", "0.6386833", "0.63774526", "0.6374688", "0.6360681", "0.63456255", "0.63390857", "0.632817", "0.63178396", "0.63145965", "0.63075763", "0.6294273", "0.62882733", "0.6281815", "0.6278771", "0.6278172", "0.62758565", "0.6270483", "0.6268878", "0.62688375", "0.62628067", "0.62623274", "0.6259299", "0.625573", "0.6247533", "0.6246286", "0.6233064", "0.6228976", "0.62160194", "0.62144995", "0.62056684", "0.6201904", "0.620056", "0.61952615", "0.6186532", "0.61828554", "0.61828554", "0.61828554", "0.617463", "0.61724174" ]	0.0	-1
Method used for Add Item to Shopping Bag.	public synchronized void openPDP(WebDriver driver, int rowNo, int columnNo) throws Exception { String pdpURL; try { pdpURL = xlUtils.AccessExcelSheetForCellData(Constants.SHEETNAME_SEARCH, rowNo, 1); searcPage.searchByData(pdpURL); if (Utils.device.equals("desktop")) driver.navigate().refresh(); Utils.waitForPageLoaded(driver); } catch (Exception e) { CustomException.throwExceptionError(e, "PDP", "Add To Bag action failed", driver); } catch (AssertionError e) { CustomException.throwAssertionError(e, "PDP", "Add To Bag action failed", driver); } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void add() {\n\t\tcart.add(item.createCopy());\n\t}", "void add(Item item);", "private void add(GroceryItem itemObj, String itemName) {\n\t\tbag.add(itemObj);\n\t\tSystem.out.println(itemName + \" added to the bag.\");\n\t}", "public abstract void addItem(AbstractItemAPI item);", "public void addItem(SoldItem item) {\n\n items.add(item);\n log.debug(\"Added \" + item.getName() + \" quantity of \" + item.getQuantity());\n\n }", "void addItem (Item toAdd){\n\t\t\tthis.items.add(toAdd);}", "@Override\n\t@RequestMapping(value=ZuelControllerValue.Manage+\"addItem\")\n\tpublic ZuelResult addItem(TbItem item) {\n\t\treturn service.addItem(item);\n\t}", "public void addProduct(Product item){\n inventory.add(item);\n }", "CatalogItem addCatalogItem(CatalogItem catalogItem);", "public void addItem(Item theItem) {\n\t\tif (inventory != null) {\n\t\t\tif (!isAuctionAtMaxCapacity()) {\n\t\t\t\t// Check item doesn't already exist as key in map\n\t\t\t\tif (inventory.containsKey(theItem)) {\n\t\t\t\t\t//ERROR CODE: ITEM ALREADY EXISTS\n\t\t\t\t\tSystem.out.println(\"That item already exists in the inventory.\");\n\t\t\t\t} else\n\t\t\t\t\tinventory.put(theItem, new ArrayList<Bid>());\n\t\t\t} else if (isAuctionAtMaxCapacity()) {\n\t\t\t\t//ERROR CODE: AUCTION AT MAX CAPACITY\n\t\t\t\tSystem.out.println(\"\\nYour auction is at maximum capacity\");\n\t\t\t} \n\t\t} else {\n\t\t\tinventory = new HashMap<Item, ArrayList<Bid>>();\n\t\t\tinventory.put(theItem, new ArrayList<Bid>());\t\t\t\t\n\t\t} \t\t\t\t\t\t\n\t}", "public int addItem(Item i);", "public void add(Item item) {\r\n\t\tcatalog.add(item);\r\n\t}", "@Override\r\n\tpublic void addItem(AbstractItemAPI item) {\n\t\titems.add(item);\r\n\t\t\r\n\t}", "public void addProduct(Product item)\n {\n stock.add(item);\n }", "public void addItem() {\n\t\tScanner scanner = new Scanner(System.in);\n\t\tSystem.out.print(\"Enter Item Name: \");\n\t\tString itemName = scanner.nextLine();\n\t\tSystem.out.print(\"Enter Item Description: \");\n\t\tString itemDescription = scanner.nextLine();\n\t\tSystem.out.print(\"Enter minimum bid price for item: $\");\n\t\tdouble basePrice = scanner.nextDouble();\n\t\tLocalDate createDate = LocalDate.now();\n\t\tItem item = new Item(itemName, itemDescription, basePrice, createDate);\n\t\taddItem(item);\n\t}", "public void store(Item item) {\n this.items.add(item);\n }", "public void addItem(Item item) {\n items.add(item);\n }", "public void addItem(Item item) {\n items.add(item);\n }", "public void addItem(Item item){\r\n items.add(item);\r\n total = items.getTotal();\r\n }", "public void addItem(Carryable g) {\r\n if (numItems < MAX_CART_ITEMS)\r\n cart[numItems++] = g;\r\n }", "public void addItem( Item anItem) {\n currentItems.add(anItem);\n }", "public void addItem(Item item) {\n _items.add(item);\n }", "public void addCostItem(CostItem item) throws CostManagerException;", "void addGroceryItem(String item) {\n\n\t}", "public void addItem(Item toAdd) {\n\t\tthis.items.add(toAdd);\n\t}", "void addCpItem(ICpItem item);", "public static void addItem(BackpackItem itemName) {\n\t\t\t\n\t\t\tfor (int i = 0; i <= backpackArr.length-1; i++) { //iterate through backpackArr\n\t\t\t\t\n\t\t\t\tif (backpackArr[i] == null) { // If there is no item in slot\n\t\t\t\t\tSystem.out.println(\"You added the \" + itemName + \" to your backpack.\");\n\t\t\t\t\tbackpackArr[i] = itemName; // puts new item into next empty BackpackItem index in backpackArr\n\t\t\t\t\tbreak; // breaks out of for loop (to prevent filling up all slots with the same item\n\t\t\t\t}\n\t\t\t}\n\t\t}", "@attribute(value = \"\", required = false)\r\n\tpublic void addItem(Item i) {\r\n\t}", "public boolean add(Type item);", "public void addItem(Product p, int qty){\n //store info as an InventoryItem and add to items array\n this.items.add(new InventoryItem(p, qty));\n }", "@Override\n public void addItem(P_CK t) {\n \n }", "public void addItem(Item i) {\n this.items.add(i);\n }", "public void addItem(Item item) {\r\n\t\titems.add(item);\r\n\t}", "public boolean addPlayerItem(PlayerItem playerItem);", "public void additem(String item){\n\t\trep.takeitem(\"take \" + item);\n\t}", "public void addItem() {\r\n\t\tFacesContext fc = FacesContext.getCurrentInstance();\r\n\t\tif (itemInvoice.getQuantidade() <= itemPO.getQuantidadeSaldo()) {\r\n\t\t\tBigDecimal total = itemInvoice.getPrecoUnit().multiply(\r\n\t\t\t\t\tnew BigDecimal(itemInvoice.getQuantidade()));\r\n\t\t\titemInvoice.setTotal(total);\r\n\t\t\tif (!editarItem) {\r\n\r\n\t\t\t\tif (itemInvoice.getPrecoUnit() == null) {\r\n\t\t\t\t\titemInvoice.setPrecoUnit(new BigDecimal(0.0));\r\n\t\t\t\t}\r\n\t\t\t\tif (itemInvoice.getQuantidade() == null) {\r\n\t\t\t\t\titemInvoice.setQuantidade(0);\r\n\t\t\t\t}\r\n\t\t\t\titemInvoice.setInvoice(invoice);\r\n\r\n\t\t\t\tinvoice.getItensInvoice().add(itemInvoice);\r\n\r\n\t\t\t} else {\r\n\t\t\t\tinvoice.getItensInvoice().set(\r\n\t\t\t\t\t\tinvoice.getItensInvoice().indexOf(itemInvoice),\r\n\t\t\t\t\t\titemInvoice);\r\n\t\t\t}\r\n\t\t\tcarregarTotais();\r\n\t\t\tinicializarItemInvoice();\r\n\t\t\trequired = false;\r\n\t\t} else {\r\n\r\n\t\t\tMessages.adicionaMensagemDeInfo(TemplateMessageHelper.getMessage(\r\n\t\t\t\t\tMensagensSistema.INVOICE, \"lblQtdMaioSaldo\", fc\r\n\t\t\t\t\t\t\t.getViewRoot().getLocale()));\r\n\t\t}\r\n\t}", "public void addItem(Item item) {\n\t\titems.add(item);\n\t}", "public Item add(Item item) {\n Item existing = getItem(item.getItemId());\n if (existing != null) {\n return existing.incrementQuantity(item.getQuantity());\n }\n else {\n items.add(item.setCart(this));\n return item;\n }\n }", "public void addItem(final Item item) {\n\t\tnumberOfItems++;\n\t}", "public void addItem(Item item) {\n\t\thashOperations.put(KEY, item.getId(), item);\n\t\t//valueOperations.set(KEY + item.getId(), item);\n\t}", "public Item addItem(Item item) {\r\n uniqueCounter++;\r\n items.add(item);\r\n return item;\r\n }", "void addFruit(Fruit item){\n\t\tfruitList.add(item);\n\t}", "public void addItem(Object obj) {\n items.add(obj);\n }", "Item addItem(IDAOSession session, String title, String description,\n\t\t\tint userId);", "public void addItem(String i) {\n\t\tItem item = Item.getItem(ItemList, i);\n\t Inventory.add(item);\n\t inventoryList.getItems().add(i);\n\n\t}", "@Override\n public Optional<FridgeItemEntity> addItem(String fridgeId, String itemId, String itemType) {\n return Optional.empty();\n }", "@RequestMapping(method=RequestMethod.POST, value = \"/item/{id}\", produces = \"application/json\")\n public void addItem(@RequestBody Item itemToAdd)\n {\n this.itemRepository.addItem(itemToAdd);\n }", "protected void addInventoryItemType() {\n\t\tProperties props = new Properties();\n\n\t\t/* DEBUG\n\t\t\n\t\tSystem.out.println(typeNameTF.getText());\n\t\tSystem.out.println(unitsTF.getText());\n\t\tSystem.out.println(unitMeasureTF.getText());\n\t\tSystem.out.println(validityDaysTF.getText());\n\t\tSystem.out.println(reorderPointTF.getText());\n\t\tSystem.out.println(notesTF.getText());\n\t\tSystem.out.println(statusCB.getValue());\n\t\n\t\t/ \n\n\t\t// Set the values.\n\t\tprops.setProperty(\"ItemTypeName\", typeNameTF.getText());\n\t\tprops.setProperty(\"Units\", unitsTF.getText());\n\t\tprops.setProperty(\"UnitMeasure\", unitMeasureTF.getText());\n\t\tprops.setProperty(\"ValidityDays\", validityDaysTF.getText());\n\t\tprops.setProperty(\"ReorderPoint\", reorderPointTF.getText());\n\t\tprops.setProperty(\"Notes\", notesTF.getText());\n\t\tprops.setProperty(\"Status\", (String) statusCB.getValue());\n\n\t\t// Create the inventory item type.\n\t\tInventoryItemType iit = new InventoryItemType(props);\n\n\t\t// Save it into the database.\n\t\tiit.update();\n\n\t\tpopulateFields();\n\t\t\n\t\t// Display message on GUI.\n\t\t//submitBTN.setVisible(false);\n\t\tcancelBTN.setText(\"Back\");\n\t\tmessageLBL.setText(\"Inventory Item Type added.\");\n\t}", "public String addItem(Item item){\n EntityManager em = emf.createEntityManager();\n try{\n utx.begin();\n em.joinTransaction();\n for(Tag tag : item.getTags()) {\n tag.incrementRefCount();\n tag.getItems().add(item);\n em.merge(tag);\n }\n em.persist(item);\n utx.commit();\n // index item\n if(bDebug) System.out.println(\"\\n**Item id of new item is : \" + item.getItemID());\n indexItem(new IndexDocument(item));\n \n } catch(Exception exe){\n try {\n utx.rollback();\n } catch (Exception e) {}\n throw new RuntimeException(\"Error persisting item\", exe);\n } finally {\n em.close();\n }\n return item.getItemID();\n }", "public void addItemInventory(Item item){\r\n playerItem.add(item);\r\n System.out.println(item.getDescription() + \" was taken \");\r\n }", "public void addItem(Item e) {\n\t\tItem o = new Item(e);\n\t\titems.add(o);\n\t}", "public void addItem(Item itemToAdd){\n\t\tif(!isFull()){\n\t\t\tint index = findFreeSlot();\n\t\t\tinventoryItems[index] = itemToAdd;\n\t\t}\n\t\telse{\n\t\t\tSystem.out.println(\"Inventory full.\");\n\t\t}\n\t\t\n\t}", "public void addToSale(ItemDTO item, int quantity){\n this.saleInfo.addItem(item, quantity);\n }", "public void addItem(Item item) {\n\t\tObjects.requireNonNull(item);\n\t\titems.add(item);\n\t}", "public void addItemToCart(Item item) {\n itemList.add(item);\n this.totalTaxes = totalTaxes.add(item.getTaxes());\n this.totalPrices = totalPrices.add(item.getTtcPrice());\n }", "public void addGroceryItem(String item){\n groceryList.add(item);\n }", "public void carry(Item item)\n {\n\n // Check if item to be added doesn't go over carry limit.\n if (!((getPerson(PLAYER).getWeight() + item.getWeight()) > getPerson(PLAYER).getCarryLimit())){\n getPerson(PLAYER).getInventory().getItems().add(item); \n\n removeRoomItem(item);\n System.out.println();\n System.out.println(item.getName() + \" has been added to your bag.\");\n System.out.println(\"You are carrying \" + getPerson(PLAYER).getWeight()+ \"kg.\");\n }\n else {\n System.out.println(\"Your bag is too heavy to add more items.\");\n }\n\n }", "public void addItem(Item item) {\n inventory.add(item);\n Thread updateUserThread = userController.new UpdateUserThread(LoginActivity.USERLOGIN);\n updateUserThread.start();\n synchronized (updateUserThread) {\n try {\n updateUserThread.wait();\n } catch (InterruptedException e) {\n e.printStackTrace();\n }\n }\n }", "public void Add(String item) {\n byte[] bites = Utils.hexToBytes(item);\n mpBuffer += Utils.bytesToHex(bites);\n mLenght += bites.length;\n mBackOffset = mLenght;\n }", "public void addBasketItem(BasketItem newItem) {\n \n // If the sku already exists in the basket then update the quantity\n for(BasketItem item : basketItems) {\n if(item.getVariant().getSku().equals(newItem.getVariant().getSku())) {\n item.setQuantity(newItem.getQuantity() + item.getQuantity());\n return;\n }\n }\n \n // If the sku wasn't found above then add it to the basket\n basketItems.add(newItem);\n }", "public synchronized void addItem(IJABXAdvertisementItem item) {\n\t\tidMap.put(item.getSerialNo(), item);\n\t\titemList.add(item);\n\t}", "public boolean addItem(Item item) throws RemoteException, ClassNotFoundException, SQLException {\n Connection conn = DBConnection.getConnection();\n PreparedStatement stm = conn.prepareStatement(\"Insert into Item values(?,?,?,?)\");\n Object[] itemData = {item.getCode(), item.getDescription(), item.getUnitPrice(), item.getQtyOnHand()};\n for (int i = 0; i < itemData.length; i++) {\n stm.setObject(i + 1, itemData[i]);\n }\n return stm.executeUpdate() > 0;\n }", "public void add(CartItem cartItem){\n\t\tString book_id = cartItem.getBook().getBook_id();\n\t\tint count = cartItem.getCount();\n\t\t// if book exist in cart , change count\n\t\tif(map.containsKey(book_id)){ \n\t\t\tmap.get(book_id).setCount( map.get(book_id).getCount() + count); \n\t\t\t\t\t\n\t\t}else{\n\t\t\t// book not exist in cart, put it to map\n\t\t\tmap.put(cartItem.getBook().getBook_id(), cartItem);\n\t\t}\n\t\t\n\t}", "void addItem(DataRecord record);", "public void addItem(Item item)\n\t{\n\t\tif(inventory.size()<=9)\n\t\t\tinventory.add(item);\n\t\telse\n\t\t\tSystem.out.println(\"Inventory is full.\");\n\t}", "public void adicionar(ItemProduto item) {\n\t\titens.add(item);\n\t}", "public void addItemToInventory(Item ... items){\n this.inventory.addItems(items);\n }", "public synchronized void pdp_AddToBag() throws Exception {\n\n\t\t// Code to remove focus from zoomed image on page load\n\t\tif (!Utils.isDeviceMobile()) {\n\t\t\tActions actions = new Actions(driver);\n\t\t\tactions.moveToElement(productPrice()).build().perform();\n\t\t}\n\n\t\tutils.scrollToViewElement(driver, pdp_btn_AddToBag());\n\n\t\t// Handling Pop-Up that sometimes over shadows the ADD TO BAG button in mobile\n\t\tif (Utils.isDeviceMobile())\n\t\t\thandleBounceXOnPDP();\n\n\t\tpdp_btn_AddToBag().click();\n\t\t// Thread.sleep(3000);\n\n\t\tif (!utils.brand.equals(\"LGFP\"))\n\t\t\tAssert.assertTrue(utils.isElementPresent(driver, \"PDP_continueShopping\"),\n\t\t\t\t\t\"Item Added To Bag modal not displayed in mobile\");\n\t}", "public boolean add (E item)\n {\n add(size, item); // calling public method add\n return true;\n }", "@Override\n public void addItem(ItemType item) {\n if (curArrayIndex > items.length - 1) {\n System.out.println(item.getDetails() + \" - This bin is full. Item cannot be added!\");\n }\n else if (item.getWeight() + curWeight <= maxWeight) {\n curWeight += item.getWeight();\n items[curArrayIndex++] = item;\n }\n else {\n System.out.println(item.getDetails() + \" - Overweighted. This item cannot be added!\");\n }\n if (item.isFragile()) {\n setLabel(\"Fragile - Handle with Care\");\n }\n\n }", "@Test \n\tpublic void testAddItemToBasket() throws Exception {\n\t\tBBBRequest request = BBBRequestFactory.getInstance().createAddBasketItemRequest(BOOK_BASKET_ITEM_ISBN);\n\t\t\n\t\tString expectedUrl = AccountHelper.constructUrl(BBBRequestFactory.getInstance().getHostBasket(), PATH_MY_BASKETS_ITEMS);\n\t\tassertEquals(expectedUrl, request.getUrl());\n\t\t\n\t\tBBBResponse response = BBBRequestManager.getInstance().executeRequestSynchronously(request);\n\t\t\n\t\tif(response.getResponseCode() != HttpURLConnection.HTTP_OK) {\n\t\t\tfail(\"Error: \"+response.toString());\n\t\t}\n\t}", "public void addToShoppingCart(BarcodedItem item, int quantity) {\n\t\t\n\t\tBarcodedProduct prod = ProductDatabases.BARCODED_PRODUCT_DATABASE.get(item.getBarcode());\n\t\ttry {\n\t\t\t\n\t\t\tSHOPPING_CART_ARRAY[i][0] = prod.getDescription();\n\t\t\tSHOPPING_CART_ARRAY[i][1] = Integer.toString(quantity);\n\t\t\tBARCODEDITEM_ARRAY[i] = item;\n\t\t\tBARCODE_ARRAY[i] = prod.getBarcode();\n\t\t\tupdateTotalPayment(item, quantity);\n\t\t\t\n\t\t\ttotalNumOfItems += quantity;\n\t\t\t\n\t\t} catch (NullPointerException e) {\n\t\t\tthrow new SimulationException(e);\n\t\t}\n\t\t\n\t\ti++;\n\n\t}", "InvoiceItem addInvoiceItem(InvoiceItem invoiceItem);", "void add(T item);", "public Boolean add(Item item) {\n \tif (itemCollection.containsKey(item.getItemName())) {\r\n \tif (checkAvailability(item, 1)) {\r\n \t\titem.setQuatity(item.getQuatity() + 1);\r\n \t\titemCollection.put(item.getItemName(), item);\r\n \t\treturn true;\r\n \t} else return false;\r\n } else {\r\n \titemCollection.put(item.getItemName(), item);\r\n \treturn true;\r\n }\r\n \t\r\n }", "public void add(E item);", "public void addItemQty(int itemQty) {\n this.itemQty += itemQty;\n }", "public boolean addNewItem(VendItem item) {\n if (itemCount < maxItems) {\n stock[itemCount] = item;\n itemCount++;\n return true;\n } else {\n return false;\n }\n }", "private void addToInventory(Item item) {\n inventory.put(item.getName(), item);\n }", "public void addItemTrackBagging(Item item, boolean bool) {\n\t\tthis.purchaseList.setItemTrackBagging(item, bool);\n\t}", "public void addItem(Product p) {\n\t\t_items.add(p);\n\t}", "@Test\n\tpublic void testAddItem() throws IOException{\n\t\tModel.addItem(item, amount + \"\");\n\t\tassertEquals(amount + \"\", Model.hash.get(item));\n\t\t\n\t}", "public void addProduct(Product product);", "public void addDeliveryItem(RepositoryItem pItem) {\n mDeliveryItems.add(pItem);\n }", "public abstract void add(T item) throws RepositoryException;", "public void addItemInventory(Item item){\n playerItem.add(item);\n System.out.println(item.getDescription() + \" was taken \");\n System.out.println(item.getDescription() + \" was removed from the room\"); // add extra information to inform user that the item has been taken\n }", "public void addItem(LibraryItem item){\r\n\t\t// use add method of list.class\r\n\t\tthis.inverntory.add(item);\r\n\t}", "public void add( Order item ) {\n\t\tsuper.internalAdd(item);\n\t}", "void createItem (String name, String description, double price);", "public void addItem(int itemCollection_id, Item item) {\n\t\t// Start of user code for method addItem\n\t\t// End of user code\n\t}", "public void createItemInInventory(Item newItem) {\n\t\tinventory.createItem(newItem);\n\t}", "public boolean addItem(int itemId) {\n\t\tint nextFreeSlot = getSlotForId(1);\n\t\tif (itemId <= 0)\n\t\t\treturn false;\n\t\tif (nextFreeSlot != -1 && burdenedItems[nextFreeSlot] == 0) {\n\t\t\tburdenedItems[nextFreeSlot] = itemId;\n\t\t\treturn true;\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t}", "void addProduct(Product product);", "public void addItem(Item item, int x, int y) {\n\t\tInventory items = getItemsAt(x, y);\n\t\titems.add(item);\n\t}", "Cart addToCart(String productCode, Long quantity, String userId);", "public boolean add(T item) {\n boolean addSuccessful = items.add(item);\n if (addSuccessful) {\n currentSize = -1.0;\n inCapacitySize = -1.0;\n }\n return addSuccessful;\n }", "void add(E item);", "void add(E item);", "void add(E item);", "public void push(Object item) {\r\n\t\tdata.add(item);\r\n\r\n\t}", "@Override\n public boolean add(E item) {\n if (item == null)\n throw new IllegalArgumentException(\"null invalid value for bag\");\n Counter count = map.get(item);\n if (count == null)\n map.put(item, new Counter(1));\n else\n count.increment();\n return true;\n }" ]	[ "0.77443147", "0.7476917", "0.741118", "0.7304897", "0.7301947", "0.7208653", "0.7145338", "0.711069", "0.70689595", "0.70415354", "0.70066804", "0.6994895", "0.6994001", "0.69925237", "0.68947107", "0.6868234", "0.6858448", "0.6858448", "0.6808602", "0.6777978", "0.67766774", "0.6771593", "0.67604685", "0.67602617", "0.67563266", "0.6751058", "0.67292494", "0.6702793", "0.6694245", "0.6680888", "0.66747963", "0.66729474", "0.66662496", "0.6662122", "0.6601787", "0.6592122", "0.6581612", "0.65757644", "0.6569161", "0.65595484", "0.65534157", "0.6546828", "0.65448356", "0.6544519", "0.6544093", "0.6540297", "0.65343934", "0.65337753", "0.6530128", "0.65255004", "0.65082103", "0.6506644", "0.650555", "0.6454956", "0.6450313", "0.6428462", "0.6428332", "0.64218205", "0.6421286", "0.64180315", "0.64129347", "0.639253", "0.63883317", "0.6377651", "0.6375535", "0.6361691", "0.63455397", "0.6338932", "0.6329493", "0.631877", "0.63136154", "0.6308527", "0.6294394", "0.6287997", "0.62835735", "0.627882", "0.6278675", "0.6277221", "0.627131", "0.6269815", "0.6269208", "0.6262854", "0.6262487", "0.62602186", "0.62559354", "0.6248413", "0.6247848", "0.6234111", "0.6228511", "0.6217847", "0.6214761", "0.6207068", "0.62019545", "0.62008566", "0.6195236", "0.61882794", "0.6182714", "0.6182714", "0.6182714", "0.6175155", "0.61736256" ]	0.0	-1
Get the Checkout button	public synchronized WebElement pdp_btn_checkout() throws Exception { if (Utils.device.equals("mobile")) return utils.findElementByLocator(driver, "PDP_btn_FlyoutViewBag", "\| PDP:Checkout button not present"); else if (!Utils.brand.equals("LGFP")) { utils.isElementPresent(driver, "PDP_btn_FlyoutCheckout"); return utils.findElementByLocator(driver, "PDP_btn_FlyoutCheckout", "\| PDP:Checkout button not present"); } else return utils.findElementByLocator(driver, "PDP_btn_FlyoutCheckout_LG", "\| PDP:Checkout button not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void Checkout_button() {\n\t\tthis.endUser.checkOut();\n\t\tthis.defaultSetup();\n\t}", "public boolean isCheckoutButtonPresent() {\n\t\ttry{\n\t\t\tdriver.findElement(By.xpath(\"//android.view.View[@resource-id='\" + checkout + \"']\"));\n\t\t\treturn true;\n\t\t} catch(Exception e) {\n\t\t\treturn false;\n\t\t}\n\t}", "public void clickCheckoutButton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- CheckOut button should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\twaitForElement(locator_split(\"btnCheckout\"));\r\n\t\t\tclick(locator_split(\"btnCheckout\")); \r\n\t\t\tsleep(1000);\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- CheckOut button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- CheckOut button is not clicked \"+elementProperties.getProperty(\"btnCheckout\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnCheckout\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t\tReporter.log(\"Clicked on Checkout button\");\r\n\t}", "public void clickOnTheCheckOutButton() {\n\t\tSystem.out.println(\"Making click in the button checkout\");\n\t\twaitForAnExplicitElement(body_button_checkout);\n\t\tclick(body_button_checkout);\n\t}", "Button getBtn();", "public WebElement get123BankingCancelBtn() {\n\t\tWebDriverWait wait = new WebDriverWait(driver, 20);\n\t\treturn wait.until(ExpectedConditions.elementToBeClickable(findElement(\n\t\t\t\trepositoryParser, PAGE_NAME, \"123BankingCancelBtn\")));\n\t}", "public String getText_click_Digital_coupons_button(){\r\n\t\treturn click_Digital_coupons_button.getText();\r\n\t}", "public synchronized void click_lnk_checkout() throws Exception {\n\t\tutils.clickWebElement(driver, pdp_btn_checkout(), \"Checkout button not found\");\n\n\t}", "public String getText_click_ActivateCoupon_Button(){\r\n\t\treturn click_ActivateCoupon_Button.getText();\r\n\t}", "public JButton getVerifyButton() {\n return VerifyButton;\n }", "private RButton getCopyButton() {\n if (copyButton == null) {\n copyButton = new RButton();\n copyButton.setText(\"<%= ivy.cms.co(\\\"/Buttons/copy\\\") %>\");\n copyButton.setName(\"copyButton\");\n }\n return copyButton;\n }", "public String GetButtonText() {\n\t\treturn getWrappedElement().getText();\n\t}", "public JButton getBookingViewButton() {\n return bookingButton;\n }", "public static void goToCheckout() {\n click(CHECKOUT_UPPER_MENU);\n }", "@When(\"user clicks on checkoutbutton\")\r\n\tpublic void usert_clicks_on_checkoutbutton() {\n\t\tdriver.findElement(By.xpath(\"//[@id=\\\"cart\\\"]/tfoot/tr[2]/td[5]/a\")).click();\r\n\t}", "public void clickOnProceedToCheckoutButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnProceedToCheckoutButton.click();\n\n \t}", "public JButton getMarketButton() {\n\t\treturn market;\n\t}", "public JButton getGoBtn() {\n\t\treturn go;\n\t}", "public JButton getDownloadButton()\n {\n return downloadButton;\n }", "protected JButton getCheckAnswerButton() {\n return checkAnswerButton;\n }", "public JButton getPOSBtn() {\r\n\t\tthis.posBtn = new JButton(\"POS File\");\r\n\t\tthis.posBtn.addActionListener(this);\r\n\t\tthis.posBtn.setEnabled(ComponentData.getPosBtnIsEnabled());\r\n\t\treturn this.posBtn;\r\n\t}", "private RButton getOkButton() {\n if (okButton == null) {\n okButton = new RButton();\n okButton.setText(\"<%= ivy.cms.co(\\\"/Buttons/ok\\\") %>\");\n okButton.setName(\"okButton\");\n }\n return okButton;\n }", "public void clickCheckout()\n\t{\n\t\twaitForVisibility(checkout);\n\t\tcheckout.click();\n\t}", "private JButton getCopyButton() {\n if (copyButton == null) {\n copyButton = new JButton();\n copyButton.setText(\"Copy\");\n copyButton.setToolTipText(\"Copy settings from an existing site to a new site\");\n copyButton.setActionCommand(\"Copy\");\n copyButton.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n copySelectedBalloonSettings();\n }\n });\n }\n return copyButton;\n }", "private JButton getAcceptButton() {\n return ((OkCancelButtonPanel) getButtonPanel()).getOkayButton();\n }", "public void clickCalendarCheckOutDate() {\n\t\tcalendarCheckOutButton.click();\n\t}", "public String getValue_click_Digital_coupons_button(){\r\n\t\treturn click_Digital_coupons_button.getAttribute(\"value\");\r\n\t}", "public Button getButton() {\n\t\treturn button;\n\t}", "public void getPaymentInfo (View view) {\n Utility.showMyToast(\"Give me your payment info\", this);\n\n // Also send an Analytics hit\n sendPaymentInfoHit();\n\n // Show and hide buttons appropriately\n Button button = (Button) findViewById(R.id.checkout_step_2_btn);\n button.setVisibility(View.INVISIBLE);\n\n button = (Button) findViewById(R.id.purchase_btn);\n button.setVisibility(View.VISIBLE);\n }", "private JButton getBtnGo() {\r\n\t\tif (btnGo == null) {\r\n\t\t\tbtnGo = new JButton();\r\n\t\t\tbtnGo.setText(\"Go\");\r\n\t\t\tbtnGo.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tgoTo(txtAddress.getText(), HistoryManagement.CLEAR);\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn btnGo;\r\n\t}", "public JButton getReservationButton() {\n return reservationButton;\n }", "public JButton getUncapturedBtn() {\r\n\t\tthis.uncapturedBtn = new JButton(\"Uncaptured File\");\r\n\t\tthis.uncapturedBtn.addActionListener(this);\r\n\t\tthis.uncapturedBtn.setEnabled(ComponentData.getUncapturedBtnIsEnabled());\r\n\t\treturn this.uncapturedBtn; \r\n\t}", "public boolean getButton(XboxController.Button inputButton) {\n\t\treturn this.getRawButton(inputButton.value);\n\t}", "private RButton getShowDetailsButton() {\n if (showDetailsButton == null) {\n showDetailsButton = new RButton();\n showDetailsButton.setName(\"showDetailsButton\");\n showDetailsButton.setText(\"<%= ivy.cms.co(\\\"/Buttons/showDetails\\\") %>\");\n }\n return showDetailsButton;\n }", "public JButton getButton(){\n\t\treturn item;\n\t}", "private javax.swing.JButton getJButton12() {\n\t\tif(jButton12 == null) {\n\t\t\tjButton12 = new javax.swing.JButton();\n\t\t\tjButton12.setBackground(new java.awt.Color(226,226,222));\n\t\t\tjButton12.setHorizontalAlignment(javax.swing.SwingConstants.LEFT);\n\t\t\tjButton12.setPreferredSize(new java.awt.Dimension(120,40));\n\t\t\tjButton12.setText(\"F12 Salir\");\n\t\t\tjButton12.setFont(new java.awt.Font(\"Dialog\", java.awt.Font.BOLD, 10));\n\t\t\tjButton12.setHorizontalTextPosition(javax.swing.SwingConstants.TRAILING);\n\t\t\tjButton12.setMargin(new Insets(1,2,1,1));\n\t\t\tjButton12.setEnabled(false);\n\t\t}\n\t\treturn jButton12;\n\t}", "public Object getBuyFuelButton() {\n\n\t\treturn buyFuel;\n\t}", "public void getSignUpButton() {\n mSignUpButton = (Button) mView.findViewById(R.id.accounts_sign_up_btn);\n mSignUpButton.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View view) {\n createFirebaseAccountsUI();\n }\n });\n }", "public int getCheckout() {\n return checkout;\n }", "protected Button getOkButton()\r\n\t{\r\n\t\treturn okButton;\r\n\t}", "@Then(\"^click on checkout$\")\r\n\tpublic void click_on_checkout() throws Throwable {\n\t\tverbose(\"********************************************************\");\r\n\t\tAssert.assertTrue(navigate_rsc.checkout());\r\n\t\tverbose(\"********************************************************\");\r\n\t \r\n\t}", "public void checkOutFlight() {\n confirmationPage.checkButton();\n }", "public MyButton getBoton() {\n\t\treturn boton;\n\t}", "public String getText_click_CloseModal_Button(){\r\n\t\treturn click_CloseModal_Button.getText();\r\n\t}", "public static WebElement btn_clickMOQ_GoBtn() throws Exception{\r\n \ttry{\r\n \t\telement = driver.findElement(By.id(\"moqGoButton\"));\r\n \t\tAdd_Log.info(\"User is click on Min Order Quantity 'GO' button.\");\r\n \t\t\r\n \t}catch(Exception e){\r\n \t\tAdd_Log.error(\"Min Order Quantity 'GO' button is NOT found on the page.\");\r\n \t\tthrow(e);\r\n \t}\r\n \treturn element;\r\n }", "public JButton getCapturedBtn() {\r\n\t\tthis.capturedBtn = new JButton(\"Captured File\");\r\n\t\tthis.capturedBtn.addActionListener(this);\r\n\t\tthis.capturedBtn.setEnabled(ComponentData.getCapturedBtnIsEnabled());\r\n\t\treturn this.capturedBtn;\r\n\t}", "public static URL getUrlForPostSetCheckout()\r\n {\r\n String strUrl = getBaseURL() +\"account_services/api/1.0/payment/paypal/set-checkout\";\r\n return str2url( strUrl );\r\n }", "public void clickOnViewCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnViewCartButton.click();\n\n \t}", "public IButton getReturnButton() {\n return controls.getReturnButton();\n }", "HasClickHandlers getResetPasswordButton();", "public static WebElement btn_PACrossPromotion_ClickSubscribe() throws Exception{\r\n \ttry{\r\n \t\telement = driver.findElement(By.xpath(\"//[contains(@class, 'PAList')]//a[text()='Subscribe']\"));\r\n \t\tAdd_Log.info(\"Subscribe button is click on the page.\");\r\n \t\t\r\n \t}catch(Exception e){\r\n \t\tAdd_Log.error(\"Subscribe button is NOT found on the page.\");\r\n \t\tthrow(e);\r\n \t}\r\n \treturn element;\r\n }", "public WebElement SubmitBtn() {\n\t\treturn driver.findElement(Subbtn);\n\t}", "public JButton getOkButton() {\n return okButton;\n }", "public ButtonView getButtonView() {\r\n return buttonPanel;\r\n }", "private JButton getViewButton() {\r\n\t\tif (viewButton == null) {\r\n\t\t\tviewButton = new JButton();\r\n\t\t\tviewButton.setText(Message.getMessage(\"reportmaker.view.label\"));\r\n\t\t\tviewButton.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tdisplayReport();\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn viewButton;\r\n\t}", "public boolean getCopilotButton(int button) {\n return copilot.getRawButton(button);\n }", "private JButton getJButton() {\n\t\tif (new_button == null) {\n\t\t\tnew_button = new JButton();\n\t\t\tnew_button.setText(Locale.getString(\"NEW\"));\n\t\t\tnew_button.setMnemonic(java.awt.event.KeyEvent.VK_N);\n\t\t\tnew_button.addActionListener(new java.awt.event.ActionListener() { \n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) { \n\t\t\t\t\tSystem.out.println(\"actionPerformed()\"); // TODO Auto-generated Event stub actionPerformed()\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn new_button;\n\t}", "public void ClickChecoutInsertBillingInfobutton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Checkout InsertBillingInfo submit button should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\tclick(locator_split(\"btncheckoutInsertBillingInfo\"));\r\n\t\t\tSystem.out.println(\"Checkout InsertBillingInfo submit button is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Checkout InsertBillingInfo submit button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Checkout InsertBillingInfo submit button is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btncheckoutInsertBillingInfo\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "private BButton getBtnOK() {\r\n\t\tif (btnOK == null) {\r\n\t\t\tbtnOK = new BButton();\r\n\t\t\tbtnOK.setText(\"OK\");\r\n\t\t\tbtnOK.setPreferredSize(new Dimension(100, 29));\r\n\t\t}\r\n\t\treturn btnOK;\r\n\t}", "public JButton getOkButton(){\n\t\treturn okButton;\n\t}", "public Button getButton(String key) {\n return buttons.get(key);\n }", "private void CheckoutActionPerformed(java.awt.event.ActionEvent evt) {\n }", "public ToggleButton getOfflineButton() {\n return this.offlineButton;\n }", "public JButton getBoton() {\n return boton;\n }", "private JButton getZoomOutButton() {\r\n\t\tif (zoomOutButton == null) {\r\n\t\t\tzoomOutButton = new JButton();\r\n\t\t\tzoomOutButton.setName(\"zoomOutBtn\");\r\n\t\t\tzoomOutButton.setPreferredSize(new Dimension(32, 32));\r\n\t\t\tzoomOutButton.setMinimumSize(new Dimension(32, 32));\r\n\t\t\tzoomOutButton.setMaximumSize(new Dimension(32, 32));\r\n\t\t\tzoomOutButton.setPreferredSize(new Dimension(32, 32));\r\n\t\t\tzoomOutButton.setMargin(new Insets(2, 2, 2, 2));\r\n\t\t\tZoomShapeIcon.setZoomOverlayEditorMod(zoomOutButton, ZoomShapeIcon.Sign.minus);\r\n\t\t\tzoomOutButton.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tgetImagePane().setZoom(getImagePane().getZoom()/1.3f);\r\n\t\t\t\t\tupdateLabel(-1,-1);\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn zoomOutButton;\r\n\t}", "boolean getButtonRelease(Buttons but);", "public boolean getBButton() {\n\t\treturn getRawButton(B_Button);\n\t}", "private JButton getJButton2() {\n\t\tif (import_button == null) {\n\t\t\timport_button = new JButton();\n\t\t\timport_button.setText(Locale.getString(\"IMPORT\"));\n\t\t\timport_button.setMnemonic(java.awt.event.KeyEvent.VK_I);\n\t\t}\n\t\treturn import_button;\n\t}", "public String getValue_click_ActivateCoupon_Button(){\r\n\t\treturn click_ActivateCoupon_Button.getAttribute(\"value\");\r\n\t}", "public JButton getBtnBonus() {\n return btnBonus;\n }", "public JButton getGenerierenButton() {\n\t\treturn generierenBtn;\n\t}", "public static boolean getButton(int index) {\n\t\treturn SmartDashboard.getBoolean(\"DB/Button \" + index, false);\n\t}", "private javax.swing.JButton getJButton8() {\n\t\tif(jButton8 == null) {\n\t\t\tjButton8 = new javax.swing.JButton();\n\t\t\tjButton8.setPreferredSize(new java.awt.Dimension(120,40));\n\t\t\tjButton8.setBackground(new java.awt.Color(226,226,222));\n\t\t\tjButton8.setMargin(new Insets(1,2,1,1));\n\t\t\tjButton8.setFont(new java.awt.Font(\"Dialog\", java.awt.Font.BOLD, 10));\n\t\t\tjButton8.setHorizontalAlignment(javax.swing.SwingConstants.LEFT);\n\t\t\tjButton8.setText(\"F8 Anular Lista\");\n\t\t}\n\t\treturn jButton8;\n\t}", "public JButtonOperator btOK() {\n if (_btOK==null) {\n _btOK = new JButtonOperator(this, Bundle.getStringTrimmed(\"org.openide.Bundle\", \"CTL_OK\"));\n }\n return _btOK;\n }", "public JButton getSettle(){\n\t\treturn btnSettle;\n\t}", "public ToggleButton getCreateButton() {\n\t\treturn myCreateWorkSpaceButton;\n\t}", "private JButton getJButtonOK() {\r\n\t\tif (jButtonOK == null) {\r\n\t\t\tjButtonOK = new JButton();\r\n\t\t\tjButtonOK.setBounds(new Rectangle(40, 215, 90, 30));\r\n\t\t\tjButtonOK.setText(\"确定\");\r\n\t\t\tjButtonOK.addActionListener(new java.awt.event.ActionListener() {\r\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\r\n\t\t\t\t\tjColorChooser.setVisible(false);\r\n\t\t\t\t\tchooserColor = color;\r\n\t\t\t\t}\r\n\t\t\t});\r\n\t\t}\r\n\t\treturn jButtonOK;\r\n\t}", "public static Button getDownButton(SectionPart part) {\r\n\t\tif (part != null && part instanceof ExportSectionPart) {\r\n\t\t\tExportSectionPart ePart = (ExportSectionPart) part;\r\n\t\t\treturn ePart.getDownButton();\r\n\t\t}\r\n\t\treturn null;\r\n\t}", "public String getText_txt_Fuel_Rewards_Page_Button(){\r\n\t\treturn txt_Fuel_Rewards_Page_Button.getText();\r\n\t}", "WebElement getNewAccountButton();", "public void clickOnAddToCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickAddToCartButton.click();\n\n \t}", "public void manageCashDrawerBtn() {\n\t\tpause(1000);\n\t\tWebElement temp = (new WebDriverWait(driver, waitTime))\n\t\t\t\t .until(ExpectedConditions.presenceOfElementLocated(By.id(\"managePrtBtn\")));\n\t\ttemp.click();\n\t\tpause(1000);\n\t}", "public void CheckoutRegisterradiobutton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Registration radio button in checkout should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\tclick(locator_split(\"rdcheckoutregistrationradio\"));\r\n\t\t\twaitForPageToLoad(20);\r\n\t\t\tSystem.out.println(\"Registration radio button is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Registration radio button in checkout is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Registration radio button in checkout is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"rdcheckoutregistrationradio\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "private JButton getVereenvoudigKnop() {\n if (vereenvoudigKnop == null) {\n vereenvoudigKnop = new JButton();\n vereenvoudigKnop.setBounds(new Rectangle(118, 15, 122, 29));\n vereenvoudigKnop.setText(\"Vereenvoudig\");\n vereenvoudigKnop.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n vereenvoudigAction();\n }\n });\n }\n return vereenvoudigKnop;\n }", "public JButton getDeclineButton() {\n\t\treturn declineButton;\n\t}", "public boolean getBButton() {\n\t\treturn getRawButton(B_BUTTON);\n\t}", "private javax.swing.JButton getJButton6() {\n\t\tif(jButton6 == null) {\n\t\t\tjButton6 = new javax.swing.JButton();\n\t\t\tjButton6.setPreferredSize(new java.awt.Dimension(120,40));\n\t\t\tjButton6.setBackground(new java.awt.Color(226,226,222));\n\t\t\tjButton6.setMargin(new Insets(1,2,1,1));\n\t\t\tjButton6.setText(\"F6 Colocar en Espera\");\n\t\t\tjButton6.setFont(new java.awt.Font(\"Dialog\", java.awt.Font.BOLD, 10));\n\t\t\tjButton6.setHorizontalAlignment(javax.swing.SwingConstants.LEFT);\n\t\t}\n\t\treturn jButton6;\n\t}", "public WebElement btnFirstOption()\n\t{\n\t\treturn getDriver().findElement(By.cssSelector(\"#preformatted-coverages-auto-plans-1 > div.preformatted-coverages__content > a\"));\n\t}", "private JButton getBok() {\n if( Bok == null ) {\n Bok = new JButton();\n Bok.setText(\"Ok\");\n Bok.addActionListener(new java.awt.event.ActionListener() {\n public void actionPerformed(java.awt.event.ActionEvent e) {\n ComboBoxEntry cbe;\n cbe = (ComboBoxEntry) getCBoxSourceLanguage().getSelectedItem();\n String sourceLanguageName = cbe.getLocale().getLanguage();\n boolean isSourceExternal = cbe.isExternal();\n \n cbe = (ComboBoxEntry) getCBoxTargetLanguage().getSelectedItem();\n String targetLanguageName = cbe.getLocale().getLanguage();\n boolean isTargetExternal = cbe.isExternal();\n boolean isTargetNew = cbe.isNew();\n \n startTranslation(\n sourceLanguageName, \n isSourceExternal, \n targetLanguageName,\n isTargetExternal,\n isTargetNew);\n }\n });\n }\n return Bok;\n }", "public JButton getReturnButton() {\n return this.retour;\n }", "private JButton getJButton() {\n\t\tif (jButton == null) {\n\t\t\tjButton = new JButton();\n\t\t\tjButton.setBounds(new Rectangle(57, 80, 34, 45));\n\t\t}\n\t\treturn jButton;\n\t}", "private JButton getOkButton() {\n\t\tif (okButton == null) {\n\t\t\tokButton = new JButton();\n\t\t\tokButton.setText(\"OK\");\n\t\t\tokButton.addActionListener(new java.awt.event.ActionListener() {\n\t\t\t\tpublic void actionPerformed(java.awt.event.ActionEvent e) {\n\t\t\t\t\tdoOK();\n\t\t\t\t}\n\t\t\t});\n\t\t}\n\t\treturn okButton;\n\t}", "public int getCheckOut() {\n return checkOut;\n }", "public static JButton getIncrBet(){\n\t\treturn incrBet;\n\t}", "public static Button getUpButton(SectionPart part) {\r\n\t\tif (part != null && part instanceof ExportSectionPart) {\r\n\t\t\tExportSectionPart ePart = (ExportSectionPart) part;\r\n\t\t\treturn ePart.getUpButton();\r\n\t\t}\r\n\t\treturn null;\r\n\t}", "public void clickOnLogOutButton() {\n Reporter.addStepLog(\"click on logout button \" + _logOutOnNopCommerce.toString());\n clickOnElement(_logOutOnNopCommerce);\n log.info(\"click on logout button \" + _logOutOnNopCommerce.toString());\n }", "public void clickProductDetailsViewInCartBtn(){\n clickElement(productDetailsViewInCart);\n }", "public synchronized void verifyCartBtn() {\n\t\ttry {\n\t\t\tWebActionUtil.waitForElement(cartBtn, \"cart button\", 30);\n\t\t\tWebActionUtil.isElementClickable(cartBtn, \"Cart button\");\n\t\t}\n\t\t catch (Exception e) \n\t\t{\n\t\t\t WebActionUtil.error(e.getMessage());\n\t\t\tWebActionUtil.error(\"Unable to clk on cart button\");\n\t\t\tAssert.fail(\"Unable to clk on cart button\");\n\t\t}\n\t}", "public String getBuyLink() {\n return buyLink;\n }", "public Button getCustomButton(String id) {\n\t\treturn customButtons.get(id);\n\t}" ]	[ "0.6701551", "0.6678469", "0.6651125", "0.6597309", "0.64899915", "0.6457604", "0.63759977", "0.6351775", "0.62202704", "0.62143356", "0.61820054", "0.6175009", "0.61701345", "0.61483705", "0.6123918", "0.6107683", "0.6095495", "0.6043508", "0.6030862", "0.5930483", "0.5920701", "0.5910615", "0.59024", "0.58727497", "0.58653826", "0.5847132", "0.5821125", "0.5811787", "0.57705235", "0.5768708", "0.57668674", "0.57387495", "0.5728086", "0.5706491", "0.57046616", "0.57012", "0.5691904", "0.5689951", "0.5687561", "0.5673561", "0.5662883", "0.56481135", "0.5634849", "0.5626906", "0.56079966", "0.5605821", "0.55988896", "0.5595626", "0.5588821", "0.5584777", "0.55772877", "0.5569694", "0.5551498", "0.55393064", "0.55375355", "0.5524292", "0.55195755", "0.55089223", "0.5507266", "0.54938114", "0.54892325", "0.5488162", "0.54861236", "0.5483201", "0.5474449", "0.5472554", "0.54685587", "0.5468077", "0.54679775", "0.5465835", "0.54651237", "0.5455658", "0.5454274", "0.5454131", "0.5433954", "0.54301167", "0.5423568", "0.54203373", "0.5420083", "0.5419625", "0.54096556", "0.5408236", "0.54065335", "0.5393598", "0.53903824", "0.53842527", "0.5383152", "0.5379791", "0.53777903", "0.5374192", "0.53697026", "0.53691304", "0.53685015", "0.5364122", "0.53538364", "0.53516996", "0.5337864", "0.53354686", "0.53306174", "0.5322287" ]	0.7482702	0
Click on checkout button	public synchronized void click_lnk_checkout() throws Exception { utils.clickWebElement(driver, pdp_btn_checkout(), "Checkout button not found"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void clickCheckout()\n\t{\n\t\twaitForVisibility(checkout);\n\t\tcheckout.click();\n\t}", "@When(\"user clicks on checkoutbutton\")\r\n\tpublic void usert_clicks_on_checkoutbutton() {\n\t\tdriver.findElement(By.xpath(\"//[@id=\\\"cart\\\"]/tfoot/tr[2]/td[5]/a\")).click();\r\n\t}", "@Then(\"^click on checkout$\")\r\n\tpublic void click_on_checkout() throws Throwable {\n\t\tverbose(\"********************************************************\");\r\n\t\tAssert.assertTrue(navigate_rsc.checkout());\r\n\t\tverbose(\"********************************************************\");\r\n\t \r\n\t}", "public void clickOnTheCheckOutButton() {\n\t\tSystem.out.println(\"Making click in the button checkout\");\n\t\twaitForAnExplicitElement(body_button_checkout);\n\t\tclick(body_button_checkout);\n\t}", "public void clickOnProceedToCheckoutButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnProceedToCheckoutButton.click();\n\n \t}", "public void clickCheckoutButton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- CheckOut button should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\twaitForElement(locator_split(\"btnCheckout\"));\r\n\t\t\tclick(locator_split(\"btnCheckout\")); \r\n\t\t\tsleep(1000);\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- CheckOut button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- CheckOut button is not clicked \"+elementProperties.getProperty(\"btnCheckout\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnCheckout\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t\tReporter.log(\"Clicked on Checkout button\");\r\n\t}", "public static void goToCheckout() {\n click(CHECKOUT_UPPER_MENU);\n }", "public void clickOnViewCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnViewCartButton.click();\n\n \t}", "public void clickOnAddToCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickAddToCartButton.click();\n\n \t}", "public void clickProductDetailsViewInCartBtn(){\n clickElement(productDetailsViewInCart);\n }", "@When(\"I click on the buy button\")\n\t\tpublic void i_click_on_the_buy_button() {\n\t\t\tdriver.findElement(By.xpath(buttonBuy)).click();\n\t\t}", "public void clickPaypal() {\n\t\t\n\t\tclick(paypalButton);\n\t}", "public void clickProductDetailsAddToCartBtn(){\n clickElement(productDetailsAddToCart);\n }", "public void clickViewCartButton(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Viewcart button should be clicked\");\r\n\t\ttry{\r\n\t\t\t//waitForElement(btnViewCart);\r\n\t\t\twaitForElement(locator_split(\"btnViewCartBtn\"));\r\n\t\t\t//click(btnViewCart);\r\n\t\t\tclick(locator_split(\"btnViewCartBtn\"));\r\n\t\t\twaitForPageToLoad(20);\r\n\r\n\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Viewcart button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- View button is not clicked \"+elementProperties.getProperty(\"btnViewCartBtn\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnViewCartBtn\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\r\n\t}", "public void clickOnContinueShoppingButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnContinueShoppingButton.click();\n\n \t}", "public void makeAnotherPayment() {\n btnMakeAnotherPayment().click();\n }", "public void clickViewCart(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- ViewCart button should be clicked\");\r\n\t\ttry{\r\n\t\t\twaitForPageToLoad(25);\r\n\t\t\twaitForElement(locator_split(\"BybtnSkuViewCart\"));\r\n\t\t\tclick(locator_split(\"BybtnSkuViewCart\"));\r\n\t\t\twaitForPageToLoad(25);\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- ViewCart button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- ViewCart button is not clicked \"+elementProperties.getProperty(\"BybtnSkuViewCart\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"BybtnSkuViewCart\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t} \r\n\t}", "public void ClickChecoutInsertBillingInfobutton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Checkout InsertBillingInfo submit button should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\tclick(locator_split(\"btncheckoutInsertBillingInfo\"));\r\n\t\t\tSystem.out.println(\"Checkout InsertBillingInfo submit button is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Checkout InsertBillingInfo submit button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Checkout InsertBillingInfo submit button is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btncheckoutInsertBillingInfo\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "public synchronized WebElement pdp_btn_checkout() throws Exception {\n\n\t\tif (Utils.device.equals(\"mobile\"))\n\t\t\treturn utils.findElementByLocator(driver, \"PDP_btn_FlyoutViewBag\", \"\| PDP:Checkout button not present\");\n\n\t\telse if (!Utils.brand.equals(\"LGFP\")) {\n\t\t\tutils.isElementPresent(driver, \"PDP_btn_FlyoutCheckout\");\n\t\t\treturn utils.findElementByLocator(driver, \"PDP_btn_FlyoutCheckout\", \"\| PDP:Checkout button not present\");\n\t\t}\n\n\t\telse\n\t\t\treturn utils.findElementByLocator(driver, \"PDP_btn_FlyoutCheckout_LG\", \"\| PDP:Checkout button not present\");\n\t}", "public void clickOnElementOfCheckoutOrderPage(String key){\n\t\t\n\t\tclickOnElement(checkoutOrderPropertiesReader.getProperties(key));\t\t\n\t}", "public void clickLoginButton() {\n\t\tLoginSignupCompanyPage sp = new LoginSignupCompanyPage(driver);\n\t\tlog.info(\"Verifying the login button is available or not\");\n\t\tAssert.assertTrue(clickLoginButton.isDisplayed());\n\t\tclickLoginButton.click();\n\t}", "public void startCheckout (View view) {\n Utility.showMyToast(\"You have started the checkout process\", this);\n\n // Also send an Analytics hit\n sendStartCheckoutHit();\n\n // Show and hide buttons appropriately\n Button button = (Button) findViewById(R.id.start_checkout_btn);\n button.setVisibility(View.INVISIBLE);\n\n button = (Button) findViewById(R.id.checkout_step_2_btn);\n button.setVisibility(View.VISIBLE);\n }", "public boolean isCheckoutButtonPresent() {\n\t\ttry{\n\t\t\tdriver.findElement(By.xpath(\"//android.view.View[@resource-id='\" + checkout + \"']\"));\n\t\t\treturn true;\n\t\t} catch(Exception e) {\n\t\t\treturn false;\n\t\t}\n\t}", "public void clickGoToYourAccountButton() {\n\t\telement(signUpObjects.getOTPButton).click();\n\t}", "@And(\"^I Should see Continue shopping button$\")\n public void iShouldSeeCountinueButton()throws Throwable{\n Assert.assertTrue(\"Continue shopping button is not present\", Elements.elementPresent(\"checkout.rc_test_element\"));\n Clicks.click(\"checkout.rc_test_element\");\n getWebDriver().navigate().back();\n }", "public void Checkout_button() {\n\t\tthis.endUser.checkOut();\n\t\tthis.defaultSetup();\n\t}", "@When(\"user clicks on add to cart button\")\r\n\tpublic void user_clicks_on_add_to_cart_button() {\n\t\tdriver.findElement(By.xpath(\"/html/body/section/div/div/div[2]/div/div/div/div[2]/center/a\")).click();\r\n\t}", "public void ClickQviewAddtoCartbutton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Qview Add to cart button should be clicked\");\r\n\t\ttry{\r\n\t\t\tclick(locator_split(\"btnQviewAddtoCart\"));\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Qview Add to cart button is clicked\");\r\n\t\t\tSystem.out.println(\"Clicked the Add to Cart in QView\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Qview Add to cart button is not clicked or Not Available\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnQviewAddtoCart\")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t}", "public void clickOnVINButton() {\n if(VINButton.isDisplayed()) {\n\t\twaitAndClick(VINButton);\n\t }\n }", "public void clickbtnApprove() {\n\t\twaitForElementClickable(10,btnApprove);\n\t\tclickByJavaScript(btnApprove);\n\t\tsleep(1);\n\t}", "public void proceedToCheckOut()\n\t{\n\t\tproceedtocheckoutpage = productpage.addToCartBtnClick();\n\t}", "public void clickWalletLink()\n\t{\n \telementUtils.performElementClick(wbWalletLink);\n\t}", "public void clickCartPopupViewCart(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- To Click the View cart button in the Shopping Cart popup \");\r\n\t\ttry{\r\n\t\t\tclick(locator_split(\"btnCartViewCart\"));\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Clicked on the View Cart Button in the shopping cart popup\");\r\n\t\t\tSystem.out.println(\"Clicked on the View Cart Button in the shopping cart popup\");\r\n\t\t}\r\n\t\tcatch (Exception e)\r\n\t\t{\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- View Cart Button is not clicked in the shopping cart popup\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnCartViewCart\")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "public void clickSaveChangesButton() {\n\t\tlog.info(\"Verifying the login button is available or not\");\n\t\tAssert.assertTrue(clickSaveChangesButton.isDisplayed());\n\t\tclickSaveChangesButton.click();\n\t}", "public void clickOnAddVehicleButton() {\r\n\t\tsafeClick(addMarkerOkButton.replace(\".ant-modal-footer button.ant-btn.ant-btn-primary\",\r\n\t\t\t\t\".ant-btn.ant-btn-primary\"), SHORTWAIT);\r\n\t}", "@Before\n public void openNewStockPage() {\n onView(withId(R.id.button3)).perform(click());\n }", "@Step\n public void clickSendSMSButton(){\n actionWithWebElements.clickOnElement(sendSMSButton);\n }", "public void clickOnSaveChangesButton() {\r\n\t\tprint(\"Click on Save Changes Button\");\r\n\t\tlocator = Locator.MyTrader.Save_Changes_Button.value;\r\n\t\tclickOn(locator);\r\n\t}", "public void checkOutFlight() {\n confirmationPage.checkButton();\n }", "@FXML\r\n\tpublic void goToCheckout() {\r\n\t\tViewNavigator.loadScene(\"Checkout\", ViewNavigator.CHECKOUT_SCENE);\r\n\t}", "public void CashonDeliverySubmit(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Cashondelivery should be submitted\");\r\n\t\ttry{\r\n\r\n\t\t\tclick(locator_split(\"btnsubmitorder\"));\r\n\r\n\t\t\tif(isExist(locator_split(\"btnsubmitorder\"))){\r\n\r\n\t\t\t\tclick_submitorder_creditcard();\r\n\r\n\t\t\t}\r\n\r\n\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Cashondelivery should be clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Cashondelivery button is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnsubmitorder\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\t}", "public void clickAddtoCart(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Addtocart button should be clicked\");\r\n\t\ttry{\r\n\t\t\twaitForPageToLoad(25);\r\n\t\t\twaitForElement(locator_split(\"btnSkuAddToCart\"));\r\n\t\t\tclick(locator_split(\"btnSkuAddToCart\"));\r\n\t\t\tSystem.out.println(\"Add to cart button is clicked\");\r\n\t\t\tsleep(2000);\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Addtocart button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Addtocart button is not clicked \"+elementProperties.getProperty(\"btnSkuAddToCart\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnSkuAddToCart\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t} \r\n\t}", "public void PurchaseTicket_OnClick(View view){\n\t\tVibrateButton();\n\t\tpurchaseTicket();\n\t}", "public void clickCalendarCheckInDate() {\n\t\tcalendarCheckInButton.click();\n\t}", "public void ViewCart() {\r\n\t\tthis.ViewCart.click();\r\n\t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tClickQuickCoupler();\n\t\t\t}", "public void ClickChecoutSubmitbutton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Checkout Registration submit button should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\tclick(locator_split(\"btncheckoutregistrationsubmit\"));\r\n\t\t\tSystem.out.println(\"Checkout Registration submit button is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Checkout Registration submit button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Checkout Registration submit button is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btncheckoutregistrationsubmit\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "public void click_CheckavailabitlityButton()\r\n\t{\r\n\t\r\n\r\n\t\tSystem.out.println(\"Inside of the checkavailabitlity\");\r\n\t\t\r\n\t\t/\r\n\t\tExplicitWait(Checkavailability);\r\n\r\n\r\n\t\tJavascriptexecutor(Checkavailability);\r\n\t\t//System.out.println(\"clicked on Checkavailability\");\r\n\t\tSeleniumRepo.waitForPageLoaded();\r\n\t\tlogger.info(\"clicked on Checkavailability\");\r\n\t\ttest.log(Status.INFO, \"clicked on Checkavailability\");\r\n\t\t\r\n\t\t /\r\n\t\r\n\t\tExplicitWait(Checkavailability);\r\n\r\n\t\tif (Checkavailability.isDisplayed() ) \r\n\t\t{\r\n\t\t\t\r\n\t\t\t//Checkavailability.click();\r\n\t\t\tJavascriptexecutor(Checkavailability);\t\r\n\t\t\t\r\n\t\t\t\r\n\t\t\tSystem.out.println(\"clicked on Checkavailability\");\r\n\t\t\t\r\n\t\t\tSeleniumRepo.waitForPageLoaded();\r\n\t\t\tExplicitWait(Checkavailability);\r\n\r\n\t\t\tlogger.info(\"clicked on Checkavailability\");\r\n\t\t\ttest.log(Status.INFO, \"clicked on Checkavailability\");\r\n\t\t\t\r\n\t\t\t\r\n\r\n\t\t}else{\r\n\t\t\t\r\n\t\t\t//System.out.println(\"BookNow button not found\");\r\n\t\t\tlogger.error(\"Check Availability button not found\");\r\n\t\t\ttest.log(Status.FAIL, \"Check Availability button not found\");\t\t\t\r\n\t\t\t\r\n\t\t}\r\n\r\n\t}", "public void clickOnVSPNButton() {\n if(VSPNButton.isDisplayed()) {\n\t\twaitAndClick(VSPNButton);\n\t}\n }", "public void Cart() {\r\n\t\tthis.cart.click();\r\n\t}", "public void clickgoButton(){\n \n \t \n driver.findElement(By.cssSelector(goButton)).click();\n }", "public void clickAddButtonInStockTab(){\r\n\t\t\r\n\t\tMcsElement.getElementByXpath(driver, \"//div[contains(@class,'x-border-layout-ct') and not(contains(@class,'x-hide-display'))]//div[contains(@class,'x-panel-bbar')]//button[contains(text(),'Add..')]\").click();\r\n\t\t\r\n\t\t//McsElement.getElementByAttributeValueAndParentElement(driver, \"div\", \"@class\", \"x-panel-bbar\", \"button\", \"text()\", \"Add...\", true, true).click();\r\n\t\t\r\n\t\tReporter.log(\"Clicked on Add button in Stock Tab\", true);\r\n\t}", "@When(\"user clicks on cart symbol\")\r\n\tpublic void user_clicks_on_cart_symbol() {\n\t\tdriver.findElement(By.xpath(\"//[@id=\\\"header\\\"]/div[1]/div/div/div[2]/div/a[2]\")).click();\r\n\t}", "public void clickOnRegisterButton() {\n Reporter.addStepLog(\" Click on register button \" + _registerBtn.toString());\n clickOnElement(_registerBtn);\n log.info(\" Click on register button \" + _registerBtn.toString());\n }", "@Step\n public void clickRegistrationButton(){\n actionWithWebElements.clickOnElement(registrationButton);\n }", "public void ClickCommissionRatesPage() {\r\n\t\tcommissionrates.click();\r\n\t\t\tLog(\"Clicked the \\\"Commission Rates\\\" button on the Birthdays page\");\r\n\t}", "public void clickOnHardCopyButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnHardCopyButton.click();\n\n \t}", "public void ClickMyAccountSubmitbutton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- My Account Registration submit button should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\tclick(locator_split(\"btnMyAccountSubmit\"));\r\n\t\t\tSystem.out.println(\"Checkout Registration submit button is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- My Account Registration submit button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- My Account Registration submit button is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnMyAccountSubmit\")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "public void checkoutcontinuebutton( ){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- continue Registartion button clicked in popu page\");\r\n\t\ttry{\r\n\r\n\t\t\twaitforElementVisible(locator_split(\"checkoutregistrationcontinue\"));\r\n\t\t\tclick(locator_split(\"checkoutregistrationcontinue\"));\r\n\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- ccontinue Registartion button clicked in popu page\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- continue Registartion button is not clicked in popu page\"+elementProperties.getProperty(\"_Regcontinuebutton\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"checkoutregistrationcontinue\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\r\n\t}", "public static void goToCart() {\n click(SHOPPING_CART_UPPER_MENU);\n }", "public synchronized void verifyCartBtn() {\n\t\ttry {\n\t\t\tWebActionUtil.waitForElement(cartBtn, \"cart button\", 30);\n\t\t\tWebActionUtil.isElementClickable(cartBtn, \"Cart button\");\n\t\t}\n\t\t catch (Exception e) \n\t\t{\n\t\t\t WebActionUtil.error(e.getMessage());\n\t\t\tWebActionUtil.error(\"Unable to clk on cart button\");\n\t\t\tAssert.fail(\"Unable to clk on cart button\");\n\t\t}\n\t}", "@Override\r\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tonPay();\r\n\t\t\t}", "@Then(\"user clicks submit button\")\n\tpublic void user_clicks_submit_button(){\n\t\t driver.findElement(By.name(\"sub\")).click();\n\t\t driver.findElement(By.xpath(\"//a[@href='addcustomerpage.php']\")).click();\n\t}", "public void ClickOnConfirmCertificateInformationButton()\n\t\t{\n\t\t\tConfirmCertificateInformation.click();\n\t\t}", "@Override\n public void onClick(View v) {\n PageType pageType = PageType.HOME_PAGE;\n CustomerCart customerCart = new CustomerCart();\n boolean wasIncentiveDisplayed = false;\n customerCart.setCartId(Config.CART_ID);\n String wizCartCouponCode = null;\n wizCartClientWrapper.sendTrackingPageView(pageType, customerCart,wasIncentiveDisplayed, wizCartCouponCode);\n }", "public void cashondelivery_submit(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- shopping cart link should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\twaitforElementVisible(locator_split(\"cashondelivery\"));\r\n\t\t\tclick(locator_split(\"cashondelivery\"));\r\n\t\t\twaitForPageToLoad(100);\r\n\t\t\twaitforElementVisible(locator_split(\"submitorder\"));\r\n\t\t\tclick(locator_split(\"submitorder\"));\r\n\t\t\twaitForPageToLoad(20);\r\n\t\t\tSystem.out.println(\"shopping cart link is clicked.\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- shopping cart link is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- shopping cart link is not clicked \");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"submitorder\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "public void Click_Done()\r\n\t{\r\n\t\tExplicitWait(Specialdone);\r\n\t\tif (Specialdone.isDisplayed()) \r\n\t\t{\r\n\t\t\tJavascriptexecutor(Specialdone);\r\n\t\t\tExplicitWait(Checkavailability);\r\n\t\t\t//System.out.println(\"Clicked on Special Rate plan done button \");\r\n\t\t\tlogger.info(\"Clicked on Special Rate plan done button\");\r\n\t\t\ttest.log(Status.INFO, \"Clicked on Special Rate plan done button\");\r\n\r\n\t\t} else {\r\n\t\t\t//System.out.println(\"Special Rate plan done button not found\");\r\n\t\t\tlogger.error(\"Special Rate plan done button not found\");\r\n\t\t\ttest.log(Status.FAIL, \"Special Rate plan done button not found\");\r\n\r\n\t\t}\r\n\t}", "public void testCheckout() throws InterruptedException {\n\t\taddressRadio.click();\n\t\tpFirstname.click();\n\t\tpFirstname.sendKeys(\"Paul\");\n\t\tpLastname.click();\n\t\tpLastname.sendKeys(\"Tal\");\n\t\tpAddress1.click();\n\t\tpAddress1.sendKeys(\"16 Talbi st\");\n\t\tpCity.click();\n\t\tpCity.sendKeys(\"Toronto\");\n\t\tpPostcode.click();\n\t\tpPostcode.sendKeys(\"M1V 3E8\");\n\t\tSelect cDropdown = new Select(selectC);\n\t\tcDropdown.selectByVisibleText(\"Canada\");\n\t\tSelect zDropdown = new Select(selectZ);\n\t\tzDropdown.selectByVisibleText(\"Ontario\");\n\t\tcontinueBilling.click();\n\t\tThread.sleep(3000);\n\t\tSelect aDropdown = new Select(selectA);\n\t\taDropdown.getFirstSelectedOption();\n\t\tdriver.findElement(By.cssSelector(\"#button-shipping-address\")).click();\n\t\tThread.sleep(3000);\n\t\tdriver.findElement(By.cssSelector(\"#button-shipping-method\")).click();\t\n\t\tThread.sleep(3000);\n\t\tdriver.findElement(By.cssSelector(\"input[type='checkbox'][name='agree']\")).click();\t\t\n\t\tdriver.findElement(By.cssSelector(\"#button-payment-method\")).click();\t\n\t\tdriver.findElement(By.cssSelector(\"input[value='Confirm Order']\")).click();\t\n\t\tThread.sleep(3000);\n\t\tif(driver.getCurrentUrl().contains(\"/success\")) {\n\t\t\tdriver.findElement(By.cssSelector(\"a[href='/home']\")).click();\t\t\n\t\t\tAssert.assertTrue(true);\n\t\t} else {\n\t\t\tAssert.assertFalse(true);\n\t\t}\n\n\t}", "public void clickOnEnrollNowButton() {\n\t\tif(enrollNowButton.isEnabled()) {\n\t\twaitAndClick(enrollNowButton);\n\t\t}\n\t}", "private void CheckoutActionPerformed(java.awt.event.ActionEvent evt) {\n }", "public void clickCalendarCheckOutDate() {\n\t\tcalendarCheckOutButton.click();\n\t}", "public void clickOnLoginButton(){\n\t\tthis.loginButton.click();\n\t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tonInappBilling();\n//\t\t\t\tonBuyPressed();\n\t\t\t}", "public void cashondeliverysubmit(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Submit order button should be clicked\");\r\n\t\ttry{\r\n\t\t\twaitforElementVisible(locator_split(\"btnsubmitorder\"));\r\n\t\t\tclick(locator_split(\"btnsubmitorder\"));\r\n\t\t\tif(isExist(locator_split(\"btnsubmitorder\")))\r\n\t\t\t{\r\n\t\t\t\tclick(locator_split(\"btnsubmitorder\"));\r\n\t\t\t}\r\n\r\n\t\t\twaitForPageToLoad(20);\r\n\t\t\tSystem.out.println(\"Submit order button is clicked.\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Submit order button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Submit order button is not clicked \");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnsubmitorder\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "public void clickNoFee() {\n rbNoFee.click();\n }", "@Test\n public void ShowMorePaymentsButton() {\n onView(withId(R.id.showMorePayments)).check(matches(isDisplayed())); // Find button\n onView(withId(R.id.showMorePayments)).check(matches(isClickable())); // Check if clickable\n onView(withId(R.id.showMorePayments)).perform(click()); // Perform click\n intended(hasComponent(showMorePayments.class.getName())); // Opens more payments page\n }", "public void clickLoginBtn() {\r\n\t\tthis.loginBtn.click(); \r\n\t}", "public void acceptAndProceed()\r\n {\r\n\t driver.findElement(By.id(\"PCNChecked\")).click();\r\n\t driver.findElement(By.xpath(\"/html/body/div[1]/div/div/main/div/main/div/div/div[1]/div/div/form/fieldset/div[3]/div[2]/button\")).click();\r\n }", "public void clickOnLogin() {\n\t\tWebElement loginBtn=driver.findElement(loginButton);\n\t\tif(loginBtn.isDisplayed())\n\t\t\tloginBtn.click();\n\t}", "public void ClickShoppingcart(View view){\n MainActivity.redirectActivity(this,Shopping_cart_MainActivity.class);\n }", "@When(\"User clicks on Find Details button\")\r\n\tpublic void user_clicks_on_find_details_button() \r\n\t{\n\t driver.findElement(By.xpath(\"//input[@type='submit']\")).click();\r\n\t}", "public void clickStockTab(){\r\n\t\t\r\n\t\tString xpath = \"//div[contains(@class,\"+PURCHASING_PRODUCT_WINDOW_CLASS+\")]//span[text()='Stock']\";\r\n\t\twaitForExtJSAjaxComplete(20);\r\n\t\tWebDriverWait wait = new WebDriverWait(driver,20);\r\n\t\twait.until(ExpectedConditions.elementToBeClickable(By.xpath(xpath)));\r\n\t\t\r\n\t\tMcsElement.getElementByAttributeValueAndParentElement(driver, \"div\", \"@class\", PURCHASING_PRODUCT_WINDOW_CLASS, \"span\", \"text()\", \"Stock\", true, true).click();\r\n\t\t\r\n\t}", "public void clickOnLogOutButton() {\n Reporter.addStepLog(\"click on logout button \" + _logOutOnNopCommerce.toString());\n clickOnElement(_logOutOnNopCommerce);\n log.info(\"click on logout button \" + _logOutOnNopCommerce.toString());\n }", "public void clickOnEditButton() {\r\n\t\tsafeClick(addMarkerOkButton.replace(\".ant-modal-footer button.ant-btn.ant-btn-primary\",\r\n\t\t\t\t\".ant-btn.ant-btn-primary.ant-btn-circle\"), SHORTWAIT);\r\n\t}", "public void purchaseFlights()\r\n\t{\n\t\tdriver.findElement(By.xpath(trObj.PURCHASEFLISGHTS)).click();\r\n\r\n\t}", "public void shoppingOnSauceLabs(){\n waitElement(backpack_product);\n click(backpack_product);\n waitElement(buttonAddToCart);\n click(buttonAddToCart);\n waitElement(iconShoppingCart);\n click(iconShoppingCart);\n click(buttonCheckOut);\n }", "private void clickInvite(){\n WebDriverHelper.clickElement(inviteButton);\n }", "void clickOnDelivery(Delivery delivery);", "public void clickSubmitButton(){\n actionsWithOurElements.clickOnElement(buttonSubmit);\n }", "public void continue_billing() {\r\n\t\t\tthis.Continue_Billing.click();\r\n\t\t}", "public void manageCashDrawerBtn() {\n\t\tpause(1000);\n\t\tWebElement temp = (new WebDriverWait(driver, waitTime))\n\t\t\t\t .until(ExpectedConditions.presenceOfElementLocated(By.id(\"managePrtBtn\")));\n\t\ttemp.click();\n\t\tpause(1000);\n\t}", "public void checkout() {\n\t}", "public static void viewCart() {\n click(CART_BUTTON);\n click(VIEW_CART_BUTTON);\n }", "public void clickCookieOKButton(WebDriver driver)\n\t\t {\n\t\t\t \n\t\t\t try\n\t\t\t {\n\t\t\t\tList<WebElement> allbutton = driver.findElements(By.tagName(\"button\"));\n\t\t\t\t\n\t\t\t\tfor(WebElement btn:allbutton)\n\t\t\t\t{\n\t\t\t\t\tString strbtnText = btn.getText();\n\t\t\t\t\tif(strbtnText.equals(\"OK\"))\n\t\t\t\t\t{\n\t\t\t\t\t\tbtn.click();\n\t\t\t\t\t\tbreak;\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t \n\t\t\t }\n\t\t\t catch(Exception e)\n\t\t\t {\n\t\t\t\t System.out.println(\"\");\n\t\t\t }\n\t\t }", "public void clickBuyEditQuote(ExtentTest extentReport) throws Exception {\n\t\ttry {\n\t\t\tbtnBuyEditQuote.click();\n\t\t\tLog.message(\"Clicked on Buy button\", driver, extentReport);\n\t\t\tWaitUtils.waitForSpinner(driver);\n\t\t} catch (Exception e) {\n\t\t\tthrow new Exception(\"Unable to click on Buy Button. \" + e);\n\t\t}\n\t}", "public void clickFirstQviewbutton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Qview First Buy button should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\t/List<WebElement> eles=driver.findElements((locator_split(\"btnQview\")));\r\n\t\t\tSystem.out.println(eles.size());\r\n\t\t\teles.get(0).click();*/\r\n\r\n\t\t\tclick(locator_split(\"btnQview\"));\t\t\t\t\r\n\t\t\tSystem.out.println(\"Clicked on the First Buy button\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- First Buy Button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Qview First Buy button is not clicked or Not Available\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnQview\")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t}", "public void clickSalvar (){driver.findElement(botaoSalvar).click();}", "public void ClickContinueShoppingBtnAddedToCartPage( ){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Continue Shopping button clicked in Added to Cart Page.\");\r\n\t\ttry{\r\n\r\n\t\t\twaitforElementVisible(locator_split(\"btnShoppingCartContinueShopping\"));\r\n\t\t\tclick(locator_split(\"btnShoppingCartContinueShopping\"));\r\n\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Continue Shopping button clicked in Added to Cart Page.\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Continue Shopping button is not clicked in Added to Cart Page.\"+elementProperties.getProperty(\"btnShoppingCartContinueShopping\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnShoppingCartContinueShopping\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\r\n\t}", "public void click() {\n\t\tSystem.out.println(\"LinuxButton Click\");\r\n\t}", "public void clickOnYesButton() {\r\n\t\tsafeJavaScriptClick(manageVehiclesSideBar.replace(\"Manage Vehicles\", \"Yes\"));\r\n\t}" ]	[ "0.8472993", "0.8181987", "0.8098494", "0.79743785", "0.79675025", "0.7747089", "0.74768144", "0.7401162", "0.7293514", "0.7133316", "0.7107396", "0.69870317", "0.69533014", "0.68891", "0.6844046", "0.68061674", "0.67721844", "0.6758507", "0.67553777", "0.6736611", "0.668681", "0.66699815", "0.6661748", "0.6658931", "0.66222143", "0.6618787", "0.65487266", "0.6537209", "0.6496556", "0.64916825", "0.64875853", "0.6429161", "0.6355143", "0.634966", "0.6348587", "0.6331015", "0.6326098", "0.63116026", "0.6303131", "0.62933606", "0.6283833", "0.62777585", "0.6270292", "0.6259378", "0.6243124", "0.6242814", "0.6230837", "0.62307775", "0.6224047", "0.6214494", "0.61999154", "0.6196234", "0.61875623", "0.61821485", "0.6176675", "0.6165581", "0.6159498", "0.6150995", "0.6144955", "0.61269784", "0.6116561", "0.6116554", "0.6116081", "0.6115095", "0.61118853", "0.6109297", "0.6091991", "0.60915756", "0.608996", "0.6082128", "0.6078317", "0.60704356", "0.60695326", "0.6061423", "0.6053872", "0.60347205", "0.6017708", "0.6015944", "0.60131276", "0.6004771", "0.59927064", "0.5984838", "0.5984111", "0.59783584", "0.59656787", "0.5960031", "0.5959765", "0.59594005", "0.5958984", "0.5956866", "0.5956365", "0.595147", "0.5946497", "0.5945495", "0.59285986", "0.5926571", "0.5921241", "0.5916503", "0.5916009", "0.5915501" ]	0.794448	5
Get the Product Name	public synchronized WebElement txt_ProductName() throws Exception { return utils.findElementByLocator(driver, "PDP_ProductName", "\| PDP:Product Name not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Override\n\tpublic String getName() {\n\t\treturn product.getName();\n\t}", "public String getName(){\n\t\treturn Name; // Return the product's name\n\t}", "public String getProductName() {\r\n return productName;\r\n }", "public java.lang.String getProductName () {\r\n\t\treturn productName;\r\n\t}", "public String getProductName() {\r\n\t\treturn productName;\r\n\t}", "public String getProductName() {\n return productName;\n }", "public String getProductName() {\n return productName;\n }", "public String getProductName() {\n return productName;\n }", "public java.lang.String getProductName() {\n return productName;\n }", "public String getProductName() {\n\t\treturn productName;\n\t}", "public String getProductName(){\n return productRelation.getProductName();\n }", "public String getProdDetailsName(){\n String prodName = productDetailsName.toString();\n return prodName;\n }", "public String getNameProd() {\n\t\treturn nameProd;\n\t}", "public String getProdName() {\n\t\treturn prodName;\n\t}", "@Override\n public String getEISProductName() throws ResourceException {\n return repository.getDescriptor(Repository.REP_NAME_DESC);\n }", "public String getProductTypeName() {\r\n return productTypeName;\r\n }", "private String randomProductName() {\n\n String productName = this.products.get(intRandom(products.size() - 1));\n return productName;\n }", "public java.lang.String getProduct() {\n return product;\n }", "String getProduct();", "protected String extractProductName(String record) {\n var payload = new JSONObject(record);\n if (payload.has(\"payload\")) {\n payload = payload.getJSONObject(\"payload\");\n }\n JSONArray array1 = payload.getJSONArray(\"files\");\n logger.info(\"Product name:\");\n for (int j = 0; j < array1.length(); j++) {\n JSONObject obj2 = array1.getJSONObject(j);\n //System.out.println(obj2);\n if (obj2.has(\"productName\")){\n String productName = obj2.getString(\"productName\");\n System.out.println(productName);\n return productName;\n }\n }\n System.out.println(\"Product name not retrieved.\");\n return null;\n }", "public Product getProductFromName(String prodName) throws BackendException;", "public String getNomeProduto() {\r\n\t\treturn nomeProduto;\r\n\t}", "java.lang.String getProductDescription();", "public String getProductLabel(){\n return productLabel.getText().trim();\n }", "public String getProduct() {\r\n return this.product;\r\n }", "public synchronized WebElement shoppingBagProductName() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ShoppingBagProduct\",\n\t\t\t\t\"\| PDP:Content(Product Name) of the Shopping bag page\");\n\t}", "public String getProduct() {\n return product;\n }", "public String getProduct() {\n return product;\n }", "public String getProduct() {\n return this.product;\n }", "java.lang.String getProductCode();", "public java.lang.String getProductInfo () {\n\t\treturn productInfo;\n\t}", "public String getProduct()\n {\n return product;\n }", "String getNombreProducto();", "Product getProductByProductName(String productName);", "String getTheirProductId();", "public void setProductName(final String productName);", "String getProductId();", "public String product() {\n return this.product;\n }", "public String getNamePro() {\n return namePro;\n }", "public String getNoSqlDbProductName() throws StoreFactoryException;", "public String getProductOwner();", "public void setProductName(String productName) {\r\n this.productName = productName;\r\n }", "private String getProductNameById(String testAdministrationVal) {\r\n\t\tString productName = null;\r\n\t\ttry {\r\n\t\t\tif ((testAdministrationVal != null) && (!\"null\".equalsIgnoreCase(testAdministrationVal))) {\r\n\t\t\t\tproductName = inorsService.getProductNameById(Long.valueOf(testAdministrationVal));\r\n\t\t\t}\r\n\t\t} catch (Exception e) {\r\n\t\t\tlogger.log(IAppLogger.WARN, e.getMessage());\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\treturn (productName == null) ? \"\" : productName;\r\n\t}", "String getDepotname();", "public void setProductName(String productName) {\n this.productName = productName;\n }", "public void setProductName(String productName) {\n this.productName = productName;\n }", "public void setProductName(String productName) {\n this.productName = productName;\n }", "@Override\n public String getProductName() {\n return ProductName.REFLECTIONS_II_BOOSTER_PACK;\n }", "public String getProName() {\n return proName;\n }", "public String getDatabaseProduct();", "public String getNombre() {\n\t\treturn producto.getNombre();\n\t}", "private RLabel getProductLabel() {\n if (productLabel == null) {\n productLabel = new RLabel();\n productLabel.setText(\"<%= ivy.cms.co(\\\"/Dialogs/about/product\\\") %>\");\n productLabel.setStyleProperties(\"{/insetsTop \\\"2\\\"}\");\n productLabel.setName(\"productLabel\");\n }\n return productLabel;\n }", "public void setProductName(java.lang.String productName) {\n this.productName = productName;\n }", "String getPlatformName();", "public void setProductName(String productName) {\r\n\t\tthis.productName = productName;\r\n\t}", "public String getProductColorName() {\r\n return productColorName;\r\n }", "@Test\n public void testGetProductName_1()\n throws Exception {\n Project fixture = new Project();\n fixture.setWorkloadNames(\"\");\n fixture.setName(\"\");\n fixture.setScriptDriver(ScriptDriver.SilkPerformer);\n fixture.setWorkloads(new LinkedList());\n fixture.setComments(\"\");\n fixture.setProductName(\"\");\n\n String result = fixture.getProductName();\n\n assertEquals(\"\", result);\n }", "public void setProductName (java.lang.String productName) {\r\n\t\tthis.productName = productName;\r\n\t}", "String getCatalogName();", "String currentProduct() {\n if (PageFlowContext.getPolicy() != null && PageFlowContext.getPolicy().getProductTypeId() != null) {\n return PageFlowContext.getPolicy().getProductTypeId();\n } else {\n return \"\";\n }\n }", "public java.lang.String getName();", "String getStockName();", "public String getProductExt() {\n return (String)getAttributeInternal(PRODUCTEXT);\n }", "String getName() ;", "public String getProductId();", "String getPName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();" ]	[ "0.8488001", "0.8409583", "0.8400024", "0.8373865", "0.8352457", "0.8342693", "0.8342693", "0.8342693", "0.83195627", "0.8275608", "0.8249424", "0.7942589", "0.7715989", "0.77081734", "0.76436156", "0.74980867", "0.73893785", "0.7336547", "0.7313527", "0.7112284", "0.70938146", "0.7075553", "0.7051627", "0.69559914", "0.6955701", "0.69279206", "0.69167405", "0.69167405", "0.6908924", "0.6884664", "0.68603677", "0.68454224", "0.68298674", "0.6807056", "0.6793568", "0.6792832", "0.6778574", "0.6745139", "0.67447007", "0.6717209", "0.66862667", "0.6648001", "0.66394746", "0.66201395", "0.66168815", "0.66168815", "0.66168815", "0.6616167", "0.6613781", "0.6558186", "0.65429306", "0.65367246", "0.6527202", "0.6504917", "0.64998215", "0.6466548", "0.6458356", "0.6458193", "0.6444917", "0.6438043", "0.6433447", "0.6433238", "0.6425059", "0.6421383", "0.6406733", "0.64020026", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095" ]	0.70494086	23
Get the Bread Chrumb	public synchronized List<WebElement> txt_breadChrumb() throws Exception { return utils.findElementsByLocator(driver, "PDP_BreadCrumb", "\| PDP:Bread Crumb not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public Brick getBrick() {\n return this.myBrick;\n }", "public GitBranch getBranch() { return GitDir.this.getBranch(getName()); }", "public java.lang.String getUnitBreadth() {\n\t\treturn _tempNoTiceShipMessage.getUnitBreadth();\n\t}", "int getBackpack();", "public int bcNode() {\n return bcIndex;\n }", "public final int getB() {\n\t\treturn blue;\n\t}", "public Integer getBloque() {\r\n return bloque;\r\n }", "public BrickGraphic getBrickGraphic(){\r\n\t\treturn new BrickGraphic(this.getX(), this.getY(), this.getSizeX(),\r\n\t\t\t\tthis.getSizeY(), this.getColor());\r\n\t}", "public int getBranchCount() { return _brcnt; }", "public double getBreadth() {\n\t\treturn _tempNoTiceShipMessage.getBreadth();\n\t}", "public int getBackpack() {\n return backpack_;\n }", "public int getBackpack() {\n return backpack_;\n }", "public BrickFactory<E> getBrickFactory()\r\n\t{\r\n\t\treturn brickFactory;\r\n\t}", "public Band getBand() {\n return band;\n }", "private static int getRandBranchExcept(int brid) {\n if(noOfBranches == 1) return brid;\n int bid = rand.nextInt(noOfBranches - 1);\n if (bid < brid)\n return bid;\n return bid + 1;\n }", "public int getB() {\n return b_;\n }", "public int getB() {\n return b_;\n }", "public int getB() {\n return b_;\n }", "java.lang.String getBunho();", "java.lang.String getBunho();", "String getBrickName();", "HibBranch getBranch(InternalActionContext ac, HibProject project);", "public static Bluetooth getBT(){\n return BT;\n }", "public int getB() {\n return b_;\n }", "public int getB() {\n return b_;\n }", "public int getB() {\n return b_;\n }", "public int getBoomChannel() {\n return boomChannel;\n }", "public java.lang.String getBlh() {\r\n return localBlh;\r\n }", "public String getCHEQUE_BANK() {\r\n return CHEQUE_BANK;\r\n }", "public Location getCornerB() {\n return cornerB;\n }", "public Integer getBh() {\r\n return bh;\r\n }", "@Override\n public BPath getBPath() {\n if (getThread() == null)\n {\n if (DEBUG) Timber.e(\"Owner Thread is null\");\n return null;\n }\n return getThread().getBPath().addPathComponent(BFirebaseDefines.Path.BMessagesPath, entityID);\n }", "public TreeBidCard getTreeBidCard(String treeKey) {\n\t\treturn cacheTree.getTreeBidCard(treeKey);\n\t}", "public int getB() {\n\t\treturn b;\n\t}", "BTNode<T> getRoot();", "abstract BufferedImage getBackround();", "private Branch getBranch(String branchId) {\n \t\tBranch result = null;\n\n \t\tif (branchId != null) {\n \t\t\t// if branch doesn't exist, create it\n \t\t\tif (!branches.containsKey(branchId)) {\n \t\t\t\tresult = new Branch();\n \t\t\t\tresult.setBranchId(branchId);\n \t\t\t\tbranches.put(branchId, result);\n \t\t\t} else {\n \t\t\t\tresult = branches.get(branchId);\n \t\t\t}\n \t\t}\n \t\treturn result;\n \t}", "public int getB() {\r\n\t\treturn b;\r\n\t}", "public GitBranch getBranch(String aName) { return GitDir.this.getBranch(getName() + '/' + aName); }", "public BranchDetails getBranchDetails(){\n\t\n\tbranchD = BranchDetails.getBranchDetails();\t\n\treturn branchD;\n\t}", "public String outputBreadthFirstSearch() {\n\n String output = \"\";\n\n // create a queue for BFS \n LinkedList<TrieNode> queue = new LinkedList<>();\n\n queue.add(root);\n\n while (queue.size() != 0) {\n // dequeue a node from queue and append to the output\n TrieNode s = queue.poll();\n\n // append to the output\n output += s;\n\n // get all children nodes of the dequeued node s\n TrieNode[] children = s.offsprings;\n for (int i = 0; i < 26; i++) {\n TrieNode next = children[i];\n if (next != null) {\n queue.add(next);\n }\n\n }\n }\n return output;\n }", "public int getStartingBombs() {\n \t\treturn 1;\n \t}", "public List<Branch> getBranchs()\r\n\t{\t\r\n\t\tif (branchs.size() == 0)\r\n\t\t{\r\n\t\t\t//Lacos abertos carga x terra (redes radiais)\r\n\t\t\tbranchs.addAll(findBranchs());\t\t\r\n\t\t\r\n\t\t}\r\n\t\treturn branchs; \r\n\t}", "private static String findHighParent_B(BabelSynset bs) throws IOException {\n\t\tdouble weight = 0.0;\n\t\tString id = null;\n\t\tArrayList<String> B_parentsDouble = new ArrayList<String>();\n\t\tList<BabelSynsetIDRelation> edges = bs.getEdges(BabelPointer.ANY_HYPERNYM);\n\t\t\n\t\tfor(BabelSynsetIDRelation b : edges) {\n\t\t\tweight += b.getWeight();\n\t\t}\n\t\tif(weight == 0.0) return edges.get(0).getTarget();\n\t\t\n\t\tweight = 0.0;\n\t\tfor(BabelSynsetIDRelation b : edges) {\n\t\t\tString b_id = b.getTarget();\n\t\t\tif(!B_parentsDouble.contains(b_id) \|\| (B_parentsDouble.contains(b_id) && b.getWeight() != 0.0)) {\n\t\t\t\tdouble temp_weight = b.getWeight();\n\t\t\t\tif(temp_weight > weight && !B_Ancestors.contains(b_id)) {\n\t\t\t\t\tweight = temp_weight;\n\t\t\t\t\tid = b_id;\n\t\t\t\t}\n\t\t\t\tB_parentsDouble.add(b_id);\n\t\t\t}\n\t\t}\n\t\tif(id == null) id = \"bn:00031027n\";\n\t\treturn id;\n\t}", "public CanopyCrum rootFor(CanopyCrum bertCrum) {\n\tpathFor(bertCrum);\n\treturn myCachedRoot;\n/\nudanax-top.st:13143:CanopyCache methodsFor: 'operations'!\n{CanopyCrum} rootFor: bertCrum {CanopyCrum} \n\t\"Return the crum at the top of canopyCrum's canopy.\"\n\tself pathFor: bertCrum.\n\t^myCachedRoot!\n/\n}", "private Node getLobby() {//大廳節點\n\n Node base = new Node();\n\n base.setRenderable(arrowRenderable);\n\n return base;\n\n }", "public String getBoatConstruct() {\n return BOATCONSTRUCT[boatConstructIndex];\n }", "public String getBranchCode() {\n return normalizedBic.substring(BRANCH_CODE_INDEX, BRANCH_CODE_INDEX + BRANCH_CODE_LENGTH);\n }", "public Image getBlast() { return blast;\t}", "public String getBranchName() {\r\n return branchName;\r\n }", "public String getBSB() {\n\t\tthis.setBSB(this.bsb);\n\t\treturn this.bsb;\n\t}", "public java.lang.String getBLH() {\r\n return localBLH;\r\n }", "public TreeBuffer getTreeBuffer() {\r\n\t\treturn _tb;\r\n\t}", "public int getNumberOfBCs() { return numberOfBCs; }", "public String getBranchName() {\n return branchName;\n }", "public String getBranchname() {\n return branchname;\n }", "public String getQueueBand() {\n return _queueBand;\n }", "public int getNbTreeBidCard() {\n\t\treturn cacheTree.getNbTreeBidCard();\n\t}", "public String getBucd() {\r\n return bucd;\r\n }", "public String getBranchName() {\n return branchName;\n }", "public String getNomBloque() {\n return nomBloque;\n }", "public KochLine getLineB(){\n\t\tKochLine lineB= new KochLine(p2,p3);\n\t\treturn lineB;\n\t\t\n\t}", "public Integer getBranchNum() {\r\n return branchNum;\r\n }", "public java.lang.String getBranchDesc() {\n return branchDesc;\n }", "public GenericColorizer getNodeBorderColorizer() {\n return nodeBorderColorizer;\n }", "public Image getBlast2() { return blast2;\t}", "private org.gwtbootstrap3.client.ui.html.Br get_f_Br62() {\n return build_f_Br62();\n }", "public boolean getRB() {\n\t\treturn getRawButton(Right_Bumper);\n\t}", "public BranchGroup getMasterBranch()\r\n {\r\n \treturn mb.branch;\r\n }", "public List<PackerTreeNode<T>> getBranch() {\n final var result = new ArrayList<PackerTreeNode<T>>();\n result.add(this);\n if (parent != null) {\n result.addAll(parent.getBranch());\n }\n return result;\n }", "public Float getBh() {\r\n return bh;\r\n }", "public int getBombs() {\n\t\treturn bombs;\n\t}", "public int getBloco() {\r\n\t\treturn bloco;\r\n\t}", "@Pure\n public QuadTreeNode<D> getUpperLeftChild() {\n QuadTreeNode<D>[] _children = this.children;\n QuadTreeNode<D> _get = null;\n if (_children!=null) {\n _get=_children[1];\n }\n return _get;\n }", "public void breadthFirst() {\n\t\tQueue<Node> queue = new ArrayDeque<>();\n\t\tqueue.add(root);\n\t\twhile(!queue.isEmpty()) {\n\t\t\tif(queue.peek().left!=null)\n\t\t\t\tqueue.add(queue.peek().left);\n\t\t\tif(queue.peek().right!=null)\n\t\t\t\tqueue.add(queue.peek().right);\n\t\t\tSystem.out.println(queue.poll().data);\n\t\t}\n\t}", "public int getBombs() {\n return bombs;\n }", "public List<Branch> getChildBranches() {\n return (childBranches != null) ? childBranches :\n Collections.emptyList();\n }", "public int getBNumber(){\n\t\t return B_number;\n\t}", "public String getBackNeckDepth() {\r\n\t\treturn backNeckDepth;\r\n\t}", "public synchronized WebElement div_pdpBreadcrumb_parent() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_BreadCrumb_Parent\", \"\| PDP:Bread Crumb not present\");\n\t}", "private int calcBF(Node node){\n\t\tint bf;\n\t\tif(node.left == null && node.right == null)\n\t\t\treturn 0;\n\t\tif(node.left == null){\n\t\t\tbf= -node.right.height;\n\t\t\tnode.height= 1+ node.right.height;\n\t\t}\n\t\telse if(node.right == null){\n\t\t\tbf= node.left.height;\n\t\t\tnode.height= 1+ node.left.height;\n\t\t}\n\t\telse {\n\t\t\tbf= node.left.height - node.right.height;\n\t\t\tnode.height = 1+ Math.max(node.left.height , node.right.height);\n\t\t}\n\t\treturn bf;\n\t}", "public double getBrre() {\n return brre;\n }", "public Optional<String> getBranch() {\n return Optional.fromNullable(branch);\n }", "public java.lang.String getBranchName() {\n return branchName;\n }", "public String getB() {\n return b;\n }", "public static UniformCostSearchNode searchBnB(UniformCostSearchNode root){\n PriorityQueue<UniformCostSearchNode> frontier = new PriorityQueue<UniformCostSearchNode>();\n\n // hash set for fast verification of closed nodes\n HashSet<UniformCostSearchNode> closed = new HashSet<UniformCostSearchNode>();\n\n int upperBoundCost = Integer.MAX_VALUE;\n\n frontier.add(root);\n\n while(frontier.size() != 0){\n UniformCostSearchNode current = frontier.remove();\n if(current.isGoalState()){\n System.out.println(\"UCS B&B Nodes explored: \" + closed.size());\n return current;\n }\n\n // implicitly pruning the frontier\n if(current.getCost() >= upperBoundCost){\n // skipping due to bounding\n continue;\n }\n\n closed.add(current);\n\n PriorityQueue<UniformCostSearchNode> toAdd = new PriorityQueue<UniformCostSearchNode>();\n for(UniformCostSearchNode neighbor : current.getNeighbors()){\n toAdd.add(neighbor);\n }\n\n while(toAdd.size() != 0) {\n UniformCostSearchNode neighbor = toAdd.remove();\n if (neighbor.getCost() < upperBoundCost) {\n if (neighbor.isGoalState()) {\n // bounding\n upperBoundCost = neighbor.getCost();\n }\n frontier.add(neighbor);\n }\n }\n }\n\n System.out.println(\"UCS B&B Search failed, nodes explored: \" + closed.size());\n // search failed\n return null;\n }", "public Blackboard getBlackboard() {\r\n return blackboard;\r\n }", "public String getBranchNo() {\r\n return branchNo;\r\n }", "public java.lang.String getBunho() {\n java.lang.Object ref = bunho_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n if (bs.isValidUtf8()) {\n bunho_ = s;\n }\n return s;\n }\n }", "public java.lang.String getBunho() {\n java.lang.Object ref = bunho_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n if (bs.isValidUtf8()) {\n bunho_ = s;\n }\n return s;\n }\n }", "public Node renderCardBack(State.Hero h){\n this.belongsTo = h;\n Rectangle card = new Rectangle();\n card.setHeight(152);\n card.setWidth(106.4);\n ImagePattern p = new ImagePattern(new Image(\"vendor/assets/card_back.png\"));\n card.setFill(p);\n\n return card;\n }", "private String getBWT(){\n Character[] alphabet = wt.root.alphabetMap.keySet().toArray(new Character[0]);\n String bwt = \"\";\n \n for (int i = 0; i < wt.root.bitVector.length+1; i++) {\n for (int j = 0; j < alphabet.length; j++) {\n int rank1 = wt.rank(alphabet[j].charValue(), i);\n int rank2 = wt.rank(alphabet[j].charValue(), i-1);\n if(rank1 != rank2){\n bwt += alphabet[j];\n }\n }\n }\n return bwt;\n }", "String branch();", "public static Node findFloorNode (Node bst){\n\t\tNode startingNode = null;\n\t\tString s = \"\";\n\t\tif(bst != null){\n\t\t\tif(bst.getRight()!=null){\n\t\t\t\tstartingNode = bst.getRight();\n\t\t\t\ts += \" -> \" + startingNode.getName();\n\t\t\t\twhile(startingNode.getLeft()!=null){\n\t\t\t\t\tstartingNode = startingNode.getLeft();\n\t\t\t\t\ts += \" -> \" + startingNode.getName();\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tSystem.out.println(s);\n\n\t\treturn startingNode;\n\t}", "public int[] getBusesForBranch(int br)\n\t{\n\t\tint endq = br*2;\n\t\tint endp = endq+1;\n\t\treturn new int[] {_far[endp],_far[endq]};\n\t}", "public ByteBuffer buffer() { return bb; }", "private Board getBoard() {\n return gameStatus.getBoard();\n }", "public BigDecimal getBRANCH_CODE() {\r\n return BRANCH_CODE;\r\n }", "public BigDecimal getBRANCH_CODE() {\r\n return BRANCH_CODE;\r\n }", "public BigDecimal getBRANCH_CODE() {\r\n return BRANCH_CODE;\r\n }" ]	[ "0.6359678", "0.5991046", "0.59393436", "0.5914464", "0.58013856", "0.57474643", "0.56598854", "0.56328607", "0.56122816", "0.56118625", "0.55733836", "0.5545549", "0.5544405", "0.55441797", "0.55093384", "0.54700065", "0.54700065", "0.54700065", "0.54534465", "0.54534465", "0.543746", "0.5433065", "0.5429285", "0.54288393", "0.54288393", "0.54288393", "0.5427932", "0.5402538", "0.5402249", "0.5399447", "0.5391706", "0.53790224", "0.5359025", "0.5358007", "0.53568244", "0.53496975", "0.5327088", "0.5312429", "0.5311112", "0.53105426", "0.530743", "0.5279893", "0.5276676", "0.527145", "0.5268341", "0.5266293", "0.52636355", "0.52634186", "0.52508116", "0.524857", "0.5243354", "0.5239093", "0.5235245", "0.52290255", "0.5227917", "0.5226114", "0.5225902", "0.5220344", "0.5219642", "0.5217039", "0.5207804", "0.52038056", "0.5197713", "0.5190379", "0.51872647", "0.5186728", "0.51821387", "0.5181302", "0.5175098", "0.51730984", "0.517047", "0.51632285", "0.51607424", "0.51601684", "0.5146985", "0.51404697", "0.51400316", "0.51375467", "0.5129123", "0.51264167", "0.5125624", "0.511697", "0.510595", "0.510497", "0.5100111", "0.5099796", "0.50967246", "0.5093159", "0.50922287", "0.50922287", "0.50912464", "0.5089555", "0.50867563", "0.5084792", "0.5083632", "0.5081992", "0.5080651", "0.50779325", "0.50779325", "0.50779325" ]	0.5958104	2
Get the Bread Chrumb	public synchronized WebElement div_pdpBreadcrumb_parent() throws Exception { return utils.findElementByLocator(driver, "PDP_BreadCrumb_Parent", "\| PDP:Bread Crumb not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public Brick getBrick() {\n return this.myBrick;\n }", "public GitBranch getBranch() { return GitDir.this.getBranch(getName()); }", "public synchronized List<WebElement> txt_breadChrumb() throws Exception {\n\n\t\treturn utils.findElementsByLocator(driver, \"PDP_BreadCrumb\", \"\| PDP:Bread Crumb not present\");\n\t}", "public java.lang.String getUnitBreadth() {\n\t\treturn _tempNoTiceShipMessage.getUnitBreadth();\n\t}", "int getBackpack();", "public int bcNode() {\n return bcIndex;\n }", "public final int getB() {\n\t\treturn blue;\n\t}", "public Integer getBloque() {\r\n return bloque;\r\n }", "public BrickGraphic getBrickGraphic(){\r\n\t\treturn new BrickGraphic(this.getX(), this.getY(), this.getSizeX(),\r\n\t\t\t\tthis.getSizeY(), this.getColor());\r\n\t}", "public int getBranchCount() { return _brcnt; }", "public double getBreadth() {\n\t\treturn _tempNoTiceShipMessage.getBreadth();\n\t}", "public int getBackpack() {\n return backpack_;\n }", "public int getBackpack() {\n return backpack_;\n }", "public BrickFactory<E> getBrickFactory()\r\n\t{\r\n\t\treturn brickFactory;\r\n\t}", "public Band getBand() {\n return band;\n }", "private static int getRandBranchExcept(int brid) {\n if(noOfBranches == 1) return brid;\n int bid = rand.nextInt(noOfBranches - 1);\n if (bid < brid)\n return bid;\n return bid + 1;\n }", "public int getB() {\n return b_;\n }", "public int getB() {\n return b_;\n }", "public int getB() {\n return b_;\n }", "java.lang.String getBunho();", "java.lang.String getBunho();", "String getBrickName();", "HibBranch getBranch(InternalActionContext ac, HibProject project);", "public static Bluetooth getBT(){\n return BT;\n }", "public int getB() {\n return b_;\n }", "public int getB() {\n return b_;\n }", "public int getB() {\n return b_;\n }", "public int getBoomChannel() {\n return boomChannel;\n }", "public java.lang.String getBlh() {\r\n return localBlh;\r\n }", "public String getCHEQUE_BANK() {\r\n return CHEQUE_BANK;\r\n }", "public Location getCornerB() {\n return cornerB;\n }", "public Integer getBh() {\r\n return bh;\r\n }", "@Override\n public BPath getBPath() {\n if (getThread() == null)\n {\n if (DEBUG) Timber.e(\"Owner Thread is null\");\n return null;\n }\n return getThread().getBPath().addPathComponent(BFirebaseDefines.Path.BMessagesPath, entityID);\n }", "public TreeBidCard getTreeBidCard(String treeKey) {\n\t\treturn cacheTree.getTreeBidCard(treeKey);\n\t}", "public int getB() {\n\t\treturn b;\n\t}", "BTNode<T> getRoot();", "abstract BufferedImage getBackround();", "private Branch getBranch(String branchId) {\n \t\tBranch result = null;\n\n \t\tif (branchId != null) {\n \t\t\t// if branch doesn't exist, create it\n \t\t\tif (!branches.containsKey(branchId)) {\n \t\t\t\tresult = new Branch();\n \t\t\t\tresult.setBranchId(branchId);\n \t\t\t\tbranches.put(branchId, result);\n \t\t\t} else {\n \t\t\t\tresult = branches.get(branchId);\n \t\t\t}\n \t\t}\n \t\treturn result;\n \t}", "public int getB() {\r\n\t\treturn b;\r\n\t}", "public GitBranch getBranch(String aName) { return GitDir.this.getBranch(getName() + '/' + aName); }", "public BranchDetails getBranchDetails(){\n\t\n\tbranchD = BranchDetails.getBranchDetails();\t\n\treturn branchD;\n\t}", "public String outputBreadthFirstSearch() {\n\n String output = \"\";\n\n // create a queue for BFS \n LinkedList<TrieNode> queue = new LinkedList<>();\n\n queue.add(root);\n\n while (queue.size() != 0) {\n // dequeue a node from queue and append to the output\n TrieNode s = queue.poll();\n\n // append to the output\n output += s;\n\n // get all children nodes of the dequeued node s\n TrieNode[] children = s.offsprings;\n for (int i = 0; i < 26; i++) {\n TrieNode next = children[i];\n if (next != null) {\n queue.add(next);\n }\n\n }\n }\n return output;\n }", "public int getStartingBombs() {\n \t\treturn 1;\n \t}", "public List<Branch> getBranchs()\r\n\t{\t\r\n\t\tif (branchs.size() == 0)\r\n\t\t{\r\n\t\t\t//Lacos abertos carga x terra (redes radiais)\r\n\t\t\tbranchs.addAll(findBranchs());\t\t\r\n\t\t\r\n\t\t}\r\n\t\treturn branchs; \r\n\t}", "private static String findHighParent_B(BabelSynset bs) throws IOException {\n\t\tdouble weight = 0.0;\n\t\tString id = null;\n\t\tArrayList<String> B_parentsDouble = new ArrayList<String>();\n\t\tList<BabelSynsetIDRelation> edges = bs.getEdges(BabelPointer.ANY_HYPERNYM);\n\t\t\n\t\tfor(BabelSynsetIDRelation b : edges) {\n\t\t\tweight += b.getWeight();\n\t\t}\n\t\tif(weight == 0.0) return edges.get(0).getTarget();\n\t\t\n\t\tweight = 0.0;\n\t\tfor(BabelSynsetIDRelation b : edges) {\n\t\t\tString b_id = b.getTarget();\n\t\t\tif(!B_parentsDouble.contains(b_id) \|\| (B_parentsDouble.contains(b_id) && b.getWeight() != 0.0)) {\n\t\t\t\tdouble temp_weight = b.getWeight();\n\t\t\t\tif(temp_weight > weight && !B_Ancestors.contains(b_id)) {\n\t\t\t\t\tweight = temp_weight;\n\t\t\t\t\tid = b_id;\n\t\t\t\t}\n\t\t\t\tB_parentsDouble.add(b_id);\n\t\t\t}\n\t\t}\n\t\tif(id == null) id = \"bn:00031027n\";\n\t\treturn id;\n\t}", "public CanopyCrum rootFor(CanopyCrum bertCrum) {\n\tpathFor(bertCrum);\n\treturn myCachedRoot;\n/\nudanax-top.st:13143:CanopyCache methodsFor: 'operations'!\n{CanopyCrum} rootFor: bertCrum {CanopyCrum} \n\t\"Return the crum at the top of canopyCrum's canopy.\"\n\tself pathFor: bertCrum.\n\t^myCachedRoot!\n/\n}", "private Node getLobby() {//大廳節點\n\n Node base = new Node();\n\n base.setRenderable(arrowRenderable);\n\n return base;\n\n }", "public String getBoatConstruct() {\n return BOATCONSTRUCT[boatConstructIndex];\n }", "public String getBranchCode() {\n return normalizedBic.substring(BRANCH_CODE_INDEX, BRANCH_CODE_INDEX + BRANCH_CODE_LENGTH);\n }", "public Image getBlast() { return blast;\t}", "public String getBranchName() {\r\n return branchName;\r\n }", "public String getBSB() {\n\t\tthis.setBSB(this.bsb);\n\t\treturn this.bsb;\n\t}", "public java.lang.String getBLH() {\r\n return localBLH;\r\n }", "public TreeBuffer getTreeBuffer() {\r\n\t\treturn _tb;\r\n\t}", "public int getNumberOfBCs() { return numberOfBCs; }", "public String getBranchName() {\n return branchName;\n }", "public String getBranchname() {\n return branchname;\n }", "public String getQueueBand() {\n return _queueBand;\n }", "public int getNbTreeBidCard() {\n\t\treturn cacheTree.getNbTreeBidCard();\n\t}", "public String getBucd() {\r\n return bucd;\r\n }", "public String getBranchName() {\n return branchName;\n }", "public String getNomBloque() {\n return nomBloque;\n }", "public KochLine getLineB(){\n\t\tKochLine lineB= new KochLine(p2,p3);\n\t\treturn lineB;\n\t\t\n\t}", "public Integer getBranchNum() {\r\n return branchNum;\r\n }", "public java.lang.String getBranchDesc() {\n return branchDesc;\n }", "public GenericColorizer getNodeBorderColorizer() {\n return nodeBorderColorizer;\n }", "public Image getBlast2() { return blast2;\t}", "private org.gwtbootstrap3.client.ui.html.Br get_f_Br62() {\n return build_f_Br62();\n }", "public boolean getRB() {\n\t\treturn getRawButton(Right_Bumper);\n\t}", "public BranchGroup getMasterBranch()\r\n {\r\n \treturn mb.branch;\r\n }", "public List<PackerTreeNode<T>> getBranch() {\n final var result = new ArrayList<PackerTreeNode<T>>();\n result.add(this);\n if (parent != null) {\n result.addAll(parent.getBranch());\n }\n return result;\n }", "public Float getBh() {\r\n return bh;\r\n }", "public int getBombs() {\n\t\treturn bombs;\n\t}", "public int getBloco() {\r\n\t\treturn bloco;\r\n\t}", "@Pure\n public QuadTreeNode<D> getUpperLeftChild() {\n QuadTreeNode<D>[] _children = this.children;\n QuadTreeNode<D> _get = null;\n if (_children!=null) {\n _get=_children[1];\n }\n return _get;\n }", "public void breadthFirst() {\n\t\tQueue<Node> queue = new ArrayDeque<>();\n\t\tqueue.add(root);\n\t\twhile(!queue.isEmpty()) {\n\t\t\tif(queue.peek().left!=null)\n\t\t\t\tqueue.add(queue.peek().left);\n\t\t\tif(queue.peek().right!=null)\n\t\t\t\tqueue.add(queue.peek().right);\n\t\t\tSystem.out.println(queue.poll().data);\n\t\t}\n\t}", "public int getBombs() {\n return bombs;\n }", "public List<Branch> getChildBranches() {\n return (childBranches != null) ? childBranches :\n Collections.emptyList();\n }", "public int getBNumber(){\n\t\t return B_number;\n\t}", "public String getBackNeckDepth() {\r\n\t\treturn backNeckDepth;\r\n\t}", "private int calcBF(Node node){\n\t\tint bf;\n\t\tif(node.left == null && node.right == null)\n\t\t\treturn 0;\n\t\tif(node.left == null){\n\t\t\tbf= -node.right.height;\n\t\t\tnode.height= 1+ node.right.height;\n\t\t}\n\t\telse if(node.right == null){\n\t\t\tbf= node.left.height;\n\t\t\tnode.height= 1+ node.left.height;\n\t\t}\n\t\telse {\n\t\t\tbf= node.left.height - node.right.height;\n\t\t\tnode.height = 1+ Math.max(node.left.height , node.right.height);\n\t\t}\n\t\treturn bf;\n\t}", "public double getBrre() {\n return brre;\n }", "public Optional<String> getBranch() {\n return Optional.fromNullable(branch);\n }", "public java.lang.String getBranchName() {\n return branchName;\n }", "public String getB() {\n return b;\n }", "public static UniformCostSearchNode searchBnB(UniformCostSearchNode root){\n PriorityQueue<UniformCostSearchNode> frontier = new PriorityQueue<UniformCostSearchNode>();\n\n // hash set for fast verification of closed nodes\n HashSet<UniformCostSearchNode> closed = new HashSet<UniformCostSearchNode>();\n\n int upperBoundCost = Integer.MAX_VALUE;\n\n frontier.add(root);\n\n while(frontier.size() != 0){\n UniformCostSearchNode current = frontier.remove();\n if(current.isGoalState()){\n System.out.println(\"UCS B&B Nodes explored: \" + closed.size());\n return current;\n }\n\n // implicitly pruning the frontier\n if(current.getCost() >= upperBoundCost){\n // skipping due to bounding\n continue;\n }\n\n closed.add(current);\n\n PriorityQueue<UniformCostSearchNode> toAdd = new PriorityQueue<UniformCostSearchNode>();\n for(UniformCostSearchNode neighbor : current.getNeighbors()){\n toAdd.add(neighbor);\n }\n\n while(toAdd.size() != 0) {\n UniformCostSearchNode neighbor = toAdd.remove();\n if (neighbor.getCost() < upperBoundCost) {\n if (neighbor.isGoalState()) {\n // bounding\n upperBoundCost = neighbor.getCost();\n }\n frontier.add(neighbor);\n }\n }\n }\n\n System.out.println(\"UCS B&B Search failed, nodes explored: \" + closed.size());\n // search failed\n return null;\n }", "public Blackboard getBlackboard() {\r\n return blackboard;\r\n }", "public String getBranchNo() {\r\n return branchNo;\r\n }", "public java.lang.String getBunho() {\n java.lang.Object ref = bunho_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n if (bs.isValidUtf8()) {\n bunho_ = s;\n }\n return s;\n }\n }", "public java.lang.String getBunho() {\n java.lang.Object ref = bunho_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n if (bs.isValidUtf8()) {\n bunho_ = s;\n }\n return s;\n }\n }", "public Node renderCardBack(State.Hero h){\n this.belongsTo = h;\n Rectangle card = new Rectangle();\n card.setHeight(152);\n card.setWidth(106.4);\n ImagePattern p = new ImagePattern(new Image(\"vendor/assets/card_back.png\"));\n card.setFill(p);\n\n return card;\n }", "private String getBWT(){\n Character[] alphabet = wt.root.alphabetMap.keySet().toArray(new Character[0]);\n String bwt = \"\";\n \n for (int i = 0; i < wt.root.bitVector.length+1; i++) {\n for (int j = 0; j < alphabet.length; j++) {\n int rank1 = wt.rank(alphabet[j].charValue(), i);\n int rank2 = wt.rank(alphabet[j].charValue(), i-1);\n if(rank1 != rank2){\n bwt += alphabet[j];\n }\n }\n }\n return bwt;\n }", "String branch();", "public static Node findFloorNode (Node bst){\n\t\tNode startingNode = null;\n\t\tString s = \"\";\n\t\tif(bst != null){\n\t\t\tif(bst.getRight()!=null){\n\t\t\t\tstartingNode = bst.getRight();\n\t\t\t\ts += \" -> \" + startingNode.getName();\n\t\t\t\twhile(startingNode.getLeft()!=null){\n\t\t\t\t\tstartingNode = startingNode.getLeft();\n\t\t\t\t\ts += \" -> \" + startingNode.getName();\n\t\t\t\t}\n\t\t\t}\n\t\t}\n\t\tSystem.out.println(s);\n\n\t\treturn startingNode;\n\t}", "public int[] getBusesForBranch(int br)\n\t{\n\t\tint endq = br*2;\n\t\tint endp = endq+1;\n\t\treturn new int[] {_far[endp],_far[endq]};\n\t}", "public ByteBuffer buffer() { return bb; }", "private Board getBoard() {\n return gameStatus.getBoard();\n }", "public BigDecimal getBRANCH_CODE() {\r\n return BRANCH_CODE;\r\n }", "public BigDecimal getBRANCH_CODE() {\r\n return BRANCH_CODE;\r\n }", "public BigDecimal getBRANCH_CODE() {\r\n return BRANCH_CODE;\r\n }" ]	[ "0.6359678", "0.5991046", "0.5958104", "0.59393436", "0.5914464", "0.58013856", "0.57474643", "0.56598854", "0.56328607", "0.56122816", "0.56118625", "0.55733836", "0.5545549", "0.5544405", "0.55441797", "0.55093384", "0.54700065", "0.54700065", "0.54700065", "0.54534465", "0.54534465", "0.543746", "0.5433065", "0.5429285", "0.54288393", "0.54288393", "0.54288393", "0.5427932", "0.5402538", "0.5402249", "0.5399447", "0.5391706", "0.53790224", "0.5359025", "0.5358007", "0.53568244", "0.53496975", "0.5327088", "0.5312429", "0.5311112", "0.53105426", "0.530743", "0.5279893", "0.5276676", "0.527145", "0.5268341", "0.5266293", "0.52636355", "0.52634186", "0.52508116", "0.524857", "0.5243354", "0.5239093", "0.5235245", "0.52290255", "0.5227917", "0.5226114", "0.5225902", "0.5220344", "0.5219642", "0.5217039", "0.5207804", "0.52038056", "0.5197713", "0.5190379", "0.51872647", "0.5186728", "0.51821387", "0.5181302", "0.5175098", "0.51730984", "0.517047", "0.51632285", "0.51607424", "0.51601684", "0.5146985", "0.51404697", "0.51400316", "0.51375467", "0.5129123", "0.5125624", "0.511697", "0.510595", "0.510497", "0.5100111", "0.5099796", "0.50967246", "0.5093159", "0.50922287", "0.50922287", "0.50912464", "0.5089555", "0.50867563", "0.5084792", "0.5083632", "0.5081992", "0.5080651", "0.50779325", "0.50779325", "0.50779325" ]	0.51264167	80
Get the Color Swatch Price	public synchronized List<WebElement> colorSwatchPrice() throws Exception { return utils.findElementsByLocator(driver, "PDP_ColorSwatchPrice", "\| PDP:Color Swatch Price not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public double getTwoColourCost() {\n return 0.16;\n }", "public float c() {\n if (this.f3465c) {\n return BitmapDescriptorFactory.HUE_RED;\n }\n com.airbnb.lottie.g.a g2 = g();\n if (g2.d()) {\n return BitmapDescriptorFactory.HUE_RED;\n }\n return (this.f3467e - g2.b()) / (g2.c() - g2.b());\n }", "int getBlue(){\n return getPercentageValue(\"blue\");\n }", "public String getBSCA_PrintPrice2();", "String getColour();", "int getShade(){\n return getPercentageValue(\"shade\");\n }", "public String getColor() {\n\t\t\r\n\t final String uri = colorsBeUrl+\"/colors_be/getColor\";\r\n\t \r\n\t //TODO: Autowire the RestTemplate in all the examples\r\n\t RestTemplate restTemplate = new RestTemplate();\r\n\t \r\n\t String result = restTemplate.getForObject(uri, String.class);\r\n\t System.out.println(result);\r\n\t return result;\r\n\t \r\n\t}", "TickerPrice getPrice(String symbol);", "double getPrice();", "double getPrice();", "double getPrice();", "public void getPaintPrice(){\n System.out.println(\"Enter the price per gallon of paint: \");\n this.pricePerGallon = INPUT.nextDouble();\n }", "int getColour();", "public ArmCurrency getPrice() {\n return (getPrice(true));\n }", "@Override\n public int getSprintHeat() {\n return engine.getSprintHeat();\n }", "private int getStockChangeColor (String stockChange){\n float change = Float.parseFloat(stockChange);\n if (change >= 0){return Color.GREEN;}\n\n return Color.RED;\n }", "int getRed(){\n return getPercentageValue(\"red\");\n }", "public static SbColor\ngetSpecular(SoState state) \n{ \n SoLazyElement elem = getInstance(state);\n if(state.isCacheOpen()) elem.registerGetDependence(state, masks.SPECULAR_MASK.getValue());\n //return curElt.ivState.specularColor;\n\treturn elem.coinstate.specular;\n}", "String getPrice();", "public Double getProductPrice(String product){\n return services.get(product);\n }", "int getGreen(){\n return getPercentageValue(\"green\");\n }", "public Double getPrice();", "String getColour(int winningNumber);", "public String getColor(){\n return this._color;\n }", "public void getPrice(){\n System.out.println(\"Price: $\" + price); \n }", "public Color getColor() { return color.get(); }", "public double getPrice();", "public Color getDevColor() {\r\n\t\t// System.out.println(\"Getting \" + n);\r\n\t\treturn (value.getDevColor());\r\n\t}", "public NM getProductServiceCostFactor() { \r\n\t\tNM retVal = this.getTypedField(24, 0);\r\n\t\treturn retVal;\r\n }", "public String getColor(){\r\n return color;\r\n }", "int getSatOff(){\n return getPercentageValue(\"satOff\");\n }", "public int getHslColor()\n {\n return _hslColor;\n }", "public String getColor(){\n return this.color;\n }", "public void getPrice() {\n\t System.out.println(\"Price: $\" + price);\n }", "public NM getPsl24_ProductServiceCostFactor() { \r\n\t\tNM retVal = this.getTypedField(24, 0);\r\n\t\treturn retVal;\r\n }", "public double getPotatoesPrice();", "public int calcMarketPrice() {\r\n player = Context.getInstance().getPlayer();\r\n //Random r = new Random();\r\n int techLevel = player.getCurrentPlanet().getTechLevel();\r\n Event event = player.getCurrentPlanet().getEvent();\r\n Resource resource = player.getCurrentPlanet().getResource();\r\n double price = basePrice;\r\n price += (ipl * (techLevel - mtlb)) + variance;\r\n if (player.getCurrentPlanet().getTechLevel() == this.ttp) {\r\n price = Context.TECH_PRICE_MULT;\r\n }\r\n if (event.equals(this.ie)) {\r\n price = event.getUpMult();\r\n } else if (event.equals(this.de)) {\r\n price = event.getDownMult();\r\n }\r\n if (resource.equals(this.cr)) {\r\n price = resource.getDownMult();\r\n } else if (resource.equals(this.er)) {\r\n price = resource.getUpMult();\r\n }\r\n price = (((double) player.getTrader() / DFIFTY) + 1.0);\r\n int finalPrice = (int) price;\r\n if (player.getTrader() > 0) {\r\n double discountedPrice = price;\r\n double trader = (double) player.getTrader();\r\n discountedPrice -= (price) * (4.0 * trader / PERCENT);\r\n return (int) discountedPrice;\r\n } else {\r\n return finalPrice;\r\n }\r\n }", "public String getColor()\n {\n return this.color;\n }", "@Override\n\tpublic double getPrice() {\n\t\t\n\t\treturn 2000;\n\t}", "public int getSellPrice(){\n\t\treturn (int)(price * 0.6);\n\t}", "int getSat(){\n return getPercentageValue(\"sat\");\n }", "public PieceColor getColor(){\r\n\t\treturn this.color;\r\n\t}", "public String getColor() { \n return color; \n }", "public RGBColor getColor(){\r\n return this._color;\r\n }", "public double price() {\n return price;\n }", "public RMColor getColor()\n {\n return getStyle().getColor();\n }", "String getColor();", "public int getColor(){\r\n\t\treturn color;\r\n\t}", "public float saturation() {\n int r = (color >> 16) & 0xFF;\n int g = (color >> 8) & 0xFF;\n int b = color & 0xFF;\n\n\n int V = Math.max(b, Math.max(r, g));\n int temp = Math.min(b, Math.min(r, g));\n\n float S;\n\n if (V == temp) {\n S = 0;\n } else {\n S = (V - temp) / (float) V;\n }\n\n return S;\n }", "public BigDecimal getPriceStd();", "public int getColor(){\n\t\treturn color;\n\t}", "public int getColor(){\n\t\treturn color;\n\t}", "@Override\n public double getPrice(){\n \n return currentPrice; \n }", "public Color getColor() { return color; }", "public Color getColor()\n {\n return color;\n }", "public int getColor();", "public int getColor();", "int getPrice();", "public String getColor()\n {\n return color;\n }", "public String getColor()\n {\n return color;\n }", "double computePrintingCost(double price){\n //TODO calculate price and return it\n return price * printer.countCharactersPrinted();\n }", "@Override\n\tpublic float getPrice() {\n\t\treturn 70.0f;\n\t}", "public abstract int getColour();", "long getPrice();", "public short getColor() {\n\t\treturn this.color;\n\t}", "public Colour getColour();", "public GameColor getColor();", "public double getPrice(){\r\n\t\ttry {\r\n\t\t\treturn this.workerobj.getDouble(WorkerController.PRICE);\r\n\t\t} catch (JSONException e) {\r\n\t\t\treturn -1;\r\n\t\t}\r\n\t}", "public int getColor() {\n return this.color;\n }", "private int getCloseColor(int[] prgb) {\n \t\t\tfloat[] phsv = { 0, 0, 0 };\n \t\t\trgbToHsv(prgb[0], prgb[1], prgb[2], phsv);\n \t\t\t\n \t\t\tfloat hue = phsv[0];\n \t\t\tfloat val = phsv[2] * 100 / 256;\n \n \t\t\tint closest = -1;\n \n \t\t\tfinal int white = 15;\n \t\t\tfinal int black = 1;\n \t\t\tfinal int grey = 14;\n \t\t\t\n \t\t\tif (phsv[1] < (hue >= 30 && hue < 75 ? 0.66f : 0.33f)) {\n \t\t\t\tif (val >= 70) {\n \t\t\t\t\tclosest = white;\n \t\t\t\t} else if (val >= 10) {\n \t\t\t\t\t// dithering will take care of the rest\n \t\t\t\t\tclosest = grey;\n \t\t\t\t} else {\n \t\t\t\t\tclosest = black;\n \t\t\t\t}\n \t\t\t}\n \t\t\telse {\n \t\t\t\tclosest = getClosestColorByDistance(palette, firstColor, 16, prgb, 12);\n \t\t\t\t\n \t\t\t\t// see how the color matches\n \t\t\t\tif (closest == black) {\n \t\t\t\t\tif (phsv[1] > 0.9f) {\n \t\t\t\t\t\tif ((hue >= 75 && hue < 140) && (val >= 5 && val <= 33)) {\n \t\t\t\t\t\t\tclosest = 12;\n \t\t\t\t\t\t}\n \t\t\t\t\t}\n \t\t\t\t}\n \t\t\t\t/else {\n \t\t\t\t\tint rigid = rigidMatch(phsv, hue, val);\n \t\t\t\t\tif (phsv[1] < 0.5f && (rigid == 1 \|\| rigid == 14 \|\| rigid == 15)) {\n \t\t\t\t\t\tclosest = rigid;\n \t\t\t\t\t}\n \t\t\t\t}/\n \t\t\t}\n \t\t\t\n \t\t\t//closest = rigidMatch(phsv, hue, val);\n \t\t\t\n \t\t\treturn closest;\n \t\t}", "public double getUtility(double consumption);", "public Color getColor()\n { \n return color;\n }", "public int getColorValue() {\r\n\t\treturn color;\r\n\t}", "@Override\n public double getPrice() {\n return components.stream().mapToDouble(Component::getPrice).sum();\n }", "public String getColor() {\n return this.color;\n }", "public Color getColor()\n {\n return color;\n }", "public void testColorSensing()\n {\n // SmartDashboard.putData(\"Color Wheel Spinning\", new ControlPanelSpinFour());\n }", "public String getColor(){\n\t\treturn color;\n\t}", "public String getColor() {\n\t\treturn \"Elcolor del vehiculo es: \"+color; \n\t }", "public float getBlue() {\n return blue;\n }", "public double getPrice(){\n\t\t\n\t\treturn price;\n\t}", "public Piece.color getColor() { return color; }", "public double getPrice(){\r\n\t\treturn price;\r\n\t}", "public double getPrice(){\n\t\t\treturn price;\n\t\t}", "public String getProductColorName() {\r\n return productColorName;\r\n }", "float getBackgroundPower();", "@Override\n public double getPrice() {\n return 2.5;\n }", "public double getPricePerSquareFoot(){\nreturn pricePerSquareFoot;\n}", "public String getProductKindlePrice() {\n\t\tString kindleWholePrice = driver\n\t\t\t\t.findElements(By.cssSelector(getLocator(search_result_page_prod_paper_price_whole))).get(1).getText();\n\t\tString kindleCurrency = driver\n\t\t\t\t.findElements(By.cssSelector(getLocator(search_result_page_prod_paper_price_currency))).get(1)\n\t\t\t\t.getText();\n\t\tString kindleFracPrice = driver\n\t\t\t\t.findElements(By.cssSelector(getLocator(search_result_page_prod_paper_price_fractional))).get(1)\n\t\t\t\t.getText();\n\t\tString kindlePrice = kindleCurrency + kindleWholePrice + \".\" + kindleFracPrice;\n\t\treturn kindlePrice;\n\n\t}", "public int getColor() {\n return color;\n }", "public double getPrice(){\n\t\treturn price;\n\t}", "public Color getColor() {\n return this.color;\n }", "public double getPrice() {\n return price_;\n }", "protected float getPrice() {\n\t\t\treturn price;\n\t\t}", "public Color getColor()\n {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "@Override\r\n\tpublic double getPrice() {\n\t\treturn 60000;\r\n\t}", "@Override\r\n\tpublic double getPrice() {\n\t\treturn price;\r\n\t}", "@Override\n\tpublic double getPrice() {\n\t\treturn 10;\n\t}" ]	[ "0.6042031", "0.5917782", "0.58300745", "0.58165675", "0.581139", "0.5760618", "0.5739451", "0.57197505", "0.5719361", "0.5719361", "0.5719361", "0.5697071", "0.5692471", "0.5671749", "0.56488323", "0.5632343", "0.5625118", "0.55958974", "0.5566587", "0.55184525", "0.549792", "0.54812014", "0.54787725", "0.5477897", "0.54747665", "0.54739743", "0.54523945", "0.5452283", "0.54394954", "0.5425857", "0.541476", "0.54062945", "0.53963757", "0.5392883", "0.53886676", "0.5387979", "0.5387693", "0.5385113", "0.538507", "0.5384543", "0.538378", "0.53834534", "0.5382322", "0.5371827", "0.53706044", "0.5367773", "0.5359499", "0.5358831", "0.53580594", "0.5350322", "0.53500766", "0.53500766", "0.53447235", "0.5338653", "0.5338549", "0.5336831", "0.5336831", "0.53368217", "0.53350055", "0.53350055", "0.5334637", "0.53340816", "0.53334093", "0.53291345", "0.532778", "0.5326715", "0.5325458", "0.53233725", "0.5318476", "0.53174484", "0.5316861", "0.5316591", "0.5306958", "0.530139", "0.5300118", "0.5299484", "0.52982956", "0.529777", "0.52953696", "0.5295001", "0.52935994", "0.5293333", "0.5292753", "0.5289842", "0.52897465", "0.52895457", "0.52865857", "0.52860075", "0.5284126", "0.5279465", "0.52791494", "0.52758604", "0.5274191", "0.5272373", "0.52712303", "0.52712303", "0.52712303", "0.52678967", "0.5267315", "0.5265971" ]	0.66916066	0
Get the Marketing message	public synchronized WebElement pdpMarketingMsg() throws Exception { return utils.findElementByLocator(driver, "PDP_MarketingMsg", "\| PDP: Marketing Message div not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "private String getMessage() {\n\t\tSharedPreferences prefs = PreferenceManager.getDefaultSharedPreferences(this);\r\n\t\t\r\n\t\tboolean addSign = prefs.getBoolean(\"addsign\", true);\r\n\t\t\r\n\t\ttry {\r\n\t\t\r\n\t\tdefMessage = \"I am busy right now and will call you latter.\";\r\n\t\t\r\n\t\tfinalMessage = prefs.getString(\"message\", defMessage);\r\n\t\tif(finalMessage.equals(\"\"))\r\n\t\t\tfinalMessage = defMessage;\r\n\t\t} catch (RuntimeException e) {\r\n\t\t\t// TODO: handle exception\r\n\t\t\tfinalMessage = defMessage;\r\n\t\t}\r\n\t\t\r\n\t\tif(addSign)\r\n\t\t\tfinalMessage += \"\\nSent using Calls and SMS Blocker for android.\\nDownload from: https://play.google.com/store/apps/details?id=com.atiffarrukh.callandsmsblocker\";\r\n\t\treturn finalMessage;\r\n\t}", "public String getPersonalMessage()\n \t{\n \t\treturn personalMessage;\n \t}", "public String getMessage()\n\t{\n\t\tif(response.containsKey(\"MESSAGE\")) {\n\t\t\treturn response.get(\"MESSAGE\");\n\t\t} else {\n\t\t\treturn null;\n\t\t}\n\t}", "java.lang.String getTheMessage();", "public String getMessageText();", "public String getNotificationMessage() {\n if (this.mInvitation != null) return this.mInvitation.getSenderUsername() + \" wants to be your buddy\";\n else if (this.mChatMessageFragment != null) return this.mChatMessageFragment.getMessage();\n else return null;\n }", "public String getEmailMessage(Agent agent);", "public String getMessageText() {\n return messageText;\n }", "public String getMessageText() {\n return message_text;\n }", "public String getMessage(){\n return(message);\n }", "public String getTweetMessage( )\n {\n return _strTweetMessage;\n }", "String getOtherAlertMailBody( );", "@GET\n\t@Produces(\"text/plain\")\n\tpublic String getMessage() {\n\t\treturn MessageConstants.GET_MESSAGE;\n\t}", "java.lang.String getUserMessage();", "public java.lang.String getMESSAGE() {\n return MESSAGE;\n }", "public String getMessage() {\r\n return getPayload().optString(\"message\");\r\n }", "public String getMessage(){\r\n return message;\r\n }", "public String getMessage(){\r\n return message;\r\n }", "public String getMessage(){\n return this.message;\n }", "public String getMessage()\n {\n return String.format(\"MessageType=%s,TransactionId=%s,TerminalId=%s,MerchantId=%s,FingerData=%s,CustomerId=%s,IdData=%s, CustomerData=%s\", this.messageType, this.transactionId, this.terminalId, this.merchantId, this.fingerData, this.customerId, this.idData, this.customerData);\n }", "private String getPlayerMail() {\n EditText mail = (EditText) findViewById(R.id.mail_edittext_view);\n return mail.getText().toString();\n }", "Object getMessage();", "public Object getMessage() {\n return m_message;\n }", "public String getMessage(){\n return message;\n }", "public String getMessage()\r\n {\r\n return myMessage;\r\n }", "public Message getMessage(){\n return message;\n }", "String getPlayerMail() {\r\n EditText editText = (EditText) findViewById(R.id.mail_edit_text_view);\r\n return editText.getText().toString();\r\n }", "public String getMessage(){\n\t\treturn this.message;\n\t}", "public java.lang.String getMessageText() {\n return messageText;\n }", "public Optional<String> getMessage() {\n return _message;\n }", "public String getMessage() {\n return getMessage(this.key, (Object[]) null, this.key, (Locale) null);\n }", "public String messageToString(){\n String stringMessage = \"Message:\\n\" + text + \"\\nFrom User: \" + fromUser.toNameAndEmailString();\n if(toGroup != null && !emergency) {\n stringMessage = \"Message:\\n\" + text + \"\\nFrom User: \" + fromUser.toNameAndEmailString() + \"\\nTo Group:\\n\" + toGroup.groupToListString();\n\n }\n else if(emergency){\n stringMessage =\"EMERGENCY!!!\\n\" + \"Message:\\n\" + text + \"\\nFrom User: \" + fromUser.toNameAndEmailString() + \"\\n\";\n }\n\n\n return stringMessage;\n }", "public String getMessage(){\n return saisieMessage.getText();\n }", "public String getMessage(){\r\n\t\treturn message;\r\n\t}", "public OSInAppMessage getCurrentDisplayedInAppMessage() {\n return null;\n }", "private void retrieveDeveloperMessage(Context context) {\n // need to build full parameter list for the URL.\n BufferedReader reader = null;\n try {\n String paramString = AdRequester.buildParamString(context, null, null);\n\n StringBuilder sb = new StringBuilder();\n sb.append(ADMOB_EMULATOR_NOTICE);\n sb.append(\"?\");\n sb.append(paramString);\n\n URL devMessageURL = new URL(sb.toString());\n\n URLConnection connection = devMessageURL.openConnection();\n\n connection.connect();\n // now get the body as JSON.\n StringBuilder content = new StringBuilder();\n reader = new BufferedReader(new InputStreamReader(connection.getInputStream()));\n String line;\n while ((line = reader.readLine()) != null) {\n content.append(line);\n }\n JSONObject jsonObject = new JSONObject(new JSONTokener(content.toString()));\n\n // get the data key.\n String message = jsonObject.getString(\"data\");\n if (message != null) {\n Log.e(AdManager.LOG, message);\n }\n } catch (Exception e) {\n // Ignore.\n } finally {\n try {\n if (reader != null) {\n reader.close();\n }\n } catch (Exception e) {\n // deliberately empty\n }\n }\n }", "java.lang.String getMessageId();", "public String getMessage()\n {\n return fMessage;\n }", "public String getMessageString() {\n return this.message_string;\n }", "protected String getMessage() {\n if (allMessage == null)\n return allMessage;\n return allMessage.trim();\n }", "public String getSmtpMessage() {\n return smtpMessage;\n }", "public String getMessage() { return message; }", "com.polytech.spik.protocol.SpikMessages.Conversation getConversation();", "Message getCurrentMessage();", "public nl.webservices.www.soap.DNBMarketing getMarketing() {\n return marketing;\n }", "String getFirstAlertMailBody( );", "public String getMessage()\r\n {\r\n return message;\r\n }", "public String getMessage()\r\n {\r\n return message;\r\n }", "public String getMessage() {\n \t\treturn message;\n \t}", "java.lang.String getMessageInfoID();", "public String getMessage() {\n\t\tString toReturn = message;\n\t\tmessage=\"\";//delete the message\n\t\treturn toReturn;\n\t}", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "java.lang.String getMessage();", "public String getMessageLink() {\n return messageLink;\n }", "public String getMessageId() {\n Field field = obtainField(FieldName.MESSAGE_ID);\n if (field == null)\n return null;\n\n return field.getBody();\n }", "protected String getCenterMessage() {\n\t\treturn getLeader().getName() + \" leads\";\n\t}", "public String getMessageText() {\r\n\t\treturn txtAreaWriteMessage.getText();\r\n\t}", "@VisibleForTesting\n public InAppMessage getCurrentInAppMessage() {\n return this.inAppMessage;\n }", "public String getMessage() {\r\n return message;\r\n }", "public String getMessage() {\r\n return message;\r\n }", "public String getMessage() {\r\n\t\treturn this.message;\r\n\t}", "public String getMessage() {\n return this.message;\n }", "public String getMessage() {\n return this.message;\n }", "public String getMessage() {\n return this.message;\n }", "public String getMessage() {\n return this.message;\n }", "public String getMessage() {\n return this.message;\n }", "public String getMessage() {\n return this.message;\n }", "public String getMessage() {\n return this.message;\n }", "public java.lang.String getMessage()\r\n {\r\n return message;\r\n }", "protected ParseObject createMessage() {\n //format single variables appropriatly. most cases the field is an array\n ArrayList<ParseUser> nextDrinker = new ArrayList<ParseUser>();\n nextDrinker.add(mNextDrinker);\n ArrayList<String> groupName = new ArrayList<String>();\n groupName.add(mGroupName);\n\n ParseObject message = new ParseObject(ParseConstants.CLASS_MESSAGES);\n message.put(ParseConstants.KEY_SENDER_ID, ParseUser.getCurrentUser().getObjectId());\n message.put(ParseConstants.KEY_SENDER, ParseUser.getCurrentUser());\n message.put(ParseConstants.KEY_GROUP_ID, mGroupId);\n message.put(ParseConstants.KEY_GROUP_NAME, groupName);\n message.put(ParseConstants.KEY_SENDER_NAME, ParseUser.getCurrentUser().getUsername());\n message.put(ParseConstants.KEY_RECIPIENT_IDS, nextDrinker);\n message.put(ParseConstants.KEY_MESSAGE_TYPE, ParseConstants.TYPE_DRINK_REQUEST);\n\n return message;\n }", "public String getMessage () {\n return message;\n }", "public String getMessage() {\r\n\t\treturn m_message;\r\n\t}", "public String getMessage()\r\n\t{\r\n\t\treturn message;\r\n\t}", "String getMessage();", "String getMessage();", "String getMessage();", "public String getMessage()\n\t{\n\t\treturn this.message;\n\t}", "public String getMessage() {\n\t\treturn this.message;\n\t}", "public String getMessage() {\n\t\treturn this.message;\n\t}", "public String getMessage() {\r\n\treturn messageSB.toString();\r\n }", "String getExpirationtMailBody( );", "public String getMessage()\n {\n return message;\n }", "public String getMessage()\n {\n return message;\n }", "public String get() {\n Validate.notNull(this.translatedMessage, \"Translations are not initialised\");\n return this.translatedMessage;\n }", "com.polytech.spik.protocol.SpikMessages.Sms getSms();" ]	[ "0.6859193", "0.66359127", "0.6411596", "0.64053494", "0.6404583", "0.63421273", "0.6228758", "0.62197876", "0.6206954", "0.6189104", "0.61378115", "0.6119038", "0.60692227", "0.60691446", "0.6060687", "0.60484445", "0.6022254", "0.6022254", "0.5988038", "0.59860444", "0.5971661", "0.595116", "0.5948873", "0.5940213", "0.5936211", "0.5935627", "0.5934414", "0.5929698", "0.5925472", "0.59048206", "0.5902559", "0.5900232", "0.5889933", "0.58855754", "0.5860032", "0.5858732", "0.58504945", "0.58445436", "0.58403766", "0.583892", "0.5820714", "0.581217", "0.58111346", "0.58109856", "0.5808431", "0.58053195", "0.58014935", "0.58014935", "0.5786263", "0.5782564", "0.5779646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.577646", "0.5763004", "0.57570493", "0.5753142", "0.57381433", "0.5729347", "0.5727495", "0.5727495", "0.572741", "0.5726371", "0.5726371", "0.5726371", "0.5726371", "0.5726371", "0.5726371", "0.5726371", "0.57230806", "0.57186115", "0.5714013", "0.57125956", "0.5709752", "0.5707356", "0.5707356", "0.5707356", "0.57065964", "0.5705399", "0.5705399", "0.5705036", "0.57023805", "0.5698837", "0.5698837", "0.56919557", "0.5686947" ]	0.64864373	2
Get the Content(Product Name) of the Shopping bag page	public synchronized WebElement shoppingBagProductName() throws Exception { return utils.findElementByLocator(driver, "PDP_ShoppingBagProduct", "\| PDP:Content(Product Name) of the Shopping bag page"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public String getCartDetailonProductDetailPage()\n\t{\n\t\twaitForVisibility(cartDetailonProductDetailPage);\n\t\treturn cartDetailonProductDetailPage.getText();\n\t}", "public String getfirstVolumeDiscountonProductDetailPage()\n\t{\n\t\twaitForVisibility(firstVolumeDiscountonProductDetailPage);\n\t\treturn firstVolumeDiscountonProductDetailPage.getText();\n\t}", "@Override\n\tpublic java.lang.String getTitle() {\n\t\treturn _buySellProducts.getTitle();\n\t}", "String getTheirProductId();", "String getProduct();", "java.lang.String getProductDescription();", "public String getsecondVolumeDiscountonProductDetailPage()\n\t{\n\t\twaitForVisibility(secondVolumeDiscountonProductDetailPage);\n\t\treturn secondVolumeDiscountonProductDetailPage.getText();\n\t}", "@Override\n\tpublic String getName() {\n\t\treturn product.getName();\n\t}", "public String getName(){\n\t\treturn Name; // Return the product's name\n\t}", "public String getProductName() {\r\n return productName;\r\n }", "public synchronized WebElement lnk_productNameMiniBag() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_MiniBag_productLNK\", \"Mini Bag\| Product name\");\n\t}", "public String getProdDetailsName(){\n String prodName = productDetailsName.toString();\n return prodName;\n }", "public String getProductName() {\n return productName;\n }", "public String getProductName() {\n return productName;\n }", "public String getProductName() {\n return productName;\n }", "public String getCartItem() {\n\t\tMobileElement el = driver.findElement(By.xpath(\"//android.view.View[@resource-id='\" + cart + \"']\"));\n\t\tList<MobileElement> els = el.findElements(By.className(\"android.view.View\"));\n\t\treturn els.get(3).getText();\n\t}", "public java.lang.String getProductName () {\r\n\t\treturn productName;\r\n\t}", "public String getProductName(){\n return productRelation.getProductName();\n }", "public java.lang.String getProductName() {\n return productName;\n }", "public java.lang.String getProductInfo () {\n\t\treturn productInfo;\n\t}", "public String getProductLabel(){\n return productLabel.getText().trim();\n }", "public String getProductDescription() {\r\n/* 221 / return this._productDescription;\r\n/ / }", "public String getNameProd() {\n\t\treturn nameProd;\n\t}", "public String getItemDescription(String itemName) {\n return driver.findElement(By.xpath(\"//div[text()='\" + itemName + \"']/../../div\")).getText();\n }", "public String getWantedProductHeader()throws Exception{\r\n SearchPageFactory pageFactory = new SearchPageFactory(driver);\r\n String listedItemHeader = getElementText(pageFactory.listedItemHeader);\r\n return listedItemHeader;\r\n }", "public java.lang.String getProduct() {\n return product;\n }", "public String getProdName() {\n\t\treturn prodName;\n\t}", "public String getProductName() {\r\n\t\treturn productName;\r\n\t}", "public String getProductPackDesc() {\n return (String)getAttributeInternal(PRODUCTPACKDESC);\n }", "public String getProduct()\n {\n return product;\n }", "public String searchResult(){\n return getText(first_product_title);\n }", "public String extractHomeView() {\n return (new StringBuilder()\n .append(\"<a href=\\\"/products/details/\" + this.getId() + \"\\\" class=\\\"col-md-2\\\">\")\n .append(\"<div class=\\\"product p-1 chushka-bg-color rounded-top rounded-bottom\\\">\")\n .append(\"<h5 class=\\\"text-center mt-3\\\">\" + this.getName() + \"</h5>\")\n .append(\"<hr class=\\\"hr-1 bg-white\\\"/>\")\n .append(\"<p class=\\\"text-white text-center\\\">\")\n .append(this.getDescription())\n .append(\"</p>\")\n .append(\"<hr class=\\\"hr-1 bg-white\\\"/>\")\n .append(\"<h6 class=\\\"text-center text-white mb-3\\\">$\" + this.getPrice() + \"</h6>\")\n .append(\"</div>\")\n .append(\"</a>\")\n ).toString();\n }", "public String getProduct() {\r\n return this.product;\r\n }", "private RLabel getProductLabel() {\n if (productLabel == null) {\n productLabel = new RLabel();\n productLabel.setText(\"<%= ivy.cms.co(\\\"/Dialogs/about/product\\\") %>\");\n productLabel.setStyleProperties(\"{/insetsTop \\\"2\\\"}\");\n productLabel.setName(\"productLabel\");\n }\n return productLabel;\n }", "public String getProductSummary() {\r\n\t\tif (getProducts() != null) {\r\n\t\t\tif (getProducts().size() == 1) {\r\n\t\t\t\treturn getProducts().get(0);\r\n\t\t\t}\r\n\t\t\tif (getProducts().size() > 1) {\r\n\t\t\t\t\r\n\t\t\t\tStringBuilder sb = new StringBuilder();\r\n\t\t\t\tsb.append(getProducts().get(0))\r\n\t\t\t\t .append( \" (plus \")\r\n\t\t\t\t .append(getProducts().size()-1)\r\n\t\t\t\t .append( \" more)\");\r\n\t\t\t\treturn sb.toString();\r\n\t\t\t}\t\r\n\t\t}\r\n\r\n\t\treturn \"No products\";\r\n\t}", "public String getNameOfArticle(Document document) {\n\t\tString nameItem = \"\";\n\t\tElements h1Elements = document.select(\"h1\");\n\t\tfor (Element h1Element : h1Elements) {\n\t\t\t// Get the name if the item\n\t\t\tif (h1Element.attr(\"itemprop\").equals(\"name\")) {\n\t\t\t\t// get the inner text of the html tag if we are on the item name \n\t\t\t\treturn nameItem = h1Element.text(); \n\t\t\t}\n\t\t}\n\t\treturn nameItem;\n\t}", "public String getProduct() {\n return this.product;\n }", "public String getProductName() {\n\t\treturn productName;\n\t}", "public String getGoodsContent() {\n return goodsContent;\n }", "String getProductId();", "public String product() {\n return this.product;\n }", "@RequestMapping(method = RequestMethod.GET, value = \"/\", produces = {MediaType.TEXT_HTML_VALUE})\n public String handleProductDetailPage(HttpServletRequest request, HttpServletResponse response) throws ContentProviderException {\n\n // TODO: How to handle variants ??\n\n // Path pattern for product detail pages: /p/[SEO name]/[second id]\n final String requestPath = webRequestContext.getRequestPath().replaceFirst(\"/p\", \"\");\n final String[] pathTokens = requestPath.split(\"/\");\n final String productSeoId;\n final String productId;\n if ( pathTokens.length == 3 ) {\n productSeoId = pathTokens[1];\n productId = pathTokens[2];\n }\n else if ( pathTokens.length == 2 ) {\n productSeoId = null;\n productId = pathTokens[1];\n }\n else {\n throw new PageNotFoundException(\"Invalid product detail URL.\");\n }\n\n //final Category category = fredhopperService.getCategoryByPath(requestPath);\n //final List<FacetParameter> facets = fredhopperService.getFacetParametersFromRequestMap(request.getParameterMap());\n ProductDetailResult detailResult = this.detailService.getDetail(productId);\n\n if ( detailResult != null && detailResult.getProductDetail() != null ) {\n\n request.setAttribute(PRODUCT_ID, productId);\n request.setAttribute(PRODUCT, detailResult.getProductDetail());\n request.setAttribute(RESULT, detailResult);\n request.setAttribute(URL_PREFIX, \"/c\");\n final PageModel templatePage = resolveTemplatePage(request, this.getSearchPath(productSeoId, productId));\n templatePage.setTitle(detailResult.getProductDetail().getName());\n\n final MvcData mvcData = templatePage.getMvcData();\n return this.viewResolver.resolveView(mvcData, \"Page\", request);\n }\n throw new PageNotFoundException(\"Product detail page not found.\");\n }", "java.lang.String getProductCode();", "public String getProduct() {\n return product;\n }", "public String getProduct() {\n return product;\n }", "java.lang.String getBuyDescribe();", "public String getProductPack() {\n return (String)getAttributeInternal(PRODUCTPACK);\n }", "String getPageName();", "public String getShoppingCartItemNumber(){\n WebDriverWait wait = new WebDriverWait(getWebDriver(), 10);\n WebElement shoppingCart = wait.until(ExpectedConditions.presenceOfElementLocated(By.id(\"gh-cart-n\")));\n return shoppingCart.getText();\n }", "String getNombreProducto();", "public String getDetailsData()\n {\n WebElement element = driver.findElement(By.xpath(\"//app-hero-detail[1]/div[1]/h2[1]\"));\n return element.getText();\n }", "@Override\n public String getItemName() {\n\treturn \"Goblin Sword\";\n }", "@Override\n public String getProductName() {\n return ProductName.REFLECTIONS_II_BOOSTER_PACK;\n }", "@Override\n\tpublic java.lang.String getDescription() {\n\t\treturn _buySellProducts.getDescription();\n\t}", "protected String extractProductName(String record) {\n var payload = new JSONObject(record);\n if (payload.has(\"payload\")) {\n payload = payload.getJSONObject(\"payload\");\n }\n JSONArray array1 = payload.getJSONArray(\"files\");\n logger.info(\"Product name:\");\n for (int j = 0; j < array1.length(); j++) {\n JSONObject obj2 = array1.getJSONObject(j);\n //System.out.println(obj2);\n if (obj2.has(\"productName\")){\n String productName = obj2.getString(\"productName\");\n System.out.println(productName);\n return productName;\n }\n }\n System.out.println(\"Product name not retrieved.\");\n return null;\n }", "String currentProduct() {\n if (PageFlowContext.getPolicy() != null && PageFlowContext.getPolicy().getProductTypeId() != null) {\n return PageFlowContext.getPolicy().getProductTypeId();\n } else {\n return \"\";\n }\n }", "@Override\n\tpublic String getServletInfo()\n\t{\n\t\treturn \"C.R.U.D. Products\";\n\t}", "java.lang.String getHotelText();", "public String getProductOwner();", "public String getItem()\n {\n // put your code here\n return \"This item weighs: \" + weight + \"\\n\" + description + \"\\n\";\n }", "public synchronized WebElement txt_ProductName() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductName\", \"\| PDP:Product Name not present\");\n\t}", "public StringBuffer getSkuDetail() {\n List<CheckoutCommerceItemBean> commerceItems;\n productsInfo.append(\"\");\n if (null != reviewOrderBean) {\n if (null != reviewOrderBean.getComponent()) {\n if (null != reviewOrderBean.getComponent()\n .getPaymentDetails()) {\n if (null != reviewOrderBean.getComponent()\n .getPaymentDetails().getCommerceItems()) {\n commerceItems = reviewOrderBean.getComponent()\n .getPaymentDetails().getCommerceItems();\n for (int i = 0; i < commerceItems.size(); i++) {\n\n productsInfo.append(commerceItems.get(i)\n .getCatalogRefId());\n productsInfo.append(\";\");\n / sku quantity\n productsInfo.append(commerceItems.get(i)\n .getQuantity());\n productsInfo.append(\";\");/\n productsInfo.append(String.format(\n \"%.2f\", Double.valueOf(commerceItems.get(i)\n .getAmount())));\n if (i != commerceItems.size() - 1) //avoid adding \"\|\" at last product\n productsInfo.append(\"\|\");\n\n }\n\n\n }\n }\n }\n }\n return productsInfo;\n }", "String getStockName();", "public void showContentBought() {\n\n\t\tif (this.contentBought.size() == 0) {\n\t\t\tSystem.out.println(\"Nothing so far!\");\n\t\t\t\n\t\t} else {\n\t\t\tfor (int i = 0; i < this.contentBought.size(); i++) {\n\t\t\t\tSystem.out.println(this.contentBought.get(i).getName());\n\t\t\t}\n\t\t}\n\t}", "public void printProduct() {\n System.out.println(\"nom_jeu : \" + name);\n System.out.println(\"price : \" + price);\n System.out.println(\"uniqueID : \" + identifier);\n System.out.println(\"stock : \" + stock);\n System.out.println(\"image : \" + image);\n System.out.println(\"genre : \" + genre);\n System.out.println(\"plateforme : \" + platform);\n System.out.println();\n }", "public CimString getProductUrl() {\n return productUrl;\n }", "public void displayCartContents() {\r\n for (int i = 0; i < numItems; i++) { // Checks all objects in the cart\r\n if ((cart[i].getContents() != \"\")) { // If not item\r\n System.out.println(cart[i].getDescription()); // Display bag description\r\n System.out.println(cart[i].getContents()); // Display contents of bag\r\n } else { // Else it must be item\r\n System.out.println(cart[i].getDescription()); // Display item description\r\n }\r\n }\r\n }", "public String getShopName() {\n\t\treturn shopName;\n\t}", "public String getProductId();", "private String randomProductName() {\n\n String productName = this.products.get(intRandom(products.size() - 1));\n return productName;\n }", "Object getProduct();", "String getPageFullName();", "public String getNombre() {\n\t\treturn producto.getNombre();\n\t}", "String getCatalogName();", "public String getPriceTitle() {\n return this.PriceTitle;\n }", "public String PrintInventoryList()\r\n {\r\n String inventoryInformation = \"\";\r\n\r\n System.out.println(\"Inventory: \");\r\n //You may print the inventory details here\r\n for (Product product: productArrayList) // foreach loop to iterate through the ArrayList\r\n {\r\n // TODO: check if this code is right\r\n inventoryInformation += product.getId() + \" \" + product.getName() + \" \" +\r\n product.getCost() + \" \" + product.getQuantity() + \" \" + product.getMargin() + \"\\n\";\r\n }\r\n System.out.println(inventoryInformation);\r\n return inventoryInformation;\r\n }", "@Override\n\tpublic java.lang.String getUserScreenName() {\n\t\treturn _buySellProducts.getUserScreenName();\n\t}", "io.dstore.values.StringValue getPageCategoryDescription();", "public Product getProductFromName(String prodName) throws BackendException;", "public String getDatabaseProduct();", "public String Fetch_sop_text() {\r\n\t\treturn FetchText(DefineSetup_SOP_txtBx);\r\n\t}", "@Override\n\tpublic String getBarcode() {\n\t\treturn product.getBarcode();\n\t}", "public String getShopNm() {\n return shopNm;\n }", "public String getItemsString()\n {\n String vReturnString = \"you got : \"+this.aItemsList.getItemString();\n return vReturnString;\n }", "java.lang.String getProductImageUrl();", "public String getTextOnElementOnCheckoutOrderPage(String key){\n\t\t\n\t\treturn getTextOnElement(checkoutOrderPropertiesReader.getProperties(key));\n\t}", "java.lang.String getHotelName();", "public String getProductPictureDetails(){\r\n\t\t\t\r\n\t\t\treturn (hasProductPicture())?McsElement.getElementByXpath(driver, PRODUCT_PIC_CONTAINER+\"//img\").getAttribute(\"src\"): \"\";\r\n\t\t}", "String getDepotname();", "@Override\n public String toString(){\n if (myBasket.size() == 0) {\n System.out.println(\"No products yet.\");\n return null;\n }\n int i = 0;\n String string = \"List of products in basket: \\n\";\n for (Product product: myBasket.keySet())\n {\n i++;\n string = string + i + \")\\n\" + product.toString() + \"in basket: \" + myBasket.get(product) + \"\\n\";\n }\n return string;\n }", "private RLabel getDbProductLabel() {\n if (dbProductLabel == null) {\n dbProductLabel = new RLabel();\n dbProductLabel.setText(\"<%= ivy.cms.co(\\\"/Dialogs/about/databaseProduct\\\") %>\");\n dbProductLabel.setStyleProperties(\"{/insetsTop \\\"2\\\"}\");\n dbProductLabel.setName(\"dbProductLabel\");\n }\n return dbProductLabel;\n }", "public String getProductId() ;", "@Override\n public String getDescription() {\n return \"Digital goods listing\";\n }", "public void cart() {\n\t\tString s=dr.findElement(By.xpath(\"//[@id=\\\"Cart\\\"]/form\")).getText();\r\n\t\tSystem.out.println(s);\r\n\t}", "public void getProduct() {\n\t\tUtil.debug(\"getProduct\",this);\n\t\ttry {\n\t\t\tinputStream.skip(inputStream.available());\n\t\t} catch (IOException e) {\n\t\t\tUtil.log(e.getStackTrace().toString(),this);\n\t\t\treturn;\n\t\t}\n\t\ttry {\n\t\t\toutputStream.write(new byte[] { 'x', 13 });\n\t\t} catch (IOException e) {\n\t\t\tUtil.log(e.getStackTrace().toString(),this);\n\t\t\treturn;\n\t\t}\n\n\t\t// wait for reply\n\t\tUtil.delay(RESPONSE_DELAY);\n\t}", "public Name getShopperName() {\n return shopperName;\n }", "public void showAllProducts() {\n try {\n System.out.println(Constants.DECOR+\"ALL PRODUCTS IN STORE\"+Constants.DECOR_END);\n List<Product> products = productService.getProducts();\n System.out.println(Constants.PRODUCT_HEADER);\n for (Product product : products) { \n System.out.println((product.getName()).concat(\"\\t\\t\").concat(product.getDescription()).concat(\"\\t\\t\")\n .concat(String.valueOf(product.getId()))\n .concat(\"\\t\\t\").concat(product.getSKU()).concat(\"\\t\").concat(String.valueOf(product.getPrice()))\n .concat(\"\\t\").concat(String.valueOf(product.getMaxPrice())).concat(\"\\t\")\n .concat(String.valueOf(product.getStatus()))\n .concat(\"\\t\").concat(product.getCreated()).concat(\"\\t\\t\").concat(product.getModified())\n .concat(\"\\t\\t\").concat(String.valueOf(product.getUser().getUserId())));\n }\n } catch (ProductException ex) {\n System.out.println(ex);\n }\n }", "public String getProductBrandDesc() {\n return (String)getAttributeInternal(PRODUCTBRANDDESC);\n }", "protected String stringGoodsInfo() {\n String ret = \"Goods Supply\";\n for (G good : this.goods) {\n ret += \"\\nN = \" + good.supply;\n }\n return ret;\n }", "public String getNomeProduto() {\r\n\t\treturn nomeProduto;\r\n\t}" ]	[ "0.6745492", "0.64465594", "0.6287018", "0.62198985", "0.6219756", "0.6171608", "0.61593676", "0.61582536", "0.61396986", "0.6076478", "0.6054", "0.6050266", "0.6034489", "0.6034489", "0.6034489", "0.59894836", "0.59531015", "0.5945521", "0.59251", "0.5923746", "0.58711964", "0.5870367", "0.5866008", "0.58418083", "0.5833617", "0.5822255", "0.58181727", "0.5797478", "0.57842404", "0.57759184", "0.57571644", "0.57567745", "0.57341206", "0.57251114", "0.5711624", "0.5690308", "0.5689085", "0.5684831", "0.56717706", "0.56672126", "0.56645215", "0.56635296", "0.5661845", "0.5659614", "0.5659614", "0.56534624", "0.5612898", "0.55748856", "0.5569304", "0.55616087", "0.55597335", "0.5522221", "0.5520866", "0.5503182", "0.54968387", "0.5483699", "0.546869", "0.544114", "0.5440417", "0.5425141", "0.5400108", "0.53998363", "0.5397962", "0.5393894", "0.5379453", "0.5363687", "0.536128", "0.5349027", "0.5346626", "0.5339496", "0.53362805", "0.53315866", "0.5331255", "0.5325101", "0.53102183", "0.53018034", "0.5293537", "0.5287084", "0.5286731", "0.528227", "0.5277324", "0.5268526", "0.52631617", "0.526217", "0.5252915", "0.5252202", "0.5246249", "0.5242339", "0.5237863", "0.5236557", "0.5233754", "0.5232111", "0.5230066", "0.5225797", "0.5214723", "0.5194662", "0.51915294", "0.5190348", "0.518695", "0.5182724" ]	0.72506356	0
Click on continue shopping button	public synchronized void click_lnk_continueShopping() throws Exception { utils.clickWebElement(driver, btn_continueShopping(), "Continue Shopping button not found"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void clickOnContinueShoppingButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnContinueShoppingButton.click();\n\n \t}", "public synchronized WebElement btn_continueShopping() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_continueShopping\", \"\| PDP:Continue Shopping not present\");\n\t}", "public void clickOnProceedToCheckoutButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnProceedToCheckoutButton.click();\n\n \t}", "@And(\"^I Should see Continue shopping button$\")\n public void iShouldSeeCountinueButton()throws Throwable{\n Assert.assertTrue(\"Continue shopping button is not present\", Elements.elementPresent(\"checkout.rc_test_element\"));\n Clicks.click(\"checkout.rc_test_element\");\n getWebDriver().navigate().back();\n }", "private void clickContinueButton() {\n clickElement(continueButtonLocator);\n }", "public void ClickContinueShoppingBtnAddedToCartPage( ){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Continue Shopping button clicked in Added to Cart Page.\");\r\n\t\ttry{\r\n\r\n\t\t\twaitforElementVisible(locator_split(\"btnShoppingCartContinueShopping\"));\r\n\t\t\tclick(locator_split(\"btnShoppingCartContinueShopping\"));\r\n\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Continue Shopping button clicked in Added to Cart Page.\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Continue Shopping button is not clicked in Added to Cart Page.\"+elementProperties.getProperty(\"btnShoppingCartContinueShopping\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnShoppingCartContinueShopping\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\r\n\t}", "public void clickContinue() {\n\t\tcontinueButton.click();\n\t}", "public void continueToShipping() {\r\n\t\tclick(shipping);\r\n\t}", "public void clickOnAddToCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickAddToCartButton.click();\n\n \t}", "public void continue_billing() {\r\n\t\t\tthis.Continue_Billing.click();\r\n\t\t}", "public void ClickContinueShopping(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Continue shopping button should be clicked\");\r\n\t\ttry{\r\n\t\t\tsleep(3000);\r\n\t\t\tList<WebElement> ele = listofelements(locator_split(\"btnClickcontinueButton\"));\r\n\t\t\tif(ele.size()>1){\r\n\t\t\t\tclick(ele.get(1));\r\n\t\t\t}else{\r\n\t\t\t\tclick(ele.get(0));\r\n\t\t\t}\r\n\t\t\tSystem.out.println(\"Continue Shopping button is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Continue Shopping button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Continue Shopping button is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnClickcontinueButton\")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t}", "public void shoppingOnSauceLabs(){\n waitElement(backpack_product);\n click(backpack_product);\n waitElement(buttonAddToCart);\n click(buttonAddToCart);\n waitElement(iconShoppingCart);\n click(iconShoppingCart);\n click(buttonCheckOut);\n }", "public void clickContinueButtonForUnit() {\r\n\t\twebAppDriver.clickElementByCss(btnContinueButtonStorageUnitCss);\r\n\t\twebAppDriver.verifyPresenceOfTextInDivTagText(\"Your Reservation\");\r\n\t}", "public void clickOnViewCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnViewCartButton.click();\n\n \t}", "public void proceedToCheckOut()\n\t{\n\t\tproceedtocheckoutpage = productpage.addToCartBtnClick();\n\t}", "public void checkoutcontinuebutton( ){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- continue Registartion button clicked in popu page\");\r\n\t\ttry{\r\n\r\n\t\t\twaitforElementVisible(locator_split(\"checkoutregistrationcontinue\"));\r\n\t\t\tclick(locator_split(\"checkoutregistrationcontinue\"));\r\n\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- ccontinue Registartion button clicked in popu page\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- continue Registartion button is not clicked in popu page\"+elementProperties.getProperty(\"_Regcontinuebutton\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"checkoutregistrationcontinue\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\r\n\t}", "public void clickProductDetailsViewInCartBtn(){\n clickElement(productDetailsViewInCart);\n }", "@When(\"user clicks on checkoutbutton\")\r\n\tpublic void usert_clicks_on_checkoutbutton() {\n\t\tdriver.findElement(By.xpath(\"//[@id=\\\"cart\\\"]/tfoot/tr[2]/td[5]/a\")).click();\r\n\t}", "public void clickViewCartButton(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Viewcart button should be clicked\");\r\n\t\ttry{\r\n\t\t\t//waitForElement(btnViewCart);\r\n\t\t\twaitForElement(locator_split(\"btnViewCartBtn\"));\r\n\t\t\t//click(btnViewCart);\r\n\t\t\tclick(locator_split(\"btnViewCartBtn\"));\r\n\t\t\twaitForPageToLoad(20);\r\n\r\n\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Viewcart button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- View button is not clicked \"+elementProperties.getProperty(\"btnViewCartBtn\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnViewCartBtn\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\r\n\t}", "public static void goToCart() {\n click(SHOPPING_CART_UPPER_MENU);\n }", "public void clickProductDetailsAddToCartBtn(){\n clickElement(productDetailsAddToCart);\n }", "public void Cart() {\r\n\t\tthis.cart.click();\r\n\t}", "public void ClickMyAccountContinueShopping(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- My Account Registration continue shopping should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\tclick(locator_split(\"btnMyAccountContinueShopping\"));\r\n\t\t\tThread.sleep(3000);\r\n\t\t\tSystem.out.println(\"My Account Registration continue shopping is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- My Account Registration continue shopping is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- My Account Registration continue shopping is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnMyAccountContinueShopping\")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "public void clickViewCart(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- ViewCart button should be clicked\");\r\n\t\ttry{\r\n\t\t\twaitForPageToLoad(25);\r\n\t\t\twaitForElement(locator_split(\"BybtnSkuViewCart\"));\r\n\t\t\tclick(locator_split(\"BybtnSkuViewCart\"));\r\n\t\t\twaitForPageToLoad(25);\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- ViewCart button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- ViewCart button is not clicked \"+elementProperties.getProperty(\"BybtnSkuViewCart\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"BybtnSkuViewCart\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t} \r\n\t}", "public void clickCheckout()\n\t{\n\t\twaitForVisibility(checkout);\n\t\tcheckout.click();\n\t}", "public void clickPaypal() {\n\t\t\n\t\tclick(paypalButton);\n\t}", "public EmagHomePage clickonContinueButton()\n {\n continueButton.click();\n return new EmagHomePage(driver);\n }", "@When(\"^User clicks on continue button$\")\n\tpublic void user_clicks_on_continue_button() throws Throwable {\n\t\tGetDriver.browserState().findElement(By.name(\"findFlights\")).click();\n\t}", "public void clickAddtoCart(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Addtocart button should be clicked\");\r\n\t\ttry{\r\n\t\t\twaitForPageToLoad(25);\r\n\t\t\twaitForElement(locator_split(\"btnSkuAddToCart\"));\r\n\t\t\tclick(locator_split(\"btnSkuAddToCart\"));\r\n\t\t\tSystem.out.println(\"Add to cart button is clicked\");\r\n\t\t\tsleep(2000);\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Addtocart button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Addtocart button is not clicked \"+elementProperties.getProperty(\"btnSkuAddToCart\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnSkuAddToCart\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t} \r\n\t}", "public void clickshoppingcart(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- shopping cart link should be clicked\");\r\n\t\ttry{\r\n\t\t\twaitForElement(locator_split(\"lnkShoppingCart\"));\r\n\t\t\tclick(locator_split(\"lnkShoppingCart\"));\r\n\t\t\twaitForPageToLoad(20);\r\n\t\t\tSystem.out.println(\"shopping cart link is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- shopping cart link is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- shopping cart link is not clicked \");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"lnkShoppingCart\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "@When(\"I click on the buy button\")\n\t\tpublic void i_click_on_the_buy_button() {\n\t\t\tdriver.findElement(By.xpath(buttonBuy)).click();\n\t\t}", "@When(\"user clicks on add to cart button\")\r\n\tpublic void user_clicks_on_add_to_cart_button() {\n\t\tdriver.findElement(By.xpath(\"/html/body/section/div/div/div[2]/div/div/div/div[2]/center/a\")).click();\r\n\t}", "public void ClickShoppingcart(View view){\n MainActivity.redirectActivity(this,Shopping_cart_MainActivity.class);\n }", "private void goToShop() {\n shopMenu.runMenu();\n }", "public void clickOnContinueAsGuestUserLink()\n \t{\n \t\tproductRequirementsPageLocators.continueAsGuestUserLIink.click();\n\n \t}", "public void ClickQviewAddtoCartbutton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Qview Add to cart button should be clicked\");\r\n\t\ttry{\r\n\t\t\tclick(locator_split(\"btnQviewAddtoCart\"));\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Qview Add to cart button is clicked\");\r\n\t\t\tSystem.out.println(\"Clicked the Add to Cart in QView\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Qview Add to cart button is not clicked or Not Available\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnQviewAddtoCart\")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t}", "public void clickCartPopupViewCart(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- To Click the View cart button in the Shopping Cart popup \");\r\n\t\ttry{\r\n\t\t\tclick(locator_split(\"btnCartViewCart\"));\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Clicked on the View Cart Button in the shopping cart popup\");\r\n\t\t\tSystem.out.println(\"Clicked on the View Cart Button in the shopping cart popup\");\r\n\t\t}\r\n\t\tcatch (Exception e)\r\n\t\t{\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- View Cart Button is not clicked in the shopping cart popup\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnCartViewCart\")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "public void click_Continue_ShippingSummary()\n\t{\n\t\twaitForVisibility(continueShippingSummary);\n\t\tcontinueShippingSummary.click();\n\t}", "@Then(\"^click on checkout$\")\r\n\tpublic void click_on_checkout() throws Throwable {\n\t\tverbose(\"********************************************************\");\r\n\t\tAssert.assertTrue(navigate_rsc.checkout());\r\n\t\tverbose(\"********************************************************\");\r\n\t \r\n\t}", "private void buyButtonClicked(final ShopItem shopItem) {\n int cost = shopItem.getPrice();\n if (GameActivity.buyItem(cost)) {\n shopItem.setState(ItemStatusID.BOUGHT);\n updateUI();\n }\n }", "public void ClickShoppingcart(View view){\n redirectActivity(this,SummaryActivity.class);\n }", "public void ViewCart() {\r\n\t\tthis.ViewCart.click();\r\n\t}", "@When(\"usert clicks on continue\")\r\n\tpublic void usert_clicks_on_continue() {\n\tdriver.findElement(By.id(\"btn\")).click();\r\n\t\r\n}", "@When(\"^I click on the Continue button$\")\n\tpublic void i_click_on_the_Continue_button() throws Throwable {\n\t\tdriver.findElement(By.id(\"tdb5\")).click();\n\t \n\t}", "public static void goToCheckout() {\n click(CHECKOUT_UPPER_MENU);\n }", "public void makeAnotherPayment() {\n btnMakeAnotherPayment().click();\n }", "public synchronized void click_lnk_checkout() throws Exception {\n\t\tutils.clickWebElement(driver, pdp_btn_checkout(), \"Checkout button not found\");\n\n\t}", "public void acceptAndProceed()\r\n {\r\n\t driver.findElement(By.id(\"PCNChecked\")).click();\r\n\t driver.findElement(By.xpath(\"/html/body/div[1]/div/div/main/div/main/div/div/div[1]/div/div/form/fieldset/div[3]/div[2]/button\")).click();\r\n }", "public void clickbtnApprove() {\n\t\twaitForElementClickable(10,btnApprove);\n\t\tclickByJavaScript(btnApprove);\n\t\tsleep(1);\n\t}", "public void goIntoProducts() {\r\n\t\tActions act = new Actions(driver);\r\n\t\t//hovering over the tag button\r\n\t\tact.moveToElement(this.tagButton).build().perform();\r\n\t\t//clicking on products button\r\n\t\tthis.productsBtn.click();\r\n\t}", "public void clickOnEnrollNowButton() {\n\t\tif(enrollNowButton.isEnabled()) {\n\t\twaitAndClick(enrollNowButton);\n\t\t}\n\t}", "public void clickOnYesButton() {\r\n\t\tsafeJavaScriptClick(manageVehiclesSideBar.replace(\"Manage Vehicles\", \"Yes\"));\r\n\t}", "public void proceedToLetsGo() {\n\t\tBrowser.click(\"xpath=.//[@id='DisplayNavigatorBrokerLandingPage']/div/div/div/div/div/div/div/div/div[5]/a/img\");\n\t}", "private void continueButton() {\n Optional<Squadron> anyAvailable = game\n .getHumanPlayer()\n .getNations()\n .stream()\n .filter(Nation::isSquadronsPresent)\n .flatMap(nation -> game.getHumanPlayer().getSquadrons(nation, SquadronLocationType.LAND).stream())\n .filter(Squadron::isAvailable)\n .findAny();\n\n List<Region> regionsNotSatisfied = gameMap\n .areAllRegionsSatisfied(game.getHumanSide());\n\n if (anyAvailable.isPresent()) {\n warnNotAllSquadronsDeployed();\n } else if (regionsNotSatisfied.size() > 0) {\n warnNotAllRegionsSatisfied(regionsNotSatisfied);\n } else {\n navigate.goNext(this.getClass(), stage);\n }\n }", "@Override\r\n\t\t\tpublic void onClick(View arg0) {\n\t\t\t\tServiceAdditionActivity.setclass(\"rebuy\");\r\n\t\t\t\tstartActivity(new Intent(ServiceActivity.this,ServiceAdditionActivity.class));\r\n\t\t\t}", "public static void addToCart() {\n List<WebElement> buttonsAddItem = Browser.driver.findElements(ADD_TO_CART_BUTTON);\n buttonsAddItem.get(0).click();\n Browser.driver.navigate().refresh();\n }", "public void clickLogin() {\n\t\tcontinueButton.click();\n\t}", "public void clickCheckoutButton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- CheckOut button should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\twaitForElement(locator_split(\"btnCheckout\"));\r\n\t\t\tclick(locator_split(\"btnCheckout\")); \r\n\t\t\tsleep(1000);\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- CheckOut button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- CheckOut button is not clicked \"+elementProperties.getProperty(\"btnCheckout\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnCheckout\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t\tReporter.log(\"Clicked on Checkout button\");\r\n\t}", "@Then(\"^product in shown as available\")\n public void clicks_On_Add_Button(){\n }", "public void clickOnTheCheckOutButton() {\n\t\tSystem.out.println(\"Making click in the button checkout\");\n\t\twaitForAnExplicitElement(body_button_checkout);\n\t\tclick(body_button_checkout);\n\t}", "public void startBuying(View view) {\n\n startActivity(new Intent(this, Shopping_List.class));\n\n }", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tonInappBilling();\n//\t\t\t\tonBuyPressed();\n\t\t\t}", "public synchronized void verifyCartBtn() {\n\t\ttry {\n\t\t\tWebActionUtil.waitForElement(cartBtn, \"cart button\", 30);\n\t\t\tWebActionUtil.isElementClickable(cartBtn, \"Cart button\");\n\t\t}\n\t\t catch (Exception e) \n\t\t{\n\t\t\t WebActionUtil.error(e.getMessage());\n\t\t\tWebActionUtil.error(\"Unable to clk on cart button\");\n\t\t\tAssert.fail(\"Unable to clk on cart button\");\n\t\t}\n\t}", "private void shopExitButtonClicked() {\n finish();\n }", "public void proceedOnPopUp() {\n Controllers.button.click(proceedToCheckOutPopUp);\n }", "@Override\n\t\t\tpublic void buttonClick(ClickEvent event) {\n\t\t\t\t\n\t\t\t\t\n\t\t\t\tUI.getCurrent().getNavigator().navigateTo(\"CliPantallaBusquedaExpedientes\");\t \n\t\t\t}", "public static void checkAndClickPlayButton() {\r\n\t\tcheckNoSuchElementExceptionByXPath(\"//[@id=\\\"secondepage\\\"]/center/button[1]\", \"\\\"Play\\\" button\");\r\n\t\tcheckElementNotInteractableExceptionByXPath(\"//[@id=\\\"secondepage\\\"]/center/button[1]\", \"\\\"Play\\\" button\");\r\n\t}", "public void userClicksRemoveItemsFromCartButton() {\n UtilityHelper.waitUntilClickable(UnavailableItems_Modal_Button);\n UtilityHelper.click(UnavailableItems_Modal_Button);\n UtilityHelper.waitUntilElementNotVisible(UnavailableItems_Modal);\n }", "public void clickGoToYourAccountButton() {\n\t\telement(signUpObjects.getOTPButton).click();\n\t}", "public static WebElement btn_clickProductListTabViewInqNow() throws Exception{\r\n \ttry{\r\n \t\tWebDriverWait waits = new WebDriverWait(driver, 25);\r\n \t\twaits.until(ExpectedConditions.visibilityOfElementLocated(\r\n \t\t\t\tBy.xpath(\"//[contains(@class, 'GS_globalNav clearfix')]\")));\r\n \t\t\r\n \t\twaits.until(ExpectedConditions.elementToBeClickable(\r\n \t\t\t\tBy.xpath(\"(//[contains(@class, 'UItrigger_inquiryBox button')])[position()=1]\")));\r\n \t\t\r\n \t\telement = driver.findElement(By.xpath(\"(//[contains(@class, 'UItrigger_inquiryBox button')])[position()=1]\"));\r\n \t\t\r\n \t\tJavascriptExecutor executor = (JavascriptExecutor)driver;\r\n \t\texecutor.executeScript(\"arguments[0].click();\", element);\r\n \t\t\r\n \t\tAdd_Log.info(\"Inquire Now button for Verified Product is click on the page.\");\r\n \t}catch(Exception e){\r\n \t\tAdd_Log.error(\"Inquire Now button for Verified Product is NOT found on the page.\");\r\n \t\tthrow(e);\r\n \t}\r\n \treturn element;\r\n }", "public void Click_Done()\r\n\t{\r\n\t\tExplicitWait(Specialdone);\r\n\t\tif (Specialdone.isDisplayed()) \r\n\t\t{\r\n\t\t\tJavascriptexecutor(Specialdone);\r\n\t\t\tExplicitWait(Checkavailability);\r\n\t\t\t//System.out.println(\"Clicked on Special Rate plan done button \");\r\n\t\t\tlogger.info(\"Clicked on Special Rate plan done button\");\r\n\t\t\ttest.log(Status.INFO, \"Clicked on Special Rate plan done button\");\r\n\r\n\t\t} else {\r\n\t\t\t//System.out.println(\"Special Rate plan done button not found\");\r\n\t\t\tlogger.error(\"Special Rate plan done button not found\");\r\n\t\t\ttest.log(Status.FAIL, \"Special Rate plan done button not found\");\r\n\r\n\t\t}\r\n\t}", "@Override\n public void onClick(View v) {\n AddingToCartList();\n }", "public void Regcontinuebutton( ){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- continue Registartion button clicked\");\r\n\t\ttry{\r\n\r\n\t\t\twaitforElementVisible(locator_split(\"Regcontinuebutton\"));\r\n\t\t\tclick(locator_split(\"Regcontinuebutton\"));\r\n\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- continue Registartion button clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- continue Registartion button is not clicked \"+elementProperties.getProperty(\"Regcontinuebutton\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"Regcontinuebutton\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\r\n\t}", "@Override\n\tpublic void onClick(View v) {\n\t\tint id=v.getId();\n\t\t\n\t\tif(id==R.id.btnnexts){\n\t\t\t\n\t\t\tIntent in=new Intent(getApplicationContext(),ShortSharpSensation.class);\n\t\t\tstartActivity(in);\n\t\t\tfinish();\n\t\t}\n\n\t\tif(id==R.id.buythis){\n\t\t\t\n\t\t\tGskDatabase mdatabaseObj = new GskDatabase(getApplicationContext());\n\t\t\tmdatabaseObj.openDB();\n\t\t\tString sensodyne_id = mdatabaseObj.getBrandId(\"Sensodyne\");\n\t\t\tEditor e2 = this.getSharedPreferences(\"brand_count\",\n\t\t\t\t\tContext.MODE_WORLD_READABLE).edit();\n\n\t\t\te2.putString(\"brand\", \"Sensodyne\");\n\t\t\te2.putString(\"brand_id\", sensodyne_id);\n\t\t\te2.putString(\"count_status\", \"Yes\");\n\t\t\te2.commit();\n\n\t\t\tIntent intent = new Intent(getApplicationContext(),Sales_Record.class);\n\t\t\tstartActivity(intent);\n\t\t\tfinish();\n\t\t\t\n\t\t}\n\t\t\n\t}", "@Override\r\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tMessage msg = Message.obtain();\r\n\t\t\t\tnextStep = OK;\r\n\t\t\t\tmsg.what = nextStep;\r\n\t\t\t\tmHandler.sendMessage(msg);\r\n\t\t\t\tisPause =true;\r\n\t\t\t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tClickQuickCoupler();\n\t\t\t}", "public void Cart_icon() {\r\n\t\tthis.Cart_icon.click();\r\n\t}", "public static void clickNextBtnGame() {\t\n\t\tdriver.findElement(By.id(\"btnnext\")).click();\n\t}", "@Override\n public void onClick(View v) {\n PageType pageType = PageType.HOME_PAGE;\n CustomerCart customerCart = new CustomerCart();\n boolean wasIncentiveDisplayed = false;\n customerCart.setCartId(Config.CART_ID);\n String wizCartCouponCode = null;\n wizCartClientWrapper.sendTrackingPageView(pageType, customerCart,wasIncentiveDisplayed, wizCartCouponCode);\n }", "@Override\r\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tMessage msg = Message.obtain();\r\n\t\t\t\tnextStep = OTHERBEACH;\r\n\t\t\t\tmsg.what = nextStep;\r\n\t\t\t\tmHandler.sendMessage(msg);\r\n\t\t\t\tisPause =true;\r\n\t\t\t}", "public void ClickChecoutsubmitcontinue(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Checkout Registration submit continue button should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\tif(isElementPresent(locator_split(\"btncheckoutregistrationsubmitcontinue\"))){\r\n\t\t\t\tclick(locator_split(\"btncheckoutregistrationsubmitcontinue\"));\r\n\t\t\t}else{\r\n\t\t\t\tclick(locator_split(\"chkcheckoutregistrationconfirmaddress\"));\r\n\t\t\t}\r\n\t\t\tSystem.out.println(\"Checkout Registration submit continue button is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Checkout Registration submit continue button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Checkout Registration submit continue button is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btncheckoutregistrationsubmitcontinue\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "public void ClickAddtoCartinShoppinginsight(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Add to cart should be clicked in shopping insight\");\r\n\t\ttry{\r\n\t\t\tList<WebElement> ele = listofelements(locator_split(\"btnShoppinginsightaddtocart\"));\r\n\t\t\tclick(ele.get(1));\r\n\t\t\tsleep(3000);\r\n\t\t\tSystem.out.println(\"Add to cart is clicked in shopping insight\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Add to cart is clicked in shopping insight\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Add to cart is not clicked in shopping insight\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnShoppinginsightaddtocart\")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t}", "@When(\"I click on the product I want to buy\")\n\t\tpublic void i_click_on_the_product_I_want_to_buy() {\n\t\t\tWebDriverWait wait = new WebDriverWait(driver, 20);\n\t\t\twait.until(ExpectedConditions.visibilityOfElementLocated(By.xpath(book)));\n\t\t\tbookElement = driver.findElement(By.xpath(book));\n\t\t\t//scroll down the page to my product\n\t\t\t((JavascriptExecutor) driver).executeScript(\"arguments[0].scrollIntoView(true);\", bookElement);\n\t\t\tdriver.findElement(By.xpath(book)).click();\n\t\t}", "public void initialAddToCart() {\n JavascriptExecutor js = (JavascriptExecutor) webDriver;\n js.executeScript(\"arguments[0].scrollIntoView();\", productImage);\n Actions action = new Actions(webDriver);\n action.moveToElement(productImage).perform();\n\n Controllers.button.click(addtoCartInitial);\n }", "@Override\r\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tonPay();\r\n\t\t\t}", "public static void viewCart() {\n click(CART_BUTTON);\n click(VIEW_CART_BUTTON);\n }", "@Override\n public void onClick(View v) {\n\n\n Intent intent=new Intent(Product_cart.this,checkOut.class);\n\n intent.putExtra(\"total\",totalamount);\n intent.putExtra(\"grosstotal\",grosstotal.getText());\n intent.putExtra(\"patientname\",patient.getFullName());\n intent.putExtra(\"patientmobi\",patient.getMobile());\n intent.putExtra(\"patientemail\",patient.getEmail());\n intent.putExtra(\"cusID\",cusID);\n intent.putExtra(\"buttonID\",\"cart\");\n\n intent.setFlags(Intent.FLAG_ACTIVITY_NEW_TASK);\n\n startActivity(intent);\n\n\n\n }", "@Override\n public void onSureClick(String value) {\n tenPayPopWindow.dismiss();\n checkPresenterImpl.addTenPayPayment(cashierResult.bill.unpaid, value);\n }", "public void sendStartCheckoutHit() {\n Product product = new Product()\n .setName(\"dinner\")\n .setPrice(5)\n .setVariant(thisDinner)\n .setId(thisDinnerId)\n .setQuantity(1);\n\n ProductAction productAction =\n new ProductAction(ProductAction.ACTION_CHECKOUT);\n\n Tracker tracker = ((MyApplication) getApplication()).getTracker();\n\n tracker.send(new HitBuilders.EventBuilder()\n .setCategory(\"Shopping steps\")\n .setAction(\"Start checkout\")\n .setLabel(thisDinner)\n .addProduct(product)\n .setProductAction(productAction)\n .build());\n }", "public static void clickNextBtn() {\t\n\t\ttry {\n\t\t\tdriver.findElement(By.id(\"nextquest\")).click();\n\t\t}\n\t\tcatch(Exception e) {\n\t\t\tSystem.out.println(\"Next button in Q&A submit doesnt work\");\n\t\t}\n\t}", "@Override\r\n\t\tpublic void onClick(View v) {\n\t\t\tswitch (v.getId()) {\r\n\t\t\tcase R.id.liscli_shopName:\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\r\n\t\t}", "@Override\n public void actionPerformed(ActionEvent e) {\n boolean found = false;\n //Checking addToCart Button\n for (int j = 0; j < MAX_NUMB_PRODUCTS; j++) {\n if (addToCartBtn[j] == null) {\n break;\n }\n if (e.getSource() == addToCartBtn[j]) {\n //Getting Product\n Product p = inventory.getProductAt(getFirstProductDisplayed() + j);\n found = true;\n //Update Total\n myShoppingCart.setTotal(p.getProductPrice());\n //Update JLabel\n getTotalLabel().setText(\"Total: $\" + String.valueOf(myShoppingCart.getTotal()));\n //Add to shopping Cart\n myShoppingCart.addProduct(new Product(p.getId(), p.getSellerName(), p.getProductName(), p.getInvoicePrice(), p.getProductPrice(), 1));\n }\n //Stop loop if the button was found\n if (found) {\n break;\n }\n }\n //Checking read Details\n if (!found) {\n for (int j = 0; j < MAX_NUMB_PRODUCTS; j++) {\n if (getProdBTN1(j) == null) {\n break;\n }\n if (e.getSource() == getProdBTN1(j)) {\n //Getting Product\n Product pDescription = inventory.getProductAt(getFirstProductDisplayed() + j);\n //Creating popup message\n createPOPUP(\"Product Description\", pDescription.toString());\n found = true;\n }\n //Stop loop if the button was found\n if (found) {\n break;\n }\n }\n }\n //Checking next Page button\n if (!found) {\n if (e.getSource() == nextPagebtn) {\n found = true;\n if (getLastProductDisplayed() != inventory.getSize()) {\n //Update the first Product displayed\n setFirstProductDisplayed(getLastProductDisplayed());\n //Update mainPanel\n mainPanel(\"Inventory\");\n previousPagebtn.setEnabled(true);\n } else {\n //Disable button if end of inventory\n nextPagebtn.setEnabled(false);\n }\n }\n }\n //Checking previous Page button\n if (!found) {\n if (e.getSource() == previousPagebtn) {\n found = true;\n if (getLastProductDisplayed() - MAX_NUMB_PRODUCTS != 0 && getLastProductDisplayed() - MAX_NUMB_PRODUCTS > 0) {\n //Update the first Product displayed\n setFirstProductDisplayed(getFirstProductDisplayed() - MAX_NUMB_PRODUCTS);\n //Update mainPanel\n mainPanel(\"Inventory\");\n //mainPanel.repaint();\n nextPagebtn.setEnabled(true);\n } else {\n //Disable button if start of inventory\n previousPagebtn.setEnabled(false);\n }\n }\n }\n //Checking checkout button\n if (!found) {\n if (e.getSource() == checkOutbtn) {\n //Update mainPanel\n mainPanel(\"Checkout\");\n found = true;\n }\n }\n //Checking for new Qty\n if (!found) {\n for (int j = 0; j < myShoppingCart.getSize(); j++) {\n if (j > myShoppingCart.getSize() \|\| newQtyBtn[j] == null) {\n break;\n }\n if (e.getSource() == newQtyBtn[j]) {\n found = true;\n if (!\"\".equals(updateQuantity[j].getText())) {\n //Getting Product\n Product p = myShoppingCart.getProductAt(j);\n //New Quantity entered\n int newQTY = Integer.valueOf(updateQuantity[j].getText());\n \n //Update Total\n double Total = newQTY p.getProductPrice();\n double newTotal = Total + (myShoppingCart.getTotal() - (p.getProductPrice() * p.getQuantity()));\n if (newQTY == 0) {\n //Delete product from shoppingCart\n myShoppingCart.removeProduct(j);\n myShoppingCart.resetTotal();\n myShoppingCart.setTotal(newTotal);\n System.out.println(\"Shopping Cart Total\" + newTotal);\n //Update JLabel\n getTotalLabel().setText(\"Total: $\" + String.valueOf(myShoppingCart.getTotal()));\n createPOPUP(\"Message\", \"Product Removed\");\n //Update mainPanel\n mainPanel(\"Shopping Cart\");\n } else {\n //Update new Quantity if possible\n int result = inventory.findProductQTY(p.getSellerName(), String.valueOf(p.getId()));\n System.out.println(\"Result in the inventory: \" + result);\n if (result != 0) {\n if (newQTY > result) {\n createPOPUP(\"ERROR\", \"New quantity exceeds the number of product found in the inventory\"\n + \"\\nNO MORE THAN: \" + result);\n updateQuantity[j].setText(\"\");\n } else {\n myShoppingCart.updateProductQTY(new Product(p.getId(), p.getSellerName(), p.getProductName(), p.getInvoicePrice(), p.getProductPrice(), newQTY));\n myShoppingCart.resetTotal();\n myShoppingCart.setTotal(newTotal);\n getTotalLabel().setText(\"Total: $\" + String.valueOf(myShoppingCart.getTotal()));\n //Update mainPanel\n mainPanel(\"Shopping Cart\");\n }\n }\n }\n } else {\n //Error message if textfield is empty\n createPOPUP(\"Message\", \"Please enter a new Quantity\");\n }\n }\n //Stop loop if the button was found\n if (found) {\n break;\n }\n }\n }\n\n //Checking submit order button\n if (!found) {\n if (e.getSource() == submitbtn) {\n if (!creditCardView.getFormCompleted()) {\n createPOPUP(\"Message\", \"Please Complete Credit Card Form\");\n } else {\n //Complete Order\n myShoppingCart.completeOrder(creditCardView.getName(), creditCardView.getCreditCard(), creditCardView.getExpirationDate(), creditCardView.getZIPCode());\n createPOPUP(\"Order Completed\", myShoppingCart.printReceipt());\n //Update Inventory\n myShoppingCart.getProductsBought().forEach((product) -> {\n inventory.updateInventory(\"Customer\", product);\n });\n //Clear myShoppingCart\n myShoppingCart.clearCart();\n myShoppingCart.resetTotal();\n getTotalLabel().setText(\"Total: $\" + String.valueOf(myShoppingCart.getTotal()));\n inventory = new ProductInventory();\n topButton.setText(\"Shopping Cart\");\n //Update mainPanel\n mainPanel(\"Inventory\");\n }\n }\n }\n }", "public void clickYes ();", "@Override\n\t\t\tpublic void onClick(View arg0) {\n\t\t\t\tToast.makeText(mContext, \"购物\", Toast.LENGTH_SHORT).show();\n\t\t\t}", "@Override\n public void onClick(View v) {\n if(home.checkFoodIteminCart(whatsNewFoodItemHashMap)) {\n Home.progressDialog.setMessage(\"Removing Food Item from your Cart\");\n addtocartWhatsNew.setImageResource(R.drawable.addtocart_icon);\n home.removefromcart(whatsNewFoodItemHashMap);\n }else {\n HashMap foodItemFound = home.findFoodItem(whatsNewFoodItemHashMap);\n if(foodItemFound != null) {\n Home.progressDialog.setMessage(\"Adding Food Item to your Cart\");\n home.addtocart(foodItemFound);\n addtocartWhatsNew.setImageResource(R.drawable.addedtocart_icon);\n }\n }\n new CountDownTimer(1000, 1000) {\n @Override\n public void onTick(long millisUntilFinished) { }\n @Override\n public void onFinish() {\n Home.progressDialog.dismiss();\n }\n }.start();\n }", "public void checkOutFlight() {\n confirmationPage.checkButton();\n }", "public synchronized void clkOnCartBtn() {\n\t\ttry {\n\t\t\tWebActionUtil.waitForElement(cartBtn, \"cart button\", 30);\n\t\t\tWebActionUtil.clickOnWebElement(cartBtn, \"cart button\", \"Unable to clk on cart button\");\n\t\t}\n\t\t catch (Exception e) \n\t\t{\n\t\t\t WebActionUtil.error(e.getMessage());\n\t\t\tWebActionUtil.error(\"Unable to clk on cart button\");\n\t\t\tAssert.fail(\"Unable to clk on cart button\");\n\t\t}\n\t}", "@Override\n\tpublic void actionPerformed(ActionEvent event) {\n\t\tif (event.getSource() == Next) {\n\t\t\tthis.setVisible(false);\n\t\t\tnew IngredientsShop();\n\n\t\t}\n\t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\n\t\t\t\t\tIntent shopIntent = new Intent(MainActivity.this, ShopActivity.class);\n\t\t\t\t\t//featuredIntent.putExtra(EXTRA_MESSAGE, message);\n\t\t\t\t\tstartActivity(shopIntent);\n\n\t\t\t}", "private void startGoToCartAct() {\n Intent intent = new Intent(this, EcomCartActivity.class);\n startActivity(intent);\n }" ]	[ "0.8380191", "0.76490366", "0.7580737", "0.7565919", "0.7466811", "0.73737144", "0.7349288", "0.7323796", "0.7320436", "0.7316295", "0.7305359", "0.7128257", "0.71041584", "0.7081254", "0.7033549", "0.7019614", "0.7004869", "0.698602", "0.6972319", "0.69621044", "0.69519573", "0.69429207", "0.69378316", "0.6933704", "0.69130415", "0.6818161", "0.679077", "0.676318", "0.6751546", "0.67501026", "0.67470294", "0.6735261", "0.673021", "0.668047", "0.6680261", "0.66460854", "0.6611727", "0.6601052", "0.65745366", "0.65679574", "0.65540785", "0.6542884", "0.6536491", "0.65288866", "0.65269446", "0.65264165", "0.65033364", "0.64744496", "0.6470983", "0.646644", "0.64545995", "0.6447544", "0.64468545", "0.64439946", "0.6439336", "0.64299417", "0.64265394", "0.6403065", "0.63955176", "0.63948184", "0.63829476", "0.63565534", "0.6335389", "0.63102657", "0.62853754", "0.6284696", "0.6282576", "0.6278677", "0.6270336", "0.6269655", "0.62674737", "0.6264754", "0.6263503", "0.62463367", "0.6238579", "0.6237142", "0.6221542", "0.6215334", "0.6208563", "0.61971414", "0.619312", "0.6192001", "0.6182673", "0.6134568", "0.6127469", "0.6124207", "0.6118771", "0.6107156", "0.610493", "0.610138", "0.60975254", "0.6094347", "0.6084252", "0.60806346", "0.60761505", "0.60688657", "0.60687983", "0.60682714", "0.60652286", "0.60617256" ]	0.8052787	1
Get the Product Name	public synchronized WebElement btn_continueShopping() throws Exception { return utils.findElementByLocator(driver, "PDP_continueShopping", "\| PDP:Continue Shopping not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Override\n\tpublic String getName() {\n\t\treturn product.getName();\n\t}", "public String getName(){\n\t\treturn Name; // Return the product's name\n\t}", "public String getProductName() {\r\n return productName;\r\n }", "public java.lang.String getProductName () {\r\n\t\treturn productName;\r\n\t}", "public String getProductName() {\r\n\t\treturn productName;\r\n\t}", "public String getProductName() {\n return productName;\n }", "public String getProductName() {\n return productName;\n }", "public String getProductName() {\n return productName;\n }", "public java.lang.String getProductName() {\n return productName;\n }", "public String getProductName() {\n\t\treturn productName;\n\t}", "public String getProductName(){\n return productRelation.getProductName();\n }", "public String getProdDetailsName(){\n String prodName = productDetailsName.toString();\n return prodName;\n }", "public String getNameProd() {\n\t\treturn nameProd;\n\t}", "public String getProdName() {\n\t\treturn prodName;\n\t}", "@Override\n public String getEISProductName() throws ResourceException {\n return repository.getDescriptor(Repository.REP_NAME_DESC);\n }", "public String getProductTypeName() {\r\n return productTypeName;\r\n }", "private String randomProductName() {\n\n String productName = this.products.get(intRandom(products.size() - 1));\n return productName;\n }", "public java.lang.String getProduct() {\n return product;\n }", "String getProduct();", "protected String extractProductName(String record) {\n var payload = new JSONObject(record);\n if (payload.has(\"payload\")) {\n payload = payload.getJSONObject(\"payload\");\n }\n JSONArray array1 = payload.getJSONArray(\"files\");\n logger.info(\"Product name:\");\n for (int j = 0; j < array1.length(); j++) {\n JSONObject obj2 = array1.getJSONObject(j);\n //System.out.println(obj2);\n if (obj2.has(\"productName\")){\n String productName = obj2.getString(\"productName\");\n System.out.println(productName);\n return productName;\n }\n }\n System.out.println(\"Product name not retrieved.\");\n return null;\n }", "public Product getProductFromName(String prodName) throws BackendException;", "public String getNomeProduto() {\r\n\t\treturn nomeProduto;\r\n\t}", "java.lang.String getProductDescription();", "public synchronized WebElement txt_ProductName() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductName\", \"\| PDP:Product Name not present\");\n\t}", "public String getProductLabel(){\n return productLabel.getText().trim();\n }", "public String getProduct() {\r\n return this.product;\r\n }", "public synchronized WebElement shoppingBagProductName() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ShoppingBagProduct\",\n\t\t\t\t\"\| PDP:Content(Product Name) of the Shopping bag page\");\n\t}", "public String getProduct() {\n return product;\n }", "public String getProduct() {\n return product;\n }", "public String getProduct() {\n return this.product;\n }", "java.lang.String getProductCode();", "public java.lang.String getProductInfo () {\n\t\treturn productInfo;\n\t}", "public String getProduct()\n {\n return product;\n }", "String getNombreProducto();", "Product getProductByProductName(String productName);", "String getTheirProductId();", "public void setProductName(final String productName);", "String getProductId();", "public String product() {\n return this.product;\n }", "public String getNamePro() {\n return namePro;\n }", "public String getNoSqlDbProductName() throws StoreFactoryException;", "public String getProductOwner();", "public void setProductName(String productName) {\r\n this.productName = productName;\r\n }", "private String getProductNameById(String testAdministrationVal) {\r\n\t\tString productName = null;\r\n\t\ttry {\r\n\t\t\tif ((testAdministrationVal != null) && (!\"null\".equalsIgnoreCase(testAdministrationVal))) {\r\n\t\t\t\tproductName = inorsService.getProductNameById(Long.valueOf(testAdministrationVal));\r\n\t\t\t}\r\n\t\t} catch (Exception e) {\r\n\t\t\tlogger.log(IAppLogger.WARN, e.getMessage());\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\treturn (productName == null) ? \"\" : productName;\r\n\t}", "String getDepotname();", "public void setProductName(String productName) {\n this.productName = productName;\n }", "public void setProductName(String productName) {\n this.productName = productName;\n }", "public void setProductName(String productName) {\n this.productName = productName;\n }", "@Override\n public String getProductName() {\n return ProductName.REFLECTIONS_II_BOOSTER_PACK;\n }", "public String getProName() {\n return proName;\n }", "public String getDatabaseProduct();", "public String getNombre() {\n\t\treturn producto.getNombre();\n\t}", "private RLabel getProductLabel() {\n if (productLabel == null) {\n productLabel = new RLabel();\n productLabel.setText(\"<%= ivy.cms.co(\\\"/Dialogs/about/product\\\") %>\");\n productLabel.setStyleProperties(\"{/insetsTop \\\"2\\\"}\");\n productLabel.setName(\"productLabel\");\n }\n return productLabel;\n }", "public void setProductName(java.lang.String productName) {\n this.productName = productName;\n }", "String getPlatformName();", "public void setProductName(String productName) {\r\n\t\tthis.productName = productName;\r\n\t}", "public String getProductColorName() {\r\n return productColorName;\r\n }", "@Test\n public void testGetProductName_1()\n throws Exception {\n Project fixture = new Project();\n fixture.setWorkloadNames(\"\");\n fixture.setName(\"\");\n fixture.setScriptDriver(ScriptDriver.SilkPerformer);\n fixture.setWorkloads(new LinkedList());\n fixture.setComments(\"\");\n fixture.setProductName(\"\");\n\n String result = fixture.getProductName();\n\n assertEquals(\"\", result);\n }", "public void setProductName (java.lang.String productName) {\r\n\t\tthis.productName = productName;\r\n\t}", "String getCatalogName();", "String currentProduct() {\n if (PageFlowContext.getPolicy() != null && PageFlowContext.getPolicy().getProductTypeId() != null) {\n return PageFlowContext.getPolicy().getProductTypeId();\n } else {\n return \"\";\n }\n }", "public java.lang.String getName();", "String getStockName();", "public String getProductExt() {\n return (String)getAttributeInternal(PRODUCTEXT);\n }", "String getName() ;", "public String getProductId();", "String getPName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();", "String getName();" ]	[ "0.8488001", "0.8409583", "0.8400024", "0.8373865", "0.8352457", "0.8342693", "0.8342693", "0.8342693", "0.83195627", "0.8275608", "0.8249424", "0.7942589", "0.7715989", "0.77081734", "0.76436156", "0.74980867", "0.73893785", "0.7336547", "0.7313527", "0.7112284", "0.70938146", "0.7075553", "0.7051627", "0.70494086", "0.69559914", "0.6955701", "0.69279206", "0.69167405", "0.69167405", "0.6908924", "0.6884664", "0.68603677", "0.68454224", "0.68298674", "0.6807056", "0.6793568", "0.6792832", "0.6778574", "0.6745139", "0.67447007", "0.6717209", "0.66862667", "0.6648001", "0.66394746", "0.66201395", "0.66168815", "0.66168815", "0.66168815", "0.6616167", "0.6613781", "0.6558186", "0.65429306", "0.65367246", "0.6527202", "0.6504917", "0.64998215", "0.6466548", "0.6458356", "0.6458193", "0.6444917", "0.6438043", "0.6433447", "0.6433238", "0.6425059", "0.6421383", "0.6406733", "0.64020026", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095", "0.6391095" ]	0.0	-1
Added By Sunil Jangir \| Sep05	public synchronized WebElement lnk_writeareview() throws Exception { return utils.findElementByLocator(driver, "BV_WriteAReviewLink", "\| PDP:Write A Review link not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public final void mo51373a() {\n }", "@Override\n public void func_104112_b() {\n \n }", "protected boolean func_70814_o() { return true; }", "public void mo38117a() {\n }", "private static void cajas() {\n\t\t\n\t}", "@Override\n\tpublic void comer() {\n\t\t\n\t}", "@Override\r\n\tpublic void comer() \r\n\t{\n\t\t\r\n\t}", "@Override\n\tpublic void grabar() {\n\t\t\n\t}", "@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}", "@Override\r\n\tpublic void bicar() {\n\t\t\r\n\t}", "private void kk12() {\n\n\t}", "private void strin() {\n\n\t}", "public void mo12628c() {\n }", "public void mo4359a() {\n }", "@Override\n public void perish() {\n \n }", "@Override\n\tprotected void interr() {\n\t}", "public void gored() {\n\t\t\n\t}", "private void poetries() {\n\n\t}", "private void m50366E() {\n }", "protected boolean func_70041_e_() { return false; }", "@Override\r\n\tpublic void tires() {\n\t\t\r\n\t}", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "public void mo55254a() {\n }", "@Override\r\n\tprotected void func03() {\n\t\t\r\n\t}", "@Override\n\tpublic void entrenar() {\n\t\t\n\t}", "@Override\n\tpublic void ligar() {\n\t\t\n\t}", "@Override\n\tpublic void anular() {\n\n\t}", "@Override\r\n\tprotected void doF8() {\n\t\t\r\n\t}", "@Override\r\n\t\t\tpublic void func02() {\n\t\t\t\t\r\n\t\t\t}", "public void method_4270() {}", "@Override\r\n\tprotected void doF4() {\n\t\t\r\n\t}", "@Override\n\tpublic void nadar() {\n\t\t\n\t}", "@Override\n\tpublic void gravarBd() {\n\t\t\n\t}", "public void mo12930a() {\n }", "@Override\r\n\tpublic void dormir() {\n\t\t\r\n\t}", "@Override\r\n\t\t\tpublic void annadir() {\n\r\n\t\t\t}", "@Override\n\tpublic void sacrifier() {\n\t\t\n\t}", "public void mo55254a() {\n }", "public void mo9848a() {\n }", "private stendhal() {\n\t}", "@Override\n\tprotected void getExras() {\n\n\t}", "public void mo6081a() {\n }", "@Override\r\n\tpublic void rozmnozovat() {\n\t}", "public void mo21779D() {\n }", "protected void mo6255a() {\n }", "public void mo21877s() {\n }", "@Override\r\n\tprotected void doF6() {\n\t\t\r\n\t}", "public void mo115190b() {\n }", "@Override\r\n\tvoid func04() {\n\t\t\r\n\t}", "public void m23075a() {\n }", "public final void mo91715d() {\n }", "public void mo21825b() {\n }", "@Override\n\tpublic void nefesAl() {\n\n\t}", "public abstract void mo70713b();", "public void mo97908d() {\n }", "public void skystonePos4() {\n }", "public void mo21785J() {\n }", "public void mo21878t() {\n }", "@Override\n\tpublic void emprestimo() {\n\n\t}", "public void mo21794S() {\n }", "@Override\n\tpublic void jugar() {\n\t\t\n\t}", "public void mo21793R() {\n }", "@Override\n\tpublic void einkaufen() {\n\t}", "public void skystonePos6() {\n }", "@Override\r\n\t\t\tpublic void ayuda() {\n\r\n\t\t\t}", "public void mo3376r() {\n }", "public void mo21787L() {\n }", "public void mo1531a() {\n }", "static void feladat9() {\n\t}", "public void mo3749d() {\n }", "public void mo21791P() {\n }", "public void mo21782G() {\n }", "@Override\n\tpublic void nghe() {\n\n\t}", "public static void listing5_14() {\n }", "@Override\r\n\t\tpublic void init() {\n\t\t\t\r\n\t\t}", "public void Tyre() {\n\t\t\r\n\t}", "@Override\n\t\t\tpublic void ic() {\n\t\t\t\t\n\t\t\t}", "@Override\n\tpublic void init() {\n\t\t\n\t}", "@Override\n\tpublic void init() {\n\t\t\n\t}", "@Override\n\tpublic void init() {\n\t\t\n\t}", "@Override\n\tpublic void init() {\n\t\t\n\t}", "@Override\n\tpublic void init() {\n\t\t\n\t}", "public void baocun() {\n\t\t\n\t}", "public void mo23813b() {\n }", "@Override\r\n\tpublic void anularFact() {\n\t\t\r\n\t}", "public void mo21879u() {\n }", "@Override\n\tprotected void update() {\n\t\t\n\t}", "public void mo21783H() {\n }", "public void mo21795T() {\n }", "public abstract void mo56925d();", "private void m50367F() {\n }", "@Override\n\tpublic int mettreAJour() {\n\t\treturn 0;\n\t}", "private zza.zza()\n\t\t{\n\t\t}", "@Override\n protected void getExras() {\n }", "public abstract void mo27385c();", "public abstract void mo6549b();" ]	[ "0.6096046", "0.60722786", "0.60647887", "0.5973963", "0.5923885", "0.58909297", "0.5864787", "0.5845391", "0.58395123", "0.58395123", "0.5835482", "0.58350927", "0.5827172", "0.5816666", "0.5815232", "0.57660747", "0.575404", "0.5746728", "0.57320094", "0.5726927", "0.5723394", "0.57215923", "0.57215923", "0.57215923", "0.57215923", "0.57215923", "0.57215923", "0.57215923", "0.5706373", "0.5690393", "0.56887794", "0.5684471", "0.5682832", "0.5682169", "0.5664443", "0.5662428", "0.56615055", "0.5661312", "0.56530577", "0.5650644", "0.5615309", "0.5611948", "0.5600519", "0.55915827", "0.55851036", "0.55793285", "0.55554116", "0.55533516", "0.5547774", "0.55338633", "0.5531418", "0.55307615", "0.55231965", "0.5516676", "0.5508904", "0.5501291", "0.55001575", "0.54836255", "0.5480057", "0.54800546", "0.5479156", "0.54786974", "0.5473538", "0.54599977", "0.54553646", "0.54444677", "0.5439418", "0.5430618", "0.54288715", "0.5426421", "0.542445", "0.5418736", "0.5418401", "0.5410154", "0.5407083", "0.5406208", "0.54037255", "0.540173", "0.53986454", "0.5394251", "0.5393742", "0.5388225", "0.5386527", "0.5386527", "0.5386527", "0.5386527", "0.5386527", "0.53732836", "0.53646487", "0.53602725", "0.5351105", "0.53460145", "0.53340065", "0.5326538", "0.53212935", "0.53208715", "0.531553", "0.53080016", "0.53066397", "0.5302718", "0.52946603" ]	0.0	-1
Get the Product Detail Accordion Infomation div	public synchronized WebElement productInfomationAccordionDetail() throws Exception { return utils.findElementByLocator(driver, "PDP_ProductInfomationAccordionDetail", "\| PDP:Product Description Accordion Infomation div not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public synchronized WebElement ProductInfomationAccordionDescription() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductInfomationAccordionDescription\",\n\t\t\t\t\"\| PDP:Product Description Accordion not present\");\n\t}", "public synchronized WebElement ProductInfomationAccordionLabel() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductInfomationAccordionLabel\",\n\t\t\t\t\"\| PDP:Product Infomation Accordion Label not present\");\n\t}", "public String getCartDetailonProductDetailPage()\n\t{\n\t\twaitForVisibility(cartDetailonProductDetailPage);\n\t\treturn cartDetailonProductDetailPage.getText();\n\t}", "public String getfirstVolumeDiscountonProductDetailPage()\n\t{\n\t\twaitForVisibility(firstVolumeDiscountonProductDetailPage);\n\t\treturn firstVolumeDiscountonProductDetailPage.getText();\n\t}", "private JScrollPane getDetailScrollPane() {\n if (detailScrollPane == null) {\n detailScrollPane = new JScrollPane();\n detailScrollPane.setViewportView(getDetailPane());\n }\n return detailScrollPane;\n }", "public int getCurrentDetailView() {\n return currentDetailView;\n }", "public DisplayProductDetails getDisplayProductDetails(final Product product) {\n final DisplayProductDetails productDetails = new DisplayProductDetails();\n if (product != null) {\n // TODO Get product rating details from DB\n \tList<BreadCrumb> breadcrumbList = new LinkedList<BreadCrumb>();\n \t\n \tBreadCrumb breadcrumb1 = new BreadCrumb();\n \tbreadcrumb1.setDisplayText(product.getCategory().getParentCategory().getCategoryName());\n \tbreadcrumb1.setLinkUrl(\"category/\"+product.getCategory().getParentCategory().getCategoryPartNumber());\n \t\n \tBreadCrumb breadcrumb2 = new BreadCrumb();\n \tbreadcrumb2.setDisplayText(product.getCategory().getCategoryName());\n \tbreadcrumb2.setLinkUrl(\"category/\"+product.getCategory().getCategoryPartNumber());\n \t\n \tbreadcrumbList.add(breadcrumb1);\n \tbreadcrumbList.add(breadcrumb2);\n \t\n \tproductDetails.setBreadcrumb(breadcrumbList);\n \tproduct.getCategory().getParentCategory().getCategoryId();\n\n productDetails.setAverageProductRating(new BigDecimal(3));\n productDetails.setProductName(product.getProductName());\n productDetails.setProductId(product.getProductId());\n productDetails.setProductPartNumber(product.getProductPartNumber());\n // If product doesn't have a description use its category description.\n final String productDesc = (product.getProductDescription() != null && !product.getProductDescription().isEmpty()) ? product.getProductDescription()\n : product.getCategory().getDescription();\n productDetails.setProductDescription(productDesc);\n\n // Set the product image and image gallery details\n productDetails.setProductImageGallery(getDisplayProductGallery(product.getProductId()));\n\n // End of setting the product image gallery options .\n\n BigDecimal productPrice = null;\n String currencyCode = null;\n if (product.getProductPrice() != null) {\n productPrice = product.getProductPrice().getPrice();\n currencyCode = product.getProductPrice().getCurrency().getCurrencyCode();\n }\n productDetails.setProductPrice(productPrice);\n productDetails.setProductCurrency(currencyCode);\n // Set the product price options in other currencies .\n final List<ProductPriceOptions> priceOptionsList = getPriceOptionForProduct(product);\n productDetails.setProductPriceOptions(priceOptionsList);\n // End of setting the product price options in other currencies\n\n // Get the product availability info\n final String availability = product.isEnabled() ? ProductAvailability.INSTOCK.getStatusDescription()\n : ProductAvailability.OUTOFSTOCK.getStatusDescription();\n // End of setting the product availability info\n productDetails.setProductAvailablility(availability);\n\n // Get the product specifications\n productDetails.setProductSpecification(getDisplayProductSpecification(product.getProductSpecification()));\n\n }\n return productDetails;\n }", "public String getsecondVolumeDiscountonProductDetailPage()\n\t{\n\t\twaitForVisibility(secondVolumeDiscountonProductDetailPage);\n\t\treturn secondVolumeDiscountonProductDetailPage.getText();\n\t}", "public Container getInfoPanel() {\n\t\treturn null;\n\t}", "private JTextPane getDetailPane() {\n if (detailPane == null) {\n detailPane = new JTextPane();\n detailPane.setFont(new Font(\"Monospaced\", Font.PLAIN, 14));\n }\n return detailPane;\n }", "private Node createDetails ()\n {\n\n List<String> prefix = Arrays.asList (charts,sessionlength,labels);\n\n FlowPane b = new FlowPane ();\n b.getStyleClass ().add (StyleClassNames.DETAIL);\n\n return b;\n\n }", "@Override\n public void openDetail(@NonNull Product product) {\n mMainView.openDetailUi(product);\n }", "public TextView getDetailTextView() {\n return mDetail;\n }", "private Widget getInfo() {\n FocusPanel infoPanel = new FocusPanel();\n infoPanel.setStyleName(\"elv-Molecules-InfoPanel\");\n HorizontalPanel content = new HorizontalPanel();\n try{\n Image img = new Image(ReactomeImages.INSTANCE.information());\n String helpTitle = \"Info\";\n HTMLPanel helpContent = new HTMLPanel(\n \"The molecules tab shows you all the molecules of a complete pathway diagram.\\n\" +\n \"Molecules are grouped in Chemical Compounds, Proteins, Sequences and Others.\\n\" +\n \"The molecules of a selected object appear highlighted in the molecules lists;\\n\" +\n \"a molecule selected in the list will be highlighted in the diagram.\\n\" +\n \"For each molecule you can see a symbol, a link to the main reference DB, a name and the number of\\n\" +\n \"occurrences in the pathway. Clicking on the symbol several times will allow you to circle through\\n\" +\n \"all its occurrences in the diagram.\\n\" +\n \"Expanding by clicking on the '+' will provide you with further external links.\\n\" +\n \"Lists can be downloaded. Just click on the button in the top right\\n\" +\n \"corner, select the fields and types you are interested in and click 'Start Download'.\");\n\n content.add(img);\n popup = new HelpPopup(helpTitle, helpContent);\n infoPanel.addMouseOverHandler(this);\n infoPanel.addMouseOutHandler(this);\n infoPanel.getElement().getStyle().setProperty(\"cursor\", \"help\");\n }catch (Exception e){\n// e.printStackTrace();\n Console.error(getClass() + \": \" + e.getMessage());\n //ToDo: Enough?\n }\n HTMLPanel title = new HTMLPanel(\"Info\");\n title.getElement().getStyle().setMarginLeft(10, Style.Unit.PX);\n content.add(title);\n\n infoPanel.add(content.asWidget());\n\n return infoPanel;\n }", "public String getDetailsData()\n {\n WebElement element = driver.findElement(By.xpath(\"//app-hero-detail[1]/div[1]/h2[1]\"));\n return element.getText();\n }", "Object getViewDetails();", "@Override\n public void loadDetailProductData() {\n mDetailPresenter.loadDetailProductData();\n }", "public ProductContainer getProductContainer(Product p);", "public JPanel getInfo() {\n return info;\n }", "public void clickDescriptionTab() {\r\n\t\t\r\n\t\tString xpath = \"//div[contains(@class,\"+PURCHASING_PRODUCT_WINDOW_CLASS+\")]//span[text()='Description']\";\r\n\t\t\r\n\t\tWebDriverWait wait = new WebDriverWait(driver,20);\r\n\t\twait.until(ExpectedConditions.elementToBeClickable(By.xpath(xpath)));\r\n\t\t\r\n\t\tMcsElement.getElementByAttributeValueAndParentElement(driver, \"div\",\r\n\t\t\t\t\"@class\", PURCHASING_PRODUCT_WINDOW_CLASS, \"span\", \"text()\",\r\n\t\t\t\t\"Description\", true, true).click();\r\n\r\n\t}", "@Override\n\tpublic void getDetail() {\n\t\t\n\t}", "public synchronized WebElement fabricCareAccordionLabel() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_FabricInfoLabel\",\n\t\t\t\t\"\| PDP:Fabric Label Accordion Infomation div not present\");\n\t}", "private Card init_chart_detail_card() {\n\t\t\n\t\tDetailPartyChart card = new DetailPartyChart(getActivity());\n\t\t\n\t\tCardExpand expand = new CardExpand(getActivity());\n\t\tcard.addCardExpand(expand);\n\t\tcard.setBackgroundResource(getResources().getDrawable(R.drawable.card_back));\n\t\treturn card;\n\t}", "@Override\r\n\tpublic String detail() {\n\t\tSystem.out.println(\"detailView.\");\r\n\t\t//javax.servlet.http.HttpSession session=request.getSession();\r\n\t\t//javax.servlet.ServletContext application=request.getServletContext();\r\n\t\t\r\n\t\t//String vId=request.getParameter(\"id\");\r\n\t\tif(!SysFun.isNullOrEmpty(id)) {\r\n\t\t\tLong iId=SysFun.parseLong(id);\r\n\t\t\tHeadLine bean=headLineService.load(iId);\r\n\t\t\tif(bean!=null) {\r\n\t\t\t\trequest.put(\"bean\", bean);\r\n\t\t\t\treturn \"detail\";\r\n\t\t\t\t\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn \"detail\";\r\n\t}", "com.gw.ps.pbbean.PbNewsRes.NewsIndResDetail getNewsindentifydetail(int index);", "public void showItemDetails() {\n if (mShowingDetails == STATE_ITEM_DETAIL_NOT_SHOW) {\n mItemDetailsLinearLayout = new ItemDetailLinearLayout(mContext);\n }\n else {\n return;\n }\n\n // Step 1\n LayoutParams layoutParams = new LayoutParams(mPopItemDetailWidth, mPopItemDetailHeight);\n layoutParams.addRule(CENTER_HORIZONTAL);\n layoutParams.setMargins(0, mPopViewTopMargin - (mPopItemDetailHeight - mPopItemHeight) / 2, 0, 0);\n mItemDetailsLinearLayout.setLayoutParams(layoutParams);\n mItemDetailsLinearLayout.setBackgroundColor(ContextCompat.getColor(mContext, DEFAULT_DETAILS_COLOR_RES_ID));\n\n PropertyValuesHolder stretchVH = PropertyValuesHolder.ofFloat(\"scaleY\", ((float) mPopItemZoomInHeight) / mPopItemDetailHeight, 1f);\n PropertyValuesHolder elevateVH;\n Animator animator;\n if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.LOLLIPOP) {\n elevateVH = PropertyValuesHolder.ofInt(\"Elevation\", 0, 40);\n animator = ObjectAnimator.ofPropertyValuesHolder(mItemDetailsLinearLayout, stretchVH, elevateVH);\n } else {\n animator = ObjectAnimator.ofPropertyValuesHolder(mItemDetailsLinearLayout, stretchVH);\n }\n\n animator.setDuration(300);\n LayoutTransition layoutTransition = new LayoutTransition();\n layoutTransition.setAnimator(LayoutTransition.APPEARING, animator);\n layoutTransition.addTransitionListener(new LayoutTransition.TransitionListener() {\n @Override\n public void startTransition(LayoutTransition transition, ViewGroup container, View view, int transitionType) {\n mMainThreadBusyState = MAIN_THREAD_STATE_BUSY;\n }\n\n @Override\n public void endTransition(LayoutTransition transition, ViewGroup container, View view, int transitionType) {\n mMainThreadBusyState = MAIN_THREAD_STATE_IDLE;\n }\n });\n setLayoutTransition(layoutTransition);\n\n // step 2\n addView(mItemDetailsLinearLayout);\n View detailContentView = mItemDetailsLinearLayout.getChildAt(0);\n if (detailContentView != null) {\n ValueAnimator detailAppearAnim = ObjectAnimator.ofFloat(detailContentView, \"alpha\", 0f, 1f);\n detailAppearAnim.setStartDelay(300);\n detailAppearAnim.setDuration(300).start();\n mShowingDetails = STATE_ITEM_DETAIL_SHOW;\n }\n }", "public synchronized void click_productInfomationAccordianLabel() throws Exception {\n\t\tutils.clickWebElement(driver, ProductInfomationAccordionLabel(),\n\t\t\t\t\"Product Infomation Accordion Label not found\");\n\n\t}", "protected String getDivClassName() {\n\t\treturn getDocPart().getName();\n\t}", "public Long getContentFrameworkDetailId() {\n return contentFrameworkDetailId;\n }", "public WebElement headerDiv() {\r\n return driver.findElement(By.id(\"header\"));\r\n }", "int getNewsindentifydetailCount();", "public InfoView getInfoView() {\r\n return infoPanel;\r\n }", "public int getNewsindentifydetailCount() {\n return newsindentifydetail_.size();\n }", "public com.gw.ps.pbbean.PbNewsRes.NewsIndResDetail getNewsindentifydetail(int index) {\n return newsindentifydetail_.get(index);\n }", "public int getNewsindentifydetailCount() {\n return newsindentifydetail_.size();\n }", "public com.gw.ps.pbbean.PbNewsRes.NewsIndResDetail getNewsindentifydetail(int index) {\n return newsindentifydetail_.get(index);\n }", "public KIDSComponentDetailsJScrollPane (final JList<KIDSUIComponent> individualsJList){\n\t\t\tfinal DefaultMutableTreeNode root = new DefaultMutableTreeNode(\"Details:\");\n\t\t\tfinal JTree detailJTree = new JTree(root);\n\t\t\t\n\t\t\tdetailJTree.addTreeExpansionListener(new TreeExpansionListener() {\n\n\t\t\t\t@Override\n\t\t\t\tpublic void treeCollapsed(TreeExpansionEvent arg0) {\n\t\t\t\t\t// No need to process.\n\t\t\t\t}\n\n\t\t\t\t@Override\n\t\t\t\tpublic void treeExpanded(TreeExpansionEvent arg0) {\n\t\t\t\t\t// Repaint parent window:\n\t\t\t\t\tKIDSComponentDetailsJScrollPane.this.repaint();\n\t\t\t\t}\n\n\t\t\t}\n\t\t\t);\n\n\t\t\t\n\t\t\tindividualsJList.addMouseListener(new MouseAdapter() {\n\t\t\t\t@Override\n\t\t\t\tpublic void mousePressed(MouseEvent e){\n\t\t\t\t\tlogme.debug(\"Processing mouse pressed event for details tree...\");\n\t\t\t\t\troot.removeAllChildren();\n\t\t\t\t\tif (!individualsJList.isSelectionEmpty()){\n\t\t\t\t\t\tKIDSUIComponent selected = individualsJList.getSelectedValue();\n\t\t\t\t\t\tselected.getComponentDetails(root);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t\n\t\t\t});\n\t\t\tthis.setViewportView(detailJTree);\n\t\t}", "public String extractHomeView() {\n return (new StringBuilder()\n .append(\"<a href=\\\"/products/details/\" + this.getId() + \"\\\" class=\\\"col-md-2\\\">\")\n .append(\"<div class=\\\"product p-1 chushka-bg-color rounded-top rounded-bottom\\\">\")\n .append(\"<h5 class=\\\"text-center mt-3\\\">\" + this.getName() + \"</h5>\")\n .append(\"<hr class=\\\"hr-1 bg-white\\\"/>\")\n .append(\"<p class=\\\"text-white text-center\\\">\")\n .append(this.getDescription())\n .append(\"</p>\")\n .append(\"<hr class=\\\"hr-1 bg-white\\\"/>\")\n .append(\"<h6 class=\\\"text-center text-white mb-3\\\">$\" + this.getPrice() + \"</h6>\")\n .append(\"</div>\")\n .append(\"</a>\")\n ).toString();\n }", "public java.util.List<com.gw.ps.pbbean.PbNewsRes.NewsIndResDetail> getNewsindentifydetailList() {\n return newsindentifydetail_;\n }", "private Widget buildElementWithVSACExpansionIdentifier() {\r\n VerticalPanel mainPanel = new VerticalPanel();\r\n mainPanel.getElement().setId(\"mainPanel_VerticalPanel\");\r\n mainPanel.setWidth(\"95%\");\r\n//\t\tmainPanel.add(buildDefaultExpIdentifierPanel());\r\n mainPanel.add(new SpacerWidget());\r\n mainPanel.add(new SpacerWidget());\r\n return mainPanel;\r\n }", "boolean hasDetailPlacementView();", "public ProductInfo getProductInfo(Element element) {\n ProductInfo productInfo=new ProductInfo();\n Element tmp;\n\n productInfo.setProductId(\n element.attr(\"data-pid\")\n );\n\n tmp=element.select(\"span.score\").first();\n if(tmp!=null)\n productInfo.setProductScore(\n Double.parseDouble(\n element.select(\"span.score\").first().text().replace(\",\",\".\")\n )\n );\n else\n productInfo.setProductScore(0);\n\n String urlI=element.select(\"img[data-src]\").first().attr(\"data-src\");\n productInfo.setProductImageUrl(\n urlI\n );\n\n try {\n urlI = urlI.split(\"/\")[5];\n }\n catch (Exception e){\n urlI=null;\n }\n\n if(urlI!=null)\n productInfo.setProductUrl(\n url + \"/\" +urlI\n );\n\n else\n\n productInfo.setProductUrl(\n element.select(\"a[href]\").first().attr(\"href\")\n );\n\n\n productInfo.setProductName(\n element.select(\"div.list-prod-name\").first().text()\n );\n\n productInfo.setProductBottom(\n Double.parseDouble(\n element.select(\"span.price-int\").first().text()+\n element.select(\"span.price-fraction\").first().text().replace(\",\",\".\")\n )\n );\n\n try{\n productInfo.setProductCategory(\n element.select(\".subcat-type-icon\").first().select(\"img\").first().attr(\"alt\")\n );\n }\n catch (Exception e){\n e.printStackTrace();\n productInfo.setProductCategory(\"Brak\");\n }\n\n\n productInfo.setStocks(\n element.select(\".listing-shops-number\").first().text()\n );\n\n return productInfo;\n }", "public CardLayout getCl() {\n\t\treturn cl;\n\t}", "private void showImageDetail() {\n }", "public void viewOrderDetails(){\n\t\tlibManhattanCommonFunctions.clickAnyElement(getPageElement(\"StatisticsTab\"), \"StatisticsTab\");\n\t\tlibManhattanCommonFunctions.clickAnyElement(getPageElement(\"OrdersTab\"), \"OrdersTab\");\n\t\tlibManhattanCommonFunctions.clickAnyElement(getPageElement(\"BtnOrderDetails\"), \"Order Details Button\");\t\n\t}", "@Test\n public void getProductDetailTest() throws ApiException {\n String productId = null;\n \n ResponseBankingProductById response = api.getProductDetail( productId );\n response.toString();\n // TODO: test validations\n }", "public Number getDetailId() {\n return (Number)getAttributeInternal(DETAILID);\n }", "@Test\n public void getProductDetailTest() throws ApiException {\n String productId = null;\n ResponseBankingProduct response = api.getProductDetail(productId);\n\n // TODO: test validations\n }", "public static BorderPane getBuildingInfoBP(Accordion ac) {\n screenBounds = Screen.getPrimary().getBounds();\n\n //Reset TableView tableBuilding\n tableBuilding = new TableView<>();\n tableBuilding.getColumns().clear();\n tableBuilding.setEditable(true);\n\n // Table of Buildings with Info\n // Pane Center\n TableColumn<Building, Long> idCol = new TableColumn<>(\"id\");\n idCol.setMinWidth(100);\n idCol.setCellValueFactory(new PropertyValueFactory<>(\"id\"));\n idCol.getStyleClass().setAll(\"first-col\");\n\n TableColumn<Building, String> buildingCol = new TableColumn<>(\"Building Name\");\n buildingCol.setMinWidth(100);\n buildingCol.setCellValueFactory(new PropertyValueFactory<>(\"name\"));\n buildingCol.setCellFactory(TextFieldTableCell.forTableColumn());\n buildingCol.setOnEditCommit((TableColumn.CellEditEvent<Building, String> t) ->\n t.getTableView().getItems().get(t.getTablePosition().getRow()).setName(t.getNewValue()));\n\n TableColumn<Building, LocalTime> openTimeCol = new TableColumn<>(\"Open Time\");\n openTimeCol.setMinWidth(100);\n openTimeCol.setCellValueFactory(new PropertyValueFactory<>(\"openTime\"));\n openTimeCol.setCellFactory(TextFieldTableCell.forTableColumn(new TimeToStringConverter()));\n openTimeCol.setOnEditCommit((TableColumn.CellEditEvent<Building, LocalTime> t) ->\n t.getTableView().getItems().get(t.getTablePosition().getRow()).setOpenTime(t.getNewValue()));\n\n TableColumn<Building, LocalTime> closeTimeCol = new TableColumn<>(\"Close Time\");\n closeTimeCol.setMinWidth(100);\n closeTimeCol.setCellValueFactory(new PropertyValueFactory<>(\"closeTime\"));\n closeTimeCol.setCellFactory((TextFieldTableCell.forTableColumn(new TimeToStringConverter())));\n closeTimeCol.setOnEditCommit((TableColumn.CellEditEvent<Building, LocalTime> t) ->\n t.getTableView().getItems().get(t.getTablePosition().getRow()).setCloseTime(t.getNewValue()));\n\n TableColumn<Building, String> streetNameCol = new TableColumn<>(\"Street Name\");\n streetNameCol.setMinWidth(100);\n streetNameCol.setCellValueFactory(new PropertyValueFactory<>(\"streetName\"));\n streetNameCol.setCellFactory(TextFieldTableCell.forTableColumn());\n streetNameCol.setOnEditCommit(\n (TableColumn.CellEditEvent<Building, String> t) ->\n t.getTableView().getItems().get(t.getTablePosition().getRow()).setStreetName(t.getNewValue()));\n\n TableColumn<Building, String> streetNumCol = new TableColumn<>(\"Street Number\");\n streetNumCol.setMinWidth(100);\n streetNumCol.setCellValueFactory(new PropertyValueFactory<>(\"streetNumber\"));\n streetNumCol.setCellFactory(TextFieldTableCell.forTableColumn());\n streetNumCol.setOnEditCommit(\n (TableColumn.CellEditEvent<Building, String> t) -> t.getTableView().getItems().get(\n t.getTablePosition().getRow()).setStreetNumber(t.getNewValue()));\n\n TableColumn<Building, String> zipCodeCol = new TableColumn<>(\"Zip Code\");\n zipCodeCol.setMinWidth(100);\n zipCodeCol.setCellValueFactory(new PropertyValueFactory<>(\"zipCode\"));\n zipCodeCol.setCellFactory(TextFieldTableCell.forTableColumn());\n zipCodeCol.setOnEditCommit(\n (TableColumn.CellEditEvent<Building, String> t) -> t.getTableView().getItems().get(\n t.getTablePosition().getRow()).setZipCode(t.getNewValue()));\n\n TableColumn<Building, String> cityCol = new TableColumn<>(\"City\");\n cityCol.setMinWidth(100);\n cityCol.setCellValueFactory(new PropertyValueFactory<>(\"City\"));\n cityCol.setCellFactory(TextFieldTableCell.forTableColumn());\n cityCol.setOnEditCommit(\n (TableColumn.CellEditEvent<Building, String> t) -> t.getTableView().getItems().get(\n t.getTablePosition().getRow()).setCity(t.getNewValue()));\n cityCol.getStyleClass().setAll(\"last-col\");\n\n buildingData = FXCollections.observableList(BuildingCommunication.getBuildings());\n tableBuilding.setItems(buildingData);\n tableBuilding.getColumns().addAll(idCol, buildingCol, openTimeCol, closeTimeCol, streetNameCol, streetNumCol, zipCodeCol, cityCol);\n\n HBox hboxBottom = new HBox();\n hboxBottom.setPadding(new Insets(20, 20, 20, 0));\n hboxBottom.getChildren().setAll(deleteInfoButton, updateInfoButton);\n\n // VBox to add a new building\n // Pane Right\n Text buildingName = new Text(\"Building Name\");\n Text openTime = new Text(\"Open Time\");\n Text closeTime = new Text(\"Close Time\");\n Text streetName = new Text(\"Street Name\");\n Text streetNumber = new Text(\"Street Number\");\n Text zipCode = new Text(\"Zip Code\");\n Text city = new Text(\"City\");\n\n\n ObservableList<LocalTime> time = generateTime();\n TextField buildingNameInput = new TextField();\n ComboBox<LocalTime> openTimeInput = new ComboBox<>();\n openTimeInput.setItems(time);\n ComboBox<LocalTime> closeTimeInput = new ComboBox<>();\n closeTimeInput.setItems(time);\n TextField streetNameInput = new TextField();\n TextField streetNumberInput = new TextField();\n TextField zipCodeInput = new TextField();\n TextField cityInput = new TextField();\n\n Button addButtonBuilding = new Button(\"Add Building\");\n\n VBox vboxRight = new VBox(5);\n vboxRight.getChildren().addAll(buildingName, buildingNameInput, openTime, openTimeInput,\n closeTime, closeTimeInput, streetName, streetNameInput, streetNumber, streetNumberInput,\n zipCode, zipCodeInput, city, cityInput, addButtonBuilding);\n\n // Delete Button\n deleteInfoButton.setOnAction(e -> {\n try {\n deleteBuildingButtonClicked();\n } catch (Exception ex) {\n ex.printStackTrace();\n }\n });\n\n // Update Button\n updateInfoButton.setOnAction(e -> {\n try {\n updateBuildingButtonClicked();\n AdminSceneController.loadBuildingTP(ac);\n ac.setExpandedPane(AdminSceneController.buildingTP);\n } catch (Exception ex) {\n ex.printStackTrace();\n }\n });\n\n // Add Button\n addButtonBuilding.setOnAction(e -> {\n String buildingNameInputText = buildingNameInput.getText();\n String openTimeInputText = openTimeInput.getValue().toString();\n String closeTimeInputText = closeTimeInput.getValue().toString();\n String streetNameInputText = streetNameInput.getText();\n String streetNumberInputText = streetNumberInput.getText();\n String zipCodeInputText = zipCodeInput.getText();\n String cityInputText = cityInput.getText();\n\n Alert alert = new Alert(Alert.AlertType.INFORMATION);\n alert.setTitle(\"Information Dialog\");\n alert.setHeaderText(null);\n String success = BuildingCommunication.addBuilding(buildingNameInputText, LocalTime.parse(openTimeInputText), LocalTime.parse(closeTimeInputText),\n streetNameInputText, streetNumberInputText, zipCodeInputText, cityInputText);\n if (success.equals(\"Successful\")) {\n alert.hide();\n } else {\n alert.setContentText(success);\n alert.showAndWait();\n }\n\n buildingNameInput.setText(null);\n openTimeInput.setValue(null);\n closeTimeInput.setValue(null);\n streetNameInput.setText(null);\n streetNumberInput.setText(null);\n zipCodeInput.setText(null);\n cityInput.setText(null);\n AdminSceneController.loadBuildingTP(ac);\n ac.setExpandedPane(AdminSceneController.buildingTP);\n });\n\n tableBuilding.setColumnResizePolicy(TableView.CONSTRAINED_RESIZE_POLICY);\n\n tableBuilding.getStyleClass().add(\"center\");\n hboxBottom.getStyleClass().add(\"bottom\");\n vboxRight.getStyleClass().add(\"right\");\n addButtonBuilding.getStyleClass().setAll(\"restaurant-menu-button\");\n deleteInfoButton.getStyleClass().setAll(\"restaurant-menu-button\");\n updateInfoButton.getStyleClass().setAll(\"restaurant-menu-button\");\n deleteTimeButton.getStyleClass().setAll(\"restaurant-menu-button\");\n updateTimeButton.getStyleClass().setAll(\"restaurant-menu-button\");\n\n // All elements in BorderPane\n BorderPane borderPane = new BorderPane();\n borderPane.getStyleClass().add(\"admin-border-pane\");\n borderPane.setCenter(tableBuilding);\n borderPane.setRight(vboxRight);\n borderPane.setBottom(hboxBottom);\n\n return borderPane;\n }", "public JPanel getCurrentPanel(){\n JPanel card = null;\n for (Component comp : contentPane.getComponents()) {\n if (comp.isVisible() == true) {\n return card;\n }\n }\n return null;\n }", "public java.util.List<com.gw.ps.pbbean.PbNewsRes.NewsIndResDetail> getNewsindentifydetailList() {\n return java.util.Collections.unmodifiableList(newsindentifydetail_);\n }", "public CardLayout getCl() {\n\t\tif(cl==null){\n\t\t\tcl = new CardLayout();\n\t\t}\n\t\treturn cl;\n\t}", "public String getDetail_id() {\n return detail_id;\n }", "@Override\n public Div getContentDiv()\n {\n if (contentDiv == null)\n {\n setContentDiv(new Div());\n }\n return contentDiv;\n }", "private JSplitPane getResultPane() {\n if (resultPane == null) {\n resultPane = new JSplitPane();\n resultPane.setLeftComponent(getSummaryPanel());\n resultPane.setRightComponent(getDetailScrollPane());\n }\n return resultPane;\n }", "private Link lnkViewDetails(final String productName) {\n return new Link(\n \"//span[@class='subhedcsb' and contains(., '\"\n + productName.trim() + \"')]/../following-sibling::td[3]//a\");\n }", "public String getDetail() {\r\n return detail;\r\n }", "public String getDetail() {\r\n return detail;\r\n }", "public HTMLDivElement getElementDivConsulta() { return this.$element_DivConsulta; }", "public HTMLDivElement getElementDivConsulta() { return this.$element_DivConsulta; }", "public HTMLDivElement getElementDivTableroControl() { return this.$element_DivTableroControl; }", "public String getDetail()\n {\n return detail;\n }", "public void showDetails(boolean animated) {\n\n flushAnimations();\n\n detailsUp = true;\n\n if (detailsBar == null) {\n detailsBar = actionBar.createContextMode(detailsListener);\n detailsBar.setDoneResource(R.drawable.ic_action_done_dark);\n detailsBar.setSeparatorVisible(false);\n detailsBar.setTextColor(getResources().getColor(R.color.DashboardText));\n\n if (phoneUI) {\n detailsBar.setBackgroundColor(getResources().getColor(R.color.GradientStart));\n }\n else {\n detailsBar.setBackgroundResource(R.drawable.actionbar_background_round);\n }\n\n detailsBar.start();\n\n detailsBar.setTitleAnimated(getString(R.string.Details), 1);\n }\n\n final ScrollView DetailScroller = new ScrollView(getActivity());\n DetailScroller.setClipChildren(false);\n\n RelativeLayout.LayoutParams params = new RelativeLayout.LayoutParams(ViewGroup.LayoutParams.MATCH_PARENT, ViewGroup.LayoutParams.MATCH_PARENT);\n params.addRule(RelativeLayout.BELOW, R.id.ScrapWindowActionBar);\n params.addRule(RelativeLayout.ABOVE, R.id.ScrapTotal);\n\n PanelBuilder builder = new PanelBuilder(activity)\n .setTitleSetting(DetailLabels[0], DetailLabelTypes[0], DetailIDs[0]);\n\n if (!phoneUI) {\n builder.setTitleWidth((int) (144 * metrics.density + 0.5f));\n }\n\n for (int i = 1; i < DetailCount; i++) {\n builder.addSetting(DetailLabels[i], DetailLabelTypes[i], DetailIDs[i]);\n }\n\n FrameLayout panel = builder.build();\n panel.setClipChildren(false);\n\n SpannableStringBuilder date = new SpannableStringBuilder();\n date.append(Integer.toString(dataSet.date.get(Calendar.DATE))).append(\" \").append(dataSet.date.getDisplayName(Calendar.MONTH, Calendar.SHORT, Locale.getDefault()));\n Utils.appendWithSpan(date, \" \" + dataSet.date.get(Calendar.YEAR), Receipt.textLightSpan());\n ((TextView) panel.findViewById(DetailIDs[0])).setText(date);\n $(panel, \"#\" + DetailIDs[0]).click(DatePickerClickListener);\n\n date = new SpannableStringBuilder();\n date.append(Integer.toString(dataSet.date.get(Calendar.HOUR_OF_DAY))).append(\":\").append(Integer.toString(dataSet.date.get(Calendar.MINUTE)));\n Utils.appendWithSpan(date, \":\" + dataSet.date.get(Calendar.SECOND), Receipt.titleLightSpan());\n ((TextView) panel.findViewById(R.id.CheckoutTime)).setText(date);\n\n ((TextView) panel.findViewById(R.id.ItemCount)).setText(Long.toString(dataSet.details[DetailItemCount]));\n if (dataSet.details[DetailBudget] < Long.MAX_VALUE) {\n ((TextView) panel.findViewById(R.id.BudgetAssigned)).setText(ReceiptActivity.longToFormattedString(dataSet.details[DetailBudget], Receipt.textLightSpan()));\n ((TextView) panel.findViewById(R.id.BudgetRemaining)).setText(ReceiptActivity.longToFormattedString(dataSet.details[DetailRemainingBudget], Receipt.textLightSpan()));\n }\n else {\n ((TextView) panel.findViewById(R.id.BudgetAssigned)).setText(Utils.appendWithSpan(new SpannableStringBuilder(), getString(R.string.BudgetUnlimited), Receipt.textLightSpan()));\n ((TextView) panel.findViewById(R.id.BudgetRemaining)).setText(Utils.appendWithSpan(new SpannableStringBuilder(), getString(R.string.BudgetUnlimited), Receipt.textLightSpan()));\n }\n ((TextView) panel.findViewById(R.id.Tax)).setText(ReceiptActivity.longToFormattedString(dataSet.details[DetailTax], Receipt.textLightSpan()));\n ((TextView) panel.findViewById(R.id.Subtotal)).setText(ReceiptActivity.longToFormattedString(dataSet.details[DetailSubtotal], Receipt.textLightSpan()));\n\n panelLayout = new LinearLayout(activity);\n panelLayout.setGravity(Gravity.CENTER);\n\n panelLayout.addView(DetailScroller, new ViewGroup.LayoutParams(ViewGroup.LayoutParams.MATCH_PARENT, ViewGroup.LayoutParams.WRAP_CONTENT));\n panelLayout.setClipChildren(false);\n\n final View TotalSeparator = viewer.findViewById(R.id.TotalSeparator);\n final View ActionBarSeparator = viewer.findViewById(R.id.ActionBarSeparator);\n\n DetailScroller.addView(panel);\n DetailScroller.addOnLayoutChangeListener(new View.OnLayoutChangeListener() {\n @Override\n public void onLayoutChange(View view, int i, int i2, int i3, int i4, int i5, int i6, int i7, int i8) {\n if (DetailScroller.getHeight() >= ((View) DetailScroller.getParent()).getHeight()) {\n TotalSeparator.setVisibility(View.VISIBLE);\n ActionBarSeparator.setVisibility(View.VISIBLE);\n } else {\n TotalSeparator.setVisibility(View.INVISIBLE);\n ActionBarSeparator.setVisibility(View.INVISIBLE);\n }\n }\n });\n\n container.addView(panelLayout, params);\n\n if (animated && !USE_VIEWPROXY_ANIMATIONS) {\n collection.freeze();\n collection.setLayerType(View.LAYER_TYPE_HARDWARE, null);\n collection.buildLayer();\n\n ((View) headerTitle.getParent()).setLayerType(View.LAYER_TYPE_HARDWARE, null);\n ((View) headerTitle.getParent()).buildLayer();\n\n DetailScroller.setTranslationY(-96 * metrics.density);\n DetailScroller.setAlpha(0f);\n DetailScroller.setLayerType(View.LAYER_TYPE_HARDWARE, null);\n DetailScroller.setVerticalScrollBarEnabled(false);\n DetailScroller.setOverScrollMode(View.OVER_SCROLL_NEVER);\n DetailScroller.setWillNotDraw(true);\n\n final ValueAnimator animator = ValueAnimator.ofFloat(0f, 1f);\n animator.addUpdateListener(new ValueAnimator.AnimatorUpdateListener() {\n @Override\n public void onAnimationUpdate(ValueAnimator valueAnimator) {\n float fraction = valueAnimator.getAnimatedFraction();\n\n collection.setTranslationY(Utils.interpolateValues(fraction, 0f, 128 * metrics.density));\n collection.setAlpha(1 - fraction);\n\n ((View) headerTitle.getParent()).setTranslationY(Utils.interpolateValues(fraction, 0f, 128 * metrics.density));\n ((View) headerTitle.getParent()).setAlpha(1 - fraction);\n\n DetailScroller.setAlpha(fraction);\n DetailScroller.setTranslationY(Utils.interpolateValues(fraction, -96 * metrics.density, 0f));\n }\n });\n animator.addListener(new AnimatorListenerAdapter() {\n @Override\n public void onAnimationEnd(Animator animation) {\n animations.remove(animation);\n ((View) headerTitle.getParent()).setVisibility(View.INVISIBLE);\n ((View) headerTitle.getParent()).setLayerType(View.LAYER_TYPE_NONE, null);\n collection.setVisibility(View.INVISIBLE);\n collection.thaw();\n collection.setLayerType(View.LAYER_TYPE_NONE, null);\n\n DetailScroller.setLayerType(View.LAYER_TYPE_NONE, null);\n DetailScroller.setVerticalScrollBarEnabled(true);\n DetailScroller.setOverScrollMode(View.OVER_SCROLL_IF_CONTENT_SCROLLS);\n DetailScroller.setWillNotDraw(false);\n\n if (currentExpander != null) {\n currentExpander.destroy();\n }\n }\n });\n animator.setDuration(300);\n animator.setInterpolator(new Utils.FrictionInterpolator(1.5f));\n pendingAnimations.add(new Runnable() {\n @Override\n public void run() {\n pendingAnimations.remove(this);\n\n animator.start();\n animations.add(animator);\n }\n });\n handler.post(pendingAnimations.get(pendingAnimations.size() - 1));\n }\n else if (animated && USE_VIEWPROXY_ANIMATIONS) {\n\n $.bind(activity);\n\n $.finishQueue(\"detailsQueue\", true);\n\n ((ViewGroup) collection.getChildAt(0)).setClipChildren(false);\n $ outgoing = $(R.id.ScrapHeader).add(collection.visibleViews()).reverse();\n\n outgoing.animate()\n .property($.TranslateY, $.dp(DetailDisplacementDistanceDP), $.Op.Add)\n .property($.Opacity, 0)\n .layer(true)\n .duration(DetailAnimationDuration)\n .interpolator(new Utils.FrictionInterpolator(1.5f))\n .stride(DetailSpread / outgoing.length())\n .complete(new $.AnimationCallback() {\n @Override\n public void run($ collection) {\n HistoryViewerFragment.this.collection.setVisibility(View.INVISIBLE);\n $(R.id.ScrapHeader).visibility($.Invisible);\n collection.property($.Opacity, 1).property($.TranslateY, 0);\n }\n })\n .start(\"detailsQueue\");\n\n final $ Incoming = $(DetailScroller.getChildAt(0)).children();\n Incoming.each(new $.Each() {\n int i = 0;\n int row = Incoming.length();\n int stride = DetailSpread / Incoming.length();\n\n @Override\n public void run(View view, int index) {\n $ wrapper = $(view);\n\n wrapper.property($.Opacity, 0)\n .property($.TranslateY, $.dp(-DetailDisplacementDistanceDP), $.Op.Add)\n .animate()\n .property($.Opacity, 1)\n .property($.TranslateY, $.dp(DetailDisplacementDistanceDP), $.Op.Add)\n .layer(true)\n .duration(DetailAnimationDuration)\n .delay(stride * row)\n .interpolator(new Utils.FrictionInterpolator(1.5f))\n .start(\"detailsQueue\");\n\n i++;\n if (i == 2) {\n i = 0;\n row --;\n }\n }\n });\n\n $.unbind();\n\n }\n else {\n collection.setVisibility(View.INVISIBLE);\n ((View) headerTitle.getParent()).setVisibility(View.INVISIBLE);\n }\n\n }", "public String getDetail() {\n return detail;\n }", "public String getDetail() {\n return detail;\n }", "public String getDetail() {\n return detail;\n }", "public String getDetail() {\n return detail;\n }", "private JPanel getSummaryPanel() {\n if (summaryPanel == null) {\n summaryPanel = new JPanel();\n summaryPanel.setLayout(new BorderLayout());\n summaryPanel.setMinimumSize(new Dimension(150, 100));\n summaryPanel.add(getSummaryTreeScrollPane(), BorderLayout.CENTER);\n summaryPanel.add(getDiffExecutePanel(), BorderLayout.NORTH);\n }\n return summaryPanel;\n }", "protected NodePart getHelmetMoreDetails() {\n\t\treturn instance.nodes.get(0).parts.get(0);\n\t}", "public void hideDetails () {\n\t\tdetailDisplay.show(\"empty\");\n\t}", "private JPanel getPanelInfo() {\n\t\tif (panelInfo == null) {\n\t\t\tGridBagConstraints gridBagConstraints7 = new GridBagConstraints();\n\t\t\tgridBagConstraints7.fill = GridBagConstraints.BOTH;\n\t\t\tgridBagConstraints7.gridx = 0;\n\t\t\tgridBagConstraints7.gridy = 2;\n\t\t\tgridBagConstraints7.ipadx = 358;\n\t\t\tgridBagConstraints7.ipady = 7;\n\t\t\tgridBagConstraints7.weightx = 1.0;\n\t\t\tgridBagConstraints7.weighty = 1.0;\n\t\t\tgridBagConstraints7.insets = new Insets(0, 26, 1, 26);\n\t\t\tGridBagConstraints gridBagConstraints6 = new GridBagConstraints();\n\t\t\tgridBagConstraints6.gridx = 0;\n\t\t\tgridBagConstraints6.ipadx = 358;\n\t\t\tgridBagConstraints6.ipady = 7;\n\t\t\tgridBagConstraints6.gridy = 1;\n\t\t\tGridBagConstraints gridBagConstraints5 = new GridBagConstraints();\n\t\t\tgridBagConstraints5.insets = new Insets(0, 26, 0, 0);\n\t\t\tgridBagConstraints5.gridy = 0;\n\t\t\tgridBagConstraints5.anchor = GridBagConstraints.WEST;\n\t\t\tgridBagConstraints5.gridx = 0;\n\t\t\tGridBagConstraints gridBagConstraints4 = new GridBagConstraints();\n\t\t\tgridBagConstraints4.fill = GridBagConstraints.BOTH;\n\t\t\tgridBagConstraints4.gridy = 1;\n\t\t\tgridBagConstraints4.weightx = 1.0;\n\t\t\tgridBagConstraints4.weighty = 1.0;\n\t\t\tgridBagConstraints4.gridx = 1;\n\t\t\tGridBagConstraints gridBagConstraints2 = new GridBagConstraints();\n\t\t\tgridBagConstraints2.insets = new Insets(0, 26, 0, 15);\n\t\t\tgridBagConstraints2.gridy = 2;\n\t\t\tgridBagConstraints2.weightx = 1.0;\n\t\t\tgridBagConstraints2.anchor = GridBagConstraints.WEST;\n\t\t\tgridBagConstraints2.gridx = 0;\n\t\t\tlabelCanonicalName = new JLabel();\n\t\t\tlabelCanonicalName.setText(\"JLabel\");\n\t\t\tlabelCanonicalName.setFont(new java.awt.Font(\"SansSerif\", java.awt.Font.BOLD, 14));\n\t\t\tlabelCanonicalName.setHorizontalAlignment(SwingConstants.LEADING);\n\t\t\tpanelInfo = new JPanel();\n\t\t\tpanelInfo.setLayout(new GridBagLayout());\n\t\t\tpanelInfo.setBorder(BorderFactory.createEtchedBorder(EtchedBorder.RAISED));\n\t\t\tpanelInfo.setPreferredSize(new Dimension(629, 100));\n\t\t\tpanelInfo.setMinimumSize(new Dimension(629, 100));\n\t\t\tpanelInfo.setMaximumSize(new Dimension(629, 100));\n\t\t\tpanelInfo.add(labelCanonicalName, gridBagConstraints5);\n\t\t\tpanelInfo.add(getJPanel4(), gridBagConstraints6);\n\t\t\tpanelInfo.add(getJTextAreaDescription(), gridBagConstraints7);\n\t\t}\n\t\treturn panelInfo;\n\t}", "private void ShowDetails(String tabId) {\n\n\t\tif (tabId.equalsIgnoreCase(PARTICIPATED_CONTEST) == true) {\n\n\t\t\tLocalData data = new LocalData(context);\n\t\t\tdata.Update(MY_CONTEST, PARTICIPATED_CONTEST);\n\t\t\tGetParticipatedContest();\n\n\t\t} else if (tabId.equalsIgnoreCase(CREATED_CONTEST) == true) {\n\n\t\t\tLocalData data = new LocalData(context);\n\t\t\tdata.Update(MY_CONTEST, CREATED_CONTEST);\n\t\t\tGetCreatedContest();\n\t\t}\n\t}", "private JPanel getPanelCategories() {\n\t\tif (panelCategories == null) {\n\t\t\tpanelCategories = new JPanel();\n\t\t\tpanelCategories.setLayout(new BorderLayout());\n\t\t\tpanelCategories.setBorder(BorderFactory.createTitledBorder(BorderFactory.createEtchedBorder(EtchedBorder.RAISED), CMMessages.getString(\"TESTDATA_CATEGORY_FUNCTION\"), TitledBorder.LEADING, TitledBorder.TOP, new Font(\"SansSerif\", Font.BOLD, 10), SystemColor.activeCaption));\n\t\t\tpanelCategories.setPreferredSize(new Dimension(272, 158));\n\t\t\tpanelCategories.setMinimumSize(new Dimension(272, 158));\n\t\t\tpanelCategories.add(getScrollCategories(), BorderLayout.CENTER);\n\t\t}\n\t\treturn panelCategories;\n\t}", "public JPanel getInfoPane(int w, int h) {\n \n \t\tJPanel infoPanel = new JPanel();\n \t\tinfoPanel.setPreferredSize(new Dimension(w, h));\n \n \t\tGroupLayout layout = new GroupLayout(infoPanel);\n \t\tinfoPanel.setLayout(layout);\n \t\tlayout.setAutoCreateGaps(true);\n \t\tlayout.setAutoCreateContainerGaps(true);\n \n \t\tJTextArea description = new JTextArea(10, 10);\n \t\tif (c == CCode.RED)\n \t\t\tdescription.setBackground(Color.PINK);\n \t\telse if (c == CCode.BLUE)\n \t\t\tdescription.setBackground(Color.CYAN);\n \t\telse if (c == CCode.YELLOW)\n \t\t\tdescription.setBackground(Color.YELLOW);\n \t\telse if (c == CCode.GREEN)\n \t\t\tdescription.setBackground(Color.GREEN);\n \t\t// description.setFont(font);\n \t\tdescription.setLineWrap(true);\n \t\tdescription.setWrapStyleWord(true);\n \t\tdescription.setEditable(false);\n \n \t\tString cardText = \"\";\n \t\tif (t == Type.CHARACTER) {\n \t\t\tif (!getTrait1_j().equals(\"\"))\n \t\t\t\tcardText += getTrait1();\n \t\t\tif (!getTrait2_j().equals(\"\"))\n \t\t\t\tcardText += (!cardText.equals(\"\") ? \" \| \" : \"\") + getTrait2();\n \t\t\tcardText += \"\\n\\n\";\n \t\t}\n \t\tcardText += getEffects() + \"\\n\";\n \n \t\tif (!getFlavorText().equals(\"\")) {\n \t\t\tcardText += \"Flavor Text: \\n\" + getFlavorText();\n \t\t}\n \n \t\tdescription.setText(cardText);\n \n \t\tdescription.setCaretPosition(0);\n \t\tJScrollPane descContainer = new JScrollPane(description);\n \n \t\tJLabel nameLabel = new JLabel();\n \t\t// nameLabel.setFont(font);\n \t\tnameLabel.setText(cardName);\n \n \t\tJLabel idLabel = new JLabel(id.replace(\"_alt\", \"\"));\n \t\t// idLabel.setFont(font);\n \t\tJLabel typeLabel = new JLabel(t.toString());\n \t\t// typeLabel.setFont(font);\n \t\tJLabel levelLabel = new JLabel(\"Level: \" + (level >= 0 ? level : \" -\"));\n \t\t// levelLabel.setFont(font);\n \t\tJLabel costLabel = new JLabel(\"Cost: \" + (cost >= 0 ? cost : \" -\"));\n \t\t// costLabel.setFont(font);\n \t\tJLabel soulLabel = new JLabel(\"Trigger: \" + trigger.toString());\n \t\t// soulLabel.setFont(font);\n \t\tJLabel powerLabel = new JLabel(\"Power: \" + (power > 0 ? power : \" -\"));\n \t\t// powerLabel.setFont(font);\n \t\tJLabel damageLabel = new JLabel(\"Soul: \" + (soul > 0 ? soul : \" -\"));\n \t\t// damageLabel.setFont(font);\n \t\tlayout.setAutoCreateGaps(true);\n \t\tlayout.setAutoCreateContainerGaps(true);\n \n \t\tlayout.setHorizontalGroup(layout\n \t\t\t\t.createParallelGroup()\n \t\t\t\t.addComponent(nameLabel, GroupLayout.PREFERRED_SIZE, 350, GroupLayout.PREFERRED_SIZE)\n \t\t\t\t.addGroup(\n \t\t\t\t\t\tlayout.createSequentialGroup()\n \t\t\t\t\t\t\t\t.addGroup(\n \t\t\t\t\t\t\t\t\t\tlayout.createParallelGroup().addGroup(layout.createSequentialGroup().addComponent(idLabel, GroupLayout.PREFERRED_SIZE, 125, GroupLayout.PREFERRED_SIZE))\n \t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup().addComponent(levelLabel, GroupLayout.PREFERRED_SIZE, 60, GroupLayout.PREFERRED_SIZE).addComponent(costLabel)))\n \t\t\t\t\t\t\t\t.addGroup(\n \t\t\t\t\t\t\t\t\t\tlayout.createParallelGroup().addGroup(layout.createSequentialGroup().addComponent(typeLabel))\n \t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup().addComponent(powerLabel, GroupLayout.PREFERRED_SIZE, 90, GroupLayout.PREFERRED_SIZE)))\n \t\t\t\t\t\t\t\t.addGroup(\n \t\t\t\t\t\t\t\t\t\tlayout.createParallelGroup().addGroup(layout.createSequentialGroup().addComponent(soulLabel, GroupLayout.PREFERRED_SIZE, 130, GroupLayout.PREFERRED_SIZE))\n \t\t\t\t\t\t\t\t\t\t\t\t.addGroup(layout.createSequentialGroup().addComponent(damageLabel))))\n \t\t\t\t.addComponent(descContainer, GroupLayout.PREFERRED_SIZE, 350, GroupLayout.PREFERRED_SIZE));\n \n \t\tlayout.setVerticalGroup(layout.createSequentialGroup().addGroup(layout.createParallelGroup().addComponent(nameLabel))\n \t\t\t\t.addGroup(layout.createParallelGroup().addComponent(idLabel).addComponent(typeLabel).addComponent(soulLabel))\n \t\t\t\t.addGroup(layout.createParallelGroup().addComponent(levelLabel).addComponent(costLabel).addComponent(powerLabel).addComponent(damageLabel))\n \t\t\t\t.addGroup(layout.createParallelGroup().addComponent(descContainer)));\n \n \t\t// System.out.println(\"getInfoPane\");\n \n \t\treturn infoPanel;\n \n \t}", "public final native Element getDiv() /-{\n return this.getDiv();\n }-/;", "@Override\n\tpublic ICategoryView getProductCategoryView() {\n\t\tLog.debug(\"getProductCategoryView is null ......................\");\n\t\treturn null;\n\t}", "public String getProductPictureDetails(){\r\n\t\t\t\r\n\t\t\treturn (hasProductPicture())?McsElement.getElementByXpath(driver, PRODUCT_PIC_CONTAINER+\"//img\").getAttribute(\"src\"): \"\";\r\n\t\t}", "public Integer getItemDetailId() {\n return itemDetailId;\n }", "public Integer getInvoiceDetailId() {\r\n return this.invoiceDetailId;\r\n }", "PartitionDetailsPage getDetailsPage();", "public Type show_head() {\n\t return(head.show_element());\n\n }", "private JPanel getJPanel() {\n\tif (certInfoPane == null) {\n\t certInfoPane = new TemplateButtonPanel();\n\t certInfoPane.setPreferredSize(new Dimension(500, 300));\n\t certInfoPane.setBorder(BorderFactory.createBevelBorder(BevelBorder.LOWERED));\n\t \n\t // use SwingUtilities.invokeLater() to update the gui because\n\t // these may be originating from a different worker thread\n\t selection.addListSelectionListener(new ListSelectionListener() {\n\t\t public void valueChanged(ListSelectionEvent ev) {\n\t\t\tif (ev.getValueIsAdjusting()) return;\n\t\t\tSwingUtilities.invokeLater(new Runnable() {\n\t\t\t public void run() {\n\t\t\t\tupdateSelection();\n\t\t\t }\n\t\t\t});\t\t\t\n\t\t }\n\t });\n\t store.addListDataListener(new ListDataListener() {\n\t\tpublic void intervalAdded(ListDataEvent e) { }\n\t\tpublic void intervalRemoved(ListDataEvent e) { }\n\t\tpublic void contentsChanged(ListDataEvent e) {\n\t\t SwingUtilities.invokeLater(new Runnable() {\n\t\t\tpublic void run() {\n\t\t\t updateSelection(); // for buttons\n\t\t\t certInfoPane.refresh();\n\t\t\t}\n\t\t });\t\t\t\n\t\t}\n\t });\n\t}\n\treturn certInfoPane;\n }", "public PurchaseOrderDetailHelper getPoDetailsHelper() {\n\t\treturn poDetailsHelper;\n\t}", "public String productListForDetail() {\n return SUCCESS;\n }", "public ViewOrderItemDetailJPanel(JPanel cardSequenceJPanel, OrderItem orderItem) {\n initComponents();\n this.cardSequenceJPanel = cardSequenceJPanel;\n this.orderItem = orderItem;\n txtProductName.setText(orderItem.getMarketOffer().getProduct().getProductName());\n txtProductID.setText(String.valueOf(orderItem.getMarketOffer().getProduct().getModelNum()));\n txtTotalPrice.setText(String.valueOf(orderItem.getActualPrice()orderItem.getQuantity()));\n txtQuantity.setText(String.valueOf(orderItem.getQuantity()));\n txtActualPrice.setText(String.valueOf(orderItem.getActualPrice()));\n }", "private JPanel createScrollPaneProducts() {\n\n JPanel panelScroll = new JPanel(new GridLayout());\n panelScroll.setBorder(BorderFactory.createTitledBorder(PADDING_BORDER,\n \"Products List: \", TitledBorder.LEFT, TitledBorder.TOP));\n\n this.productsList = this.demonstrationApplicationController.getProductsList();\n this.jListProduct = new JList(new ModelListSelectable(this.productsList));\n JScrollPane scrollPane = new JScrollPane(jListProduct);\n scrollPane.setBorder(PADDING_BORDER);\n\n panelScroll.add(scrollPane);\n\n return panelScroll;\n }", "private void addTopicDetails() \n {\n baseLayout.addComponent(UIUtils.getSchoolBannerLayout());\n baseLayout.addComponent(getVideoPathLayout());\n baseLayout.addComponent(getNotesLayout());\n baseLayout.addComponent(getOtherNotesLayout());\n baseLayout.addComponent(getPreviousQuestionsLayout());\n baseLayout.addComponent(getQuizLayout());\n baseLayout.addComponent(addUserNotes());\n //baseLayout.setExpandRatio(tabsheetLayout,2);\n }", "private Component getPreviewPane() {\n\t\tImageIcon img = new ImageIcon(image.getScaledInstance(100, 140, Image.SCALE_DEFAULT));\n\t\tJLabel preview = new JLabel(img);\n\t\t\n\t\treturn preview;\n\t}", "public static WebElement tab_clickProductGalleryTabView() throws Exception{\r\n \ttry{\r\n \t\telement = driver.findElement(By.xpath(\"//[contains(@class, 'galleryIco')]\"));\r\n \t\tAdd_Log.info(\"Product Gallery Tab View is click on the page.\");\r\n \t\t\r\n \t}catch(Exception e){\r\n \t\tAdd_Log.error(\"Product Gallery Tab View is NOT found on the page.\");\r\n \t\tthrow(e);\r\n \t}\r\n \treturn element;\r\n }", "@Override\n\tpublic ProductVO detailProduct(int product_id) {\n\t\treturn null;\n\t}", "public void getDetail(int id) {\n\t\t\n\t}", "@RequestMapping(method = RequestMethod.GET, value = \"/*\", produces = {MediaType.TEXT_HTML_VALUE})\n public String handleProductDetailPage(HttpServletRequest request, HttpServletResponse response) throws ContentProviderException {\n\n // TODO: How to handle variants ??\n\n // Path pattern for product detail pages: /p/[SEO name]/[second id]\n final String requestPath = webRequestContext.getRequestPath().replaceFirst(\"/p\", \"\");\n final String[] pathTokens = requestPath.split(\"/\");\n final String productSeoId;\n final String productId;\n if ( pathTokens.length == 3 ) {\n productSeoId = pathTokens[1];\n productId = pathTokens[2];\n }\n else if ( pathTokens.length == 2 ) {\n productSeoId = null;\n productId = pathTokens[1];\n }\n else {\n throw new PageNotFoundException(\"Invalid product detail URL.\");\n }\n\n //final Category category = fredhopperService.getCategoryByPath(requestPath);\n //final List<FacetParameter> facets = fredhopperService.getFacetParametersFromRequestMap(request.getParameterMap());\n ProductDetailResult detailResult = this.detailService.getDetail(productId);\n\n if ( detailResult != null && detailResult.getProductDetail() != null ) {\n\n request.setAttribute(PRODUCT_ID, productId);\n request.setAttribute(PRODUCT, detailResult.getProductDetail());\n request.setAttribute(RESULT, detailResult);\n request.setAttribute(URL_PREFIX, \"/c\");\n final PageModel templatePage = resolveTemplatePage(request, this.getSearchPath(productSeoId, productId));\n templatePage.setTitle(detailResult.getProductDetail().getName());\n\n final MvcData mvcData = templatePage.getMvcData();\n return this.viewResolver.resolveView(mvcData, \"Page\", request);\n }\n throw new PageNotFoundException(\"Product detail page not found.\");\n }", "void displayDetails(String title, String description);", "@ThreadConfined(type = ThreadConfined.ThreadType.AWT)\n DomainDetailsPanel() {\n initComponents();\n MiniTimelinePanel timelinePanel = new MiniTimelinePanel();\n DiscoveryEventUtils.getDiscoveryEventBus().register(timelinePanel);\n jTabbedPane1.add(Bundle.DomainDetailsPanel_miniTimelineTitle_text(), timelinePanel);\n for (BlackboardArtifact.ARTIFACT_TYPE type : SearchData.Type.DOMAIN.getArtifactTypes()) {\n jTabbedPane1.add(type.getDisplayName(), new DomainArtifactsTabPanel(type));\n }\n }", "public AbsBuilderLevelPanel getCurrentLevelPanel()\n\t{\n\t\tAbsBuilderLevelPanel card = null;\n\n\t\t//find the component that is set to visible (will be a JPanel\n\t\tfor (Component comp : pnlLevelSwitch.getComponents() ) {\n\t\t\tif (comp.isVisible() == true) {\n\t\t\t\tcard = (AbsBuilderLevelPanel)comp;\n\t\t\t}\n\t\t}\n\n\t\treturn card;\n\t}", "@Override\n public void onExpandingClick(View v) {\n View view = v.findViewById(R.id.image);\n Travel travel = generateTravelList().get(viewPager.getCurrentItem());\n startInfoActivity(view,travel);\n }", "private JScrollPane setInnerScrollPane() {\n JScrollPane jsp = new JScrollPane();\n jsp.setViewportView(setOrderList());\n return jsp;\n }", "public String getProductDescription() {\r\n/ 221 / return this._productDescription;\r\n/ */ }", "String getHoverDetail();", "private JTabbedPane getMetadataTabbedPane() {\r\n if (this.metadataTabbedPane == null) {\r\n this.metadataTabbedPane = new JTabbedPane();\r\n this.metadataTabbedPane.addTab(HOSTING_CENTER_TAB_NAME, null, new IconFeedbackPanel(this.validationModel,\r\n getCenterPanel()), \"Information on the Hosting Research Center\");\r\n this.metadataTabbedPane.addTab(SERVICE_INFORMATION_TAB_NAME, null, getServicePanel(),\r\n \"Information about the service itself\");\r\n }\r\n return this.metadataTabbedPane;\r\n }" ]	[ "0.6661412", "0.620801", "0.5865711", "0.56321424", "0.56178606", "0.54460615", "0.5402428", "0.52783483", "0.5202315", "0.5185448", "0.51272076", "0.51214206", "0.5053906", "0.5035992", "0.50233966", "0.5022227", "0.49011683", "0.48986405", "0.48878318", "0.48828122", "0.48728514", "0.48608994", "0.48279387", "0.48143747", "0.47949836", "0.47865447", "0.4783244", "0.47799224", "0.47780877", "0.47584876", "0.47501454", "0.47424874", "0.47397393", "0.4736495", "0.4735486", "0.47323528", "0.47222894", "0.47159722", "0.47015077", "0.4698936", "0.4692617", "0.469157", "0.4668354", "0.4667013", "0.46645057", "0.46636978", "0.46573734", "0.46541166", "0.4653792", "0.46537125", "0.4646607", "0.464521", "0.4642154", "0.46411344", "0.4634013", "0.46309403", "0.46251664", "0.46251664", "0.46075374", "0.46075374", "0.4603306", "0.46010566", "0.45982432", "0.45851368", "0.45851368", "0.45851368", "0.45851368", "0.45795953", "0.45709866", "0.45656273", "0.45436117", "0.4534027", "0.45339692", "0.45318198", "0.45230365", "0.4518226", "0.45152974", "0.45137113", "0.4507324", "0.4501446", "0.44912583", "0.4489495", "0.44893265", "0.44873443", "0.44834587", "0.44795045", "0.44758657", "0.44738713", "0.44679904", "0.44653282", "0.44633234", "0.44610667", "0.4460919", "0.44589597", "0.4457134", "0.44533667", "0.4450087", "0.44438487", "0.444259", "0.44425544" ]	0.77210754	0
Click on the Product Infomation Accordion Label	public synchronized void click_productInfomationAccordianLabel() throws Exception { utils.clickWebElement(driver, ProductInfomationAccordionLabel(), "Product Infomation Accordion Label not found"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void selectProduct() {\n\t\tActions obj = new Actions(driver);\n\t\tobj.moveToElement(driver.findElements(By.xpath(\".//[@id='center_column']/ul/li\")).get(0)).build().perform();\n\t\tdriver.findElement(By.xpath(\".//[@id='center_column']/ul/li[1]/div/div[2]/div[2]/a[1]/span\")).click();\n\t}", "public synchronized WebElement ProductInfomationAccordionLabel() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductInfomationAccordionLabel\",\n\t\t\t\t\"\| PDP:Product Infomation Accordion Label not present\");\n\t}", "public void clickProductDetailsViewInCartBtn(){\n clickElement(productDetailsViewInCart);\n }", "public void selectAProduct() {\n specificProduct.click();\n }", "public void clickDescriptionTab() {\r\n\t\t\r\n\t\tString xpath = \"//div[contains(@class,\"+PURCHASING_PRODUCT_WINDOW_CLASS+\")]//span[text()='Description']\";\r\n\t\t\r\n\t\tWebDriverWait wait = new WebDriverWait(driver,20);\r\n\t\twait.until(ExpectedConditions.elementToBeClickable(By.xpath(xpath)));\r\n\t\t\r\n\t\tMcsElement.getElementByAttributeValueAndParentElement(driver, \"div\",\r\n\t\t\t\t\"@class\", PURCHASING_PRODUCT_WINDOW_CLASS, \"span\", \"text()\",\r\n\t\t\t\t\"Description\", true, true).click();\r\n\r\n\t}", "public void clickProductDetailsAddToCartBtn(){\n clickElement(productDetailsAddToCart);\n }", "public void clickOnViewCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnViewCartButton.click();\n\n \t}", "@When(\"I click on the product comparision message link\")\n public void i_click_on_the_product_comparision_link() {\n BasePage.htcOneMiniBluePage.clickOnProductComparisionLink();\n }", "public synchronized WebElement productInfomationAccordionDetail() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductInfomationAccordionDetail\",\n\t\t\t\t\"\| PDP:Product Description Accordion Infomation div not present\");\n\t}", "void clickProduct(View v);", "public void ClickAtDesireProduct(String product){ //clicarNoProdutoDesejado\n driver.findElement(By.xpath(\"//h3[contains(text(),'\" + product + \"')]\")).click();\n\n }", "public void clickDemandSideManagement();", "public void clickOnAddToCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickAddToCartButton.click();\n\n \t}", "public void clickOnSummerDresses(){\n a = new Actions(driver);\n a.moveToElement(driver.findElement(By.cssSelector(\"div[id ='block_top_menu'] a[title='Women']\"))).build().perform();\n driver.findElement(By.cssSelector(\"ul[class='submenu-container clearfix first-in-line-xs'] li a[title='Summer Dresses']\")).click();\n a.moveToElement(driver.findElement(By.xpath(\"//ul[contains(@class,'product_list')]/li[2]\"))).build().perform();\n driver.findElement(By.xpath(\"//ul[contains(@class,'product_list')]/li[2]/div/div[2]/div[2]/a[1]\")).click();\n }", "public void clickOnVolumeDiscount()\n\t{\n\t\twaitForVisibility(volumeDiscount);\n\t\tvolumeDiscount.click();\n\t}", "public void clickOnContinueShoppingButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnContinueShoppingButton.click();\n\n \t}", "public void clickOnProceedToCheckoutButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnProceedToCheckoutButton.click();\n\n \t}", "public void ClickCommissionInformationPage() {\r\n\t\tcommissioninfo.click();\r\n\t\t\tLog(\"Clicked the \\\"Commission Information\\\" button on the Birthdays page\");\r\n\t}", "public void clickContactUS() {\n\t\tSystem.out.println(\"Clicked contactus link\");\n\t}", "@Then(\"^product in shown as available\")\n public void clicks_On_Add_Button(){\n }", "void onProductClick(Product product, int code);", "public void clickAssessment() {\r\n\t\tthis.clickAssessment.click();\r\n\t}", "public void clickOnExpandBtnInDental() throws Exception{\n\t\tjs.scrollIntoView(btnExpandServDetailsInDental);\n\t\twait.waitTillElementBecomeClickable(driver, 40, btnExpandServDetailsInDental);\n\t\tbtnExpandServDetailsInDental.click();\t\n\t\tlog.logInfo(\"Clicked on Sevice expand button\");\n\t}", "public void clickOnExpandBtnInInsti() throws Exception{\n\t\tjs.scrollIntoView(btnExpandServDetailsInInsti);\n\t\twait.waitTillElementVisible(driver, 40, btnExpandServDetailsInInsti);\n\t\tbtnExpandServDetailsInInsti.click();\n\t\tlog.logInfo(\"Clicked on Sevice expand button\");\n\t}", "public void clickOnLogo() {\n\t\t\n\t}", "public void Click_Customer_TAB()\r\n\t{\r\n\t\tdriver.findElement(Click_Customer_TAB).click();\r\n\t}", "public void navigateToWomanCategory(){\n a = new Actions(driver);\n a.moveToElement(driver.findElement(By.cssSelector(\"div[id ='block_top_menu'] a[title='Women']\"))).build().perform();\n driver.findElement(By.cssSelector(\"ul[class='submenu-container clearfix first-in-line-xs'] li a[title='Casual Dresses'] \")).click();\n }", "public void clickCaseIcon(){\n getUiInstance().getElement(locators.linkCase, Constant.DEFAULT_TIMEOUT).click();\n reporter.info(\"Clicking case icon\");\n }", "public synchronized WebElement ProductInfomationAccordionDescription() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductInfomationAccordionDescription\",\n\t\t\t\t\"\| PDP:Product Description Accordion not present\");\n\t}", "private void jtMouseClicked(java.awt.event.MouseEvent evt) {//GEN-FIRST:event_jtMouseClicked\n selectDetailWithMouse();\n }", "public void clickStockTab(){\r\n\t\t\r\n\t\tString xpath = \"//div[contains(@class,\"+PURCHASING_PRODUCT_WINDOW_CLASS+\")]//span[text()='Stock']\";\r\n\t\twaitForExtJSAjaxComplete(20);\r\n\t\tWebDriverWait wait = new WebDriverWait(driver,20);\r\n\t\twait.until(ExpectedConditions.elementToBeClickable(By.xpath(xpath)));\r\n\t\t\r\n\t\tMcsElement.getElementByAttributeValueAndParentElement(driver, \"div\", \"@class\", PURCHASING_PRODUCT_WINDOW_CLASS, \"span\", \"text()\", \"Stock\", true, true).click();\r\n\t\t\r\n\t}", "public void clickPresselGermany(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- PresselGermany link should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\tclick(locator_split(\"lnkPresselGermany\"));\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- PresselGermany link is clicked\");\r\n\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- PresselGermany link is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"lnkPresselGermany\")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t}", "public void setProduct_CouponsTab_Marketing(String product) {\r\n\t\tdriver.findElement(By.xpath(\"//input[@id='input-product']\")).click();\r\n\t\tdriver.findElement(By.xpath(\"//a[contains(text(),'\"+product+\"')]\")).click();\r\n\t\t\t\t\r\n\t}", "public void click_Continue_ShippingSummary()\n\t{\n\t\twaitForVisibility(continueShippingSummary);\n\t\tcontinueShippingSummary.click();\n\t}", "public void ClickOnConfirmCertificateInformationButton()\n\t\t{\n\t\t\tConfirmCertificateInformation.click();\n\t\t}", "public void clickSupercatNextLevel(String CategoryName){\r\n\t\tString supercartlink2 = getValue(CategoryName);\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+supercartlink2);\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- '\"+supercartlink2+\"' link should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\twaitForElement(locator_split(\"BylnkSuperCatNext\"));\r\n\t\t\tclickSpecificElementContains(locator_split(\"BylnkSuperCatNext\"),supercartlink2);\r\n\t\t\twaitForPageToLoad(20);\r\n\t\t\tSystem.out.println(supercartlink2+\"link clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- '\"+supercartlink2+\"' link is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- '\"+supercartlink2+\"' link is not clicked\");\r\n\r\n\t\t}\r\n\t}", "public void clickSupercatlink(String CategoryName){\r\n\t\tString supercartlink1 = getValue(CategoryName);\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+supercartlink1);\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- '\"+supercartlink1+\"' link should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\twaitForElement(locator_split(\"BylnkSuperCat\"));\r\n\t\t\tclickSpecificElement(locator_split(\"BylnkSuperCat\"),supercartlink1);\r\n\t\t\twaitForPageToLoad(20);\r\n\t\t\tSystem.out.println(supercartlink1+\" link is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- '\"+supercartlink1+\"' link is clicked\");\r\n\t\t\tsleep(3000);\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- \"+supercartlink1+\" link is not clicked\");\r\n\r\n\t\t}\r\n\t}", "public void clickonAddVehicleSideBar() {\r\n\t\tsafeClick(groupListSideBar.replace(\"Group List\", \"Vehicle List\"), SHORTWAIT);\r\n\t}", "@DISPID(-2147412104)\n @PropGet\n java.lang.Object onclick();", "public final void click() {\n getUnderlyingElement().click();\n }", "public void clickAutoInsurance() {\n\t\tselectAutoInsurance.click();\n\t}", "public void clickOnYesButton() {\r\n\t\tsafeJavaScriptClick(manageVehiclesSideBar.replace(\"Manage Vehicles\", \"Yes\"));\r\n\t}", "public void clickCourse() {\r\n\t\tthis.clickcourse.click();\r\n\r\n\t}", "private void clickContactLookup() {\n contactLookupIcon.click();\n }", "public void click() {\n final boolean wasMaximized = maximized;\n setMaximized( !wasMaximized );\n if ( wasMaximized ) {\n if ( unmaximizeCommand != null ) {\n unmaximizeCommand.execute();\n setTitle( WorkbenchConstants.INSTANCE.maximizePanel() );\n }\n } else {\n if ( maximizeCommand != null ) {\n maximizeCommand.execute();\n setTitle( WorkbenchConstants.INSTANCE.minimizePanel() );\n }\n }\n }", "public void goIntoProducts() {\r\n\t\tActions act = new Actions(driver);\r\n\t\t//hovering over the tag button\r\n\t\tact.moveToElement(this.tagButton).build().perform();\r\n\t\t//clicking on products button\r\n\t\tthis.productsBtn.click();\r\n\t}", "public void clickOnExpandBtn() throws Exception{\n\t\tjs.scrollIntoView(btnExpandServDetails);\n\t\twait.waitTillElementBecomeClickable(driver, 40, btnExpandServDetails);\n\t\tbtnExpandServDetails.click();\n\t\tlog.logInfo(\"Clicked on Sevice expand button\");\n\t}", "@Override\n public void openDetail(@NonNull Product product) {\n mMainView.openDetailUi(product);\n }", "public void ClickonMoreInformationlink(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- More information link should be clicked\");\r\n\t\ttry{\r\n\t\t\tclickSpecificElement(locator_split(\"lnkFrequentlybroughtmoreinformation\"), 2);\r\n\t\t\tSystem.out.println(\"More information link is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- More information link is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- More information link is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"lnkFrequentlybroughtmoreinformation\")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t}", "public void ClickPartnerInformationPage() {\r\n\t\tpartnerinfo.click();\r\n\t\t\tLog(\"Clicked the \\\"Partner Information\\\" button on the Birthdays page\");\r\n\t}", "@Override\n public void onClick(View v) {\n showMemoriesPopover();\n }", "public void clickOnGroupNameDropdownButton() {\r\n\t\tsafeClick(vehicleLinkPath.replace(\"ant-card-head-title\", \"ant-select ant-select-enabled\"), MEDIUMWAIT);\r\n\t}", "@Then(\"^I see Product name displayed$\")\n public void i_see_Product_name_displayed() throws Throwable {\n \t driver.findElement(By.linkText(\"Product Name+\")).isDisplayed();\n \n }", "public void clickSetDiscount() {\n waitFor(20);\n if (isElementVisible(\"set_diskon_menu_lainnya\", 10)) {\n tapElement(\"set_diskon_menu_lainnya\");\n } else {\n deleteDiscount();\n editWithMenuLainnya();\n clickSetDiscount();\n }\n }", "void clickAmFromMenu();", "public void Cart_icon() {\r\n\t\tthis.Cart_icon.click();\r\n\t}", "@When(\"^Click on Contactus Option$\")\r\n\tpublic void click_on_Contactus_Option() {\n\t\tnop.click(\"//[@id=\\\"contact-link\\\"]/a\"); //clicking contact us option\r\n\t\t\r\n\t}", "@JDIAction(\"Expand '{name}'\")\n public void expand() {\n if (isCollapsed()) {\n expandButton.click();\n }\n }", "public void clickDetailViewButton() {\n\t\tfilePicker.stickyButton(locDetailBtn);\n\t}", "@Override\r\n\tpublic void clickSub(int count) {\n\t\t\r\n\t}", "public void clickCheckout()\n\t{\n\t\twaitForVisibility(checkout);\n\t\tcheckout.click();\n\t}", "public void gotoDetailSalesOrder() {\n\t}", "@Step\n public void clickContactUsPage(){\n contactusPages.clickContactUsPage();\n }", "@Override\n\tprotected void OnClick() {\n\t\t\n\t}", "void clickOnDelivery(Delivery delivery);", "public void clickOnCourseCatalogsButton() {\n if(CourseCatalog.isDisplayed()) {\n\t waitAndClick(CourseCatalog);\n }\n\t }", "public void onLblTaxDeductionClick(View v) {\n if (!ttClicked) {\n ttClicked = true;\n totalTaxSwitcher.setFactory(setFactorySwitcher(0xfffdfdfd));\n String[] S = {\"Annual\\n\" + pounds.format(totalTax), \"Monthly\\n\" + pounds.format(totalTax/12),\n \"Weekly\\n\" + pounds.format(totalTax/52)};\n totalTaxSwitcher.setText(S[currentTTIndex]);\n } else {\n ttClicked = false;\n totalTaxSwitcher.removeAllViews();\n }\n }", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tlistener.clickDisplaylistMethod(position, item.getCategory()\n\t\t\t\t\t\t.getArrCookMethods());\n\t\t\t}", "public void clickonFullyAutomaticFrontLoad() {\n\t\t\n\t}", "protected void doColonyInfoClick() {\r\n\t\tuiSound.playSound(\"ColonyInformation\");\r\n\t\tif (onInformationClicked != null) {\r\n\t\t\tonInformationClicked.invoke();\r\n\t\t}\r\n\t}", "public void Open() {\r\n\t click();\r\n\t }", "public void clickOnHardCopyButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnHardCopyButton.click();\n\n \t}", "public void clickTravellersAdultsInc() {\n\t\ttravellersAdultInc.click();\n\t}", "@Override\n public void onClick(Step selectedStepItem) {\n parent.setSelectedStepNumber(selectedStepItem.getId());\n Timber.d(selectedStepItem.getDescription());\n }", "public void viewContactDetails() {\n wd.findElement(By.xpath(\"//tr/td[7]/a\")).click();\n }", "public void clickOnVehicleNameDropdownButton() {\r\n\t\tsafeClick(vehicleLinkPath.replace(\"ant-card-head-title\", \"ant-select ant-select-enabled\"), MEDIUMWAIT);\r\n\t}", "public void clickPictureTab(){\r\n\t\t\r\n\t\tString xpath = \"//div[contains(@class,\"+PURCHASING_PRODUCT_WINDOW_CLASS+\")]//span[text()='Picture']\";\r\n\t\twaitForExtJSAjaxComplete(20);\r\n\t\t\r\n\t\tWebDriverWait wait = new WebDriverWait(driver,20);\r\n\t\twait.until(ExpectedConditions.elementToBeClickable(By.xpath(xpath)));\r\n\t\twaitForExtJSAjaxComplete(20);\r\n\t\twaitForExtJSAjaxComplete(20);\r\n\t\t\r\n\t\tMcsElement.getElementByAttributeValueAndParentElement(driver, \"div\", \"@class\", PURCHASING_PRODUCT_WINDOW_CLASS, \"span\", \"text()\", \"Picture\", true, true).click();\r\n\t}", "void clickFmFromMenu();", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tClickQuickCoupler();\n\t\t\t}", "public void clickOnVehicleListSideBar() {\r\n\t\tsafeClick(groupListSideBar.replace(\"Group List\", \"Vehicle List\"), SHORTWAIT);\r\n\r\n\t}", "public void click_Volume_Discount()\n\t{\n\t\twaitForVisibility(inventoryMenuList);\n\t\tList<WebElement> inventorySetupList = inventoryMenuList.findElements(By.cssSelector(\"#listing > div.tabs.tabs--small.tabs--scroll.clearfix > ul > li\"));\n\t\tfor(int i = 0; i < inventorySetupList.size(); i++)\n\t\t{\n\t\t\tif(inventorySetupList.get(i).getText().contains(\"Volume Discount\"))\n\t\t\t{\n\t\t\t\tinventorySetupList.get(i).click();\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}", "@Override\r\n\t\tpublic void mouseClicked(MouseEvent arg0) {\n\t\t\tMyFrame.teampanel.showOne(name2.getText());\r\n\t\t}", "public void category1() {\r\n\t\tmySelect1.click();\r\n\t}", "public void clickOnCheckboxIAgreeRules()\n \t{\n \t\tproductRequirementsPageLocators.clickOnAgreeRulesCheckbox.click();\n\n \t}", "@Command\t\n\tpublic void menuClicked(@BindingParam(\"pagename\") String pagename)\n\t{\n\t\t\n\t\tVlayout vl=(Vlayout)Path.getComponent(\"/mainlayout\");\n\t\t//Scrollview s=(Scrollview)vl.getFellow(\"scvCenter\");\n\t\t//Executions.createComponents(pagename, s, null);\n\t\t\t\n\t}", "public void ClickClosepopupinShoppinginsight(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- close 'x' image should be clicked for Add to Cart pop up\");\r\n\t\ttry{\r\n\t\t\tclick(locator_split(\"imgShoppinginsightPopupclose\"));\r\n\t\t\tSystem.out.println(\"close 'x' image is clicked for Add to Cart pop up\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- close 'x' image is clicked for Add to Cart pop up\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- close 'x' image is not clicked for Add to Cart pop up\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"imgShoppinginsightPopupclose\")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t}", "public static void contextMenuClickOnFeature(WebDriver driver, String name) {\n\t\tString xpath = \"//[local-name() = 'g' and @class='pieFeature']\" +\n\t\t\t\t\"/[local-name() = 'path']/[local-name() = 'title'][contains(text(),' - \"+name+\": ')]/parent::*\";\t\t\n\t\tActions builder = new Actions(driver); \n\t\tbuilder.contextClick(SelUtil.findElement(driver, By.xpath(xpath)));\n\t\tbuilder.perform();\n\t}", "private void menu_lable_1MouseClicked(java.awt.event.MouseEvent evt) {//GEN-FIRST:event_menu_lable_1MouseClicked\n // TODO add your handling code here:\n new Interface_Payment().setVisible(true);\n this.dispose();\n }", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\topenMacrosCalculator(v);\n\t\t\t\t\n\t\t\t}", "public void ClickIVANSInformationPage() {\r\n\t\tivansinfo.click();\r\n\t\t\tLog(\"Clicked the \\\"IVANS Information\\\" button on the Birthdays page\");\r\n\t}", "@When(\"^Click on Compose hyperlink icon$\")\npublic void click_on_Compose_hyperlink_icon() throws Throwable \n{\n\tWebElement p=driver.findElement(By.partialLinkText(\"Compose\"));\n p.click();\n System.out.println(\"Page title after link click : \" + driver.getTitle());\n \n\n\n}", "@Override\n\t\t\tpublic void actionPerformed(ActionEvent e) {\n\t\t\t\tif (isDetailed) {\n\t\t\t\t\tcloseDetail();\n\t\t\t\t} else {\n\t\t\t\t\tshowDetail();\n\t\t\t\t}\n\t\t\t}", "@Override\n public void onClick(View view) {\n Intent intent = new Intent(context, ProdDescActivity.class);\n context.startActivity(intent);\n }", "@Override\r\n\t\tpublic void onClick(View v) {\n\t\t\tswitch (v.getId()) {\r\n\t\t\tcase R.id.liscli_shopName:\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\r\n\t\t}", "@Override\n public void onExpandingClick(View v) {\n View view = v.findViewById(R.id.image);\n Travel travel = generateTravelList().get(viewPager.getCurrentItem());\n startInfoActivity(view,travel);\n }", "public void clickDeleteButtonOnPopUp() {\n getLogger().info(\"Click Delete Button on PopUp windows.\");\n WebElement popUpDiv = getDriver().findElement(By.xpath(\"//div[starts-with(@id, 'categoryModel')and contains(@style,'display: block')]\"));\n hoverElement(deletedToDoButtonEle, \"Delete ToDo button\");\n waitForClickableOfElement(deletedToDoButtonEle, \"Delete ToDo Button\");\n clickElement(deletedToDoButtonEle, \"Delete ToDo button\");\n waitForCssValueChanged(popUpDiv, \"PopUp Windows\", \"display\", \"none\");\n }", "public void ClickShowMoreOptions(){ \r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Show More Option Button should be clicked\");\r\n\t\ttry{ \r\n\t\t\tclick(locator_split(\"btnShowMoreOptions\")); \r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Show More Option Button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Show More Option Button is not clicked or Not Available\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnShowMoreOptions\")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\t}", "@Override\r\npublic void afterClickOn(WebElement arg0, WebDriver arg1) {\n\tSystem.out.println(\"as\");\r\n}", "public void mouseClicked(MouseEvent e)\n {\n displaySelectedQuestion();\n }", "public void clickViewCart(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- ViewCart button should be clicked\");\r\n\t\ttry{\r\n\t\t\twaitForPageToLoad(25);\r\n\t\t\twaitForElement(locator_split(\"BybtnSkuViewCart\"));\r\n\t\t\tclick(locator_split(\"BybtnSkuViewCart\"));\r\n\t\t\twaitForPageToLoad(25);\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- ViewCart button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- ViewCart button is not clicked \"+elementProperties.getProperty(\"BybtnSkuViewCart\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"BybtnSkuViewCart\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t} \r\n\t}" ]	[ "0.6716568", "0.6679185", "0.65249544", "0.6401221", "0.6379347", "0.62190294", "0.6214587", "0.61660194", "0.6163652", "0.61285436", "0.6084744", "0.60820884", "0.6075511", "0.60639066", "0.59978664", "0.59778446", "0.59498364", "0.5942362", "0.59106636", "0.5904809", "0.5890857", "0.58860284", "0.5879875", "0.58582455", "0.585652", "0.58085126", "0.58027154", "0.5793703", "0.57644767", "0.57606125", "0.57542163", "0.57422465", "0.5722699", "0.57179344", "0.5709373", "0.5687946", "0.5683782", "0.5662834", "0.56574", "0.56537765", "0.56510645", "0.56510127", "0.56467843", "0.5640024", "0.5635595", "0.5631317", "0.56284887", "0.5626851", "0.5624761", "0.5619883", "0.56178546", "0.5615411", "0.56132025", "0.56103563", "0.5595353", "0.55802906", "0.55793095", "0.5571851", "0.55647314", "0.5556004", "0.55553347", "0.55539066", "0.5540751", "0.55290186", "0.5511107", "0.5510251", "0.5508193", "0.5504081", "0.55013204", "0.54943556", "0.5490303", "0.5485867", "0.548437", "0.5481508", "0.5477498", "0.5477262", "0.5466166", "0.5464278", "0.54605246", "0.54576945", "0.5445523", "0.5439059", "0.5427429", "0.5423966", "0.5421285", "0.54175514", "0.54120433", "0.54034454", "0.5402696", "0.5401059", "0.5395842", "0.53921974", "0.53799945", "0.5378071", "0.5375377", "0.5373578", "0.5370431", "0.53654516", "0.5360898", "0.5356548" ]	0.7359796	0
Get the Product Label Accordion	public synchronized WebElement ProductInfomationAccordionLabel() throws Exception { return utils.findElementByLocator(driver, "PDP_ProductInfomationAccordionLabel", "\| PDP:Product Infomation Accordion Label not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public String getProductLabel(){\n return productLabel.getText().trim();\n }", "private RLabel getProductLabel() {\n if (productLabel == null) {\n productLabel = new RLabel();\n productLabel.setText(\"<%= ivy.cms.co(\\\"/Dialogs/about/product\\\") %>\");\n productLabel.setStyleProperties(\"{/insetsTop \\\"2\\\"}\");\n productLabel.setName(\"productLabel\");\n }\n return productLabel;\n }", "private RLabel getJavaProductLabel() {\n if (javaProductLabel == null) {\n javaProductLabel = new RLabel();\n javaProductLabel.setText(\"<%= ivy.cms.co(\\\"/Dialogs/about/javaProduct\\\") %>\");\n javaProductLabel.setStyleProperties(\"{/insetsTop \\\"2\\\"}\");\n javaProductLabel.setName(\"javaProductLabel\");\n }\n return javaProductLabel;\n }", "public synchronized WebElement ProductInfomationAccordionDescription() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductInfomationAccordionDescription\",\n\t\t\t\t\"\| PDP:Product Description Accordion not present\");\n\t}", "public synchronized WebElement productInfomationAccordionDetail() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductInfomationAccordionDetail\",\n\t\t\t\t\"\| PDP:Product Description Accordion Infomation div not present\");\n\t}", "private RLabel getDbProductLabel() {\n if (dbProductLabel == null) {\n dbProductLabel = new RLabel();\n dbProductLabel.setText(\"<%= ivy.cms.co(\\\"/Dialogs/about/databaseProduct\\\") %>\");\n dbProductLabel.setStyleProperties(\"{/insetsTop \\\"2\\\"}\");\n dbProductLabel.setName(\"dbProductLabel\");\n }\n return dbProductLabel;\n }", "public String getLabel() {\n return getElement().getChildren()\n .filter(child -> child.getTag().equals(\"label\")).findFirst()\n .get().getText();\n }", "@Override\n public String getCategoryLabel() {\n return categoryLabel;\n }", "String getLabel();", "String getLabel();", "public String getLabel();", "public String getLabel();", "public String getLabel();", "public String getLabel();", "public java.lang.String getLabel();", "java.lang.String getLabel();", "Label getLabel();", "Label getLabel();", "Label getLabel();", "public synchronized WebElement fabricCareAccordionLabel() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_FabricInfoLabel\",\n\t\t\t\t\"\| PDP:Fabric Label Accordion Infomation div not present\");\n\t}", "String nameLabel();", "public String getContextualizedLabel() {\n\t\tString completeLbl = CodeUnit.getLabel(getRepo(), getArtFrag(), null, true);//this.getLabel();\r\n\t\t\r\n\t\t// strip number for anon class (shows in tooltip)\r\n\t\tif (RSECore.isAnonClassName(completeLbl))\r\n\t\t\tcompleteLbl = RSECore.stripAnonNumber(completeLbl);\r\n\t\t\r\n\t\tTitledArtifactEditPart parentTAFEP = this.getParentTAFEP();\r\n\t\tif (parentTAFEP != null) {\r\n\t\t\tString contextLbl = null;\r\n\t\t\tcontextLbl = getCntxLabel(parentTAFEP);\r\n\t\t\tif (completeLbl.startsWith(contextLbl) && !contextLbl.equals(\".\")) {\r\n\t\t\t\tcompleteLbl = completeLbl.substring(contextLbl.length());\r\n\t\t\t}\r\n\t\t}\r\n\t\tcompleteLbl = strTruncEnd(completeLbl, \".\");\r\n\t\tcompleteLbl = strTruncBeg(completeLbl, \".\");\r\n\t\tif (completeLbl.length() == 0) completeLbl = \".\";\r\n\t\treturn completeLbl;\r\n\t}", "String getCaption();", "public String getLabelText();", "public String getLabel() {\r\n return lbl;\r\n }", "public CharSequence getSelectedLabel()\n\t{\n\t\treturn _current.label.getText();\n\t}", "public String getLabel() {\r\n return layout.label;\r\n }", "public String getLabel(){\n return label;\n }", "public String getLabel() {\n return name().toLowerCase().replace(\"_\", \"\");\n }", "public synchronized void click_productInfomationAccordianLabel() throws Exception {\n\t\tutils.clickWebElement(driver, ProductInfomationAccordionLabel(),\n\t\t\t\t\"Product Infomation Accordion Label not found\");\n\n\t}", "public String getLabel()\n { \n return label;\n }", "private javax.swing.JLabel getJLabelTitle() {\n\tif (JLabelTitle == null) {\n\t\ttry {\n\t\t\tJLabelTitle = new javax.swing.JLabel();\n\t\t\tJLabelTitle.setName(\"JLabelTitle\");\n\t\t\tJLabelTitle.setFont(new java.awt.Font(\"dialog\", 1, 18));\n\t\t\tJLabelTitle.setText(\"License\");\n\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t}\n\treturn JLabelTitle;\n}", "public String getLabel() {\n\t\t// just return item text until we get the grade levels straighted out for\n\t\t// comm_core\n\t\treturn this.itemText;\n\t\t/\n\t\t * if (this.label == null) { if (this.getLevel() == 1) { this.label =\n\t\t * this.itemText; } else if (this.getIsLeafNode()) { this.label = \"[\" +\n\t\t * this.getGradeRange() + \"] \" + this.itemText; } else { this.label =\n\t\t * this.itemText + \" [\" + this.getGradeRange() + \"]\"; } } return this.label;\n\t\t /\n\t}", "public abstract String getLabel();", "public String getLabel() {\n return label;\n }", "public String getCategoriaDescripcion();", "public Object getLabel() \n {\n return label;\n }", "@Override\n\tpublic String getShortLabel()\n\t{\n\t\treturn label;\n\t}", "private String getLabel() {\n return this.label;\n }", "public String getLabel() {\n return label;\n }", "public String getLabel()\n {\n return label;\n }", "@Override\n public String getLabel() {\n return label;\n }", "public String label() {\n return this.label;\n }", "private String getPropertyLabel() {\n return itemPropertyDescriptor.getDisplayName(eObject);\n }", "public abstract String getLabelText();", "String getFormFieldLabel();", "public String getLabel()\n {\n return label;\n }", "String productKind();", "java.lang.String getViewsLabel();", "public ComponentLabel getComponentLabel() {\n\t\treturn componentLabel;\n\t}", "public String getLabel(){\n\t\treturn label;\n\t}", "public String getLabelName() {\r\n if( this.jlblHolder != null )\r\n return this.jlblHolder.getText();\r\n else\r\n return label;\r\n }", "public String getLabel()\r\n {\r\n return label;\r\n }", "public String getLabel()\r\n {\r\n return label;\r\n }", "String getLabel() {\n return label;\n }", "public String getLabel() {\n return label;\n }", "java.lang.String getProductDescription();", "String currentProduct() {\n if (PageFlowContext.getPolicy() != null && PageFlowContext.getPolicy().getProductTypeId() != null) {\n return PageFlowContext.getPolicy().getProductTypeId();\n } else {\n return \"\";\n }\n }", "@Transient\n\tpublic String getCaption(){\n\t return \"[\" + getCode() + \"] \" + getName();\n\t}", "public String getLabel() {\r\n return label;\r\n }", "public String getLabel() {\r\n return label;\r\n }", "public String getLabel() {\r\n return label;\r\n }", "public String getLabel() {\r\n return label;\r\n }", "public String getName(){\n return category;\n }", "private javax.swing.JLabel getLblOSName() {\n\tif (ivjLblOSName == null) {\n\t\ttry {\n\t\t\tivjLblOSName = new javax.swing.JLabel();\n\t\t\tivjLblOSName.setName(\"LblOSName\");\n\t\t\tivjLblOSName.setText(\"Name:\");\n\t\t\tivjLblOSName.setBounds(10, 20, 140, 14);\n\t\t\t// user code begin {1}\n ivjLblOSName.setText(ResourceManager.getResource(PlatformInfoPanel.class, \"LblOSName_text\"));\n\t\t\t// user code end\n\t\t} catch (java.lang.Throwable ivjExc) {\n\t\t\t// user code begin {2}\n\t\t\t// user code end\n\t\t\thandleException(ivjExc);\n\t\t}\n\t}\n\treturn ivjLblOSName;\n}", "public String getLabel()\n {\n return m_label;\n }", "java.lang.String getThumbsDownLabel();", "public String getParentLabel(){\n\t\treturn this.parentLabel;\n\t}", "public L getLabel() {\n\t\tcheckRep();\n\t\treturn this.label;\n\t}", "public String getLabel() {\n return this.label;\n }", "public String getLabel() {\n return this.label;\n }", "public String getLabel() {\n return this.label;\n }", "public String getLabel() {\n return this.label;\n }", "public String getfirstVolumeDiscountonProductDetailPage()\n\t{\n\t\twaitForVisibility(firstVolumeDiscountonProductDetailPage);\n\t\treturn firstVolumeDiscountonProductDetailPage.getText();\n\t}", "public String getTitlePopup() {\n/ 136 / return getCOSObject().getString(COSName.T);\n/ */ }", "public String getLabel() {\n return label;\n }", "public String getLabel() {\n return label;\n }", "public String getLabel() {\n return label;\n }", "public String getLabelText(){\n\t\treturn syncExec(new StringResult() {\t\t\n\t\t\t@Override\n\t\t\tpublic String run() {\n\t\t\t\tControl[] aux = widget.getParent().getChildren();\n\t\t\t\tfor (Control control : aux) {\n\t\t\t\t\tif (control instanceof CLabel){\n\t\t\t\t\t\treturn ((CLabel)control).getText();\n\t\t\t\t\t}\n\t\t\t\t\tif (control instanceof Label){\n\t\t\t\t\t\treturn ((Label)control).getText();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\treturn null;\n\t\t\t}\n\t\t});\n\t}", "public javax.accessibility.Accessible getAccessibleCaption() {\n // Not yet supported.\n return null;\n }", "com.microsoft.schemas.xrm._2011.contracts.Label getLabel();", "public String getLabel() {\n return this.label;\n }", "public HTMLLabelElement getElementLabelNombre() { return this.$element_LabelNombre; }", "public HTMLLabelElement getElementLabelNombre() { return this.$element_LabelNombre; }", "public String getLabel()\n\t{\n\t\treturn label;\n\t}", "public String getLabel() {\n\t\treturn myLabel;\n\t}", "String getComponentName();", "String getComponentName();", "public com.walgreens.rxit.ch.cda.StrucDocCaption getCaption()\n {\n synchronized (monitor())\n {\n check_orphaned();\n com.walgreens.rxit.ch.cda.StrucDocCaption target = null;\n target = (com.walgreens.rxit.ch.cda.StrucDocCaption)get_store().find_element_user(CAPTION$0, 0);\n if (target == null)\n {\n return null;\n }\n return target;\n }\n }", "public Label getLabel() {\n return this.label;\n }", "public JLabel getLabel() {\n return label;\n }", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "@DISPID(74)\r\n\t// = 0x4a. The runtime will prefer the VTID if present\r\n\t@VTID(72)\r\n\tjava.lang.String label();", "public Label getLabel() {\n\t\treturn label;\n\t}", "public Label getLabel() {\n\t\treturn label;\n\t}", "private RLabel getBuildLabel() {\n if (buildLabel == null) {\n buildLabel = new RLabel();\n buildLabel.setText(\"<%= ivy.cms.co(\\\"/Dialogs/about/productBuild\\\") %>\");\n buildLabel.setStyleProperties(\"{/insetsTop \\\"2\\\"}\");\n buildLabel.setName(\"buildLabel\");\n }\n return buildLabel;\n }", "public JLabel getLabel() {\n return this.label;\n }" ]	[ "0.65738654", "0.65334296", "0.6408448", "0.63344485", "0.61242455", "0.5959659", "0.59148467", "0.5821022", "0.5767127", "0.5767127", "0.57478446", "0.57478446", "0.57478446", "0.57478446", "0.57451314", "0.5738779", "0.5677037", "0.5677037", "0.5677037", "0.56579447", "0.5635354", "0.5629632", "0.56221837", "0.562024", "0.56056046", "0.5600985", "0.5533454", "0.551555", "0.55042326", "0.54937863", "0.5487441", "0.54777133", "0.5445138", "0.5411907", "0.5406274", "0.5402732", "0.53937596", "0.5385533", "0.5383963", "0.53803", "0.537717", "0.53725654", "0.53723043", "0.53655136", "0.5364161", "0.53494704", "0.5345934", "0.53398514", "0.5336509", "0.53363514", "0.53342044", "0.5330186", "0.53189605", "0.53189605", "0.53092086", "0.53037846", "0.529766", "0.5291008", "0.5289785", "0.5287639", "0.5287639", "0.5287639", "0.52828395", "0.52779627", "0.5274039", "0.5268111", "0.5250896", "0.52494514", "0.52493685", "0.5246227", "0.5246227", "0.5246227", "0.5246227", "0.52392274", "0.5235617", "0.5234483", "0.5234483", "0.5234483", "0.52320313", "0.5227038", "0.5225858", "0.5209552", "0.5207362", "0.5207362", "0.52072", "0.51960045", "0.5192182", "0.5192182", "0.51899284", "0.5188702", "0.51875305", "0.5186779", "0.5186779", "0.5186779", "0.5186779", "0.51727104", "0.5167884", "0.5167884", "0.516697", "0.51571554" ]	0.71233857	0
Get the Product Infomation Description Accordion	public synchronized WebElement ProductInfomationAccordionDescription() throws Exception { return utils.findElementByLocator(driver, "PDP_ProductInfomationAccordionDescription", "\| PDP:Product Description Accordion not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public synchronized WebElement productInfomationAccordionDetail() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductInfomationAccordionDetail\",\n\t\t\t\t\"\| PDP:Product Description Accordion Infomation div not present\");\n\t}", "java.lang.String getProductDescription();", "public synchronized WebElement ProductInfomationAccordionLabel() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ProductInfomationAccordionLabel\",\n\t\t\t\t\"\| PDP:Product Infomation Accordion Label not present\");\n\t}", "String getDisplay_description();", "x0401.oecdStandardAuditFileTaxPT1.SAFPTProductDescription xgetProductDescription();", "public String getProductDescription() {\r\n/* 221 / return this._productDescription;\r\n/ */ }", "public String getDescription()\r\n {\r\n return this.aDescription ;\r\n }", "public String getDescription() {\r\n return Description; \r\n }", "public void clickDescriptionTab() {\r\n\t\t\r\n\t\tString xpath = \"//div[contains(@class,\"+PURCHASING_PRODUCT_WINDOW_CLASS+\")]//span[text()='Description']\";\r\n\t\t\r\n\t\tWebDriverWait wait = new WebDriverWait(driver,20);\r\n\t\twait.until(ExpectedConditions.elementToBeClickable(By.xpath(xpath)));\r\n\t\t\r\n\t\tMcsElement.getElementByAttributeValueAndParentElement(driver, \"div\",\r\n\t\t\t\t\"@class\", PURCHASING_PRODUCT_WINDOW_CLASS, \"span\", \"text()\",\r\n\t\t\t\t\"Description\", true, true).click();\r\n\r\n\t}", "String getDesc();", "public String getCategoriaDescripcion();", "public String getDescr() {\r\n return descr;\r\n }", "public String getDescription() { \n\t\treturn getDescriptionElement().getValue();\n\t}", "public String getDescription() { \n\t\treturn getDescriptionElement().getValue();\n\t}", "@Override\n\tpublic java.lang.String getDescription() {\n\t\treturn _lineaGastoCategoria.getDescription();\n\t}", "String getDetailedDescription() {\n return context.getString(detailedDescription);\n }", "java.lang.String getDesc();", "public String getDesc()\r\n {\r\n return description;\r\n }", "public String getDescription()\r\n\t{\r\n\t\treturn motel.getDescription() + \"Food Bar Refill\";\r\n\t}", "public String getDescription() {\r\n return _description;\r\n }", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getCategoryDescription() {\n return categoryDesc;\n }", "public String getDescription() {\n return description; \n }", "public abstract String getContentDescription();", "@Override\n\tpublic String getdescription() {\n\t\treturn this.description.getDesc();\n\t}", "public String getDescription()\r\n {\r\n return description;\r\n }", "public String getDescription()\r\n\t{\treturn this.description;\t}", "public String getDescription() {\n return this.Description;\n }", "public String getDescription() {\n\t\treturn (String) get_Value(\"Description\");\n\t}", "public String getDescription() {\n\t\treturn (String) get_Value(\"Description\");\n\t}", "public String getDescription() {\n\t\treturn (String) get_Value(\"Description\");\n\t}", "public String getDescription() {\n\t\treturn (String) get_Value(\"Description\");\n\t}", "public String getDescription()\r\n\t{\r\n\t\treturn description;\r\n\t}", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "public String getDescription()\n {\n return description;\n }", "public String getDescription() {\n return description;\n }", "public String getDescription(){\n return getString(KEY_DESCRIPTION);\n }", "public String getDescription() {\n return mDescription;\n }", "public RichText getDescr();", "public String getDescription() {\n if (description == null) {\n description = Description.getDescription(this);\n }\n return description;\n }" ]	[ "0.77983177", "0.69049025", "0.68759036", "0.6579274", "0.6475606", "0.64481676", "0.63357306", "0.6330047", "0.6317606", "0.6316255", "0.628602", "0.6262384", "0.6257835", "0.6257835", "0.62409717", "0.62242556", "0.6209361", "0.6193554", "0.61818045", "0.6177206", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61620367", "0.61574066", "0.61535645", "0.61503476", "0.61474013", "0.6126386", "0.6124621", "0.61239076", "0.61187077", "0.61187077", "0.61187077", "0.61187077", "0.61150515", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.611038", "0.6109353", "0.6108737", "0.6105733", "0.6100923", "0.60982025", "0.6093795" ]	0.8282182	0
Get the Fabric Care label	public synchronized WebElement fabricCareAccordionLabel() throws Exception { return utils.findElementByLocator(driver, "PDP_FabricInfoLabel", "\| PDP:Fabric Label Accordion Infomation div not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "com.microsoft.schemas.xrm._2011.contracts.Label getLabel();", "protected String getCntxLabel(ContainableEditPart editPart) {\r\n\t\tif (editPart instanceof StrataRootEditPart)\r\n\t\t\treturn ((TitledArtifactEditPart) editPart).getCommonContextLabel();\r\n\t\telse\r\n//\t\t\treturn strTruncEnd(CodeUnit.getLabelWithContext(getRepo(), editPart.getArtFrag()), \".\") + \".\";\r\n\t\t\treturn strTruncEnd(CodeUnit.getLabel(getRepo(), editPart.getArtFrag(), null, true), \".\") + \".\";\r\n\t}", "String getLabel();", "String getLabel();", "java.lang.String getLabel();", "public String getCpf() {\n return cpf;\n }", "com.microsoft.schemas.xrm._2011.contracts.Label getDescription();", "public String getFabComp() {\n return (String)getAttributeInternal(FABCOMP);\n }", "public String getFabComp() {\n return (String)getAttributeInternal(FABCOMP);\n }", "public java.lang.String getLabel();", "com.google.ads.googleads.v6.resources.CustomerLabel getCustomerLabel();", "public String getContextualizedLabel() {\n\t\tString completeLbl = CodeUnit.getLabel(getRepo(), getArtFrag(), null, true);//this.getLabel();\r\n\t\t\r\n\t\t// strip number for anon class (shows in tooltip)\r\n\t\tif (RSECore.isAnonClassName(completeLbl))\r\n\t\t\tcompleteLbl = RSECore.stripAnonNumber(completeLbl);\r\n\t\t\r\n\t\tTitledArtifactEditPart parentTAFEP = this.getParentTAFEP();\r\n\t\tif (parentTAFEP != null) {\r\n\t\t\tString contextLbl = null;\r\n\t\t\tcontextLbl = getCntxLabel(parentTAFEP);\r\n\t\t\tif (completeLbl.startsWith(contextLbl) && !contextLbl.equals(\".\")) {\r\n\t\t\t\tcompleteLbl = completeLbl.substring(contextLbl.length());\r\n\t\t\t}\r\n\t\t}\r\n\t\tcompleteLbl = strTruncEnd(completeLbl, \".*\");\r\n\t\tcompleteLbl = strTruncBeg(completeLbl, \".\");\r\n\t\tif (completeLbl.length() == 0) completeLbl = \".\";\r\n\t\treturn completeLbl;\r\n\t}", "public CharSequence getLabel() {\n // TODO: Go through LauncherAppsService\n return getActivityInfo().loadLabel(mPm);\n }", "@DISPID(32)\r\n\t// = 0x20. The runtime will prefer the VTID if present\r\n\t@VTID(37)\r\n\tjava.lang.String label();", "public String getLabelText(){\n\t\treturn syncExec(new StringResult() {\t\t\n\t\t\t@Override\n\t\t\tpublic String run() {\n\t\t\t\tControl[] aux = widget.getParent().getChildren();\n\t\t\t\tfor (Control control : aux) {\n\t\t\t\t\tif (control instanceof CLabel){\n\t\t\t\t\t\treturn ((CLabel)control).getText();\n\t\t\t\t\t}\n\t\t\t\t\tif (control instanceof Label){\n\t\t\t\t\t\treturn ((Label)control).getText();\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\treturn null;\n\t\t\t}\n\t\t});\n\t}", "public String getLabel();", "public String getLabel();", "public String getLabel();", "public String getLabel();", "public String getlbr_CPF();", "public org.drip.state.identifier.EntityCDSLabel creditLabel()\n\t{\n\t\treturn _lsPeriod.get (0).creditLabel();\n\t}", "public String getFabric() {\n return fabric;\n }", "@DISPID(74)\r\n\t// = 0x4a. The runtime will prefer the VTID if present\r\n\t@VTID(72)\r\n\tjava.lang.String label();", "String nameLabel();", "public String getTextAccumulatorLabel() {\r\n\t\tString str = safeGetText(vehicleName.replace(\"Vehicle Name\", \"Accumulater\"), SHORTWAIT);\r\n\t\treturn str;\r\n\t}", "public String getFabCons() {\n return (String)getAttributeInternal(FABCONS);\n }", "public String label() {\n\t\treturn \"LABEL_\" + (labelCount++);\n\t}", "public String getLabel()\n { \n return label;\n }", "public String getLabel() {\n return name().toLowerCase().replace(\"_\", \"\");\n }", "public String getLabel()\n {\n return label;\n }", "public String getLabel() {\n return getElement().getChildren()\n .filter(child -> child.getTag().equals(\"label\")).findFirst()\n .get().getText();\n }", "public String getLabel(){\n return channelLabel;\n }", "public Label getLabel() {\n return pkgBuilder.getBuildFileLabel();\n }", "public String getLabel() {\n\t String name = getLiteralValue(Foaf.NAME);\n\t \n\t if (name == null) {\n\t name = getLiteralValue(Foaf.GIVENNAME);\n\t }\n\t \n\t if (name == null) {\n\t name = getLiteralValue(RDFS.label);\n\t }\n\t \n\t if (name == null) {\n\t return getURI();\n\t }\n\t return name;\n }", "private RLabel getBuildLabel() {\n if (buildLabel == null) {\n buildLabel = new RLabel();\n buildLabel.setText(\"<%= ivy.cms.co(\\\"/Dialogs/about/productBuild\\\") %>\");\n buildLabel.setStyleProperties(\"{/insetsTop \\\"2\\\"}\");\n buildLabel.setName(\"buildLabel\");\n }\n return buildLabel;\n }", "com.google.ads.googleads.v6.resources.Label getLabel();", "public String toString() {\n return label;\n }", "public String getLabel(){\n return label;\n }", "@Override\n public java.lang.String getLabelToDisplay() throws G2AccessException {\n java.lang.Object retnValue = getAttributeValue (SystemAttributeSymbols.LABEL_TO_DISPLAY_);\n return (java.lang.String)retnValue;\n }", "public String getLabel() {\n return label;\n }", "public String getLabel() { //gets the label\n\n\t\treturn rawLabel;\n\t}", "public String getLabel() {\n return AsteriskUtlities.toContextIdentifier(username + \"-\" + company);\n }", "public String getLabelText();", "public\t\tMiPart\t\tgetLabel()\n\t\t{\n\t\treturn(label);\n\t\t}", "String getShapeLabel();", "public static String getCarrierName(Context context) {\n String carrier_name = context.getResources().getText(R.string.carrier_name).toString();\n Log.d(\"ContactsUtils\", \"carrier_name = \"+carrier_name);\n return carrier_name;\n }", "public String getLabel()\r\n {\r\n return label;\r\n }", "public String getLabel()\r\n {\r\n return label;\r\n }", "public final String getLabelCode() {\r\n\t\tString label = this.label;\r\n\t\tif (StringUtil.isEmpty(label))\r\n\t\t\treturn \"\";\r\n\t\tStringBuilder labelCode = new StringBuilder();\r\n\t\tint startIndex = 0;\r\n\t\tfor (int i=0; i<label.length();i++) {\r\n\t\t\tif (label.charAt(i) >= 'A' && label.charAt(i)<= 'Z') {\r\n\t\t\t\tif (startIndex!=0) {\r\n\t\t\t\t\tlabelCode.deleteCharAt(startIndex-1);\r\n\t\t\t\t\tlabelCode.append(\"-\");\r\n\t\t\t\t}\r\n\t\t\t\tlabelCode.append(label.substring(startIndex, i).toLowerCase());\r\n\t\t\t\tstartIndex = i;\t\t\t\t\r\n\t\t\t}\r\n\t\t}\r\n\t\tif (startIndex<label.length()) {\r\n\t\t\tif (startIndex!=0) {\r\n\t\t\t\tlabelCode.deleteCharAt(startIndex-1);\r\n\t\t\t\tlabelCode.append(\"-\");\r\n\t\t\t}\r\n\t\t\tlabelCode.append(label.substring(startIndex).toLowerCase());\r\n\t\t}\r\n\t\treturn labelCode.toString();\r\n\t}", "@Override\n\t\t\tpublic String getName() {\n\t\t\t\treturn cf.getName();\n\t\t\t}", "@Override\n\t\t\tpublic String getName() {\n\t\t\t\treturn cf.getName();\n\t\t\t}", "com.google.ads.googleads.v6.resources.CampaignLabel getCampaignLabel();", "private RLabel getIconLabel() {\n if (iconLabel == null) {\n iconLabel = new RLabel();\n iconLabel.setStyle(\"border-all\");\n iconLabel.setIconUri(\"<%=ivy.cms.cr(\\\"/Icons/Large/error\\\")%>\");\n iconLabel.setStyleProperties(\"{/anchor \\\"NORTHWEST\\\"}\");\n iconLabel.setName(\"iconLabel\");\n }\n return iconLabel;\n }", "public String getFormattedReceiptLabel() {\t \n\t String receiptLabel = res.getString(getReceiptLabel().getKey());\t \n\t int numberOfSpaces = ((totalLength - receiptLabel.length()) / 2);\t \n\t String prefix = \"\";\n\t String postfix = \"\";\n\t for(int i = 0; i < numberOfSpaces; i++) {\n\t\t prefix += \" \";\n\t\t postfix += \" \";\n\t }\n\t receiptLabel = prefix + receiptLabel + postfix;\t \n\t return receiptLabel;\n }", "public String getLabel() {\n return _label == null ? name() : _label;\n }", "public String getLabel()\n {\n return label;\n }", "String getFormFieldLabel();", "Label getLabel();", "Label getLabel();", "Label getLabel();", "public String toString()\n {\n return label;\n }", "public String getLabel() {\n return label;\n }", "public String getLabel() {\r\n return label;\r\n }", "public String getLabel() {\r\n return label;\r\n }", "public String getLabel() {\r\n return label;\r\n }", "public String getLabel() {\n return label;\n }", "String getCName() {\n return nameTF.getText();\n }", "public String getLabel() {\r\n return label;\r\n }", "public abstract String getLabel();", "public String getLabel() {\n return label;\n }", "public String getLabel() {\n return label;\n }", "public String getLabel() {\n return label;\n }", "public String getCPF() {\n return this.CPF;\n }", "public final String getFci() {\n return String.valueOf(fci);\n }", "public String getLabel(){\n\t\treturn label;\n\t}", "public String bkD() {\n return CommonUtils.g(CommonUtils.cz(this.nP.getContext()));\n }", "String getVersionLabel();", "public final String getLabel() {\n\t\treturn _label;\n\t}", "public static String choicelabel() {\n\t\treturn null;\n\t}", "public String getLabel()\n\t{\n\t\treturn label;\n\t}", "String getLabel() {\n return label;\n }", "public org.drip.state.identifier.FXLabel fxLabel()\n\t{\n\t\treturn _lsPeriod.get (0).fxLabel();\n\t}", "public String label() {\n return this.label;\n }", "public String getLabel() {\n return label == null ? StringUtils.EMPTY : label;\n }", "private String getLabelFormat(final Specimen objSpecimen, StringBuffer buffer)\r\n\t{\r\n\t\tString labelFormat = \"\";\r\n\t\tif(objSpecimen.getSpecimenRequirement() != null)\r\n\t\t{\r\n\t\t\tif(objSpecimen.getSpecimenRequirement().getLabelFormat().contains(\"%CP_DEFAULT%\"))\r\n\t\t\t{\r\n//\t\t\t\tlabelFormat=objSpecimen.getSpecimenCollectionGroup().getCollectionProtocolRegistration().getCollectionProtocol().getSpecimenLabelFormat();\r\n\t\t\t\tlabelFormat = getSpecimenLabelFormat(objSpecimen);\r\n\t\t\t}\r\n\t\t\telse if(!objSpecimen.getSpecimenRequirement().getLabelFormat().contains(\"%CP_DEFAULT%\"))\r\n\t\t\t{\r\n\t\t\t\tlabelFormat = objSpecimen.getSpecimenRequirement().getLabelFormat();\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\telse if(objSpecimen.getSpecimenRequirement() == null)\r\n\t\t{\r\n\t\t\tlabelFormat = getSpecimenLabelFormat(objSpecimen);\r\n\t\t}\r\n\r\n\t\treturn labelFormat;\r\n\t}", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getLabel() {\r\n\t\tif (label != null)\r\n\t\t\treturn label;\r\n\t\tif (classSimpleName==null)\r\n\t\t\treturn null;\r\n\t\treturn classSimpleName.replace('.', '_');\r\n\t}", "private String getLabel(String labelAudit) {\n\t\tString label = null;\n\t\tif(labelForAuditLabel.containsKey(labelAudit)) {\n\t\t\tlabel = labelForAuditLabel.get(labelAudit);\n\t\t\tif(label != null) {\n\t\t\t\tif(label.isEmpty())\n\t\t\t\t\tlabel = null;\n\t\t\t\telse\n\t\t\t\t\tlabel = messageSource.getMessage(label, null, Locale.getDefault());\n\t\t\t\t\t//messageSource.getMessage(\"label.dati_verbale\", values, Locale.getDefault())\n\t\t\t}\n\t\t} else {\n\t\t\t//LOGGER.info(\"label_mancante\");\n\t\t\tLOGGER.info(labelAudit);\n\t\t\tlabel = \"??key \" + labelAudit + \" not found??\";\n\t\t}\n\t\treturn label;\n\t}", "public String getLabel() {\n\t\treturn label;\n\t}", "public String getLabel() {\r\n return lbl;\r\n }", "String getBrickName();", "public Object getLabel() \n {\n return label;\n }", "public static String getFork() {\n\t\treturn \"SpareTimeLabs\";\n\t}", "@Override\n\tpublic String toString() {\n\t\treturn label;\n\t}", "@Override\n\t\t\tpublic String getLabel() {\n\t\t\t\treturn null;\n\t\t\t}", "String getLocationLabel();", "public L getLabel() {\n\t\tcheckRep();\n\t\treturn this.label;\n\t}" ]	[ "0.6632787", "0.62329423", "0.6075497", "0.6075497", "0.6019687", "0.601897", "0.60168326", "0.6000855", "0.6000855", "0.5993049", "0.5990096", "0.5977836", "0.5951363", "0.5898884", "0.5872837", "0.58532614", "0.58532614", "0.58532614", "0.58532614", "0.5849535", "0.5830477", "0.5824507", "0.57956797", "0.57956046", "0.57332104", "0.57094765", "0.56850195", "0.56510013", "0.5642727", "0.56239027", "0.5619608", "0.56134766", "0.56063473", "0.5604105", "0.56036276", "0.5600702", "0.55996835", "0.55936605", "0.5588209", "0.558067", "0.5575229", "0.5573131", "0.55669165", "0.5562709", "0.5561962", "0.5560954", "0.55604565", "0.55604565", "0.5557103", "0.5553879", "0.5553879", "0.5552781", "0.55527705", "0.5551624", "0.55358374", "0.5532629", "0.5529577", "0.55294186", "0.55294186", "0.55294186", "0.5528969", "0.5527847", "0.55257016", "0.55257016", "0.55257016", "0.5525478", "0.5524378", "0.5509548", "0.550706", "0.5500891", "0.5500891", "0.5500891", "0.5495139", "0.5486384", "0.5481255", "0.5477429", "0.5474498", "0.5466755", "0.5458455", "0.54537135", "0.5442249", "0.54284835", "0.5421976", "0.54113925", "0.54053926", "0.5403138", "0.5403138", "0.5403138", "0.5403138", "0.540193", "0.5395545", "0.5387608", "0.5385141", "0.5379718", "0.537755", "0.53738153", "0.5364997", "0.53643066", "0.5357395", "0.5351479" ]	0.6643097	0
Get the Product infomation inside flyout	public synchronized WebElement productInfomationFlyout() throws Exception { if (Utils.device.equals("mobile")) return utils.findElementByLocator(driver, "PDP_MB_FLyOutProductInfomation", "\|PDP:Product Infomation Flyout not present"); else return utils.findElementByLocator(driver, "PDP_FlyoverProductInfomation", "\| PDP:Product Infomation Flyout not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "Object getProduct();", "String getProduct();", "public java.lang.String getProductInfo () {\n\t\treturn productInfo;\n\t}", "public String getProduct()\n {\n return product;\n }", "public String getProduct() {\n return product;\n }", "public String getProduct() {\n return product;\n }", "Product getPProducts();", "public String getProduct() {\r\n return this.product;\r\n }", "public ProductInfoType getProductInfo() {\n\t return this.productInfo;\n\t}", "ProductProperties productProperties();", "public String getProduct() {\n return this.product;\n }", "public String product() {\n return this.product;\n }", "public Product getProductInfo(int pid) {\nfor (ProductStockPair pair : productCatalog) {\nif (pair.product.id == pid) {\nreturn pair.product;\n}\n}\nreturn null;\n}", "public java.lang.String getProduct() {\n return product;\n }", "java.lang.String getProductDescription();", "@Override\n\tpublic Product getProduct() {\n\t\treturn product;\n\t}", "x0401.oecdStandardAuditFileTaxPT1.ProductDocument.Product getProduct();", "public String getDatabaseProduct();", "String getTheirProductId();", "@Override\r\n public void getProduct() {\r\n\r\n InventoryList.add(new Product(\"Prod1\", \"Shirt\", \"Each\", 10.0, LocalDate.of(2021,03,19)));\r\n InventoryList.add(new Product(\"Prod1\", \"Trousers\", \"Each\", 20.0, LocalDate.of(2021,03,21)));\r\n InventoryList.add(new Product(\"Prod1\", \"Trousers\", \"Each\", 20.0, LocalDate.of(2021,03,29)));\r\n }", "public T getProduct() {\n return this.product;\n }", "@Override\n\tpublic String getName() {\n\t\treturn product.getName();\n\t}", "public Product getProduct() {\n\t\treturn product;\n\t}", "public ProductType getProduct() {\n return product;\n }", "@gw.internal.gosu.parser.ExtendedProperty\n public entity.APDProduct getProduct();", "public String getProductName(){\n return productRelation.getProductName();\n }", "public String getProductName() {\n return productName;\n }", "public String getProductName() {\n return productName;\n }", "public String getProductName() {\n return productName;\n }", "public void printProduct() {\n System.out.println(\"nom_jeu : \" + name);\n System.out.println(\"price : \" + price);\n System.out.println(\"uniqueID : \" + identifier);\n System.out.println(\"stock : \" + stock);\n System.out.println(\"image : \" + image);\n System.out.println(\"genre : \" + genre);\n System.out.println(\"plateforme : \" + platform);\n System.out.println();\n }", "public interface Product {\n /*\n Gets the id property: Fully qualified resource Id for the resource.\n \n @return the id value.\n /\n String id();\n\n /\n Gets the name property: The name of the resource.\n \n @return the name value.\n /\n String name();\n\n /\n Gets the type property: The type of the resource.\n \n @return the type value.\n /\n String type();\n\n /\n Gets the etag property: The entity tag used for optimistic concurrency when modifying the resource.\n \n @return the etag value.\n /\n String etag();\n\n /\n Gets the displayName property: The display name of the product.\n \n @return the displayName value.\n /\n String displayName();\n\n /\n Gets the description property: The description of the product.\n \n @return the description value.\n /\n String description();\n\n /\n Gets the publisherDisplayName property: The user-friendly name of the product publisher.\n \n @return the publisherDisplayName value.\n /\n String publisherDisplayName();\n\n /\n Gets the publisherIdentifier property: Publisher identifier.\n \n @return the publisherIdentifier value.\n /\n String publisherIdentifier();\n\n /\n Gets the offer property: The offer representing the product.\n \n @return the offer value.\n /\n String offer();\n\n /\n Gets the offerVersion property: The version of the product offer.\n \n @return the offerVersion value.\n /\n String offerVersion();\n\n /\n Gets the sku property: The product SKU.\n \n @return the sku value.\n /\n String sku();\n\n /\n Gets the billingPartNumber property: The part number used for billing purposes.\n \n @return the billingPartNumber value.\n /\n String billingPartNumber();\n\n /\n Gets the vmExtensionType property: The type of the Virtual Machine Extension.\n \n @return the vmExtensionType value.\n /\n String vmExtensionType();\n\n /\n Gets the galleryItemIdentity property: The identifier of the gallery item corresponding to the product.\n \n @return the galleryItemIdentity value.\n /\n String galleryItemIdentity();\n\n /\n Gets the iconUris property: Additional links available for this product.\n \n @return the iconUris value.\n /\n IconUris iconUris();\n\n /\n Gets the links property: Additional links available for this product.\n \n @return the links value.\n /\n List<ProductLink> links();\n\n /\n Gets the legalTerms property: The legal terms.\n \n @return the legalTerms value.\n /\n String legalTerms();\n\n /\n Gets the privacyPolicy property: The privacy policy.\n \n @return the privacyPolicy value.\n /\n String privacyPolicy();\n\n /\n Gets the payloadLength property: The length of product content.\n \n @return the payloadLength value.\n /\n Long payloadLength();\n\n /\n Gets the productKind property: The kind of the product (virtualMachine or virtualMachineExtension).\n \n @return the productKind value.\n /\n String productKind();\n\n /\n Gets the productProperties property: Additional properties for the product.\n \n @return the productProperties value.\n /\n ProductProperties productProperties();\n\n /\n Gets the compatibility property: Product compatibility with current device.\n \n @return the compatibility value.\n /\n Compatibility compatibility();\n\n /\n Gets the inner com.azure.resourcemanager.azurestack.fluent.models.ProductInner object.\n \n @return the inner object.\n /\n ProductInner innerModel();\n}", "public String getProductName() {\r\n return productName;\r\n }", "String productKind();", "@GET\n\t@Path(\"{id}\") // http://localhost:8080/myretail-services/products/id/16696652\n\t@Produces(MediaType.TEXT_PLAIN)\n\tpublic String getProductInfo(@PathParam(\"id\") String id) throws JSONException {\n\t\t\n\t\tWebTarget target = ClientBuilder.newClient().target(\"http://redsky.target.com/v2/pdp/tcin/\" + id\n\t\t\t\t+ \"?excludes=taxonomy,price,promotion,bulk_ship,rating_and_review_reviews,rating_and_review_statistics,question_answer_statistics/\");\n\t\tResponse response = target.request().get();\n\t\tString pName = response.readEntity(String.class).toString();\n\n\t\tint b = pName.indexOf(\"general_description\") + BEGOFFSET;\n\t\tint e = pName.indexOf(\"}\", b) - 1;\n\n\t\tJSONObject json = new JSONObject();\n\n\t\tjson.put(\"name\", pName.substring(b, e));\n\t\tjson.put(\"id\", Integer.parseInt(id));\n\t\tjson.put(\"current_price\", new JSONObject(productPrice.getProductPrice(id)));\n\t\treturn json.toString();\n\t}", "public String getProductDescription() {\r\n/ 221 / return this._productDescription;\r\n/ / }", "protected final Product getProduct() {\n Product.Builder product = new Product.Builder()\n .implementationTitle(getClass())\n .implementationVersion(getClass());\n Optional.ofNullable(getClass().getPackage())\n .flatMap(p -> Optional.ofNullable(p.getSpecificationVersion()))\n .map(specVersion -> \"(specification \" + specVersion + \")\")\n .ifPresent(product::comment);\n return product.build();\n }", "public String getProductLine() {\n return productLine;\n }", "public ProductInfo getProductInfo(Element element) {\n ProductInfo productInfo=new ProductInfo();\n Element tmp;\n\n productInfo.setProductId(\n element.attr(\"data-pid\")\n );\n\n tmp=element.select(\"span.score\").first();\n if(tmp!=null)\n productInfo.setProductScore(\n Double.parseDouble(\n element.select(\"span.score\").first().text().replace(\",\",\".\")\n )\n );\n else\n productInfo.setProductScore(0);\n\n String urlI=element.select(\"img[data-src]\").first().attr(\"data-src\");\n productInfo.setProductImageUrl(\n urlI\n );\n\n try {\n urlI = urlI.split(\"/\")[5];\n }\n catch (Exception e){\n urlI=null;\n }\n\n if(urlI!=null)\n productInfo.setProductUrl(\n url + \"/\" +urlI\n );\n\n else\n\n productInfo.setProductUrl(\n element.select(\"a[href]\").first().attr(\"href\")\n );\n\n\n productInfo.setProductName(\n element.select(\"div.list-prod-name\").first().text()\n );\n\n productInfo.setProductBottom(\n Double.parseDouble(\n element.select(\"span.price-int\").first().text()+\n element.select(\"span.price-fraction\").first().text().replace(\",\",\".\")\n )\n );\n\n try{\n productInfo.setProductCategory(\n element.select(\".subcat-type-icon\").first().select(\"img\").first().attr(\"alt\")\n );\n }\n catch (Exception e){\n e.printStackTrace();\n productInfo.setProductCategory(\"Brak\");\n }\n\n\n productInfo.setStocks(\n element.select(\".listing-shops-number\").first().text()\n );\n\n return productInfo;\n }", "public String getName(){\n\t\treturn Name; // Return the product's name\n\t}", "public String getProductReference() {\n return productReference;\n }", "@Override\n\tpublic Product getProduct() {\n\t\tSystem.out.println(\"B生产成功\");\n\t\treturn product;\n\t}", "public String getProductOwner();", "@Override\n\t\tpublic List<ProductInfo> getProducts() {\n\t\t\treturn TargetProducts;\n\t\t}", "@gw.internal.gosu.parser.ExtendedProperty\n public entity.APDProductLine getProductLine();", "public ProductInfo call() throws DataLoadException {\n\t\t\treturn new ProductInfo();\r\n\t\t}", "public ProductModel getProduct()\n\t{\n\t\treturn product;\n\t}", "public String getProductId() ;", "public String getProductId();", "String getProductId();", "Productline_decl getProductline_decl();", "IProductInfo getM_piSelectedItem();", "private List<Product> extractProducts() {\r\n\t\t//load products from hidden fields\r\n\t\tif (this.getListProduct() != null){\r\n\t\t\tfor(String p : this.getListProduct()){\r\n\t\t\t\tProduct product = new Product();\r\n\t\t\t\tproduct.setId(Long.valueOf(p));\r\n\t\t\t\tthis.products.add(product);\r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\treturn this.products;\r\n\t}", "List<PriceInformation> getPriceForProduct(ProductModel product);", "Product getProductDetails(int idproduct) throws DataBaseException;", "public DisplayProductDetails getDisplayProductDetails(final Product product) {\n final DisplayProductDetails productDetails = new DisplayProductDetails();\n if (product != null) {\n // TODO Get product rating details from DB\n \tList<BreadCrumb> breadcrumbList = new LinkedList<BreadCrumb>();\n \t\n \tBreadCrumb breadcrumb1 = new BreadCrumb();\n \tbreadcrumb1.setDisplayText(product.getCategory().getParentCategory().getCategoryName());\n \tbreadcrumb1.setLinkUrl(\"category/\"+product.getCategory().getParentCategory().getCategoryPartNumber());\n \t\n \tBreadCrumb breadcrumb2 = new BreadCrumb();\n \tbreadcrumb2.setDisplayText(product.getCategory().getCategoryName());\n \tbreadcrumb2.setLinkUrl(\"category/\"+product.getCategory().getCategoryPartNumber());\n \t\n \tbreadcrumbList.add(breadcrumb1);\n \tbreadcrumbList.add(breadcrumb2);\n \t\n \tproductDetails.setBreadcrumb(breadcrumbList);\n \tproduct.getCategory().getParentCategory().getCategoryId();\n\n productDetails.setAverageProductRating(new BigDecimal(3));\n productDetails.setProductName(product.getProductName());\n productDetails.setProductId(product.getProductId());\n productDetails.setProductPartNumber(product.getProductPartNumber());\n // If product doesn't have a description use its category description.\n final String productDesc = (product.getProductDescription() != null && !product.getProductDescription().isEmpty()) ? product.getProductDescription()\n : product.getCategory().getDescription();\n productDetails.setProductDescription(productDesc);\n\n // Set the product image and image gallery details\n productDetails.setProductImageGallery(getDisplayProductGallery(product.getProductId()));\n\n // End of setting the product image gallery options .\n\n BigDecimal productPrice = null;\n String currencyCode = null;\n if (product.getProductPrice() != null) {\n productPrice = product.getProductPrice().getPrice();\n currencyCode = product.getProductPrice().getCurrency().getCurrencyCode();\n }\n productDetails.setProductPrice(productPrice);\n productDetails.setProductCurrency(currencyCode);\n // Set the product price options in other currencies .\n final List<ProductPriceOptions> priceOptionsList = getPriceOptionForProduct(product);\n productDetails.setProductPriceOptions(priceOptionsList);\n // End of setting the product price options in other currencies\n\n // Get the product availability info\n final String availability = product.isEnabled() ? ProductAvailability.INSTOCK.getStatusDescription()\n : ProductAvailability.OUTOFSTOCK.getStatusDescription();\n // End of setting the product availability info\n productDetails.setProductAvailablility(availability);\n\n // Get the product specifications\n productDetails.setProductSpecification(getDisplayProductSpecification(product.getProductSpecification()));\n\n }\n return productDetails;\n }", "public StringBuffer getSkuDetail() {\n List<CheckoutCommerceItemBean> commerceItems;\n productsInfo.append(\"\");\n if (null != reviewOrderBean) {\n if (null != reviewOrderBean.getComponent()) {\n if (null != reviewOrderBean.getComponent()\n .getPaymentDetails()) {\n if (null != reviewOrderBean.getComponent()\n .getPaymentDetails().getCommerceItems()) {\n commerceItems = reviewOrderBean.getComponent()\n .getPaymentDetails().getCommerceItems();\n for (int i = 0; i < commerceItems.size(); i++) {\n\n productsInfo.append(commerceItems.get(i)\n .getCatalogRefId());\n productsInfo.append(\";\");\n / sku quantity\n productsInfo.append(commerceItems.get(i)\n .getQuantity());\n productsInfo.append(\";\");/\n productsInfo.append(String.format(\n \"%.2f\", Double.valueOf(commerceItems.get(i)\n .getAmount())));\n if (i != commerceItems.size() - 1) //avoid adding \"\|\" at last product\n productsInfo.append(\"\|\");\n\n }\n\n\n }\n }\n }\n }\n return productsInfo;\n }", "public String getNameProd() {\n\t\treturn nameProd;\n\t}", "@Override\r\n\tpublic List<PayedProduct> getInfoProduct(int zid) {\n\t\tList<PayedProduct> list=null;\r\n\t\ttry {\r\n\t\t\tString sql=\"SELECT FROM payedproduct WHERE PayedProduct_id =? \";\r\n\t\t\treturn qr.query(sql, new BeanListHandler<PayedProduct>(PayedProduct.class),zid);\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO: handle exception\r\n\t\t}\r\n\t\treturn null;\r\n\t}", "@Override\n public String getProductName() {\n return ProductName.REFLECTIONS_II_BOOSTER_PACK;\n }", "DescribeProductResult describeProduct(DescribeProductRequest describeProductRequest);", "public String getProdDetailsName(){\n String prodName = productDetailsName.toString();\n return prodName;\n }", "public java.lang.String getProductName() {\n return productName;\n }", "public String getProductName() {\r\n\t\treturn productName;\r\n\t}", "TradingProduct getTradingProduct();", "@JsonGetter(\"product_details\")\n public ProductData getProductDetails ( ) { \n return this.productDetails;\n }", "public HashMap<String, ProductDTO> displayProductInWishlist() {\n\t\t// TODO Auto-generated method stub\n\t\t\n\t\treturn WishlistDaoImpl.wlist ;\n\t}", "@Override\n public ExtensionResult getProductInfo(ExtensionRequest extensionRequest) {\n String model = getEasyMapValueByName(extensionRequest, \"model\");\n String type = getEasyMapValueByName(extensionRequest, \"type\");\n\n Map<String, String> output = new HashMap<>();\n StringBuilder respBuilder = new StringBuilder();\n\n respBuilder.append(\"Untuk harga mobil \" + model + \" tipe \" + type + \" adalah 800,000,000\\n\");\n respBuilder.append(\"Jika kak {customer_name} tertarik, bisa klik tombol dibawah ini. \\n\");\n respBuilder.append(\"Maka nanti live agent kami akan menghubungi kakak ;)\");\n\n ExtensionResult extensionResult = new ExtensionResult();\n extensionResult.setAgent(false);\n extensionResult.setRepeat(false);\n extensionResult.setSuccess(true);\n extensionResult.setNext(true);\n\n output.put(OUTPUT, respBuilder.toString());\n extensionResult.setValue(output);\n return extensionResult;\n }", "public java.lang.String getProductName () {\r\n\t\treturn productName;\r\n\t}", "public void getProduct() {\n\t\tUtil.debug(\"getProduct\",this);\n\t\ttry {\n\t\t\tinputStream.skip(inputStream.available());\n\t\t} catch (IOException e) {\n\t\t\tUtil.log(e.getStackTrace().toString(),this);\n\t\t\treturn;\n\t\t}\n\t\ttry {\n\t\t\toutputStream.write(new byte[] { 'x', 13 });\n\t\t} catch (IOException e) {\n\t\t\tUtil.log(e.getStackTrace().toString(),this);\n\t\t\treturn;\n\t\t}\n\n\t\t// wait for reply\n\t\tUtil.delay(RESPONSE_DELAY);\n\t}", "ProductCatelogueResponse getProduct(int catelogueId,int productId);", "public String getProductName() {\n\t\treturn productName;\n\t}", "public String getLBR_ProductSource();", "public String PrintProductInformation(int productId)\r\n {\r\n String productInformation = \"\";\r\n Double retail;\r\n boolean productFound = false;\r\n // check if product exists using id\r\n for (int i = 0; i < productArrayList.size(); i++)\r\n {\r\n if (productId == (productArrayList.get(i).getId()))\r\n {\r\n // set the retail price\r\n retail = (productArrayList.get(i).getCost() +\r\n (productArrayList.get(i).getMargin()*productArrayList.get(i).getCost()/100));\r\n // add product details to productInformation string\r\n productInformation += \"Id Name Cost Quantity Retail\\n\";\r\n productInformation += \"----------------------------------------------------\\n\";\r\n productInformation += productArrayList.get(i).getId() + \" \" + productArrayList.get(i).getName()\r\n + \" $\" + productArrayList.get(i).getCost() + \" \" + productArrayList.get(i).getQuantity() + \" $\"\r\n + retail;\r\n break;\r\n } else\r\n {\r\n System.out.println(\"Product not found.\");\r\n }\r\n }\r\n System.out.println(productInformation);\r\n return productInformation;\r\n }", "@Override\n public String getEISProductName() throws ResourceException {\n return repository.getDescriptor(Repository.REP_NAME_DESC);\n }", "public String toString() {\r\n return \"Product: \" + this.product + \", Amount: \" + this.amount;\r\n }", "ProductPlan getProductPlan();", "public String getKind_of_product() {\r\n return kind_of_product;\r\n }", "java.lang.String getProductCode();", "public Product Product() {\n return null;\n }", "public void displayProduct() {\n\t\tDisplayOutput.getInstance()\n\t\t\t\t.displayOutput(StoreFacade.getInstance());\n\t}", "public void showAllProducts() {\n try {\n System.out.println(Constants.DECOR+\"ALL PRODUCTS IN STORE\"+Constants.DECOR_END);\n List<Product> products = productService.getProducts();\n System.out.println(Constants.PRODUCT_HEADER);\n for (Product product : products) { \n System.out.println((product.getName()).concat(\"\\t\\t\").concat(product.getDescription()).concat(\"\\t\\t\")\n .concat(String.valueOf(product.getId()))\n .concat(\"\\t\\t\").concat(product.getSKU()).concat(\"\\t\").concat(String.valueOf(product.getPrice()))\n .concat(\"\\t\").concat(String.valueOf(product.getMaxPrice())).concat(\"\\t\")\n .concat(String.valueOf(product.getStatus()))\n .concat(\"\\t\").concat(product.getCreated()).concat(\"\\t\\t\").concat(product.getModified())\n .concat(\"\\t\\t\").concat(String.valueOf(product.getUser().getUserId())));\n }\n } catch (ProductException ex) {\n System.out.println(ex);\n }\n }", "@Override\n public String toString() {\n return product.toString() + \", Quantity: \" + quantity;\n }", "public short getIdProduct() {\r\n\t\treturn idProduct;\r\n\t}", "@Override\r\n\tpublic List<Product> findProduct() {\n\t\treturn iImportSalesRecordDao.findProduct();\r\n\t}", "@SuppressWarnings(\"unchecked\")\n private void fetchProductInformation() {\n // Query the App Store for product information if the user is is allowed\n // to make purchases.\n // Display an alert, otherwise.\n if (SKPaymentQueue.canMakePayments()) {\n // Load the product identifiers fron ProductIds.plist\n String filePath = NSBundle.getMainBundle().findResourcePath(\"ProductIds\", \"plist\");\n NSArray<NSString> productIds = (NSArray<NSString>) NSArray.read(new File(filePath));\n\n StoreManager.getInstance().fetchProductInformationForIds(productIds.asStringList());\n } else {\n // Warn the user that they are not allowed to make purchases.\n alert(\"Warning\", \"Purchases are disabled on this device.\");\n }\n }", "@Override\n\tpublic List<ProductInfo> getProducts() {\n\t\treturn shoppercnetproducts;\n\t}", "@Bean(name = \"product\")\n\tpublic Product getProduct() {\n\t\treturn new Product(\"C0001\", \"테스트\", 1000); // Constructor Injection\n\t}", "public String getProductid() {\n return productid;\n }", "public Product getProductInventory() {\n return productInventory;\n }", "public TypeProduct getTypeProduct() {\r\n\t\treturn typeProduct;\r\n\t}", "public String productList(ProductDetails p);", "@RequestMapping(\"/product/{productId}\")\n public ProductAggregated getProduct(@PathVariable int productId) {\n\n \tLOG.info(\"Starting the product details call....\");\n\t\t//RX java implementation............\n\t\tProductAggregated pa = getProductDetails(productId);\n\t\tLOG.info(\"End of the product details call....\");\n\n \t\n \treturn pa;\n }", "x0401.oecdStandardAuditFileTaxPT1.SAFPTProductDescription xgetProductDescription();", "String currentProduct() {\n if (PageFlowContext.getPolicy() != null && PageFlowContext.getPolicy().getProductTypeId() != null) {\n return PageFlowContext.getPolicy().getProductTypeId();\n } else {\n return \"\";\n }\n }", "@Override\r\n\tpublic String toString() {\r\n\t\treturn \"Product [id=\" + id + \", code=\" + code + \", name=\" + name + \", brand=\" + brand + \", description=\"\r\n\t\t\t\t+ description + \", unitPrice=\" + unitPrice + \", quantity=\" + quantity + \", active=\" + active\r\n\t\t\t\t+ \", categoryId=\" + categoryId + \", supplierId=\" + supplierId + \", brandId=\" + brandId + \", typeId=\"\r\n\t\t\t\t+ typeId + \", purchases=\" + purchases + \", views=\" + views + \"]\";\r\n\t}", "@Override\r\n\tpublic Porduct GetResult() {\n\t\treturn product;\r\n\t}", "public String getItemInformation()\n {\n return this.aDescription + \" qui a un poids de \" + this.aWeight;\n\n }", "@Override\r\n\tpublic String toString() {\n\t\tString string=\"[\"+product.getName()+\" \"+number+\"]\";\r\n\t\treturn string;\r\n\t}", "@Override\n public Productor getProductor() {\n return new ProductorImp1();\n }", "@Override\r\n\tpublic Product retrieveResult() {\n\t\treturn product;\r\n\t}" ]	[ "0.72623736", "0.7251515", "0.7035332", "0.6992206", "0.6891532", "0.6891532", "0.6878618", "0.6861938", "0.68616116", "0.6860118", "0.68343306", "0.67576396", "0.67444986", "0.67037", "0.6665587", "0.6663509", "0.659237", "0.6581569", "0.6567482", "0.65599865", "0.65520865", "0.6547315", "0.6487528", "0.6467259", "0.64373183", "0.642163", "0.6375603", "0.6375603", "0.6375603", "0.6366074", "0.6357911", "0.6357485", "0.635347", "0.6332233", "0.63265926", "0.6313114", "0.63101596", "0.6266966", "0.62613267", "0.6259315", "0.62310505", "0.6229467", "0.6228468", "0.62110984", "0.6177291", "0.6144685", "0.6141072", "0.6136154", "0.61192524", "0.61124855", "0.60937506", "0.60910255", "0.60867125", "0.6073382", "0.6067068", "0.6059916", "0.60518986", "0.60437256", "0.60376716", "0.60370255", "0.6031696", "0.60218626", "0.60130656", "0.6011695", "0.6008401", "0.599933", "0.59948814", "0.59873044", "0.59811574", "0.59709555", "0.59480065", "0.59474057", "0.59348357", "0.59288996", "0.59203845", "0.59180593", "0.59134614", "0.59133863", "0.5909765", "0.59058124", "0.59002405", "0.588365", "0.5883213", "0.58744246", "0.58727986", "0.5871344", "0.58624935", "0.58605576", "0.5853871", "0.58445513", "0.5835314", "0.583528", "0.5833067", "0.582625", "0.58259547", "0.58255106", "0.5824691", "0.5822798", "0.5820255", "0.58132535" ]	0.58909	81
Get the Size Guide Label	public synchronized WebElement sizeGuideLabel() throws Exception { if (Utils.device.equals("mobile")) return utils.findElementByLocator(driver, "PDP_MB_SizeGuide", "\| Size Guide label not present"); else return utils.findElementByLocator(driver, "PDP_SizeGuide", "\| Size Guide label not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public String getSizeLabel() {\n return (String)getAttributeInternal(SIZELABEL);\n }", "public int getLabelSize()\n {\n return myLabelSize;\n }", "public int getLabelTextSize(){\n return labelTextSize;\n }", "private JPanel getPackSizeLabel() {\n\t\tif (packSizePanel == null) {\n packSizeLabel = new JLabel();\n\t\t\tpackSizeLabel.setText(\"Размер колоды \");\n FlowLayout flowLayout = new FlowLayout();\n\t\t\tflowLayout.setAlignment(FlowLayout.LEFT);\n\t\t\tpackSizePanel = new JPanel();\n\t\t\tpackSizePanel.setLayout(flowLayout);\n\t\t\tpackSizePanel.add(packSizeLabel, null);\n\t\t\tpackSizePanel.add(getColoda(), null);\n\t\t}\n\t\treturn packSizePanel;\n\t}", "short getPaperSize();", "public int getLblWidth() {\n return lblWidth;\n }", "String getPreviewSizePref();", "String getShapeLabel();", "public int getFront_label_size() {\n\t\treturn front_label_size;\n\t}", "String getWidth();", "String getWidth();", "public int getAutoSize() {\n return option >> 1 & 3;\n }", "public int getSwitchTextSize(){\n return switchTextSize;\n }", "protected String sizeString()\n {\n return (\" (\" + map.getSizeX() + \" x \" + map.getSizeY() + \")\");\n }", "short getFitWidth();", "public String getLabel() {\r\n return layout.label;\r\n }", "public void setLabelSize(int labelSize)\n {\n myLabelSize = labelSize;\n }", "public Dimension getPreferredSize() {\n\t\tif (getFont() != null) {\n\t\t\tFontMetrics fm = getFontMetrics(getFont());\n\n\t\t\treturn new Dimension(fm.stringWidth(label), fm.getHeight() + 10);\n\t\t} else\n\n\t\t\treturn new Dimension(10, 10); //no font\n\t}", "public synchronized void click_lnk_sizeGuide() throws Exception {\n\t\tutils.clickWebElement(driver, sizeGuideLabel(), \"Size Guide label not found\");\n\n\t}", "public int getFontSize();", "public int getSetSize(){ return Integer.parseInt(setSize.getText()); }", "public String getAutosizing()\n{\n String li = _layoutInfo instanceof String? (String)_layoutInfo : null;\n return li!=null && li.length()>6 && (li.charAt(0)=='-' \|\| li.charAt(0)=='~')? li : getAutosizingDefault();\n}", "short getFitHeight();", "private javax.swing.JLabel getJLabel16() {\n\t\tif(jLabel16 == null) {\n\t\t\tjLabel16 = new javax.swing.JLabel();\n\t\t\tjLabel16.setText(\"A. Totales:\");\n\t\t\tjLabel16.setPreferredSize(new java.awt.Dimension(80,20));\n\t\t\tjLabel16.setVerticalAlignment(javax.swing.SwingConstants.CENTER);\n\t\t\t//jLabel12.setBorder(javax.swing.BorderFactory.createLineBorder(java.awt.Color.gray,1));\n\t\t\tjLabel16.setFocusable(false);\n\t\t}\n\t\treturn jLabel16;\n\t}", "public String getSize() { \r\n return SIZE[size]; }", "java.lang.String getLabel();", "public Font getLabelFont();", "public int getWidth() {\r\n if ( fontMetrics != null && lbl != null ) {\r\n return fontMetrics.stringWidth(lbl) + 12; \r\n } else {\r\n return 10;\r\n }\r\n }", "java.lang.String getThumbsDownLabel();", "public String getSize() {\r\n return size;\r\n }", "public java.lang.String getLabel();", "private int getFontSize(LabelGeometry geom)\r\n {\r\n float fontSize = AWTUtilities.getFontSize(geom.getRenderProperties().getFont());\r\n\r\n // Scale based on the view\r\n Function<Kilometers, Float> scaleFunction = geom.getRenderProperties().getScaleFunction();\r\n if (scaleFunction != null)\r\n {\r\n float viewScale = scaleFunction.apply(myViewAltitudeSupplier.get()).floatValue();\r\n fontSize = viewScale;\r\n }\r\n\r\n return Math.round(fontSize);\r\n }", "public java.lang.String getSIZE() {\n return SIZE;\n }", "public String getSize() {\n return size;\n }", "public String getSize() {\n return size;\n }", "String getLayout();", "String getLabel();", "String getLabel();", "String getHeight();", "String getHeight();", "int getCurrentSize();", "public Dimension getPreferredSize() {\r\n\t\t\r\n\t\t// Calculate the preferred size based on a monospaced font.\r\n\t\t// Get the font metrics\r\n\t\tFontMetrics fm = getFontMetrics(font);\r\n\t\tint charHeight = fm.getMaxAscent() + fm.getMaxDescent();\r\n\t\tint charWidth = fm.charWidth('0');\r\n\r\n\t\tint minHeight = YPAD + (2 BORDERWIDTH) + height + charHeight;\r\n\t\tint minWidth = 2 * ((2 * charWidth) + labelDist);\r\n\r\n\t\treturn new Dimension(minWidth, minHeight);\r\n\t}", "public String getDPISBN(){\n\t\treturn this.m_sDPISBN;\n\t}", "public ModernAutoSizeLabel(String text, Dimension size) {\r\n super(text, size);\r\n }", "public int getButtonTextSize(){\n return buttonTextSize;\n }", "public int getTitleFontSize() {\n\t\treturn this.title_fontsize;\n\t}", "public long getSize()\n {\n return getLong(\"Size\");\n }", "public String getLabel();", "public String getLabel();", "public String getLabel();", "public String getLabel();", "public Dimension getPreferredSizeRO();", "double getSize();", "Dimension getSize();", "Dimension getSize();", "@Element \n public String getSize() {\n return size;\n }", "@Override\r\n\tpublic String getSize() {\n\t\treturn \"A4\";\r\n\t}", "public String getLabelText();", "public RMSize getSize() { return new RMSize(getWidth(), getHeight()); }", "public ManagedLabVmSize name() {\n return this.name;\n }", "long getWidth();", "public float getFontSize();", "public String getSizeTextField(){\n\t\treturn textField.getText();\n\t}", "public double getWidth() {\n return this.size * 2.0; \n }", "public int getIconWidth()\r\n/* 50: / {\r\n/ 51: 99 / return SIZE;\r\n/ 52: / }", "public int getPreferredWidth() \n {\n Font font = Font.getDefault().derive( Font.BOLD, FONT_SIZE );\n return font.getAdvance( m_text ) + HMARGIN;\n }", "public Font getLabelFont() {\n return labelFont;\n }", "public Font getLabelFont() {\n return labelFont;\n }", "int getAreaSize();", "public String getBookSizeMeaning() {\n return (String)getAttributeInternal(BOOKSIZEMEANING);\n }", "public int getWidth() {\n return mySize.getWidth();\n }", "public int getBarSize() { return _barSize; }", "public int getPreferredSize()\n {\n return preferredSize;\n }", "public synchronized WebElement lnk_viewFullSizeGuide() throws Exception {\n\t\tWebElement element = null;\n\t\tif (utils.brand.equals(\"ATF\") && utils.device.equals(\"desktop\")) {\n\t\t\telement = utils.findElementByLocator(driver, \"PDP_ViewSizeGuide_Link\",\n\t\t\t\t\t\"\| Size Guide Description not present\");\n\t\t} else if (utils.brand.equals(\"LO\") \|\| utils.device.equalsIgnoreCase(\"mobile\")) {\n\t\t\telement = utils.findElementByLocator(driver, \"PDP_LO_lnk_SizeChart\",\n\t\t\t\t\t\"\| Size Guide Description not present\");\n\t\t}\n\t\treturn element;\n\t}", "public int getThickness ()\r\n {\r\n return glyph.getBounds().height;\r\n }", "public int getTextLabelFontSize() {\n\t\treturn mTextLabelFontSize;\n\t}", "@Override\n\tpublic String getSize() {\n\t\treturn sizeOfTheBeverage;\n\t}", "public LinkSize getLinkSize() {\n String str = findSelected(link_sizes);\n if (str.equals(LINK_SZ_INVISIBLE)) { return LinkSize.INVISIBLE;\n } else if (str.equals(LINK_SZ_THIN)) { return LinkSize.THIN;\n } else if (str.equals(LINK_SZ_NORMAL)) { return LinkSize.NORMAL;\n } else if (str.equals(LINK_SZ_THICK)) { return LinkSize.THICK;\n } else if (str.equals(LINK_SZ_VARY)) { return LinkSize.VARY;\n } else if (str.equals(LINK_SZ_CONDUCT)) { return LinkSize.CONDUCT;\n } else if (str.equals(LINK_SZ_CLUSTERP)) { return LinkSize.CLUSTERP;\n } else return LinkSize.NORMAL;\n }", "public int getLargeur() {\n return getWidth();\n }", "public int getComponentLabelMargin() {\n\t\treturn componentLabelMargin;\n\t}", "public int getIconWidth()\r\n/ 154: / {\r\n/ 155:194 / return SIZE;\r\n/ 156: / }", "public void setSizeLabel(String value) {\n setAttributeInternal(SIZELABEL, value);\n }", "public NodeSize getNodeSize() {\n String str = findSelected(node_sizes);\n if (str.equals(NODE_SZ_INVISIBLE)) { return NodeSize.INVISIBLE;\n } else if (str.equals(NODE_SZ_SMALL)) { return NodeSize.SMALL;\n } else if (str.equals(NODE_SZ_LARGE)) { return NodeSize.LARGE;\n } else if (str.equals(NODE_SZ_VARY)) { return NodeSize.VARY; \n } else if (str.equals(NODE_SZ_VARY_LOG)) { return NodeSize.VARY_LOG;\n } else if (str.equals(NODE_SZ_TYPE)) { return NodeSize.TYPE;\n } else if (str.equals(NODE_SZ_GRAPHINFO)) { return NodeSize.GRAPHINFO;\n } else if (str.equals(NODE_SZ_CLUSTERCO)) { return NodeSize.CLUSTERCO;\n } else if (str.equals(NODE_SZ_LABEL)) { return NodeSize.LABEL;\n } else return NodeSize.LARGE;\n }", "java.lang.String getThumbsUpLabel();", "public String getFontSizeText()\r\n\t{\r\n\t\treturn fontSizeTextField.getText(); // return the text in the Font Size text field\r\n\t}", "public String getFontSize () {\n\t\treturn fontSizeTextField.getText();\n\t}", "private Bounds textWidth(double size, SensorValue sensorValue)\r\n\t{\n\t\t\r\n\t\tString showValue = sensorValue.getCurrentValue() + \" \" + sensorValue.getMeasurementUnit();\r\n\t\t\r\n\t\tif(fontBase == null)\r\n\t\t\tfontBase = new Font(\"Verdana\", 12);\r\n\t\tText text = new Text(showValue);\r\n\t\tFont font = Font.font(fontBase.getFamily(), size);\r\n text.setFont(font);\r\n return text.getBoundsInLocal();\r\n\t}", "public double getSize() \n {\n return size;\n }", "public double getLblSpacing() {\n return lblSpacing;\n }", "public final Rectangle getBounds() {\n return label.getBounds();\n }", "public float getTextSizePx() {\n return mPaint.getTextSize();\n }", "public double getSize()\n\t{\n\t\treturn size;\n\t}", "@Override\n public String toString()\n {\n\treturn getClass().getSimpleName() + \" (\" + getLength() + \"x\" + getWidth() + \")\";\n }", "java.lang.String getViewsLabel();", "public int getLegendSize() {\n\t\t\n\t\treturn size;\n\t}", "public float getExampleDimension() {\n return mTextSize;\n }", "public int getIconHeight()\r\n/ 159: / {\r\n/ 160:195 / return SIZE;\r\n/ 161: */ }", "Label getLabel();", "Label getLabel();", "Label getLabel();" ]	[ "0.73821604", "0.7151529", "0.6913542", "0.67762977", "0.6636644", "0.6417269", "0.62690985", "0.62292284", "0.6172234", "0.6168585", "0.6168585", "0.61125743", "0.6091535", "0.60793453", "0.6036097", "0.60356927", "0.6022", "0.5996001", "0.59412116", "0.59340024", "0.59265095", "0.5913628", "0.5909277", "0.5854395", "0.58543086", "0.58483505", "0.5846491", "0.5845639", "0.5833653", "0.5823075", "0.57805836", "0.57795405", "0.57789004", "0.5762225", "0.5762225", "0.5755103", "0.574284", "0.574284", "0.5742116", "0.5742116", "0.57418954", "0.5732529", "0.57302135", "0.57171464", "0.57130194", "0.57127756", "0.570918", "0.56918794", "0.56918794", "0.56918794", "0.56918794", "0.5688356", "0.567547", "0.5669099", "0.5669099", "0.56688136", "0.5664768", "0.5656187", "0.5651363", "0.5647757", "0.5645869", "0.56344354", "0.56282693", "0.5607157", "0.56044775", "0.55925757", "0.55851704", "0.55851704", "0.5579683", "0.55733156", "0.5565134", "0.5563755", "0.55624664", "0.55609214", "0.55603373", "0.5559753", "0.5556042", "0.5554248", "0.55479145", "0.5547713", "0.5547627", "0.5545597", "0.55415606", "0.5530933", "0.5522644", "0.5514888", "0.55140543", "0.5513813", "0.55048966", "0.55020964", "0.54712486", "0.5469309", "0.5461978", "0.5450329", "0.544925", "0.54368067", "0.5429399", "0.5422318", "0.5422318", "0.5422318" ]	0.75578845	0
Click on Size Guide	public synchronized void click_lnk_sizeGuide() throws Exception { utils.clickWebElement(driver, sizeGuideLabel(), "Size Guide label not found"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void selectSmallSize() {\n\t\tdriver.findElement(By.xpath(\"//[@id='layered_id_attribute_group_1']\")).click();\n\t}", "public void clickDemandSideManagement();", "public void click() {\n final boolean wasMaximized = maximized;\n setMaximized( !wasMaximized );\n if ( wasMaximized ) {\n if ( unmaximizeCommand != null ) {\n unmaximizeCommand.execute();\n setTitle( WorkbenchConstants.INSTANCE.maximizePanel() );\n }\n } else {\n if ( maximizeCommand != null ) {\n maximizeCommand.execute();\n setTitle( WorkbenchConstants.INSTANCE.minimizePanel() );\n }\n }\n }", "public void selectLargeSize() {\n\n\t\tdriver.findElement(By.xpath(\"//[@id='layered_id_attribute_group_3']\")).click();\n\n\t}", "@FXML\r\n void btnSizeMiuns(ActionEvent event) {\r\n \tdrawSize--;\r\n \tif(drawSize <= 1){\r\n \t\tdrawSize = 1;\r\n \t}\r\n }", "public void selectSize(String size) {\n\t\ttry {\n\t\t\tString xpathSizeElement = \"//div[@id='e1-22']/div[@class='pnl-b pad-bottom']/div/a/span[@class='cbx' and text()='\"\n\t\t\t\t\t+ size + \"'] /preceding-sibling::input\";\n\n\t\t\tWebElement inputSizeElement = driver.findElement(By.xpath(xpathSizeElement));\n\t\t\tinputSizeElement.click();\n\n\t\t\t// Print the number of results\n\t\t\tString resultsMessage = String.format(\"---The results number is: %s\", spn_ResultsNumber.getText());\n\t\t\tSystem.out.println(resultsMessage);\n\t\t} catch (Exception \| AssertionError e) {\n\t\t\tString errorMessage = String.format(\"An error ocurred while selecting the size\", e.getMessage());\n\t\t\tthrow new Error(errorMessage);\n\t\t}\n\t}", "@Override\n\t\t\tpublic void onClick(View v)\n\t\t\t{\n\t\t\t\tswitch (v.getId())\n\t\t\t\t{\n\t\t\t\tcase R.id.hike_small_container:\n\t\t\t\t\tshowImageQualityOption(ImageQuality.QUALITY_SMALL, small, medium, original);\n\t\t\t\t\tbreak;\n\t\t\t\tcase R.id.hike_medium_container:\n\t\t\t\t\tshowImageQualityOption(ImageQuality.QUALITY_MEDIUM, small, medium, original);\n\t\t\t\t\tbreak;\n\t\t\t\tcase R.id.hike_original_container:\n\t\t\t\t\tshowImageQualityOption(ImageQuality.QUALITY_ORIGINAL, small, medium, original);\n\t\t\t\t\tbreak;\n\t\t\t\tcase R.id.btn_just_once:\n\t\t\t\t\tsaveImageQualitySettings(editor, small, medium, original);\n\t\t\t\t\tHikeSharedPreferenceUtil.getInstance(context).saveData(HikeConstants.REMEMBER_IMAGE_CHOICE, false);\n\t\t\t\t\tcallOnSucess(listener, dialog);\n\t\t\t\t\tbreak;\n\t\t\t\t}\n\t\t\t}", "void setPaperSize(short size);", "public void setSize(int size);", "public void settings() { size(1200, 800); }", "@Override\n public void doClick(){\n if(checkBounds())\n {\n mealselect.setDessert(this.type);\n }\n }", "public void setSize();", "public void changeSize()\n {\n //if mouse is on the play button, make it bigger\n if(Greenfoot.mouseMoved(this))\n setImage(\"play button bigger.png\");\n //if mouse is on the background, return play button to regular size\n else if(Greenfoot.mouseMoved(getWorld()))\n setImage(\"play button.png\");\n }", "private void basicSize(){\n setSize(375,400);\n }", "public synchronized void storelocator_selectSize() throws Exception {\n\t\tList<WebElement> sizes = list_SizeSwatch();\n\t\tfor (WebElement el : sizes) {\n\t\t\tif (el.isEnabled())\n\n\t\t\t{\n\n\t\t\t\tutils.clickWebElement(driver, el, \"size selection\");\n\t\t\t\tsize = el.getText();\n\t\t\t\tSystem.out.println(\"************* \" + size);\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t}", "private void actionModifySize() {\n CSizePanel csizePanel = new CSizePanel(layoutPanel.getLayoutSize(),\n false);\n int result = JOptionPane.showConfirmDialog(this, csizePanel,\n \"Modify layout size\", JOptionPane.OK_CANCEL_OPTION);\n if (result == JOptionPane.OK_OPTION) { // Afirmative\n try {\n int sizeX = Integer\n .parseInt(csizePanel.tfields[CSizePanel.idxX].getText());\n int sizeY = Integer\n .parseInt(csizePanel.tfields[CSizePanel.idxY].getText());\n if (sizeX >= LayoutPanel.minXCells\n && sizeX <= LayoutPanel.maxXCells\n && sizeY >= LayoutPanel.minYCells\n && sizeY <= LayoutPanel.maxYCells) {\n RepType rtype = RepType.CLEAR;\n if (csizePanel.newButton.isSelected()) {\n rtype = RepType.CLEAR;\n } else if (csizePanel.rptButton.isSelected()) {\n rtype = RepType.REPEAT;\n } else if (csizePanel.altButton.isSelected()) {\n rtype = RepType.ALT;\n }\n\n changeLayoutSize(new Dimension(sizeX, sizeY), rtype);\n } else {\n JOptionPane.showMessageDialog(null,\n \"Size x must be between \" + LayoutPanel.minXCells\n + \" and \" + LayoutPanel.maxXCells\n + \", or size y must be between \"\n + LayoutPanel.minYCells + \" and \"\n + LayoutPanel.maxYCells + \".\");\n }\n } catch (NumberFormatException ne) {\n JOptionPane.showMessageDialog(null, \"Invalid number.\");\n }\n }\n }", "@Override\n public void onClick(View v) {\n DrinkSize = 1;\n DrinkSizeText = \"Small\";\n Toast Small = Toast.makeText(getApplicationContext(),\n \"Drink Size Set To Small\",\n Toast.LENGTH_SHORT);\n\n Small.show();\n }", "public void sizeActionPerformed(java.awt.event.ActionEvent evt) {\n myFont.size = ((Integer) size.getSelectedItem()).intValue(); /FAULT:: myFont.size = 5; /\n }", "void goToWhiteboardSelect(){\n CollaboardGUI.this.setSize(500,500);\n CardLayout layout = (CardLayout) panels.getLayout();\n layout.show(panels, \"whiteboard\");\n }", "public void setSize(double size) \n {\n this.size = size;\n }", "public synchronized void selectProdSize(String size) {\n\t\ttry {\n\t\t\tWebActionUtil.waitForElement(clkSize(size), \"size checkbox\", 30);\n\t\t\tWebActionUtil.clickCheckBox(clkSize(size), \"size checkbox\");\n\t\t}\n\t\t catch (Exception e) \n\t\t{\n\t\t\t WebActionUtil.error(e.getMessage());\n\t\t\tWebActionUtil.error(\"Unable to clk on size checkbox\");\n\t\t\tAssert.fail(\"Unable to clk on size checkbox\");\n\t\t}\n\t}", "public void setSize(int newSize);", "public void setSize(int newSize);", "@Override\n public boolean onOptionsItemSelected(MenuItem item) {\n int id = item.getItemId();\n\n //noinspection SimplifiableIfStatement\n if (id == R.id.action_new) {\n view.next();\n return true;\n }\n if (id == R.id.action_reset) {\n view.reset();\n view.init();\n return true;\n }\n if (id == R.id.action_size) {\n final AlertDialog.Builder alert = new AlertDialog.Builder(this);\n\n alert.setTitle(R.string.action_size);\n\n seek = new SeekBar(this);\n seek.setProgress(Resources.SIZE_FORMULA);\n seek.setMax(Resources.MAX_SIZE_FORMULA);\n alert.setView(seek);\n alert.setPositiveButton(R.string.seek_ok, new DialogInterface.OnClickListener() {\n public void onClick(DialogInterface dialog, int id) {\n int value = seek.getProgress();\n Resources.PREFERED_SIZE_FORMULA = value;\n view.setFontSize(value);\n if (view.redraw()) {\n view.invalidate();\n dialog.cancel();\n }\n }\n });\n alert.setNegativeButton(R.string.seek_cancel, new DialogInterface.OnClickListener() {\n public void onClick(DialogInterface dialog, int id) {\n dialog.cancel();\n }\n });\n alert.show();\n return true;\n }\n return super.onOptionsItemSelected(item);\n }", "public void setSize(int size){\n this.size = size;\n }", "void previewSized();", "@Override\r\n\t\tpublic void mouseClicked(MouseEvent arg0) {\n\t\t\tEnlargePicture_K large = new EnlargePicture_K(filePath);\r\n\t\t}", "public void setSize(int size) {\n this.size = size;\n }", "public void setSize(int size) {\r\n this.size = size;\r\n }", "@Override\n protected void sizeChanged () {\n }", "@OnClick(R.id.iv_thumbnail)\n void onContainerClicked() {\n draggablePanel.maximize();\n }", "@Override\n\tpublic void actionPerformed(ActionEvent e) {\n\t\tif(e.getSource()==imgBtn) {\n\t\t\t\n\t\t\timgBtn.setSize(INT_VALUE10, INT_VALUE10);\n\t\t}\n\t}", "private void onSettingClickEvent() {\n\t\tmBtnSetting.setOnClickListener(new OnClickListener() {\n\t\t\t@Override\n\t\t\tpublic void onClick(View arg0) {\n\n//\t\t\t\tLog.d(TAG, \"onSettingClickEvent\");\n//\t\t\t\topenOptionsMenu();\n\t\t\t\tConfiguration config = getResources().getConfiguration();\n\t\t\t\tif ((config.screenLayout & Configuration.SCREENLAYOUT_SIZE_MASK) > Configuration.SCREENLAYOUT_SIZE_LARGE) {\n\t\t\t\t\tint originalScreenLayout = config.screenLayout;\n\t\t\t\t\tconfig.screenLayout = Configuration.SCREENLAYOUT_SIZE_LARGE;\n\t\t\t\t\topenOptionsMenu();\n\t\t\t\t\tconfig.screenLayout = originalScreenLayout;\n\t\t\t\t} else {\n\t\t\t\t\topenOptionsMenu();\n\t\t\t\t}\n\n\t\t\t}\n\t\t});\n\t}", "@Override\n\t\t\tpublic void clicked(InputEvent event, float x, float y) {\n\t\t\t\tdispose();\n\t\t\t\tgame.setScreen(new OptionsScreen(game));\n\n\t\t\t}", "public abstract void clickHelp(FloodItWorld w, ACell topLeft);", "protected abstract void setSize();", "public void setSize(int size) {\n this.size = size;\n }", "public void setSize(int size) {\n this.size = size;\n }", "public static void main(String[] args) {\n\t\tWebDriver driver = Utility.initBrowser();\n\t\tdriver.get(\"https://jqueryui.com/resizable/\");\n\t\tdriver.manage().timeouts().implicitlyWait(30, TimeUnit.SECONDS);\n\t\tdriver.switchTo().frame(0);\n\t\n\t\t\n\t\t\n\t\tWebElement reSize_xpath = driver.findElement(By.xpath(\"//div[@style='z-index: 90;']/following::div[2]\"));\n\n\t\tActions a = new Actions(driver);\n\t\tint h = reSize_xpath.getSize().height;\n\t\tint w = reSize_xpath.getSize().width;\n\t\ta.clickAndHold(reSize_xpath).moveByOffset(h,w).release(reSize_xpath).build().perform();\n\t\tSystem.out.println(h);\n\t\tSystem.out.println(w);\n\t\ta.build().perform();\n\t\t\n\n\t}", "public void clickOnViewCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnViewCartButton.click();\n\n \t}", "@Override\n\t\t\tpublic void mouseClicked(MouseEvent arg0) {\n\t\t\t\t\ttoggleFullSceen();\n\t\t\t}", "public synchronized WebElement lnk_viewFullSizeGuide() throws Exception {\n\t\tWebElement element = null;\n\t\tif (utils.brand.equals(\"ATF\") && utils.device.equals(\"desktop\")) {\n\t\t\telement = utils.findElementByLocator(driver, \"PDP_ViewSizeGuide_Link\",\n\t\t\t\t\t\"\| Size Guide Description not present\");\n\t\t} else if (utils.brand.equals(\"LO\") \|\| utils.device.equalsIgnoreCase(\"mobile\")) {\n\t\t\telement = utils.findElementByLocator(driver, \"PDP_LO_lnk_SizeChart\",\n\t\t\t\t\t\"\| Size Guide Description not present\");\n\t\t}\n\t\treturn element;\n\t}", "public void setSize(int size) {\r\n _size = size;\r\n }", "public void setSize( Point size ) {\n checkWidget();\n if ( size == null )\n error( SWT.ERROR_NULL_ARGUMENT );\n setSize( size.x, size.y );\n }", "@Override\r\n\t\t\tpublic void actionPerformed(ActionEvent e) {\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\tSystem.out.println(\"Zoom less\");\r\n\t\t\t}", "public void linkSize(String str) { setSelected(link_sizes, str); }", "private void cbxSizeActionPerformed(java.awt.event.ActionEvent evt) {\n\n String size = (String) cbxSize.getSelectedItem();\n if (size.contains(\"4\")) {\n panelSize = 4;\n } else if (size.contains(\"5\")) {\n panelSize = 5;\n } else {\n panelSize = 3;\n }\n initPanel();\n }", "public void selectMediumSize() {\n\n\t\tdriver.findElement(By.xpath(\"//[@id='layered_id_attribute_group_2']']\")).isSelected();\n\n\t}", "public void setSize(int size) {\n\tthis.sizeNumber = sizeNumber;\r\n}", "@Override\n\tpublic void onWeightClick(View v) {\n\t\t\n\t}", "public void clickSmallUnit() {\r\n\t\twebAppDriver.clickElementById(btnSmallUnitsId);\r\n\t\twebAppDriver.verifyElementIsInvisibleByXpath(lbPleaseWaitXpath);\r\n\t}", "short getPaperSize();", "@Override\n\tpublic void showSize() {\n\t\tSystem.out.print(\"This pen is small.\");\n\t}", "private void showVideoSizeOptionDialog() {\n\t\t// TODO Auto-generated method stub\n\t\tCharSequence title = res.getString(R.string.stream_set_res_vid);\n\n\t\tfinal String[] videoSizeUIString = uiDisplayResource.getVideoSize();\n\t\tif (videoSizeUIString == null) {\n\t\t\tWriteLogToDevice.writeLog(\"[Error] -- SettingView: \",\n\t\t\t\t\t\"videoSizeUIString == null\");\n\t\t\tpreviewHandler\n\t\t\t\t\t.obtainMessage(GlobalApp.MESSAGE_UPDATE_UI_VIDEO_SIZE)\n\t\t\t\t\t.sendToTarget();\n\t\t\treturn;\n\t\t}\n\t\tint length = videoSizeUIString.length;\n\n\t\tint curIdx = 0;\n\t\tUIInfo uiInfo = reflection.refecltFromSDKToUI(\n\t\t\t\tSDKReflectToUI.SETTING_UI_VIDEO_SIZE,\n\t\t\t\tcameraProperties.getCurrentVideoSize());\n\t\tfor (int i = 0; i < length; i++) {\n\t\t\tif (videoSizeUIString[i].equals(uiInfo.uiStringInSetting)) {\n\t\t\t\tcurIdx = i;\n\t\t\t}\n\t\t}\n\n\t\tDialogInterface.OnClickListener listener = new DialogInterface.OnClickListener() {\n\t\t\t@Override\n\t\t\tpublic void onClick(DialogInterface arg0, int arg1) {\n\t\t\t\tfinal String value = (String) reflection.refecltFromUItoSDK(\n\t\t\t\t\t\tUIReflectToSDK.SETTING_SDK_VIDEO_SIZE,\n\t\t\t\t\t\tvideoSizeUIString[arg1]);\n\t\t\t\targ0.dismiss();\n\t\t\t\tif (value.equals(\"2704x1524 15\")\n\t\t\t\t\t\t\|\| value.equals(\"3840x2160 10\")) {\n\t\t\t\t\tAlertDialog.Builder builder = new AlertDialog.Builder(\n\t\t\t\t\t\t\tcontext);\n\t\t\t\t\tbuilder.setMessage(R.string.not_support_preview);\n\t\t\t\t\tbuilder.setNegativeButton(R.string.setting_no,\n\t\t\t\t\t\t\tnew DialogInterface.OnClickListener() {\n\n\t\t\t\t\t\t\t\t@Override\n\t\t\t\t\t\t\t\tpublic void onClick(DialogInterface dialog,\n\t\t\t\t\t\t\t\t\t\tint which) {\n\t\t\t\t\t\t\t\t\tdialog.dismiss();\n\t\t\t\t\t\t\t\t\tpreviewHandler\n\t\t\t\t\t\t\t\t\t\t\t.obtainMessage(\n\t\t\t\t\t\t\t\t\t\t\t\t\tGlobalApp.MESSAGE_UPDATE_UI_VIDEO_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t.sendToTarget();\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t});\n\t\t\t\t\tbuilder.setPositiveButton(R.string.setting_yes,\n\t\t\t\t\t\t\tnew DialogInterface.OnClickListener() {\n\n\t\t\t\t\t\t\t\t@Override\n\t\t\t\t\t\t\t\tpublic void onClick(DialogInterface dialog,\n\t\t\t\t\t\t\t\t\t\tint which) {\n\t\t\t\t\t\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\t\t\t\t\t\tdialog.dismiss();\n\t\t\t\t\t\t\t\t\tcameraProperties.setVideoSize(value);\n\t\t\t\t\t\t\t\t\tpreviewHandler\n\t\t\t\t\t\t\t\t\t\t\t.obtainMessage(\n\t\t\t\t\t\t\t\t\t\t\t\t\tGlobalApp.MESSAGE_UPDATE_UI_VIDEO_SIZE)\n\t\t\t\t\t\t\t\t\t\t\t.sendToTarget();\n\t\t\t\t\t\t\t\t\tsettingValueList = getSettingValue();\n\t\t\t\t\t\t\t\t\tif (optionListAdapter == null) {\n\t\t\t\t\t\t\t\t\t\treturn;\n\t\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t\t\toptionListAdapter.notifyDataSetChanged();\n\t\t\t\t\t\t\t\t}\n\t\t\t\t\t\t\t});\n\t\t\t\t\tbuilder.create().show();\n\t\t\t\t} else {\n\t\t\t\t\tcameraProperties.setVideoSize(value);\n\t\t\t\t\tpreviewHandler.obtainMessage(\n\t\t\t\t\t\t\tGlobalApp.MESSAGE_UPDATE_UI_VIDEO_SIZE)\n\t\t\t\t\t\t\t.sendToTarget();\n\t\t\t\t\tsettingValueList = getSettingValue();\n\t\t\t\t\tif (optionListAdapter == null) {\n\t\t\t\t\t\treturn;\n\t\t\t\t\t}\n\t\t\t\t\toptionListAdapter.notifyDataSetChanged();\n\t\t\t\t}\n\t\t\t\t//\n\t\t\t}\n\t\t};\n\t\tshowOptionDialog(title, videoSizeUIString, curIdx, listener, false);\n\t}", "public void setSize(int size) {\n\t\tthis.size = size;\n\t}", "public void setSize(int size) {\n\t\tthis.size = size;\n\t}", "public void setSize(int size) {\n\t\tthis.size = size;\n\t}", "public void setSize(int size) {\n\t\tthis.size = size;\n\t}", "public void actionPerformed(ActionEvent e) {\n\t\tif(e.getActionCommand() == \"year\") {\n\t\t\tgui.resizeYear();\n\t\t}\n\t\telse if(e.getActionCommand() == \"week\") {\n\t\t\tgui.resizeWeek();\n\t\t}\n\t\telse if(e.getActionCommand() == \"day\") {\n\t\t\tgui.resizeDay();\n\t\t}\n\t}", "void setSize(Dimension size);", "public void setSize(int size) {\n\t\t _size = size;\n\t}", "public void clickLargeUnit() {\r\n\t\twebAppDriver.clickElementById(btnLargeUnitsId);\r\n\t\twebAppDriver.verifyElementIsInvisibleByXpath(lbPleaseWaitXpath);\r\n\t}", "@Override\r\n\t\tpublic void actionPerformed(ActionEvent evt) {\n\t\t\tMenu.currentCard = 4;\r\n\t\t\tCardLayout cl = (CardLayout)(Menu.cardPanel.getLayout());\r\n\t\t\tSystem.out.println( ((JButton)evt.getSource()).getText() );\r\n\t\t\t\r\n\t\t\tcl.show(Menu.cardPanel, \"MATCH_SLIPS_SCREEN\");\r\n\t\t}", "public void clickDetailViewButton() {\n\t\tfilePicker.stickyButton(locDetailBtn);\n\t}", "@Override\n\tprotected void changeSize(int x, int y, int previousX, int previousY) {\n this.setWidth(this.getWidth()+(x-previousX));\n this.setHeight(this.getHeight()+(y-previousY));\n this.setX(this.getX()+(x-previousX));\n\t}", "@Override\n public void onClick(View view) {\n try {\n ScaleView oldView = layout.findViewById(R.id.scale_view_id);\n layout.removeView(oldView);\n } catch (Exception e) {\n Log.w(\"YOYOYO\", \"Exception: \" + e.getMessage());\n }\n\n scalePreview = new ScaleView(c, scales.get(magnificationValue.getSelectedItemPosition()));\n scalePreview.setId(R.id.scale_view_id);\n scalePreview.setZOrderOnTop(true);\n\n layout.addView(scalePreview);\n }", "public synchronized void clkSizeDropdown() {\n\t\ttry {\n\t\t\tWebActionUtil.waitForElement(btnSize, \"size Drop down\", 30);\n\t\t\tWebActionUtil.clickOnWebElement(btnSize, \"size Drop down\", \"Unable to clk on size Drop down\");\n\t\t}\n\t\t catch (Exception e) \n\t\t{\n\t\t\t WebActionUtil.error(e.getMessage());\n\t\t\tWebActionUtil.error(\"Unable to clk on size Drop down\");\n\t\t\tAssert.fail(\"Unable to clk on size Drop down\");\n\t\t}\n\t}", "private void viewPageClicked() {\n //--\n //-- WRITE YOUR CODE HERE!\n //--\n try{\n Desktop d = Desktop.getDesktop();\n d.browse(new URI(itemView.getItem().getURL()));\n }catch(Exception e){\n e.printStackTrace();\n }\n\n showMessage(\"View clicked!\");\n }", "public int askSize(String sizeName, int min, int max, String titel);", "void onConfigureClick(long id);", "public static Target selectSize(String size){\n\t\treturn Target.the(\"Select to size of dropdown list\").locatedBy(\"//option[@value='\"+size+\"']\");\n\t}", "public void clickAssessment() {\r\n\t\tthis.clickAssessment.click();\r\n\t}", "public void setSize(int _size)\r\n {\r\n size = _size;\r\n }", "public void clickonAddVehicleSideBar() {\r\n\t\tsafeClick(groupListSideBar.replace(\"Group List\", \"Vehicle List\"), SHORTWAIT);\r\n\t}", "@Generated\n @Selector(\"visibleSize\")\n @ByValue\n CGSize visibleSize();", "void clickAmFromMenu();", "public void onSmoothieClick(View view) {\n showDialogOrder(1);\n }", "public void mouseClicked(MouseEvent e)\n {\n Point p = convertToLogical(e.getX(), e.getY());\n inspectShelterAt(p);\n }", "void click(int slot, ClickType type);", "public abstract void sizeChanged(SizeChangedEvent event);", "public final void click() {\n getUnderlyingElement().click();\n }", "@Override\n\tprotected void OnClick() {\n\t\t\n\t}", "public void clickOnEditIcon()\r\n\t\t{\r\n\t\t\treceiptsetup.clickOnEditIcon();\r\n\t\t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\topenMacrosCalculator(v);\n\t\t\t\t\n\t\t\t}", "void clickFmFromMenu();", "public void loadSizeSelector() {\n sizeTitle = new Box(45, 10, 200, 70, 0);\r\n sizeTitle.setText(\"Select size\", 37);\r\n size4 = new Box(10, 80, 120, 50, 2);\r\n size4.setText(\"4\", 32);\r\n size5 = new Box(160, 80, 120, 50, 2);\r\n size5.setText(\"5\", 32);\r\n sizeSelector = new BigBox(450, 10, 290, 150, 0, sizeTitle, size4, size5);\r\n }", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tint i,j;\n\t\t\t\tfor(i=0;i<a;i++){\n\t\t\t\t\tfor(j=0;j<a-i-1;j++){\n\t\t\t\t\t\tint num1=det[j].size;\n\t\t\t\t\t\tint num2=det[j+1].size;\n\t\t\t\t\t\tif(num1>num2){\n\t\t\t\t\t\t\tdetails tempo=det[j];\n\t\t\t\t\t\t\tdet[j]=det[j+1];\n\t\t\t\t\t\t\tdet[j+1]=tempo;\n\t\t\t\t\t\t}\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\t\n\t\t\t\tfor(i=0;i<a;i++){\n\t\t\t\t\tHashMap<String,String> temp1 = new HashMap<String,String>();\n\t\t\t\t\ttemp1.put(\"name\",det[i].name);\n\t\t\t\t\ttemp1.put(\"size\",String.valueOf(det[i].size));\n\t\t\t\t\ttemp1.put(\"extn\",det[i].extn);\n\t\t\t\t\tsizes.add(temp1);\n\t\t\t\t}\n\t\t\t\tDisp1();\t\n\t\t\t}", "@Override\n public void onClick() {\n // TODO: Disabled adding shape on just click. It should be added inside the BPMNDiagram by default.\n // log(Level.FINE, \"Palette: Adding \" + description);\n // addShapeToCanvasEvent.fire(new AddShapeToCanvasEvent(definition, factory));\n }", "public void clickOnLogo() {\n\t\t\n\t}", "@Override\r\n public void actionPerformed(ActionEvent e) {\n state = \"select\";\r\n instruction.setText(\"Drag the rectangle to cover the whole shape which you want to select\");\r\n\r\n }", "void clickProduct(View v);", "public int getSelectionSize();", "public void maximalizeIconClicked(MouseEvent event) {\n if (stage.isFullScreen())\n stage.setFullScreen(false);\n else\n stage.setFullScreen(true);\n }", "protected void doScreenClick() {\r\n\t\tbtnColonyInfo.visible = btnButtons.down;\r\n\t\tbtnPlanet.visible = btnButtons.down;\r\n\t\tbtnStarmap.visible = btnButtons.down;\r\n\t\tbtnBridge.visible = btnButtons.down;\r\n\t\trepaint();\r\n\t}", "@Override\n\tpublic void onClick(View view) {\n\t\tif (view.getId() == R.id.draw_btn) {\n\t\t\t// draw button clicked\n\t\t\tdrawView.setErase(false);\n\t\t\tdrawView.setBrushSize(drawView.getLastBrushSize());\n\n\t\t\tfinal Dialog brushDialog = new Dialog(DrawingActivity.this);\n\t\t\t// brushDialog.setTitle(\"Brush size:\");\n\t\t\tbrushDialog.requestWindowFeature(Window.FEATURE_NO_TITLE);\n\t\t\tbrushDialog.setCancelable(false);\n\t\t\tbrushDialog.setContentView(R.layout.brush_chooser);\n\n\t\t\tTextView textViewSizesHeader = (TextView) brushDialog\n\t\t\t\t\t.findViewById(R.id.textViewSizesHeader);\n\t\t\ttextViewSizesHeader.setText(\"BRUSH SIZES\");\n\n\t\t\tImageButton smallBtn = (ImageButton) brushDialog\n\t\t\t\t\t.findViewById(R.id.small_brush);\n\t\t\tsmallBtn.setOnClickListener(new OnClickListener() {\n\t\t\t\t@Override\n\t\t\t\tpublic void onClick(View v) {\n\t\t\t\t\tdrawView.setBrushSize(smallBrush);\n\t\t\t\t\tdrawView.setLastBrushSize(smallBrush);\n\t\t\t\t\tbrushDialog.dismiss();\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tImageButton mediumBtn = (ImageButton) brushDialog\n\t\t\t\t\t.findViewById(R.id.medium_brush);\n\t\t\tmediumBtn.setOnClickListener(new OnClickListener() {\n\t\t\t\t@Override\n\t\t\t\tpublic void onClick(View v) {\n\t\t\t\t\tdrawView.setBrushSize(mediumBrush);\n\t\t\t\t\tdrawView.setLastBrushSize(mediumBrush);\n\t\t\t\t\tbrushDialog.dismiss();\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tImageButton largeBtn = (ImageButton) brushDialog\n\t\t\t\t\t.findViewById(R.id.large_brush);\n\t\t\tlargeBtn.setOnClickListener(new OnClickListener() {\n\t\t\t\t@Override\n\t\t\t\tpublic void onClick(View v) {\n\t\t\t\t\tdrawView.setBrushSize(largeBrush);\n\t\t\t\t\tdrawView.setLastBrushSize(largeBrush);\n\t\t\t\t\tbrushDialog.dismiss();\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tbrushDialog.show();\n\n\t\t} else if (view.getId() == R.id.erase_btn) {\n\t\t\t// switch to erase - choose size\n\n\t\t\tfinal Dialog brushDialog1 = new Dialog(DrawingActivity.this);\n\n\t\t\tbrushDialog1.requestWindowFeature(Window.FEATURE_NO_TITLE);\n\t\t\tbrushDialog1.setCancelable(true);\n\t\t\tbrushDialog1.setContentView(R.layout.brush_chooser);\n\t\t\tTextView textViewSizesHeader = (TextView) brushDialog1\n\t\t\t\t\t.findViewById(R.id.textViewSizesHeader);\n\n\t\t\ttextViewSizesHeader.setText(\"ERASER SIZES\");\n\t\t\tImageButton smallBtn = (ImageButton) brushDialog1\n\t\t\t\t\t.findViewById(R.id.small_brush);\n\n\t\t\tsmallBtn.setOnClickListener(new OnClickListener() {\n\n\t\t\t\tpublic void onClick(View v) {\n\t\t\t\t\tdrawView.setErase(true);\n\t\t\t\t\tdrawView.setBrushSize(smallBrush);\n\t\t\t\t\tbrushDialog1.dismiss();\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tImageButton mediumBtn = (ImageButton) brushDialog1\n\t\t\t\t\t.findViewById(R.id.medium_brush);\n\t\t\tmediumBtn.setOnClickListener(new OnClickListener() {\n\t\t\t\t@Override\n\t\t\t\tpublic void onClick(View v) {\n\t\t\t\t\tdrawView.setErase(true);\n\t\t\t\t\tdrawView.setBrushSize(mediumBrush);\n\t\t\t\t\tbrushDialog1.dismiss();\n\t\t\t\t}\n\t\t\t});\n\t\t\tImageButton largeBtn = (ImageButton) brushDialog1\n\t\t\t\t\t.findViewById(R.id.large_brush);\n\t\t\tlargeBtn.setOnClickListener(new OnClickListener() {\n\t\t\t\t@Override\n\t\t\t\tpublic void onClick(View v) {\n\t\t\t\t\tdrawView.setErase(true);\n\t\t\t\t\tdrawView.setBrushSize(largeBrush);\n\t\t\t\t\tbrushDialog1.dismiss();\n\t\t\t\t}\n\t\t\t});\n\t\t\tbrushDialog1.show();\n\n\t\t} else if (view.getId() == R.id.new_btn) {\n\n\t\t\tfinal Dialog dialog = new Dialog(DrawingActivity.this);\n\n\t\t\tLayoutInflater inflater = (LayoutInflater) this\n\t\t\t\t\t.getSystemService(Context.LAYOUT_INFLATER_SERVICE);\n\n\t\t\tView contentView = inflater.inflate(R.layout.alert_view, null,\n\t\t\t\t\tfalse);\n\n\t\t\tTextView textViewTitleAlert = (TextView) contentView\n\t\t\t\t\t.findViewById(R.id.textViewTitleAlert);\n\t\t\ttextViewTitleAlert.setText(\"NEW DRAWING\");\n\t\t\ttextViewTitleAlert.setTextColor(Color.WHITE);\n\t\t\tTextView textViewTitleAlertMessage = (TextView) contentView\n\t\t\t\t\t.findViewById(R.id.textViewTitleAlertMessage);\n\t\t\ttextViewTitleAlertMessage\n\t\t\t\t\t.setText(\"Start new drawing (you will lose the current drawing)?\");\n\n\t\t\tButton buttonAlertCancel = (Button) contentView\n\t\t\t\t\t.findViewById(R.id.buttonAlertCancel);\n\t\t\tButton buttonAlertOk = (Button) contentView\n\t\t\t\t\t.findViewById(R.id.buttonAlertOk);\n\t\t\tbuttonAlertCancel.setOnClickListener(new OnClickListener() {\n\n\t\t\t\t@Override\n\t\t\t\tpublic void onClick(View arg0) {\n\n\t\t\t\t\tdialog.dismiss();\n\n\t\t\t\t}\n\t\t\t});\n\t\t\tbuttonAlertOk.setOnClickListener(new OnClickListener() {\n\n\t\t\t\t@Override\n\t\t\t\tpublic void onClick(View arg0) {\n\t\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\t\tdrawView.startNew();\n\t\t\t\t\tdialog.dismiss();\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tdialog.requestWindowFeature(Window.FEATURE_NO_TITLE);\n\t\t\tdialog.setCancelable(false);\n\t\t\tdialog.setContentView(contentView);\n\t\t\tdialog.show();\n\n\t\t} else if (view.getId() == R.id.save_btn) {\n\n\t\t\tfinal Dialog dialog = new Dialog(DrawingActivity.this);\n\n\t\t\tLayoutInflater inflater = (LayoutInflater) this\n\t\t\t\t\t.getSystemService(Context.LAYOUT_INFLATER_SERVICE);\n\n\t\t\tView contentView = inflater.inflate(R.layout.alert_view, null,\n\t\t\t\t\tfalse);\n\n\t\t\tTextView textViewTitleAlert = (TextView) contentView\n\t\t\t\t\t.findViewById(R.id.textViewTitleAlert);\n\t\t\ttextViewTitleAlert.setText(\"SAVE DRAWING\");\n\t\t\ttextViewTitleAlert.setTextColor(Color.WHITE);\n\t\t\tTextView textViewTitleAlertMessage = (TextView) contentView\n\t\t\t\t\t.findViewById(R.id.textViewTitleAlertMessage);\n\t\t\ttextViewTitleAlertMessage\n\t\t\t\t\t.setText(\"Save drawing to device Gallery?\");\n\n\t\t\tButton buttonAlertCancel = (Button) contentView\n\t\t\t\t\t.findViewById(R.id.buttonAlertCancel);\n\t\t\tButton buttonAlertOk = (Button) contentView\n\t\t\t\t\t.findViewById(R.id.buttonAlertOk);\n\n\t\t\tbuttonAlertCancel.setOnClickListener(new OnClickListener() {\n\n\t\t\t\t@Override\n\t\t\t\tpublic void onClick(View arg0) {\n\n\t\t\t\t\tdialog.dismiss();\n\n\t\t\t\t}\n\t\t\t});\n\t\t\tbuttonAlertOk.setOnClickListener(new OnClickListener() {\n\n\t\t\t\t@Override\n\t\t\t\tpublic void onClick(View arg0) {\n\t\t\t\t\t// TODO Auto-generated method stub\n\t\t\t\t\tdrawView.setDrawingCacheEnabled(true);\n\t\t\t\t\tString imgSaved = MediaStore.Images.Media.insertImage(\n\t\t\t\t\t\t\tgetContentResolver(), drawView.getDrawingCache(),\n\t\t\t\t\t\t\tUUID.randomUUID().toString() + \".png\", \"drawing\");\n\t\t\t\t\tSystem.out.println(\"the string uri:\" + imgSaved);\n\n\t\t\t\t\tif (imgSaved != null) {\n\t\t\t\t\t\tToast savedToast = Toast\n\t\t\t\t\t\t\t\t.makeText(getApplicationContext(),\n\t\t\t\t\t\t\t\t\t\t\"Drawing saved to Gallery!\",\n\t\t\t\t\t\t\t\t\t\tToast.LENGTH_SHORT);\n\t\t\t\t\t\t// savedToast.show();\n\t\t\t\t\t\tdrawView.destroyDrawingCache();\n\t\t\t\t\t} else {\n\t\t\t\t\t\tToast unsavedToast = Toast.makeText(\n\t\t\t\t\t\t\t\tgetApplicationContext(),\n\t\t\t\t\t\t\t\t\"Oops! Image could not be saved.\",\n\t\t\t\t\t\t\t\tToast.LENGTH_SHORT);\n\t\t\t\t\t\t// unsavedToast.show();\n\t\t\t\t\t}\n\n\t\t\t\t\tdialog.dismiss();\n\t\t\t\t}\n\t\t\t});\n\n\t\t\tdialog.requestWindowFeature(Window.FEATURE_NO_TITLE);\n\t\t\tdialog.setCancelable(false);\n\t\t\tdialog.setContentView(contentView);\n\t\t\tdialog.show();\n\n\t\t\t/\n\t\t\t * AlertDialog.Builder saveDialog = new AlertDialog.Builder(this);\n\t\t\t * saveDialog.setTitle(\"Save drawing\");\n\t\t\t * saveDialog.setMessage(\"Save drawing to device Gallery?\");\n\t\t\t * saveDialog.setPositiveButton(\"Yes\", new\n\t\t\t * DialogInterface.OnClickListener() { public void\n\t\t\t * onClick(DialogInterface dialog, int which) { // save drawing\n\t\t\t * \n\t\t\t * drawView.setDrawingCacheEnabled(true); String imgSaved =\n\t\t\t * MediaStore.Images.Media .insertImage(getContentResolver(),\n\t\t\t * drawView .getDrawingCache(), UUID .randomUUID().toString() +\n\t\t\t * \".png\", \"drawing\"); System.out.println(\"the string uri:\" +\n\t\t\t * imgSaved);\n\t\t\t * \n\t\t\t * // Bitmap bitmap = //\n\t\t\t * MediaStore.Images.Media.getBitmap(this.getContentResolver(), //\n\t\t\t * imageUri);\n\t\t\t * \n\t\t\t * if (imgSaved != null) { Toast savedToast = Toast.makeText(\n\t\t\t * getApplicationContext(), \"Drawing saved to Gallery!\",\n\t\t\t * Toast.LENGTH_SHORT); savedToast.show();\n\t\t\t * drawView.destroyDrawingCache(); } else { Toast unsavedToast =\n\t\t\t * Toast.makeText( getApplicationContext(),\n\t\t\t * \"Oops! Image could not be saved.\", Toast.LENGTH_SHORT);\n\t\t\t * unsavedToast.show(); } } });\n\t\t\t * saveDialog.setNegativeButton(\"Cancel\", new\n\t\t\t * DialogInterface.OnClickListener() { public void\n\t\t\t * onClick(DialogInterface dialog, int which) { dialog.cancel(); }\n\t\t\t * }); saveDialog.show();\n\t\t\t */\n\t\t}\n\n\t}", "public void showCircleSizeSetup() {\n sizeArea.removeAllViewsInLayout();\n sizeArea.addView(radiusEdit);\n }", "public void clickMedium(ActionEvent actionEvent) {\n current.getSelector().update(Selector.AnswerType.MEDIUM);\n nextCard();\n }", "protected void createDialogSize ()\n {\n }", "public void ResizeActionPerformed(ActionEvent evt){\r\n int w = Integer.parseInt(imageWidth.getText());\r\n int h = Integer.parseInt(imageHeight.getText());\r\n drawingPanel.setImageSize(w, h);\r\n }", "public void clickProductDetailsViewInCartBtn(){\n clickElement(productDetailsViewInCart);\n }" ]	[ "0.6401202", "0.6308209", "0.6229473", "0.61410725", "0.60656", "0.6056182", "0.59900284", "0.5962123", "0.59115213", "0.5886176", "0.58616996", "0.58531076", "0.58329", "0.5815719", "0.58070374", "0.57383955", "0.57244277", "0.5694744", "0.5686629", "0.56684875", "0.5635394", "0.56204844", "0.56204844", "0.56201637", "0.5604695", "0.5577481", "0.5555061", "0.55539507", "0.555305", "0.55516446", "0.5535605", "0.5526891", "0.55242735", "0.55103153", "0.5500948", "0.5498933", "0.5495237", "0.5495237", "0.54851633", "0.5484044", "0.5477182", "0.5476761", "0.5472105", "0.54652756", "0.545796", "0.54578257", "0.54516304", "0.5447526", "0.5444383", "0.5435259", "0.54293525", "0.5421837", "0.5414839", "0.5407826", "0.5402704", "0.5402704", "0.5402704", "0.5402704", "0.5400216", "0.5399321", "0.5386917", "0.53859246", "0.5384872", "0.5384831", "0.5384768", "0.53684276", "0.5356197", "0.53470147", "0.5345861", "0.53416324", "0.53385127", "0.53350765", "0.5333852", "0.53289634", "0.5327684", "0.53272873", "0.5327199", "0.53199124", "0.5316514", "0.53117", "0.5309495", "0.5309403", "0.5304341", "0.53042585", "0.53024524", "0.5300789", "0.5291303", "0.5289109", "0.5287027", "0.5286703", "0.52775043", "0.5277482", "0.5264422", "0.5262714", "0.5259635", "0.52554864", "0.52528614", "0.5251373", "0.5249349", "0.5245751" ]	0.79901505	0
Get the Size Guide Description	public synchronized WebElement lnk_viewFullSizeGuide() throws Exception { WebElement element = null; if (utils.brand.equals("ATF") && utils.device.equals("desktop")) { element = utils.findElementByLocator(driver, "PDP_ViewSizeGuide_Link", "\| Size Guide Description not present"); } else if (utils.brand.equals("LO") \|\| utils.device.equalsIgnoreCase("mobile")) { element = utils.findElementByLocator(driver, "PDP_LO_lnk_SizeChart", "\| Size Guide Description not present"); } return element; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public abstract int getGuideDescription();", "public synchronized WebElement sizeGuideLabel() throws Exception {\n\n\t\tif (Utils.device.equals(\"mobile\"))\n\t\t\treturn utils.findElementByLocator(driver, \"PDP_MB_SizeGuide\", \"\| Size Guide label not present\");\n\t\telse\n\t\t\treturn utils.findElementByLocator(driver, \"PDP_SizeGuide\", \"\| Size Guide label not present\");\n\t}", "short getPaperSize();", "java.lang.String getDescribe();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "String getDescribe();", "String getDescribe();", "public RichText getDescr();", "java.lang.String getDesc();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "public String getDescription() {\n return sdesc;\n }", "@Override\n\tpublic String getSize() {\n\t\treturn sizeOfTheBeverage;\n\t}", "public String getDescInfo() {\n return descInfo;\n }", "@Override\n public String getDescription() {\n String desc = \"\";\n desc += \"Width: \" + getWidth() + \" Length: \" + getLength() + \"\\n\";\n desc += \"Monsters:\\n\";\n for (Monster m: monsters) {\n desc += m.getDescription() + \"\\n\";\n }\n desc += \"Treasures:\\n\";\n for (Treasure t: treasures) {\n desc += t.getDescription() + \"\\n\";\n }\n\n return desc;\n }", "String getDesc();", "public abstract int getGuideExtraContent();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getHumanReadableDescription();", "@Override\n public com.google.protobuf.ByteString\n getDescriptionBytes() {\n Object ref = description_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (String) ref);\n description_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }", "public com.google.protobuf.ByteString getDescriptionBytes() {\n java.lang.Object ref = description_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b =\n com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\n description_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }", "public com.google.protobuf.ByteString getDescriptionBytes() {\n java.lang.Object ref = description_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b =\n com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\n description_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }", "public com.google.protobuf.ByteString getDescriptionBytes() {\n java.lang.Object ref = description_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b =\n com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\n description_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }", "public com.google.protobuf.ByteString getDescriptionBytes() {\n java.lang.Object ref = description_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b =\n com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\n description_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }", "public com.google.protobuf.ByteString getDescriptionBytes() {\n java.lang.Object ref = description_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b =\n com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\n description_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }", "public java.lang.String getDescribe() {\n java.lang.Object ref = describe_;\n if (ref instanceof java.lang.String) {\n return (java.lang.String) ref;\n } else {\n com.google.protobuf.ByteString bs = \n (com.google.protobuf.ByteString) ref;\n java.lang.String s = bs.toStringUtf8();\n if (bs.isValidUtf8()) {\n describe_ = s;\n }\n return s;\n }\n }", "@Element \n public String getSize() {\n return size;\n }", "public long getSize()\n {\n return getLong(\"Size\");\n }", "public String getSize() {\r\n return size;\r\n }", "public String getDescription(){\n return getString(KEY_DESCRIPTION);\n }", "public com.google.protobuf.ByteString\n getDescriptionBytes() {\n java.lang.Object ref = description_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n description_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }", "@java.lang.Override\n public com.google.protobuf.ByteString getDescriptionBytes() {\n java.lang.Object ref = description_;\n if (ref instanceof java.lang.String) {\n com.google.protobuf.ByteString b =\n com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\n description_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }", "@java.lang.Override\n public com.google.protobuf.ByteString getDescriptionBytes() {\n java.lang.Object ref = description_;\n if (ref instanceof java.lang.String) {\n com.google.protobuf.ByteString b =\n com.google.protobuf.ByteString.copyFromUtf8((java.lang.String) ref);\n description_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }" ]	[ "0.6840541", "0.6524584", "0.63703024", "0.6223348", "0.6199163", "0.6199163", "0.6199163", "0.6199163", "0.6199163", "0.6199163", "0.6199163", "0.6199163", "0.6199163", "0.6185734", "0.6185734", "0.61613715", "0.61601", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.6104957", "0.60862005", "0.60684764", "0.60672486", "0.60651034", "0.60642135", "0.605273", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.60475266", "0.6030333", "0.60203046", "0.6019211", "0.6019211", "0.6019211", "0.6019211", "0.6019211", "0.6011221", "0.6005067", "0.6005009", "0.60023123", "0.59986705", "0.5996956", "0.599454", "0.599454" ]	0.60982573	55
Get the Shipping & Return Label	public synchronized WebElement shippingReturnLabel() throws Exception { return utils.findElementByLocator(driver, "PDP_ShippingReturn", "\| Shipping & Return label not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "com.microsoft.schemas.xrm._2011.contracts.Label getLabel();", "public String getShippingConvert() {\r\n\t\treturn this.getShipping().getName();\r\n\t}", "String getLabel();", "String getLabel();", "java.lang.String getLabel();", "com.google.ads.googleads.v6.resources.Label getLabel();", "String getLocationLabel();", "public java.lang.String getLabel();", "com.google.ads.googleads.v6.resources.CustomerLabel getCustomerLabel();", "public String getFormattedReceiptLabel() {\t \n\t String receiptLabel = res.getString(getReceiptLabel().getKey());\t \n\t int numberOfSpaces = ((totalLength - receiptLabel.length()) / 2);\t \n\t String prefix = \"\";\n\t String postfix = \"\";\n\t for(int i = 0; i < numberOfSpaces; i++) {\n\t\t prefix += \" \";\n\t\t postfix += \" \";\n\t }\n\t receiptLabel = prefix + receiptLabel + postfix;\t \n\t return receiptLabel;\n }", "public String getLabel();", "public String getLabel();", "public String getLabel();", "public String getLabel();", "public String getNetPayableShipping()\n\t{\n\t\twaitForVisibility(netPayableShipping);\n\t\treturn netPayableShipping.getText();\n\t}", "public String getLabel() { //gets the label\n\n\t\treturn rawLabel;\n\t}", "Label getLabel();", "Label getLabel();", "Label getLabel();", "public L getLabel() {\n\t\tcheckRep();\n\t\treturn this.label;\n\t}", "public String getLabel() {\n return _label == null ? name() : _label;\n }", "com.microsoft.schemas.xrm._2011.contracts.Label getDescription();", "private String getFundingLabel(String type, Locale locale) {\n String paymentMethodLabel = \"\";\n if (type.equalsIgnoreCase(PdfConstants.PROMO_CREDIT)) {\n paymentMethodLabel = getMessage(locale, \"pdf.receipt.promoCredit\");\n } else if (type.equalsIgnoreCase(PdfConstants.BLACKHAWK)) {\n paymentMethodLabel = getMessage(locale, \"pdf.receipt.reloaditPack\");\n } else if (type.equalsIgnoreCase(PdfConstants.PRECASH)) {\n paymentMethodLabel = getMessage(locale, \"pdf.receipt.evolvePayBucks\");\n } else if (type.equalsIgnoreCase(PdfConstants.INCOMM)) {\n paymentMethodLabel = getMessage(locale, \"pdf.receipt.vanillaReload\");\n }\n return paymentMethodLabel;\n }", "public String getLBR_ICMS_TaxStatusTN();", "public String getLabel()\n { \n return label;\n }", "@Override\n\tpublic BarcodePrintLabelDto getCommonLabelPrintInfoExpress(\n\t\t\tString waybillNo,String waybillstatus) {\n\t\treturn null;\n\t}", "String getLabel() {\n return label;\n }", "public String getLabel()\n {\n return label;\n }", "@Override\n\tpublic String getCommerceShippingOptionLabel(String name, Locale locale) {\n\n\t\tResourceBundle resourceBundle = ResourceBundleUtil.getBundle(\"content.Language\", locale, getClass());\n\n\t\treturn LanguageUtil.get(resourceBundle, name);\n\t}", "public String getLBR_ICMS_TaxStatusSN();", "String nameLabel();", "public String getLabel(){\n return label;\n }", "public String getLabel(){\n\t\treturn label;\n\t}", "public String getLabel()\r\n {\r\n return label;\r\n }", "public String getLabel()\r\n {\r\n return label;\r\n }", "public String getLabel()\n {\n return m_label;\n }", "public String getLabel()\n\t{\n\t\treturn label;\n\t}", "public String getLabel() {\n\t String name = getLiteralValue(Foaf.NAME);\n\t \n\t if (name == null) {\n\t name = getLiteralValue(Foaf.GIVENNAME);\n\t }\n\t \n\t if (name == null) {\n\t name = getLiteralValue(RDFS.label);\n\t }\n\t \n\t if (name == null) {\n\t return getURI();\n\t }\n\t return name;\n }", "public com.commercetools.api.models.common.LocalizedString getLabel() {\n return this.label;\n }", "public String getLabel()\n {\n return label;\n }", "public String getLabel() {\n return label;\n }", "private String getLabel() {\n return this.label;\n }", "public String getLabel() {\n\t\treturn myLabel;\n\t}", "public String getLabel() {\n return label;\n }", "public String toString(){\n\t\treturn getClass() + \" has tracking number \" + trackingNumber + \", weighs \" + weight + \" lb(s), and shipping cost of \" + shippingCost;\n\t}", "public String getLabel() {\n return label;\n }", "public String getLabel() {\r\n return lbl;\r\n }", "@Override\n\tpublic String toString() {\n\t\treturn label;\n\t}", "public String getLabel(){\n\t\treturn sAnzeige;\n\t}", "public final String getLabel() {\n\t\treturn _label;\n\t}", "public String getLabel() {\r\n return label;\r\n }", "public String getLabel() {\r\n return label;\r\n }", "public String getLabel() {\r\n return label;\r\n }", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getLabel() {\r\n\t\treturn label;\r\n\t}", "double getLabel();", "public String getLabel() {\n\t\treturn label;\n\t}", "public String getLabel() {\n return label;\n }", "public String getLabel() {\n return label;\n }", "public String getLabel() {\n return label;\n }", "public double getLabel() {\n\t\treturn label;\n\t}", "public String getLabel() {\r\n return label;\r\n }", "public Object getLabel() \n {\n return label;\n }", "public String getLabel() {\n return getElement().getChildren()\n .filter(child -> child.getTag().equals(\"label\")).findFirst()\n .get().getText();\n }", "public String toString() {\n return label;\n }", "public String getLabel() {\n return label == null ? StringUtils.EMPTY : label;\n }", "public String toString()\n {\n return label;\n }", "private int getAddress(String label) {\n for (int i = 0; i < symbols.length; i++) {\n if (symbols[i].equals(label)) {\n return addresses[i];\n }\n }\n return NO_LABEL;\n }", "public Label getLabel() {\n\t\treturn label;\n\t}", "public Label getLabel() {\n\t\treturn label;\n\t}", "public java.lang.String getLabel() {\n\t\treturn this.label;\n\t}", "public String getLabel() {\n return this.label;\n }", "public String getLabel() {\n return this.label;\n }", "public String getLabel() {\n return this.label;\n }", "public String getLabel() {\n return this.label;\n }", "public abstract String getLabel();", "private String getLabel(String labelAudit) {\n\t\tString label = null;\n\t\tif(labelForAuditLabel.containsKey(labelAudit)) {\n\t\t\tlabel = labelForAuditLabel.get(labelAudit);\n\t\t\tif(label != null) {\n\t\t\t\tif(label.isEmpty())\n\t\t\t\t\tlabel = null;\n\t\t\t\telse\n\t\t\t\t\tlabel = messageSource.getMessage(label, null, Locale.getDefault());\n\t\t\t\t\t//messageSource.getMessage(\"label.dati_verbale\", values, Locale.getDefault())\n\t\t\t}\n\t\t} else {\n\t\t\t//LOGGER.info(\"label_mancante\");\n\t\t\tLOGGER.info(labelAudit);\n\t\t\tlabel = \"??key \" + labelAudit + \" not found??\";\n\t\t}\n\t\treturn label;\n\t}", "public String getLabel() {\n\t\treturn this._label;\n\t}", "public String getLabelText();", "@Override\n public java.lang.String getLabelToDisplay() throws G2AccessException {\n java.lang.Object retnValue = getAttributeValue (SystemAttributeSymbols.LABEL_TO_DISPLAY_);\n return (java.lang.String)retnValue;\n }", "public String getLabel() {\n return this.label;\n }", "public org.drip.state.identifier.FundingLabel fundingLabel()\n\t{\n\t\treturn _lsPeriod.get (0).fundingLabel();\n\t}", "private String labelFeature(int feature) {\r\n\t\treturn label[feature];\r\n\t}", "private String getLabel(int address) {\n int key = Arrays.binarySearch(addresses, address);\n if (key >= 0) {\n return \"(\" + symbols[key] + \")\";\n }\n return \"\";\n }", "public String getLabel() {\n\t\t// just return item text until we get the grade levels straighted out for\n\t\t// comm_core\n\t\treturn this.itemText;\n\t\t/\n\t\t if (this.label == null) { if (this.getLevel() == 1) { this.label =\n\t\t * this.itemText; } else if (this.getIsLeafNode()) { this.label = \"[\" +\n\t\t * this.getGradeRange() + \"] \" + this.itemText; } else { this.label =\n\t\t * this.itemText + \" [\" + this.getGradeRange() + \"]\"; } } return this.label;\n\t\t */\n\t}", "public String label() {\n\t\treturn \"LABEL_\" + (labelCount++);\n\t}", "public String toString() {\r\n\t\treturn \"Jump branchLabel: \" + branchLabel;\r\n\t}", "public int getLabel() {\n\t\treturn label;\n\t}", "public String getLabel() {\n return TrackerRes.getString(\"ModelFunctionPanel.Label\"); //$NON-NLS-1$\n }", "public T2 getLabel() {\r\n\t\treturn label;\r\n\t}", "public String getShipping(){\n return this.post.getType();\n }", "@JsonGetter(\"label\")\r\n public String getLabel ( ) { \r\n return this.label;\r\n }", "@Override\n public String getLabel() {\n return label;\n }", "public gov.nih.nlm.ncbi.www.soap.eutils.efetch_pmc.Label getLabel() {\r\n return label;\r\n }", "public String label() {\n return this.label;\n }", "public synchronized WebElement shippingReturnDescription() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ShippingReturnDescription\",\n\t\t\t\t\"\| Shipping & Return Description not present\");\n\t}", "public Label getLabel() {\n\t\treturn this.label;\n\t}", "public String getLabel() {\n return name().toLowerCase().replace(\"_\", \"\");\n }" ]	[ "0.7106705", "0.6579291", "0.65725255", "0.65725255", "0.6482616", "0.6467171", "0.6467126", "0.64543766", "0.64374423", "0.6392582", "0.62808466", "0.62808466", "0.62808466", "0.62808466", "0.6235968", "0.62160116", "0.61971986", "0.61971986", "0.61971986", "0.6185361", "0.6066308", "0.6057602", "0.6045563", "0.6037736", "0.6019035", "0.60125214", "0.6004838", "0.59948164", "0.5988559", "0.59857154", "0.59817594", "0.59784526", "0.5965583", "0.5965546", "0.5965546", "0.5958474", "0.595514", "0.5954511", "0.59503233", "0.594019", "0.59284467", "0.59263486", "0.59178066", "0.5915571", "0.5912755", "0.59107983", "0.5901674", "0.59008753", "0.5899132", "0.5893555", "0.58809435", "0.58809435", "0.58809435", "0.5878309", "0.5878309", "0.5878309", "0.5878309", "0.5876026", "0.5872661", "0.5871303", "0.5871303", "0.5871303", "0.586529", "0.5855648", "0.5854074", "0.58481723", "0.5842061", "0.584042", "0.58343375", "0.5831864", "0.58239114", "0.58239114", "0.58120364", "0.5811328", "0.5811328", "0.5811328", "0.5811328", "0.5807979", "0.58065414", "0.5794313", "0.5790753", "0.5768395", "0.5767257", "0.5766322", "0.57635456", "0.57598424", "0.5754822", "0.57506305", "0.5749213", "0.5745", "0.5737415", "0.5735302", "0.5723401", "0.5717171", "0.57170194", "0.5714995", "0.57137245", "0.57088846", "0.57063705", "0.56905323" ]	0.7527207	0
Click on Shipping & Return	public synchronized void click_lnk_shippingReturn() throws Exception { utils.clickWebElement(driver, shippingReturnLabel(), "Shipping & Return label not found"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "void clickOnDelivery(Delivery delivery);", "public void continueToShipping() {\r\n\t\tclick(shipping);\r\n\t}", "public void purchaseFlights()\r\n\t{\n\t\tdriver.findElement(By.xpath(trObj.PURCHASEFLISGHTS)).click();\r\n\r\n\t}", "public void click_Continue_ShippingSummary()\n\t{\n\t\twaitForVisibility(continueShippingSummary);\n\t\tcontinueShippingSummary.click();\n\t}", "void leftClickPressedOnDelivery();", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tgetDeliveryList(true, solverMan);\n\t\t\t}", "public void backToFlights(){\n logger.debug(\"click on Back To Flights button\");\n driver.findElement(oBackToFlights).click();\n }", "public void clickCheckout()\n\t{\n\t\twaitForVisibility(checkout);\n\t\tcheckout.click();\n\t}", "@When(\"user clicks on checkoutbutton\")\r\n\tpublic void usert_clicks_on_checkoutbutton() {\n\t\tdriver.findElement(By.xpath(\"//[@id=\\\"cart\\\"]/tfoot/tr[2]/td[5]/a\")).click();\r\n\t}", "public void clickPaypal() {\n\t\t\n\t\tclick(paypalButton);\n\t}", "public void clickProductDetailsViewInCartBtn(){\n clickElement(productDetailsViewInCart);\n }", "@Override\r\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tonPay();\r\n\t\t\t}", "@Override\n public void onClick(View v) {\n Intent r3page = new Intent(v.getContext(), No1ShipStreet.class);\n startActivity(r3page);\n }", "@Then(\"^click on checkout$\")\r\n\tpublic void click_on_checkout() throws Throwable {\n\t\tverbose(\"********************************************************\");\r\n\t\tAssert.assertTrue(navigate_rsc.checkout());\r\n\t\tverbose(\"********************************************************\");\r\n\t \r\n\t}", "public void clickOnProceedToCheckoutButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnProceedToCheckoutButton.click();\n\n \t}", "public void clickDemandSideManagement();", "public void clickOnViewCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnViewCartButton.click();\n\n \t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\n\n\t\t\t\tfnCreditAndStockCal(1);\n\n\n\t\t\t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\n\t\t\t\tfnCreditAndStockCal(2);\n\n\n\t\t\t}", "private void FortifyButtonMouseClicked(java.awt.event.MouseEvent evt) {// GEN-FIRST:event_FortifyButtonMouseClicked\r\n\t\trisk.setState(RiskGameModel.FORTIFY);\r\n\t\trisk.notifyPhaseViewChange();\r\n\t\tstatusLabel.setText(\"Select a country move armies from\");\r\n\t\tUtility.writeLog(\"Fortify Phase entered\");\r\n\t}", "@Override\n\tpublic void onClick(View v) {\n\t\tswitch (v.getId()) {\n\t\tcase R.id.rl_back_otherfee:\n\t\t\tfinish();\n\t\t\tbreak;\n\n\t\tdefault:\n\t\t\tbreak;\n\t\t}\n\t}", "public void clickProductDetailsAddToCartBtn(){\n clickElement(productDetailsAddToCart);\n }", "@Override\n\t\t\tpublic void onClick(View v) {\n\n\t\t\t\tfnCreditAndStockCal(3);\n\n\n\t\t\t}", "public void onClickDelivery(View view) {\n savePreferences();\n Intent intent = new Intent(this, ActDelivery.class);\n\n // Passing order information using Intent.putString();\n intent.putExtra(\"items\", new String[]{(String) spEntree.getSelectedItem(),\n (String) spDrink.getSelectedItem(), (String) spDessert.getSelectedItem()});\n intent.putExtra(\"subtotal\", subtotal);\n\n startActivity(intent);\n }", "public void clickZone()\n\t{\n\t\tString t=driver.findElement(By.xpath(\"//label[text()='Zones']/following-sibling::div//div/button\")).getAttribute(\"title\");\n\t\tif(t.contains(\"Select Zone(s)\"))\n\t\t{\n\t\t\tWebElement r =\tdriver.findElement(By.xpath(\"//label[text()='Zones']/following-sibling::div//div/button\"));\n\t\t\twaitForElement(driver,r,50);\n\t\t\tJavascriptExecutor exe = (JavascriptExecutor)driver;\n\t\t\texe.executeScript(\"arguments[0].click()\", r);\n\t\t}\n\t\telse\n\t\t{\n\t\t\tWebElement r =driver.findElement(By.xpath(\"//label[text()='Zones']/following-sibling::div//div/button\"));\n\t\t\twaitForElement(driver,r,50);\n\t\t\tJavascriptExecutor exe = (JavascriptExecutor)driver;\n\t\t\texe.executeScript(\"arguments[0].click()\", r);\n\t\t}\n\t}", "public void clickOnAddToCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickAddToCartButton.click();\n\n \t}", "void onClick(Address addr);", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tonInappBilling();\n//\t\t\t\tonBuyPressed();\n\t\t\t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tPageUtil.jumpTo(MyOrderActivity.this, MyOrderAll.class);\n\t\t\t}", "public void clickOnAddVehicleButton() {\r\n\t\tsafeClick(addMarkerOkButton.replace(\".ant-modal-footer button.ant-btn.ant-btn-primary\",\r\n\t\t\t\t\".ant-btn.ant-btn-primary\"), SHORTWAIT);\r\n\t}", "private void clickInvite(){\n WebDriverHelper.clickElement(inviteButton);\n }", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\trequestLocClick();\n\t\t\t}", "public void clickNoFee() {\n rbNoFee.click();\n }", "void clickAmFromMenu();", "void clickProduct(View v);", "@Override\n public void onClick(View v) {\n switch (v.getId()) {\n case R.id.btnOrder:\n onBtnOrderClick();\n break;\n default:\n break;\n }\n }", "public void orderClicked(View view) {\n Log.d(\"Method\", \"orderClicked()\");\n orderPlace();\n }", "void clickSomewhereElse();", "public void makeAnotherPayment() {\n btnMakeAnotherPayment().click();\n }", "public void myorders() {\r\n\t\t\tdriver.findElement(orders).click();\r\n\t\t\t\r\n\t\t\t}", "@Override\r\n\t\t\tpublic void onClick(View v) {\n\r\n\t\t\t\tonPayWithOutAmount();\r\n\t\t\t}", "public void clickYes ();", "public void clickOnContinueShoppingButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnContinueShoppingButton.click();\n\n \t}", "@Override\n\tpublic void onClick(View arg0) {\n\t\t\n\t flightNum.setFocusable(true);\n flightNum.setFocusableInTouchMode(true);\n\t flightNum.requestFocus();\n\t flightNum.requestFocusFromTouch();\n\t\t\n\t\tswitch (arg0.getId()) {\n\t\tcase R.id.flight_select_imagebutton://点击查询按钮\n\t\t\t\n\t\t\tif(TextUtils.isEmpty(flightNum.getText().toString().trim())){\n\t\t\t\t\n\t\t\t\t Toast.makeText(getActivity(), \"请输入航班号\", Toast.LENGTH_SHORT).show();\n\t\t\n\t\t\t\t flightNum.setShakeAnimation();//摇晃输入框\n\t\t\t\t\n\t\t\t}else{\n\t\t\t\t//异步发起请求，获取航班信息\n\t\t\t\thandler.sendEmptyMessage(0x100);\n\t\t\t\t\n\t\t\t}\n\t\t\t\n\t\t\t\n\t\t\t\n\t\t\tbreak;\n\n\t\tcase R.id.flight_date_click://点击日期\n\t\t\t\n\t\t\t utilsClass.getCalendarDate(getActivity(),flightDataShow);//日历显示\n\t\t\t\n\t\t\tbreak;\n\t\t}\n\t\t\n\t}", "public void Cart_icon() {\r\n\t\tthis.Cart_icon.click();\r\n\t}", "public void myorders() {\n\t\t\t\r\n\t\t\t\r\n\t\tBy my=By.xpath(\"//a[@href='/my/orders/create?form']\");\r\n\t\tWebElement We_my=wt.ElementToBeClickable(my, 20);\r\n\t\tWe_my.click();\r\n\t\t}", "void clickNextStation();", "@When(\"^I enter Same Day Delivery shipping address on guest shipping page$\")\n public void I_enter_shipping_address_on_guest_shipping_page() {\n HashMap<String, String> opts = new HashMap<>();\n pausePageHangWatchDog();\n opts.put(\"sdd_eligible\", \"true\");\n if (macys()) {\n new Checkout(opts, false).fillShippingData(false);\n } else {\n new CheckoutPageBcom(opts, false).fillGuestShippingData(false);\n }\n resumePageHangWatchDog();\n }", "public void ClickCommissionRatesPage() {\r\n\t\tcommissionrates.click();\r\n\t\t\tLog(\"Clicked the \\\"Commission Rates\\\" button on the Birthdays page\");\r\n\t}", "public void click() {\n\t\tif(toggles) {\n\t\t\tvalue = (value == 0) ? 1 : 0;\t// flip toggle value\n\t\t}\n\t\tupdateStore();\n\t\tif(delegate != null) delegate.uiButtonClicked(this);\t// deprecated\n\t}", "void issuedClick(String item);", "public void clickOnFridge() {\n click(getElementFromList(containerFrigde, 0));\n }", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tClickFN();\n\t\t\t}", "@Override\r\n\t\t\tpublic void onClick(View v) {\n\t\t\t\txgGrzlTj();\r\n\t\t\t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tClickFineModulation();\n\t\t\t}", "@Override\n\t public void onClick(View v) {\n\t \t SendReqToPebble();\n\t }", "public static void goToCheckout() {\n click(CHECKOUT_UPPER_MENU);\n }", "public void clickViewCartButton(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Viewcart button should be clicked\");\r\n\t\ttry{\r\n\t\t\t//waitForElement(btnViewCart);\r\n\t\t\twaitForElement(locator_split(\"btnViewCartBtn\"));\r\n\t\t\t//click(btnViewCart);\r\n\t\t\tclick(locator_split(\"btnViewCartBtn\"));\r\n\t\t\twaitForPageToLoad(20);\r\n\r\n\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Viewcart button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- View button is not clicked \"+elementProperties.getProperty(\"btnViewCartBtn\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnViewCartBtn\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\r\n\t}", "@Override\n\t\tpublic void onClick(View v) {\n\n\t\t\tswitch (v.getId()) {\n\t\t\t/\n\t\t\t * case R.id.rlEmail: if\n\t\t\t * (mMainBundle.containsKey(Constants.EMAIL_ADDRESS) &&\n\t\t\t * mMainBundle.get(Constants.EMAIL_ADDRESS) != null) { setEmail(); }\n\t\t\t * else { etEmailOrNumber.setText(\"\");\n\t\t\t * toogleReceiptMethod(textEmail); etEmailOrNumber\n\t\t\t * .setInputType(InputType.TYPE_TEXT_VARIATION_EMAIL_ADDRESS);\n\t\t\t * isEmailSelected = true; isSMSselected = false; } break;\n\t\t\t * \n\t\t\t * case R.id.rlSMS: if\n\t\t\t * (mMainBundle.containsKey(Constants.PASSENGER_NUMBER) &&\n\t\t\t * mMainBundle.get(Constants.PASSENGER_NUMBER) != null) {\n\t\t\t * setPhoneNumber(); } else { etEmailOrNumber.setText(\"\");\n\t\t\t * toogleReceiptMethod(textSMS);\n\t\t\t * etEmailOrNumber.setInputType(InputType.TYPE_CLASS_PHONE);\n\t\t\t * isEmailSelected = false; isSMSselected = true; } break;\n\t\t\t /\n\n\t\t\tcase R.id.rlSendReceipt:\n\t\t\t\tsendReceiptCall();\n\n\t\t\t\tbreak;\n\n\t\t\tcase R.id.rlHiddenSendReceipt:\n\t\t\t\tsendReceiptCall();\n\n\t\t\t\tbreak;\n\n\t\t\tcase R.id.tvPickUpLocation:\n\n\t\t\t\tisPickUpLocationClick = true;\n\t\t\t\tisDropOffLocationclicked = false;\n\t\t\t\tlocationSelected(textPickUpLocation);\n\t\t\t\tgetCurrentLocation();\n\t\t\t\tbreak;\n\n\t\t\tcase R.id.tvDropOffLocation:\n\t\t\t\tisDropOffLocationclicked = true;\n\t\t\t\tisPickUpLocationClick = false;\n\t\t\t\tlocationSelected(textDropOffLocation);\n\t\t\t\tgetCurrentLocation();\n\t\t\t\tbreak;\n\n\t\t\tcase R.id.tvTotal:\n\t\t\t\tbreak;\n\n\t\t\t}\n\t\t}", "public void onPayClick(){\n this.user.updateCreditDec(priceToBePaid);\n Alert alert = new Alert(Alert.AlertType.INFORMATION);\n alert.setTitle(\"Information Dialog\");\n alert.setHeaderText(null);\n alert.setContentText(\"Payment successful! You payed \" + cost.getText());\n alert.showAndWait();\n }", "public void PurchaseTicket_OnClick(View view){\n\t\tVibrateButton();\n\t\tpurchaseTicket();\n\t}", "@When(\"user clicks on cart symbol\")\r\n\tpublic void user_clicks_on_cart_symbol() {\n\t\tdriver.findElement(By.xpath(\"//[@id=\\\"header\\\"]/div[1]/div/div/div[2]/div/a[2]\")).click();\r\n\t}", "@Override\n\t\t\tpublic void onClick(View arg0) {\n\t\t\t\t\n\t\t\t\t\n\t\t\t\tToast.makeText(c, \"Correct Address not available\", Toast.LENGTH_SHORT).show();\n\t\t\t/\tIntent i = new Intent(SingleShop.this, Gallery.class);\n\t\t\t\tstartActivity(i);\n\t\t\t\t///\tFragmentTransaction ft =\t((ActionBarActivity)context).getSupportFragmentManager().beginTransaction().replace(R.id.frame_container, ft).commit();;\n\n\t\t\t\t\n\t\t\t}", "@Override\r\n\t\t\tpublic void onClick(View arg0) {\n\t\t\t\tServiceAdditionActivity.setclass(\"rebuy\");\r\n\t\t\t\tstartActivity(new Intent(ServiceActivity.this,ServiceAdditionActivity.class));\r\n\t\t\t}", "public void chooseFlights()\r\n\t{\n\t\tdriver.findElement(By.xpath(trObj.CHOOSEFLISGHTS)).click();\r\n\r\n\t}", "public void clickViewCart(){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- ViewCart button should be clicked\");\r\n\t\ttry{\r\n\t\t\twaitForPageToLoad(25);\r\n\t\t\twaitForElement(locator_split(\"BybtnSkuViewCart\"));\r\n\t\t\tclick(locator_split(\"BybtnSkuViewCart\"));\r\n\t\t\twaitForPageToLoad(25);\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- ViewCart button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- ViewCart button is not clicked \"+elementProperties.getProperty(\"BybtnSkuViewCart\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"BybtnSkuViewCart\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t} \r\n\t}", "public void clickGetDirectionsButton() {\r\n\t\twebAppDriver.clickElementByXpath(btnGetDirectionsXpath);\r\n\t}", "@Override\n\t\t\tpublic void onClick(View arg0) {\n\t\t\t Intent intent=new Intent();\n\t\t\t intent.putExtra(\"info\", info);\n\t\t\t intent.putExtra(\"price\", price);\n\t\t\t intent.setClass(WxcOrderActivity.this, WxcPayActivity.class);\n\t\t\t startActivity(intent);\n\t\t\t}", "@Override\n\tprotected void OnClick() {\n\t\t\n\t}", "public void clickingOnGiftLink(WebDriver driver)\r\n\t {\r\n\t\t try\r\n\t\t {\r\n\t\t\t driver.manage().timeouts().implicitlyWait(10,TimeUnit.SECONDS);\r\n\t driver.findElement(By.xpath(\"//a[contains(text(),'Gift')]\")).click();\r\n\t\t\t log.info(\"Clicked on View/Edit Credits Link\");\r\n\t driver.manage().timeouts().implicitlyWait(5,TimeUnit.SECONDS); \r\n\t\t }catch(Exception e)\r\n\t\t{\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t }", "public void click() {\n System.out.println(\"Click\");\n }", "public void ClickPlansOfferedPage() {\r\n\t\tplansoffered.click();\r\n\t\t\tLog(\"Clicked the \\\"Plans Offered\\\" button on the Birthdays page\");\r\n\t}", "protected void doScreenClick() {\r\n\t\tbtnColonyInfo.visible = btnButtons.down;\r\n\t\tbtnPlanet.visible = btnButtons.down;\r\n\t\tbtnStarmap.visible = btnButtons.down;\r\n\t\tbtnBridge.visible = btnButtons.down;\r\n\t\trepaint();\r\n\t}", "public void clickOrders() throws InterruptedException{\n\t\tThread.sleep(1000);\n\t\tlibManhattanCommonFunctions.clickAnyElement(getPageElement(\"OrdersLnk\"), \"Orders\"); \n\t\tThread.sleep(1000);\n\t}", "@Override\r\n\t\tpublic void onClick(View v) {\n\t\t\tswitch (v.getId()) {\r\n\t\t\tcase R.id.liscli_shopName:\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\r\n\t\t}", "@Override\n\t\t\tpublic void onClick(View arg0) {\n\t\t\t\tIntent intent=new Intent();\n\t\t\t\tintent.setClass(WxcOrderActivity.this, WxcMainActivity.class);\n\t\t\t\tstartActivity(intent);\n\t\t\t}", "public void gotoDetailSalesOrder() {\n\t}", "@Override\n\t\t\tpublic void buttonClick(ClickEvent event) {\n\t\t\t\t\n\t\t\t\t\n\t\t\t\tUI.getCurrent().getNavigator().navigateTo(\"CliPantallaBusquedaExpedientes\");\t \n\t\t\t}", "@Override\n public void onClick(View view) {\n String location = \"\";\n boolean met = false;\n if(method == 0){\n location = spTableChoice.getSelectedItem().toString();\n met = true;\n }else if(method == 1 && !etPickupName.getText().toString().isEmpty()){\n met = true;\n location = etPickupName.getText().toString();\n }else{\n Toast.makeText(getApplicationContext(), \"Please enter a pickup name!\", Toast.LENGTH_SHORT).show();\n }\n\n if(met){\n // Finalise the order as an order object\n order.setDestination(location);\n order.setOrderItems(orderHeld);\n order.setTotalPrice(totalPrice);\n\n addOrderDB();\n Toast.makeText(getApplicationContext(), \"Placed!\", Toast.LENGTH_SHORT).show();\n\n // Move to payment now\n //PayPalPay(totalPrice);\n }\n\n }", "void click(int slot, ClickType type);", "@Override\r\n\tpublic void onClick(View v) {\n\t\tsuper.onClick(v);\r\n\t\tswitch(v.getId()){\r\n\t\tcase R.id.btn_title_right:\r\n\t\t\tCmmobiClickAgentWrapper.onEvent(this, \"t_tra_line\", \"4\");\r\n\t\t\tIntent infoIntent = new Intent(this, RailTravelOrderInfoActivity.class);\r\n\t\t\tif(lineInfoResp!=null && !TextUtils.isEmpty(lineid)){\r\n\t\t\t\tinfoIntent.putExtra(\"lineinfo\", new Gson().toJson(lineInfoResp, GsonResponseObject.travelLineInfoResp.class));\r\n\t\t\t\tinfoIntent.putExtra(\"lineid\", lineid);\r\n\t\t\t}\r\n\t\t\tstartActivityForResult(infoIntent, REQUEST_CODE_SUCCESS);\r\n\t\t\tbreak;\r\n\t\tcase R.id.btn_check_one:\r\n\t\tcase R.id.btn_check_two:\r\n\t\tcase R.id.btn_check_three:\r\n\t\t\tonCheckChanged(v.getId());\r\n\t\t\tbreak;\r\n\t\t\tdefault:{\r\n\t\t\t\t\r\n\t\t\t}\t\r\n\t\t}\r\n\t}", "@Override\n public void onClick(View v) {\n PageType pageType = PageType.HOME_PAGE;\n CustomerCart customerCart = new CustomerCart();\n boolean wasIncentiveDisplayed = false;\n customerCart.setCartId(Config.CART_ID);\n String wizCartCouponCode = null;\n wizCartClientWrapper.sendTrackingPageView(pageType, customerCart,wasIncentiveDisplayed, wizCartCouponCode);\n }", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tClickRideControl();\n\t\t\t}", "public void clickOnReturnRadioButton()\n\t{\n\t\tif(departureRadioButton.isDisplayed())\n\t\t{\n\t\t\twaitForSeconds(5);\n\t\t\treturnFlightRadioButton.click();\n\t\t}\n\t\telse\n\t\t{\n\t\t\twaitForSeconds(10);\n\t\t\tUserdefinedFunctions.scrollusingCordinate();\n\t\t\twaitForSeconds(10);\n\t\t\treturnFlightRadioButton.click();\n\t\t}\n\n\t}", "@Override\n public void onClick(View view) {\n sendRequestAndPrintResponse();\n }", "public void Cart() {\r\n\t\tthis.cart.click();\r\n\t}", "public void cashondelivery_submit(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- shopping cart link should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\twaitforElementVisible(locator_split(\"cashondelivery\"));\r\n\t\t\tclick(locator_split(\"cashondelivery\"));\r\n\t\t\twaitForPageToLoad(100);\r\n\t\t\twaitforElementVisible(locator_split(\"submitorder\"));\r\n\t\t\tclick(locator_split(\"submitorder\"));\r\n\t\t\twaitForPageToLoad(20);\r\n\t\t\tSystem.out.println(\"shopping cart link is clicked.\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- shopping cart link is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- shopping cart link is not clicked \");\r\n\t\t\tthrow new NoSuchElementException(\"The element with\"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"submitorder\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "public void clickOnSaveChangesButton() {\r\n\t\tprint(\"Click on Save Changes Button\");\r\n\t\tlocator = Locator.MyTrader.Save_Changes_Button.value;\r\n\t\tclickOn(locator);\r\n\t}", "public void ClickChecoutInsertBillingInfobutton(){\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Checkout InsertBillingInfo submit button should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\tclick(locator_split(\"btncheckoutInsertBillingInfo\"));\r\n\t\t\tSystem.out.println(\"Checkout InsertBillingInfo submit button is clicked\");\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Checkout InsertBillingInfo submit button is clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- Checkout InsertBillingInfo submit button is not clicked\");\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btncheckoutInsertBillingInfo\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\t\t}\r\n\r\n\t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tnew sell().execute(CartActivity.sendObject.toString());\n\t\t\t}", "public void sameShipAddress() {\n\t\t\n\t\tclick(sameShippingAddressCheckBox);\n\t}", "public void onSmoothieClick(View view) {\n showDialogOrder(1);\n }", "public void clickOnSendNotification() {\r\n\r\n\t\treportStep(\"About to click on Send Notification button \", \"INFO\");\r\n\r\n\t\tif(clickAfterWait(sendNotificationButton)) {\r\n\r\n\t\t\treportStep(\"Successfully clicked on the Send notification Button \", \"PASS\");\r\n\r\n\t\t}else {\r\n\r\n\t\t\treportStep(\"Failed to click onn the Send Notificationn Buttonn \", \"FAIL\");\r\n\t\t}\r\n\t}", "@Override\n\t\t\tpublic void onClick(View v) {\n\t\t\t\tClickAutoGrease();\n\t\t\t}", "public final void click() {\n getUnderlyingElement().click();\n }", "@Override\n\tpublic void onClick(View v) {\n\t\tswitch (v.getId()) {\n\t\tcase R.id.iv_address_to_home:\n\t\t\tIntent intent1 = new Intent();\n\t\t\tintent1.setClass(this, MainActivity.class);\n\t\t\tstartActivity(intent1);\n\t\t\tbreak;\n\t\tcase R.id.iv_address_return_mymarket:\n\t\t\tthis.finish();\n\t\t\tbreak;\n\t\tdefault:\n\t\t\tbreak;\n\t\t}\n\t}", "private void clickContactLookup() {\n contactLookupIcon.click();\n }", "public void clickAddTopping(int itemIndex, ItemCart item);", "@Override\n\t\t\tpublic void onClick(View arg0) {\n\t\t\t\tif (isTest) {\n\t\t\t\t} else {\n\t\t\t\t\tif (isSwitch) {// 电梯\n\t\t\t\t\t\tAppManager.getAppManager().finishActivity(\n\t\t\t\t\t\t\t\tNearbyElevatorPlaygroundListActivity.class);\n\t\t\t\t\t}\n\t\t\t\t}\n\t\t\t\tAppManager.getAppManager().finishActivity(\n\t\t\t\t\t\tNearbyElevatorOrPlaygroundMap.class);\n\t\t\t}", "@Then(\"user clicks submit button\")\n\tpublic void user_clicks_submit_button(){\n\t\t driver.findElement(By.name(\"sub\")).click();\n\t\t driver.findElement(By.xpath(\"//a[@href='addcustomerpage.php']\")).click();\n\t}" ]	[ "0.7487672", "0.7358863", "0.67031246", "0.6684951", "0.6636392", "0.66202605", "0.6603805", "0.65076756", "0.649571", "0.64781386", "0.64745694", "0.64521813", "0.64329964", "0.6403243", "0.63689446", "0.633936", "0.63236165", "0.63162524", "0.625773", "0.6250849", "0.62402266", "0.62273824", "0.6208199", "0.6150023", "0.61303604", "0.6116978", "0.6115737", "0.6093054", "0.60889673", "0.6081439", "0.60782284", "0.6053949", "0.60414636", "0.60314745", "0.60257065", "0.6012535", "0.59979695", "0.5997275", "0.5974033", "0.5966808", "0.5961978", "0.59571433", "0.5935486", "0.59173226", "0.5915305", "0.5913524", "0.59132695", "0.591027", "0.59097886", "0.59095913", "0.5905036", "0.5899639", "0.58918643", "0.5888522", "0.5883205", "0.5882726", "0.5881833", "0.58735734", "0.58700734", "0.58685124", "0.58598936", "0.5859723", "0.5857239", "0.5856073", "0.58545595", "0.5852333", "0.58521414", "0.5848504", "0.5845015", "0.58423364", "0.5840454", "0.582866", "0.5827968", "0.582639", "0.58226985", "0.581073", "0.580995", "0.5807245", "0.579905", "0.579791", "0.5797483", "0.5780422", "0.5778415", "0.5778127", "0.5776926", "0.5773233", "0.57681066", "0.57650316", "0.5764364", "0.5754629", "0.5753077", "0.57529384", "0.5752702", "0.5752386", "0.5751431", "0.5750677", "0.5750397", "0.575014", "0.5746238", "0.5745281" ]	0.739336	1
Get the Shipping & Return Description	public synchronized WebElement shippingReturnDescription() throws Exception { return utils.findElementByLocator(driver, "PDP_ShippingReturnDescription", "\| Shipping & Return Description not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public String getDescription()\r\n\t{\r\n\t\tStringBuilder msgreturn = new StringBuilder().append(m_name).append(\" \").append(m_taxBaseAmt.toString());\r\n\t\treturn msgreturn.toString();\r\n\t}", "@Override\n public String getDescription() {\n return \"Digital goods delivery\";\n }", "public String getDescription(){\r\n \tString retVal = this.description;\r\n return retVal;\r\n }", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getDescription();", "java.lang.String getProductDescription();", "@Override\r\n\tpublic String getDesc() {\n\t\treturn pizza.getDesc()+\" , RomaTomatoes(12.88)\";\r\n\t}", "java.lang.String getDesc();", "java.lang.String getDetails();", "@Override\n\tpublic String toString() {\n\t\treturn description + \", \" + billAmount + \", \" + tipAmount + \", \" + totalAmount;\n\t}", "String getDisplay_description();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "String getDescription();", "java.lang.String getBuyDescribe();", "public String getDetails() {\r\n\t\treturn \"Loan Id: \" + loanId + \"\\n\\rStock Id: \" + stockId + \" \\n\\rDate of loan: \" + loanDate + \"\\n\\r Has the loan been returned?: \" + isReturned + \" \\n\\rFine owed: \" + loanFine.getFine();\r\n\t}", "String getDesc();", "public String toString() {\r\n\t\tString retVal = \"Description: \" + getDescription()+ \" Cost: \" + getCost() + \" Calories: \" + getCalories() ;\r\n\t\treturn retVal;\r\n\t}", "public String getShipmentDescriptionCode() {\n return shipmentDescriptionCode;\n }", "@Schema(example = \"Refunded 10.00 for broken product.\", description = \"Description of the refund.\")\n public String getDescription() {\n return description;\n }", "public String getDetailString()\n {\n short type = this.getType();\n StringBuffer buffer = new StringBuffer(PriceAdjustmentTypes.toString(type));\n switch(type)\n {\n case PriceAdjustmentTypes.SPLIT:\n buffer.append(\": \");\n buffer.append(this.getSplitNumerator()).append(\" for \").append(this.getSplitDenominator());\n break;\n // SYMBOL_CHANGE and MERGER only change the product symbol\n case PriceAdjustmentTypes.SYMBOL_CHANGE:\n case PriceAdjustmentTypes.MERGER:\n buffer.append(\": \");\n String symbol = getNewProductSymbol();\n if (symbol!=null && symbol.length() > 0)\n {\n buffer.append(\"New Symbol: \").append(symbol);\n }\n else\n {\n buffer.append(\"No Symbol Change.\");\n }\n break;\n case PriceAdjustmentTypes.DIVIDEND_CASH:\n buffer.append(\": \");\n buffer.append('$').append(this.getCashDividend().toString());\n break;\n case PriceAdjustmentTypes.DIVIDEND_STOCK:\n buffer.append(\": \");\n buffer.append(this.getStockDividend().toString()).append(\" shares.\");\n break;\n case PriceAdjustmentTypes.DIVIDEND_PERCENT:\n buffer.append(\": \");\n buffer.append(this.getStockDividend().toString()).append('%');\n break;\n case PriceAdjustmentTypes.COMMON_DISTRIBUTION:\n break;\n case PriceAdjustmentTypes.LEAP_ROLLOVER:\n break;\n default:\n break;\n }\n return buffer.toString();\n }", "public String getExtendDPDiscountDescription() {\n\t\tString desc = \"NONE\";\n\t\t//Show any redeemed extend DP promo if any.\n\t\tSet<String> usedCodes = this.sale.getUsedPromotionCodes();\n\t\tif ( usedCodes != null) {\n\t\t\tfor(Iterator<String> it = usedCodes.iterator(); it.hasNext();) {\n\t\t\t\tPromotionI promo = PromotionFactory.getInstance().getPromotion(it.next());\n\t\t\t\tif (promo != null && promo.isExtendDeliveryPass())\n\t\t\t\t\tdesc = promo.getDescription();\n\t\t\t}\n\t\t}\n\t\t\n\t\treturn desc;\n\t}", "public String getPaymentDesc() {\n return (String) getAttributeInternal(PAYMENTDESC);\n }", "public String getDescription() {\n return (desc);\n }", "String getPaymentInformation();", "public String getShippingtermsindescription() {\r\n return shippingtermsindescription;\r\n }", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "public String getDescription();", "String description();", "String description();", "String description();", "String description();", "String description();", "String description();", "String description();", "String description();" ]	[ "0.7025316", "0.6792416", "0.6715734", "0.6679801", "0.6679801", "0.6679801", "0.6679801", "0.6679801", "0.6679801", "0.6679801", "0.6679801", "0.6679801", "0.6670005", "0.66330993", "0.65688014", "0.6568411", "0.6553568", "0.65393656", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65299916", "0.65170246", "0.649709", "0.6491119", "0.6473409", "0.6453657", "0.6434007", "0.6432851", "0.6413508", "0.6358336", "0.6353032", "0.6324814", "0.63223606", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63196164", "0.63080674", "0.63080674", "0.63080674", "0.63080674", "0.63080674", "0.63080674", "0.63080674", "0.63080674" ]	0.7390072	0
Get the Partial Markdown price	public synchronized WebElement productPrice() throws Exception { return utils.findElementByLocator(driver, "PDP_priceRange", "\| Mark down price not present"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public String getPriceOfArticle(Document document) {\n\t\tString price = \"\";\n\t\t// <p class=\"price\" itemprop=\"offers\" itemscope \n\t\t// \titemtype=\"http://schema.org/Offer\"><span data-currency=\"EUR\" itemprop=\"price\">€1,698</span></p>\n\t\t// Peut etre sélectionner la div \"details\" avant de chercher les p ? \n\t\tElements priceElements = document.getElementsByClass(\"price\");\n\t\tfor (Element priceElement : priceElements) {\n\t\t\t// Get the name if the item\n\t\t\t// <p class=\"style protect\" itemprop=\"model\">White</p>\n\t\t\tif (priceElement.attr(\"itemprop\").equals(\"price\")) {\n\t\t\t\t// get the inner text of the html tag if we are on the item name \n\t\t\t\treturn price = priceElement.text(); \n\t\t\t}\n\t\t}\n\t\treturn price;\n\t}", "private static String getPriceFromHtml(String html)\n\t{\n\t\tString price = \"\";\n\t\tPattern p = Pattern.compile(SUPERVALU_PRICE_REGEX);\n\t\tMatcher m = p.matcher(html);\n\t\tboolean b = m.matches();\n\t\tif (b)\n\t\t{\n\t\t\tprice = m.group(1);\n\t\t}\n\t\treturn price;\n\t}", "String getPrice();", "private String getShippingPrice(Document item) {\n String result;\n result = item.select(\"span[class^=shippingPrice]\").html();\n return result;\n }", "public String getPriceText(){\n\t\treturn getPriceElement().getText();\n\t}", "double getPrice();", "double getPrice();", "double getPrice();", "public void getDiscount(){\n System.out.println(\"10% off, final price: \" + price * 0.9);\n }", "public String getBSCA_PrintPrice2();", "private static String getPriceFromScanner(Scanner scanner)\n\t{\n\t\tString price = NO_PRICE_FOUND;\n\t\twhile (scanner.hasNextLine())\n\t\t{\n\t\t\tfinal String fromHtml = scanner.nextLine();\n\t\t\tif (fromHtml.contains(\"price\"))\n\t\t\t{\n\t\t\t\tprice = getPriceFromHtml(fromHtml);\n\t\t\t\tbreak;\n\t\t\t}\n\t\t}\n\t\treturn price;\n\t}", "public String unitPriceOfHardCopyPdf()\n \t{\n \t\tString unitPriceOfHardCopyPdf = productRequirementsPageLocators.hardCopyUnitPrice.getText();\n \t\tSystem.out.println(\"unit price of pdf englihs is: \"+unitPriceOfHardCopyPdf);\n\t\treturn unitPriceOfHardCopyPdf;\n\n \t}", "public void getPrice(){\n System.out.println(\"Price: $\" + price); \n }", "public double price() {\n return price;\n }", "BigDecimal getPrice();", "public BigDecimal getPriceActual();", "private static Double grabPriceText(String s_input, String s_label) {\n Pattern dollabillsyall = Pattern.compile(\"[0-9]{1,4}[.][0-9]{0,4}\");\n Matcher matcher = dollabillsyall.matcher(s_input);\n\n if (matcher.find())\n System.out.println(\"=== \" + s_label + \": \" + matcher.group(0));\n else\n System.out.println(\"=== \" + s_label + \": \" + \"no match\");\n\n return Double.parseDouble(matcher.group(0));\n }", "long getPrice();", "public double getPrice();", "public double getPrice()\r\n\t{\r\n\t\tif(isSpecial())\r\n\t\t{\r\n\t\t\treturn price * .5;\r\n\t\t}\r\n\t\treturn price;\r\n\t}", "public String getPrice() {\n return price;\n }", "public String getPrice() {\n return price;\n }", "public void getPrice() {\n\t System.out.println(\"Price: $\" + price);\n }", "public BigDecimal\tgetPrice();", "private static String getPrice(WebElement s) {\n\n\t\treturn s.findElement(By.xpath(\"following-sibling::td[1]\")).getText();\n\n\t}", "public Double getPrice();", "public String getPriceAndDiscount() {\n return _context.getResources().getString(_context.getResources().getIdentifier(\"price_and_discount\", \"string\", _context.getPackageName()), getDiscount(), getOriginalPrice(), getSalePrice());\n\n }", "String getPrice() {\n return Double.toString(price);\n }", "org.adscale.format.opertb.AmountMessage.Amount getCampaignprice();", "@Override\n\tpublic float getPrice() {\n\t\treturn 70.0f;\n\t}", "public java.lang.String getPrice() {\n return price;\n }", "@Override\n\tpublic double getPrice() {\n\t\t\n\t\treturn 2000;\n\t}", "org.adscale.format.opertb.AmountMessage.Amount getExchangeprice();", "@Override\r\n\tpublic double getPrice() {\n\t\treturn price;\r\n\t}", "public String getProductPaperBackPrice() {\n\t\tString paperBackWholePrice = driver\n\t\t\t\t.findElements(By.cssSelector(getLocator(search_result_page_prod_paper_price_whole))).get(0).getText();\n\t\tString paperBackCurrency = driver\n\t\t\t\t.findElements(By.cssSelector(getLocator(search_result_page_prod_paper_price_currency))).get(0)\n\t\t\t\t.getText();\n\t\tString paperBackFracPrice = driver\n\t\t\t\t.findElements(By.cssSelector(getLocator(search_result_page_prod_paper_price_fractional))).get(0)\n\t\t\t\t.getText();\n\t\tString paperBackPrice = paperBackCurrency + paperBackWholePrice + \".\" + paperBackFracPrice;\n\t\treturn paperBackPrice;\n\t}", "private static String getPrice(WebElement p) {\r\n\t\tString price = p.findElement(By.xpath(\"following-sibling::td\")).getText();\r\n\t\treturn price;\r\n\t}", "public String getProductKindlePrice() {\n\t\tString kindleWholePrice = driver\n\t\t\t\t.findElements(By.cssSelector(getLocator(search_result_page_prod_paper_price_whole))).get(1).getText();\n\t\tString kindleCurrency = driver\n\t\t\t\t.findElements(By.cssSelector(getLocator(search_result_page_prod_paper_price_currency))).get(1)\n\t\t\t\t.getText();\n\t\tString kindleFracPrice = driver\n\t\t\t\t.findElements(By.cssSelector(getLocator(search_result_page_prod_paper_price_fractional))).get(1)\n\t\t\t\t.getText();\n\t\tString kindlePrice = kindleCurrency + kindleWholePrice + \".\" + kindleFracPrice;\n\t\treturn kindlePrice;\n\n\t}", "public String getPriceString() {\n\t\treturn Utils.formatCurrencyNumber(price);//Double.toString(price.doubleValue()); //price.toString();\n\t}", "public BigDecimal getPrice() {\r\n return price;\r\n }", "public BigDecimal getPrice() {\r\n return price;\r\n }", "public double getPrice() {\n return price_;\n }", "CleanPrice getCleanPrice();", "public double getPrice() {\n return price;\n }", "public double getDiscountedPrice(double itemPrice);", "public String unitPriceOfPdfEnglishDrm()\n \t{\n \t\tString unitPriceOfPdfEnglish = productRequirementsPageLocators.pdfEnglishUnitPrice.getText();\n \t\tSystem.out.println(\"unit price of pdf englihs is: \"+unitPriceOfPdfEnglish);\n\t\treturn unitPriceOfPdfEnglish;\n\n \t}", "protected float getPrice() {\n\t\t\treturn price;\n\t\t}", "@Override\n public float getPriceCard() {\n return database.getPriceCard();\n }", "public double getPrice()\n {\n \treturn price;\n }", "public BigDecimal getPrice() {\n return price;\n }", "public BigDecimal getPrice() {\n return price;\n }", "public BigDecimal getPrice() {\n return price;\n }", "public BigDecimal getPrice() {\n return price;\n }", "public BigDecimal getPrice() {\n return price;\n }", "TickerPrice getPrice(String symbol);", "@Override\n\tpublic String showPrice() {\n\t\treturn \"煎饼的价格是5元 \";\n\t}", "public double getPrice() {\r\n return price;\r\n }", "public double getPrice() {\r\n return price;\r\n }", "public double getPrice() {\r\n return price;\r\n }", "public double getPrice() {\r\n return price;\r\n }", "public BigDecimal getPrice()\n\t{\n\t\treturn price;\n\t}", "public double getPrice() \n\t{\n\t\treturn price;\n\t}", "public double getPrice() \n\t{\n\t\treturn price;\n\t}", "public double getPrice(){\r\n\t\treturn price;\r\n\t}", "public double getItemPrice(){\n\t\t\t String priceStr;\n\t\t\t double price;\n\t\t\t String elemVal = driver.findElement(productPrice).getText();\n\t Reporter.log(\"==========Item Price is \" + elemVal + \"=======\", true);\n\t priceStr = elemVal.substring(1, elemVal.length());\n\t //return double as it is a price\n\t price = Double.parseDouble(priceStr);\n\t return price;\n\t }", "abstract public double getPrice();", "public float getPrice() {\n return price;\n }", "public float getPrice() {\n return price;\n }", "public float getPrice() {\n return price;\n }", "public double getPrice(){\n\t\treturn price;\n\t}", "public Double getPrice() {\r\n return price;\r\n }", "public double getPrice()\r\n {\r\n return price;\r\n }", "public double getPrice() {\n return price_;\n }", "private String getBillPrice() {\n double cost = 0.00;\n\n for (MenuItem item : bill.getItems()) {\n cost += (item.getPrice() * item.getQuantity());\n cost += item.getExtraIngredientPrice();\n cost -= item.getRemovedIngredientsPrice();\n }\n\n return String.format(\"%.2f\", cost);\n }", "public double getPrice(){\n\t\t\treturn price;\n\t\t}", "@Override\n public double getPrice() {\n return 2.5;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice() {\n return price;\n }", "public double getPrice(){\n\t\t\n\t\treturn price;\n\t}", "public BigDecimal getPriceStd();", "@Override\n\tpublic double getPrice() {\n\t\treturn 4.0;\n\t}", "public double price(){\n if (basePrice() >1000){\n return basePrice() 0.95;\n }else\n return basePrice() 0.98;\n }", "public Float getPrice() {\r\n return price;\r\n }", "double computePrintingCost(double price){\n //TODO calculate price and return it\n return price * printer.countCharactersPrinted();\n }", "public double getpPrice() {\n return pPrice;\n }", "public Money getPrice() {\n\t\treturn price;\n\t}", "protected String getFormattedItemPrice() {\n return formattedItemPrice;\n }", "public java.math.BigDecimal getPrice() {\n return price;\n }", "public BigDecimal getpPrice() {\n return pPrice;\n }", "@Override\n\t\t\tpublic double getPrice() {\n\t\t\t\treturn 50.0;\n\t\t\t}", "public long getPrice() {\n return price;\n }", "public Double getPrice() {\n return price;\n }", "public Double getPrice() {\n return price;\n }" ]	[ "0.6885467", "0.6779616", "0.6694514", "0.6535567", "0.64793116", "0.6353727", "0.6353727", "0.6353727", "0.6317153", "0.6280468", "0.6252603", "0.6240774", "0.62386495", "0.6238468", "0.6229922", "0.62145424", "0.6176948", "0.61689126", "0.6149129", "0.6147433", "0.61226636", "0.61226636", "0.61192477", "0.6115573", "0.611498", "0.6108292", "0.60865295", "0.60727835", "0.60724354", "0.60711175", "0.6063952", "0.60563475", "0.60534865", "0.60398656", "0.60241014", "0.6015745", "0.5997029", "0.5994355", "0.5988648", "0.5988648", "0.5987775", "0.5984322", "0.5973145", "0.59722537", "0.59652406", "0.59646195", "0.59588003", "0.59576434", "0.5945798", "0.5945798", "0.5945798", "0.5945798", "0.5945798", "0.5945124", "0.5939718", "0.59380406", "0.59380406", "0.59380406", "0.59380406", "0.5935352", "0.59214383", "0.59214383", "0.5916154", "0.59142715", "0.59130543", "0.5909741", "0.5909741", "0.5909741", "0.59052396", "0.5903679", "0.590299", "0.5896694", "0.5892629", "0.58921653", "0.5891905", "0.5881652", "0.5881652", "0.5881652", "0.5881652", "0.5881652", "0.5881652", "0.5881652", "0.5881652", "0.5881652", "0.5881652", "0.5881652", "0.58805066", "0.5874316", "0.5865137", "0.58598006", "0.58544135", "0.585156", "0.585042", "0.5839955", "0.58313024", "0.58282965", "0.58196056", "0.58191144", "0.58177215", "0.5814651", "0.5814651" ]	0.0	-1
Method used for Add Item to Shopping Bag.	public synchronized void addToBagSpecificSizeAndColorMobile(WebDriver driver, int rowNo, int colNo, String sizetype, String color) throws Exception { try { if (rowNo == 0 && colNo == 0) ReporterLog.actionMsg("PDP page already opened"); else openPDP(driver, rowNo, colNo); Reporter.log(Constants.DELIMITER + "***********Product Description Page: Add Item to Shopping Bag**********"); Thread.sleep(500); // Clicking on the Size Types on the Product Description Page try { if (!sizetype.isEmpty()) { selectParticularSizeTypeMobile(sizetype); } } catch (Exception e) { ReporterLog.fail("Size type not there is the product"); } catch (AssertionError e) { ReporterLog.fail("Size type not there is the product"); } Thread.sleep(3000); Reporter.log(Constants.DELIMITER + "\| PDP Page: Click action is performed on Size Types"); if (color.isEmpty()) { selectColor(); } else { // Clicking on the Color Swatch on the Product Description Page List<WebElement> colors = list_ColorSwatch(); if (XLUtils.env.equalsIgnoreCase("breakfix") \|\| XLUtils.env.equalsIgnoreCase("dryrun")) { for (WebElement el : colors) { el.click(); Utils.waitForPageLoaded(driver); if (utils.findElementByLocator(driver, "PDP_ColorSwatchName", "").getText().toUpperCase() .contains(color.toUpperCase())) { break; } } } else { for (WebElement el : colors) { if (el.getAttribute("title").contains(color)) { el.click(); Thread.sleep(2000); break; } } } } Reporter.log(Constants.DELIMITER + "\| PDP Page: Click action is performed on Color Swatch"); // Clicking on the Size Swatch on the Product Description Page selectSizeMobile(); Reporter.log(Constants.DELIMITER + "\| PDP Page: Click action is performed on Size Swatch"); // Clicking on the Add To Bag Button on the Product Description Page utils.scrollToViewElement(driver, pdp_btn_AddToBag()); pdp_btn_AddToBag().click(); Reporter.log(Constants.DELIMITER + "\| Login Page: Click action is perfromed on Add To Bag button"); // Thread.sleep(2000); if (Utils.device.equals("desktop")) { Assert.assertTrue(utils.isElementPresent(driver, "PDPAddToBagNotification", "Add To Bag Notifications"), "'ITEM ADDED TO BAG' Not displayed"); ReporterLog.actionMsg("Item Successfully Added to Bag"); } } catch (Exception e) { CustomException.throwExceptionError(e, "PDP", "Add To Bag action failed", driver); } catch (AssertionError e) { CustomException.throwAssertionError(e, "PDP", "Add To Bag action failed", driver); } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void add() {\n\t\tcart.add(item.createCopy());\n\t}", "void add(Item item);", "private void add(GroceryItem itemObj, String itemName) {\n\t\tbag.add(itemObj);\n\t\tSystem.out.println(itemName + \" added to the bag.\");\n\t}", "public abstract void addItem(AbstractItemAPI item);", "public void addItem(SoldItem item) {\n\n items.add(item);\n log.debug(\"Added \" + item.getName() + \" quantity of \" + item.getQuantity());\n\n }", "void addItem (Item toAdd){\n\t\t\tthis.items.add(toAdd);}", "@Override\n\t@RequestMapping(value=ZuelControllerValue.Manage+\"addItem\")\n\tpublic ZuelResult addItem(TbItem item) {\n\t\treturn service.addItem(item);\n\t}", "public void addProduct(Product item){\n inventory.add(item);\n }", "CatalogItem addCatalogItem(CatalogItem catalogItem);", "public void addItem(Item theItem) {\n\t\tif (inventory != null) {\n\t\t\tif (!isAuctionAtMaxCapacity()) {\n\t\t\t\t// Check item doesn't already exist as key in map\n\t\t\t\tif (inventory.containsKey(theItem)) {\n\t\t\t\t\t//ERROR CODE: ITEM ALREADY EXISTS\n\t\t\t\t\tSystem.out.println(\"That item already exists in the inventory.\");\n\t\t\t\t} else\n\t\t\t\t\tinventory.put(theItem, new ArrayList<Bid>());\n\t\t\t} else if (isAuctionAtMaxCapacity()) {\n\t\t\t\t//ERROR CODE: AUCTION AT MAX CAPACITY\n\t\t\t\tSystem.out.println(\"\\nYour auction is at maximum capacity\");\n\t\t\t} \n\t\t} else {\n\t\t\tinventory = new HashMap<Item, ArrayList<Bid>>();\n\t\t\tinventory.put(theItem, new ArrayList<Bid>());\t\t\t\t\n\t\t} \t\t\t\t\t\t\n\t}", "public int addItem(Item i);", "public void add(Item item) {\r\n\t\tcatalog.add(item);\r\n\t}", "@Override\r\n\tpublic void addItem(AbstractItemAPI item) {\n\t\titems.add(item);\r\n\t\t\r\n\t}", "public void addProduct(Product item)\n {\n stock.add(item);\n }", "public void addItem() {\n\t\tScanner scanner = new Scanner(System.in);\n\t\tSystem.out.print(\"Enter Item Name: \");\n\t\tString itemName = scanner.nextLine();\n\t\tSystem.out.print(\"Enter Item Description: \");\n\t\tString itemDescription = scanner.nextLine();\n\t\tSystem.out.print(\"Enter minimum bid price for item: $\");\n\t\tdouble basePrice = scanner.nextDouble();\n\t\tLocalDate createDate = LocalDate.now();\n\t\tItem item = new Item(itemName, itemDescription, basePrice, createDate);\n\t\taddItem(item);\n\t}", "public void store(Item item) {\n this.items.add(item);\n }", "public void addItem(Item item) {\n items.add(item);\n }", "public void addItem(Item item) {\n items.add(item);\n }", "public void addItem(Item item){\r\n items.add(item);\r\n total = items.getTotal();\r\n }", "public void addItem(Carryable g) {\r\n if (numItems < MAX_CART_ITEMS)\r\n cart[numItems++] = g;\r\n }", "public void addItem( Item anItem) {\n currentItems.add(anItem);\n }", "public void addItem(Item item) {\n _items.add(item);\n }", "public void addCostItem(CostItem item) throws CostManagerException;", "void addGroceryItem(String item) {\n\n\t}", "public void addItem(Item toAdd) {\n\t\tthis.items.add(toAdd);\n\t}", "void addCpItem(ICpItem item);", "public static void addItem(BackpackItem itemName) {\n\t\t\t\n\t\t\tfor (int i = 0; i <= backpackArr.length-1; i++) { //iterate through backpackArr\n\t\t\t\t\n\t\t\t\tif (backpackArr[i] == null) { // If there is no item in slot\n\t\t\t\t\tSystem.out.println(\"You added the \" + itemName + \" to your backpack.\");\n\t\t\t\t\tbackpackArr[i] = itemName; // puts new item into next empty BackpackItem index in backpackArr\n\t\t\t\t\tbreak; // breaks out of for loop (to prevent filling up all slots with the same item\n\t\t\t\t}\n\t\t\t}\n\t\t}", "@attribute(value = \"\", required = false)\r\n\tpublic void addItem(Item i) {\r\n\t}", "public boolean add(Type item);", "public void addItem(Product p, int qty){\n //store info as an InventoryItem and add to items array\n this.items.add(new InventoryItem(p, qty));\n }", "@Override\n public void addItem(P_CK t) {\n \n }", "public void addItem(Item i) {\n this.items.add(i);\n }", "public void addItem(Item item) {\r\n\t\titems.add(item);\r\n\t}", "public boolean addPlayerItem(PlayerItem playerItem);", "public void additem(String item){\n\t\trep.takeitem(\"take \" + item);\n\t}", "public void addItem() {\r\n\t\tFacesContext fc = FacesContext.getCurrentInstance();\r\n\t\tif (itemInvoice.getQuantidade() <= itemPO.getQuantidadeSaldo()) {\r\n\t\t\tBigDecimal total = itemInvoice.getPrecoUnit().multiply(\r\n\t\t\t\t\tnew BigDecimal(itemInvoice.getQuantidade()));\r\n\t\t\titemInvoice.setTotal(total);\r\n\t\t\tif (!editarItem) {\r\n\r\n\t\t\t\tif (itemInvoice.getPrecoUnit() == null) {\r\n\t\t\t\t\titemInvoice.setPrecoUnit(new BigDecimal(0.0));\r\n\t\t\t\t}\r\n\t\t\t\tif (itemInvoice.getQuantidade() == null) {\r\n\t\t\t\t\titemInvoice.setQuantidade(0);\r\n\t\t\t\t}\r\n\t\t\t\titemInvoice.setInvoice(invoice);\r\n\r\n\t\t\t\tinvoice.getItensInvoice().add(itemInvoice);\r\n\r\n\t\t\t} else {\r\n\t\t\t\tinvoice.getItensInvoice().set(\r\n\t\t\t\t\t\tinvoice.getItensInvoice().indexOf(itemInvoice),\r\n\t\t\t\t\t\titemInvoice);\r\n\t\t\t}\r\n\t\t\tcarregarTotais();\r\n\t\t\tinicializarItemInvoice();\r\n\t\t\trequired = false;\r\n\t\t} else {\r\n\r\n\t\t\tMessages.adicionaMensagemDeInfo(TemplateMessageHelper.getMessage(\r\n\t\t\t\t\tMensagensSistema.INVOICE, \"lblQtdMaioSaldo\", fc\r\n\t\t\t\t\t\t\t.getViewRoot().getLocale()));\r\n\t\t}\r\n\t}", "public void addItem(Item item) {\n\t\titems.add(item);\n\t}", "public Item add(Item item) {\n Item existing = getItem(item.getItemId());\n if (existing != null) {\n return existing.incrementQuantity(item.getQuantity());\n }\n else {\n items.add(item.setCart(this));\n return item;\n }\n }", "public void addItem(final Item item) {\n\t\tnumberOfItems++;\n\t}", "public void addItem(Item item) {\n\t\thashOperations.put(KEY, item.getId(), item);\n\t\t//valueOperations.set(KEY + item.getId(), item);\n\t}", "public Item addItem(Item item) {\r\n uniqueCounter++;\r\n items.add(item);\r\n return item;\r\n }", "void addFruit(Fruit item){\n\t\tfruitList.add(item);\n\t}", "public void addItem(Object obj) {\n items.add(obj);\n }", "Item addItem(IDAOSession session, String title, String description,\n\t\t\tint userId);", "public void addItem(String i) {\n\t\tItem item = Item.getItem(ItemList, i);\n\t Inventory.add(item);\n\t inventoryList.getItems().add(i);\n\n\t}", "@Override\n public Optional<FridgeItemEntity> addItem(String fridgeId, String itemId, String itemType) {\n return Optional.empty();\n }", "@RequestMapping(method=RequestMethod.POST, value = \"/item/{id}\", produces = \"application/json\")\n public void addItem(@RequestBody Item itemToAdd)\n {\n this.itemRepository.addItem(itemToAdd);\n }", "protected void addInventoryItemType() {\n\t\tProperties props = new Properties();\n\n\t\t/* DEBUG\n\t\t\n\t\tSystem.out.println(typeNameTF.getText());\n\t\tSystem.out.println(unitsTF.getText());\n\t\tSystem.out.println(unitMeasureTF.getText());\n\t\tSystem.out.println(validityDaysTF.getText());\n\t\tSystem.out.println(reorderPointTF.getText());\n\t\tSystem.out.println(notesTF.getText());\n\t\tSystem.out.println(statusCB.getValue());\n\t\n\t\t/ \n\n\t\t// Set the values.\n\t\tprops.setProperty(\"ItemTypeName\", typeNameTF.getText());\n\t\tprops.setProperty(\"Units\", unitsTF.getText());\n\t\tprops.setProperty(\"UnitMeasure\", unitMeasureTF.getText());\n\t\tprops.setProperty(\"ValidityDays\", validityDaysTF.getText());\n\t\tprops.setProperty(\"ReorderPoint\", reorderPointTF.getText());\n\t\tprops.setProperty(\"Notes\", notesTF.getText());\n\t\tprops.setProperty(\"Status\", (String) statusCB.getValue());\n\n\t\t// Create the inventory item type.\n\t\tInventoryItemType iit = new InventoryItemType(props);\n\n\t\t// Save it into the database.\n\t\tiit.update();\n\n\t\tpopulateFields();\n\t\t\n\t\t// Display message on GUI.\n\t\t//submitBTN.setVisible(false);\n\t\tcancelBTN.setText(\"Back\");\n\t\tmessageLBL.setText(\"Inventory Item Type added.\");\n\t}", "public String addItem(Item item){\n EntityManager em = emf.createEntityManager();\n try{\n utx.begin();\n em.joinTransaction();\n for(Tag tag : item.getTags()) {\n tag.incrementRefCount();\n tag.getItems().add(item);\n em.merge(tag);\n }\n em.persist(item);\n utx.commit();\n // index item\n if(bDebug) System.out.println(\"\\n**Item id of new item is : \" + item.getItemID());\n indexItem(new IndexDocument(item));\n \n } catch(Exception exe){\n try {\n utx.rollback();\n } catch (Exception e) {}\n throw new RuntimeException(\"Error persisting item\", exe);\n } finally {\n em.close();\n }\n return item.getItemID();\n }", "public void addItemInventory(Item item){\r\n playerItem.add(item);\r\n System.out.println(item.getDescription() + \" was taken \");\r\n }", "public void addItem(Item e) {\n\t\tItem o = new Item(e);\n\t\titems.add(o);\n\t}", "public void addItem(Item itemToAdd){\n\t\tif(!isFull()){\n\t\t\tint index = findFreeSlot();\n\t\t\tinventoryItems[index] = itemToAdd;\n\t\t}\n\t\telse{\n\t\t\tSystem.out.println(\"Inventory full.\");\n\t\t}\n\t\t\n\t}", "public void addToSale(ItemDTO item, int quantity){\n this.saleInfo.addItem(item, quantity);\n }", "public void addItem(Item item) {\n\t\tObjects.requireNonNull(item);\n\t\titems.add(item);\n\t}", "public void addItemToCart(Item item) {\n itemList.add(item);\n this.totalTaxes = totalTaxes.add(item.getTaxes());\n this.totalPrices = totalPrices.add(item.getTtcPrice());\n }", "public void addGroceryItem(String item){\n groceryList.add(item);\n }", "public void carry(Item item)\n {\n\n // Check if item to be added doesn't go over carry limit.\n if (!((getPerson(PLAYER).getWeight() + item.getWeight()) > getPerson(PLAYER).getCarryLimit())){\n getPerson(PLAYER).getInventory().getItems().add(item); \n\n removeRoomItem(item);\n System.out.println();\n System.out.println(item.getName() + \" has been added to your bag.\");\n System.out.println(\"You are carrying \" + getPerson(PLAYER).getWeight()+ \"kg.\");\n }\n else {\n System.out.println(\"Your bag is too heavy to add more items.\");\n }\n\n }", "public void addItem(Item item) {\n inventory.add(item);\n Thread updateUserThread = userController.new UpdateUserThread(LoginActivity.USERLOGIN);\n updateUserThread.start();\n synchronized (updateUserThread) {\n try {\n updateUserThread.wait();\n } catch (InterruptedException e) {\n e.printStackTrace();\n }\n }\n }", "public void Add(String item) {\n byte[] bites = Utils.hexToBytes(item);\n mpBuffer += Utils.bytesToHex(bites);\n mLenght += bites.length;\n mBackOffset = mLenght;\n }", "public void addBasketItem(BasketItem newItem) {\n \n // If the sku already exists in the basket then update the quantity\n for(BasketItem item : basketItems) {\n if(item.getVariant().getSku().equals(newItem.getVariant().getSku())) {\n item.setQuantity(newItem.getQuantity() + item.getQuantity());\n return;\n }\n }\n \n // If the sku wasn't found above then add it to the basket\n basketItems.add(newItem);\n }", "public synchronized void addItem(IJABXAdvertisementItem item) {\n\t\tidMap.put(item.getSerialNo(), item);\n\t\titemList.add(item);\n\t}", "public boolean addItem(Item item) throws RemoteException, ClassNotFoundException, SQLException {\n Connection conn = DBConnection.getConnection();\n PreparedStatement stm = conn.prepareStatement(\"Insert into Item values(?,?,?,?)\");\n Object[] itemData = {item.getCode(), item.getDescription(), item.getUnitPrice(), item.getQtyOnHand()};\n for (int i = 0; i < itemData.length; i++) {\n stm.setObject(i + 1, itemData[i]);\n }\n return stm.executeUpdate() > 0;\n }", "public void add(CartItem cartItem){\n\t\tString book_id = cartItem.getBook().getBook_id();\n\t\tint count = cartItem.getCount();\n\t\t// if book exist in cart , change count\n\t\tif(map.containsKey(book_id)){ \n\t\t\tmap.get(book_id).setCount( map.get(book_id).getCount() + count); \n\t\t\t\t\t\n\t\t}else{\n\t\t\t// book not exist in cart, put it to map\n\t\t\tmap.put(cartItem.getBook().getBook_id(), cartItem);\n\t\t}\n\t\t\n\t}", "void addItem(DataRecord record);", "public void addItem(Item item)\n\t{\n\t\tif(inventory.size()<=9)\n\t\t\tinventory.add(item);\n\t\telse\n\t\t\tSystem.out.println(\"Inventory is full.\");\n\t}", "public void adicionar(ItemProduto item) {\n\t\titens.add(item);\n\t}", "public void addItemToInventory(Item ... items){\n this.inventory.addItems(items);\n }", "public synchronized void pdp_AddToBag() throws Exception {\n\n\t\t// Code to remove focus from zoomed image on page load\n\t\tif (!Utils.isDeviceMobile()) {\n\t\t\tActions actions = new Actions(driver);\n\t\t\tactions.moveToElement(productPrice()).build().perform();\n\t\t}\n\n\t\tutils.scrollToViewElement(driver, pdp_btn_AddToBag());\n\n\t\t// Handling Pop-Up that sometimes over shadows the ADD TO BAG button in mobile\n\t\tif (Utils.isDeviceMobile())\n\t\t\thandleBounceXOnPDP();\n\n\t\tpdp_btn_AddToBag().click();\n\t\t// Thread.sleep(3000);\n\n\t\tif (!utils.brand.equals(\"LGFP\"))\n\t\t\tAssert.assertTrue(utils.isElementPresent(driver, \"PDP_continueShopping\"),\n\t\t\t\t\t\"Item Added To Bag modal not displayed in mobile\");\n\t}", "public boolean add (E item)\n {\n add(size, item); // calling public method add\n return true;\n }", "@Override\n public void addItem(ItemType item) {\n if (curArrayIndex > items.length - 1) {\n System.out.println(item.getDetails() + \" - This bin is full. Item cannot be added!\");\n }\n else if (item.getWeight() + curWeight <= maxWeight) {\n curWeight += item.getWeight();\n items[curArrayIndex++] = item;\n }\n else {\n System.out.println(item.getDetails() + \" - Overweighted. This item cannot be added!\");\n }\n if (item.isFragile()) {\n setLabel(\"Fragile - Handle with Care\");\n }\n\n }", "@Test \n\tpublic void testAddItemToBasket() throws Exception {\n\t\tBBBRequest request = BBBRequestFactory.getInstance().createAddBasketItemRequest(BOOK_BASKET_ITEM_ISBN);\n\t\t\n\t\tString expectedUrl = AccountHelper.constructUrl(BBBRequestFactory.getInstance().getHostBasket(), PATH_MY_BASKETS_ITEMS);\n\t\tassertEquals(expectedUrl, request.getUrl());\n\t\t\n\t\tBBBResponse response = BBBRequestManager.getInstance().executeRequestSynchronously(request);\n\t\t\n\t\tif(response.getResponseCode() != HttpURLConnection.HTTP_OK) {\n\t\t\tfail(\"Error: \"+response.toString());\n\t\t}\n\t}", "public void addToShoppingCart(BarcodedItem item, int quantity) {\n\t\t\n\t\tBarcodedProduct prod = ProductDatabases.BARCODED_PRODUCT_DATABASE.get(item.getBarcode());\n\t\ttry {\n\t\t\t\n\t\t\tSHOPPING_CART_ARRAY[i][0] = prod.getDescription();\n\t\t\tSHOPPING_CART_ARRAY[i][1] = Integer.toString(quantity);\n\t\t\tBARCODEDITEM_ARRAY[i] = item;\n\t\t\tBARCODE_ARRAY[i] = prod.getBarcode();\n\t\t\tupdateTotalPayment(item, quantity);\n\t\t\t\n\t\t\ttotalNumOfItems += quantity;\n\t\t\t\n\t\t} catch (NullPointerException e) {\n\t\t\tthrow new SimulationException(e);\n\t\t}\n\t\t\n\t\ti++;\n\n\t}", "InvoiceItem addInvoiceItem(InvoiceItem invoiceItem);", "void add(T item);", "public Boolean add(Item item) {\n \tif (itemCollection.containsKey(item.getItemName())) {\r\n \tif (checkAvailability(item, 1)) {\r\n \t\titem.setQuatity(item.getQuatity() + 1);\r\n \t\titemCollection.put(item.getItemName(), item);\r\n \t\treturn true;\r\n \t} else return false;\r\n } else {\r\n \titemCollection.put(item.getItemName(), item);\r\n \treturn true;\r\n }\r\n \t\r\n }", "public void add(E item);", "public void addItemQty(int itemQty) {\n this.itemQty += itemQty;\n }", "public boolean addNewItem(VendItem item) {\n if (itemCount < maxItems) {\n stock[itemCount] = item;\n itemCount++;\n return true;\n } else {\n return false;\n }\n }", "private void addToInventory(Item item) {\n inventory.put(item.getName(), item);\n }", "public void addItemTrackBagging(Item item, boolean bool) {\n\t\tthis.purchaseList.setItemTrackBagging(item, bool);\n\t}", "public void addItem(Product p) {\n\t\t_items.add(p);\n\t}", "@Test\n\tpublic void testAddItem() throws IOException{\n\t\tModel.addItem(item, amount + \"\");\n\t\tassertEquals(amount + \"\", Model.hash.get(item));\n\t\t\n\t}", "public void addProduct(Product product);", "public void addDeliveryItem(RepositoryItem pItem) {\n mDeliveryItems.add(pItem);\n }", "public abstract void add(T item) throws RepositoryException;", "public void addItemInventory(Item item){\n playerItem.add(item);\n System.out.println(item.getDescription() + \" was taken \");\n System.out.println(item.getDescription() + \" was removed from the room\"); // add extra information to inform user that the item has been taken\n }", "public void addItem(LibraryItem item){\r\n\t\t// use add method of list.class\r\n\t\tthis.inverntory.add(item);\r\n\t}", "public void add( Order item ) {\n\t\tsuper.internalAdd(item);\n\t}", "void createItem (String name, String description, double price);", "public void addItem(int itemCollection_id, Item item) {\n\t\t// Start of user code for method addItem\n\t\t// End of user code\n\t}", "public void createItemInInventory(Item newItem) {\n\t\tinventory.createItem(newItem);\n\t}", "public boolean addItem(int itemId) {\n\t\tint nextFreeSlot = getSlotForId(1);\n\t\tif (itemId <= 0)\n\t\t\treturn false;\n\t\tif (nextFreeSlot != -1 && burdenedItems[nextFreeSlot] == 0) {\n\t\t\tburdenedItems[nextFreeSlot] = itemId;\n\t\t\treturn true;\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t}", "void addProduct(Product product);", "public void addItem(Item item, int x, int y) {\n\t\tInventory items = getItemsAt(x, y);\n\t\titems.add(item);\n\t}", "Cart addToCart(String productCode, Long quantity, String userId);", "public boolean add(T item) {\n boolean addSuccessful = items.add(item);\n if (addSuccessful) {\n currentSize = -1.0;\n inCapacitySize = -1.0;\n }\n return addSuccessful;\n }", "void add(E item);", "void add(E item);", "void add(E item);", "public void push(Object item) {\r\n\t\tdata.add(item);\r\n\r\n\t}", "@Override\n public boolean add(E item) {\n if (item == null)\n throw new IllegalArgumentException(\"null invalid value for bag\");\n Counter count = map.get(item);\n if (count == null)\n map.put(item, new Counter(1));\n else\n count.increment();\n return true;\n }" ]	[ "0.77443147", "0.7476917", "0.741118", "0.7304897", "0.7301947", "0.7208653", "0.7145338", "0.711069", "0.70689595", "0.70415354", "0.70066804", "0.6994895", "0.6994001", "0.69925237", "0.68947107", "0.6868234", "0.6858448", "0.6858448", "0.6808602", "0.6777978", "0.67766774", "0.6771593", "0.67604685", "0.67602617", "0.67563266", "0.6751058", "0.67292494", "0.6702793", "0.6694245", "0.6680888", "0.66747963", "0.66729474", "0.66662496", "0.6662122", "0.6601787", "0.6592122", "0.6581612", "0.65757644", "0.6569161", "0.65595484", "0.65534157", "0.6546828", "0.65448356", "0.6544519", "0.6544093", "0.6540297", "0.65343934", "0.65337753", "0.6530128", "0.65255004", "0.65082103", "0.6506644", "0.650555", "0.6454956", "0.6450313", "0.6428462", "0.6428332", "0.64218205", "0.6421286", "0.64180315", "0.64129347", "0.639253", "0.63883317", "0.6377651", "0.6375535", "0.6361691", "0.63455397", "0.6338932", "0.6329493", "0.631877", "0.63136154", "0.6308527", "0.6294394", "0.6287997", "0.62835735", "0.627882", "0.6278675", "0.6277221", "0.627131", "0.6269815", "0.6269208", "0.6262854", "0.6262487", "0.62602186", "0.62559354", "0.6248413", "0.6247848", "0.6234111", "0.6228511", "0.6217847", "0.6214761", "0.6207068", "0.62019545", "0.62008566", "0.6195236", "0.61882794", "0.6182714", "0.6182714", "0.6182714", "0.6175155", "0.61736256" ]	0.0	-1
Get and Validate the color of webelement	public synchronized void validateElementColor(WebDriver driver, String object, String colorText, String customMessage) throws Exception { WebElement elem = utils.findElementByLocator(driver, object, "Product Name is not present"); String color = elem.getCssValue("color"); String hex = Color.fromString(color).asHex(); if (colorText.equalsIgnoreCase("black")) { Assert.assertTrue(hex.equalsIgnoreCase("#000000"), "Color text is not Black"); ReporterLog.pass("Color text is Black for " + customMessage); } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "Integer getTxtColor();", "public String getColor() { \n return color; \n }", "public String getColor(){\r\n return color;\r\n }", "java.awt.Color getColor();", "public Color getColor() { return color; }", "public Color getColor() { return color.get(); }", "public String getColor() {\r\n return color;\r\n }", "public String getColor()\n {\n return color;\n }", "public String getColor()\n {\n return color;\n }", "public int getColor(){\r\n\t\treturn color;\r\n\t}", "String getColor();", "public String getColor(){\n return this._color;\n }", "public int getColor() {\n return color;\n }", "public Color getColor() {\n return color;\r\n }", "public Color getColor()\n {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public String getColor() {\n return color;\n }", "public Color getColor()\n { \n return color;\n }", "public Color getColor(){\n return color;\n }", "Color getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "Color getColor();", "public String getColor(){\n return this.color;\n }", "public String getColor(){\n\t\treturn color;\n\t}", "public Color getColor() {\r\n return color;\r\n }", "public Color getColor() {\r\n return color;\r\n }", "public Color getColor() {\r\n return color;\r\n }", "public int getColor(){\n\t\treturn color;\n\t}", "public int getColor(){\n\t\treturn color;\n\t}", "public Color getColor()\n {\n return color;\n }", "public String getColor()\n {\n return this.color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "public Color getColor()\n {\n return color;\n }", "public String getColor() {\n return this.color;\n }", "public int getColor();", "public int getColor();", "String getColour();", "public int getColor() {\n \t\treturn color;\n \t}", "public String obtenColor() {\r\n return color;\r\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return color;\n }", "public Color getColor() {\n return this.color;\n }", "public int getColor() {\n return this.color;\n }", "public String getColor() {\r\n\t\treturn color;\r\n\t}", "public Color getColor() {\r\n return this.color;\r\n }", "public Color getColor() {\n\treturn color;\n }", "public Color getColor();", "public Color getColor();", "public Color getColor();", "public Color getColor() \n\t{\n\t\treturn color;\n\t}", "public Color getColor() {\n return this.color;\n }", "public void getColor() {\n\t\tPoint point = MouseInfo.getPointerInfo().getLocation();\n\t\trobot.mouseMove(point.x, point.y);\n\t\tColor color = robot.getPixelColor(point.x, point.y);\n//\t\tSystem.out.println(color);\n\t}", "public Color getColor() {\n \t\treturn color;\n \t}", "public Integer getColor() {\n\t\treturn color;\n\t}", "public IsColor getColor() {\n\t\treturn ColorBuilder.parse(getColorAsString());\n\t}", "public Color getColor() {\n return this.color;\n }", "public Color getColor() {\n return this.color;\n }", "public Color getColor() {\n return this.color;\n }", "public String getColor() {\n\t\treturn color;\n\t}", "public String getColor() {\n\t\treturn color;\n\t}", "@Then(\"^Pobranie koloru$\")\n public void Pobranie_koloru() throws Throwable {\n\n WebDriverWait wait = new WebDriverWait(driver, 15);\n WebElement c9 = wait.until(ExpectedConditions.elementToBeClickable(By.xpath(\"//*[@id=\\\"30373\\\"]/div/div/div/div/div/div/div/p[3]/a\")));\n\n String color = driver.findElement(By.xpath(\"/html/body/div[1]/div[3]/div/div[6]/div/div/div[1]/div/ul/li\")).getCssValue(\"color\");\n String[] hexValue = color.replace(\"rgba(\", \"\").replace(\")\", \"\").split(\",\");\n\n int hexValue1=Integer.parseInt(hexValue[0]);\n hexValue[1] = hexValue[1].trim();\n int hexValue2=Integer.parseInt(hexValue[1]);\n hexValue[2] = hexValue[2].trim();\n int hexValue3=Integer.parseInt(hexValue[2]);\n String kolorZeStrony = String.format(\"#%02x%02x%02x\", hexValue1, hexValue2, hexValue3);\n\n Assert.assertEquals(\"#333333\", kolorZeStrony);\n\n }", "public ColorElements getColorAccess() {\n\t\treturn eColor;\n\t}", "@NoProxy\n @NoWrap\n @NoDump\n public String getColor() {\n return color;\n }", "public Color getColor(){\r\n return color_rey;\r\n }", "int getColour();", "public java.awt.Color getColor() {\r\n return color;\r\n }", "public Color getColor() {\r\n\t\treturn color;\r\n\t}", "public Color getColor() {\r\n\t\treturn color;\r\n\t}", "@Override\n public Color getColor() {\n return color;\n }", "@Override\n public String getColor() {\n return this.color;\n }", "public final Color getColor() {\r\n return color;\r\n }", "public Color get_color() {return this.color;}", "public final Color getColor() {\n return color;\n }", "Color userColorChoose();", "private ElementColor selectColor() {\n\n\t\treturn Theme.defaultColor(); \n\t}", "public int getColorValue() {\r\n\t\treturn color;\r\n\t}", "public int getColor() {\r\n return Color;\r\n }", "@Override\n\t\tpublic Color color() { return color; }", "public Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public Color getColor() {\n\t\treturn color;\n\t}", "public String getColorRGB(WebDriver driver, String xpath, String css, Boolean ifPrint) throws NumberFormatException, IOException {\t\t\n\t\tif(ifPrint){ fileWriterPrinter(driver.findElement(By.xpath(xpath)).getCssValue(css)); }\n\t\treturn driver.findElement(By.xpath(xpath)).getCssValue(\"color\");\t\t\n\t}", "public static Color getColor() {\n return myColor;\n }", "public int getColor()\r\n {\r\n return m_iColor;\r\n }", "public RGBColor getColor(){\r\n return this._color;\r\n }" ]	[ "0.6796291", "0.67300594", "0.6727977", "0.66764605", "0.66364604", "0.66364425", "0.6596911", "0.6562884", "0.6562884", "0.65453464", "0.65421355", "0.65309757", "0.6523069", "0.6522796", "0.6521412", "0.6511359", "0.6511359", "0.6511359", "0.6511359", "0.6511359", "0.6511359", "0.6511359", "0.6511359", "0.6503433", "0.6503175", "0.65008247", "0.65008247", "0.65008247", "0.65008247", "0.65008247", "0.6497467", "0.64761513", "0.6475706", "0.6475706", "0.6475706", "0.6475086", "0.6475086", "0.64704585", "0.645409", "0.6447036", "0.6443117", "0.6443117", "0.6443117", "0.64333713", "0.6420815", "0.6420815", "0.64180785", "0.6412602", "0.6388748", "0.63763607", "0.63763607", "0.63763607", "0.63763607", "0.63763607", "0.63763607", "0.63722026", "0.6348128", "0.6345521", "0.63446426", "0.63339674", "0.6328394", "0.6328394", "0.6328394", "0.6298948", "0.6293233", "0.62895507", "0.62879425", "0.6283111", "0.62768704", "0.6265041", "0.6265041", "0.6265041", "0.6254694", "0.6254694", "0.62527055", "0.62456536", "0.62386477", "0.62292826", "0.6228229", "0.6227015", "0.62249357", "0.62249357", "0.6219393", "0.62047124", "0.6203057", "0.6187611", "0.6183013", "0.6180806", "0.61766493", "0.6168655", "0.6164941", "0.6132066", "0.61318827", "0.61318827", "0.61318827", "0.61318827", "0.61232305", "0.61211866", "0.61159956", "0.6108987" ]	0.66517323	4
Get the product image src	public synchronized List<WebElement> productImage() throws Exception { List<WebElement> images = null; try { images = utils.findElementsByLocator(driver, "PDP_productImage", "\| product image not present"); } catch (Exception e) { } return images; }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "java.lang.String getProductImageUrl();", "public String getProductPictureDetails(){\r\n\t\t\t\r\n\t\t\treturn (hasProductPicture())?McsElement.getElementByXpath(driver, PRODUCT_PIC_CONTAINER+\"//img\").getAttribute(\"src\"): \"\";\r\n\t\t}", "com.google.protobuf.ByteString\n getProductImageUrlBytes();", "String getItemImage();", "public String getSourceImage() {\n return sourceImage;\n }", "java.lang.String getPackageImageURL();", "public String getSrc() {\n return (String) attributes.get(\"src\");\n }", "public String getImageSource() {\r\n return imageSource;\r\n }", "public java.lang.String getSourceImageUrl() {\n return _courseImage.getSourceImageUrl();\n }", "public final String getSrcAttribute() {\n return getAttributeValue(\"src\");\n }", "public String getImageUrl();", "java.lang.String getImage();", "String getSrc();", "public String getImageURL() \r\n\t{\r\n\t\t\r\n\t\treturn imageURL;\r\n\t\t\r\n\t}", "java.lang.String getImagePath();", "public String getImageURL()\n\t{\n\t\treturn imageURL;\n\t}", "public String getImageUrl() {\n return imageUrl;\n }", "public String getThumbnailUrl();", "public String getImageUrl() {\n return imageUrl;\n }", "public String getImageUrl() {\n return imageUrl;\n }", "public String getImageUrl() {\n return imageUrl;\n }", "public String getImageUrl() {\n return imageUrl;\n }", "public String getImageUrl() {\n return imageUrl;\n }", "public String getImgUrl() {\n return imgUrl;\n }", "public String getImgUrl() {\n return imgUrl;\n }", "public String getImgUrl() {\n return imgUrl;\n }", "public String getImgUrl() {\n return imgUrl;\n }", "public String getImgUrl() {\n return imgUrl;\n }", "public String getImgUrl() {\r\n return imgUrl;\r\n }", "public String getImgurl() {\n return imgurl;\n }", "public CimString getProductUrl() {\n return productUrl;\n }", "public String getImageURl(){\r\n\t\treturn this.lePanel.chEventImage;\r\n\t}", "public String getSrc(String index) {\n String src = null;\n try {\n Document doc = Jsoup.connect(index).get();\n Element comic_body = doc.select(\"div#comic\").get(0);\n src = \"http://www.sandraandwoo.com\" + comic_body.select(\"img\").get(0).attr(\"src\");\n } catch (Exception ex) {ex.printStackTrace();}\n return src;\n }", "public String getImagePath() {\n return thumbnail.path + \".\" + thumbnail.extension;\n }", "public void setProductImageUrl(final String productImageUrl);", "public HippoGalleryImageSetBean getImage() {\n return getLinkedBean(\"myspringbasedhippoproject:image\", HippoGalleryImageSetBean.class);\n }", "public String getSourceImageName() {\n return this.sourceImageName;\n }", "public String getImageUrl() {\n return mImageUrl;\n }", "java.lang.String getSrc();", "abstract public String imageUrl ();", "public String getImageUrl() {\n\t\treturn imageUrl;\n\t}", "@HippoEssentialsGenerated(internalName = \"katharsisexampleshippo:image\")\n public HippoGalleryImageSet getImage() {\n return getLinkedBean(IMAGE, HippoGalleryImageSet.class);\n }", "String getImagePath();", "String getImagePath();", "public String getPictureUrl()\n\t{\n\t\treturn \"http://cdn-0.nflximg.com/us/headshots/\" + id + \".jpg\";\n\t}", "public CharSequence getItemImageUrl() {\n return item_image_url;\n }", "String getImage();", "public String getImgUrl() {\n\t\treturn imgUrl;\n\t}", "public String getURL() {\n\t\treturn RequestConstants.BASE_IMAGE_URL+_url;\n\t}", "public CharSequence getItemImageUrl() {\n return item_image_url;\n }", "public String getThumbnail();", "public String getImage() {\n\t\tString ans=\"Data/NF.png\";\n\t\tif(image!=null)\n\t\t\tans=\"Data/Users/Pics/\"+image;\n\t\treturn ans;\n\t}", "public String getImage() {\n return this.Image;\n }", "public String getImage() {\n\t\treturn null;\n\t}", "public String getImage()\n {\n return image;\n }", "@Override\n public String getImageLink() {\n return imageLink;\n }", "public String getSrc() {\r\n\t\treturn src;\r\n\t}", "public String getImage() { return image; }", "public String getImageResource() {\n \t\t// if (isWindows)\n \t\t// return \"/\" + new File(imageResource).getPath();\n \t\t// else\n \t\treturn imageResource;\n \t}", "public String getImage() {\n return image;\n }", "public java.lang.String getImage() {\n\t\treturn _imageCompanyAg.getImage();\n\t}", "@Nullable\n public String getImageUrl() {\n return imageUrl;\n }", "public String getImage() {\n return image;\n }", "public String getImage() {\n return image;\n }", "public String getImage() {\n return image;\n }", "public String getImage() {\n return image;\n }", "public String getPhotoUrl() {\n return fullPhoto.getPhotoUrl();\n }", "@Override\n\tpublic String getResource() {\n\t\ttry {\n\t\t\treturn (new File(\"./resources/images/mageTowerCard.png\")).getCanonicalPath();\n\t\t} catch (IOException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\treturn \"\";\n\t\t}\n\t}", "@JsonProperty(\"productImageUrl\")\n public String getProductImageUrl();", "public String smallImage() {\n return this.smallImage;\n }", "@Override\n public String getImagePath() {\n return IMAGE_PATH;\n }", "public String obtenerContenidoImg() {\r\n Element elemento = doc.select(\"IMG\").first();\r\n //obtine lo siguiente a \"src\"\r\n String imagen = elemento.attr(\"src\");\r\n return imagen;\r\n }", "public String getProductUrl() {\n\t\treturn productUrl;\n\t}", "@Override\n\tpublic BufferedImage getImage() {\n\t\tif (cimg == null)\n\t\t\ttry {\n\t\t\t\tcimg = ImageIO.read(WizardRpgXpVxLicenePage.class.getResource(\"licence.jpg\"));\n\t\t\t} catch (Throwable t) {\n\t\t\t\tYEx.info(\"Can not load Image \" + getImgName() + \" for wizard\", t);\n\t\t\t}\n\t\treturn cimg;\n\t}", "public String getImage() {\n\t\treturn image;\n\t}", "public String getImage() {\n\t\treturn image;\n\t}", "final RenderedImage getSource() {\n return sources[0];\n }", "@Nullable\n final public String getMainImageUrl() {\n return mMainImageUrl;\n }", "@Override\r\n\tpublic Image getImg() {\n\t\treturn img.getImage();\r\n\t}", "public String getpImage() {\n return pImage;\n }", "public List<String> getStoreProductImageById(int storeProductId) throws SQLException, ClassNotFoundException {\n List<String> result =new ArrayList<>();\n Connection con = null;\n PreparedStatement stm = null;\n ResultSet rs = null;\n try {\n con = MyConnection.myConnection();\n if (con !=null){\n String sql = \"select SPIId, ImageSrc from StoreProductImage where StoreProductId = ?\";\n stm = con.prepareStatement(sql);\n stm.setInt(1, storeProductId);\n rs = stm.executeQuery();\n while (rs.next()){\n result.add(rs.getString(\"ImageSrc\"));\n\n }\n }\n }finally {\n MyConnection.closeConnection(rs, stm,con);\n }\n return result;\n }", "@Override\n\tpublic ProductGalleries cariProductImage(String id) {\n\t\treturn this.productGaleryRepository.findById(Long.parseLong(id)).get();\n\t}", "@Override\n\tprotected String getImageUrl() {\n\t\treturn user.getUserInfo().getImageUrl();\n\t}", "public String getUrlImagen(){\n\t\treturn urlImagen;\n\t}", "java.lang.String getPictureUri();", "@Override\n\tpublic String getServletInfo() {\n\t\treturn \"Returns product image.\";\n\t}", "public StoreProductImage getOneStoreProductImageById(int storeProductId) throws SQLException, ClassNotFoundException {\n StoreProductImage result =null;\n Connection con = null;\n PreparedStatement stm = null;\n ResultSet rs = null;\n try {\n con = MyConnection.myConnection();\n if (con !=null){\n String sql = \"select SPIId, ImageSrc from StoreProductImage where StoreProductId = ?\";\n stm = con.prepareStatement(sql);\n stm.setInt(1, storeProductId);\n rs = stm.executeQuery();\n if (rs.next()){\n int fspId = rs.getInt(\"SPIId\");\n String imageSrc = rs.getString(\"ImageSrc\");\n result = new StoreProductImage(fspId, imageSrc, storeProductId);\n\n }\n }\n }finally {\n MyConnection.closeConnection(rs, stm, con);\n }\n return result;\n }", "@Override\n\tString getImageUrl() throws SmsException {\n\t\treturn \"http://tele2.ru/controls/ImageCode.aspx\";\n\t}", "public String getRatingImageSmallUrl() {\n\t\treturn ratingImageSmallUrl;\n\t}", "@Override\n public GardenPictureBO getGardenPictureByIdFetchImage(Long pIdProductPictureBO) {\n GardenPictureBO gardenPictureBO = get(pIdProductPictureBO);\n //We manually call the image to load \n gardenPictureBO.getPicture();\n return gardenPictureBO;\n }", "public BufferedImage getSourceImage() { \r\n return m_source;\r\n }", "public String getImg() {\n return img;\n }", "public String getImg() {\n return img;\n }", "public String getImg() {\n return img;\n }", "public static String getImageURL(Bundle data) {\n // Extract the path to the image file from the Bundle, which\n // should be stored using the IMAGE_URL key.\n return data.getString(IMAGE_URL);\n }", "public static String getPageImagePath(final Resource resource) {\n String imgSrc = StringUtils.EMPTY;\n if (resource == null) {\n return imgSrc;\n }\n final Image image = new Image(resource, \"image\");\n // check if the image from dam\n String fileReference = image.getFileReference();\n if (StringUtils.isNotEmpty(fileReference)) {\n return fileReference;\n }\n // else drag & drop image\n image.setSelector(\".img\");\n if (image.hasContent()) {\n imgSrc = image.getSrc();\n imgSrc = imgSrc.replaceAll(\"image.img\", \"image/file.img\");\n }\n return imgSrc;\n }", "java.lang.String getProfileImage();", "public String getPhotoUrl() {\n try {\n ParseFile pic = fetchIfNeeded().getParseFile(\"pic\");\n return pic.getUrl();\n }\n catch (ParseException e) {\n Log.d(TAG, \"Error in getting photo from Parse: \" + e);\n return null;\n }\n }", "public String getOriginalImg() {\n return originalImg;\n }", "public PImage getImage() {\n return this.image;\n }" ]	[ "0.85577947", "0.7894751", "0.73296744", "0.70000976", "0.69029903", "0.68488437", "0.68360126", "0.6814585", "0.6788394", "0.6771219", "0.6765396", "0.65741545", "0.6521084", "0.6497771", "0.6492697", "0.648024", "0.64265126", "0.6409251", "0.63946074", "0.63946074", "0.63946074", "0.63946074", "0.63946074", "0.6389701", "0.6389701", "0.6389701", "0.6389701", "0.6389701", "0.6386963", "0.6360492", "0.6360416", "0.6358028", "0.63447857", "0.6343037", "0.6311767", "0.63024104", "0.62994355", "0.62993366", "0.62633675", "0.62617236", "0.6261699", "0.62542796", "0.6238243", "0.6238243", "0.62312347", "0.6208791", "0.620842", "0.6189151", "0.6172713", "0.6172231", "0.61620003", "0.6158545", "0.61301273", "0.6124039", "0.61235154", "0.6121654", "0.60999846", "0.60866815", "0.60850185", "0.608414", "0.6082392", "0.6078863", "0.6063654", "0.6063654", "0.6063654", "0.6063654", "0.6058206", "0.60577804", "0.6054585", "0.6050495", "0.60473156", "0.60417145", "0.6025426", "0.6013536", "0.6012754", "0.6012754", "0.6006096", "0.5996191", "0.5994042", "0.599324", "0.5988082", "0.59827447", "0.59801424", "0.596781", "0.59636503", "0.59620637", "0.5952155", "0.59512854", "0.5920152", "0.59192103", "0.59128994", "0.59106565", "0.59106565", "0.59106565", "0.5906359", "0.5894805", "0.58755004", "0.58749926", "0.5866359", "0.5866287" ]	0.6300576	36
Get the order value in mini bag	public synchronized WebElement txt_miniBagOrderValue() throws Exception { return utils.findElementByLocator(driver, "PDP_MiniBag_orderValue", "Mini Bag\| order value"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public Integer getOrder();", "public int getOrder();", "Order getOrder();", "public Integer getOrder() {\n return order;\n }", "@VTID(10)\r\n int getOrder();", "public Integer getOrder() {\n return order;\n }", "public Integer getOrder() {\n return order;\n }", "public Integer getMin_order() {\n return min_order;\n }", "public int getOrder() {\n \treturn ord;\n }", "int getOrder(){\r\n\t\t\treturn this.order;\r\n\t\t}", "public Integer getOrder() {\n\t\treturn order;\n\t}", "public int getOrder() {\n return order;\n }", "public int getOrder() {\n return order;\n }", "public final Integer getOrder() {\n return this.order;\n }", "public int getQuantity() { \n return myOrderQuantity;\n }", "public int getOrder() {\r\n\t\treturn order;\r\n\t}", "public int getOrder() {\n return mOrder;\n }", "public String getOrder() {\n return this.Order;\n }", "public Boolean getOrdered() { \n\t\treturn getOrderedElement().getValue();\n\t}", "public Order getOrder() {\n return this.order;\n }", "@Override\r\n public int getOrder() {\r\n return this.order;\r\n }", "public int getOrder() {\n\t\treturn 0;\n\t}", "public Order getOrder() {\n return order;\n }", "default int getOrder() {\n\treturn 0;\n }", "public int getOrder() {\n\t\treturn order;\n\t}", "com.google.protobuf.StringValue getOrderId();", "double getOrderSize();", "public Integer getOrderNumber()\n {\n return orderNum;\n }", "public Integer getnOrder() {\n return nOrder;\n }", "public Short getOrderNo() {\n return orderNo;\n }", "public final OMSVGAnimatedInteger getOrderX() {\n return ((SVGFEConvolveMatrixElement)ot).getOrderX();\n }", "public ArrayList<Thneed> getProdOrdered(){\n\t\treturn this.prodOrdered;\n\t}", "public Integer getOrderIndex() {\n return orderIndex;\n }", "public CustomerOrder getOrder() {\n return (CustomerOrder) get(\"order\");\n }", "public int getOrderProductNum()\r\n {\n return this.orderProductNum;\r\n }", "public short order() {\r\n\t\treturn (short) (factors.length - 1);\r\n\t}", "Quantity getComparisonValue();", "Ordering<Part> getOrdering();", "public BigDecimal getOrderItemProice() {\n return orderItemProice;\n }", "public long getOrderNumber()\n {\n return _orderNumber;\n }", "@Override\n\tpublic ProcessorOrder getOrder() {\n\t\treturn ProcessorOrder.LOW;\n\t}", "String getOrderId();", "int order();", "private Order getOrder()\n {\n return orderController.getOrder(getOrderNumber());\n }", "public String getOrdernum() {\n return ordernum;\n }", "@Override\n\tpublic int getOrder() {\n\t\treturn 1;\n\t}", "public java.lang.String getOrderID(){\n return localOrderID;\n }", "public java.lang.String getOrderID(){\n return localOrderID;\n }", "@Override\n\tpublic int getQuantidade() {\n\t\treturn hamburguer.getQuantidade();\n\t}", "public List<Order> getOrder() {\n return order;\n }", "public int getOrderNumber() {\n return orderNumber;\n }", "public double getOrderSize() {\n return orderSize_;\n }", "public ArrayList<OrderItem> getOrderArray(){return orderInfo;}", "@Override\r\n\tpublic Order getOrder() {\n\t\treturn null;\r\n\t}", "public BigDecimal getOrderMoney() {\n return orderMoney;\n }", "public String getOrderitem() {\n\t\treturn orderitem;\n\t}", "OrderType getOrderType();", "public String getOrderSn() {\n return orderSn;\n }", "@DISPID(14)\n\t// = 0xe. The runtime will prefer the VTID if present\n\t@VTID(25)\n\tint order();", "@Override\n\tpublic int getOrder() {\n\t\treturn Ordered.HIGHEST_PRECEDENCE + 10000;\n\t}", "public Long getOrdermoney() {\n return ordermoney;\n }", "public BigDecimal getPriceLastOrd();", "public String getOrderNum() {\n return orderNum;\n }", "public Integer getTopbs() {\n return topbs;\n }", "public void setOrder(int value) {\n this.order = value;\n }", "public double getOrderSize() {\n return orderSize_;\n }", "public Integer getQuantity();", "int[] getGivenByOrder();", "public BigInteger getMissiveOrder() {\n\n // Get the missive order\n return this.sepamailMissive001.getMsvOrd();\n }", "@Override\r\n\tpublic int getOrder() {\n\t\treturn 0;\r\n\t}", "io.dstore.values.IntegerValue getSortNo();", "public Long getOrderNo () {\r\n\t\treturn orderNo;\r\n\t}", "public K topValue() {\n\t\tif(top!=null)\r\n\t\t\treturn top.data;\r\n\t\t\r\n\t\treturn null;\r\n\t}", "public int getOrderID()\n {\n synchronized (monitor())\n {\n check_orphaned();\n org.apache.xmlbeans.SimpleValue target = null;\n target = (org.apache.xmlbeans.SimpleValue)get_store().find_element_user(ORDERID$0, 0);\n if (target == null)\n {\n return 0;\n }\n return target.getIntValue();\n }\n }", "@Override\n\tpublic Order getOrder() {\n\t\treturn null;\n\t}", "private int getPriority(Order order) {\n if (order.getVip()) {\n return vipPriority;\n } else if (order.getFood()) {\n return foodPriority;\n } else {\n return otherPriority;\n }\n }", "public Byte getOrderType() {\n return orderType;\n }", "public long getOrderNumber() {\n return (long) (Math.random() * 999999999999L);\n }", "public String getOrderno() {\n return orderno;\n }", "public String getOrderno() {\n return orderno;\n }", "public BigDecimal getSplitQty() \n{\nBigDecimal bd = (BigDecimal)get_Value(\"SplitQty\");\nif (bd == null) return Env.ZERO;\nreturn bd;\n}", "public int getQuantite() {\r\n return quantite;\r\n }", "public Bag getBag()\n\t{\n\t\treturn m_bag;\n\t}", "public Integer\t\tgetOrderID();", "com.google.protobuf.ByteString\n getOrderByBytes();", "public String getAlternativeOrderNumberPrefix();", "ProductoO getIzq();", "public long getModelOutputChartOrderPK();", "private Node find(Order ord){\n\t\tNode position=head;\n\t\tOrder ItemPosition;\n\t\twhile (position!=null){\n\t\t\tItemPosition = position.ord;\n\t\t\tif(ItemPosition.equals(ord)) {\n\t\t\t\tposition=bestBid;\n\t\t\t\treturn position;\n\t\t\t}\n\t\t}\n\t\treturn null;\n\t}", "public java.math.BigDecimal getQty() throws java.rmi.RemoteException;", "public String getOrderNo() {\n return orderNo;\n }", "public Integer getOrderItemAmount() {\n return orderItemAmount;\n }", "public int getQuantity();", "Quantity getQuantity();", "long getQuantity();", "long getQuantity();", "public int getValue() {\n\t\t \treturn ordinal();\n\t\t }", "public ArrayList<Integer> getOrdering() {\n return T.getRoot().getOrder();\n }", "public int top() {\n return q1.getFirst();\n }", "@Override\r\n\tpublic OrderVO getOrderByID(Integer ono) throws Exception {\n\t\treturn sqlSession.selectOne(namespaceOrder+\".getOneOrderByOrderID\",ono);\r\n\t}" ]	[ "0.67823166", "0.64273757", "0.6254024", "0.6223267", "0.62076646", "0.6160578", "0.6160578", "0.6132825", "0.6129037", "0.6042852", "0.5970938", "0.5964547", "0.5964547", "0.5962485", "0.59596324", "0.5848811", "0.5823787", "0.5817668", "0.58042485", "0.5796366", "0.57838494", "0.5764692", "0.5762856", "0.5746971", "0.5746041", "0.57407284", "0.57297015", "0.57188857", "0.5697107", "0.5688072", "0.5629739", "0.5609182", "0.5600232", "0.55555266", "0.55417246", "0.553794", "0.55166835", "0.55042773", "0.54896027", "0.54868746", "0.5481934", "0.5474188", "0.54724705", "0.5440648", "0.54278797", "0.54134166", "0.54012144", "0.54012144", "0.53992695", "0.5373985", "0.536937", "0.53458613", "0.53308934", "0.5327518", "0.5325957", "0.53086245", "0.53005016", "0.52971596", "0.5296374", "0.52916676", "0.52906966", "0.528615", "0.52592844", "0.5257623", "0.5255188", "0.5247077", "0.5239131", "0.52309936", "0.52291626", "0.5220947", "0.5220678", "0.52141976", "0.5185542", "0.5182549", "0.5177534", "0.5160727", "0.5151509", "0.5149369", "0.51467776", "0.51467776", "0.51404536", "0.5139479", "0.51334476", "0.51300144", "0.51230055", "0.5117733", "0.5110607", "0.51057196", "0.5101597", "0.5095673", "0.50950843", "0.50878626", "0.5079922", "0.5063889", "0.50606555", "0.50606555", "0.50601", "0.50527364", "0.5052733", "0.5050558" ]	0.59057504	15
Get product link on mini bag	public synchronized WebElement lnk_productNameMiniBag() throws Exception { return utils.findElementByLocator(driver, "PDP_MiniBag_productLNK", "Mini Bag\| Product name"); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public CimString getProductUrl() {\n return productUrl;\n }", "public String getProductUrl() {\n\t\treturn productUrl;\n\t}", "List<ProductLink> links();", "String getLink();", "public String getLink();", "java.lang.String getProductImageUrl();", "public String getBuyLink() {\n return buyLink;\n }", "public String getRelatedProductsURL(Context context){\n return this.getURL(context.getResources().getString(R.string.related_products))+\"&product_id=%1$s\";\n }", "private Component getLinkOfItem(String id, final Object itemValue) {\n \t\t\tLink<String> link;\n \t\t\tif (itemValue instanceof Shop) {\n \t\t\t\tlink = new Link<String>(id) {\n \t\t\t\t\tprivate static final long serialVersionUID = 1L;\n \n \t\t\t\t\t@Override\n \t\t\t\t\tpublic void onClick() {\n \t\t\t\t\t\treturn;\n \t\t\t\t\t}\n \n \t\t\t\t\t@Override\n \t\t\t\t\tpublic boolean isVisible() {\n \t\t\t\t\t\treturn false;\n \t\t\t\t\t}\n \t\t\t\t};\n \t\t\t\tlink.add(new Label(\"link.name\"));\n \t\t\t\tlink.add(new Label(\"amount.value\"));\n \t\t\t} else if (itemValue instanceof Product) {\n \t\t\t\tfinal Product product = (Product) itemValue;\n \t\t\t\tlink = new Link<String>(id) {\n \t\t\t\t\tprivate static final long serialVersionUID = 1L;\n \n \t\t\t\t\t@Override\n \t\t\t\t\tpublic void onClick() {\n \t\t\t\t\t\tonChoiceProduct(product);\n \t\t\t\t\t}\n \t\t\t\t};\n \t\t\t\tlink.add(new Label(\"link.name\", product.getName()));\n \t\t\t\tString amount = String.valueOf(product.getAmount()) \n \t\t\t\t\t\t+ getLocalizer().getString(\"amount.unit\", ChoiceLunch.this);\n \t\t\t\tlink.add(new Label(\"amount.value\", amount)\n \t\t\t\t\t\t\t\t.setVisible(!Product.DEFAULT_ID.equals(product.getId())));\n \t\t\t\tif (WicketSession.get().isSignedIn()) {\n \t\t\t\t// view dialog style confirm\n \t\t\t\tlink.add(AttributeModifier.append(\"data-rel\", \"dialog\"));\n \t\t\t\t}\n\t\t\t\t// link disabled when not found product or over the last order time.\n\t\t\t\tif (Product.DEFAULT_ID.equals(product.getId()) \|\| Product.NOT_FOUND_ITEM.equals(product.getId()))\n\t\t\t\t\tlink.setEnabled(false);\n \t\t\t} else {\n \t\t\t\tthrow new IllegalStateException(\"itemValue dosen't object Shop or Product\");\n \t\t\t}\n \n \t\t\treturn link;\n \t\t}", "public String getProductReference() {\n return productReference;\n }", "@When(\"I click on NikonD5500DSLR product link\")\n public void i_click_on_nikon_d5500dslr_product_link() {\n BasePage.camaraAndPhotoPage.getNikonD5500dslrLink().click();\n }", "String getTheirProductId();", "String getProduct();", "@ApiModelProperty(value = \"Reference of the product\")\n @JsonProperty(\"href\")\n public String getHref() {\n return href;\n }", "public String getLBR_ProductSource();", "void onProductClick(Product product, int code);", "public String getLink() {\r\n return link;\r\n }", "private Link lnkViewDetails(final String productName) {\n return new Link(\n \"//span[@class='subhedcsb' and contains(., '\"\n + productName.trim() + \"')]/../following-sibling::td[3]//a\");\n }", "public String getLink() {\n return link;\n }", "public String getLink()\n {\n return link;\n }", "public String getLink() {\n return link;\n }", "public String getLink() {\n return link;\n }", "public String getLink() {\n return link;\n }", "public String getLink() {\n return link;\n }", "public String getLink(){\n return mLink;\n }", "public String getCartDetailonProductDetailPage()\n\t{\n\t\twaitForVisibility(cartDetailonProductDetailPage);\n\t\treturn cartDetailonProductDetailPage.getText();\n\t}", "public void linkProduct() {\n Product result;\n String supplierID = getToken(\"Enter supplier ID: \");\n if (warehouse.searchSupplier(supplierID) == null) {\n System.out.println(\"No such supplier!\");\n return;\n }\n do {\n String productID = getToken(\"Enter product ID: \");\n result = warehouse.linkProduct(supplierID, productID);\n if (result != null) {\n System.out.println(\"Product [\" + productID + \"] assigned to supplier: [\" + supplierID + \"]\");\n }\n else {\n System.out.println(\"Product could not be assigned\");\n }\n if (!yesOrNo(\"Assign more products to supplier: [\" + supplierID + \"]\")) {\n break;\n }\n } while (true);\n }", "private void subscribeShortLink() {\n mProductDetailsViewModel.getShortLink().observe(this, shortLink -> {\n Intent intent = new Intent(Intent.ACTION_SEND);\n intent.setType(TEXT_PLAIN);\n intent.putExtra(Intent.EXTRA_SUBJECT, getResources().getString(R.string.app_name));\n intent.putExtra(Intent.EXTRA_TEXT, shortLink.toString());\n startActivity(intent);\n });\n }", "@Override\n public void onListItemSelected(String asinID,String title,String price) {\n if(UtilityFunctions.isNetworkAvailable(getActivity())) {\n Intent i = new Intent(getActivity(), ProductInformationPageActivity.class);\n i.putExtra(Tag.PIP_URL, Tag.PIP_URL + asinID);\n i.putExtra(Tag.TITLE, title);\n i.putExtra(Tag.PRICE, price);\n startActivity(i);\n }\n else\n {\n Toast.makeText(getActivity(),Tag.NO_INTERNET,Toast.LENGTH_SHORT).show();\n }\n }", "@Schema(description = \"Link to get this item\")\n public String getUrl() {\n return url;\n }", "@When(\"I click on the product comparision message link\")\n public void i_click_on_the_product_comparision_link() {\n BasePage.htcOneMiniBluePage.clickOnProductComparisionLink();\n }", "public String getProductID(Integer randomeProductPlateNumber) {\n\t\t By currentProductLinkField = By.xpath(\"//[@id='product-list']/div/div[\"+ randomeProductPlateNumber + \"]/a[1]\");\n\t\treturn driver.findElement(currentProductLinkField).getAttribute(\"data-linkproductid\");\n\t}", "public URI getPricingDetailLink() {\n return this.pricingDetailLink;\n }", "@JsonProperty(\"ProductURL\")\n public String getProductURL() {\n return productURL;\n }", "public String getProduct() {\r\n return this.product;\r\n }", "public String getProduct() {\n return this.product;\n }", "public java.lang.String getLink()\n {\n return this.link;\n }", "public String getLink() {\n\t\treturn link;\n\t}", "public String getLink() {\n\t\treturn link;\n\t}", "public String product() {\n return this.product;\n }", "private List<String> getOfferPagesLinks(Document document) {\n return document.select(\"div[class=product-image loaded] > a[href]\").eachAttr(\"abs:href\");\n }", "public String getProduct()\n {\n return product;\n }", "String getHref();", "public String getProduct() {\n return product;\n }", "public String getProduct() {\n return product;\n }", "@ApiModelProperty(required = true, value = \"URI providing the resource address for the other product that is related to the referenced one\")\n @NotNull\n public String getHref() {\n return href;\n }", "public String getLink() {\n\t\t\treturn link;\n\t\t}", "String getProductId();", "private void getOrder() {\n\n String defaultLink;\n defaultLink = \"https://neophron.in/MilkDiary/addProduct.php?prodname\";\n String prodname = prodName.getText().toString();\n prodname = prodname.replaceAll(\" \", \"%20\");\n String orrate = rate.getText().toString();\n Uri uri = Uri.parse(defaultLink+\"=\"+prodname+\"&prodprice=\"+orrate);\n myWebView.loadUrl(uri.toString());\n\n Log.i(\"orderweburl\", uri.toString());\n\n Toast.makeText(AddProductActivity.this, \"success...\", Toast.LENGTH_LONG).show();\n }", "public String link() {\n return DevRant.BASE_URL + DevRant.RANT_URL + '/' + getId();\n }", "public String getProductURLXPath();", "Object getProduct();", "public String getLinkName();", "public GiftCardProductQuery relativeUrl() {\n startField(\"relative_url\");\n\n return this;\n }", "@Override\n public void onClick(Product product) {\n Log.i(\"MainActivity\", product.toString());\n Intent detailIntent = new Intent(this, DetailActivity.class);\n detailIntent.putExtra(Constants.Keys.PRODUCT_DETAIL.toString(), product);\n startActivity(detailIntent);\n }", "private static String getInfoLink(JSONObject volumeInfo) throws JSONException {\n return volumeInfo.getString(\"infoLink\");\n }", "String getVmUrl();", "@Override\r\n\tprotected String getPath() {\n\t\treturn \"/product/detail.do?param=\";\r\n\t}", "public final native String getUrl() /-{\n return this.getUrl();\n }-/;", "public String getInfoLink() {\n return fullPhoto.getInfoLink();\n }", "@Override\n public void onClick(View v) {\n if (postmodel.getSellType() == 1) {\n\n Intent i = new Intent(Intent.ACTION_VIEW, Uri.parse(postmodel.getProductLink()));\n context.startActivity(i);\n } else {\n Bundle bundle = new Bundle();\n bundle.putStringArray(\"images\", finalImageArray);\n Intent intent = new Intent(context, ProductPage.class);\n intent.putExtra(\"product_name\", postmodel.getProductName());\n intent.putExtra(\"product_cat\", postmodel.getProductCat());\n intent.putExtra(\"product_desc\", postmodel.getProductDesc());\n intent.putExtra(\"product_link\", postmodel.getProductLink());\n intent.putExtra(\"product_price\", String.valueOf(postmodel.getProductPrice()));\n intent.putExtra(\"id\", String.valueOf(postmodel.getId()));\n intent.putExtras(bundle);\n intent.setFlags(Intent.FLAG_ACTIVITY_NEW_TASK);\n context.startActivity(intent);\n }\n\n }", "public String getThumbPhotoLink() {\n return fullPhoto.getThumbPhotoLink();\n }", "public java.lang.String getProduct() {\n return product;\n }", "public String getProductId();", "java.lang.String getClickURL();", "String getLinkName();", "protected static void getLatestPack() {\n\t\tSystem.out.println(\"Getting Latest Pack Version Link...\");\n\t\ttempPackURL = ConfigHandler.packLatestLink;\n\t\tSystem.out.println(\"Link Found!\");\n\t}", "private String findLink(BasicPanel panel, Element e)\n {\n String uri = null;\n\n for (Node node = e; node.getNodeType() == Node.ELEMENT_NODE; node = node.getParentNode())\n {\n uri = panel.getSharedContext().getNamespaceHandler().getLinkUri((Element) node);\n\n if (uri != null)\n {\n try\n {\n URI linkUri = getLinkUri(uri);\n String target = panel.getSharedContext().getNamespaceHandler().getAttributeValue((Element) node, \"target\");\n logger.debug(\"link target: \" + target);\n if (EXTERNAL_TARGET.equalsIgnoreCase(target))\n {\n logger.info(\"launch external browser for \" + uri);\n BareBonesBrowserLaunch.openURL(linkUri.toString());\n uri = null;\n }\n else if (EXTERNAL_MORE_ASSIGNMENT.equalsIgnoreCase(target))\n {\n if (showMoreInfo != null)\n {\n logger.info(\"show more assignment with \" + uri);\n showMoreInfo.showMoreInfo(linkUri, MoreInfoTypes.ASSIGNMENT, eloUri);\n }\n else\n {\n logger.info(\"could not show more assignment (showMoreInfo==null) with \" + uri);\n }\n uri = null;\n }\n else if (EXTERNAL_MORE_RESOURCES.equalsIgnoreCase(target))\n {\n if (showMoreInfo != null)\n {\n logger.info(\"show more resources with \" + uri);\n showMoreInfo.showMoreInfo(linkUri, MoreInfoTypes.RESOURCES, eloUri);\n }\n else\n {\n logger.info(\"could not show more resources (showMoreInfo==null) with \" + uri);\n }\n uri = null;\n }\n break;\n }\n catch (URISyntaxException ex)\n {\n logger.error(\"error in uri\", ex);\n }\n }\n }\n\n return uri;\n }", "@objid (\"780bebb2-6884-4789-bdef-ca10444ad5fb\")\n Link getLink();", "public synchronized WebElement shoppingBagProductName() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_ShoppingBagProduct\",\n\t\t\t\t\"\| PDP:Content(Product Name) of the Shopping bag page\");\n\t}", "public MethodLinkBuilderFactory<GamesItemThymeleafController> getItemLink() {\n return itemLink;\n }", "private String getURL() {\n\t\t// TODO : Generate URL\n\t\treturn null;\n\t}", "public String getProductName(){\n return productRelation.getProductName();\n }", "public String getBoshUrl() {\n return boshUrl;\n }", "public String getProductId() ;", "private String getJiaoDaUrl(MesItemHolder holder) {\n StringBuilder url = new StringBuilder(holder.getBaseUrl());\n if(holder.isPull()){\n url.append(\"?modcode=jygl_xjhxxck&subsyscode=zpfw&type=searchXjhxx&xjhType=all\");\n }else{\n\n url.append(\"?ype=goPager&requestPager=pager&pageMethod=next&currentPage=\"+(holder.getPager()-1));\n }\n return url.toString();\n }", "public static WebElement lnk_clickMatchingProducts() throws Exception{\r\n \ttry{\r\n \t\telement = driver.findElement(\r\n \t\t\t\tBy.xpath(\"(//[contains(@class,'showMorePP')]//a[contains(text(),'Matching products')])[position()=1]\"));\r\n \t\tAdd_Log.info(\"Matching products link is click on the page.\");\r\n \t\t\r\n \t}catch(Exception e){\r\n \t\tAdd_Log.error(\"Matching products link is NOT found on the page\");\r\n \t\tthrow(e);\r\n \t}\r\n \treturn element;\r\n }", "public String getLargeCoverUrl() {\n return \"http://covers.openlibrary.org/b/olid/\" + openLibraryId + \"-L.jpg?default=false\";\n }", "@Given(\"I am on the product page\")\n\t\tpublic void i_am_on_the_product_page() {\n\t\t\tdriver.get(ExpectedUrl);\n\t\t}", "public abstract String getManipulatorLinkLabel();", "@Override\n\t\tpublic String toString() {\n\t\t\treturn \"下载链接:\"+showLink;\n\t\t}", "public void goIntoProducts() {\r\n\t\tActions act = new Actions(driver);\r\n\t\t//hovering over the tag button\r\n\t\tact.moveToElement(this.tagButton).build().perform();\r\n\t\t//clicking on products button\r\n\t\tthis.productsBtn.click();\r\n\t}", "@Override\n public String getImageLink() {\n return imageLink;\n }", "String getHybrisLogoUrl(String logoCode);", "String nextLink();", "java.lang.String getBookingURL();", "@XmlElement\r\n\tpublic String getMyUrl() {\r\n\t\tString ret = null;\r\n\t\tif (null != getId()) {\r\n\t\t\tret = String.format(\"%s/category/%s-%s\", SuperContainer.BaseUrl, getId() + \"\", getUrl());\r\n\t\t\t\r\n\t\t\t// Always add html to the end\r\n\t\t\tif(!getUrl().endsWith(\".html\")) {\r\n\t\t\t\tret = ret + \".html\";\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t\treturn ret;\r\n\t}", "public void setProductUrl(String productUrl) {\n\t\tthis.productUrl = productUrl;\n\t}", "CafeProduct getProductById(final Integer productId);", "public String getURL(int position){\n Item current = getItem(position);\n return current.URL();\n }", "public java.lang.String getLinkid(){\r\n return localLinkid;\r\n }", "public void getProduct() {\n\t\tUtil.debug(\"getProduct\",this);\n\t\ttry {\n\t\t\tinputStream.skip(inputStream.available());\n\t\t} catch (IOException e) {\n\t\t\tUtil.log(e.getStackTrace().toString(),this);\n\t\t\treturn;\n\t\t}\n\t\ttry {\n\t\t\toutputStream.write(new byte[] { 'x', 13 });\n\t\t} catch (IOException e) {\n\t\t\tUtil.log(e.getStackTrace().toString(),this);\n\t\t\treturn;\n\t\t}\n\n\t\t// wait for reply\n\t\tUtil.delay(RESPONSE_DELAY);\n\t}", "java.lang.String getProductCode();", "public Link getLink() {\r\n return link;\r\n }", "public String getUniqueLink(String prefix) {\n\t\tString ans = this.edutility.getSHA256(prefix);\n\t\treturn ans;\n\t}", "@Nullable\n public String getLink() {\n return mLink;\n }", "public ProductOffering href(String href) {\n this.href = href;\n return this;\n }", "@Override\n\tpublic String getServletInfo() {\n\t\treturn \"Returns product image.\";\n\t}", "public GiftCardProductQuery urlKey() {\n startField(\"url_key\");\n\n return this;\n }", "public void gotoProduct(Product product){\n Intent detail = new Intent(getContext(), ProductDetail.class);\n detail.putExtra(\"PRODUCT\",product);\n // create the animator for this view (the start radius is zero)\n if (android.os.Build.VERSION.SDK_INT >= android.os.Build.VERSION_CODES.LOLLIPOP) {\n\n //itemView.getContext().startActivity(detail);\n }else{\n\n }\n //ActivityOptionsCompat options = ActivityOptionsCompat.makeSceneTransitionAnimation(getActivity(),recycler,\"heading\");\n //getContext().startActivity(detail,options.toBundle());\n getContext().startActivity(detail);\n\n }" ]	[ "0.6667144", "0.6444801", "0.63235605", "0.63226354", "0.6257156", "0.6255002", "0.6199918", "0.5873411", "0.5842674", "0.58288777", "0.5796474", "0.5792531", "0.57875913", "0.57713777", "0.57467103", "0.5721167", "0.57078695", "0.5694058", "0.5692885", "0.5690334", "0.5665802", "0.5665802", "0.5665802", "0.5665802", "0.5643696", "0.56256056", "0.5621129", "0.560962", "0.5606396", "0.5605773", "0.5601368", "0.55888724", "0.55870664", "0.5575073", "0.5562414", "0.5531361", "0.5516863", "0.54862565", "0.54862565", "0.5466172", "0.5464642", "0.54587173", "0.5453193", "0.54277384", "0.54277384", "0.54166025", "0.54165715", "0.5409502", "0.54000455", "0.5393559", "0.5393384", "0.5392818", "0.5390438", "0.5386269", "0.5379732", "0.53670496", "0.53547466", "0.53538704", "0.53465384", "0.53413147", "0.5340994", "0.5324401", "0.53122616", "0.53073883", "0.5296735", "0.5295844", "0.5286551", "0.5283509", "0.5276099", "0.5271862", "0.52631193", "0.5254956", "0.5247581", "0.5237269", "0.52276677", "0.52198774", "0.52147174", "0.5213523", "0.5210443", "0.52003914", "0.5193213", "0.5189649", "0.51831436", "0.51795465", "0.5177657", "0.516343", "0.5160044", "0.5144651", "0.5143673", "0.5140618", "0.51234186", "0.5122644", "0.5115919", "0.51094174", "0.51060915", "0.50864685", "0.5084608", "0.5082135", "0.5078103", "0.5078094" ]	0.62037903	6
Method used for Add Item to Shopping Bag.	public synchronized void storelocator_selectSize() throws Exception { List<WebElement> sizes = list_SizeSwatch(); for (WebElement el : sizes) { if (el.isEnabled()) { utils.clickWebElement(driver, el, "size selection"); size = el.getText(); System.out.println("************* " + size); break; } } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void add() {\n\t\tcart.add(item.createCopy());\n\t}", "void add(Item item);", "private void add(GroceryItem itemObj, String itemName) {\n\t\tbag.add(itemObj);\n\t\tSystem.out.println(itemName + \" added to the bag.\");\n\t}", "public abstract void addItem(AbstractItemAPI item);", "public void addItem(SoldItem item) {\n\n items.add(item);\n log.debug(\"Added \" + item.getName() + \" quantity of \" + item.getQuantity());\n\n }", "void addItem (Item toAdd){\n\t\t\tthis.items.add(toAdd);}", "@Override\n\t@RequestMapping(value=ZuelControllerValue.Manage+\"addItem\")\n\tpublic ZuelResult addItem(TbItem item) {\n\t\treturn service.addItem(item);\n\t}", "public void addProduct(Product item){\n inventory.add(item);\n }", "CatalogItem addCatalogItem(CatalogItem catalogItem);", "public void addItem(Item theItem) {\n\t\tif (inventory != null) {\n\t\t\tif (!isAuctionAtMaxCapacity()) {\n\t\t\t\t// Check item doesn't already exist as key in map\n\t\t\t\tif (inventory.containsKey(theItem)) {\n\t\t\t\t\t//ERROR CODE: ITEM ALREADY EXISTS\n\t\t\t\t\tSystem.out.println(\"That item already exists in the inventory.\");\n\t\t\t\t} else\n\t\t\t\t\tinventory.put(theItem, new ArrayList<Bid>());\n\t\t\t} else if (isAuctionAtMaxCapacity()) {\n\t\t\t\t//ERROR CODE: AUCTION AT MAX CAPACITY\n\t\t\t\tSystem.out.println(\"\\nYour auction is at maximum capacity\");\n\t\t\t} \n\t\t} else {\n\t\t\tinventory = new HashMap<Item, ArrayList<Bid>>();\n\t\t\tinventory.put(theItem, new ArrayList<Bid>());\t\t\t\t\n\t\t} \t\t\t\t\t\t\n\t}", "public int addItem(Item i);", "public void add(Item item) {\r\n\t\tcatalog.add(item);\r\n\t}", "@Override\r\n\tpublic void addItem(AbstractItemAPI item) {\n\t\titems.add(item);\r\n\t\t\r\n\t}", "public void addProduct(Product item)\n {\n stock.add(item);\n }", "public void addItem() {\n\t\tScanner scanner = new Scanner(System.in);\n\t\tSystem.out.print(\"Enter Item Name: \");\n\t\tString itemName = scanner.nextLine();\n\t\tSystem.out.print(\"Enter Item Description: \");\n\t\tString itemDescription = scanner.nextLine();\n\t\tSystem.out.print(\"Enter minimum bid price for item: $\");\n\t\tdouble basePrice = scanner.nextDouble();\n\t\tLocalDate createDate = LocalDate.now();\n\t\tItem item = new Item(itemName, itemDescription, basePrice, createDate);\n\t\taddItem(item);\n\t}", "public void store(Item item) {\n this.items.add(item);\n }", "public void addItem(Item item) {\n items.add(item);\n }", "public void addItem(Item item) {\n items.add(item);\n }", "public void addItem(Item item){\r\n items.add(item);\r\n total = items.getTotal();\r\n }", "public void addItem(Carryable g) {\r\n if (numItems < MAX_CART_ITEMS)\r\n cart[numItems++] = g;\r\n }", "public void addItem( Item anItem) {\n currentItems.add(anItem);\n }", "public void addItem(Item item) {\n _items.add(item);\n }", "public void addCostItem(CostItem item) throws CostManagerException;", "void addGroceryItem(String item) {\n\n\t}", "public void addItem(Item toAdd) {\n\t\tthis.items.add(toAdd);\n\t}", "void addCpItem(ICpItem item);", "public static void addItem(BackpackItem itemName) {\n\t\t\t\n\t\t\tfor (int i = 0; i <= backpackArr.length-1; i++) { //iterate through backpackArr\n\t\t\t\t\n\t\t\t\tif (backpackArr[i] == null) { // If there is no item in slot\n\t\t\t\t\tSystem.out.println(\"You added the \" + itemName + \" to your backpack.\");\n\t\t\t\t\tbackpackArr[i] = itemName; // puts new item into next empty BackpackItem index in backpackArr\n\t\t\t\t\tbreak; // breaks out of for loop (to prevent filling up all slots with the same item\n\t\t\t\t}\n\t\t\t}\n\t\t}", "@attribute(value = \"\", required = false)\r\n\tpublic void addItem(Item i) {\r\n\t}", "public boolean add(Type item);", "public void addItem(Product p, int qty){\n //store info as an InventoryItem and add to items array\n this.items.add(new InventoryItem(p, qty));\n }", "@Override\n public void addItem(P_CK t) {\n \n }", "public void addItem(Item i) {\n this.items.add(i);\n }", "public void addItem(Item item) {\r\n\t\titems.add(item);\r\n\t}", "public boolean addPlayerItem(PlayerItem playerItem);", "public void additem(String item){\n\t\trep.takeitem(\"take \" + item);\n\t}", "public void addItem() {\r\n\t\tFacesContext fc = FacesContext.getCurrentInstance();\r\n\t\tif (itemInvoice.getQuantidade() <= itemPO.getQuantidadeSaldo()) {\r\n\t\t\tBigDecimal total = itemInvoice.getPrecoUnit().multiply(\r\n\t\t\t\t\tnew BigDecimal(itemInvoice.getQuantidade()));\r\n\t\t\titemInvoice.setTotal(total);\r\n\t\t\tif (!editarItem) {\r\n\r\n\t\t\t\tif (itemInvoice.getPrecoUnit() == null) {\r\n\t\t\t\t\titemInvoice.setPrecoUnit(new BigDecimal(0.0));\r\n\t\t\t\t}\r\n\t\t\t\tif (itemInvoice.getQuantidade() == null) {\r\n\t\t\t\t\titemInvoice.setQuantidade(0);\r\n\t\t\t\t}\r\n\t\t\t\titemInvoice.setInvoice(invoice);\r\n\r\n\t\t\t\tinvoice.getItensInvoice().add(itemInvoice);\r\n\r\n\t\t\t} else {\r\n\t\t\t\tinvoice.getItensInvoice().set(\r\n\t\t\t\t\t\tinvoice.getItensInvoice().indexOf(itemInvoice),\r\n\t\t\t\t\t\titemInvoice);\r\n\t\t\t}\r\n\t\t\tcarregarTotais();\r\n\t\t\tinicializarItemInvoice();\r\n\t\t\trequired = false;\r\n\t\t} else {\r\n\r\n\t\t\tMessages.adicionaMensagemDeInfo(TemplateMessageHelper.getMessage(\r\n\t\t\t\t\tMensagensSistema.INVOICE, \"lblQtdMaioSaldo\", fc\r\n\t\t\t\t\t\t\t.getViewRoot().getLocale()));\r\n\t\t}\r\n\t}", "public void addItem(Item item) {\n\t\titems.add(item);\n\t}", "public Item add(Item item) {\n Item existing = getItem(item.getItemId());\n if (existing != null) {\n return existing.incrementQuantity(item.getQuantity());\n }\n else {\n items.add(item.setCart(this));\n return item;\n }\n }", "public void addItem(final Item item) {\n\t\tnumberOfItems++;\n\t}", "public void addItem(Item item) {\n\t\thashOperations.put(KEY, item.getId(), item);\n\t\t//valueOperations.set(KEY + item.getId(), item);\n\t}", "public Item addItem(Item item) {\r\n uniqueCounter++;\r\n items.add(item);\r\n return item;\r\n }", "void addFruit(Fruit item){\n\t\tfruitList.add(item);\n\t}", "public void addItem(Object obj) {\n items.add(obj);\n }", "Item addItem(IDAOSession session, String title, String description,\n\t\t\tint userId);", "public void addItem(String i) {\n\t\tItem item = Item.getItem(ItemList, i);\n\t Inventory.add(item);\n\t inventoryList.getItems().add(i);\n\n\t}", "@Override\n public Optional<FridgeItemEntity> addItem(String fridgeId, String itemId, String itemType) {\n return Optional.empty();\n }", "@RequestMapping(method=RequestMethod.POST, value = \"/item/{id}\", produces = \"application/json\")\n public void addItem(@RequestBody Item itemToAdd)\n {\n this.itemRepository.addItem(itemToAdd);\n }", "protected void addInventoryItemType() {\n\t\tProperties props = new Properties();\n\n\t\t/* DEBUG\n\t\t\n\t\tSystem.out.println(typeNameTF.getText());\n\t\tSystem.out.println(unitsTF.getText());\n\t\tSystem.out.println(unitMeasureTF.getText());\n\t\tSystem.out.println(validityDaysTF.getText());\n\t\tSystem.out.println(reorderPointTF.getText());\n\t\tSystem.out.println(notesTF.getText());\n\t\tSystem.out.println(statusCB.getValue());\n\t\n\t\t/ \n\n\t\t// Set the values.\n\t\tprops.setProperty(\"ItemTypeName\", typeNameTF.getText());\n\t\tprops.setProperty(\"Units\", unitsTF.getText());\n\t\tprops.setProperty(\"UnitMeasure\", unitMeasureTF.getText());\n\t\tprops.setProperty(\"ValidityDays\", validityDaysTF.getText());\n\t\tprops.setProperty(\"ReorderPoint\", reorderPointTF.getText());\n\t\tprops.setProperty(\"Notes\", notesTF.getText());\n\t\tprops.setProperty(\"Status\", (String) statusCB.getValue());\n\n\t\t// Create the inventory item type.\n\t\tInventoryItemType iit = new InventoryItemType(props);\n\n\t\t// Save it into the database.\n\t\tiit.update();\n\n\t\tpopulateFields();\n\t\t\n\t\t// Display message on GUI.\n\t\t//submitBTN.setVisible(false);\n\t\tcancelBTN.setText(\"Back\");\n\t\tmessageLBL.setText(\"Inventory Item Type added.\");\n\t}", "public String addItem(Item item){\n EntityManager em = emf.createEntityManager();\n try{\n utx.begin();\n em.joinTransaction();\n for(Tag tag : item.getTags()) {\n tag.incrementRefCount();\n tag.getItems().add(item);\n em.merge(tag);\n }\n em.persist(item);\n utx.commit();\n // index item\n if(bDebug) System.out.println(\"\\n**Item id of new item is : \" + item.getItemID());\n indexItem(new IndexDocument(item));\n \n } catch(Exception exe){\n try {\n utx.rollback();\n } catch (Exception e) {}\n throw new RuntimeException(\"Error persisting item\", exe);\n } finally {\n em.close();\n }\n return item.getItemID();\n }", "public void addItemInventory(Item item){\r\n playerItem.add(item);\r\n System.out.println(item.getDescription() + \" was taken \");\r\n }", "public void addItem(Item e) {\n\t\tItem o = new Item(e);\n\t\titems.add(o);\n\t}", "public void addItem(Item itemToAdd){\n\t\tif(!isFull()){\n\t\t\tint index = findFreeSlot();\n\t\t\tinventoryItems[index] = itemToAdd;\n\t\t}\n\t\telse{\n\t\t\tSystem.out.println(\"Inventory full.\");\n\t\t}\n\t\t\n\t}", "public void addToSale(ItemDTO item, int quantity){\n this.saleInfo.addItem(item, quantity);\n }", "public void addItem(Item item) {\n\t\tObjects.requireNonNull(item);\n\t\titems.add(item);\n\t}", "public void addItemToCart(Item item) {\n itemList.add(item);\n this.totalTaxes = totalTaxes.add(item.getTaxes());\n this.totalPrices = totalPrices.add(item.getTtcPrice());\n }", "public void addGroceryItem(String item){\n groceryList.add(item);\n }", "public void carry(Item item)\n {\n\n // Check if item to be added doesn't go over carry limit.\n if (!((getPerson(PLAYER).getWeight() + item.getWeight()) > getPerson(PLAYER).getCarryLimit())){\n getPerson(PLAYER).getInventory().getItems().add(item); \n\n removeRoomItem(item);\n System.out.println();\n System.out.println(item.getName() + \" has been added to your bag.\");\n System.out.println(\"You are carrying \" + getPerson(PLAYER).getWeight()+ \"kg.\");\n }\n else {\n System.out.println(\"Your bag is too heavy to add more items.\");\n }\n\n }", "public void addItem(Item item) {\n inventory.add(item);\n Thread updateUserThread = userController.new UpdateUserThread(LoginActivity.USERLOGIN);\n updateUserThread.start();\n synchronized (updateUserThread) {\n try {\n updateUserThread.wait();\n } catch (InterruptedException e) {\n e.printStackTrace();\n }\n }\n }", "public void Add(String item) {\n byte[] bites = Utils.hexToBytes(item);\n mpBuffer += Utils.bytesToHex(bites);\n mLenght += bites.length;\n mBackOffset = mLenght;\n }", "public void addBasketItem(BasketItem newItem) {\n \n // If the sku already exists in the basket then update the quantity\n for(BasketItem item : basketItems) {\n if(item.getVariant().getSku().equals(newItem.getVariant().getSku())) {\n item.setQuantity(newItem.getQuantity() + item.getQuantity());\n return;\n }\n }\n \n // If the sku wasn't found above then add it to the basket\n basketItems.add(newItem);\n }", "public synchronized void addItem(IJABXAdvertisementItem item) {\n\t\tidMap.put(item.getSerialNo(), item);\n\t\titemList.add(item);\n\t}", "public boolean addItem(Item item) throws RemoteException, ClassNotFoundException, SQLException {\n Connection conn = DBConnection.getConnection();\n PreparedStatement stm = conn.prepareStatement(\"Insert into Item values(?,?,?,?)\");\n Object[] itemData = {item.getCode(), item.getDescription(), item.getUnitPrice(), item.getQtyOnHand()};\n for (int i = 0; i < itemData.length; i++) {\n stm.setObject(i + 1, itemData[i]);\n }\n return stm.executeUpdate() > 0;\n }", "public void add(CartItem cartItem){\n\t\tString book_id = cartItem.getBook().getBook_id();\n\t\tint count = cartItem.getCount();\n\t\t// if book exist in cart , change count\n\t\tif(map.containsKey(book_id)){ \n\t\t\tmap.get(book_id).setCount( map.get(book_id).getCount() + count); \n\t\t\t\t\t\n\t\t}else{\n\t\t\t// book not exist in cart, put it to map\n\t\t\tmap.put(cartItem.getBook().getBook_id(), cartItem);\n\t\t}\n\t\t\n\t}", "void addItem(DataRecord record);", "public void addItem(Item item)\n\t{\n\t\tif(inventory.size()<=9)\n\t\t\tinventory.add(item);\n\t\telse\n\t\t\tSystem.out.println(\"Inventory is full.\");\n\t}", "public void adicionar(ItemProduto item) {\n\t\titens.add(item);\n\t}", "public void addItemToInventory(Item ... items){\n this.inventory.addItems(items);\n }", "public synchronized void pdp_AddToBag() throws Exception {\n\n\t\t// Code to remove focus from zoomed image on page load\n\t\tif (!Utils.isDeviceMobile()) {\n\t\t\tActions actions = new Actions(driver);\n\t\t\tactions.moveToElement(productPrice()).build().perform();\n\t\t}\n\n\t\tutils.scrollToViewElement(driver, pdp_btn_AddToBag());\n\n\t\t// Handling Pop-Up that sometimes over shadows the ADD TO BAG button in mobile\n\t\tif (Utils.isDeviceMobile())\n\t\t\thandleBounceXOnPDP();\n\n\t\tpdp_btn_AddToBag().click();\n\t\t// Thread.sleep(3000);\n\n\t\tif (!utils.brand.equals(\"LGFP\"))\n\t\t\tAssert.assertTrue(utils.isElementPresent(driver, \"PDP_continueShopping\"),\n\t\t\t\t\t\"Item Added To Bag modal not displayed in mobile\");\n\t}", "public boolean add (E item)\n {\n add(size, item); // calling public method add\n return true;\n }", "@Override\n public void addItem(ItemType item) {\n if (curArrayIndex > items.length - 1) {\n System.out.println(item.getDetails() + \" - This bin is full. Item cannot be added!\");\n }\n else if (item.getWeight() + curWeight <= maxWeight) {\n curWeight += item.getWeight();\n items[curArrayIndex++] = item;\n }\n else {\n System.out.println(item.getDetails() + \" - Overweighted. This item cannot be added!\");\n }\n if (item.isFragile()) {\n setLabel(\"Fragile - Handle with Care\");\n }\n\n }", "@Test \n\tpublic void testAddItemToBasket() throws Exception {\n\t\tBBBRequest request = BBBRequestFactory.getInstance().createAddBasketItemRequest(BOOK_BASKET_ITEM_ISBN);\n\t\t\n\t\tString expectedUrl = AccountHelper.constructUrl(BBBRequestFactory.getInstance().getHostBasket(), PATH_MY_BASKETS_ITEMS);\n\t\tassertEquals(expectedUrl, request.getUrl());\n\t\t\n\t\tBBBResponse response = BBBRequestManager.getInstance().executeRequestSynchronously(request);\n\t\t\n\t\tif(response.getResponseCode() != HttpURLConnection.HTTP_OK) {\n\t\t\tfail(\"Error: \"+response.toString());\n\t\t}\n\t}", "public void addToShoppingCart(BarcodedItem item, int quantity) {\n\t\t\n\t\tBarcodedProduct prod = ProductDatabases.BARCODED_PRODUCT_DATABASE.get(item.getBarcode());\n\t\ttry {\n\t\t\t\n\t\t\tSHOPPING_CART_ARRAY[i][0] = prod.getDescription();\n\t\t\tSHOPPING_CART_ARRAY[i][1] = Integer.toString(quantity);\n\t\t\tBARCODEDITEM_ARRAY[i] = item;\n\t\t\tBARCODE_ARRAY[i] = prod.getBarcode();\n\t\t\tupdateTotalPayment(item, quantity);\n\t\t\t\n\t\t\ttotalNumOfItems += quantity;\n\t\t\t\n\t\t} catch (NullPointerException e) {\n\t\t\tthrow new SimulationException(e);\n\t\t}\n\t\t\n\t\ti++;\n\n\t}", "InvoiceItem addInvoiceItem(InvoiceItem invoiceItem);", "void add(T item);", "public Boolean add(Item item) {\n \tif (itemCollection.containsKey(item.getItemName())) {\r\n \tif (checkAvailability(item, 1)) {\r\n \t\titem.setQuatity(item.getQuatity() + 1);\r\n \t\titemCollection.put(item.getItemName(), item);\r\n \t\treturn true;\r\n \t} else return false;\r\n } else {\r\n \titemCollection.put(item.getItemName(), item);\r\n \treturn true;\r\n }\r\n \t\r\n }", "public void add(E item);", "public void addItemQty(int itemQty) {\n this.itemQty += itemQty;\n }", "public boolean addNewItem(VendItem item) {\n if (itemCount < maxItems) {\n stock[itemCount] = item;\n itemCount++;\n return true;\n } else {\n return false;\n }\n }", "private void addToInventory(Item item) {\n inventory.put(item.getName(), item);\n }", "public void addItemTrackBagging(Item item, boolean bool) {\n\t\tthis.purchaseList.setItemTrackBagging(item, bool);\n\t}", "public void addItem(Product p) {\n\t\t_items.add(p);\n\t}", "@Test\n\tpublic void testAddItem() throws IOException{\n\t\tModel.addItem(item, amount + \"\");\n\t\tassertEquals(amount + \"\", Model.hash.get(item));\n\t\t\n\t}", "public void addProduct(Product product);", "public void addDeliveryItem(RepositoryItem pItem) {\n mDeliveryItems.add(pItem);\n }", "public abstract void add(T item) throws RepositoryException;", "public void addItemInventory(Item item){\n playerItem.add(item);\n System.out.println(item.getDescription() + \" was taken \");\n System.out.println(item.getDescription() + \" was removed from the room\"); // add extra information to inform user that the item has been taken\n }", "public void addItem(LibraryItem item){\r\n\t\t// use add method of list.class\r\n\t\tthis.inverntory.add(item);\r\n\t}", "public void add( Order item ) {\n\t\tsuper.internalAdd(item);\n\t}", "void createItem (String name, String description, double price);", "public void addItem(int itemCollection_id, Item item) {\n\t\t// Start of user code for method addItem\n\t\t// End of user code\n\t}", "public void createItemInInventory(Item newItem) {\n\t\tinventory.createItem(newItem);\n\t}", "public boolean addItem(int itemId) {\n\t\tint nextFreeSlot = getSlotForId(1);\n\t\tif (itemId <= 0)\n\t\t\treturn false;\n\t\tif (nextFreeSlot != -1 && burdenedItems[nextFreeSlot] == 0) {\n\t\t\tburdenedItems[nextFreeSlot] = itemId;\n\t\t\treturn true;\n\t\t} else {\n\t\t\treturn false;\n\t\t}\n\t}", "void addProduct(Product product);", "public void addItem(Item item, int x, int y) {\n\t\tInventory items = getItemsAt(x, y);\n\t\titems.add(item);\n\t}", "Cart addToCart(String productCode, Long quantity, String userId);", "public boolean add(T item) {\n boolean addSuccessful = items.add(item);\n if (addSuccessful) {\n currentSize = -1.0;\n inCapacitySize = -1.0;\n }\n return addSuccessful;\n }", "void add(E item);", "void add(E item);", "void add(E item);", "public void push(Object item) {\r\n\t\tdata.add(item);\r\n\r\n\t}", "@Override\n public boolean add(E item) {\n if (item == null)\n throw new IllegalArgumentException(\"null invalid value for bag\");\n Counter count = map.get(item);\n if (count == null)\n map.put(item, new Counter(1));\n else\n count.increment();\n return true;\n }" ]	[ "0.77443147", "0.7476917", "0.741118", "0.7304897", "0.7301947", "0.7208653", "0.7145338", "0.711069", "0.70689595", "0.70415354", "0.70066804", "0.6994895", "0.6994001", "0.69925237", "0.68947107", "0.6868234", "0.6858448", "0.6858448", "0.6808602", "0.6777978", "0.67766774", "0.6771593", "0.67604685", "0.67602617", "0.67563266", "0.6751058", "0.67292494", "0.6702793", "0.6694245", "0.6680888", "0.66747963", "0.66729474", "0.66662496", "0.6662122", "0.6601787", "0.6592122", "0.6581612", "0.65757644", "0.6569161", "0.65595484", "0.65534157", "0.6546828", "0.65448356", "0.6544519", "0.6544093", "0.6540297", "0.65343934", "0.65337753", "0.6530128", "0.65255004", "0.65082103", "0.6506644", "0.650555", "0.6454956", "0.6450313", "0.6428462", "0.6428332", "0.64218205", "0.6421286", "0.64180315", "0.64129347", "0.639253", "0.63883317", "0.6377651", "0.6375535", "0.6361691", "0.63455397", "0.6338932", "0.6329493", "0.631877", "0.63136154", "0.6308527", "0.6294394", "0.6287997", "0.62835735", "0.627882", "0.6278675", "0.6277221", "0.627131", "0.6269815", "0.6269208", "0.6262854", "0.6262487", "0.62602186", "0.62559354", "0.6248413", "0.6247848", "0.6234111", "0.6228511", "0.6217847", "0.6214761", "0.6207068", "0.62019545", "0.62008566", "0.6195236", "0.61882794", "0.6182714", "0.6182714", "0.6182714", "0.6175155", "0.61736256" ]	0.0	-1
Method used for clicking on Add To Wishlist link on PDP page	public synchronized void clickOnWishList(WebDriver driver) throws Exception { utils.isElementPresent(driver, "Add_To_WishList"); try { WebElement elem = utils.findElementByLocator(driver, "Add_To_WishList", "Add To Wishlist not clicked"); elem.click(); ReporterLog.actionMsg("Add To WishList clicked"); } catch (Exception e) { CustomException.throwExceptionError(e, "PDP", "Add To WishList action failed", driver); } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void clickWishlistLink()\n\t{\n \telementUtils.performElementClick(wbWishlistLink);\n\t}", "@When(\"I click on add to compare list link\")\n public void i_click_on_add_to_compare_list_link() {\n BasePage.driverUtils.waitForWebElementToBeClickable(BasePage.htcOneMiniBluePage.getHtcOneMiniBlueAddToCompareListButton());\n BasePage.htcOneMiniBluePage.getHtcOneMiniBlueAddToCompareListButton().click();\n }", "@Then(\"I click on Add to WishList button for the Leica T Mirrorless Digital camara product.\")\n public void i_click_on_add_to_wish_list_button_for_the_leica_t_mirrorless_digital_camara_product() {\n BasePage.driverUtils.waitForWebElementToBeClickable(BasePage.leicaTMirrorlessDigitalCamPage.getLeicaTMirrorlessCamAddToWishListButton());\n BasePage.leicaTMirrorlessDigitalCamPage.getLeicaTMirrorlessCamAddToWishListButton().click();\n }", "public void adding() {\n\t\t By cr=By.xpath(\"//a[@href=\\\"/cart?add&itemId=EST-2\\\"]\"); \r\n\t\tWebElement we_cr=wt.ElementToBeClickable(cr, 20);\r\n\t\twe_cr.click();\r\n\t}", "@Test\r\n\tpublic void test_7and8_AddToList() throws Exception {\n\t\texecutor = (JavascriptExecutor) driver;\r\n\t\texecutor.executeScript(\"window.scrollTo(0, 600)\");\r\n\t\t// click on add to list button\r\n\t\tdriver.findElement(By.id(\"add-to-wishlist-button-submit\")).click();\r\n\t\tThread.sleep(3000);\r\n\r\n\t\t// get selected item \r\n\t\tWebElement element = driver.findElement(By.xpath(\"//span[@id='productTitle']\"));\r\n\t\tselectedItem = element.getText();\r\n\t\t// click on view the wish list\r\n\t\tdriver.findElement(By.cssSelector(\"span.w-button-text\")).click();\r\n\t\tThread.sleep(3000);\r\n\r\n\t\t// test 8\r\n\t\t// create an array of product titles to get items in wish list\r\n\t\t// get the product title in wish list then compare with selected item\r\n\t\tList<WebElement> productTitles = driver.findElements(By.xpath(\"//div[@id='g-items']//h5\")); \r\n\t\tfor(WebElement productTitle : productTitles) {\r\n\t\t\t// compare selected item and any item in wish list\r\n\t\t\tString listedItem = productTitle.getText(); \r\n\t\t\tif (listedItem.equals(selectedItem)) {\r\n\t\t\t\tSystem.out.println(listedItem + \" is added to wish list\");\r\n\t\t\t\tAssert.assertTrue(listedItem.equals(selectedItem));\r\n\t\t\t}\t\t\r\n\t\t}\r\n\t}", "public void clickOnPAList() {\n\t\twait.waitForElementToBeClickable(element(\"link_paListing\"));\n\t\texecuteJavascript(\"document.getElementById('pa-list').click()\");\n\t\tlogMessage(\"User clicks on PA List on left navigation bar\");\n\t}", "public void onAddByWebSitePressed( ) {\n Router.Instance().changeView(Router.Views.AddFromWebSite);\n }", "public static WebElement lnk_clickAddToBasketPdtListing() throws Exception{\r\n \ttry{\r\n \t\telement = driver.findElement(By.xpath(\"//[contains(@class, 'mt5')]\"\r\n \t\t\t\t+ \"//a[contains(text(),'Add to Basket')][position()=1]\"));\r\n \t\tAdd_Log.info(\"Add to Basket button is click on the page.\");\r\n \t\t\r\n \t}catch(Exception e){\r\n \t\tAdd_Log.error(\"Add to Basket button is NOT found on the page.\");\r\n \t\tthrow(e);\r\n \t}\r\n \treturn element;\r\n }", "public void openTheListOfGadgets(){\r\n\t\tdriver.findElement(By.xpath(\"\"+TODAY_WIN_XPATH+\"//button[contains(text(),'Add more..')]\")).click();\r\n\t\tReporter.log(\"List Of Gadgets Buttons is clicked\",true);\r\n\t}", "@Test(priority=3)\n\t\tpublic void addToWishlist() throws Exception{\n\t\t\t\n//'*******************************************************\n//Calling method to click on 'Add to Wishlist' link and verify success toast is displayed\n//'******************************************************\n\t\t\tThread.sleep(1500);\n\t\t\tgalaxyPage.clickOnAddToWishlist();\n\t\t\tThread.sleep(1500);\n\t\t\tAssert.assertTrue(galaxyPage.getSuccessMessage().contains(\"Success\"), \"Product is not added to Wishlist\");\n\t\t\textentTest.log(LogStatus.PASS,\"Success: You have added Samsung Galaxy Tab 10.1 to your wish list!\");\n//'******************************************************\n//Calling method to close the success toast\n//'******************************************************\n\t\t\tgalaxyPage.closeSuccesstoast();\n//'******************************************************\n//Calling method to click on 'Wishlist' link and check user is redirected to 'My Wishlist' page\n//'******************************************************\n\t\t\tmyWishlistPage = galaxyPage.clickOnWishlist();\n\t\t\t\n\t\t\tAssert.assertTrue(myWishlistPage.getTitle().equals(\"My Wish List\"), \"User is not redirected to wishlist page\");\n\t\t\textentTest.log(LogStatus.PASS,\"User is redirected to My Wishlist Page\");\n\t\t\t\n//'******************************************************\n//Verifying count in 'Wishlist' link is equal to number of products in the page\n//'******************************************************\n\t\t\tAssert.assertEquals(myWishlistPage.valueInWishlistLink(), myWishlistPage.numOfProductsInTable(), \"Value shown in wishlist link is different from number of records in the table\");\n\t\t\textentTest.log(LogStatus.PASS,\"Product added: Value shown in wishlist link is equal to number of records in the table\");\n\t\t\t\n\t\t\t}", "public void clickFavoritesLink()\n\t{\n \telementUtils.performElementClick(wbFavoritesLink);\n\t}", "public void clickLikeBtn() {\n likeBtn.click();\n }", "public static MozuUrl addItemToWishlistUrl(String responseFields, String wishlistId)\r\n\t{\r\n\t\tUrlFormatter formatter = new UrlFormatter(\"/api/commerce/wishlists/{wishlistId}/items?responseFields={responseFields}\");\r\n\t\tformatter.formatUrl(\"responseFields\", responseFields);\r\n\t\tformatter.formatUrl(\"wishlistId\", wishlistId);\r\n\t\treturn new MozuUrl(formatter.getResourceUrl(), MozuUrl.UrlLocation.TENANT_POD) ;\r\n\t}", "public void addWishlistItem(WishlistItem wishItem){\n fStore.collection(\"user_profiles\").document(fUser.getUid()).collection(\"wishlist\").document(wishItem.getWishID()).set(wishItem).addOnCompleteListener(new OnCompleteListener<Void>() {\n @Override\n public void onComplete(@NonNull Task<Void> task) {\n\n }\n });\n }", "@FXML\r\n\tpublic void addToShoppingCart() {\r\n\t\t\r\n\t\tWatch w = listView.getSelectionModel().getSelectedItem();\r\n\t\tboolean add = controller.addWatchToShoppingCart(w);\r\n\t\tcontroller.deleteWishlistItem(w.getId());\r\n\t\tlistView.setItems(controller.getWishlistWatchesForCurrentUser());\r\n\t\tlistView.getSelectionModel().select(-1);\r\n\t\tcheckSelected();\r\n\t}", "@Override\n\t\t\t\t\tpublic void onClick(View v) {\n\t\t\t\t\t\tif(!stock.isBookmarked()){\n\t\t\t\t\t\t\tToast.makeText(StockListActivity.this, stock.getStockCode().toString()+\" added to Watchlist \",Toast.LENGTH_SHORT).show\n\n\t();\n\t\t\t\t\t\t\tstock.setBookmarked(true);\n\t\t\t\t\t\t\taddToWatchlist(stock);\n\t\t\t\t\t\t\tiButton.setImageResource(R.drawable.bookmark_yes);\n\t\t\t\t\t\t}\n\t\t\t\t\t\telse{\n\t\t\t\t\t\t\tToast.makeText(StockListActivity.this, stock.getStockCode().toString()+\" removed from Watchlist \",Toast.LENGTH_SHORT).show();\n\t\t\t\t\t\t\tstock.setBookmarked(false);\n\t\t\t\t\t\t\tremoveFromWatchlist(stock);\n\t\t\t\t\t\t\tiButton.setImageResource(R.drawable.bookmark_no);\n\t\t\t\t\t\t}\n\t\t\t\t\t\t\n\t\t\t\t\t\t\n\t\t\t\t\t}", "public String clickWishListAndGetFavoriteHeader() throws Exception{\r\n SearchPageFactory pageFactory = new SearchPageFactory(driver);\r\n clickElement(pageFactory.leftMenuItem,Constant.explicitTime);\r\n String wishListHeader = getElementText(pageFactory.wishListHeader);\r\n return wishListHeader;\r\n }", "public void clickAddTopping(int itemIndex, ItemCart item);", "public void clickOnProceedToCheckoutButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnProceedToCheckoutButton.click();\n\n \t}", "@Override\n\t\t\tpublic void actionPerformed(ActionEvent e) {\n\t\t\t\tdispose();\n\t\t\t\tWishlistHandler.ViewWishlist(userID);\n\t\t\t}", "@Then(\"^product in shown as available\")\n public void clicks_On_Add_Button(){\n }", "@Test\n public void bookAddedToWishlistSuccessfully() throws InterruptedException {\n //WebElement Books Link\n clickOnElement(By.xpath(\"//ul[@class='top-menu notmobile']//li[5]/a\"));\n\n //WebElement Position dropdown box\n selectByIndexFromDropDown(By.cssSelector(\"select#products-orderby\"),1);\n\n //Scroll down page\n windowScrollUpOrDown(0,500);\n sleepMethod(2000);\n\n //WebElement for wishlist button\n clickOnElement(By.xpath(\"//div[@class='item-grid']//div[1]//div[1]//div[2]//div[3]//div[2]//input[3]\"));\n\n String expectedTxt = \"The product has been added to your wishlist\";\n String actualTxt = getTextFromElement(By.xpath(\"//p[@class='content']\"));\n Assert.assertEquals(expectedTxt, actualTxt);\n }", "@Override\n public void onClick(View v) {\n FavouriteDatabase fd = new FavouriteDatabase();\n fd.addToFavouritesList(catID);\n Toast.makeText(getContext(), \"Added to your Favourites\", Toast.LENGTH_SHORT).show();\n }", "@When(\"user clicks on add to cart button\")\r\n\tpublic void user_clicks_on_add_to_cart_button() {\n\t\tdriver.findElement(By.xpath(\"/html/body/section/div/div/div[2]/div/div/div/div[2]/center/a\")).click();\r\n\t}", "public void clickOnAddToCartButton()\n \t{\n \t\tproductRequirementsPageLocators.clickAddToCartButton.click();\n\n \t}", "public void clickAddButtonInStockTab(){\r\n\t\t\r\n\t\tMcsElement.getElementByXpath(driver, \"//div[contains(@class,'x-border-layout-ct') and not(contains(@class,'x-hide-display'))]//div[contains(@class,'x-panel-bbar')]//button[contains(text(),'Add..')]\").click();\r\n\t\t\r\n\t\t//McsElement.getElementByAttributeValueAndParentElement(driver, \"div\", \"@class\", \"x-panel-bbar\", \"button\", \"text()\", \"Add...\", true, true).click();\r\n\t\t\r\n\t\tReporter.log(\"Clicked on Add button in Stock Tab\", true);\r\n\t}", "public void clickOnContinueShoppingButton()\n \t{\n \t\tproductRequirementsPageLocators.clickOnContinueShoppingButton.click();\n\n \t}", "void onListClick();", "private void gotoCheckInListView() {\n }", "void issuedClick(String item);", "public static void addToWishList(String item, String messageOnFailure) {\n String wishlistCount = getText(WISHLIST_UPPER_MENU);\n System.out.println(\"Current wishlist count: \" + wishlistCount);\n\n type(SEARCH_FIELD_INPUT, item);\n click(SEARCH_ICON);\n List<WebElement> wishlistButtons = Browser.driver.findElements(ADD_TO_WISHLIST_BUTTON);\n wishlistButtons.get(0).click();\n Browser.driver.navigate().refresh();\n\n String wishlistCountAfterItemAdded = getText(WISHLIST_UPPER_MENU);\n System.out.println(\"Wishlist count after item is added: \" + wishlistCountAfterItemAdded);\n assertFalse(wishlistCountAfterItemAdded.matches(wishlistCount), messageOnFailure);\n }", "@Override\n public void onClick(View view){\n Intent goToList = new Intent(SPQ7Page.this,SPQuestionList.class );\n\n // Executes Intent object.\n startActivity(goToList);\n\n }", "public void requestWishList() {\n if (!hasInternetConnection()) {\n PromeetsDialog.show(this, getString(R.string.no_internet));\n } else {\n UserPOJO userPOJO = (UserPOJO) PromeetsUtils.getUserData(PromeetsPreferenceUtil.USER_OBJECT_KEY, UserPOJO.class);\n if (userPOJO == null) finish();\n String[] key = {Constant.USERID, Constant.PAGENUMBER};\n String[] value = {userPOJO.id + \"\", page + \"\"};\n\n PromeetsDialog.showProgress(this);\n HashMap<String, String> header = new HashMap<>();\n header.put(\"ptimestamp\", ServiceHeaderGeneratorUtil.getInstance().getPTimeStamp());\n header.put(\"promeetsT\", ServiceHeaderGeneratorUtil.getInstance().getPromeetsTHeader(Constant.FETCH_MY_WISH_LIST));\n header.put(\"accessToken\", ServiceHeaderGeneratorUtil.getInstance().getAccessToken());\n header.put(\"API_VERSION\", Utility.getVersionCode());\n new GenericServiceHandler(Constant.ServiceType.WISH_LIST, this, PromeetsUtils.buildURL(Constant.FETCH_MY_WISH_LIST, key, value), null, header, IServiceResponseHandler.GET, false, \"Please wait!\", \"Processing..\").execute();\n }\n }", "public synchronized void verifyAddToWishlistMsg(WebDriver driver) throws Exception {\n\n\t\ttry {\n\n\t\t\tString elemText = utils.findElementByLocator(driver, \"WishList_Added_Msg\",\n\t\t\t\t\t\"ADDED text not displayed after clicking on Add To Wishlist\").getText();\n\t\t\tAssert.assertEquals(elemText, \"ADDED\");\n\t\t} catch (Exception e) {\n\n\t\t\tCustomException.throwExceptionError(e, \"PDP\", \"Add To WishList Modal not displayed\", driver);\n\t\t}\n\t}", "public void clickDemandSideManagement();", "@Then(\"^click on add to basket$\")\r\n\tpublic void click_on_add_to_basket() throws Throwable {\n\t\tverbose(\"*******************************************************\");\r\n\t\tAssert.assertTrue(navigate_rsc.addbasket());\r\n\t\tverbose(\"********************************************************\");\r\n\t \r\n\t}", "public boolean verifyitemaddedtowishlist()\n\t{\n\t\tboolean s=driver.findElement(By.xpath(\"//a[@href='/black-white-diamond-heart']\")).getText().contains(\"Black & White Diamond Heart\");\n\t\treturn s;\n\t\t \n\t}", "public void ClickPlansOfferedPage() {\r\n\t\tplansoffered.click();\r\n\t\t\tLog(\"Clicked the \\\"Plans Offered\\\" button on the Birthdays page\");\r\n\t}", "@Override\n public void onClick(View view) {\n Intent playingNowIntent = new Intent(Playlists.this, Playing_now.class);\n startActivity(playingNowIntent);\n }", "public void clickOnMoreLatesBookLink() {\n\t}", "private void clickInvite(){\n WebDriverHelper.clickElement(inviteButton);\n }", "public void clickingOnGiftLink(WebDriver driver)\r\n\t {\r\n\t\t try\r\n\t\t {\r\n\t\t\t driver.manage().timeouts().implicitlyWait(10,TimeUnit.SECONDS);\r\n\t driver.findElement(By.xpath(\"//a[contains(text(),'Gift')]\")).click();\r\n\t\t\t log.info(\"Clicked on View/Edit Credits Link\");\r\n\t driver.manage().timeouts().implicitlyWait(5,TimeUnit.SECONDS); \r\n\t\t }catch(Exception e)\r\n\t\t{\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t }", "public void clickRequestQuoteLink()\n\t{\n \telementUtils.performElementClick(wbRequestQuoteLink);\n\t}", "public void clickOnEditButtonOnSavedListings() {\r\n\t\tprint(\"Click on Edit under Saved Listing Section\");\r\n\t\tlocator = Locator.MyTrader.Saved_Listing_Edit.value;\r\n\t\tclickOn(locator);\r\n\t\tAssert.assertTrue(isElementPresent(Locator.MyTrader.Your_Saved_Listing.value));\r\n\t}", "public void myorders() {\n\t\t\t\r\n\t\t\t\r\n\t\tBy my=By.xpath(\"//a[@href='/my/orders/create?form']\");\r\n\t\tWebElement We_my=wt.ElementToBeClickable(my, 20);\r\n\t\tWe_my.click();\r\n\t\t}", "@Override\n public void onClick(View view) {\n Intent recentIntent = new Intent(Playlists.this, Recent.class);\n startActivity(recentIntent);\n }", "@FXML\r\n\tpublic void deleteItem() {\r\n\t\tcontroller.deleteWishlistItem(listView.getSelectionModel().getSelectedItem().getId());\r\n\t\tlistView.setItems(controller.getWishlistWatchesForCurrentUser());\r\n\t\tlistView.getSelectionModel().select(-1);\r\n\t}", "@GET\n @Path(\"/addwl/{beerId}\")\n @Produces({MediaType.TEXT_XML, MediaType.APPLICATION_JSON , MediaType.APPLICATION_XML })\n public long addBeerToWishList( @PathParam(\"beerId\") Long beerId) {\n\t\t\n \t\n \thelper = new Helper();\n\t\tsoapService = helper.getSoapService();\n\t\tUser user = helper.getUserByUsername(username);\n Beer beer = soapService.readBeer(beerId);\n \n soapService.addBeerToUser(user, beer);\n \n System.out.println(\"beer added to wishlist...\");\n \n \treturn beerId;\n \t \t\n }", "@Override\r\n\tpublic void goToShowList() {\n\t\t\r\n\t}", "public void clickOnContinueAsGuestUserLink()\n \t{\n \t\tproductRequirementsPageLocators.continueAsGuestUserLIink.click();\n\n \t}", "public UserWhishlistPage clickRemoveButton(){\r\n\t\tclickByXpath(\"//span[@class='btn btn-sm btn-block btn-danger removewish remove_btn']\");\r\n\t\t//driver.switchTo().alert().accept();\t\t\r\n\t\treturn this;\r\n\t}", "public void acceptAndProceed()\r\n {\r\n\t driver.findElement(By.id(\"PCNChecked\")).click();\r\n\t driver.findElement(By.xpath(\"/html/body/div[1]/div/div/main/div/main/div/div/div[1]/div/div/form/fieldset/div[3]/div[2]/button\")).click();\r\n }", "@Override\n public void onClick(View view) {\n Intent hitsIntent = new Intent(Playlists.this, Playing_now.class);\n startActivity(hitsIntent);\n }", "public void clickDeleteProductandApply()throws Exception{\r\n SearchPageFactory pageFactory = new SearchPageFactory(driver);\r\n clickElement(pageFactory.wishListItemDeleteButton,Constant.explicitTime);\r\n clickElement(pageFactory.wishListItemDeleteOkButton,Constant.explicitTime);\r\n }", "private void registerClick() {\n listView = (ListView) findViewById(R.id.listViewPick);\n listView.setOnItemClickListener(new AdapterView.OnItemClickListener() {\n private AdapterView parent;\n\n @Override\n public void onItemClick(AdapterView<?> parent, View viewClicked, int position, long id) {\n this.parent = parent;\n TextView textView = (TextView) viewClicked;\n //String message = \"You clicked # \" + position + \", which is list: \" + textView.getText().toString();\n //Toast.makeText(PickExisting.this, message, Toast.LENGTH_SHORT).show();\n\n String name = textView.getText().toString();\n Product product = new Product();\n product = myDB.findProdByName(name);\n\n if (FROM.equals(\"UseList\")) {\n myDB.addListProduct(FORWARD, product);\n }else{\n myDB.addInventoryProduct(FORWARD, product);\n }\n }\n });\n }", "public void AddItemFavList( ){\r\n\r\n\t\tclass Local {};\r\n\t\tReporter.log(\"TestStepComponent\"+Local.class.getEnclosingMethod().getName());\r\n\t\tReporter.log(\"TestStepInput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepOutput:-\"+\"NA\");\r\n\t\tReporter.log(\"TestStepExpectedResult:- Favourite List Link should be clicked\");\r\n\t\ttry{\r\n\r\n\t\t\tsleep(1000);\r\n\t\t\twaitforElementVisible(returnByValue(getValue(\"FavouriteListLink\")));\r\n\t\t\tclick(returnByValue(getValue(\"FavouriteListLink\")));\r\n\t\t\twaitForPageToLoad(100);\r\n\r\n\t\t\twaitforElementVisible(locator_split(\"btnAdditemtocart\"));\r\n\t\t\tclick(locator_split(\"btnAdditemtocart\"));\r\n\t\t\twaitForPageToLoad(20);\r\n\r\n\t\t\tReporter.log(\"PASS_MESSAGE:- Favourite List and Add Item button clicked\");\r\n\t\t}\r\n\t\tcatch(Exception e){\r\n\t\t\tReporter.log(\"FAIL_MESSAGE:- FavList Link is not clicked \"+elementProperties.getProperty(\"FavouriteListLink\"));\r\n\t\t\tthrow new NoSuchElementException(\"The element with \"\r\n\t\t\t\t\t+ elementProperties.getProperty(\"FavouriteListLink\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ elementProperties.getProperty(\"btnAdditemtocart\").toString().replace(\"By.\", \" \")\r\n\t\t\t\t\t+ \" not found\");\r\n\r\n\t\t}\r\n\r\n\r\n\t}", "@Override\n public void clickPositive() {\n meetingManager.undoConfirm(chosenTrade, chosenTrader);\n Toast.makeText(this, \"Successfully undo confirm\", Toast.LENGTH_SHORT).show();\n viewList();\n\n }", "public void clickOrderHistoryLink()\n\t{\n \telementUtils.performElementClick(wbOrderHistoryLink);\n\t}", "@Override\n public void addToWatchListClick(boolean isAddedOrNot, ContentDatum contentDatum) {\n currentActivity.sendBroadcast(new Intent(AppCMSPresenter.PRESENTER_PAGE_LOADING_ACTION));\n if (isUserLoggedIn()) {\n editWatchlist(contentDatum.getGist().getId() != null ? contentDatum.getGist().getId() : contentDatum.getId(), appCMSAddToWatchlistResult -> {\n currentActivity.sendBroadcast(new Intent(AppCMSPresenter.PRESENTER_STOP_PAGE_LOADING_ACTION));\n Toast.makeText(currentContext, \"Updated Successfully :\", Toast.LENGTH_LONG);\n }, isAddedOrNot);\n } else {\n if (isAppSVOD() && isUserLoggedIn()) {\n showEntitlementDialog(AppCMSPresenter.DialogType.SUBSCRIPTION_REQUIRED, null);\n } else {\n showEntitlementDialog(AppCMSPresenter.DialogType.LOGIN_REQUIRED, null);\n }\n currentActivity.sendBroadcast(new Intent(AppCMSPresenter.PRESENTER_STOP_PAGE_LOADING_ACTION));\n }\n }", "@Override\n public void onClick(View view) {\n Intent mainlistIntent = new Intent(FavoriteActivity.this, FavoriteActivity.class);\n startActivity(mainlistIntent);\n }", "public static WebElement btn_PACrossPromotion_ClickSubscribe() throws Exception{\r\n \ttry{\r\n \t\telement = driver.findElement(By.xpath(\"//[contains(@class, 'PAList')]//a[text()='Subscribe']\"));\r\n \t\tAdd_Log.info(\"Subscribe button is click on the page.\");\r\n \t\t\r\n \t}catch(Exception e){\r\n \t\tAdd_Log.error(\"Subscribe button is NOT found on the page.\");\r\n \t\tthrow(e);\r\n \t}\r\n \treturn element;\r\n }", "public void Click_My_Favites()\r\n {\r\n driver.findElement(By.cssSelector(\"a.menuTitle\")).click(); \r\n https://www.n11.com/hesabim\r\n WaitTime(5000);\r\n \r\n driver.findElement(By.linkText(\"İstek Listelerim\")).click();\r\n \r\n WaitTime(3000);\r\n \r\n WebElement element = driver.findElement(By.cssSelector(\"h4.listItemTitle\"));\r\n String number = \"\";\r\n boolean find = false;\r\n for(int i = 0; i < element.getText().length(); ++i)\r\n {\r\n if(element.getText().charAt(i) == '(')\r\n find = true;\r\n else if(find && element.getText().charAt(i) != ')' )\r\n number += element.getText().charAt(i);\r\n }\r\n //System.out.println(\"--------------:\"+number);\r\n String alert = \"alert('\";\r\n alert += \"You have \";\r\n alert += number;\r\n alert += \" favorite products.\";\r\n alert += \"');\";\r\n \r\n //Generating Alert Using Javascript Executor\r\n if (driver instanceof JavascriptExecutor) \r\n ((JavascriptExecutor) driver).executeScript(alert);\r\n \r\n WaitTime(2000);\r\n driver.switchTo().alert().accept();\r\n driver.switchTo().defaultContent();\r\n WaitTime(2000);\r\n \r\n \r\n }", "@Override\n\t\t\t\t\t\tpublic void onClick(View v) {\n\t\t\t\t\t\t\ttry {\n\t\t\t\t\t\t\t\taddLikeRelationship(jsonArray.getJSONObject(index).getInt(\"postid\"),index);\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t} catch (JSONException e) {\n\t\t\t\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\t\t\t\te.printStackTrace();\n\t\t\t\t\t\t\t}\n\t\t\t\t\t\t}", "public void clickOnYesButton() {\r\n\t\tsafeJavaScriptClick(manageVehiclesSideBar.replace(\"Manage Vehicles\", \"Yes\"));\r\n\t}", "@Override\n public void OnItemClick(View view, int postion) {\n Intent intent = new Intent(MyPubishActivity.this, IndexDetailActivity.class);\n String entryId = String.valueOf(publishList.get(postion).getItem_id());\n intent.putExtra(\"entryId\", entryId);\n startActivity(intent);\n }", "public void AdminLink(){\n\t\tAdminLink.click();\n\t}", "public String clickWishListProductListAndGetProductHeader()throws Exception{\r\n SearchPageFactory pageFactory = new SearchPageFactory(driver);\r\n clickElement(pageFactory.openWishlistProductList,Constant.explicitTime);\r\n String wishlistProductItemHeader = getElementText(pageFactory.wishListRelatedItemHeader);\r\n return wishlistProductItemHeader;\r\n }", "public String clickLink(int _index) {\n String item_ = getItems().get(_index).getName();\n return tryRedirectIt(item_);\n// getForms().put(CST_ITEM, item_);\n// Item it_ = data_.getItem(item_);\n// return switchItem(it_);\n }", "@Override\n public void onClick(View view) {\n String name = getResources().getString(R.string.stock_shopping_list) + \": \" + productList.getName();\n StockShoppingList stockShoppingList = ((Stock)productList).generateShoppingList(name);\n StockShoppingListDao dao = new StockShoppingListDao(getDaoProductList().getBDConnection());\n if(((Stock)productList).getAssociatedListId() != -1) {\n // Si ya tiene una lista de la compra asociada la eliminamos para crear la nueva\n stockShoppingList.setID(((Stock) productList).getAssociatedListId());\n dao.remove(stockShoppingList);\n }\n int shoppingListId = dao.insert(stockShoppingList);\n\n // Actualizamos el id del stock\n ((Stock) productList).setAssociatedListId(shoppingListId);\n getDaoProductList().update((Stock)productList);\n\n // Mostramos un mensaje de exito\n Toast.makeText(getContext(),String.format(getResources().getString(R.string.info_msg_stock_shopping_list_created),name),Toast.LENGTH_LONG).show();\n }", "public void onClickLike() {\r\n\t\ttry {\r\n\t\t\tJSONObject mChannelData = mListChannelsData.getJSONObject(mCurrentPosition);\r\n\t\t\tString channelId = mChannelData.getString(ListChannelsServices.id);\r\n\t\t\tString channelName = mChannelData.getString(ListChannelsServices.name);\r\n\t\t\tif (mDatabaseDAO.checkFavouriteChannelExist(channelId)) {\r\n\t\t\t\tmDatabaseDAO.deleteFavouriteChannel(channelId);\r\n\t\t\t\t((ImageView)mActivity.findViewById(R.id.img_like)).setImageResource(R.drawable.ic_like);\r\n\t\t\t\tUtils.toast(mActivity, getString(R.string.removed_from_favourite_channel));\r\n\t\t\t} else {\r\n\t\t\t\tmDatabaseDAO.insertFavouriteChannel(channelId, \"\", mChannelData.toString());\r\n\t\t\t\t((ImageView)mActivity.findViewById(R.id.img_like)).setImageResource(R.drawable.ic_like_yes);\r\n\t\t\t\tUtils.toast(mActivity, getString(R.string.added_to_favourite_channel));\r\n\t\t\t\t\r\n\t\t\t\t// Google Analytics\r\n\t\t\t\tString action = channelName;\r\n\t\t\t\tEasyTracker.getTracker().trackEvent(NameSpace.GA_CATEGORY_MOST_LIKED_CHANNELS, action, null, 1L);\r\n\t\t\t}\r\n\t\t} catch (Exception e) {\r\n\t\t\t// TODO: handle exception\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t}", "@Override\n public void onClick(View v) {\n\n\n Intent in = new Intent(mContext, SingleItemActivity.class);\n in.putExtra(\"titleMain\", itemSubModel.getName());\n in.putExtra(\"wishListStatus\", itemSubModel.getStatusWishList());\n in.putExtra(\"productId\", itemSubModel.getId());\n mContext.startActivity(in);\n//\n\n }", "public static WebElement lnk_clickSubscribeNow() throws Exception{\r\n \ttry{\r\n \t\telement = driver.findElement(By.xpath(\"//Strong[text()='Subscribe now']\"));\r\n \t\tAdd_Log.info(\"Subscribe now hyperlink is click on the page.\");\r\n \t\t\r\n \t}catch(Exception e){\r\n \t\tAdd_Log.error(\"Subscribe now hyperlink is NOT found on the page.\");\r\n \t\tthrow(e);\r\n \t}\r\n \treturn element;\r\n }", "@Override\n public void onClick(View view) {\n Intent teacherQuestions = new Intent(context.getApplicationContext(), TeacherQuestions.class);\n teacherQuestions.putExtra(\"topicsID\", listItem.getID());\n teacherQuestions.putExtra(\"topic\", topic);\n context.getApplicationContext().startActivity(teacherQuestions);\n }", "public static WebElement lnk_clickPdtKeyword_PACrossPromotion() throws Exception{\r\n \ttry{\r\n \t\telement = driver.findElement(By.xpath(\"//[contains(@class, 'PACon_addTxt')]//a\"));\r\n \t\t\r\n \t\tWebDriverWait wait = new WebDriverWait(driver, 15);\r\n \t\twait.until(ExpectedConditions.elementToBeClickable(element));\r\n \t\t\r\n \t\tAdd_Log.info(\"Product keyword link is click on the page.\");\r\n \t\t\r\n \t}catch(Exception e){\r\n \t\tAdd_Log.error(\"Product keyword link is NOT found on the page.\");\r\n \t\tthrow(e);\r\n \t}\r\n \treturn element;\r\n }", "public void ClickConfirmationPage() {\r\n\t\tconfirmation.click();\r\n\t\t\tLog(\"Clicked the \\\"Confirmation\\\" button on the Birthdays page\");\r\n\t}", "@Override\n public void onClick(View v) {\n\n Intent in = new Intent(mContext, SingleItemActivity.class);\n in.putExtra(\"titleMain\", itemSubModel.getName());\n in.putExtra(\"wishListStatus\", itemSubModel.getStatusWishList());\n in.putExtra(\"productId\", itemSubModel.getId());\n\n mContext.startActivity(in);\n//\n }", "public synchronized WebElement pdp_btn_AddToBag() throws Exception {\n\n\t\treturn utils.findElementByLocator(driver, \"PDP_btn_AddToBag\", \"\| PDP: Add To Bag not present\");\n\t}", "public void addButton()\n\t{\n\t\tdriver.findElement(By.xpath(\"//input[@name='Insert']\")).click();\n\t}", "@Override\n public void onClick(View v) {\n\n local_bookmarkOperation(v.getContext(), bean, holder.mBookmarkButton, position);\n\n }", "private void notifyWishlists(String title) {\n\t\tfor(User u:LibrarySystem.getInstance().users) {\n\t\t\tfor(String wish:u.getWishlist()) {\n\t\t\t\tif(wish.equalsIgnoreCase(title)) {\n\t\t\t\t\tu.notify(\"An item from your wishlist had been added: \" + title + \"!\");\n\t\t\t\t\t//u.getWishlist().remove(title);\n\t\t\t\t}\n\t\t\t\t\t\n\t\t\t}\n\t\t}\n\t}", "@Override\n public void onClick(View v) {\n Intent intent = new Intent(SpecialAttentionActivity.this, AddAttentionActivity.class);\n intent.putExtra(Navigator.EXTRA_ROUTER_ID, GlobleConstant.getgDeviceId());\n intent.putExtra(\"AleadyAttentioned\", (Serializable) mAttentionList);\n startActivityForResult(intent, REQUEST_ADD_ATTENTION);\n }", "public void addGadgetToTodayTab(String text){\r\n\t\tif(isGadgetPresentListOfGadgets(text)){\r\n\t\t\tdriver.findElement(By.xpath(\"//div[@id='\"+getXWindowId(\"Add a new Gadget\")+\"']//span[contains(text(),'\"+text+\"')]\")).click();\r\n\t\t\twaitForExtJSAjaxComplete(20);\r\n\t\t\tdriver.findElement(By.xpath(\"//div[(@id='\"+getXWindowId(\"Add a new Gadget\")+\"') and contains(@style,'visibility: visible')]//button[text()='Add']\")).click();\r\n\t\t}\r\n\t}", "public void addNewItemClicked(View view) {\n// Toast.makeText(CheckboxNoteActivity.this, \"RelativeLayout Clicked Successfully\", Toast.LENGTH_SHORT).show();\n addNewListItem();\n }", "public void clickProductDetailsAddToCartBtn(){\n clickElement(productDetailsAddToCart);\n }", "public void clickWalletLink()\n\t{\n \telementUtils.performElementClick(wbWalletLink);\n\t}", "public void goBikeRentedListScreen(ActionEvent actionEvent) throws IOException {\n App.getInstance().display_BikeRentedListScreen(App.userID);\n }", "public void clickAddonLineActivity() {\r\n\t\tthis.clickAddOnlineActivity.click();\r\n\t}", "@Override\n public void onClick(View view) {\n Intent workoutIntent = new Intent(MainActivity.this, Workout_Playlist.class);\n // Start the new activity\n startActivity(workoutIntent);\n }", "public void clickonAddVehicleSideBar() {\r\n\t\tsafeClick(groupListSideBar.replace(\"Group List\", \"Vehicle List\"), SHORTWAIT);\r\n\t}", "@Override\n public void onClick(View view) {\n Intent playlistIntent = new Intent(FavoriteActivity.this, PlaylistActivity.class);\n startActivity(playlistIntent);\n }", "@Override\n public void onClick(View view) {\n Intent compilationIntent = new Intent(Playlists.this, Playing_now.class);\n startActivity(compilationIntent);\n }", "protected void goToFriendListPage() {\n\t\tIntent intent = new Intent();\n\t\tintent.setClass(this, FriendList.class);\n\t\tthis.startActivity(intent);\n\t}", "@When(\"user clicks on checkoutbutton\")\r\n\tpublic void usert_clicks_on_checkoutbutton() {\n\t\tdriver.findElement(By.xpath(\"//[@id=\\\"cart\\\"]/tfoot/tr[2]/td[5]/a\")).click();\r\n\t}", "@Override\r\n\tpublic void mouseClicked(MouseEvent e) {\n\t\tLinkLikeButton source = (LinkLikeButton) e.getSource();\r\n\t\tif(e.getClickCount()==1){\r\n\t\tif (source.getName().equals(\"TableLinkLikeButton\")) {\r\n\t\t\tif (source.getText().equals(\"Tags\") \|\| source.getText().equals(\"Ingress\") \|\| source.getText().equals(\"Egress\") \|\| source.getText().equals(\"Rules\") \|\| source.getText().equals(\"All Actions\") \|\| source.getText().equals(\"All Conditions\")\r\n\t\t\t\t\t\|\| source.getText().equals(\"Redirect\") \|\| source.getText().startsWith(\"ELBs\") \|\| source.getText().contains(\"targetgroup\") \|\| source.getText().contains(\"Method Settings\")) {\r\n\t\t\t\t// Do nothing\r\n\t\t\t} else {\r\n\t\t\t\tsource.getCustomAWSObject().showDetailesFrame(getAccount(), source.getCustomAWSObject(), jScrollableDesktopPan);\r\n\t\t\t}\r\n\t\t} else {\r\n\t\t\t\tsource.getCustomAWSObject().showDetailesFrame(getAccount(), source.getCustomAWSObject(), jScrollableDesktopPan);\r\n\t\t}\r\n\t\t}\r\n\t}", "@Override\n public void onClick(View v) {\n AddingToCartList();\n }", "private void setupPotClick() {\n ListView list = (ListView) findViewById(R.id.lv_pot_list);\n list.setOnItemClickListener(new AdapterView.OnItemClickListener() {\n @Override\n public void onItemClick(AdapterView<?> parent, View viewClicked, int position, long id) {\n TextView textView = (TextView) viewClicked;\n Intent AddCalculateServingIntent = CalculateServing.makeIntent(MainActivity.this, potList.getPot(position));\n startActivity(AddCalculateServingIntent);\n }\n });\n }", "@Override\r\n public void doAction(ActionEvent e)\r\n {\n NetworkUtil.openURL(NetworkUtil.WEBSITE_URL + \"support\");\r\n }", "public void acceptTenderButton() {\n\t\tBy elem = By.cssSelector(\"button\");\n\t\tList<WebElement> elements = driver.findElements(elem);\n\t\t\n\t\tfor (WebElement item : elements) {\n\t\t\tString test = item.getAttribute(\"innerHTML\");\n\t\t\tif (test.contains(\"ACCEPT TENDER\")) {\n\t\t\t\titem.click();\n\t\t\t}\n\t\t}\n\t}", "@Override\n public void onClick(View view) {\n PopupMenu popup = new PopupMenu(mContext, holder.tv_option_menu);\n //inflating menu from xml resource\n popup.inflate(R.menu.menu_options);\n //adding click listener\n popup.setOnMenuItemClickListener(new PopupMenu.OnMenuItemClickListener() {\n @Override\n public boolean onMenuItemClick(MenuItem item) {\n switch (item.getItemId()) {\n case R.id.menu1:\n shareStories(headlinesList.get(position).getUrl());\n return true;\n case R.id.menu2:\n //handle menu2 click\n db.insertNote(headlinesList.get(position));\n return true;\n default:\n return false;\n }\n }\n });\n //displaying the popup\n popup.show();\n\n }", "@Given(\"click {string} on List of Users\")\n public void clickOnListOfUsers(String string) {\n $(page_objects.AdminPage.InviteButton).click();\n }" ]	[ "0.79116964", "0.67868423", "0.65771383", "0.6441545", "0.626066", "0.62324935", "0.6214085", "0.6156359", "0.60850084", "0.6061444", "0.60033315", "0.6000108", "0.59769875", "0.59248066", "0.5895466", "0.5870713", "0.5870348", "0.5852182", "0.5844034", "0.58412343", "0.58397657", "0.5825191", "0.5792331", "0.57687134", "0.5761392", "0.5745199", "0.5738086", "0.5719388", "0.5703958", "0.568955", "0.5683707", "0.5658947", "0.5651219", "0.564635", "0.5635279", "0.56223845", "0.5621115", "0.562071", "0.5610436", "0.5582403", "0.55809593", "0.5550596", "0.5535608", "0.5532426", "0.5531259", "0.55285925", "0.55148435", "0.5513987", "0.55119985", "0.55040467", "0.54942864", "0.54878676", "0.5485019", "0.5476616", "0.54756993", "0.5474089", "0.5462083", "0.54596645", "0.5458992", "0.5456526", "0.5454278", "0.54486173", "0.5445958", "0.54442286", "0.54441637", "0.54436696", "0.54395366", "0.54360926", "0.5435937", "0.54321384", "0.54294235", "0.54288083", "0.5428585", "0.542399", "0.54215187", "0.54104435", "0.5383904", "0.538382", "0.5383286", "0.5380809", "0.53801614", "0.5378286", "0.53777665", "0.5369522", "0.53693324", "0.5360683", "0.53536355", "0.5331892", "0.5326015", "0.5325716", "0.53193235", "0.5317868", "0.53166616", "0.53158814", "0.53158426", "0.53130317", "0.53130203", "0.5308295", "0.53070194", "0.5306251" ]	0.7619691	1
Method used for verifying message dispayed after clicking on Add To Wishlist	public synchronized void verifyAddToWishlistMsg(WebDriver driver) throws Exception { try { String elemText = utils.findElementByLocator(driver, "WishList_Added_Msg", "ADDED text not displayed after clicking on Add To Wishlist").getText(); Assert.assertEquals(elemText, "ADDED"); } catch (Exception e) { CustomException.throwExceptionError(e, "PDP", "Add To WishList Modal not displayed", driver); } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public static void addToWishList(String item, String messageOnFailure) {\n String wishlistCount = getText(WISHLIST_UPPER_MENU);\n System.out.println(\"Current wishlist count: \" + wishlistCount);\n\n type(SEARCH_FIELD_INPUT, item);\n click(SEARCH_ICON);\n List<WebElement> wishlistButtons = Browser.driver.findElements(ADD_TO_WISHLIST_BUTTON);\n wishlistButtons.get(0).click();\n Browser.driver.navigate().refresh();\n\n String wishlistCountAfterItemAdded = getText(WISHLIST_UPPER_MENU);\n System.out.println(\"Wishlist count after item is added: \" + wishlistCountAfterItemAdded);\n assertFalse(wishlistCountAfterItemAdded.matches(wishlistCount), messageOnFailure);\n }", "public boolean verifyitemaddedtowishlist()\n\t{\n\t\tboolean s=driver.findElement(By.xpath(\"//a[@href='/black-white-diamond-heart']\")).getText().contains(\"Black & White Diamond Heart\");\n\t\treturn s;\n\t\t \n\t}", "public synchronized void clickOnWishList(WebDriver driver) throws Exception {\n\n\t\tutils.isElementPresent(driver, \"Add_To_WishList\");\n\n\t\ttry {\n\n\t\t\tWebElement elem = utils.findElementByLocator(driver, \"Add_To_WishList\", \"Add To Wishlist not clicked\");\n\t\t\telem.click();\n\t\t\tReporterLog.actionMsg(\"Add To WishList clicked\");\n\n\t\t} catch (Exception e) {\n\n\t\t\tCustomException.throwExceptionError(e, \"PDP\", \"Add To WishList action failed\", driver);\n\t\t}\n\t}", "public void clickWishlistLink()\n\t{\n \telementUtils.performElementClick(wbWishlistLink);\n\t}", "private void notifyWishlists(String title) {\n\t\tfor(User u:LibrarySystem.getInstance().users) {\n\t\t\tfor(String wish:u.getWishlist()) {\n\t\t\t\tif(wish.equalsIgnoreCase(title)) {\n\t\t\t\t\tu.notify(\"An item from your wishlist had been added: \" + title + \"!\");\n\t\t\t\t\t//u.getWishlist().remove(title);\n\t\t\t\t}\n\t\t\t\t\t\n\t\t\t}\n\t\t}\n\t}", "public boolean VerifyOrderConfirmation_ThankYouMessage() {\n\t\tboolean flag = false;\n\t\t\n\t\tflag=CommonVariables.CommonDriver.get().findElement(OrderConfirmationScreen_OR.THANKYOU_LABEL).isDisplayed();\n\t\tif(flag){extentLogs.pass(\"VerifyOrderDetails\", \"OrderConfirmationIsDisplayed\");\n\t }else{extentLogs.fail(\"VerifyOrderDetails\", \"OrderNumberLabelIsNotDisplayed\");}\n\t\t\n\t\treturn flag;\n\t}", "private void confirmationAlert() {\n\t\tAlert confirm = new Alert( AlertType.CONFIRMATION, \"You Will Not Be Able To Change Your Name\\nAfter You Press 'OK'.\");\n\t\tconfirm.setHeaderText(\"Are You Sure?\");\n confirm.setTitle(\"Confirm Name\");\n confirm.showAndWait().ifPresent(response -> {\n if (response == ButtonType.OK) {\n \tbackground.remove( pointer );\n \tkeyStrokes = keyStrokes.replace(\" \", \"-\");\n\t\t\t\tinsertNewHiScore();\n\t\t\t\tnewHighScore = false;\n }\n });\n\t}", "public void assertMsgCheck() {\r\n\t\tassertEquals(successMsg.getText().substring(0,36), \"Success: You have modified products!\");\r\n\t\tSystem.out.println(\"Asserted that the msg has been displayed: \"+ successMsg.getText().substring(0,36));\r\n\t}", "boolean isDisplayMessageOnRedeem();", "@Test(priority=3)\n\t\tpublic void addToWishlist() throws Exception{\n\t\t\t\n//'********************************************************\n//Calling method to click on 'Add to Wishlist' link and verify success toast is displayed\n//'******************************************************\n\t\t\tThread.sleep(1500);\n\t\t\tgalaxyPage.clickOnAddToWishlist();\n\t\t\tThread.sleep(1500);\n\t\t\tAssert.assertTrue(galaxyPage.getSuccessMessage().contains(\"Success\"), \"Product is not added to Wishlist\");\n\t\t\textentTest.log(LogStatus.PASS,\"Success: You have added Samsung Galaxy Tab 10.1 to your wish list!\");\n//'******************************************************\n//Calling method to close the success toast\n//'******************************************************\n\t\t\tgalaxyPage.closeSuccesstoast();\n//'******************************************************\n//Calling method to click on 'Wishlist' link and check user is redirected to 'My Wishlist' page\n//'******************************************************\n\t\t\tmyWishlistPage = galaxyPage.clickOnWishlist();\n\t\t\t\n\t\t\tAssert.assertTrue(myWishlistPage.getTitle().equals(\"My Wish List\"), \"User is not redirected to wishlist page\");\n\t\t\textentTest.log(LogStatus.PASS,\"User is redirected to My Wishlist Page\");\n\t\t\t\n//'******************************************************\n//Verifying count in 'Wishlist' link is equal to number of products in the page\n//'*******************************************************\n\t\t\tAssert.assertEquals(myWishlistPage.valueInWishlistLink(), myWishlistPage.numOfProductsInTable(), \"Value shown in wishlist link is different from number of records in the table\");\n\t\t\textentTest.log(LogStatus.PASS,\"Product added: Value shown in wishlist link is equal to number of records in the table\");\n\t\t\t\n\t\t\t}", "String getConfirmationMessage();", "public void itemOkay() \r\n\t{\n\t\t\r\n\t}", "@Override\n public void clickPositive() {\n meetingManager.undoConfirm(chosenTrade, chosenTrader);\n Toast.makeText(this, \"Successfully undo confirm\", Toast.LENGTH_SHORT).show();\n viewList();\n\n }", "public void checkAlert() {\n try {\n wait(1000);\n driver.switchTo().alert();\n driver.findElement(By.xpath(\"//[@title='No, thanks']\")).click();\n } catch (Exception e) {\n // Do nothing\n }\n }", "@When(\"^User should see Review Confirmation Message$\")\n\tpublic void user_should_see_Review_Confirmation_Message() throws Throwable {\n\t\twait.WaitForElement(reviewConfirmationPageObjects.getreviewconfirmmsg(), 70);\n\t\treviewConfirmationPageObjects.verifyreviewconfirmation();\n\t}", "@Test\n public void bookAddedToWishlistSuccessfully() throws InterruptedException {\n //WebElement Books Link\n clickOnElement(By.xpath(\"//ul[@class='top-menu notmobile']//li[5]/a\"));\n\n //WebElement Position dropdown box\n selectByIndexFromDropDown(By.cssSelector(\"select#products-orderby\"),1);\n\n //Scroll down page\n windowScrollUpOrDown(0,500);\n sleepMethod(2000);\n\n //WebElement for wishlist button\n clickOnElement(By.xpath(\"//div[@class='item-grid']//div[1]//div[1]//div[2]//div[3]//div[2]//input[3]\"));\n\n String expectedTxt = \"The product has been added to your wishlist\";\n String actualTxt = getTextFromElement(By.xpath(\"//p[@class='content']\"));\n Assert.assertEquals(expectedTxt, actualTxt);\n }", "private void handleConfirmEvent() {\n this.confirm = new Button(\"Add Food\");\n confirm.setOnAction(e2 -> {\n boolean valid = checkInputValidity();\n // if the inputs failed the validation test\n // return without calling refresh method to add a new food data\n if (valid == false)\n return;\n else\n addNewFoodItemRefresh(); // call the method to add a food item\n });\n\n }", "@Override\n public void onClick(View v) {\n\n\n Toast.makeText(MainSOSActivity.this, \"Stay Safe and Confirm the Message!\", Toast.LENGTH_SHORT).show();\n\n }", "private boolean showConfirmationMessage(String title, String body)\r\n {\r\n MyLogger.log(Level.INFO, \"Info message initiated. Info Title: {0}\", title);\r\n Alert alert = new Alert(Alert.AlertType.CONFIRMATION);\r\n Stage currentStage = (Stage) viewCoinAnchorPane.getScene().getWindow();\r\n alert.initOwner(currentStage);\r\n alert.setTitle(title);\r\n alert.setHeaderText(null);\r\n alert.setContentText(body);\r\n ButtonType buttonTypeCancel = new ButtonType(\"Cancel\", ButtonData.CANCEL_CLOSE);\r\n ButtonType buttonTypeOK = new ButtonType(\"OK\", ButtonData.OK_DONE);\r\n alert.getButtonTypes().setAll(buttonTypeCancel, buttonTypeOK);\r\n Optional<ButtonType> result = alert.showAndWait();\r\n if (result.isPresent() && result.get() == buttonTypeOK)\r\n {\r\n MyLogger.log(Level.INFO, LOG_CLASS_NAME + \"User confirmed coin action\");\r\n return true;\r\n } else if (result.isPresent() && result.get() == buttonTypeCancel)\r\n {\r\n MyLogger.log(Level.INFO, LOG_CLASS_NAME + \"User canceled coin Action\");\r\n return false;\r\n }\r\n return false;\r\n\r\n }", "@Override\n\t\t\tpublic void actionPerformed(ActionEvent e) {\n\t\t\t\tdispose();\n\t\t\t\tWishlistHandler.ViewWishlist(userID);\n\t\t\t}", "private void notifyMissedConfirmations() {\n try {\n JavaSpace05 js = SpaceUtils.getSpace();\n U1467085Bid templateBid = new U1467085Bid();\n templateBid.bidderUserName = UserSession.getInstance().username;\n //find all bids from the user\n MatchSet allMyAds = js.contents(Collections.singleton(templateBid), null, SpaceUtils.TIMEOUT, Integer.MAX_VALUE);\n boolean foundAny = false;\n for (U1467085Bid i = (U1467085Bid) allMyAds.next(); i != null; i = (U1467085Bid) allMyAds.next()) {\n try {\n //check if confirmation was written for that bid\n U1467085BidConfirmation confirmationTemplate = new U1467085BidConfirmation();\n confirmationTemplate.bidId = i.id;\n U1467085BidConfirmation confirmation = (U1467085BidConfirmation) js.readIfExists(confirmationTemplate, null, SpaceUtils.TIMEOUT);\n U1467085AdBid adTemplate = new U1467085AdBid();\n adTemplate.id = i.adId;\n U1467085AdBid ad = (U1467085AdBid) js.readIfExists(adTemplate, null, SpaceUtils.TIMEOUT);\n if (confirmation != null && ad != null && ad.verifySignature(AddressBook.getUserKey(ad.ownerUsername)) &&\n confirmation.verifySignature(AddressBook.getUserKey(ad.ownerUsername)) &&\n i.verifySignature(UserSession.getInstance().pubKey)) {\n String message = \"Your bid of \" + String.format(\"%.2f$\", (float) i.bid / 100) + \" on item: \" + ad.title + \" has won.\";\n Platform.runLater(() -> observableNotificationList.add(message));\n foundAny = true;\n SpaceUtils.cleanAdRemove(ad, 3);\n }\n } catch (Exception e) {\n e.printStackTrace();\n }\n }\n //Avoid duplicate popup notifications but showing a single notification if any confirmations\n //were found\n if (foundAny) {\n NotificationUtil.showNotification(\"Some bids won while you were away.\");\n }\n } catch (Exception e) {\n e.printStackTrace();\n }\n }", "public void verifyStaticMessageOnMiniCart() {\n String element = \"//[@id='disclaimerText']\";\n if (UtilityHelper.isNotClickable(org.openqa.selenium.By.xpath(element))) {\n UtilityHelper.waitUntilClickable(org.openqa.selenium.By.xpath(element));\n }\n WebElement staticmessage = getDriver().findElement(org.openqa.selenium.By.xpath(element));\n UtilityHelper.waitUntilClickable(staticmessage);\n Assert.assertEquals(\"Final price and discounts will be determined at pickup.\", staticmessage.getText());\n System.out.println(\"==========Static message is displayed in minicart======== \");\n }", "private int notify(Wishlist wishlist, WishlistItem watched, InventoryItem invItem) {\n\t\tif (watched.isNotified) {\n\t\t\treturn 0;\n\t\t}\n\n\t\tSystem.out.println(invItem.name + \" is in stock. Notify \" + wishlist.distributorID);\n\t\tif (notifier.notifyInStock(wishlist.notificationEmail, invItem.name)) {\n\t\t\twatched.setNotified();\n\t\t}\n\t\treturn 1;\n\t}", "@Override\n public void onOkButtonClicked() {\n\n\n String reasonMsg1 = backToOrderView.editText.getText().toString();\n reasonMsg = reasonMsg1.trim();\n\n if (reasonMsg.length() == 0) {\n Toast.makeText(getApplicationContext(), \"Please give reason...\", Toast.LENGTH_LONG).show();\n\n } else {\n\n\n // sendNotificationToUser(\"driver_cancel\");\n updateTripStatusApi(\"driver_cancel_at_pickup\", controller.pref.getTRIP_ID(), reasonMsg);\n\n\n }\n }", "private void SuccessfulBox(View v){\n \t//create an alert box with specified properties\n \tnew AlertDialog.Builder(this)\n \t.setTitle(\"Submit Successfully!\")\n \t.setMessage(\"New prescription information has been added to\" + \" \" +item)\n \t.setNeutralButton(\"ok\", null)\n \t.show();\n }", "public void proceedOnPopUp() {\n Controllers.button.click(proceedToCheckOutPopUp);\n }", "private void pleaseCheck() {\n\t\tPrimeFaces.current().executeScript(\"new PNotify({\\r\\n\" + \n\t\t\t\t\"\t\t\ttitle: 'Check this ',\\r\\n\" + \n\t\t\t\t\"\t\t\ttext: 'Please Make sure that the Passwords are the same and not empty!',\\r\\n\" + \n\t\t\t\t\"\t\t\tleft:\\\"2%\\\"\\r\\n\" + \n\t\t\t\t\"\t\t});\");\n\t\t\n\t}", "@Test\n public void basicConfirmHandlingAcceptTest(){\n\n WebElement confirmButton = driver.findElement(By.id(\"confirmexample\"));\n WebElement confirmResult = driver.findElement(By.id(\"confirmreturn\"));\n\n assertEquals(\"cret\", confirmResult.getText());\n confirmButton.click();\n\n String alertMessage = \"I am a confirm alert\";\n Alert confirmAlert = driver.switchTo().alert();\n assertEquals(alertMessage,confirmAlert.getText());\n confirmAlert.accept();\n assertEquals(\"true\", confirmResult.getText());\n }", "@Override\n\t\t\tpublic void onClick(View arg0) {\n\t\t\t\tif(messageCheck.isChecked())\n\t\t\t\tprefs.edit().putString(\"MessageText\",message.getText()+\" \").commit();\n\t\t\t\t\t\n\n\t\t\t}", "private void getAndSetConfirmMessage(ContentResponse data) {\n\t\t\t\n\t\tString message = getString(R.string.ibs_error_cannotLoadContent);\n\t\tif (data != null) {\n\t\t\tmessage = data.getContent();\n\t\t\tmDialogState.fetched = true;\n\t\t} \n\n\t\tmDialogState.message = message;\n\t\t\n\t\tFragment frag = getFragmentManager().findFragmentByTag(TAG_REMOVE_DIALOG);\n\t\tif (frag != null && frag instanceof SimpleYesNoDialog) {\n\t\t\t((SimpleYesNoDialog) frag).updateContent(message);\n\t\t}\t\t\n\t}", "public void handleNewItemConfirmAction(ActionEvent event) {\n try{\n String title = newItemTitle.getText();\n String author = newItemAuthor.getText();\n GregorianCalendar publishDate = parseDate(newItemPublishDate.getText());\n String description = newItemDescription.getText();\n if (bookType.isSelected()){\n String ISBN = newBookISBN.getText();\n String genre = newBookGenre.getText();\n if (title.length()>0 && author.length()>0 && description.length()>0 && ISBN.length()>0 && genre.length()>0){\n updateMgr.addNewBook(title, author, publishDate, description, ISBN, genre);\n this.displaySuccess(\"New Item Added\", \"New item \" + title + \" has been successfully added\");\n this.clearNewItemFields();\n }\n else{ \n displayWarning(\"Item Information incomplete\", \"Please fill in the necessary fields\");\n }\n }\n }\n catch(ArrayIndexOutOfBoundsException \| NumberFormatException e){\n displayWarning(\"Sorry\",\"Date format is wrong\\n\" + e.getMessage());\n }\n catch(Exception e){\n displayWarning(\"Sorry\",\"One of the fields is wrong:\\n\" + e.getMessage());\n }\n \n }", "public void confirmStudentUpdate(){\n\n String title =\"Confirm student information update\";\n String HeaderText = \"Confirm inserted data\";\n String ContentText = \"Are you sure you want to update this student's information?\";\n\n AlertHandler ah = new AlertHandler();\n\n if (ah.getConfirmation(title, HeaderText, ContentText) == ButtonType.OK) {\n System.out.println(\"Ok pressed\");\n updateStudent();\n } else {\n System.out.println(\"Cancel pressed\");\n }\n }", "boolean hasUserMessage();", "private void getAddButtonSemantics() {\r\n String requestingTweetID = addTweet.getidTextField().getText();\r\n String requestingTweetBody = addTweet.getBodyTextField().getText();\r\n JFrame error = new JFrame(\"Error\");\r\n\r\n if (!isNumeric(requestingTweetID) \|\| requestingTweetID.contains(\"-\")) {\r\n JOptionPane.showMessageDialog(error, \"The specified ID is not a valid number!\");\r\n } else {\r\n Tweet requestingTweet = new Tweet(requestingTweetID, requestingTweetBody);\r\n requestingTweet.setID(requestingTweetID);\r\n requestingTweet.setBody(requestingTweetBody);\r\n if (twitterModel.contains(requestingTweet)) {\r\n JOptionPane.showMessageDialog(error, \"The specified ID is not a valid number!\");\r\n } else {\r\n twitterModel.add(requestingTweet);\r\n System.out.println(\"Tweet added: \" + requestingTweet.getID() + \": \" + requestingTweet.getBody());\r\n// for (int i = 0; i < twitterModel.getTweetList().size(); i++) {\r\n// //System.out.println(Arrays.toString(twitterModel.getTweetList().toArray()));\r\n//\r\n// }\r\n System.out.println(twitterModel.getTweetList());\r\n }\r\n }\r\n }", "public void verifierSaisie(){\n boolean ok = true;\n\n // On regarde si le client a ecrit quelque chose\n if(saisieMessage.getText().trim().equals(\"\"))\n ok = false;\n\n if(ok)\n btn.setEnabled(true); //activer le bouton\n else\n btn.setEnabled(false); //griser le bouton\n }", "private boolean isMentioned(MessageReceivedEvent event) {\n Message message = event.getMessage();\n\n if (message.getContentRaw().equals(\"<@!\" + ID.SELF + \">\")) {\n message.reply(\"Hi, my prefix is `\" + Setting.PREFIX + \"`. You can also use `/help` for more info.\").queue();\n return true;\n }\n\n return false;\n }", "private void showSuccess() {\n if (binder.isValid()){\n Notification notification = Notification.show(\"Your Advert Has Been Updated \");\n notification.addThemeVariants(NotificationVariant.LUMO_SUCCESS);\n UI.getCurrent().getPage().reload();\n }\n }", "public boolean verifyMentorRequestContinue(){\n\t\treturn mentorConnectRequestObjects.almostDoneText.isDisplayed();\n\t}", "@Override\n public void onClick(View v) {\n\n\n Toast.makeText(MainSOSActivity.this, \"Stay Safe and Confirm the Message! Your emergnecy conctacts will be notified!\", Toast.LENGTH_SHORT).show();\n\n }", "public void userShouldGetMessage() {\n assertTextMessage(getTextFromElement(_emailResult), expected, \"Your message has been sent\");\n\n }", "public void verifyMessageInDialogBox(String message) {\n\t String actualMessage=getDriver().switchTo().alert().getText();\n\t if(message.equalsIgnoreCase(actualMessage)){\n\t\tAssert.assertTrue(true);\n\t }\n\t else {\n\t\tAssert.assertTrue(false);\n\t }\t\n }", "public void onConfirmFavouriteDeletion();", "@Test\r\n\tpublic void test_7and8_AddToList() throws Exception {\n\t\texecutor = (JavascriptExecutor) driver;\r\n\t\texecutor.executeScript(\"window.scrollTo(0, 600)\");\r\n\t\t// click on add to list button\r\n\t\tdriver.findElement(By.id(\"add-to-wishlist-button-submit\")).click();\r\n\t\tThread.sleep(3000);\r\n\r\n\t\t// get selected item \r\n\t\tWebElement element = driver.findElement(By.xpath(\"//span[@id='productTitle']\"));\r\n\t\tselectedItem = element.getText();\r\n\t\t// click on view the wish list\r\n\t\tdriver.findElement(By.cssSelector(\"span.w-button-text\")).click();\r\n\t\tThread.sleep(3000);\r\n\r\n\t\t// test 8\r\n\t\t// create an array of product titles to get items in wish list\r\n\t\t// get the product title in wish list then compare with selected item\r\n\t\tList<WebElement> productTitles = driver.findElements(By.xpath(\"//div[@id='g-items']//h5\")); \r\n\t\tfor(WebElement productTitle : productTitles) {\r\n\t\t\t// compare selected item and any item in wish list\r\n\t\t\tString listedItem = productTitle.getText(); \r\n\t\t\tif (listedItem.equals(selectedItem)) {\r\n\t\t\t\tSystem.out.println(listedItem + \" is added to wish list\");\r\n\t\t\t\tAssert.assertTrue(listedItem.equals(selectedItem));\r\n\t\t\t}\t\t\r\n\t\t}\r\n\t}", "private void alertMessage() {\n //remove friend confirmation dialog\n //taken from: http://www.androidhub4you.com/2012/09/alert-dialog-box-or-confirmation-box-in.html\n DialogInterface.OnClickListener dialogClickListener = new DialogInterface.OnClickListener() {\n public void onClick(DialogInterface dialog, int which) {\n switch (which) {\n case DialogInterface.BUTTON_POSITIVE:\n // Yes button clicked\n logout();\n break;\n\n case DialogInterface.BUTTON_NEGATIVE:\n // No button clicked\n // do nothing\n break;\n }\n }\n };\n\n //Show \"warning\" Dialog, if user is sure about deleting friend.\n AlertDialog.Builder builder = new AlertDialog.Builder(context);\n builder.setMessage(\"Are you sure you want to log out from this app?\")\n .setTitle(\"Logout\")\n .setPositiveButton(\"Yes\", dialogClickListener)\n .setNegativeButton(\"No\", dialogClickListener).show();\n }", "public static void message() {\r\n\t\t\r\n\t\tJOptionPane.showMessageDialog(null, \"Thanks for your participation\" + \"\\nHave a great day!\");\r\n\t\t\r\n\t\t\r\n\t}", "public void verifyForgotLinkModalWindow() {\n modalWindow.assertState().enabled();\n modalWindow.assertContains().text(\"warningLeaving the PECOS Website\");\n }", "@Override\r\n\t\tpublic boolean promptYesNo(String message) {\n\t\t\treturn true;\r\n\t\t}", "void acceptQueAnswersClicked();", "@SkipValidation\n public String makeChangesToShowMessage() {\n important = impService.getImportantNews(important.getImportantNewsId());\n if (important.isShowMessage() == false) {\n important.setShowMessage(true);\n impService.updateImportantNews(important);\n }\n return SUCCESS;\n }", "public assetDetailsPage click_YesofAlert_msg() throws InterruptedException, IOException {\r\n\t\tWebElement alrtmsg = driver.findElementByName(\"You are about to lose your changes.Do you want to continue ?\");\r\n\r\n\t\tif (IsElementVisibleStatus(alrtmsg)) {\r\n\t\t\tWebElement alrtmsg_YesBtn = driver.findElementByName(\"Yes\");\r\n\t\t\tclickOn(alrtmsg_YesBtn);\r\n\t\t\tThread.sleep(1000);\r\n\t\t\treturn new assetDetailsPage();\r\n\t\t} else {\r\n\t\t\tSystem.out.println(\"No Alert message displayed\");\r\n\t\t\treturn new assetDetailsPage();\r\n\t\t}\r\n\t}", "@Override\n public void handleMessage(Message message) {\n stopProgressDialog();\n swipeRefreshLayout.setRefreshing(false);\n switch (message.what) {\n case Flinnt.SUCCESS:\n try {\n //Helper.showToast(\"Success\", Toast.LENGTH_SHORT);\n if (LogWriter.isValidLevel(Log.INFO))\n LogWriter.write(\"SUCCESS_RESPONSE : \" + message.obj.toString());\n if (message.obj instanceof WishResponse) {\n updateCourseList((WishResponse) message.obj);\n }\n } catch (Exception e) {\n LogWriter.err(e);\n }\n\n break;\n case Flinnt.FAILURE:\n try {\n if (LogWriter.isValidLevel(Log.INFO))\n LogWriter.write(\"FAILURE_RESPONSE : \" + message.obj.toString());\n } catch (Exception e) {\n LogWriter.err(e);\n }\n\n break;\n default:\n super.handleMessage(message);\n }\n }", "public void doPositiveClick() {\n\t\t//Shows message that contact added to database. \n\t\tToast.makeText(this, \"Контакт сохранен\", Toast.LENGTH_SHORT).show();\n\t\taddRecord();\n\t}", "public void verifyAddNewRequestPopUp() {\n try {\n openAddNewRequestWindow();\n waitForVisibleElement(addNewRequestWindow, \"Add new request popup\");\n } catch (Exception e) {\n NXGReports.addStep(\"Verify add new request\", LogAs.FAILED, new CaptureScreen(CaptureScreen.ScreenshotOf.BROWSER_PAGE));\n }\n }", "boolean hasMessage();", "boolean hasMessage();", "boolean hasMessage();", "boolean hasMessage();", "boolean hasMessage();", "boolean hasMessage();", "boolean hasMessage();", "boolean hasMessage();", "public void showDeleteCourseWarning(final Context context, final String courseID, final WishListAdapter mAdapter, final WishableCourses wishableCourses) {\n\n final Handler dialogHandler = new Handler(Looper.getMainLooper()) {\n @Override\n public void handleMessage(Message message) {\n // Gets the task from the incoming Message object.\n switch (message.what) {\n case Flinnt.SUCCESS:\n stopProgressDialog();\n if (LogWriter.isValidLevel(Log.INFO))\n LogWriter.write(\"SUCCESS_RESPONSE : \" + message.obj.toString());\n mAdapter.remove(courseID);\n // Delete Item from offline database\n Helper.showToast(context.getString(R.string.successfully_deleted), Toast.LENGTH_SHORT);\n break;\n\n case Flinnt.FAILURE:\n stopProgressDialog();\n if (LogWriter.isValidLevel(Log.INFO))\n LogWriter.write(\"FAILURE_RESPONSE : \" + message.obj.toString());\n if (((WishResponse) message.obj).errorResponse != null) {\n Helper.showAlertMessage(WishlistActivity.this, \"Error\", ((WishResponse) message.obj).errorResponse.getMessage(), \"CLOSE\");\n }\n\n break;\n default:\n super.handleMessage(message);\n }\n }\n };\n\n AlertDialog.Builder alertDialogBuilder = new AlertDialog.Builder(context);\n TextView titleText = new TextView(context);\n // You Can Customise your Title here\n titleText.setText(\"Delete Wish\");\n titleText.setPadding(40, 40, 40, 0);\n titleText.setGravity(Gravity.CENTER_VERTICAL);\n titleText.setTextColor(context.getResources().getColor(R.color.ColorPrimary));\n titleText.setTextSize(20);\n titleText.setTypeface(Typeface.DEFAULT_BOLD);\n alertDialogBuilder.setCustomTitle(titleText);\n // set dialog message\n alertDialogBuilder.setMessage(R.string.want_to_delete);\n alertDialogBuilder.setPositiveButton(\"Delete\", new DialogInterface.OnClickListener() {\n public void onClick(DialogInterface dialog, int id) {\n if (Helper.isConnected()) {\n new WishList(dialogHandler, courseID, 1).sendWishListRequest();\n startProgressDialog();\n } else {\n Helper.showNetworkAlertMessage(WishlistActivity.this);\n }\n }\n });\n alertDialogBuilder.setNegativeButton(\"Cancel\", new DialogInterface.OnClickListener() {\n public void onClick(DialogInterface dialog, int id) {\n dialog.cancel();\n }\n });\n // create alert dialog\n AlertDialog alertDialog = alertDialogBuilder.create();\n // show it\n if (!Helper.isFinishingOrIsDestroyed(WishlistActivity.this)) {\n alertDialog.show();\n alertDialog.getButton(AlertDialog.BUTTON_POSITIVE).setTextColor(context.getResources().getColor(R.color.ColorPrimary));\n alertDialog.getButton(AlertDialog.BUTTON_NEGATIVE).setTextColor(context.getResources().getColor(R.color.ColorPrimary));\n }\n }", "public void welcomeMsg(){\r\n\t\tdisplay(\"*************************\");\r\n\t\tdisplay(\"Hi you and welcome on STYF!\");\r\n\t\tdisplay(\"Are you already registred(Y/N)?\");\r\n\t}", "public void addWishlistItem(WishlistItem wishItem){\n fStore.collection(\"user_profiles\").document(fUser.getUid()).collection(\"wishlist\").document(wishItem.getWishID()).set(wishItem).addOnCompleteListener(new OnCompleteListener<Void>() {\n @Override\n public void onComplete(@NonNull Task<Void> task) {\n\n }\n });\n }", "@Override\r\n\tprotected void okPressed() {\n\t\t\r\n\t\tfor(TableItem item:tv.getTable().getItems()){\r\n\t\t\tUser friend=(User) item.getData();\r\n\t\t\tTranObject<User> msg=new TranObject<User>(TranObjectType.CLIENT_TO_SEVER);\r\n\t\t\tmsg.setFromUser(user.getId());\r\n\t\t\tmsg.setToUser(friend.getId());\r\n\t\t\t//msg.setObject(user);\r\n\t\t\tmsg.setObjStr(gson.toJson(user));\r\n\t\t\tmsg.setRequest(ClientRequest.ADD_FRIEND);\r\n\t\t\tc.getWriteThread().setMsg(msg);\r\n//\t\t\tString category_name=combo.getText();\r\n//\t\t\tCategory new_category=null;\r\n//\t\t\tfor(Category category:user.getCategorys()){\r\n//\t\t\t\tif(category.getKey().equals(category_name)){\r\n//\t\t\t\t\tnew_category=category;\r\n//\t\t\t\t\tbreak;\r\n//\t\t\t\t}\r\n//\t\t\t}\r\n//\t\t\tif(new_category==null){\r\n//\t\t\t\tnew_category=new Category();\r\n//\t\t\t\tnew_category.setKey(category_name);\r\n//\t\t\t\tuser.getCategorys().add(new_category);\r\n//\t\t\t}\r\n//\t\t\tnew_category.getMembers().add(friend);\r\n\t\t\t\r\n\t\t}\r\n\t\t\r\n\t\tsuper.okPressed();\r\n\t}", "@Override\n\tpublic void confirmAndSendMessage(String messageId) {\n\t\t\n\t}", "@Override\n public void handleMessage(Message message) {\n switch (message.what) {\n case Flinnt.SUCCESS:\n stopProgressDialog();\n if (LogWriter.isValidLevel(Log.INFO))\n LogWriter.write(\"SUCCESS_RESPONSE : \" + message.obj.toString());\n mAdapter.remove(courseID);\n // Delete Item from offline database\n Helper.showToast(context.getString(R.string.successfully_deleted), Toast.LENGTH_SHORT);\n break;\n\n case Flinnt.FAILURE:\n stopProgressDialog();\n if (LogWriter.isValidLevel(Log.INFO))\n LogWriter.write(\"FAILURE_RESPONSE : \" + message.obj.toString());\n if (((WishResponse) message.obj).errorResponse != null) {\n Helper.showAlertMessage(WishlistActivity.this, \"Error\", ((WishResponse) message.obj).errorResponse.getMessage(), \"CLOSE\");\n }\n\n break;\n default:\n super.handleMessage(message);\n }\n }", "@Override\n\tprotected String showConfirmation() {\n\t\treturn \"Payment is successful. Check your credit card statement for PetSitters, Inc.\";\n\t}", "void chooseOkOnNextConfirmFor(final ContentPattern aMessagePattern) {\n message = aMessagePattern;\n result = true;\n }", "@Test\r\n\tpublic void test_9and10_DeleteItemFromWishList() throws Exception {\n\t\tdriver.findElement(By.name(\"submit.deleteItem\")).click();\r\n\t\tThread.sleep(3000);\r\n\t\t\r\n\t\t// check whether the item exists on g-items removed class\r\n\t\tboolean itemExists = false;\r\n\t\t\r\n\t\t// create an array of product titles under g-item-sortable removed\r\n\t\t// get the product title in this list and compare it with selected item\r\n\t\tList<WebElement> productTitles = driver.findElements(By.xpath(\"//div[@id='g-items']//div[@class = 'a-section a-spacing-none g-item-sortable g-item-sortable-removed']/div/div[1]\"));\r\n\t\tfor(WebElement productTitle : productTitles) {\r\n\t\t\t// compare selected item and any item in wish list\r\n\t\t\t// try to find selected item in the list of removed items\r\n\t\t\tString listedItem = productTitle.getText();\r\n\t\t\tif (listedItem.equals(selectedItem)) {\r\n\t\t\t\titemExists = true;\r\n\t\t\t\tSystem.out.println(selectedItem + \" is deleted from wish list\");\r\n\t\t\t\tAssert.assertTrue(itemExists);\t\r\n\t\t\t}\r\n\t\t}\r\n\t}", "protected boolean Confirm(String message) {\n String line = inputLine(message);\n if (line.length() == 0 \|\| line.toUpperCase().charAt(0) == 'Y') {\n return true;\n } else {\n return false;\n }\n }", "public void ValidateDuplicateMessage() {\n\t\tAssert.assertEquals(NEVERMIND_OPTION.getText(), \"Nevermind\", \"Wrong page!!!\");\n\n\t}", "private void getAndSetConfirmMessage(ContentResponse data) {\n\t\t\n\t\tString title = getString(R.string.ibs_error_sorry);\n\t\tString message = getString(R.string.ibs_error_cannotLoadContent);\n\t\tif (data != null) {\n\t\t\tmessage = data.getContent();\n\t\t\ttitle = data.getTitle();\n\t\t\tAppCache.setUpgradeDialogContent(true, title, message);\n\t\t} else {\n\t\t\tAppCache.setUpgradeDialogContent(false, title, message);\n\t\t}\n\t\t\n\t\tFragment frag = getFragmentManager().findFragmentByTag(TAG_UPGRADE_CONFIRM);\n\t\tif (frag != null && frag instanceof SimpleConfirmDialog) {\n\t\t\t((SimpleConfirmDialog) frag).updateContent(title, message);\n\t\t}\t\t\n\t}", "private void success() {\n showMessage(\"Congratulations!\", \"success\");\n }", "static void confirm_A(Messenger messenger, Response_e response)\n {\n sendToClient(messenger, Request_e.Request_A_en.valueOf(), response, null);\n }", "@Test\n\tpublic void likeTest() {\n\t\tnew WebDriverWait(driver, 15).until(\n\t\t\t ExpectedConditions.presenceOfElementLocated(By.cssSelector(\"a[onclick='tdlikecid418']\"))\n\t\t\t);//since the share throught part is load slower than the other parts, so it need wait until it diplayed then commit the test\n\t\t\n\t\t//look for the unlike button\n\t\tWebElement unlikeButton = driver.findElement(By.cssSelector(\"a[onclick*='tdlikecid418']\"));\n\t\t//click the unlike button\n\t\tunlikeButton.click();\n\t\ttry{\n\t\t\t//the unlike button should be changed back to like button\n\t\t\tassertTrue(unlikeButton.getText().equals(\"Like\"));\n\t\t} catch (NoSuchElementException nseex) {\n\t\t\tfail();\n\t\t}\n\t}", "boolean onMessageBubbleClick(EMMessage message);", "public String checkMessage() {\n\t\tString userLatestStep = questionBot.get(owner.id());\n\n\t\t//se a amensagem comeca com '/', trata-se de um item de menu sendo acionado\n\t\tif(answerUser != null && answerUser.startsWith(\"/\"))\n\t\t\tuserLatestStep = answerUser;\n\n\t\t//busca no mapa de respostas as opcoes para o usuario\n\t\tObject options = response.get(userLatestStep);\n\n\t\t//obtem a mensagem a ser devolvida para o usuario\n\t\tString result = parseResult(options, answerUser);\n\n\t\t//mantem a ultima resposta do usuario\n\t\tuserLatestAnswer.put(owner.id(), answerUser);\n\n\t\treturn result;\n\t}", "public void checkOutFlight() {\n confirmationPage.checkButton();\n }", "private void addAddressDialog() {\n AlertDialog.Builder builder = new AlertDialog.Builder(ConsumerCheckOutActivity.this);\n LayoutInflater inflater = getLayoutInflater();\n View dialogLayout = inflater.inflate(R.layout.consumer_checkout_dialogue, null);\n TextView header = dialogLayout.findViewById(R.id.header);\n TextView subHeader = dialogLayout.findViewById(R.id.subHeader);\n Button trackOrderButton = dialogLayout.findViewById(R.id.trackOrderButton);\n Button exploreFoodButton = dialogLayout.findViewById(R.id.exploreFoodButton);\n TextView okButton = dialogLayout.findViewById(R.id.okButton);\n ImageView tickIcon = dialogLayout.findViewById(R.id.tickIcon);\n header.setTypeface(poppinsBold);\n subHeader.setTypeface(poppinsLight);\n header.setTextSize(22);\n header.setText(\"Add Address\");\n subHeader.setText(\"Please add your address to deliver on time\");\n subHeader.setTextSize(16);\n tickIcon.setVisibility(View.GONE);\n okButton.setVisibility(View.VISIBLE);\n trackOrderButton.setVisibility(View.GONE);\n exploreFoodButton.setVisibility(View.GONE);\n builder.setView(dialogLayout);\n AlertDialog alertDialog = builder.create();\n okButton.setOnClickListener(new View.OnClickListener() {\n @Override\n public void onClick(View v) {\n Intent intent = new Intent(ConsumerCheckOutActivity.this, Address.class);\n intent.putExtra(\"AddorEdit\", \"Add\");\n intent.putExtra(\"emailId\", SaveSharedPreference.getLoggedInUserEmail(ConsumerCheckOutActivity.this));\n startActivityForResult(intent, 101);\n alertDialog.dismiss();\n }\n });\n alertDialog.show();\n }", "public void buyItem() {\n List<Gnome> cart = user.getCart();\n String message = \"\";\n List<Gnome> bought = shopFacade.buyGnomes(cart);\n if (!bought.isEmpty()) {\n message = bought.size() + \" items bought\";\n } else {\n message = \"Could not buy any items\";\n }\n userFacade.assignBought(user, bought);\n user.getCart().removeAll(bought);\n cart.removeAll(bought);\n userFacade.setCartToUser(user.getUsername(), cart);\n FacesMessage msg = new FacesMessage(FacesMessage.SEVERITY_INFO, \"Gnomes\", message);\n FacesContext.getCurrentInstance().addMessage(null, msg);\n }", "public void verifyDeleteRequestOnPopup() {\n getLogger().info(\"Verify to delete a request on the popup.\");\n boolean isCheckDeleteRequest = false;\n try {\n clickElement(deleteRequestBtn, \"click to deleteRequestBtn\");\n waitForClickableOfLocator(By.xpath(deleteRequestMenuStr));\n Thread.sleep(smallerTimeOut);\n sendKeyTextBox(findRequestEmpty1, \"Deleted the request\", \"send data to findRequestEmpty1\");\n isCheckDeleteRequest = clickElement(deleteRequestMenu, \"click to deleteRequestMenu\");\n if (isCheckDeleteRequest) {\n NXGReports.addStep(\"Verify to delete a request on the popup.\", LogAs.PASSED, null);\n } else {\n AbstractService.sStatusCnt++;\n NXGReports.addStep(\"Verify to delete a request on the popup.\", LogAs.FAILED,\n new CaptureScreen(CaptureScreen.ScreenshotOf.BROWSER_PAGE));\n }\n } catch (Exception ex) {\n AbstractService.sStatusCnt++;\n NXGReports.addStep(\"Verify to delete a request on the popup.\", LogAs.FAILED, new CaptureScreen(CaptureScreen.ScreenshotOf.BROWSER_PAGE));\n }\n }", "boolean isConfirmed();", "public abstract void showConfirmationBox(String message, Consumer<Boolean> resultCallback);", "public void showMessage(){\n final AlertDialog.Builder alert = new AlertDialog.Builder(context);\n alert.setMessage(message);\n alert.setTitle(title);\n alert.setPositiveButton(\"OK\", new DialogInterface.OnClickListener() {\n @Override\n public void onClick(DialogInterface dialog, int which) {\n alert.create().dismiss();\n }\n });\n alert.create().show();\n }", "@Then(\"^Validate that response contains correct information$\")\n public void validateThatResponseContainsCorrectInformation() {\n id = myResponse.then().extract().path(\"id\").toString();\n System.out.println(\"Wishlist ID is: \" + id);\n }", "public void verifyAlertText(String message) {\n\t\tboolean assertion = message.equals(uiElementAction.getTextfromAlert());\n\t\tLog.info(\"Alert message is correct : \" + assertion);\n\t\tAssert.assertTrue(\"Alert message is correct : \" + assertion, assertion);\n\t}", "public void showConfirm(String message,final String actionCommand) {\n\t\tMessagebox.show(message, new Messagebox.Button[] { Messagebox.Button.YES\n\t\t\t\t, Messagebox.Button.CANCEL }, new EventListener<Messagebox.ClickEvent>() {\n\t\t\tpublic void onEvent(ClickEvent event) throws Exception {\n\t\t\t\tif(event.getButton()==Messagebox.Button.YES){\n\t\t\t\t\tbinder.postCommand(actionCommand, null);\n\t\t\t\t}\n\t\t\t}\n\t\t});\n\t}", "public boolean visible_AlertMsg_state() {\r\n\t\tWebElement alrtmsg = driver.findElementByName(\"You are about to lose your changes.Do you want to continue ?\");\r\n\t\treturn IsElementVisibleStatus(alrtmsg);\r\n\t}", "public void message() {\n JOptionPane.showMessageDialog(null,\n \"Task was deleted successfully.\",\n \"Message\", JOptionPane.INFORMATION_MESSAGE);\n }", "public void showLooseMessage() {\n\t\tAlertDialog alert = new AlertDialog.Builder(getContext()).create();\n\t\talert.setCancelable(false);\n\n\t\talert.setMessage(\"You Loose!\");\n\t\talert.setButton(AlertDialog.BUTTON_POSITIVE, \"Replay\",\n\t\t\t\tnew DialogInterface.OnClickListener() {\n\n\t\t\t\t\t@Override\n\t\t\t\t\tpublic void onClick(DialogInterface dialog, int which) {\n\n\t\t\t\t\t}\n\n\t\t\t\t});\n\t\talert.setButton(AlertDialog.BUTTON_NEGATIVE, \"Exit\",\n\t\t\t\tnew DialogInterface.OnClickListener() {\n\n\t\t\t\t\t@Override\n\t\t\t\t\tpublic void onClick(DialogInterface dialog, int which) {\n\t\t\t\t\t\tactivity.finish();\n\t\t\t\t\t}\n\n\t\t\t\t});\n\n\t\talert.show();\n\n\t}", "public void verifyNotificationMessage(String mMessage) throws Exception {\n\n\t\t// waitForElement.waitForElement(WebData.notificationMessage);\n\t\tString confirmMessage = \"\"; //wdriver.findElement(By.xpath(WebData.notificationMessage)).getText();\n//\t\tSystem.out.println(\"confirmMessage: \" + confirmMessage);\n\t\twhile (confirmMessage == null \|\| confirmMessage.isEmpty()) {\n\t\t\tconfirmMessage = wdriver.findElement(By.xpath(WebData.notificationMessage)).getText();\n\t\t\tif (!confirmMessage.isEmpty()) {\n\t\t\t\twdriver.findElement(By.xpath(WebData.notificationClose)).click();\n\t\t\t}\n\t\t\tSystem.out.println(\"confirmMessage: \" + confirmMessage);\n\t\t}\n\t\tAssert.assertEquals(confirmMessage, mMessage);\n\t}", "@Override\n public void onClick(View view) {\n if (mAddDialog == null) {\n mAddDialog = new XPopup.Builder(MainActivity.this)\n .asInputConfirm(getString(R.string.add_random_title)\n , getString(R.string.add_random_content)\n , new OnInputConfirmListener() {\n @Override\n public void onConfirm(String text) {\n if (mAdapter != null) {\n mAdapter.addData(new BaseModel(text, 1));\n }\n }\n }).show();\n } else {\n mAddDialog.show();\n }\n }", "protected void succeed()\r\n {\r\n // inform user\r\n ((OwMainAppContext) getContext()).postMessage(getContext().localize(\"plug.owdocprops.OwFieldView.saved\", \"The changes have been applied.\"));\r\n }", "public boolean getUserConfirmation() {\n Alert alert = new Alert(Alert.AlertType.CONFIRMATION);\n alert.setTitle(\"Confirmation Box\");\n alert.setHeaderText(\"Are you sure you want to delete?\");\n alert.setResizable(false);\n Optional<ButtonType> result = alert.showAndWait();\n ButtonType button = result.orElse(ButtonType.CANCEL);\n\n if (button == ButtonType.OK) {\n return true;\n } else {\n return false;\n }\n }", "private void displaySaveSuccess() {\n\t\tString title = \"Event successfully save...\";\n\t\tString msg =\n\t\t\t\t\"To Do List: \" +txtSubject.getText()+ \n\t\t\t\t\"\\nhas been save....\";\n\t\tJOptionPane.showMessageDialog(\n\t\t\t\tnull, msg, title, JOptionPane.INFORMATION_MESSAGE);\n\t}", "public void thankYou()\n {\n onSales = false;\n clearScreen();\n showText(\"Thank you!\", getHeight()/2, getWidth()/2);\n Greenfoot.stop();\n }", "@Override\n\t\tpublic void processing(Bundle msgData) {\n\t\t\tif (msgData.containsKey(actionLsr.CHECKACTION)) {\n\t\t\t\tprgDialog.showMsg(msgData.getString(actionLsr.CHECKACTION));\n\t\t\t}\n\t\t}", "public void onYesButtonClicked() {\n changeAfterClientPick();\n }", "private void jButtonMessageActionPerformed(ActionEvent e)\n {\n \tif(bSupMessage)\n \t bSupMessage=false;\n \telse\n \t bSupMessage=true;\n \t\n \t\n }" ]	[ "0.65972954", "0.6502615", "0.62514544", "0.6178751", "0.6109131", "0.6097167", "0.6062681", "0.5986766", "0.5975239", "0.5917909", "0.5911904", "0.59076184", "0.58921534", "0.587656", "0.58625543", "0.58599085", "0.58440393", "0.5809302", "0.57944006", "0.57893354", "0.5764263", "0.5735006", "0.5730986", "0.5729882", "0.5720499", "0.5707379", "0.5667444", "0.56650203", "0.5665017", "0.5640508", "0.56331325", "0.56227183", "0.561547", "0.5613793", "0.5607391", "0.55916405", "0.5573743", "0.55684173", "0.55600715", "0.55581975", "0.55289865", "0.5522757", "0.5521368", "0.5519229", "0.5513702", "0.5503731", "0.55025053", "0.5474906", "0.5463722", "0.5459433", "0.54591656", "0.5448201", "0.54448324", "0.543837", "0.543837", "0.543837", "0.543837", "0.543837", "0.543837", "0.543837", "0.543837", "0.54358757", "0.5428945", "0.54259366", "0.5419023", "0.54095626", "0.54073757", "0.5407038", "0.53985476", "0.5393963", "0.5392415", "0.5391345", "0.5375756", "0.53746927", "0.5370658", "0.53612506", "0.5360936", "0.53598046", "0.5359772", "0.5359518", "0.5358701", "0.5338247", "0.53294617", "0.5329415", "0.5328728", "0.53273296", "0.5326935", "0.5326682", "0.5324154", "0.53201056", "0.5319283", "0.53180486", "0.53080755", "0.53065795", "0.53057617", "0.5301255", "0.52988183", "0.52937853", "0.5280112", "0.52782786" ]	0.73372513	0
/ Buffer to hold your errors	public synchronized void verifyMayWeSuggestSection(WebDriver driver) throws Exception, InterruptedException, AssertionError, IOException { StringBuffer errorBuffer = new StringBuffer(); // Verification : May We Suggest section on PDP try { Assert.assertTrue(utils.isElementPresent(driver, "PDPRVSection", "People like you also viewed : Section not showing up on PDP")); Reporter.log( Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : section showing up on PDP"); } catch (AssertionError e) { errorBuffer.append(e.getMessage() + "\n"); } // Verification : May We Suggest Header try { Assert.assertTrue(utils.isElementPresent(driver, "PDPRVHeader", "People like you also viewed : Header not showing up on PDP")); Reporter.log( Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : Header showing up on PDP"); } catch (AssertionError e) { errorBuffer.append(e.getMessage() + "\n"); } // Verification : People like you also viewed : Product Image try { if (Utils.brand.equals("ATFP")) { Assert.assertTrue(utils.isElementPresent(driver, "AT_PDPRVProductImage", "People like you also viewed : Product Image not showing up on PDP")); Reporter.log(Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : Product Image showing up on PDP"); } else if (Utils.brand.equals("LOFP")) { Assert.assertTrue(utils.isElementPresent(driver, "LO_PDPRVProductImage", "People like you also viewed : Product Image not showing up on PDP")); Reporter.log(Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : Product Image showing up on PDP"); } else { Assert.assertTrue(utils.isElementPresent(driver, "PDPRVProductImage", "People like you also viewed : Product Image not showing up on PDP")); Reporter.log(Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : Product Image showing up on PDP"); } } catch (AssertionError e) { errorBuffer.append(e.getMessage() + "\n"); } // Verification : People like you also viewed : Product Price try { if (Utils.brand.equals("ATFP")) { Assert.assertTrue(utils.isElementPresent(driver, "AT_PDPRVProductPrice", "People like you also viewed : Product Price not showing up for People like you also viewed")); Reporter.log(Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : Product Price showing up for People like you also viewed"); } else if (Utils.brand.equals("LOFP")) { Assert.assertTrue(utils.isElementPresent(driver, "LO_PDPRVProductPrice", "People like you also viewed : Product Price not showing up for People like you also viewed")); Reporter.log(Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : Product Price showing up for People like you also viewed"); } else { Assert.assertTrue(utils.isElementPresent(driver, "PDPRVProductPrice", "People like you also viewed : Product Price not showing up for People like you also viewed")); Reporter.log(Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : Product Price showing up for People like you also viewed"); } } catch (AssertionError e) { errorBuffer.append(e.getMessage() + "\n"); } // Verification : People like you also viewed : Product Name try { if (Utils.brand.equals("ATFP")) { Assert.assertTrue(utils.isElementPresent(driver, "AT_PDPRVProductName", "People like you also viewed : Product Name not showing up for People like you also viewed")); Reporter.log(Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : Product Name showing up for People like you also viewed"); } else if (Utils.brand.equals("LOFP")) { Assert.assertTrue(utils.isElementPresent(driver, "LO_PDPRVProductName", "People like you also viewed : Product Name not showing up for People like you also viewed")); Reporter.log(Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : Product Name showing up for People like you also viewed"); } else { Assert.assertTrue(utils.isElementPresent(driver, "PDPRVProductName", "People like you also viewed : Product Name not showing up for People like you also viewed")); Reporter.log(Constants.DELIMITER + Constants.PASS + "\| People like you also viewed : Product Name showing up for People like you also viewed"); } } catch (AssertionError e) { errorBuffer.append(e.getMessage() + "\n"); } // Verification : People like you also viewed : Product Image // redirecting to PDP try { if (Utils.brand.equals("ATFP")) { WebElement elProduct = utils.findElementByLocator(driver, "AT_PDPRVProductImage", "\| May We Suggest \| Product Image "); elProduct.click(); } else if (Utils.brand.equals("LOFP")) { WebElement e2Product = utils.findElementByLocator(driver, "LO_PDPRVProductImage", "\| May We Suggest \| Product Image "); e2Product.click(); } else { WebElement e3Product = utils.findElementByLocator(driver, "PDPRVProductImage", "\| May We Suggest \| Product Image "); e3Product.click(); } Utils.waitForPageLoaded(driver); addToBag(driver, 0, 0); Utils.waitForPageLoaded(driver); } catch (AssertionError e) { Reporter.log(Constants.DELIMITER + Constants.FAIL + "\| People like you also viewed : Product Image not redirecting to PDP"); errorBuffer.append(e.getMessage() + "\n"); } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "protected abstract void error(String err);", "java.lang.String getErr();", "public void error();", "void err( Object msg );", "protodef.b_error.info getError();", "protodef.b_error.info getError();", "void setError();", "public void sendErr() {\n Datagram errDatagram = makeFIN(datagram);\n PayLoad payLoad = (PayLoad) (errDatagram.getData());\n payLoad.setERR(true);\n payLoad.setActualData(\"File not found on server.\".getBytes());\n errDatagram.setChecksum(CheckSumService.generateCheckSum(errDatagram));\n\n try {\n ttpService.sendDatagram(errDatagram);\n } catch (IOException i) {\n i.printStackTrace();\n }\n System.out.println(\"TTPServer: ERR datagram sent to client.\");\n if (connections.containsKey(curKey)) {\n ttpService.closeConnection(connections, curKey);\n }\n System.out.println(\"TTPServer: Connection with client closed\");\n }", "public void correctErrors();", "private void sendOldError(Exception e) {\n }", "boolean documentFreeOfErrors();", "public void sendError()\n {\n \tString resultText = Integer.toString(stdID);\n \tresultText += \": \";\n\t\tfor(int i = 0; i<registeredCourses.size();i++)\n\t\t{\n\t\t\tresultText += registeredCourses.get(i);\n\t\t\tresultText += \" \";\n\t\t}\n\t\tresultText += \"--\";\n\t\tresultText += \" \";\n\t\tresultText += Integer.toString(semesterNum);\n\t\tresultText += \" \";\n\t\tresultText += Integer.toString(0); \n\t\tresultText += \" \";\n\t\tprintResults.writeResult(resultText);\n \tSystem.exit(1);\n }", "private void error() {\n this.error = true;\n this.clients[0].error();\n this.clients[1].error();\n }", "java.lang.String getError();", "java.lang.String getError();", "java.lang.String getError();", "com.google.protobuf.ByteString\n getErrBytes();", "XfvhdlAntecedentMemFiles() {\r\n \t error = new XfvhdlError();\r\n \t }", "public void setErrors(int err) {\n errors = err;\n }", "@Override\n\t\t\t\t\t\t\tpublic void error(Exception e) {\n\t\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t}", "@Override\n\tpublic void error(Marker marker, Message msg) {\n\n\t}", "java.util.List<WorldUps.UErr> \n getErrorList();", "protected void serverError() throws IOException {\n cleanup();\n throw new IOException(\"Recieved error message from server:\\n\" + new String(_text_buffer));\n }", "public void onReceivedError();", "public void makeErrors() {\n Random rnd = new Random();\n String charset = \"0123456789ABCDEFGHIJKLMNOPQRSTUVWXYZ abcdefghijklmnopqrstuvwxyz\";\n for (int i = 0; i < message.length(); i += 3) {\n message.setCharAt(i + rnd.nextInt(3),\n charset.charAt(rnd.nextInt(charset.length())));\n }\n }", "private void correctError()\r\n\t{\r\n\t\t\r\n\t}", "@Override\n\tpublic void getError() {\n System.err.println(\"8877挂掉了\");\n\t}", "public void errorWhenCommitting();", "String getErrorsString();", "private void sendError() throws IOException {\n System.out.println(\"Error Message\");\n DataOutputStream dos = new DataOutputStream(os);\n dos.writeInt(1);\n dos.writeByte(Message.MSG_ERROR_STATUS);\n }", "Object getFailonerror();", "Object getFailonerror();", "@Override\r\n\tpublic void onError(String err) {\n\t\t\r\n\t}", "abstract void error(String error);", "@Override\n\tpublic void error(Message msg) {\n\n\t}", "@Override\n\tpublic void error(Marker marker, String message, Object p0) {\n\n\t}", "@Override\n public void sendError(int arg0) throws IOException {\n\n }", "@Override\n\tpublic void addError(String hdr, String msg) {\n\t\terrors.put(hdr, msg);\n\t}", "@Override\n public void clearError() {\n\n }", "@Override\n\tpublic void error(Marker marker, CharSequence message) {\n\n\t}", "@Override\n\tpublic void error(CharSequence message) {\n\n\t}", "@Override\n\tpublic void error(Marker marker, Object message) {\n\n\t}", "private void showErrors() {\n \t\tfor (Iterator it = this.errors.iterator(); it.hasNext();) {\n \t\t\ttry {\n \t\t\t\tObject err = it.next();\n \t\t\t\t\n \t\t\t\t/* errors can be represented by PositionedError, UnpositionedError or String /\n \t\t\t\tif (err instanceof PositionedError) {\n \t\t\t\t\tPositionedError error = (PositionedError)err;\n \t\t\t\t\tTokenReference token = error.getTokenReference();\n \t\n \t\t\t\t log.debug(\"file: \" + token.getFile() + \", \" + \"line: \" //$NON-NLS-1$ //$NON-NLS-2$ //$NON-NLS-3$\n \t\t\t\t\t\t\t+ token.getLine() + \", \" + \"path: \" //$NON-NLS-1$//$NON-NLS-2$\n \t\t\t\t\t\t\t+ token.getPath());\n \n \t\t\t\t\tIResource resource = ProjectProperties.findResource(token\n \t\t\t\t\t\t\t.getPath().getAbsolutePath(), currentProject);\n \t\t\t\t\t\n \t\t\t\t\tIMarker marker = null;\n \t\t\t\t\tif (resource != null) {\n \t\t\t\t\t\tmarker = resource.createMarker(IMarker.PROBLEM);\n \t\t\t\t\t\tif (token.getLine() > 0) {\n \t\t\t\t\t\t\tmarker.setAttribute(IMarker.LINE_NUMBER, token.getLine());\n \t\t\t\t\t\t}\n \t\t\t\t\t}\n \t\t\t\t\telse {\n \t\t\t\t\t\t// for the cases, when error refers to a generated piece of code\n \t\t\t\t\t\tmarker = currentProject.createMarker(IMarker.PROBLEM);\n \t\t\t\t\t}\n \t\t\t\t\tmarker.setAttribute(IMarker.MESSAGE, error\n \t\t\t\t\t\t\t.getFormattedMessage().getMessage());\n \t\t\t\t\tmarker.setAttribute(IMarker.SEVERITY, new Integer(\n \t\t\t\t\t\t\tIMarker.SEVERITY_ERROR));\n \t\t\t\t}\n \t\t\t\telse { / create unpositioned error at the scope of the project */\t\t\t\t\t\n \t\t\t\t\tString msg;\n \t\t\t\t\tif (err instanceof UnpositionedError) {\n \t\t\t\t\t\tmsg = ((UnpositionedError)err).getFormattedMessage().getMessage();\n \t\t\t\t\t}\n \t\t\t\t\telse {\n \t\t\t\t\t\tmsg = (String)err; // for internal errors\n \t\t\t\t\t}\n \t\t\t\t\t\n \t\t\t\t\tIMarker marker = currentProject.createMarker(IMarker.PROBLEM);\n \t\t\t\t\tmarker.setAttribute(IMarker.MESSAGE, msg);\n \t\t\t\t\tmarker.setAttribute(IMarker.SEVERITY, new Integer(IMarker.SEVERITY_ERROR));\n \t\t\t\t}\n \t\t\t} \n \t\t\tcatch (Exception e) {\n\t\t\t\te.printStackTrace();\n \t\t\t}\n \t\t}\n \t}", "void drawError(String message);", "public String error();", "public G_DocumentError() {}", "private void error(String string) {\n\t\r\n}", "public com.google.protobuf.ByteString\n getErrBytes() {\n java.lang.Object ref = err_;\n if (ref instanceof String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n err_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }", "@Override\n public void onError() {\n\n }", "private void err(Messenger replyTo, int encoderId, Bundle info) {\n\n // obtain new message\n Message message = obtainMessage(Geotracer.MESSAGE_TYPE_ERROR, encoderId, 0);\n message.setData(info);\n\n // send response\n send(replyTo, message);\n }", "@Override\n\t\t\t\t\tpublic void onErrorData(String status_description) {\n\n\t\t\t\t\t}", "public void sendError(int i, String s) throws IOException {\n\t\t\n\t}", "@Override\n\tpublic void error(Marker marker, String message) {\n\n\t}", "@Override\n\t\t\tpublic void onError(int i, String s) {\n\t\t\t\t\n\t\t\t}", "@Override\n\t\t\tpublic void onError(int i, String s) {\n\t\t\t\t\n\t\t\t}", "@Override\n public void sendError(int arg0, String arg1) throws IOException {\n\n }", "@Override\n\tpublic void error(CharSequence message, Throwable t) {\n\n\t}", "public abstract void errWrite(final String msg);", "@Override\n\tpublic void error(Marker marker, Message msg, Throwable t) {\n\n\t}", "private void error(String message) {\n errors++;\n System.err.println(\"Line \" + token.line + \",\"\n + \" Col \" + token.col + \": \"\n + message);\n }", "public void inquiryError() {\n\t\t\n\t}", "java.lang.String getErrmsg();", "@Override\n\tpublic void error(Marker marker, CharSequence message, Throwable t) {\n\n\t}", "@Override\n\tpublic void error(Object message) {\n\n\t}", "public void sendError(int i) throws IOException {\n\t\t\n\t}", "@Override\n\tpublic void adjustToError() {\n\t\t\n\t}", "public void error(Exception e);", "@Override\n\tpublic void error(Marker marker, MessageSupplier msgSupplier) {\n\n\t}", "private void parseError(String s) throws FSException {\n\n // set up our error block\n error=new String[6];\n error[0]=s;\n error[1]=(new Integer(code.getCurLine())).toString();\n error[2]=code.getLineAsString();\n error[3]=tok.toString();;\n error[4]=vars.toString();\n if (gVars!=null) error[5]=(gVars==null)?\"\":gVars.toString();\n\n // build the display string\n s=\"\\n\\t\"+s+\"\\n\"+getContext();\n\n throw new FSException(s);\n }", "public void cleanErrorMessages() {\r\n\r\n }", "@Override\n\tpublic void error(Marker marker, String message, Object p0, Object p1) {\n\n\t}", "com.google.protobuf.ByteString\n getErrorBytes();", "public String getError() throws IOException {\n String line = \"\";\n StringBuffer buffer = new StringBuffer();\n BufferedReader in = new BufferedReader(new InputStreamReader(\n httpConnection.getErrorStream()));\n while ((line = in.readLine()) != null) {\n buffer.append(line + \"\\n\");\n }\n in.close();\n return buffer.toString();\n }", "public void error(String string) {\n\t\t\n\t}", "@Override\r\n\t\t\tpublic void onErrorResponse(String errorMessage) {\n\r\n\t\t\t}", "@Override\n\tpublic void error(Marker marker, Object message, Throwable t) {\n\n\t}", "@Override\n public void onError(int code, String msg) {\n }", "private void zzScanError(int errorCode) {\r\n String message;\r\n try {\r\n message = ZZ_ERROR_MSG[errorCode];\r\n }\r\n catch (ArrayIndexOutOfBoundsException e) {\r\n message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];\r\n }\r\n\r\n throw new Error(message);\r\n }", "private void zzScanError(int errorCode) {\r\n String message;\r\n try {\r\n message = ZZ_ERROR_MSG[errorCode];\r\n }\r\n catch (ArrayIndexOutOfBoundsException e) {\r\n message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];\r\n }\r\n\r\n throw new Error(message);\r\n }", "private void zzScanError(int errorCode) {\r\n String message;\r\n try {\r\n message = ZZ_ERROR_MSG[errorCode];\r\n }\r\n catch (ArrayIndexOutOfBoundsException e) {\r\n message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];\r\n }\r\n\r\n throw new Error(message);\r\n }", "private void zzScanError(int errorCode) {\r\n String message;\r\n try {\r\n message = ZZ_ERROR_MSG[errorCode];\r\n }\r\n catch (ArrayIndexOutOfBoundsException e) {\r\n message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];\r\n }\r\n\r\n throw new Error(message);\r\n }", "private void zzScanError(int errorCode) {\r\n String message;\r\n try {\r\n message = ZZ_ERROR_MSG[errorCode];\r\n }\r\n catch (ArrayIndexOutOfBoundsException e) {\r\n message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];\r\n }\r\n\r\n throw new Error(message);\r\n }", "java.lang.String getErrorInfo();", "java.lang.String getErrorInfo();", "java.lang.String getErrorInfo();", "java.lang.String getErrorInfo();", "@Override\n\tpublic void error(String message, Object p0) {\n\n\t}", "public static void checkErrorCode(byte[] buffer)throws TopicException{\n byte curr = buffer[1];\n StringBuilder string = new StringBuilder();\n for(int i = 7; i > -1; i--){\n string.append(getMybit(curr, i));\n }\n\n int val = Integer.parseInt(String.valueOf(string), Constants.TWO);\n if(0 != val){\n throw new TopicException(ErrorCode.UNEXPECTEDERRORCODE);\n }\n }", "@Override\n\tpublic void error(Marker marker, String message, Object... params) {\n\n\t}", "protected void reply_error(String message) {\n try {\n byte[] err = PushCacheProtocol.instance().errorPacket(message);\n _socket.getOutputStream().write(err, 0, err.length);\n } catch (Exception e) {\n e.printStackTrace();\n }\n }", "private void zzScanError(int errorCode) {\n String message;\n try {\n message = ZZ_ERROR_MSG[errorCode];\n } catch (ArrayIndexOutOfBoundsException e) {\n message = ZZ_ERROR_MSG[ZZ_UNKNOWN_ERROR];\n }\n\n throw new Error(message);\n }", "public void Error(){\n }", "@Override\n\tpublic void error(Marker marker, String message, Object p0, Object p1, Object p2, Object p3,\n\t\t\tObject p4, Object p5, Object p6, Object p7, Object p8, Object p9) {\n\n\t}", "private <RT> String CompileErrorsFromResult(PlayFabErrors.PlayFabResult<RT> result)\n {\n if (result == null \|\| result.Error == null)\n {\n return null;\n }\n\n String errorMessage = \"\";\n if (result.Error.errorMessage != null)\n {\n errorMessage += result.Error.errorMessage;\n }\n if (result.Error.errorDetails != null)\n {\n for (Map.Entry<String, List<String>> pair : result.Error.errorDetails.entrySet())\n {\n for (String msg : pair.getValue())\n {\n errorMessage += \"\\n\" + pair.getKey() + \": \" + msg;\n }\n }\n }\n return errorMessage;\n }", "public com.google.protobuf.ByteString\n getErrBytes() {\n java.lang.Object ref = err_;\n if (ref instanceof java.lang.String) {\n com.google.protobuf.ByteString b = \n com.google.protobuf.ByteString.copyFromUtf8(\n (java.lang.String) ref);\n err_ = b;\n return b;\n } else {\n return (com.google.protobuf.ByteString) ref;\n }\n }", "protected void finalizeSystemErr() {}", "@Override\n\tpublic void error(Marker marker, String message, Object p0, Object p1, Object p2) {\n\n\t}", "public void error(String message);", "void errorResponse( String error );", "@Override\n\tpublic void error(Marker marker, String message, Object p0, Object p1, Object p2, Object p3) {\n\n\t}", "abstract void error(String error, Exception[] exceptions);" ]	[ "0.65158904", "0.63976765", "0.6351131", "0.6222045", "0.61625147", "0.61625147", "0.6110899", "0.60891163", "0.6079508", "0.6073935", "0.60643935", "0.6009456", "0.60080785", "0.5986833", "0.5986833", "0.5986833", "0.5984108", "0.59825855", "0.5980603", "0.59801656", "0.5962803", "0.5955283", "0.59400374", "0.59042585", "0.5886924", "0.5875049", "0.5867328", "0.5861509", "0.5860536", "0.5851582", "0.58504283", "0.58504283", "0.58355826", "0.5835179", "0.58198583", "0.58166146", "0.58132833", "0.58080596", "0.5804833", "0.58040893", "0.5797905", "0.5791703", "0.57861733", "0.57711786", "0.57619166", "0.5748227", "0.57394415", "0.5737019", "0.5723974", "0.57131237", "0.57099545", "0.5707368", "0.5703915", "0.56987387", "0.56987387", "0.56913334", "0.56846523", "0.56829214", "0.56815773", "0.56809795", "0.56729436", "0.5660547", "0.565696", "0.5651003", "0.5650475", "0.56483215", "0.5646581", "0.5641359", "0.5640084", "0.5639837", "0.5636173", "0.56316185", "0.56243014", "0.5617719", "0.56077176", "0.56014156", "0.559923", "0.55983436", "0.55983436", "0.55983436", "0.55983436", "0.55983436", "0.5595338", "0.5595338", "0.5595338", "0.5595338", "0.55881995", "0.55881983", "0.55865246", "0.5583245", "0.5581276", "0.55763394", "0.5576047", "0.5570238", "0.5568206", "0.5564731", "0.55571175", "0.5554838", "0.55532014", "0.55517584", "0.5548397" ]	0.0	-1
Used for reading files.	public static String getStringFromFile(String s, String dir, String path) throws IOException { return getStringFromFile(path + dir + s); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void readFromFile() {\n\n\t}", "protected abstract void readFile();", "public void fileRead() {\n\t\tString a, b;\n\t\t\n\t\twhile (input.hasNext()) {\n\t\t\ta = input.next();\n\t\t\tb = input.next();\n\t\t\tSystem.out.printf(\"%s %s\\n\", a, b);\n\t\t}\n\t}", "public static void reading(String fileName)\n {\n\n }", "public abstract void readFromFile( ) throws Exception;", "public void readFile();", "public void fileRead(String filename) throws IOException;", "List readFile(String pathToFile);", "public FilesInputStreamLoad readFile() throws ArcException {\r\n\tFile dir = new File(this.archiveChargement + \".dir\");\r\n\tString fileName = ManipString.substringAfterFirst(this.idSource, \"_\");\r\n\tFile toRead = new File(dir + File.separator + ManipString.redoEntryName(fileName));\r\n\tFilesInputStreamLoad filesInputStreamLoadReturned = null;\r\n\ttry {\r\n\t\tfilesInputStreamLoadReturned = new FilesInputStreamLoad (toRead);\r\n\t} catch (IOException ioReadException) {\r\n\t\tthrow new ArcException(ioReadException, ArcExceptionMessage.FILE_READ_FAILED, toRead);\r\n\t}\r\n\treturn filesInputStreamLoadReturned;\r\n }", "public void readFiles() {\n\t\t\n\t\ttry {\n\t\t\t\n\t\t\t// Open BufferedReader to open connection to tipslocation URL and read file\n\t\t\tBufferedReader reader1 = new BufferedReader(new InputStreamReader(tipsLocation.openStream()));\n\t\t\t\n\t\t\t// Create local variable to parse through the file\n\t String tip;\n\t \n\t // While there are lines in the file to read, add lines to tips ArrayList\n\t while ((tip = reader1.readLine()) != null) {\n\t tips.add(tip);\n\t }\n\t \n\t // Close the BufferedReader\n\t reader1.close();\n\t \n\t \n\t // Open BufferedReader to open connection to factsLocation URL and read file\n\t BufferedReader reader2 = new BufferedReader(new InputStreamReader(factsLocation.openStream()));\n\t \n\t // Create local variable to parse through the file\n\t String fact;\n\t \n\t // While there are lines in the file to read: parses the int that represents\n\t // the t-cell count that is associated with the line, and add line and int to \n\t // tCellFacts hashmap\n\t while ((fact = reader2.readLine()) != null) {\n\t \t\n\t \tint tCellCount = Integer.parseInt(fact);\n\t \tfact = reader2.readLine();\n\t \t\n\t tCellFacts.put(tCellCount, fact);\n\t }\n\t \n\t // Close the second BufferedReader\n\t reader2.close();\n\t \n\t\t} catch (FileNotFoundException e) {\n\t\t\t\n\t\t\tSystem.out.println(\"Error loading files\"); e.printStackTrace();\n\t\t\t\n\t\t} catch (IOException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "private void getFiles() {\n\t\ttry {\n\t\t\tFileReader fr = new FileReader(inputFileName);\n\t\t\tinputBuffer = new BufferedReader(fr);\n\n\t\t\tFileWriter fw = new FileWriter(outputFileName);\n\t\t\toutputBuffer = new BufferedWriter(fw);\n\t\t} catch (FileNotFoundException e) {\n\t\t\tSystem.out.println(\"File not found: \" + e.getMessage());\n\t\t\tSystem.exit(-2);\n\t\t} catch (IOException e) {\n\t\t\tSystem.out.println(\"IOException \" + e.getMessage());\n\t\t\te.printStackTrace();\n\t\t\tSystem.exit(-3);\n\t\t}\n\t}", "protected abstract E readFile() throws Exception;", "protected List<String> readFile()\n {\n // Base size 620 for Google KML icons. This might be slow for larger\n // sets.\n List<String> lines = New.list(620);\n try (BufferedReader reader = new BufferedReader(\n new InputStreamReader(getClass().getResourceAsStream(myImageList), StringUtilities.DEFAULT_CHARSET)))\n {\n for (String line = reader.readLine(); line != null; line = reader.readLine())\n {\n lines.add(line);\n }\n }\n catch (IOException e)\n {\n LOGGER.warn(e.getMessage());\n }\n return lines;\n }", "private void fileRead(String path)\n\t{\n\t\ttry\n\t\t{\n\t\t\t// create file\n\t\t\tFile file = new File(path);\n\t\t\tFileInputStream fileStream = new FileInputStream(file);\n\t\t\t\n\t\t\t// data read\n\t\t\tthis.dataContent = new byte[(int)file.length()];\n\t\t\tint ret = fileStream.read(this.dataContent, 0, (int)file.length());\n\t\t}\n\t\tcatch(FileNotFoundException e)\n\t\t{\n\t\t\tSystem.out.println(\"File Not Found : \" + e.getMessage());\n\t\t}\n\t\tcatch(IOException e)\n\t\t{\n\t\t\tSystem.out.println(\"Failed File Read : \" + e.getMessage());\n\t\t}\n\t\t\n\t}", "@Override\n protected void read(){\n try(BufferedReader bufferedReader = new BufferedReader(new FileReader(getPath()));) {\n\n String frequencyString;\n\n String frequencyFileFormat = \"([a-z]\\\\s\\\\d+\\\\.\\\\d+)\";\n Pattern pattern = Pattern.compile(frequencyFileFormat);\n Matcher matcher;\n\n String[] frequency;\n\n // Read in each line of the frequencies file\n while ((frequencyString = bufferedReader.readLine()) != null) {\n // Match the frequency format to a individual frequency\n matcher = pattern.matcher(frequencyString);\n if(matcher.find()){\n\n // Split the string into the character and its frequency\n frequency = matcher.group(1).split(\" \");\n\n // Add the string and its corresponding frequency to the frequencies hash map\n frequencies.put(frequency[0], Double.parseDouble(frequency[1]));\n \n }\n }\n\n // Only set to true if it successfully reads the whole file\n setFileRead();\n }\n catch(FileNotFoundException e){\n e.printStackTrace();\n }\n catch(IOException e){\n e.printStackTrace();\n }\n }", "protected abstract Object readFile(BufferedReader buf) throws IOException, FileParseException;", "protected void openFiles() {\n\t\tthis.container = fso.openFile(prefix+EXTENSIONS[CTR_FILE],\"rw\");\n\t\tthis.metaData = fso.openFile(prefix+EXTENSIONS[MTD_FILE], \"rw\");\n\t\tthis.reservedBitMap = fso.openFile(prefix+EXTENSIONS[RBM_FILE], \"rw\");\n\t\tthis.updatedBitMap = fso.openFile(prefix+EXTENSIONS[UBM_FILE], \"rw\");\n\t\tthis.freeList = fso.openFile(prefix+EXTENSIONS[FLT_FILE], \"rw\");\n\t}", "private void readSourceData() throws Exception {\n\t\tthis.fileDataList = new ArrayList<String>();\n\t\tReader reader = new Reader(this.procPath);\n\t\treader.running();\n\t\tthis.fileDataList = reader.getFileDataList();\n\t}", "private void ReadTextFile(String FilePath) {\n\t\t\n\t\t\n\t}", "private void read() {\n\n\t\t\t\tString road=getActivity().getFilesDir().getAbsolutePath()+\"product\"+\".txt\";\n\n\t\t\t\ttry {\n\t\t\t\t\tFile file = new File(road); \n\t\t\t\t\tFileInputStream fis = new FileInputStream(file); \n\t\t\t\t\tint length = fis.available(); \n\t\t\t\t\tbyte [] buffer = new byte[length]; \n\t\t\t\t\tfis.read(buffer); \n\t\t\t\t\tString res1 = EncodingUtils.getString(buffer, \"UTF-8\"); \n\t\t\t\t\tfis.close(); \n\t\t\t\t\tjson(res1.toString());\n\t\t\t\t} catch (IOException e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t} \n\t\t\t}", "public interface ReaderFromFile {\n\t\n\tpublic List<Data> readDataFromFile (String filename);\n}", "public void readEntries() throws FileAccessException;", "protected abstract InputStream getInStreamImpl(String filename) throws IOException;", "public static void readFiles () throws FileNotFoundException{\n try {\n data.setFeatures(data.readFeatures(\"features.txt\"));\n data.setUnknown(data.readFeatures(\"unknown.txt\"));\n data.setTargets(data.readTargets(\"targets.txt\"));\n } catch (FileNotFoundException e) {\n System.out.println(\"Document not found\");\n }\n }", "private void openAndReadFile() throws IOException {\n\t\tFileReader fr = new FileReader(path);\n\t\tBufferedReader textreader = new BufferedReader(fr);\n\t\tString line;\n\t\tString[] parsedLine;\n\t\twhile ((line = textreader.readLine()) != null) {\n\t\t\tparsedLine = pattern.split(line);\n\t\t\tif (parsedLine.length == 2) {\n\t\t\t\tfileData.put(parsedLine[0], parsedLine[1]);\n\t\t\t}\n\t\t\telse {\n\t\t\t\tSystem.out.println(\"Couldn't read line \" + line + \" in \" + path);\n\t\t\t}\n\t\t}\n\t\ttextreader.close();\n\t\tfr.close();\n\t}", "private static ArrayList<String> readFile() throws ApplicationException {\r\n\r\n ArrayList<String> bookList = new ArrayList<>();\r\n\r\n File sourceFile = new File(FILE_TO_READ);\r\n try (BufferedReader input = new BufferedReader(new FileReader(sourceFile))) {\r\n\r\n if (sourceFile.exists()) {\r\n LOG.debug(\"Reading book data\");\r\n String oneLine = input.readLine();\r\n\r\n while ((oneLine = input.readLine()) != null) {\r\n\r\n bookList.add(oneLine);\r\n\r\n }\r\n input.close();\r\n } else {\r\n throw new ApplicationException(\"File \" + FILE_TO_READ + \" does not exsit\");\r\n }\r\n } catch (IOException e) {\r\n LOG.error(e.getStackTrace());\r\n }\r\n\r\n return bookList;\r\n\r\n }", "private void readItems() {\n // open file\n File file = getFilesDir();\n File todoFile = new File(file, \"scores.txt\");\n // try to find items to add\n try {\n items = new ArrayList<>(FileUtils.readLines(todoFile));\n } catch (IOException e) {\n items = new ArrayList<>();\n }\n }", "public void getFiles()\n\t{\n\t\tif(fileList.size() == 0)\n\t\t{\n\t\t\tSystem.out.println(\"There is no file or file not found\");\n\t\t}\n\t\tfor(int i = 0; i < fileList.size(); i++)\n\t\t{\n\t\t\tSystem.out.println(\"File is at: \" + fileList.get(i));\n\t\t}\n\t}", "public XMLReader()\r\n {\r\n \r\n String filePathHead = \"\";\r\n\r\n Path inputPath = Paths.get(\"src\\\\dataFiles\");\r\n\r\n try\r\n {\r\n filePathHead = inputPath.toRealPath().toString();\r\n System.out.println(\"PATH: \" + inputPath.toRealPath().toString());\r\n }\r\n catch (NoSuchFileException x)\r\n {\r\n System.err.format(\"%s: no such\" + \" file or directory%n\", filePathHead);\r\n // Logic for case when file doesn't exist.\r\n }\r\n catch (IOException x)\r\n {\r\n System.err.format(\"%s%n\", x);\r\n // Logic for other sort of file error.\r\n }\r\n }", "private List<String> readFile(String path) throws IOException {\n return Files.readAllLines (Paths.get (path), StandardCharsets.UTF_8);\n }", "public Files files();", "private void readSavedFile() {\n\n String[] files = new String[0];\n \n // On récupère la liste des fichiers\n File file = new File(folderName);\n\n // check if the specified pathname is directory first\n if(file.isDirectory()){\n //list all files on directory\n files = file.list();\n }\n\n if (files != null) {\n for(String currentFile : files) {\n Vehicule voiture;\n try {\n FileInputStream fileIn = new FileInputStream(folderName + \"/\" + currentFile);\n ObjectInputStream in = new ObjectInputStream(fileIn);\n voiture = (Vehicule) in.readObject();\n addVoitureToList(voiture);\n in.close();\n fileIn.close();\n } catch (IOException i) {\n i.printStackTrace();\n return;\n } catch (ClassNotFoundException c) {\n System.out.println(\"#Erreur : Impossible de récupérer l'objet \" + currentFile);\n c.printStackTrace();\n return;\n }\n }\n }\n }", "private static void readFile() throws IOException\r\n\t{\r\n\t\tString s1;\r\n\t\tFileReader fr = new FileReader(filename);\r\n\t\tBufferedReader br = new BufferedReader(fr);\r\n\t\t\r\n\t\tSystem.out.println(\"\\ndbs3.txt File\");\r\n\t\twhile ((s1 = br.readLine())!=null)\r\n\t\t{\r\n\t\t\tSystem.out.println(s1);\r\n\t\t}//end while loop to read files\r\n\t\t\r\n\t\tbr.close();//close the buffered reader\r\n\t}", "public String[] read()\n {\n ArrayList<String> input = new ArrayList<String>();\n try\n {\n dir = new File(contextRef.getFilesDir(), filename);\n if (dir.exists())\n {\n Scanner contacts = new Scanner(dir);\n while (contacts.hasNextLine())\n {\n input.add(contacts.nextLine());\n }\n contacts.close();\n }\n }catch (Exception ex)\n {\n //debug(\"read file contents failure\");\n debug = \"test read failure\";\n }\n return input.toArray(new String[1]);\n }", "public String[] openFile() throws IOException\n\t{\n\t\t//Creates a FileReader and BufferedReader to read from the file that you pass it\n\t\tFileReader fr = new FileReader(path);\n\t\tBufferedReader textReader = new BufferedReader(fr);\n\t\t\n\t\t//Set the variable to the number of lines in the text file through the function in this class that is defined below\n\t\tnumberOfLines = readLines();\n\t\t//Creates an array of strings with size of how many lines of data there are in the file\n\t\tString[] textData = new String[numberOfLines];\n\t\t\n\t\t//Loop to read the lines from the text file for the song data\n\t\tfor (int i = 0; i < numberOfLines; i++)\n\t\t{\n\t\t\t//Read data from song file and into the string list\n\t\t\ttextData[i] = textReader.readLine();\n\t\t}\n\t\t\n\t\t//Close the BufferedReader that was opened\n\t\ttextReader.close();\n\t\t\n\t\t//Return the read data from the text file in the form of a string array\n\t\treturn textData;\n\t}", "public void readFile(File f) {\r\n if(f.getName().endsWith(\".txt\")) {\r\n if(f.getName().equals(\"USQRecorders.txt\")) {\r\n readAndTxt(f); \r\n lab_android.setText(\"Android read in\");\r\n }else if(f.getName().equals(\"mdl_log.txt\")) {\r\n readModLog(f);\r\n lab_moodle.setText(\"Moodle read in\");\r\n }else if(f.getName().equals(\"mdl_chat_messages.txt\") \|\| f.getName().equals(\"mdl_forum_posts.txt\") \|\| f.getName().equals(\"mdl_quiz_attempts.txt\")) {\r\n \treadtabs(f);\r\n }else{\r\n //illegal file name\r\n //JOptionPane.showMessageDialog(null, \"only accept .txt file named 'USQRecorders.txt','mdl_log.txt','mdl_chat_messages.txt','mdl_forum_posts.txt' and 'mdl_quiz_attempts.txt'\", \"System Message\", JOptionPane.ERROR_MESSAGE);\r\n }\r\n if(fromzip == false) {\r\n copyOldtxt(f);\r\n }\r\n } else if(f.getName().endsWith(\".zip\")) {\r\n if(f.getName().endsWith(\".zip\"))fromzip=true;\r\n readZip(f);\r\n copyOldtxt(f);\r\n //delete original\r\n File del = new File(workplace + \"/temp/USQ_IMAGE\");\r\n File dels[] = del.listFiles();\r\n for(int i=0 ; i<dels.length ; i++){\r\n dels[i].delete();\r\n }\r\n File tmp = new File(workplace + \"/temp/USQ_IMAGE/\");\r\n tmp.delete();\r\n tmp = new File(workplace + \"/temp\");\r\n tmp.delete();\r\n lab_android.setText(\"Android read in\");\r\n } else if(f.getName().endsWith(\".png\")) {\r\n readImage(f);\r\n }\r\n }", "public static void readMyFile() throws IOException {\n\n List<String> allLines = Files.readAllLines(Paths.get(\"src/ErfansInputFile\"));\n System.out.println(\"allLines = \" + allLines);\n System.out.println(\"Reading the file in my computer. \");\n\n throw new FileNotFoundException(\"Kaboom, file is not found!!!\");\n }", "void citire(FileReader f);", "public List<String> readFile() {\n \n try {\n ensureFileExists();\n return Files.readAllLines(filePath);\n } catch (FileNotFoundException ex) {\n return new ArrayList<>();\n } catch (IOException ex) {\n ex.printStackTrace();\n return new ArrayList<>();\n }\n }", "public fileReaderDesignated() throws FileNotFoundException{\n\t\tBufferedReader in=new BufferedReader(new FileReader(fileName));\n\t\ttry {\n\t\t\treadLargerTextFile(fileName);\n\t\t} catch (IOException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "public void readResult() {\n File dirXml = new File(System.getProperty(\"user.dir\") + \"/target/classes/\");\n /// Get Parent Directory\n String parentDirectory = dirXml.getParent();\n File folder = new File(parentDirectory + \"/jbehave\");\n File[] listOfFiles = folder.listFiles();\n\n if (listOfFiles != null) {\n for (File listOfFile : listOfFiles) {\n if (listOfFile.isFile()) {\n String filePath = folder.getPath() + \"/\" + listOfFile.getName();\n System.out.println(\"File \" + filePath);\n if (filePath.contains(\".xml\") && !filePath.contains(\"AfterStories\") && !filePath.contains(\n \"BeforeStories\")) {\n readXML(filePath);\n }\n }\n }\n }\n }", "private void readFileList() throws IOException {\n\t\tint entries = metadataFile.readInt();\n\n\t\tfor (int i = 0; i < entries; i++) {\n\t\t\tint hash = metadataFile.readInt();\n\t\t\tlong dataOffset = metadataFile.readInt() & 0xFFFFFFFFL;\n\t\t\tlong dataSize = metadataFile.readInt() & 0xFFFFFFFFL;\n\t\t\tint pathListIndex = metadataFile.readInt();\n\n\t\t\tlong position = metadataFile.getPosition();\n\t\t\tmetadataFile.setPosition(pathListOffset + 8 + (pathListIndex * 8));\n\n\t\t\tlong pathOffset = metadataFile.readInt() & 0xFFFFFFFFL;\n\t\t\tint pathSize = metadataFile.readInt();\n\n\t\t\tmetadataFile.setPosition(pathListOffset + pathOffset);\n\t\t\tString path = metadataFile.readString(pathSize).trim();\n\n\t\t\tif (hash == hash(path)) \n\t\t\t\tfileEntries.add(new RAFFileEntry(dataOffset, dataSize, path));\n\t\t\telse\n\t\t\t\tthrow new IOException(\"Invalid hash for item '\" + path + \"'.\");\n\n\t\t\tmetadataFile.setPosition(position);\n\t\t}\n\t}", "@SuppressWarnings(\"unused\")\n private void _read() {\n }", "public String readFileContents(String filename) {\n return null;\n\n }", "public List<String> readFileContents(String filePath) throws APIException;", "static void read()\n\t\t{\n\n\n\t\t\tString content=new String();\n\t\t\ttry {\n\t\t\t\tFile file=new File(\"Dic.txt\");\n\t\t\t\tScanner scan=new Scanner(file);\n\t\t\t\twhile(scan.hasNextLine()) {\n\t\t\t\t\tcontent=scan.nextLine();\n\t\t\t\t//\tSystem.out.println(content);\n\n\t\t\t\t//\tString [] array=content.split(\" \");\n\t\t\t\t\tlist.add(content.trim());\n\n\t\t\t\t}\n\t\t\t\tscan.close(); \n\t\t\t}\n\t\t\tcatch (Exception e) {\n\t\t\t\tSystem.out.println(e);\n\t\t\t}\n\n\n\t\t}", "private FileManager()\n {\n bookFile.open(\"bookdata.txt\");\n hisFile.open(\"history.txt\");\n idFile.open(\"idpassword.txt\");\n createIDMap();\n createHisMap(Customer.getInstance());\n }", "protected String[] readInFile(String filename) {\n Vector<String> fileContents = new Vector<String>();\n try {\n InputStream gtestResultStream1 = getClass().getResourceAsStream(File.separator +\n TEST_TYPE_DIR + File.separator + filename);\n BufferedReader reader = new BufferedReader(new InputStreamReader(gtestResultStream1));\n String line = null;\n while ((line = reader.readLine()) != null) {\n fileContents.add(line);\n }\n }\n catch (NullPointerException e) {\n CLog.e(\"Gest output file does not exist: \" + filename);\n }\n catch (IOException e) {\n CLog.e(\"Unable to read contents of gtest output file: \" + filename);\n }\n return fileContents.toArray(new String[fileContents.size()]);\n }", "@Override\n public Ini read(Path path) throws IOException {\n try (Reader reader = Files.newBufferedReader(path)) {\n return read(reader);\n }\n }", "static List<String> fileReader(String fileName){\n \n \n //Read a file and store the content in a string array.\n File f = new File(fileName);\n BufferedReader reader = null;\n String tempString = null;\n List<String> fileContent = new ArrayList<String>();\n //String[] fileContent = null;\n //int i = 0;\n \n try {\n reader = new BufferedReader(new FileReader(f));\n while ((tempString = reader.readLine()) != null){\n //while ((fileContent[i] = reader.readLine()) != null){\n fileContent.add(tempString);\n //i++;\n }\n reader.close();\n } catch (FileNotFoundException e) {\n // TODO Auto-generated catch block\n e.printStackTrace();\n } catch (IOException e) {\n // TODO Auto-generated catch block\n e.printStackTrace();\n }\n finally{\n if (reader != null){\n try{\n reader.close();\n }\n catch(IOException e){\n e.printStackTrace();\n }\n }\n }\n \n return fileContent;\n \n }", "public Stream<Path> loadAll() {\n\t\ttry\n\t\t{\n\t\t\tSystem.out.println(\"File Retrived\");\n\t\t\treturn Files.walk(this.path, 1).filter(path->!path.equals(this.path)).map(this.path::relativize);\n\t\t}catch(Exception e)\n\t\t{\n\t\t\te.printStackTrace();\n\t\t\tSystem.out.println(\"File Retrived Error\");\n\t\t}\n\t\treturn null;\n\t}", "private void readFile() {\n try (BufferedReader br = new BufferedReader(new FileReader(\"../CS2820/src/production/StartingInventory.txt\"))) {\n String line = br.readLine();\n while (line != null) {\n line = br.readLine();\n this.items.add(line);\n }\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "private void readFile() {\r\n\t\tScanner sc = null; \r\n\t\ttry {\r\n\t\t\tsc = new Scanner(inputFile);\t\r\n\t\t\twhile(sc.hasNextLine()){\r\n\t\t\t\tgrade.add(sc.nextLine());\r\n\t } \r\n\t\t}\r\n\t\tcatch (FileNotFoundException e) {\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tfinally {\r\n\t\t\tsc.close();\r\n\t\t}\t\t\r\n\t}", "private String[] readFile(InputStream stream) throws StorageException {\r\n try {\r\n return readFile(new BufferedReader(new InputStreamReader(stream)));\r\n } catch (Exception exception) {\r\n throw new StorageException(\"Cannot read file \");\r\n }\r\n }", "protected abstract void parseFile(File f) throws IOException;", "public fileReaderTest()\n {\n }", "public List<Task> readFile() throws FileNotFoundException, DukeException {\n List<Task> output = new ArrayList<>();\n Scanner sc = new Scanner(file);\n while (sc.hasNext()) {\n output.add(readTask(sc.nextLine()));\n }\n return output;\n }", "public InputStream readFile( String fileName, FileType type );", "public void readFile(String name) {\n\t\tString filename = this.path + name;\n\t\tFile file = new File(filename);\n\t\t\n\t\t\n\t\ttry {\t\t \n\t\t\tScanner reader = new Scanner(file);\n\t\t\t\n\t\t\twhile (reader.hasNextLine()) {\n\t\t\t\tString data = reader.nextLine();\n\t\t System.out.println(data);\n\t\t\t}\n\t\t reader.close();\n\t\t} catch (FileNotFoundException e) {\n\t\t System.out.println(\"File not found!\");\n\t\t} \n\t}", "public abstract String getFileLocation();", "public ArrayList<String> readFromFile(){\n ArrayList<String> results = new ArrayList<>();\n //Wrap code in a try/ catch to help with exception handling.\n try{\n //Create a object of Scanner class\n Scanner s = new Scanner(new FileReader(path));\n //While loop for iterating thru the file.\n // Reads the data and adds it to the ArrayList.\n while(s.hasNext()) {\n String c1 = s.next();\n String c2 = s.next();\n String w = s.next();\n results.add(c1);\n results.add(c2);\n results.add(w);\n }return results;\n\n }//File not found exception block.\n catch(FileNotFoundException e){\n System.out.println(e);\n }\n return results;//default return.\n }", "protected abstract InputStream getFile(final String path);", "public abstract void readFromFile(String key, String value);", "public void get(String file) {\n\n }", "@Test\n\tpublic void testReadTxtFile() throws FileNotFoundException {\n\t\tFileParser fp = new FileParser();\n\t\tArrayList<String> parsedLines = fp.readTxtFile(\"test.txt\");\n\t\tassertEquals(\"This is a test file\", parsedLines.get(0));\n\t\tassertEquals(\"University of Virginia\", parsedLines.get(1));\n\n\t\tArrayList<String> parsedWords = fp.readTxtFile(\"test1.txt\");\n\t\tassertEquals(\"test\", parsedWords.get(0));\n\t\tassertEquals(\"file\", parsedWords.get(1));\n\t}", "File openFile();", "private ArrayList<String> readReturnFileContents(String fileName){\n String startingDir = System.getProperty(\"user.dir\");\n BufferedReader reader = null;\n String line = \"\";\n ArrayList<String> wholeFile = new ArrayList<String>();\n try {\n reader = new BufferedReader(new FileReader(startingDir + \"/\" + fileName));\n while ((line = reader.readLine()) != null) {\n wholeFile.add(line);\n }\n } catch (FileNotFoundException fnfe) {\n System.out.println(fnfe.getMessage());\n System.exit(1);\n } catch (NullPointerException npe) {\n System.out.println(npe.getMessage());\n System.exit(1);\n } catch (Exception ex) {\n System.out.println(ex.getMessage());\n System.exit(1);\n }\n return wholeFile;\n }", "@Override\n @SneakyThrows\n public void process() {\n process(new FileReader(new File(fileName)));\n }", "List<File> getSystemDescriptionFiles();", "public synchronized boolean isReadingFromFile(){\n\t\treturn isReadingFromFile;\n\t}", "@Override\n public InputStream openInternalInputFile(String pathname) throws IOException {\n return new FileInputStream(pathname);\n }", "private void load(FileInputStream input) {\n\t\t\r\n\t}", "private String[] readFile(String path) throws StorageException {\r\n try {\r\n return readFile(new BufferedReader(new FileReader(new File(path))));\r\n } catch (Exception exception) {\r\n throw new StorageException(\"Cannot read file \" + path + \":\" + exception.getMessage());\r\n }\r\n }", "private List<String> readFile() throws FileNotFoundException {\t\n\t\tList<String> itemsLines = new ArrayList<>();\n\t\tFile inputFile = new File(filePath);\t\n\t\ttry (Scanner newScanner = new Scanner(inputFile)) {\n\t\t\twhile(newScanner.hasNextLine()) {\n\t\t\t\titemsLines.add(newScanner.nextLine());\n\t\t\t}\t\n\t\t}\n\t\treturn itemsLines;\n\t}", "public String[] readFile() {\n\t\t\n\t\tFile file = null;\n\t\tString[] contenu = new String[2];\n\t\tMonFileChooser ouvrir = new MonFileChooser();\n\t\tint resultat = ouvrir.showOpenDialog(null);\n\t\tif (resultat == MonFileChooser.APPROVE_OPTION) {\n\t\t\tfile = ouvrir.getSelectedFile();\n\t\t\tcontenu[0]=file.getName();\n\t\t\n\t\t\n\t\t\ttry {\n\t\t\t\tString fileContent = null;\n\t\t\t\tcontenu[1] = \"\";\n\t\t\t\tBufferedReader br = new BufferedReader(new FileReader(file)); \n\t\t\t\twhile((fileContent = br.readLine()) != null) {\n\t\t\t\t\tif (fileContent != null)\n\t\t\t\t\tcontenu[1] += fileContent+\"\\n\";\n\t\t\t}\n\t\t\t br.close();\n\t\t\t} catch (FileNotFoundException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t} catch (IOException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t\topenFiles.add(file);\n\t\t}\n\t\treturn contenu;\t\n\t}", "public static void read6() {\n List<String> list = new ArrayList<>();\n\n try (BufferedReader br = Files.newBufferedReader(Paths.get(filePath))) {\n\n //br returns as stream and convert it into a List\n list = br.lines().collect(Collectors.toList());\n\n } catch (IOException e) {\n e.printStackTrace();\n }\n\n list.forEach(System.out::println);\n }", "@Override\n public InputStream openInputFile(String pathname) throws IOException {\n return new FileInputStream(pathname);\n }", "private FileUtil() {\n \t\tsuper();\n \t}", "public String readMultipleFromFiles()\n {\n String result = \"\";\n try\n {\n FileReader fileReader = new FileReader(filename);\n try\n {\n StringBuffer stringBuffer = new StringBuffer();\n Scanner scanner = new Scanner(fileReader);\n while (scanner.hasNextLine())\n {\n stringBuffer.append(scanner.nextLine()).append(\"\\n\");\n }\n stringBuffer.delete(stringBuffer.length() - 1, stringBuffer.length());\n result = stringBuffer.toString();\n } finally\n {\n fileReader.close();\n }\n } catch (FileNotFoundException e)\n {\n System.out.println(\"There is no such file called \" + filename);\n } catch (IOException e)\n {\n System.out.println(\"read \" + filename + \" error!!!\");\n } catch (NumberFormatException e)\n {\n System.out.println(\"content in file \" + filename + \" is error\");\n }\n return result;\n }", "@Override\n public int getFile() {\n return file;\n }", "private FileReader openLabelsFile() {\n FileReader file = null;\n try {\n file = new FileReader(riaaLabelsFile);\n } catch (FileNotFoundException e) {\n e.printStackTrace();\n }\n return file;\n }", "public void handleOpenFile (File inFile) {\n openFile (inFile);\n }", "public static void main(String[] args) {\n\t\tFile f = new File(\"src/com/briup/java_day19/ch11/FileTest.txt\");// \"src/com/briup/\"(win and linux)\r\n\t\t\r\n\t\tSystem.out.println(f);\r\n\t\tSystem.out.println(f.exists());\r\n\t\tif(!f.exists()){\r\n\t\t\ttry {\r\n\t\t\t\tf.createNewFile();\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\t\tSystem.out.println(f.canWrite());\r\n\t\tSystem.out.println(f.canExecute());\r\n\t\tSystem.out.println(f.canRead());\r\n\t\tSystem.out.println(f.getAbsolutePath());//override toString\r\n\t\tSystem.out.println(f.getAbsoluteFile());\r\n\t\tSystem.out.println(f.getName());\r\n\t\tSystem.out.println(f.getParent());\r\n\t\tSystem.out.println(f.getParentFile());\r\n\t\tSystem.out.println(f.isDirectory());\r\n\t\tSystem.out.println(f.isFile());\r\n\t\tSystem.out.println(f.length());//how many byte\r\n\t\t\r\n\t\tSystem.out.println(\"=================\");\r\n\t\tString[] str = f.getParentFile().list();\r\n\t\tSystem.out.println(Arrays.toString(str));\r\n\t\tfor(String s:str){\r\n\t\t\tSystem.out.println(s);\r\n\t\t}\r\n\t\tSystem.out.println(\"=================\");\r\n\t\tFile pf = f.getParentFile();\r\n\t\tString[] str2 = pf.list(new FilenameFilter() {\r\n\t\t\t\r\n\t\t\t@Override\r\n\t\t\tpublic boolean accept(File dir, String name) {\r\n\t\t\t\t//文件名以txt结尾的\r\n//\t\t\t\treturn name.endsWith(\"java\");\r\n//\t\t\t\treturn name.contains(\"Byte\");\r\n\t\t\t\treturn name.startsWith(\"Byte\");\r\n\t\t\t}\r\n\t\t});\r\n\t\tfor(String s:str2){\r\n\t\t\tSystem.out.println(s);\r\n\t\t}\r\n\t\t\r\n\t}", "@Override\n\t\t\t\t\tpublic void handle(File file)\n\t\t\t\t\t{\n\t\t\t\t\t\t\n\t\t\t\t\t}", "@Override\n\tpublic void readImages() {\n\t\t\n\t}", "private static List<String> readFile(File file) throws IOException {\n return Files.readAllLines(file.toPath());\n }", "private static List<String> readFile(File file) throws IOException {\n return Files.readAllLines(file.toPath());\n }", "public static void read7() {\n //read file into stream, try-with-resources\n try (Stream<String> stream = Files.lines(Paths.get(filePath))) {\n\n stream.forEach(System.out::println);\n\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "public interface FileReader {\n\n String read(String fileName);\n}", "FileObject getFile();", "FileObject getFile();", "public interface FileInterface {\n\t/*\n\t Operation that allows to read an input file to a data structure.\n\t /\n\tpublic void readFile();\n\t/\n\t Operation that allows to read an input file and select a specific fraction into a string array.\n\t * @return Array of strings containing a specific fraction of the file.\n\t /\n\tpublic String[] readClasses();\n}", "static List<String> read() {\n String fileName = getFilePath();\n List<String> urls = new ArrayList<>();\n \n if (Files.notExists(Paths.get(fileName))) {\n return urls;\n }\n \n try (Stream<String> stream = Files.lines(Paths.get(fileName))) {\n urls = stream\n // Excludes lines that start with # as that is used for comments\n // and must start with http:// as that is required by crawler4j.\n .filter(line -> !line.startsWith(\"#\") &&\n line.startsWith(\"http://\") \|\| line.startsWith(\"https://\"))\n .map(String::trim)\n .map(String::toLowerCase)\n .collect(Collectors.toList());\n } catch (IOException e) {\n e.printStackTrace();\n }\n \n return urls;\n }", "void readFile()\n {\n Scanner sc2 = new Scanner(System.in);\n try {\n sc2 = new Scanner(new File(\"src/main/java/ex45/exercise45_input.txt\"));\n } catch (FileNotFoundException e) {\n e.printStackTrace();\n }\n while (sc2.hasNextLine()) {\n Scanner s2 = new Scanner(sc2.nextLine());\n while (s2.hasNext()) {\n //s is the next word\n String s = s2.next();\n this.readFile.add(s);\n }\n }\n }", "public void readFile() {\r\n\t\tBufferedReader br = null;\r\n\r\n\t\ttry {\r\n\r\n\t\t\tString currentLine;\r\n\r\n\t\t\tbr = new BufferedReader(new FileReader(fileName));\r\n\r\n\t\t\twhile ((currentLine = br.readLine()) != null) {\r\n\r\n\t\t\t\tif (!currentLine.equals(\"\")) {\r\n\t\t\t\t\tString[] paragraphs = currentLine.split(\"\\\\n\\\\n\");\r\n\r\n\t\t\t\t\tfor (String paragraphEntry : paragraphs) {\r\n\t\t\t\t\t\t//process(paragraphEntry);\r\n\t\t\t\t\t\t//System.out.println(\"Para:\"+paragraphEntry);\r\n\t\t\t\t\t\tParagraph paragraph = new Paragraph();\r\n\t\t\t\t\t\tparagraph.process(paragraphEntry);\r\n\t\t\t\t\t\tthis.paragraphs.add(paragraph);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\r\n\t\t\t}\r\n\r\n\t\t} catch (IOException e) {\r\n\t\t\te.printStackTrace();\r\n\t\t} finally {\r\n\t\t\ttry {\r\n\t\t\t\tif (br != null)br.close();\r\n\t\t\t} catch (IOException ex) {\r\n\t\t\t\tex.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t}", "@Override\n public InputStream open() throws IOException {\n return getClass().getClassLoader().getResourceAsStream(name);\n }", "public abstract List<String> getFiles( );", "public String[] getFile() throws IOException {\n\t\n\t\n\ttry {\n\tFileReader reader = new FileReader(path);\n\tBufferedReader textReader = new BufferedReader(reader); // creates buffered file reader again\n\t\n\tint numberOfLines = getLines(); // calls the method above to know how many lines there are\n\tString[ ] textData = new String[numberOfLines]; //creates an array the size of the amount of lines the file has\n\t\n\tfor (int i=0; i < numberOfLines; i++) {\n\t\ttextData[ i ] = textReader.readLine(); // go through file and read each line into its own array space\n\t\t}\n\t\n\ttextReader.close( ); //reader is done\n\treturn textData; // return array\n\t} catch (IOException e) {\n\t\tString[] exceptionString = new String[1];\n\t\texceptionString[0] = \"nothing\";\n\t\treturn exceptionString;\n\t}\n}", "public void read() {\n String line = \"\";\n int counter = 0;\n try {\n input = new BufferedReader(new FileReader(file));\n while (line != null) {\n if (!(line.equals(\"arglebargle\"))) {//not a default\n names.add(line);\n }\n }\n input.close();\n }\n catch (IOException e) {\n }\n }", "public synchronized int load()\n {\n int cb = (maxFiles maxChars * SysLib.CBCHAR) + \n (maxFiles * SysLib.CBINT);\n byte b[] = new byte[cb];\n files.clear();\n int fileNameOffset = maxFiles * SysLib.CBINT;\n int offset = 0;\n\n // Read the entire potential directory listing\n if (inode.read(0, b) < 0)\n {\n return -1;\n }\n\n for (int i = 0; i < maxFiles; i++)\n {\n // Read the file name length\n int strLen = SysLib.bytes2int(b, offset);\n offset += SysLib.CBINT;\n\n // Read the file name, if one is stored\n if (strLen > 0)\n {\n byte strBytes[] = new byte[strLen * SysLib.CBCHAR];\n\n System.arraycopy(b, fileNameOffset, strBytes, 0,\n strBytes.length);\n\n files.add(new String(strBytes));\n\n fileNameOffset += strLen;\n }\n // Add a zero-length placeholder for this listing\n else\n {\n files.add(new String(\"\"));\n }\n }\n\n return 0;\n }", "@Test\n public void testFileReading() throws Exception {\n String[] args = new String[1];\n args[0] = testFile;\n ConferenceManager.main(args);\n\n }" ]	[ "0.78484553", "0.7246386", "0.7134532", "0.71200275", "0.7102085", "0.70538396", "0.6858713", "0.68399125", "0.66947156", "0.6620651", "0.66105", "0.6549356", "0.6494126", "0.6489619", "0.64282054", "0.6427119", "0.63994324", "0.63837254", "0.63814354", "0.63660127", "0.63575566", "0.6349801", "0.63418597", "0.63386744", "0.6330244", "0.6302184", "0.6286397", "0.628604", "0.6275503", "0.6272392", "0.6272189", "0.6263328", "0.6255587", "0.62515986", "0.62465864", "0.62451816", "0.62369454", "0.623544", "0.62203735", "0.62166345", "0.6213614", "0.6204336", "0.61968315", "0.6192423", "0.617676", "0.6163371", "0.6149867", "0.61434644", "0.6139419", "0.6124783", "0.6119364", "0.61193246", "0.6116391", "0.6111067", "0.6061174", "0.6055573", "0.6054701", "0.60541034", "0.605225", "0.60493976", "0.60485786", "0.6048521", "0.6035231", "0.6034356", "0.60152787", "0.60116494", "0.5992466", "0.59888136", "0.5973753", "0.5970686", "0.59682727", "0.5967748", "0.5966977", "0.59537363", "0.5953221", "0.59509885", "0.5949124", "0.5948066", "0.59479314", "0.59407127", "0.5940672", "0.59317636", "0.5927108", "0.5914821", "0.5906749", "0.5901347", "0.5901347", "0.58942664", "0.5893216", "0.5887639", "0.5887639", "0.58876", "0.5884508", "0.58837825", "0.5879091", "0.5873249", "0.5872426", "0.5872021", "0.585911", "0.58580184", "0.58548754" ]	0.0	-1
Used for reading files.	public static void writeToFile(String s, String dir, String filename) { writeToFile(s, dir + filename); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void readFromFile() {\n\n\t}", "protected abstract void readFile();", "public void fileRead() {\n\t\tString a, b;\n\t\t\n\t\twhile (input.hasNext()) {\n\t\t\ta = input.next();\n\t\t\tb = input.next();\n\t\t\tSystem.out.printf(\"%s %s\\n\", a, b);\n\t\t}\n\t}", "public static void reading(String fileName)\n {\n\n }", "public abstract void readFromFile( ) throws Exception;", "public void readFile();", "public void fileRead(String filename) throws IOException;", "List readFile(String pathToFile);", "public FilesInputStreamLoad readFile() throws ArcException {\r\n\tFile dir = new File(this.archiveChargement + \".dir\");\r\n\tString fileName = ManipString.substringAfterFirst(this.idSource, \"_\");\r\n\tFile toRead = new File(dir + File.separator + ManipString.redoEntryName(fileName));\r\n\tFilesInputStreamLoad filesInputStreamLoadReturned = null;\r\n\ttry {\r\n\t\tfilesInputStreamLoadReturned = new FilesInputStreamLoad (toRead);\r\n\t} catch (IOException ioReadException) {\r\n\t\tthrow new ArcException(ioReadException, ArcExceptionMessage.FILE_READ_FAILED, toRead);\r\n\t}\r\n\treturn filesInputStreamLoadReturned;\r\n }", "public void readFiles() {\n\t\t\n\t\ttry {\n\t\t\t\n\t\t\t// Open BufferedReader to open connection to tipslocation URL and read file\n\t\t\tBufferedReader reader1 = new BufferedReader(new InputStreamReader(tipsLocation.openStream()));\n\t\t\t\n\t\t\t// Create local variable to parse through the file\n\t String tip;\n\t \n\t // While there are lines in the file to read, add lines to tips ArrayList\n\t while ((tip = reader1.readLine()) != null) {\n\t tips.add(tip);\n\t }\n\t \n\t // Close the BufferedReader\n\t reader1.close();\n\t \n\t \n\t // Open BufferedReader to open connection to factsLocation URL and read file\n\t BufferedReader reader2 = new BufferedReader(new InputStreamReader(factsLocation.openStream()));\n\t \n\t // Create local variable to parse through the file\n\t String fact;\n\t \n\t // While there are lines in the file to read: parses the int that represents\n\t // the t-cell count that is associated with the line, and add line and int to \n\t // tCellFacts hashmap\n\t while ((fact = reader2.readLine()) != null) {\n\t \t\n\t \tint tCellCount = Integer.parseInt(fact);\n\t \tfact = reader2.readLine();\n\t \t\n\t tCellFacts.put(tCellCount, fact);\n\t }\n\t \n\t // Close the second BufferedReader\n\t reader2.close();\n\t \n\t\t} catch (FileNotFoundException e) {\n\t\t\t\n\t\t\tSystem.out.println(\"Error loading files\"); e.printStackTrace();\n\t\t\t\n\t\t} catch (IOException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "private void getFiles() {\n\t\ttry {\n\t\t\tFileReader fr = new FileReader(inputFileName);\n\t\t\tinputBuffer = new BufferedReader(fr);\n\n\t\t\tFileWriter fw = new FileWriter(outputFileName);\n\t\t\toutputBuffer = new BufferedWriter(fw);\n\t\t} catch (FileNotFoundException e) {\n\t\t\tSystem.out.println(\"File not found: \" + e.getMessage());\n\t\t\tSystem.exit(-2);\n\t\t} catch (IOException e) {\n\t\t\tSystem.out.println(\"IOException \" + e.getMessage());\n\t\t\te.printStackTrace();\n\t\t\tSystem.exit(-3);\n\t\t}\n\t}", "protected abstract E readFile() throws Exception;", "protected List<String> readFile()\n {\n // Base size 620 for Google KML icons. This might be slow for larger\n // sets.\n List<String> lines = New.list(620);\n try (BufferedReader reader = new BufferedReader(\n new InputStreamReader(getClass().getResourceAsStream(myImageList), StringUtilities.DEFAULT_CHARSET)))\n {\n for (String line = reader.readLine(); line != null; line = reader.readLine())\n {\n lines.add(line);\n }\n }\n catch (IOException e)\n {\n LOGGER.warn(e.getMessage());\n }\n return lines;\n }", "private void fileRead(String path)\n\t{\n\t\ttry\n\t\t{\n\t\t\t// create file\n\t\t\tFile file = new File(path);\n\t\t\tFileInputStream fileStream = new FileInputStream(file);\n\t\t\t\n\t\t\t// data read\n\t\t\tthis.dataContent = new byte[(int)file.length()];\n\t\t\tint ret = fileStream.read(this.dataContent, 0, (int)file.length());\n\t\t}\n\t\tcatch(FileNotFoundException e)\n\t\t{\n\t\t\tSystem.out.println(\"File Not Found : \" + e.getMessage());\n\t\t}\n\t\tcatch(IOException e)\n\t\t{\n\t\t\tSystem.out.println(\"Failed File Read : \" + e.getMessage());\n\t\t}\n\t\t\n\t}", "@Override\n protected void read(){\n try(BufferedReader bufferedReader = new BufferedReader(new FileReader(getPath()));) {\n\n String frequencyString;\n\n String frequencyFileFormat = \"([a-z]\\\\s\\\\d+\\\\.\\\\d+)\";\n Pattern pattern = Pattern.compile(frequencyFileFormat);\n Matcher matcher;\n\n String[] frequency;\n\n // Read in each line of the frequencies file\n while ((frequencyString = bufferedReader.readLine()) != null) {\n // Match the frequency format to a individual frequency\n matcher = pattern.matcher(frequencyString);\n if(matcher.find()){\n\n // Split the string into the character and its frequency\n frequency = matcher.group(1).split(\" \");\n\n // Add the string and its corresponding frequency to the frequencies hash map\n frequencies.put(frequency[0], Double.parseDouble(frequency[1]));\n \n }\n }\n\n // Only set to true if it successfully reads the whole file\n setFileRead();\n }\n catch(FileNotFoundException e){\n e.printStackTrace();\n }\n catch(IOException e){\n e.printStackTrace();\n }\n }", "protected abstract Object readFile(BufferedReader buf) throws IOException, FileParseException;", "protected void openFiles() {\n\t\tthis.container = fso.openFile(prefix+EXTENSIONS[CTR_FILE],\"rw\");\n\t\tthis.metaData = fso.openFile(prefix+EXTENSIONS[MTD_FILE], \"rw\");\n\t\tthis.reservedBitMap = fso.openFile(prefix+EXTENSIONS[RBM_FILE], \"rw\");\n\t\tthis.updatedBitMap = fso.openFile(prefix+EXTENSIONS[UBM_FILE], \"rw\");\n\t\tthis.freeList = fso.openFile(prefix+EXTENSIONS[FLT_FILE], \"rw\");\n\t}", "private void readSourceData() throws Exception {\n\t\tthis.fileDataList = new ArrayList<String>();\n\t\tReader reader = new Reader(this.procPath);\n\t\treader.running();\n\t\tthis.fileDataList = reader.getFileDataList();\n\t}", "private void ReadTextFile(String FilePath) {\n\t\t\n\t\t\n\t}", "private void read() {\n\n\t\t\t\tString road=getActivity().getFilesDir().getAbsolutePath()+\"product\"+\".txt\";\n\n\t\t\t\ttry {\n\t\t\t\t\tFile file = new File(road); \n\t\t\t\t\tFileInputStream fis = new FileInputStream(file); \n\t\t\t\t\tint length = fis.available(); \n\t\t\t\t\tbyte [] buffer = new byte[length]; \n\t\t\t\t\tfis.read(buffer); \n\t\t\t\t\tString res1 = EncodingUtils.getString(buffer, \"UTF-8\"); \n\t\t\t\t\tfis.close(); \n\t\t\t\t\tjson(res1.toString());\n\t\t\t\t} catch (IOException e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t} \n\t\t\t}", "public interface ReaderFromFile {\n\t\n\tpublic List<Data> readDataFromFile (String filename);\n}", "public void readEntries() throws FileAccessException;", "protected abstract InputStream getInStreamImpl(String filename) throws IOException;", "public static void readFiles () throws FileNotFoundException{\n try {\n data.setFeatures(data.readFeatures(\"features.txt\"));\n data.setUnknown(data.readFeatures(\"unknown.txt\"));\n data.setTargets(data.readTargets(\"targets.txt\"));\n } catch (FileNotFoundException e) {\n System.out.println(\"Document not found\");\n }\n }", "private void openAndReadFile() throws IOException {\n\t\tFileReader fr = new FileReader(path);\n\t\tBufferedReader textreader = new BufferedReader(fr);\n\t\tString line;\n\t\tString[] parsedLine;\n\t\twhile ((line = textreader.readLine()) != null) {\n\t\t\tparsedLine = pattern.split(line);\n\t\t\tif (parsedLine.length == 2) {\n\t\t\t\tfileData.put(parsedLine[0], parsedLine[1]);\n\t\t\t}\n\t\t\telse {\n\t\t\t\tSystem.out.println(\"Couldn't read line \" + line + \" in \" + path);\n\t\t\t}\n\t\t}\n\t\ttextreader.close();\n\t\tfr.close();\n\t}", "private static ArrayList<String> readFile() throws ApplicationException {\r\n\r\n ArrayList<String> bookList = new ArrayList<>();\r\n\r\n File sourceFile = new File(FILE_TO_READ);\r\n try (BufferedReader input = new BufferedReader(new FileReader(sourceFile))) {\r\n\r\n if (sourceFile.exists()) {\r\n LOG.debug(\"Reading book data\");\r\n String oneLine = input.readLine();\r\n\r\n while ((oneLine = input.readLine()) != null) {\r\n\r\n bookList.add(oneLine);\r\n\r\n }\r\n input.close();\r\n } else {\r\n throw new ApplicationException(\"File \" + FILE_TO_READ + \" does not exsit\");\r\n }\r\n } catch (IOException e) {\r\n LOG.error(e.getStackTrace());\r\n }\r\n\r\n return bookList;\r\n\r\n }", "public void getFiles()\n\t{\n\t\tif(fileList.size() == 0)\n\t\t{\n\t\t\tSystem.out.println(\"There is no file or file not found\");\n\t\t}\n\t\tfor(int i = 0; i < fileList.size(); i++)\n\t\t{\n\t\t\tSystem.out.println(\"File is at: \" + fileList.get(i));\n\t\t}\n\t}", "private void readItems() {\n // open file\n File file = getFilesDir();\n File todoFile = new File(file, \"scores.txt\");\n // try to find items to add\n try {\n items = new ArrayList<>(FileUtils.readLines(todoFile));\n } catch (IOException e) {\n items = new ArrayList<>();\n }\n }", "public XMLReader()\r\n {\r\n \r\n String filePathHead = \"\";\r\n\r\n Path inputPath = Paths.get(\"src\\\\dataFiles\");\r\n\r\n try\r\n {\r\n filePathHead = inputPath.toRealPath().toString();\r\n System.out.println(\"PATH: \" + inputPath.toRealPath().toString());\r\n }\r\n catch (NoSuchFileException x)\r\n {\r\n System.err.format(\"%s: no such\" + \" file or directory%n\", filePathHead);\r\n // Logic for case when file doesn't exist.\r\n }\r\n catch (IOException x)\r\n {\r\n System.err.format(\"%s%n\", x);\r\n // Logic for other sort of file error.\r\n }\r\n }", "public Files files();", "private List<String> readFile(String path) throws IOException {\n return Files.readAllLines (Paths.get (path), StandardCharsets.UTF_8);\n }", "private void readSavedFile() {\n\n String[] files = new String[0];\n \n // On récupère la liste des fichiers\n File file = new File(folderName);\n\n // check if the specified pathname is directory first\n if(file.isDirectory()){\n //list all files on directory\n files = file.list();\n }\n\n if (files != null) {\n for(String currentFile : files) {\n Vehicule voiture;\n try {\n FileInputStream fileIn = new FileInputStream(folderName + \"/\" + currentFile);\n ObjectInputStream in = new ObjectInputStream(fileIn);\n voiture = (Vehicule) in.readObject();\n addVoitureToList(voiture);\n in.close();\n fileIn.close();\n } catch (IOException i) {\n i.printStackTrace();\n return;\n } catch (ClassNotFoundException c) {\n System.out.println(\"#Erreur : Impossible de récupérer l'objet \" + currentFile);\n c.printStackTrace();\n return;\n }\n }\n }\n }", "private static void readFile() throws IOException\r\n\t{\r\n\t\tString s1;\r\n\t\tFileReader fr = new FileReader(filename);\r\n\t\tBufferedReader br = new BufferedReader(fr);\r\n\t\t\r\n\t\tSystem.out.println(\"\\ndbs3.txt File\");\r\n\t\twhile ((s1 = br.readLine())!=null)\r\n\t\t{\r\n\t\t\tSystem.out.println(s1);\r\n\t\t}//end while loop to read files\r\n\t\t\r\n\t\tbr.close();//close the buffered reader\r\n\t}", "public String[] read()\n {\n ArrayList<String> input = new ArrayList<String>();\n try\n {\n dir = new File(contextRef.getFilesDir(), filename);\n if (dir.exists())\n {\n Scanner contacts = new Scanner(dir);\n while (contacts.hasNextLine())\n {\n input.add(contacts.nextLine());\n }\n contacts.close();\n }\n }catch (Exception ex)\n {\n //debug(\"read file contents failure\");\n debug = \"test read failure\";\n }\n return input.toArray(new String[1]);\n }", "public void readFile(File f) {\r\n if(f.getName().endsWith(\".txt\")) {\r\n if(f.getName().equals(\"USQRecorders.txt\")) {\r\n readAndTxt(f); \r\n lab_android.setText(\"Android read in\");\r\n }else if(f.getName().equals(\"mdl_log.txt\")) {\r\n readModLog(f);\r\n lab_moodle.setText(\"Moodle read in\");\r\n }else if(f.getName().equals(\"mdl_chat_messages.txt\") \|\| f.getName().equals(\"mdl_forum_posts.txt\") \|\| f.getName().equals(\"mdl_quiz_attempts.txt\")) {\r\n \treadtabs(f);\r\n }else{\r\n //illegal file name\r\n //JOptionPane.showMessageDialog(null, \"only accept .txt file named 'USQRecorders.txt','mdl_log.txt','mdl_chat_messages.txt','mdl_forum_posts.txt' and 'mdl_quiz_attempts.txt'\", \"System Message\", JOptionPane.ERROR_MESSAGE);\r\n }\r\n if(fromzip == false) {\r\n copyOldtxt(f);\r\n }\r\n } else if(f.getName().endsWith(\".zip\")) {\r\n if(f.getName().endsWith(\".zip\"))fromzip=true;\r\n readZip(f);\r\n copyOldtxt(f);\r\n //delete original\r\n File del = new File(workplace + \"/temp/USQ_IMAGE\");\r\n File dels[] = del.listFiles();\r\n for(int i=0 ; i<dels.length ; i++){\r\n dels[i].delete();\r\n }\r\n File tmp = new File(workplace + \"/temp/USQ_IMAGE/\");\r\n tmp.delete();\r\n tmp = new File(workplace + \"/temp\");\r\n tmp.delete();\r\n lab_android.setText(\"Android read in\");\r\n } else if(f.getName().endsWith(\".png\")) {\r\n readImage(f);\r\n }\r\n }", "public String[] openFile() throws IOException\n\t{\n\t\t//Creates a FileReader and BufferedReader to read from the file that you pass it\n\t\tFileReader fr = new FileReader(path);\n\t\tBufferedReader textReader = new BufferedReader(fr);\n\t\t\n\t\t//Set the variable to the number of lines in the text file through the function in this class that is defined below\n\t\tnumberOfLines = readLines();\n\t\t//Creates an array of strings with size of how many lines of data there are in the file\n\t\tString[] textData = new String[numberOfLines];\n\t\t\n\t\t//Loop to read the lines from the text file for the song data\n\t\tfor (int i = 0; i < numberOfLines; i++)\n\t\t{\n\t\t\t//Read data from song file and into the string list\n\t\t\ttextData[i] = textReader.readLine();\n\t\t}\n\t\t\n\t\t//Close the BufferedReader that was opened\n\t\ttextReader.close();\n\t\t\n\t\t//Return the read data from the text file in the form of a string array\n\t\treturn textData;\n\t}", "void citire(FileReader f);", "public static void readMyFile() throws IOException {\n\n List<String> allLines = Files.readAllLines(Paths.get(\"src/ErfansInputFile\"));\n System.out.println(\"allLines = \" + allLines);\n System.out.println(\"Reading the file in my computer. \");\n\n throw new FileNotFoundException(\"Kaboom, file is not found!!!\");\n }", "public List<String> readFile() {\n \n try {\n ensureFileExists();\n return Files.readAllLines(filePath);\n } catch (FileNotFoundException ex) {\n return new ArrayList<>();\n } catch (IOException ex) {\n ex.printStackTrace();\n return new ArrayList<>();\n }\n }", "public fileReaderDesignated() throws FileNotFoundException{\n\t\tBufferedReader in=new BufferedReader(new FileReader(fileName));\n\t\ttry {\n\t\t\treadLargerTextFile(fileName);\n\t\t} catch (IOException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "public void readResult() {\n File dirXml = new File(System.getProperty(\"user.dir\") + \"/target/classes/\");\n /// Get Parent Directory\n String parentDirectory = dirXml.getParent();\n File folder = new File(parentDirectory + \"/jbehave\");\n File[] listOfFiles = folder.listFiles();\n\n if (listOfFiles != null) {\n for (File listOfFile : listOfFiles) {\n if (listOfFile.isFile()) {\n String filePath = folder.getPath() + \"/\" + listOfFile.getName();\n System.out.println(\"File \" + filePath);\n if (filePath.contains(\".xml\") && !filePath.contains(\"AfterStories\") && !filePath.contains(\n \"BeforeStories\")) {\n readXML(filePath);\n }\n }\n }\n }\n }", "private void readFileList() throws IOException {\n\t\tint entries = metadataFile.readInt();\n\n\t\tfor (int i = 0; i < entries; i++) {\n\t\t\tint hash = metadataFile.readInt();\n\t\t\tlong dataOffset = metadataFile.readInt() & 0xFFFFFFFFL;\n\t\t\tlong dataSize = metadataFile.readInt() & 0xFFFFFFFFL;\n\t\t\tint pathListIndex = metadataFile.readInt();\n\n\t\t\tlong position = metadataFile.getPosition();\n\t\t\tmetadataFile.setPosition(pathListOffset + 8 + (pathListIndex * 8));\n\n\t\t\tlong pathOffset = metadataFile.readInt() & 0xFFFFFFFFL;\n\t\t\tint pathSize = metadataFile.readInt();\n\n\t\t\tmetadataFile.setPosition(pathListOffset + pathOffset);\n\t\t\tString path = metadataFile.readString(pathSize).trim();\n\n\t\t\tif (hash == hash(path)) \n\t\t\t\tfileEntries.add(new RAFFileEntry(dataOffset, dataSize, path));\n\t\t\telse\n\t\t\t\tthrow new IOException(\"Invalid hash for item '\" + path + \"'.\");\n\n\t\t\tmetadataFile.setPosition(position);\n\t\t}\n\t}", "@SuppressWarnings(\"unused\")\n private void _read() {\n }", "public String readFileContents(String filename) {\n return null;\n\n }", "public List<String> readFileContents(String filePath) throws APIException;", "static void read()\n\t\t{\n\n\n\t\t\tString content=new String();\n\t\t\ttry {\n\t\t\t\tFile file=new File(\"Dic.txt\");\n\t\t\t\tScanner scan=new Scanner(file);\n\t\t\t\twhile(scan.hasNextLine()) {\n\t\t\t\t\tcontent=scan.nextLine();\n\t\t\t\t//\tSystem.out.println(content);\n\n\t\t\t\t//\tString [] array=content.split(\" \");\n\t\t\t\t\tlist.add(content.trim());\n\n\t\t\t\t}\n\t\t\t\tscan.close(); \n\t\t\t}\n\t\t\tcatch (Exception e) {\n\t\t\t\tSystem.out.println(e);\n\t\t\t}\n\n\n\t\t}", "private FileManager()\n {\n bookFile.open(\"bookdata.txt\");\n hisFile.open(\"history.txt\");\n idFile.open(\"idpassword.txt\");\n createIDMap();\n createHisMap(Customer.getInstance());\n }", "protected String[] readInFile(String filename) {\n Vector<String> fileContents = new Vector<String>();\n try {\n InputStream gtestResultStream1 = getClass().getResourceAsStream(File.separator +\n TEST_TYPE_DIR + File.separator + filename);\n BufferedReader reader = new BufferedReader(new InputStreamReader(gtestResultStream1));\n String line = null;\n while ((line = reader.readLine()) != null) {\n fileContents.add(line);\n }\n }\n catch (NullPointerException e) {\n CLog.e(\"Gest output file does not exist: \" + filename);\n }\n catch (IOException e) {\n CLog.e(\"Unable to read contents of gtest output file: \" + filename);\n }\n return fileContents.toArray(new String[fileContents.size()]);\n }", "@Override\n public Ini read(Path path) throws IOException {\n try (Reader reader = Files.newBufferedReader(path)) {\n return read(reader);\n }\n }", "static List<String> fileReader(String fileName){\n \n \n //Read a file and store the content in a string array.\n File f = new File(fileName);\n BufferedReader reader = null;\n String tempString = null;\n List<String> fileContent = new ArrayList<String>();\n //String[] fileContent = null;\n //int i = 0;\n \n try {\n reader = new BufferedReader(new FileReader(f));\n while ((tempString = reader.readLine()) != null){\n //while ((fileContent[i] = reader.readLine()) != null){\n fileContent.add(tempString);\n //i++;\n }\n reader.close();\n } catch (FileNotFoundException e) {\n // TODO Auto-generated catch block\n e.printStackTrace();\n } catch (IOException e) {\n // TODO Auto-generated catch block\n e.printStackTrace();\n }\n finally{\n if (reader != null){\n try{\n reader.close();\n }\n catch(IOException e){\n e.printStackTrace();\n }\n }\n }\n \n return fileContent;\n \n }", "public Stream<Path> loadAll() {\n\t\ttry\n\t\t{\n\t\t\tSystem.out.println(\"File Retrived\");\n\t\t\treturn Files.walk(this.path, 1).filter(path->!path.equals(this.path)).map(this.path::relativize);\n\t\t}catch(Exception e)\n\t\t{\n\t\t\te.printStackTrace();\n\t\t\tSystem.out.println(\"File Retrived Error\");\n\t\t}\n\t\treturn null;\n\t}", "private void readFile() {\n try (BufferedReader br = new BufferedReader(new FileReader(\"../CS2820/src/production/StartingInventory.txt\"))) {\n String line = br.readLine();\n while (line != null) {\n line = br.readLine();\n this.items.add(line);\n }\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "private void readFile() {\r\n\t\tScanner sc = null; \r\n\t\ttry {\r\n\t\t\tsc = new Scanner(inputFile);\t\r\n\t\t\twhile(sc.hasNextLine()){\r\n\t\t\t\tgrade.add(sc.nextLine());\r\n\t } \r\n\t\t}\r\n\t\tcatch (FileNotFoundException e) {\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tfinally {\r\n\t\t\tsc.close();\r\n\t\t}\t\t\r\n\t}", "private String[] readFile(InputStream stream) throws StorageException {\r\n try {\r\n return readFile(new BufferedReader(new InputStreamReader(stream)));\r\n } catch (Exception exception) {\r\n throw new StorageException(\"Cannot read file \");\r\n }\r\n }", "protected abstract void parseFile(File f) throws IOException;", "public fileReaderTest()\n {\n }", "public List<Task> readFile() throws FileNotFoundException, DukeException {\n List<Task> output = new ArrayList<>();\n Scanner sc = new Scanner(file);\n while (sc.hasNext()) {\n output.add(readTask(sc.nextLine()));\n }\n return output;\n }", "public InputStream readFile( String fileName, FileType type );", "public void readFile(String name) {\n\t\tString filename = this.path + name;\n\t\tFile file = new File(filename);\n\t\t\n\t\t\n\t\ttry {\t\t \n\t\t\tScanner reader = new Scanner(file);\n\t\t\t\n\t\t\twhile (reader.hasNextLine()) {\n\t\t\t\tString data = reader.nextLine();\n\t\t System.out.println(data);\n\t\t\t}\n\t\t reader.close();\n\t\t} catch (FileNotFoundException e) {\n\t\t System.out.println(\"File not found!\");\n\t\t} \n\t}", "public abstract String getFileLocation();", "protected abstract InputStream getFile(final String path);", "public ArrayList<String> readFromFile(){\n ArrayList<String> results = new ArrayList<>();\n //Wrap code in a try/ catch to help with exception handling.\n try{\n //Create a object of Scanner class\n Scanner s = new Scanner(new FileReader(path));\n //While loop for iterating thru the file.\n // Reads the data and adds it to the ArrayList.\n while(s.hasNext()) {\n String c1 = s.next();\n String c2 = s.next();\n String w = s.next();\n results.add(c1);\n results.add(c2);\n results.add(w);\n }return results;\n\n }//File not found exception block.\n catch(FileNotFoundException e){\n System.out.println(e);\n }\n return results;//default return.\n }", "public abstract void readFromFile(String key, String value);", "public void get(String file) {\n\n }", "@Test\n\tpublic void testReadTxtFile() throws FileNotFoundException {\n\t\tFileParser fp = new FileParser();\n\t\tArrayList<String> parsedLines = fp.readTxtFile(\"test.txt\");\n\t\tassertEquals(\"This is a test file\", parsedLines.get(0));\n\t\tassertEquals(\"University of Virginia\", parsedLines.get(1));\n\n\t\tArrayList<String> parsedWords = fp.readTxtFile(\"test1.txt\");\n\t\tassertEquals(\"test\", parsedWords.get(0));\n\t\tassertEquals(\"file\", parsedWords.get(1));\n\t}", "File openFile();", "@Override\n @SneakyThrows\n public void process() {\n process(new FileReader(new File(fileName)));\n }", "private ArrayList<String> readReturnFileContents(String fileName){\n String startingDir = System.getProperty(\"user.dir\");\n BufferedReader reader = null;\n String line = \"\";\n ArrayList<String> wholeFile = new ArrayList<String>();\n try {\n reader = new BufferedReader(new FileReader(startingDir + \"/\" + fileName));\n while ((line = reader.readLine()) != null) {\n wholeFile.add(line);\n }\n } catch (FileNotFoundException fnfe) {\n System.out.println(fnfe.getMessage());\n System.exit(1);\n } catch (NullPointerException npe) {\n System.out.println(npe.getMessage());\n System.exit(1);\n } catch (Exception ex) {\n System.out.println(ex.getMessage());\n System.exit(1);\n }\n return wholeFile;\n }", "List<File> getSystemDescriptionFiles();", "public synchronized boolean isReadingFromFile(){\n\t\treturn isReadingFromFile;\n\t}", "@Override\n public InputStream openInternalInputFile(String pathname) throws IOException {\n return new FileInputStream(pathname);\n }", "private void load(FileInputStream input) {\n\t\t\r\n\t}", "private String[] readFile(String path) throws StorageException {\r\n try {\r\n return readFile(new BufferedReader(new FileReader(new File(path))));\r\n } catch (Exception exception) {\r\n throw new StorageException(\"Cannot read file \" + path + \":\" + exception.getMessage());\r\n }\r\n }", "private List<String> readFile() throws FileNotFoundException {\t\n\t\tList<String> itemsLines = new ArrayList<>();\n\t\tFile inputFile = new File(filePath);\t\n\t\ttry (Scanner newScanner = new Scanner(inputFile)) {\n\t\t\twhile(newScanner.hasNextLine()) {\n\t\t\t\titemsLines.add(newScanner.nextLine());\n\t\t\t}\t\n\t\t}\n\t\treturn itemsLines;\n\t}", "public String[] readFile() {\n\t\t\n\t\tFile file = null;\n\t\tString[] contenu = new String[2];\n\t\tMonFileChooser ouvrir = new MonFileChooser();\n\t\tint resultat = ouvrir.showOpenDialog(null);\n\t\tif (resultat == MonFileChooser.APPROVE_OPTION) {\n\t\t\tfile = ouvrir.getSelectedFile();\n\t\t\tcontenu[0]=file.getName();\n\t\t\n\t\t\n\t\t\ttry {\n\t\t\t\tString fileContent = null;\n\t\t\t\tcontenu[1] = \"\";\n\t\t\t\tBufferedReader br = new BufferedReader(new FileReader(file)); \n\t\t\t\twhile((fileContent = br.readLine()) != null) {\n\t\t\t\t\tif (fileContent != null)\n\t\t\t\t\tcontenu[1] += fileContent+\"\\n\";\n\t\t\t}\n\t\t\t br.close();\n\t\t\t} catch (FileNotFoundException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t} catch (IOException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t\topenFiles.add(file);\n\t\t}\n\t\treturn contenu;\t\n\t}", "private FileUtil() {\n \t\tsuper();\n \t}", "public static void read6() {\n List<String> list = new ArrayList<>();\n\n try (BufferedReader br = Files.newBufferedReader(Paths.get(filePath))) {\n\n //br returns as stream and convert it into a List\n list = br.lines().collect(Collectors.toList());\n\n } catch (IOException e) {\n e.printStackTrace();\n }\n\n list.forEach(System.out::println);\n }", "@Override\n public InputStream openInputFile(String pathname) throws IOException {\n return new FileInputStream(pathname);\n }", "public String readMultipleFromFiles()\n {\n String result = \"\";\n try\n {\n FileReader fileReader = new FileReader(filename);\n try\n {\n StringBuffer stringBuffer = new StringBuffer();\n Scanner scanner = new Scanner(fileReader);\n while (scanner.hasNextLine())\n {\n stringBuffer.append(scanner.nextLine()).append(\"\\n\");\n }\n stringBuffer.delete(stringBuffer.length() - 1, stringBuffer.length());\n result = stringBuffer.toString();\n } finally\n {\n fileReader.close();\n }\n } catch (FileNotFoundException e)\n {\n System.out.println(\"There is no such file called \" + filename);\n } catch (IOException e)\n {\n System.out.println(\"read \" + filename + \" error!!!\");\n } catch (NumberFormatException e)\n {\n System.out.println(\"content in file \" + filename + \" is error\");\n }\n return result;\n }", "@Override\n public int getFile() {\n return file;\n }", "private FileReader openLabelsFile() {\n FileReader file = null;\n try {\n file = new FileReader(riaaLabelsFile);\n } catch (FileNotFoundException e) {\n e.printStackTrace();\n }\n return file;\n }", "public void handleOpenFile (File inFile) {\n openFile (inFile);\n }", "public static void main(String[] args) {\n\t\tFile f = new File(\"src/com/briup/java_day19/ch11/FileTest.txt\");// \"src/com/briup/\"(win and linux)\r\n\t\t\r\n\t\tSystem.out.println(f);\r\n\t\tSystem.out.println(f.exists());\r\n\t\tif(!f.exists()){\r\n\t\t\ttry {\r\n\t\t\t\tf.createNewFile();\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\t\tSystem.out.println(f.canWrite());\r\n\t\tSystem.out.println(f.canExecute());\r\n\t\tSystem.out.println(f.canRead());\r\n\t\tSystem.out.println(f.getAbsolutePath());//override toString\r\n\t\tSystem.out.println(f.getAbsoluteFile());\r\n\t\tSystem.out.println(f.getName());\r\n\t\tSystem.out.println(f.getParent());\r\n\t\tSystem.out.println(f.getParentFile());\r\n\t\tSystem.out.println(f.isDirectory());\r\n\t\tSystem.out.println(f.isFile());\r\n\t\tSystem.out.println(f.length());//how many byte\r\n\t\t\r\n\t\tSystem.out.println(\"=================\");\r\n\t\tString[] str = f.getParentFile().list();\r\n\t\tSystem.out.println(Arrays.toString(str));\r\n\t\tfor(String s:str){\r\n\t\t\tSystem.out.println(s);\r\n\t\t}\r\n\t\tSystem.out.println(\"=================\");\r\n\t\tFile pf = f.getParentFile();\r\n\t\tString[] str2 = pf.list(new FilenameFilter() {\r\n\t\t\t\r\n\t\t\t@Override\r\n\t\t\tpublic boolean accept(File dir, String name) {\r\n\t\t\t\t//文件名以txt结尾的\r\n//\t\t\t\treturn name.endsWith(\"java\");\r\n//\t\t\t\treturn name.contains(\"Byte\");\r\n\t\t\t\treturn name.startsWith(\"Byte\");\r\n\t\t\t}\r\n\t\t});\r\n\t\tfor(String s:str2){\r\n\t\t\tSystem.out.println(s);\r\n\t\t}\r\n\t\t\r\n\t}", "@Override\n\t\t\t\t\tpublic void handle(File file)\n\t\t\t\t\t{\n\t\t\t\t\t\t\n\t\t\t\t\t}", "@Override\n\tpublic void readImages() {\n\t\t\n\t}", "private static List<String> readFile(File file) throws IOException {\n return Files.readAllLines(file.toPath());\n }", "private static List<String> readFile(File file) throws IOException {\n return Files.readAllLines(file.toPath());\n }", "public static void read7() {\n //read file into stream, try-with-resources\n try (Stream<String> stream = Files.lines(Paths.get(filePath))) {\n\n stream.forEach(System.out::println);\n\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "public interface FileReader {\n\n String read(String fileName);\n}", "FileObject getFile();", "FileObject getFile();", "public interface FileInterface {\n\t/*\n\t Operation that allows to read an input file to a data structure.\n\t /\n\tpublic void readFile();\n\t/\n\t Operation that allows to read an input file and select a specific fraction into a string array.\n\t * @return Array of strings containing a specific fraction of the file.\n\t /\n\tpublic String[] readClasses();\n}", "void readFile()\n {\n Scanner sc2 = new Scanner(System.in);\n try {\n sc2 = new Scanner(new File(\"src/main/java/ex45/exercise45_input.txt\"));\n } catch (FileNotFoundException e) {\n e.printStackTrace();\n }\n while (sc2.hasNextLine()) {\n Scanner s2 = new Scanner(sc2.nextLine());\n while (s2.hasNext()) {\n //s is the next word\n String s = s2.next();\n this.readFile.add(s);\n }\n }\n }", "static List<String> read() {\n String fileName = getFilePath();\n List<String> urls = new ArrayList<>();\n \n if (Files.notExists(Paths.get(fileName))) {\n return urls;\n }\n \n try (Stream<String> stream = Files.lines(Paths.get(fileName))) {\n urls = stream\n // Excludes lines that start with # as that is used for comments\n // and must start with http:// as that is required by crawler4j.\n .filter(line -> !line.startsWith(\"#\") &&\n line.startsWith(\"http://\") \|\| line.startsWith(\"https://\"))\n .map(String::trim)\n .map(String::toLowerCase)\n .collect(Collectors.toList());\n } catch (IOException e) {\n e.printStackTrace();\n }\n \n return urls;\n }", "public void readFile() {\r\n\t\tBufferedReader br = null;\r\n\r\n\t\ttry {\r\n\r\n\t\t\tString currentLine;\r\n\r\n\t\t\tbr = new BufferedReader(new FileReader(fileName));\r\n\r\n\t\t\twhile ((currentLine = br.readLine()) != null) {\r\n\r\n\t\t\t\tif (!currentLine.equals(\"\")) {\r\n\t\t\t\t\tString[] paragraphs = currentLine.split(\"\\\\n\\\\n\");\r\n\r\n\t\t\t\t\tfor (String paragraphEntry : paragraphs) {\r\n\t\t\t\t\t\t//process(paragraphEntry);\r\n\t\t\t\t\t\t//System.out.println(\"Para:\"+paragraphEntry);\r\n\t\t\t\t\t\tParagraph paragraph = new Paragraph();\r\n\t\t\t\t\t\tparagraph.process(paragraphEntry);\r\n\t\t\t\t\t\tthis.paragraphs.add(paragraph);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\r\n\t\t\t}\r\n\r\n\t\t} catch (IOException e) {\r\n\t\t\te.printStackTrace();\r\n\t\t} finally {\r\n\t\t\ttry {\r\n\t\t\t\tif (br != null)br.close();\r\n\t\t\t} catch (IOException ex) {\r\n\t\t\t\tex.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t}", "public abstract List<String> getFiles( );", "@Override\n public InputStream open() throws IOException {\n return getClass().getClassLoader().getResourceAsStream(name);\n }", "public String[] getFile() throws IOException {\n\t\n\t\n\ttry {\n\tFileReader reader = new FileReader(path);\n\tBufferedReader textReader = new BufferedReader(reader); // creates buffered file reader again\n\t\n\tint numberOfLines = getLines(); // calls the method above to know how many lines there are\n\tString[ ] textData = new String[numberOfLines]; //creates an array the size of the amount of lines the file has\n\t\n\tfor (int i=0; i < numberOfLines; i++) {\n\t\ttextData[ i ] = textReader.readLine(); // go through file and read each line into its own array space\n\t\t}\n\t\n\ttextReader.close( ); //reader is done\n\treturn textData; // return array\n\t} catch (IOException e) {\n\t\tString[] exceptionString = new String[1];\n\t\texceptionString[0] = \"nothing\";\n\t\treturn exceptionString;\n\t}\n}", "public void read() {\n String line = \"\";\n int counter = 0;\n try {\n input = new BufferedReader(new FileReader(file));\n while (line != null) {\n if (!(line.equals(\"arglebargle\"))) {//not a default\n names.add(line);\n }\n }\n input.close();\n }\n catch (IOException e) {\n }\n }", "public synchronized int load()\n {\n int cb = (maxFiles maxChars * SysLib.CBCHAR) + \n (maxFiles * SysLib.CBINT);\n byte b[] = new byte[cb];\n files.clear();\n int fileNameOffset = maxFiles * SysLib.CBINT;\n int offset = 0;\n\n // Read the entire potential directory listing\n if (inode.read(0, b) < 0)\n {\n return -1;\n }\n\n for (int i = 0; i < maxFiles; i++)\n {\n // Read the file name length\n int strLen = SysLib.bytes2int(b, offset);\n offset += SysLib.CBINT;\n\n // Read the file name, if one is stored\n if (strLen > 0)\n {\n byte strBytes[] = new byte[strLen * SysLib.CBCHAR];\n\n System.arraycopy(b, fileNameOffset, strBytes, 0,\n strBytes.length);\n\n files.add(new String(strBytes));\n\n fileNameOffset += strLen;\n }\n // Add a zero-length placeholder for this listing\n else\n {\n files.add(new String(\"\"));\n }\n }\n\n return 0;\n }", "@Test\n public void testFileReading() throws Exception {\n String[] args = new String[1];\n args[0] = testFile;\n ConferenceManager.main(args);\n\n }" ]	[ "0.7847521", "0.72478366", "0.7134119", "0.7118788", "0.7102266", "0.7054395", "0.685893", "0.68391293", "0.6693561", "0.6620349", "0.6614236", "0.6549883", "0.6492622", "0.6488156", "0.64285237", "0.6426996", "0.6402516", "0.6381167", "0.63810164", "0.6363441", "0.63555235", "0.63507706", "0.63406", "0.6339994", "0.63320595", "0.630101", "0.62873316", "0.62857956", "0.6275123", "0.6274255", "0.62710977", "0.6263499", "0.62561905", "0.6248792", "0.6245445", "0.6244988", "0.623709", "0.6236411", "0.6219725", "0.62163055", "0.6211558", "0.62055343", "0.61944175", "0.6190763", "0.61751556", "0.6161038", "0.615213", "0.614009", "0.61381537", "0.612273", "0.6120098", "0.6119912", "0.61173433", "0.6108938", "0.60636395", "0.60559314", "0.6055241", "0.6052919", "0.6051948", "0.60494155", "0.6048857", "0.60474086", "0.60350174", "0.60335606", "0.6014588", "0.6013437", "0.5992461", "0.5990333", "0.59726584", "0.59693384", "0.59685576", "0.5967611", "0.59652025", "0.5954124", "0.5951916", "0.5950313", "0.5949671", "0.5949357", "0.59456456", "0.5941319", "0.5939391", "0.5934915", "0.5925329", "0.59186006", "0.59059674", "0.59007347", "0.59007347", "0.5893599", "0.58927494", "0.58886814", "0.58886814", "0.5887504", "0.5884023", "0.5882413", "0.5880842", "0.587191", "0.58715415", "0.5870852", "0.58584243", "0.58570665", "0.5852975" ]	0.0	-1
Used for reading files.	public static String getStringFromFile(String s, String dir) throws IOException { return getStringFromFile(dir + s); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public void readFromFile() {\n\n\t}", "protected abstract void readFile();", "public void fileRead() {\n\t\tString a, b;\n\t\t\n\t\twhile (input.hasNext()) {\n\t\t\ta = input.next();\n\t\t\tb = input.next();\n\t\t\tSystem.out.printf(\"%s %s\\n\", a, b);\n\t\t}\n\t}", "public static void reading(String fileName)\n {\n\n }", "public abstract void readFromFile( ) throws Exception;", "public void readFile();", "public void fileRead(String filename) throws IOException;", "List readFile(String pathToFile);", "public FilesInputStreamLoad readFile() throws ArcException {\r\n\tFile dir = new File(this.archiveChargement + \".dir\");\r\n\tString fileName = ManipString.substringAfterFirst(this.idSource, \"_\");\r\n\tFile toRead = new File(dir + File.separator + ManipString.redoEntryName(fileName));\r\n\tFilesInputStreamLoad filesInputStreamLoadReturned = null;\r\n\ttry {\r\n\t\tfilesInputStreamLoadReturned = new FilesInputStreamLoad (toRead);\r\n\t} catch (IOException ioReadException) {\r\n\t\tthrow new ArcException(ioReadException, ArcExceptionMessage.FILE_READ_FAILED, toRead);\r\n\t}\r\n\treturn filesInputStreamLoadReturned;\r\n }", "public void readFiles() {\n\t\t\n\t\ttry {\n\t\t\t\n\t\t\t// Open BufferedReader to open connection to tipslocation URL and read file\n\t\t\tBufferedReader reader1 = new BufferedReader(new InputStreamReader(tipsLocation.openStream()));\n\t\t\t\n\t\t\t// Create local variable to parse through the file\n\t String tip;\n\t \n\t // While there are lines in the file to read, add lines to tips ArrayList\n\t while ((tip = reader1.readLine()) != null) {\n\t tips.add(tip);\n\t }\n\t \n\t // Close the BufferedReader\n\t reader1.close();\n\t \n\t \n\t // Open BufferedReader to open connection to factsLocation URL and read file\n\t BufferedReader reader2 = new BufferedReader(new InputStreamReader(factsLocation.openStream()));\n\t \n\t // Create local variable to parse through the file\n\t String fact;\n\t \n\t // While there are lines in the file to read: parses the int that represents\n\t // the t-cell count that is associated with the line, and add line and int to \n\t // tCellFacts hashmap\n\t while ((fact = reader2.readLine()) != null) {\n\t \t\n\t \tint tCellCount = Integer.parseInt(fact);\n\t \tfact = reader2.readLine();\n\t \t\n\t tCellFacts.put(tCellCount, fact);\n\t }\n\t \n\t // Close the second BufferedReader\n\t reader2.close();\n\t \n\t\t} catch (FileNotFoundException e) {\n\t\t\t\n\t\t\tSystem.out.println(\"Error loading files\"); e.printStackTrace();\n\t\t\t\n\t\t} catch (IOException e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "private void getFiles() {\n\t\ttry {\n\t\t\tFileReader fr = new FileReader(inputFileName);\n\t\t\tinputBuffer = new BufferedReader(fr);\n\n\t\t\tFileWriter fw = new FileWriter(outputFileName);\n\t\t\toutputBuffer = new BufferedWriter(fw);\n\t\t} catch (FileNotFoundException e) {\n\t\t\tSystem.out.println(\"File not found: \" + e.getMessage());\n\t\t\tSystem.exit(-2);\n\t\t} catch (IOException e) {\n\t\t\tSystem.out.println(\"IOException \" + e.getMessage());\n\t\t\te.printStackTrace();\n\t\t\tSystem.exit(-3);\n\t\t}\n\t}", "protected abstract E readFile() throws Exception;", "protected List<String> readFile()\n {\n // Base size 620 for Google KML icons. This might be slow for larger\n // sets.\n List<String> lines = New.list(620);\n try (BufferedReader reader = new BufferedReader(\n new InputStreamReader(getClass().getResourceAsStream(myImageList), StringUtilities.DEFAULT_CHARSET)))\n {\n for (String line = reader.readLine(); line != null; line = reader.readLine())\n {\n lines.add(line);\n }\n }\n catch (IOException e)\n {\n LOGGER.warn(e.getMessage());\n }\n return lines;\n }", "private void fileRead(String path)\n\t{\n\t\ttry\n\t\t{\n\t\t\t// create file\n\t\t\tFile file = new File(path);\n\t\t\tFileInputStream fileStream = new FileInputStream(file);\n\t\t\t\n\t\t\t// data read\n\t\t\tthis.dataContent = new byte[(int)file.length()];\n\t\t\tint ret = fileStream.read(this.dataContent, 0, (int)file.length());\n\t\t}\n\t\tcatch(FileNotFoundException e)\n\t\t{\n\t\t\tSystem.out.println(\"File Not Found : \" + e.getMessage());\n\t\t}\n\t\tcatch(IOException e)\n\t\t{\n\t\t\tSystem.out.println(\"Failed File Read : \" + e.getMessage());\n\t\t}\n\t\t\n\t}", "@Override\n protected void read(){\n try(BufferedReader bufferedReader = new BufferedReader(new FileReader(getPath()));) {\n\n String frequencyString;\n\n String frequencyFileFormat = \"([a-z]\\\\s\\\\d+\\\\.\\\\d+)\";\n Pattern pattern = Pattern.compile(frequencyFileFormat);\n Matcher matcher;\n\n String[] frequency;\n\n // Read in each line of the frequencies file\n while ((frequencyString = bufferedReader.readLine()) != null) {\n // Match the frequency format to a individual frequency\n matcher = pattern.matcher(frequencyString);\n if(matcher.find()){\n\n // Split the string into the character and its frequency\n frequency = matcher.group(1).split(\" \");\n\n // Add the string and its corresponding frequency to the frequencies hash map\n frequencies.put(frequency[0], Double.parseDouble(frequency[1]));\n \n }\n }\n\n // Only set to true if it successfully reads the whole file\n setFileRead();\n }\n catch(FileNotFoundException e){\n e.printStackTrace();\n }\n catch(IOException e){\n e.printStackTrace();\n }\n }", "protected abstract Object readFile(BufferedReader buf) throws IOException, FileParseException;", "protected void openFiles() {\n\t\tthis.container = fso.openFile(prefix+EXTENSIONS[CTR_FILE],\"rw\");\n\t\tthis.metaData = fso.openFile(prefix+EXTENSIONS[MTD_FILE], \"rw\");\n\t\tthis.reservedBitMap = fso.openFile(prefix+EXTENSIONS[RBM_FILE], \"rw\");\n\t\tthis.updatedBitMap = fso.openFile(prefix+EXTENSIONS[UBM_FILE], \"rw\");\n\t\tthis.freeList = fso.openFile(prefix+EXTENSIONS[FLT_FILE], \"rw\");\n\t}", "private void readSourceData() throws Exception {\n\t\tthis.fileDataList = new ArrayList<String>();\n\t\tReader reader = new Reader(this.procPath);\n\t\treader.running();\n\t\tthis.fileDataList = reader.getFileDataList();\n\t}", "private void ReadTextFile(String FilePath) {\n\t\t\n\t\t\n\t}", "private void read() {\n\n\t\t\t\tString road=getActivity().getFilesDir().getAbsolutePath()+\"product\"+\".txt\";\n\n\t\t\t\ttry {\n\t\t\t\t\tFile file = new File(road); \n\t\t\t\t\tFileInputStream fis = new FileInputStream(file); \n\t\t\t\t\tint length = fis.available(); \n\t\t\t\t\tbyte [] buffer = new byte[length]; \n\t\t\t\t\tfis.read(buffer); \n\t\t\t\t\tString res1 = EncodingUtils.getString(buffer, \"UTF-8\"); \n\t\t\t\t\tfis.close(); \n\t\t\t\t\tjson(res1.toString());\n\t\t\t\t} catch (IOException e) {\n\t\t\t\t\t// TODO Auto-generated catch block\n\t\t\t\t\te.printStackTrace();\n\t\t\t\t} \n\t\t\t}", "public interface ReaderFromFile {\n\t\n\tpublic List<Data> readDataFromFile (String filename);\n}", "public void readEntries() throws FileAccessException;", "protected abstract InputStream getInStreamImpl(String filename) throws IOException;", "public static void readFiles () throws FileNotFoundException{\n try {\n data.setFeatures(data.readFeatures(\"features.txt\"));\n data.setUnknown(data.readFeatures(\"unknown.txt\"));\n data.setTargets(data.readTargets(\"targets.txt\"));\n } catch (FileNotFoundException e) {\n System.out.println(\"Document not found\");\n }\n }", "private void openAndReadFile() throws IOException {\n\t\tFileReader fr = new FileReader(path);\n\t\tBufferedReader textreader = new BufferedReader(fr);\n\t\tString line;\n\t\tString[] parsedLine;\n\t\twhile ((line = textreader.readLine()) != null) {\n\t\t\tparsedLine = pattern.split(line);\n\t\t\tif (parsedLine.length == 2) {\n\t\t\t\tfileData.put(parsedLine[0], parsedLine[1]);\n\t\t\t}\n\t\t\telse {\n\t\t\t\tSystem.out.println(\"Couldn't read line \" + line + \" in \" + path);\n\t\t\t}\n\t\t}\n\t\ttextreader.close();\n\t\tfr.close();\n\t}", "private static ArrayList<String> readFile() throws ApplicationException {\r\n\r\n ArrayList<String> bookList = new ArrayList<>();\r\n\r\n File sourceFile = new File(FILE_TO_READ);\r\n try (BufferedReader input = new BufferedReader(new FileReader(sourceFile))) {\r\n\r\n if (sourceFile.exists()) {\r\n LOG.debug(\"Reading book data\");\r\n String oneLine = input.readLine();\r\n\r\n while ((oneLine = input.readLine()) != null) {\r\n\r\n bookList.add(oneLine);\r\n\r\n }\r\n input.close();\r\n } else {\r\n throw new ApplicationException(\"File \" + FILE_TO_READ + \" does not exsit\");\r\n }\r\n } catch (IOException e) {\r\n LOG.error(e.getStackTrace());\r\n }\r\n\r\n return bookList;\r\n\r\n }", "private void readItems() {\n // open file\n File file = getFilesDir();\n File todoFile = new File(file, \"scores.txt\");\n // try to find items to add\n try {\n items = new ArrayList<>(FileUtils.readLines(todoFile));\n } catch (IOException e) {\n items = new ArrayList<>();\n }\n }", "public void getFiles()\n\t{\n\t\tif(fileList.size() == 0)\n\t\t{\n\t\t\tSystem.out.println(\"There is no file or file not found\");\n\t\t}\n\t\tfor(int i = 0; i < fileList.size(); i++)\n\t\t{\n\t\t\tSystem.out.println(\"File is at: \" + fileList.get(i));\n\t\t}\n\t}", "public XMLReader()\r\n {\r\n \r\n String filePathHead = \"\";\r\n\r\n Path inputPath = Paths.get(\"src\\\\dataFiles\");\r\n\r\n try\r\n {\r\n filePathHead = inputPath.toRealPath().toString();\r\n System.out.println(\"PATH: \" + inputPath.toRealPath().toString());\r\n }\r\n catch (NoSuchFileException x)\r\n {\r\n System.err.format(\"%s: no such\" + \" file or directory%n\", filePathHead);\r\n // Logic for case when file doesn't exist.\r\n }\r\n catch (IOException x)\r\n {\r\n System.err.format(\"%s%n\", x);\r\n // Logic for other sort of file error.\r\n }\r\n }", "private List<String> readFile(String path) throws IOException {\n return Files.readAllLines (Paths.get (path), StandardCharsets.UTF_8);\n }", "public Files files();", "private void readSavedFile() {\n\n String[] files = new String[0];\n \n // On récupère la liste des fichiers\n File file = new File(folderName);\n\n // check if the specified pathname is directory first\n if(file.isDirectory()){\n //list all files on directory\n files = file.list();\n }\n\n if (files != null) {\n for(String currentFile : files) {\n Vehicule voiture;\n try {\n FileInputStream fileIn = new FileInputStream(folderName + \"/\" + currentFile);\n ObjectInputStream in = new ObjectInputStream(fileIn);\n voiture = (Vehicule) in.readObject();\n addVoitureToList(voiture);\n in.close();\n fileIn.close();\n } catch (IOException i) {\n i.printStackTrace();\n return;\n } catch (ClassNotFoundException c) {\n System.out.println(\"#Erreur : Impossible de récupérer l'objet \" + currentFile);\n c.printStackTrace();\n return;\n }\n }\n }\n }", "private static void readFile() throws IOException\r\n\t{\r\n\t\tString s1;\r\n\t\tFileReader fr = new FileReader(filename);\r\n\t\tBufferedReader br = new BufferedReader(fr);\r\n\t\t\r\n\t\tSystem.out.println(\"\\ndbs3.txt File\");\r\n\t\twhile ((s1 = br.readLine())!=null)\r\n\t\t{\r\n\t\t\tSystem.out.println(s1);\r\n\t\t}//end while loop to read files\r\n\t\t\r\n\t\tbr.close();//close the buffered reader\r\n\t}", "public String[] read()\n {\n ArrayList<String> input = new ArrayList<String>();\n try\n {\n dir = new File(contextRef.getFilesDir(), filename);\n if (dir.exists())\n {\n Scanner contacts = new Scanner(dir);\n while (contacts.hasNextLine())\n {\n input.add(contacts.nextLine());\n }\n contacts.close();\n }\n }catch (Exception ex)\n {\n //debug(\"read file contents failure\");\n debug = \"test read failure\";\n }\n return input.toArray(new String[1]);\n }", "public String[] openFile() throws IOException\n\t{\n\t\t//Creates a FileReader and BufferedReader to read from the file that you pass it\n\t\tFileReader fr = new FileReader(path);\n\t\tBufferedReader textReader = new BufferedReader(fr);\n\t\t\n\t\t//Set the variable to the number of lines in the text file through the function in this class that is defined below\n\t\tnumberOfLines = readLines();\n\t\t//Creates an array of strings with size of how many lines of data there are in the file\n\t\tString[] textData = new String[numberOfLines];\n\t\t\n\t\t//Loop to read the lines from the text file for the song data\n\t\tfor (int i = 0; i < numberOfLines; i++)\n\t\t{\n\t\t\t//Read data from song file and into the string list\n\t\t\ttextData[i] = textReader.readLine();\n\t\t}\n\t\t\n\t\t//Close the BufferedReader that was opened\n\t\ttextReader.close();\n\t\t\n\t\t//Return the read data from the text file in the form of a string array\n\t\treturn textData;\n\t}", "public void readFile(File f) {\r\n if(f.getName().endsWith(\".txt\")) {\r\n if(f.getName().equals(\"USQRecorders.txt\")) {\r\n readAndTxt(f); \r\n lab_android.setText(\"Android read in\");\r\n }else if(f.getName().equals(\"mdl_log.txt\")) {\r\n readModLog(f);\r\n lab_moodle.setText(\"Moodle read in\");\r\n }else if(f.getName().equals(\"mdl_chat_messages.txt\") \|\| f.getName().equals(\"mdl_forum_posts.txt\") \|\| f.getName().equals(\"mdl_quiz_attempts.txt\")) {\r\n \treadtabs(f);\r\n }else{\r\n //illegal file name\r\n //JOptionPane.showMessageDialog(null, \"only accept .txt file named 'USQRecorders.txt','mdl_log.txt','mdl_chat_messages.txt','mdl_forum_posts.txt' and 'mdl_quiz_attempts.txt'\", \"System Message\", JOptionPane.ERROR_MESSAGE);\r\n }\r\n if(fromzip == false) {\r\n copyOldtxt(f);\r\n }\r\n } else if(f.getName().endsWith(\".zip\")) {\r\n if(f.getName().endsWith(\".zip\"))fromzip=true;\r\n readZip(f);\r\n copyOldtxt(f);\r\n //delete original\r\n File del = new File(workplace + \"/temp/USQ_IMAGE\");\r\n File dels[] = del.listFiles();\r\n for(int i=0 ; i<dels.length ; i++){\r\n dels[i].delete();\r\n }\r\n File tmp = new File(workplace + \"/temp/USQ_IMAGE/\");\r\n tmp.delete();\r\n tmp = new File(workplace + \"/temp\");\r\n tmp.delete();\r\n lab_android.setText(\"Android read in\");\r\n } else if(f.getName().endsWith(\".png\")) {\r\n readImage(f);\r\n }\r\n }", "public static void readMyFile() throws IOException {\n\n List<String> allLines = Files.readAllLines(Paths.get(\"src/ErfansInputFile\"));\n System.out.println(\"allLines = \" + allLines);\n System.out.println(\"Reading the file in my computer. \");\n\n throw new FileNotFoundException(\"Kaboom, file is not found!!!\");\n }", "void citire(FileReader f);", "public List<String> readFile() {\n \n try {\n ensureFileExists();\n return Files.readAllLines(filePath);\n } catch (FileNotFoundException ex) {\n return new ArrayList<>();\n } catch (IOException ex) {\n ex.printStackTrace();\n return new ArrayList<>();\n }\n }", "public fileReaderDesignated() throws FileNotFoundException{\n\t\tBufferedReader in=new BufferedReader(new FileReader(fileName));\n\t\ttry {\n\t\t\treadLargerTextFile(fileName);\n\t\t} catch (IOException e) {\n\t\t\t// TODO Auto-generated catch block\n\t\t\te.printStackTrace();\n\t\t}\n\t}", "public void readResult() {\n File dirXml = new File(System.getProperty(\"user.dir\") + \"/target/classes/\");\n /// Get Parent Directory\n String parentDirectory = dirXml.getParent();\n File folder = new File(parentDirectory + \"/jbehave\");\n File[] listOfFiles = folder.listFiles();\n\n if (listOfFiles != null) {\n for (File listOfFile : listOfFiles) {\n if (listOfFile.isFile()) {\n String filePath = folder.getPath() + \"/\" + listOfFile.getName();\n System.out.println(\"File \" + filePath);\n if (filePath.contains(\".xml\") && !filePath.contains(\"AfterStories\") && !filePath.contains(\n \"BeforeStories\")) {\n readXML(filePath);\n }\n }\n }\n }\n }", "private void readFileList() throws IOException {\n\t\tint entries = metadataFile.readInt();\n\n\t\tfor (int i = 0; i < entries; i++) {\n\t\t\tint hash = metadataFile.readInt();\n\t\t\tlong dataOffset = metadataFile.readInt() & 0xFFFFFFFFL;\n\t\t\tlong dataSize = metadataFile.readInt() & 0xFFFFFFFFL;\n\t\t\tint pathListIndex = metadataFile.readInt();\n\n\t\t\tlong position = metadataFile.getPosition();\n\t\t\tmetadataFile.setPosition(pathListOffset + 8 + (pathListIndex * 8));\n\n\t\t\tlong pathOffset = metadataFile.readInt() & 0xFFFFFFFFL;\n\t\t\tint pathSize = metadataFile.readInt();\n\n\t\t\tmetadataFile.setPosition(pathListOffset + pathOffset);\n\t\t\tString path = metadataFile.readString(pathSize).trim();\n\n\t\t\tif (hash == hash(path)) \n\t\t\t\tfileEntries.add(new RAFFileEntry(dataOffset, dataSize, path));\n\t\t\telse\n\t\t\t\tthrow new IOException(\"Invalid hash for item '\" + path + \"'.\");\n\n\t\t\tmetadataFile.setPosition(position);\n\t\t}\n\t}", "@SuppressWarnings(\"unused\")\n private void _read() {\n }", "public String readFileContents(String filename) {\n return null;\n\n }", "public List<String> readFileContents(String filePath) throws APIException;", "static void read()\n\t\t{\n\n\n\t\t\tString content=new String();\n\t\t\ttry {\n\t\t\t\tFile file=new File(\"Dic.txt\");\n\t\t\t\tScanner scan=new Scanner(file);\n\t\t\t\twhile(scan.hasNextLine()) {\n\t\t\t\t\tcontent=scan.nextLine();\n\t\t\t\t//\tSystem.out.println(content);\n\n\t\t\t\t//\tString [] array=content.split(\" \");\n\t\t\t\t\tlist.add(content.trim());\n\n\t\t\t\t}\n\t\t\t\tscan.close(); \n\t\t\t}\n\t\t\tcatch (Exception e) {\n\t\t\t\tSystem.out.println(e);\n\t\t\t}\n\n\n\t\t}", "private FileManager()\n {\n bookFile.open(\"bookdata.txt\");\n hisFile.open(\"history.txt\");\n idFile.open(\"idpassword.txt\");\n createIDMap();\n createHisMap(Customer.getInstance());\n }", "protected String[] readInFile(String filename) {\n Vector<String> fileContents = new Vector<String>();\n try {\n InputStream gtestResultStream1 = getClass().getResourceAsStream(File.separator +\n TEST_TYPE_DIR + File.separator + filename);\n BufferedReader reader = new BufferedReader(new InputStreamReader(gtestResultStream1));\n String line = null;\n while ((line = reader.readLine()) != null) {\n fileContents.add(line);\n }\n }\n catch (NullPointerException e) {\n CLog.e(\"Gest output file does not exist: \" + filename);\n }\n catch (IOException e) {\n CLog.e(\"Unable to read contents of gtest output file: \" + filename);\n }\n return fileContents.toArray(new String[fileContents.size()]);\n }", "@Override\n public Ini read(Path path) throws IOException {\n try (Reader reader = Files.newBufferedReader(path)) {\n return read(reader);\n }\n }", "static List<String> fileReader(String fileName){\n \n \n //Read a file and store the content in a string array.\n File f = new File(fileName);\n BufferedReader reader = null;\n String tempString = null;\n List<String> fileContent = new ArrayList<String>();\n //String[] fileContent = null;\n //int i = 0;\n \n try {\n reader = new BufferedReader(new FileReader(f));\n while ((tempString = reader.readLine()) != null){\n //while ((fileContent[i] = reader.readLine()) != null){\n fileContent.add(tempString);\n //i++;\n }\n reader.close();\n } catch (FileNotFoundException e) {\n // TODO Auto-generated catch block\n e.printStackTrace();\n } catch (IOException e) {\n // TODO Auto-generated catch block\n e.printStackTrace();\n }\n finally{\n if (reader != null){\n try{\n reader.close();\n }\n catch(IOException e){\n e.printStackTrace();\n }\n }\n }\n \n return fileContent;\n \n }", "public Stream<Path> loadAll() {\n\t\ttry\n\t\t{\n\t\t\tSystem.out.println(\"File Retrived\");\n\t\t\treturn Files.walk(this.path, 1).filter(path->!path.equals(this.path)).map(this.path::relativize);\n\t\t}catch(Exception e)\n\t\t{\n\t\t\te.printStackTrace();\n\t\t\tSystem.out.println(\"File Retrived Error\");\n\t\t}\n\t\treturn null;\n\t}", "private void readFile() {\n try (BufferedReader br = new BufferedReader(new FileReader(\"../CS2820/src/production/StartingInventory.txt\"))) {\n String line = br.readLine();\n while (line != null) {\n line = br.readLine();\n this.items.add(line);\n }\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "private void readFile() {\r\n\t\tScanner sc = null; \r\n\t\ttry {\r\n\t\t\tsc = new Scanner(inputFile);\t\r\n\t\t\twhile(sc.hasNextLine()){\r\n\t\t\t\tgrade.add(sc.nextLine());\r\n\t } \r\n\t\t}\r\n\t\tcatch (FileNotFoundException e) {\r\n\t\t\te.printStackTrace();\r\n\t\t}\r\n\t\tfinally {\r\n\t\t\tsc.close();\r\n\t\t}\t\t\r\n\t}", "private String[] readFile(InputStream stream) throws StorageException {\r\n try {\r\n return readFile(new BufferedReader(new InputStreamReader(stream)));\r\n } catch (Exception exception) {\r\n throw new StorageException(\"Cannot read file \");\r\n }\r\n }", "protected abstract void parseFile(File f) throws IOException;", "public fileReaderTest()\n {\n }", "public List<Task> readFile() throws FileNotFoundException, DukeException {\n List<Task> output = new ArrayList<>();\n Scanner sc = new Scanner(file);\n while (sc.hasNext()) {\n output.add(readTask(sc.nextLine()));\n }\n return output;\n }", "public InputStream readFile( String fileName, FileType type );", "public void readFile(String name) {\n\t\tString filename = this.path + name;\n\t\tFile file = new File(filename);\n\t\t\n\t\t\n\t\ttry {\t\t \n\t\t\tScanner reader = new Scanner(file);\n\t\t\t\n\t\t\twhile (reader.hasNextLine()) {\n\t\t\t\tString data = reader.nextLine();\n\t\t System.out.println(data);\n\t\t\t}\n\t\t reader.close();\n\t\t} catch (FileNotFoundException e) {\n\t\t System.out.println(\"File not found!\");\n\t\t} \n\t}", "public abstract String getFileLocation();", "public ArrayList<String> readFromFile(){\n ArrayList<String> results = new ArrayList<>();\n //Wrap code in a try/ catch to help with exception handling.\n try{\n //Create a object of Scanner class\n Scanner s = new Scanner(new FileReader(path));\n //While loop for iterating thru the file.\n // Reads the data and adds it to the ArrayList.\n while(s.hasNext()) {\n String c1 = s.next();\n String c2 = s.next();\n String w = s.next();\n results.add(c1);\n results.add(c2);\n results.add(w);\n }return results;\n\n }//File not found exception block.\n catch(FileNotFoundException e){\n System.out.println(e);\n }\n return results;//default return.\n }", "protected abstract InputStream getFile(final String path);", "public abstract void readFromFile(String key, String value);", "public void get(String file) {\n\n }", "@Test\n\tpublic void testReadTxtFile() throws FileNotFoundException {\n\t\tFileParser fp = new FileParser();\n\t\tArrayList<String> parsedLines = fp.readTxtFile(\"test.txt\");\n\t\tassertEquals(\"This is a test file\", parsedLines.get(0));\n\t\tassertEquals(\"University of Virginia\", parsedLines.get(1));\n\n\t\tArrayList<String> parsedWords = fp.readTxtFile(\"test1.txt\");\n\t\tassertEquals(\"test\", parsedWords.get(0));\n\t\tassertEquals(\"file\", parsedWords.get(1));\n\t}", "File openFile();", "private ArrayList<String> readReturnFileContents(String fileName){\n String startingDir = System.getProperty(\"user.dir\");\n BufferedReader reader = null;\n String line = \"\";\n ArrayList<String> wholeFile = new ArrayList<String>();\n try {\n reader = new BufferedReader(new FileReader(startingDir + \"/\" + fileName));\n while ((line = reader.readLine()) != null) {\n wholeFile.add(line);\n }\n } catch (FileNotFoundException fnfe) {\n System.out.println(fnfe.getMessage());\n System.exit(1);\n } catch (NullPointerException npe) {\n System.out.println(npe.getMessage());\n System.exit(1);\n } catch (Exception ex) {\n System.out.println(ex.getMessage());\n System.exit(1);\n }\n return wholeFile;\n }", "@Override\n @SneakyThrows\n public void process() {\n process(new FileReader(new File(fileName)));\n }", "List<File> getSystemDescriptionFiles();", "public synchronized boolean isReadingFromFile(){\n\t\treturn isReadingFromFile;\n\t}", "@Override\n public InputStream openInternalInputFile(String pathname) throws IOException {\n return new FileInputStream(pathname);\n }", "private void load(FileInputStream input) {\n\t\t\r\n\t}", "private String[] readFile(String path) throws StorageException {\r\n try {\r\n return readFile(new BufferedReader(new FileReader(new File(path))));\r\n } catch (Exception exception) {\r\n throw new StorageException(\"Cannot read file \" + path + \":\" + exception.getMessage());\r\n }\r\n }", "private List<String> readFile() throws FileNotFoundException {\t\n\t\tList<String> itemsLines = new ArrayList<>();\n\t\tFile inputFile = new File(filePath);\t\n\t\ttry (Scanner newScanner = new Scanner(inputFile)) {\n\t\t\twhile(newScanner.hasNextLine()) {\n\t\t\t\titemsLines.add(newScanner.nextLine());\n\t\t\t}\t\n\t\t}\n\t\treturn itemsLines;\n\t}", "public String[] readFile() {\n\t\t\n\t\tFile file = null;\n\t\tString[] contenu = new String[2];\n\t\tMonFileChooser ouvrir = new MonFileChooser();\n\t\tint resultat = ouvrir.showOpenDialog(null);\n\t\tif (resultat == MonFileChooser.APPROVE_OPTION) {\n\t\t\tfile = ouvrir.getSelectedFile();\n\t\t\tcontenu[0]=file.getName();\n\t\t\n\t\t\n\t\t\ttry {\n\t\t\t\tString fileContent = null;\n\t\t\t\tcontenu[1] = \"\";\n\t\t\t\tBufferedReader br = new BufferedReader(new FileReader(file)); \n\t\t\t\twhile((fileContent = br.readLine()) != null) {\n\t\t\t\t\tif (fileContent != null)\n\t\t\t\t\tcontenu[1] += fileContent+\"\\n\";\n\t\t\t}\n\t\t\t br.close();\n\t\t\t} catch (FileNotFoundException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t} catch (IOException e) {\n\t\t\t\te.printStackTrace();\n\t\t\t}\n\t\t\topenFiles.add(file);\n\t\t}\n\t\treturn contenu;\t\n\t}", "public static void read6() {\n List<String> list = new ArrayList<>();\n\n try (BufferedReader br = Files.newBufferedReader(Paths.get(filePath))) {\n\n //br returns as stream and convert it into a List\n list = br.lines().collect(Collectors.toList());\n\n } catch (IOException e) {\n e.printStackTrace();\n }\n\n list.forEach(System.out::println);\n }", "@Override\n public InputStream openInputFile(String pathname) throws IOException {\n return new FileInputStream(pathname);\n }", "private FileUtil() {\n \t\tsuper();\n \t}", "public String readMultipleFromFiles()\n {\n String result = \"\";\n try\n {\n FileReader fileReader = new FileReader(filename);\n try\n {\n StringBuffer stringBuffer = new StringBuffer();\n Scanner scanner = new Scanner(fileReader);\n while (scanner.hasNextLine())\n {\n stringBuffer.append(scanner.nextLine()).append(\"\\n\");\n }\n stringBuffer.delete(stringBuffer.length() - 1, stringBuffer.length());\n result = stringBuffer.toString();\n } finally\n {\n fileReader.close();\n }\n } catch (FileNotFoundException e)\n {\n System.out.println(\"There is no such file called \" + filename);\n } catch (IOException e)\n {\n System.out.println(\"read \" + filename + \" error!!!\");\n } catch (NumberFormatException e)\n {\n System.out.println(\"content in file \" + filename + \" is error\");\n }\n return result;\n }", "@Override\n public int getFile() {\n return file;\n }", "private FileReader openLabelsFile() {\n FileReader file = null;\n try {\n file = new FileReader(riaaLabelsFile);\n } catch (FileNotFoundException e) {\n e.printStackTrace();\n }\n return file;\n }", "public void handleOpenFile (File inFile) {\n openFile (inFile);\n }", "public static void main(String[] args) {\n\t\tFile f = new File(\"src/com/briup/java_day19/ch11/FileTest.txt\");// \"src/com/briup/\"(win and linux)\r\n\t\t\r\n\t\tSystem.out.println(f);\r\n\t\tSystem.out.println(f.exists());\r\n\t\tif(!f.exists()){\r\n\t\t\ttry {\r\n\t\t\t\tf.createNewFile();\r\n\t\t\t} catch (IOException e) {\r\n\t\t\t\t// TODO Auto-generated catch block\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\t\tSystem.out.println(f.canWrite());\r\n\t\tSystem.out.println(f.canExecute());\r\n\t\tSystem.out.println(f.canRead());\r\n\t\tSystem.out.println(f.getAbsolutePath());//override toString\r\n\t\tSystem.out.println(f.getAbsoluteFile());\r\n\t\tSystem.out.println(f.getName());\r\n\t\tSystem.out.println(f.getParent());\r\n\t\tSystem.out.println(f.getParentFile());\r\n\t\tSystem.out.println(f.isDirectory());\r\n\t\tSystem.out.println(f.isFile());\r\n\t\tSystem.out.println(f.length());//how many byte\r\n\t\t\r\n\t\tSystem.out.println(\"=================\");\r\n\t\tString[] str = f.getParentFile().list();\r\n\t\tSystem.out.println(Arrays.toString(str));\r\n\t\tfor(String s:str){\r\n\t\t\tSystem.out.println(s);\r\n\t\t}\r\n\t\tSystem.out.println(\"=================\");\r\n\t\tFile pf = f.getParentFile();\r\n\t\tString[] str2 = pf.list(new FilenameFilter() {\r\n\t\t\t\r\n\t\t\t@Override\r\n\t\t\tpublic boolean accept(File dir, String name) {\r\n\t\t\t\t//文件名以txt结尾的\r\n//\t\t\t\treturn name.endsWith(\"java\");\r\n//\t\t\t\treturn name.contains(\"Byte\");\r\n\t\t\t\treturn name.startsWith(\"Byte\");\r\n\t\t\t}\r\n\t\t});\r\n\t\tfor(String s:str2){\r\n\t\t\tSystem.out.println(s);\r\n\t\t}\r\n\t\t\r\n\t}", "@Override\n\t\t\t\t\tpublic void handle(File file)\n\t\t\t\t\t{\n\t\t\t\t\t\t\n\t\t\t\t\t}", "@Override\n\tpublic void readImages() {\n\t\t\n\t}", "private static List<String> readFile(File file) throws IOException {\n return Files.readAllLines(file.toPath());\n }", "private static List<String> readFile(File file) throws IOException {\n return Files.readAllLines(file.toPath());\n }", "public static void read7() {\n //read file into stream, try-with-resources\n try (Stream<String> stream = Files.lines(Paths.get(filePath))) {\n\n stream.forEach(System.out::println);\n\n } catch (IOException e) {\n e.printStackTrace();\n }\n }", "public interface FileReader {\n\n String read(String fileName);\n}", "FileObject getFile();", "FileObject getFile();", "public interface FileInterface {\n\t/*\n\t Operation that allows to read an input file to a data structure.\n\t /\n\tpublic void readFile();\n\t/\n\t Operation that allows to read an input file and select a specific fraction into a string array.\n\t * @return Array of strings containing a specific fraction of the file.\n\t /\n\tpublic String[] readClasses();\n}", "static List<String> read() {\n String fileName = getFilePath();\n List<String> urls = new ArrayList<>();\n \n if (Files.notExists(Paths.get(fileName))) {\n return urls;\n }\n \n try (Stream<String> stream = Files.lines(Paths.get(fileName))) {\n urls = stream\n // Excludes lines that start with # as that is used for comments\n // and must start with http:// as that is required by crawler4j.\n .filter(line -> !line.startsWith(\"#\") &&\n line.startsWith(\"http://\") \|\| line.startsWith(\"https://\"))\n .map(String::trim)\n .map(String::toLowerCase)\n .collect(Collectors.toList());\n } catch (IOException e) {\n e.printStackTrace();\n }\n \n return urls;\n }", "void readFile()\n {\n Scanner sc2 = new Scanner(System.in);\n try {\n sc2 = new Scanner(new File(\"src/main/java/ex45/exercise45_input.txt\"));\n } catch (FileNotFoundException e) {\n e.printStackTrace();\n }\n while (sc2.hasNextLine()) {\n Scanner s2 = new Scanner(sc2.nextLine());\n while (s2.hasNext()) {\n //s is the next word\n String s = s2.next();\n this.readFile.add(s);\n }\n }\n }", "public void readFile() {\r\n\t\tBufferedReader br = null;\r\n\r\n\t\ttry {\r\n\r\n\t\t\tString currentLine;\r\n\r\n\t\t\tbr = new BufferedReader(new FileReader(fileName));\r\n\r\n\t\t\twhile ((currentLine = br.readLine()) != null) {\r\n\r\n\t\t\t\tif (!currentLine.equals(\"\")) {\r\n\t\t\t\t\tString[] paragraphs = currentLine.split(\"\\\\n\\\\n\");\r\n\r\n\t\t\t\t\tfor (String paragraphEntry : paragraphs) {\r\n\t\t\t\t\t\t//process(paragraphEntry);\r\n\t\t\t\t\t\t//System.out.println(\"Para:\"+paragraphEntry);\r\n\t\t\t\t\t\tParagraph paragraph = new Paragraph();\r\n\t\t\t\t\t\tparagraph.process(paragraphEntry);\r\n\t\t\t\t\t\tthis.paragraphs.add(paragraph);\r\n\t\t\t\t\t}\r\n\t\t\t\t}\r\n\r\n\t\t\t}\r\n\r\n\t\t} catch (IOException e) {\r\n\t\t\te.printStackTrace();\r\n\t\t} finally {\r\n\t\t\ttry {\r\n\t\t\t\tif (br != null)br.close();\r\n\t\t\t} catch (IOException ex) {\r\n\t\t\t\tex.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\r\n\t}", "@Override\n public InputStream open() throws IOException {\n return getClass().getClassLoader().getResourceAsStream(name);\n }", "public abstract List<String> getFiles( );", "public String[] getFile() throws IOException {\n\t\n\t\n\ttry {\n\tFileReader reader = new FileReader(path);\n\tBufferedReader textReader = new BufferedReader(reader); // creates buffered file reader again\n\t\n\tint numberOfLines = getLines(); // calls the method above to know how many lines there are\n\tString[ ] textData = new String[numberOfLines]; //creates an array the size of the amount of lines the file has\n\t\n\tfor (int i=0; i < numberOfLines; i++) {\n\t\ttextData[ i ] = textReader.readLine(); // go through file and read each line into its own array space\n\t\t}\n\t\n\ttextReader.close( ); //reader is done\n\treturn textData; // return array\n\t} catch (IOException e) {\n\t\tString[] exceptionString = new String[1];\n\t\texceptionString[0] = \"nothing\";\n\t\treturn exceptionString;\n\t}\n}", "public void read() {\n String line = \"\";\n int counter = 0;\n try {\n input = new BufferedReader(new FileReader(file));\n while (line != null) {\n if (!(line.equals(\"arglebargle\"))) {//not a default\n names.add(line);\n }\n }\n input.close();\n }\n catch (IOException e) {\n }\n }", "public synchronized int load()\n {\n int cb = (maxFiles maxChars * SysLib.CBCHAR) + \n (maxFiles * SysLib.CBINT);\n byte b[] = new byte[cb];\n files.clear();\n int fileNameOffset = maxFiles * SysLib.CBINT;\n int offset = 0;\n\n // Read the entire potential directory listing\n if (inode.read(0, b) < 0)\n {\n return -1;\n }\n\n for (int i = 0; i < maxFiles; i++)\n {\n // Read the file name length\n int strLen = SysLib.bytes2int(b, offset);\n offset += SysLib.CBINT;\n\n // Read the file name, if one is stored\n if (strLen > 0)\n {\n byte strBytes[] = new byte[strLen * SysLib.CBCHAR];\n\n System.arraycopy(b, fileNameOffset, strBytes, 0,\n strBytes.length);\n\n files.add(new String(strBytes));\n\n fileNameOffset += strLen;\n }\n // Add a zero-length placeholder for this listing\n else\n {\n files.add(new String(\"\"));\n }\n }\n\n return 0;\n }", "@Test\n public void testFileReading() throws Exception {\n String[] args = new String[1];\n args[0] = testFile;\n ConferenceManager.main(args);\n\n }" ]	[ "0.78484553", "0.7246386", "0.7134532", "0.71200275", "0.7102085", "0.70538396", "0.6858713", "0.68399125", "0.66947156", "0.6620651", "0.66105", "0.6549356", "0.6494126", "0.6489619", "0.64282054", "0.6427119", "0.63994324", "0.63837254", "0.63814354", "0.63660127", "0.63575566", "0.6349801", "0.63418597", "0.63386744", "0.6330244", "0.6302184", "0.6286397", "0.628604", "0.6275503", "0.6272392", "0.6272189", "0.6263328", "0.6255587", "0.62515986", "0.62465864", "0.62451816", "0.62369454", "0.623544", "0.62203735", "0.62166345", "0.6213614", "0.6204336", "0.61968315", "0.6192423", "0.617676", "0.6163371", "0.6149867", "0.61434644", "0.6139419", "0.6124783", "0.6119364", "0.61193246", "0.6116391", "0.6111067", "0.6061174", "0.6055573", "0.6054701", "0.60541034", "0.605225", "0.60493976", "0.60485786", "0.6048521", "0.6035231", "0.6034356", "0.60152787", "0.60116494", "0.5992466", "0.59888136", "0.5973753", "0.5970686", "0.59682727", "0.5967748", "0.5966977", "0.59537363", "0.5953221", "0.59509885", "0.5949124", "0.5948066", "0.59479314", "0.59407127", "0.5940672", "0.59317636", "0.5927108", "0.5914821", "0.5906749", "0.5901347", "0.5901347", "0.58942664", "0.5893216", "0.5887639", "0.5887639", "0.58876", "0.5884508", "0.58837825", "0.5879091", "0.5873249", "0.5872426", "0.5872021", "0.585911", "0.58580184", "0.58548754" ]	0.0	-1
Get method for Grants	@GET @Path("getGrants") @Produces(MediaType.TEXT_HTML) public String readGrants() { return Obj.readGrants(); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "int getPants();", "public Object retrieveGrants(final Map<String, String[]> filter) throws Exception {\r\n return null;\r\n }", "public Object retrieveCurrentGrants(final String id) throws Exception {\r\n return null;\r\n }", "public AccountGrants accountGrants() {\n return this.accountGrants;\n }", "public int getPants() {\n return pants_;\n }", "public int getPants() {\n return pants_;\n }", "java.lang.String getTenant();", "@Override\n protected String requiredGetPermission() {\n return \"user\";\n }", "Object getPerm(String name);", "STenant getTenant() throws STenantNotFoundException;", "public String getFloodPerm() throws PermissionDeniedException;", "Object getPerm(String name, Object def);", "java.lang.String getAdmin();", "@GetMapping(\"/\")\n\tpublic ResponseEntity<Object> getAdministrator(HttpServletRequest request){\n\t\tAdministrator admin = service.findByEmail(SessionManager.getInstance().getSessionEmail(request.getSession()));\n\t\tif(admin == null) return new ResponseEntity<>(HttpStatus.UNAUTHORIZED); \n\t\tMappingJacksonValue mappedAdmin = new MappingJacksonValue(admin);\n\t\tmappedAdmin.setFilters(new SimpleFilterProvider().addFilter(Administrator.FILTER, SimpleBeanPropertyFilter.filterOutAllExcept(\"email\", \"name\")));\n\t\treturn new ResponseEntity<>(mappedAdmin, HttpStatus.OK);\n\t}", "protected abstract String getAuthorization();", "boolean hasPants();", "public List<String> grantpermission() {\n\t\tList<Integer> userids = new ArrayList<>();\n\t\tuserids = crud1.grantPermission();\n\t\tList<String> username = new ArrayList<>();\n\t\tfor (Integer x : userids) {\n\n\t\t\tusername.add(crud1.findById(x).get().getUsername());\n\t\t}\n\t\treturn username;\n\t}", "@Test\n void getAllClientIdWithAccess_gaeAdmin() {\n AuthenticatedRegistrarAccessor registrarAccessor =\n new AuthenticatedRegistrarAccessor(\n GAE_ADMIN, ADMIN_CLIENT_ID, SUPPORT_GROUP, lazyGroupsConnection);\n\n assertThat(registrarAccessor.getAllClientIdWithRoles())\n .containsExactly(\n CLIENT_ID_WITH_CONTACT, ADMIN,\n CLIENT_ID_WITH_CONTACT, OWNER,\n\n REAL_CLIENT_ID_WITHOUT_CONTACT, ADMIN,\n\n OTE_CLIENT_ID_WITHOUT_CONTACT, ADMIN,\n OTE_CLIENT_ID_WITHOUT_CONTACT, OWNER,\n\n ADMIN_CLIENT_ID, ADMIN,\n ADMIN_CLIENT_ID, OWNER);\n verifyNoInteractions(lazyGroupsConnection);\n }", "public abstract List getProviders();", "public String getTenant()\n {\n return tenant;\n }", "@Override\n\tpublic Collection<? extends GrantedAuthority> getAuthorities() {\n\t\treturn profiles;\n\t}", "@Override\npublic Collection<? extends GrantedAuthority> getAuthorities() {\n\t// TODO Auto-generated method stub\n\treturn null;\n}", "abstract public void getPermission();", "Gruppo getGruppo();", "@GET(\"administrators/{id}\")\n Call<User> getUser(\n @retrofit2.http.Path(\"id\") Integer id\n );", "@GetMapping(\"/{id}\")\n public Optional<Admin> getAdmin(@PathVariable int id){\n return adminService.getAdmin(id);\n }", "private InheritedAccessEnabled getAccess(Role role, AccessTypeInjector injector,\n InheritedAccessEnabled access) {\n String roleId = role.getId();\n try {\n return injector.findAccess(access, roleId);\n } catch (Exception ex) {\n log.error(\"Error getting access list of class {}\", injector.getClassName(), ex);\n throw new OBException(\"Error getting access list of class \" + injector.getClassName());\n }\n }", "String getPermission();", "@Nullable\n public ExternalMeetingRegistrant get() throws ClientException {\n return send(HttpMethod.GET, null);\n }", "String getRole();", "String getRole();", "public abstract List<String> getAdditionalAccessions();", "Map<String, Object> getPermStorage();", "@Test\n void getAllClientIdWithAccess_user() {\n AuthenticatedRegistrarAccessor registrarAccessor =\n new AuthenticatedRegistrarAccessor(\n USER, ADMIN_CLIENT_ID, SUPPORT_GROUP, lazyGroupsConnection);\n\n assertThat(registrarAccessor.getAllClientIdWithRoles())\n .containsExactly(CLIENT_ID_WITH_CONTACT, OWNER);\n verify(lazyGroupsConnection).get();\n }", "public String getCredentials();", "@GetMapping(value = \"/{grantee}/{authorization}\")\n public List<AccountDTO> getAccountsByGranteeAndAuthorizationType(@PathVariable String grantee,\n @PathVariable Authorization authorization) {\n List<Account> accounts = powerOfAttorneyService.getAccountsByGranteeAndAuthorizationType(grantee, authorization);\n return accounts.stream().map(a->convertToAccountDTO(a)).collect(Collectors.toList());\n }", "@GetMapping(\"applicants\")\n public List<Applicant> readAll() {\n return applicantService.getAll();\n }", "Collection<? extends GrantedAuthority> getAuthorities();", "public String getAccess();", "@Override\n public Collection<? extends GrantedAuthority> getAuthorities() {\n List<GrantedAuthority> grantedAuthorityList = new ArrayList<>();\n //make a List of the roles\n List<Role> userRoles = user.getRoles();\n //add each role to the grantedAuthorityList\n for (Role role: userRoles) {\n grantedAuthorityList.add(new SimpleGrantedAuthority(role.getName()));\n }\n // then return grantedAuthority instances\n return grantedAuthorityList;\n }", "@Override\n\tpublic List<Grupo> obtenerGrupos() {\n\t\tSystem.out.println(\"Grupo Service\");\n\t\ttry {\n\t\t\t \n\t\t\t\tList<Grupo> tmp=this.grupoDao.obtenerGrupos();\n\t\t\t\tSystem.out.println(\"Lista de Grupos\"+tmp.size());\n\t\t\t\t\treturn tmp;\n\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn null;\n\t}", "@Override\n\tpublic List<ServerAuthorizationCodeGrant> getCodeGrants(Client c, UserSubject subject)\n\t\t\tthrows OAuthServiceException {\n\t\tlog.warn(\"getCodeGrants is not implemented\");\n\t\treturn null;\n\t}", "SandBox retrieveUserSandBox(Site site, AdminUser adminUser);", "Privilege getPrivilege();", "@GetMapping(\"/phone-privilages\")\n @Timed\n public List<PhonePrivilage> getAllPhonePrivilages() {\n log.debug(\"REST request to get all PhonePrivilages\");\n return phonePrivilageRepository.findAll();\n }", "@Nullable\n public UserSettings get() throws ClientException {\n return send(HttpMethod.GET, null);\n }", "public AccountGrantsHistory accountGrantsHistory() {\n return this.accountGrantsHistory;\n }", "public String getAuthorizedGrantTypes() {\n return authorizedGrantTypes;\n }", "@Test\n void getAllClientIdWithAccess_userInSupportGroup() {\n when(groupsConnection.isMemberOfGroup(\"[email protected]\", SUPPORT_GROUP.get())).thenReturn(true);\n AuthenticatedRegistrarAccessor registrarAccessor =\n new AuthenticatedRegistrarAccessor(\n USER, ADMIN_CLIENT_ID, SUPPORT_GROUP, lazyGroupsConnection);\n\n assertThat(registrarAccessor.getAllClientIdWithRoles())\n .containsExactly(\n CLIENT_ID_WITH_CONTACT, ADMIN,\n CLIENT_ID_WITH_CONTACT, OWNER,\n\n REAL_CLIENT_ID_WITHOUT_CONTACT, ADMIN,\n\n OTE_CLIENT_ID_WITHOUT_CONTACT, ADMIN,\n OTE_CLIENT_ID_WITHOUT_CONTACT, OWNER,\n\n ADMIN_CLIENT_ID, ADMIN,\n ADMIN_CLIENT_ID, OWNER);\n verify(lazyGroupsConnection).get();\n }", "@PreAuthorize(\"hasAuthority('ROLE_USER')\")\n @RequestMapping(value=\"/distances\",method=GET,produces=\"application/json\")\n public ResponseEntity<List<Distance>> getAllDistances() {\n log.info(\"getAllDistances\");\n // String uName = principal.getName();\n List<Distance> list = distanceService.getAllDistance();\n return new ResponseEntity<List<Distance>>(list, HttpStatus.OK);\n }", "public List<Loan> getLoan();", "public StandardAuthority getAuthority()\n {\n return authority;\n }", "String getAccess();", "String getAccess();", "@Nullable\n public DelegatedAdminCustomer get() throws ClientException {\n return send(HttpMethod.GET, null);\n }", "@Transactional(readOnly = true)\n\t@Override\n\tpublic List<Object[]> getApplicants() {\n\t\treturn dao.getApplicants();\n\t}", "@GetMapping(\"/sysadm/tender\")\n public String showTenderList() {\n return \"admin/sysadm/tenderList\";\n }", "SessionManager get();", "public IGrantSet getPermissions()\n throws OculusException;", "public RestaurantDetails getRestaurantDetails(String userName, String password);", "@PreAuthorize(\"hasRole('ADMIN')\")\n public ProductDto retrieveAuthorizedProducts() { \n return new ProductDto(\"1\", \"iPhone\", 999.99f);\n }", "GlAccount getGlAccount();", "UserSettings getByUser();", "String getPassportSeries();", "@RestAPI\n \t@PreAuthorize(\"hasAnyRole('A')\")\n \t@RequestMapping(value = {\"/api/\", \"/api\"}, method = RequestMethod.GET)\n \tpublic HttpEntity<String> getAll() {\n \t\treturn toJsonHttpEntity(agentManagerService.getAllVisibleAgentInfoFromDB());\n \t}", "static public int getADMIN() {\n return 1;\n }", "@Get\n public String getMembers(){\n ArrayList<String> members = new ArrayList<>();\n try {\n members.addAll(controller.getMembers(getQueryValue(\"id\")));\n }catch(MenuException e){\n System.out.println(e.getMessage());\n }\n return new YaGson().toJson(members, ArrayList.class);\n }", "public List<String> getmanagers();", "@Override\r\n\tpublic List<Admin> getAdminDetails() {\n\t\tList<Admin> admin =dao.getAdminDetails();\r\n return admin;\r\n\t}", "Account getAccount();", "@Override\n public Collection<? extends GrantedAuthority> getAuthorities() {\n List<GrantedAuthority> list = new ArrayList<>();\n GrantedAuthority a = new SimpleGrantedAuthority(\"ROLE_USER\");\n list.add(a);\n return list;\n }", "@Override\n\tpublic Collection<? extends GrantedAuthority> getAuthorities() {\n\t\treturn authenrities;\n\t}", "List<Permission> getPermissions();", "public List getUsuarios();", "@PreAuthorize(\"hasAuthority('ADMIN')\")\n @GetMapping(\"/all\")\n public ResponseEntity<List<SecretaryModel>> getAllSecretaries() {\n return ResponseEntity.ok(secretaryService.getAllSecretaries());\n }", "@Override\n public List<Tenant> getTenants(HttpServletRequest request)\n throws AuthException {\n List<Tenant> tenantIds = new ArrayList<Tenant>();\n\n try {\n Set<String> ids = dataClient.tenantsGetAll();\n for (String id : ids) {\n tenantIds.add(new MockTenant(id));\n }\n\n } catch (StateAccessException ex) {\n throw new AuthDataAccessException(\n \"Data access error while getting tenants\", ex);\n }\n\n return tenantIds;\n }", "List<BillingPermissionsProperties> permissions();", "protected void doGetPermissions() throws TmplException {\r\n try {\r\n GlbPerm perm = (GlbPerm)TmplEJBLocater.getInstance().getEJBRemote(\"pt.inescporto.permissions.ejb.session.GlbPerm\");\r\n\r\n perms = perm.getFormPerms(MenuSingleton.getRole(), permFormId);\r\n }\r\n catch (java.rmi.RemoteException rex) {\r\n //can't get form perms\r\n TmplException tmplex = new TmplException(TmplMessages.NOT_DEFINED);\r\n tmplex.setDetail(rex);\r\n throw tmplex;\r\n }\r\n catch (javax.naming.NamingException nex) {\r\n //can't find GlbPerm\r\n TmplException tmplex = new TmplException(TmplMessages.NOT_DEFINED);\r\n tmplex.setDetail(nex);\r\n throw tmplex;\r\n }\r\n }", "@Override\n\tpublic Collection<? extends GrantedAuthority> getAuthorities() {\n\t\treturn Arrays.asList(new SimpleGrantedAuthority(\"ROLE_ADMIN\"));\n\t}", "protected void listTenants() {\n if (!MULTITENANT_FEATURE_ENABLED.contains(dbType)) {\n return;\n }\n Db2Adapter adapter = new Db2Adapter(connectionPool);\n try (ITransaction tx = TransactionFactory.openTransaction(connectionPool)) {\n try {\n GetTenantList rtListGetter = new GetTenantList(adminSchemaName);\n List<TenantInfo> tenants = adapter.runStatement(rtListGetter);\n \n System.out.println(TenantInfo.getHeader());\n tenants.forEach(t -> System.out.println(t.toString()));\n } catch (DataAccessException x) {\n // Something went wrong, so mark the transaction as failed\n tx.setRollbackOnly();\n throw x;\n }\n }\n }", "private Optional<OAuth> getPatientAndWearableTypeCredentials(User pacientToSync, Vital vitalToSync) {\n return pacientToSync.getOauths().stream().filter(o -> o.getWearableType().name().equals(vitalToSync.getWearableType().name())).findFirst();\n }", "public List<SecGroupright> getAllGroupRights();", "@GET\n @Path(\"/ostenants\")\n @Produces({ MediaType.APPLICATION_XML, MediaType.APPLICATION_JSON })\n @CheckPermission(roles = { Role.SECURITY_ADMIN })\n public OSTenantListRestRep listCoprhdOsTenants() {\n\n _log.debug(\"Keystone Service - listCoprhdOsTenants\");\n\n List<OSTenant> tenants = getOsTenantsFromCoprhdDb();\n\n return map(tenants);\n }", "public CampusId getHandlingCampus();", "public ArrayList<Casella> getGrup()\n\t{\n\t\treturn grup;\n\t}", "@O2Client\n @GET\n @Path(\"/client\")\n public Response clientAuthorizedGET(@Context final SecurityContext c) {\n return Response.ok().build();\n }", "People getUser();", "public abstract Alliance getAlliance();", "long getTenantID();", "public List<Privilege> get() throws Exception {\n\t\treturn get(null);\r\n\t}", "@GET\r\n @Produces(MediaType.APPLICATION_JSON)\r\n public AppUser getJson() {\r\n return appUserBean.authenticate(\"admin\", \"admin\");\r\n }", "@Override\n public String getUserGroupsQuery()\n {\n return \"SELECT ROLE_NAME FROM INFORMATION_SCHEMA.ROLE_AUTHORIZATION_DESCRIPTORS WHERE GRANTEE=? AND ROLE_NAME!=GRANTEE;\";\n }", "User getPassedUser();", "@RequestMapping(value = \"/authorization\", method = GET)\n AuthorizationCode getAuthorizationCodeUri();", "public User getUser();", "public abstract String getSecret();", "@Override\n\tprotected Method getMethod() {\n\t\treturn Method.GET;\n\t}", "public String getRegBasedAuthority() {\n return m_regAuthority;\n }", "String getValue() throws AccessDeniedException {\n\t performSecurityManagerCheck();\n\t return town;\n\t }", "@Override\n public Collection<? extends GrantedAuthority> getAuthorities() {\n return authorities;\n }" ]	[ "0.6788546", "0.6714973", "0.6707212", "0.66245025", "0.5938696", "0.5931", "0.58590287", "0.56986165", "0.5695537", "0.56833386", "0.55327106", "0.55143356", "0.5470873", "0.54514307", "0.5450879", "0.54469913", "0.5377379", "0.5368368", "0.53024083", "0.5297257", "0.528889", "0.5285986", "0.5276761", "0.52690536", "0.5267265", "0.5263871", "0.52505976", "0.52482766", "0.5242183", "0.5240507", "0.5240507", "0.52378", "0.52212065", "0.5210437", "0.52086604", "0.5205081", "0.51978827", "0.51919836", "0.51899356", "0.5189071", "0.5184466", "0.51832336", "0.5173196", "0.5163915", "0.5144618", "0.5133541", "0.5133332", "0.51239365", "0.51212835", "0.5114542", "0.51126075", "0.5111028", "0.51070184", "0.51070184", "0.5096097", "0.50955546", "0.50818366", "0.50788164", "0.5075522", "0.5070592", "0.5069391", "0.5064303", "0.50565106", "0.5050535", "0.50483495", "0.5048073", "0.50392616", "0.50354224", "0.502707", "0.50256187", "0.50124365", "0.5011942", "0.49977148", "0.49921766", "0.4983022", "0.4982194", "0.49806306", "0.49736413", "0.49724352", "0.4972283", "0.4971586", "0.49708351", "0.49690726", "0.4966337", "0.49628636", "0.4960653", "0.49576974", "0.4954013", "0.4952935", "0.49498558", "0.4949083", "0.4945474", "0.49453244", "0.49419907", "0.4936894", "0.49365768", "0.49363405", "0.49345797", "0.49339747", "0.49335796" ]	0.7554818	0
POST METHOD FOR ADDING NEW GRANT	@POST @Path("NewGrant") @Consumes(MediaType.APPLICATION_FORM_URLENCODED) @Produces(MediaType.TEXT_PLAIN) public String insertFund( @FormParam("id") String id, @FormParam("title") String title, @FormParam("full_name") String full_name, @FormParam("email") String email, @FormParam("phone") String phone, @FormParam("research_category") String research_category, @FormParam("budget") String budget, @FormParam("introduction") String introduction) { { String output = Obj.insertGrantApplication(id,title,full_name,email,phone,research_category,budget,introduction); return output; } }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "void permissionGranted(int requestCode);", "@Override\n protected String requiredPostPermission() {\n return \"admin\";\n }", "@Override\n\tpublic void grant(User subject, Permission permission)\n\t{\n\t\t//TODO figure out how to implement since we're using role based permissions\n\t}", "@Override\n public void onPermissionsGranted(int requestCode, List<String> perms) {\n }", "@Override\n public void onPermissionsGranted(int requestCode, List<String> perms) {\n }", "public void addPermissions(IPermission[] permissions) throws AuthorizationException;", "void requestNeededPermissions(int requestCode);", "@Override\n public void onClick(DialogInterface dialogInterface, int i) {\n ActivityCompat.requestPermissions(AddressBook_add.this,\n new String[]{Manifest.permission.ACCESS_FINE_LOCATION},\n MY_PERMISSIONS_REQUEST_LOCATION);\n }", "public boolean addPermission(Permission permission);", "@Override\n public void onGranted() {\n }", "public void addPermission(T object, Permission permission);", "public void addPermission(T object, Permission permission, User user);", "@Transactional(propagation = Propagation.REQUIRED)\n public void addGrant(Integer roleId, Integer[] mIds) {\n Integer count = permissionMapper.countPermissionByRoleId(roleId);\n // 2. if permission exists, delete the permission records of this role\n if (count > 0) {\n permissionMapper.deletePermissionByRoleId(roleId);\n }\n // 3. if permission exists, add permission records\n if (mIds != null && mIds.length > 0) {\n // define Permission list\n List<Permission> permissionList = new ArrayList<>();\n\n for(Integer mId: mIds) {\n Permission permission = new Permission();\n permission.setModuleId(mId);\n permission.setRoleId(roleId);\n permission.setAclValue(moduleMapper.selectByPrimaryKey(mId).getOptValue());\n permission.setCreateDate(new Date());\n permission.setUpdateDate(new Date());\n permissionList.add(permission);\n }\n\n // Batch Update operation performed，verify affected records\n AssertUtil.isTrue(permissionMapper.insertBatch(permissionList) != permissionList.size(), \"AddGrant failed！\");\n }\n }", "void add(User user) throws AccessControlException;", "void askForPermissions();", "@Override\n public void onGranted() {\n }", "@Override\n public void onGranted() {\n }", "void setPermission(String perm, boolean add);", "@Override\n public void onPermissionGranted() {\n }", "private void authorize() {\r\n\r\n\t}", "@Override\n public void onPermissionGranted() {\n }", "@Override\n public void onRequestAllow(String permissionName) {\n }", "@OAuthPostAuthorization\n public void postAuthorize() {\n }", "@Override\n protected String requiredPutPermission() {\n return \"admin\";\n }", "public void AsignarPermiso(Permiso p){\n\t\tPermisoRol pr = new PermisoRol(p,this);\n\t\tpermisos.add(pr);\n\t}", "public static void addAcl(boolean grant, Permission permssion, String key,\n List<AclModification> modifications) {\n if (grant) {\n key = AclModification.grantKey(key);\n } else {\n key = AclModification.denyKey(key);\n }\n modifications.add(new AclModification(key, permssion.getPermission(),\n AclModification.Operation.OP_OR));\n }", "void grant(Object dbobject, int rights) {\n\n if (rights == 0) {\n return;\n }\n\n int n = rightsMap.get(dbobject, 0);\n\n n \|= rights;\n\n rightsMap.put(dbobject, n);\n }", "private boolean addPermission(List<String> permissionsList, String permission) {\n if (ContextCompat.checkSelfPermission(BecomeHostActivity.this, permission) != PackageManager.PERMISSION_GRANTED) {\n permissionsList.add(permission);\n // Check for Rationale Option\n if (Build.VERSION.SDK_INT >= Build.VERSION_CODES.M) {\n if (!shouldShowRequestPermissionRationale(permission))\n return false;\n }\n }\n return true;\n }", "@Override\n\tpublic RDFList append( final RDFList list ) throws AccessDeniedException;", "void addRoleToUser(int userID,int roleID);", "@Test(dependsOnMethods = \"testRoleAdd\", groups = \"role\", priority = 1)\n public void testRoleGrantPermission() throws ExecutionException, InterruptedException {\n this.authDisabledAuthClient\n .roleGrantPermission(rootRole, rootRolekeyRangeBegin, rootkeyRangeEnd,\n Permission.Type.READWRITE).get();\n this.authDisabledAuthClient\n .roleGrantPermission(userRole, userRolekeyRangeBegin, userRolekeyRangeEnd, Type.READWRITE)\n .get();\n }", "com.soa.SolicitarCreditoDocument.SolicitarCredito addNewSolicitarCredito();", "@Override\n\tpublic synchronized void add(Permission p) {\n\t if (isReadOnly())\n\t\tthrow new SecurityException(\"Collection cannot be modified.\");\n\n\t if (perms.indexOf(p) < 0)\n\t\tperms.add(p);\n\t}", "int insert(RolePermission record);", "public abstract void grantMembership(String nickname);", "public void grantPermissionPending(String objectId, String objectType, User user, List<String> actions) throws UserManagementException;", "@Test\n public void addAppPermissionTest() throws ApiException {\n String appId = null;\n Permission body = null;\n Boolean naked = null;\n // Permission response = api.addAppPermission(appId, body, naked);\n\n // TODO: test validations\n }", "@Override\r\n public void onPermissionsGranted(int requestCode, List<String> list) {\r\n // Do nothing.\r\n }", "@Override\n public void onPermissionsGranted(int requestCode, List<String> list) {\n // Do nothing.\n }", "@Override\n public void onPermissionsGranted(int requestCode, List<String> list) {\n // Do nothing.\n }", "@Override\n public void onPermissionsGranted(int requestCode, List<String> list) {\n // Do nothing.\n }", "@Override\n public AddPermissionResult addPermission(AddPermissionRequest request) {\n request = beforeClientExecution(request);\n return executeAddPermission(request);\n }", "public void grantPermission(String objectId, String objectType, User user, List<String> actions) throws UserManagementException;", "protected void grantPrivileges() {\n if (!PRIVILEGES_FEATURE_ENABLED.contains(dbType)) {\n return;\n }\n\n // The case where all are to be granted on the default schemas.\n if (!(updateFhirSchema \|\| grantFhirSchema \|\| updateOauthSchema\n \|\| grantOauthSchema \|\| updateJavaBatchSchema \|\| grantJavaBatchSchema)) {\n grantOauthSchema = true;\n grantFhirSchema = true;\n grantJavaBatchSchema = true;\n }\n\n // Build/update the tables as well as the stored procedures\n PhysicalDataModel pdm = new PhysicalDataModel();\n buildCommonModel(pdm, updateFhirSchema \|\| grantFhirSchema, updateOauthSchema \|\| grantOauthSchema,\n updateJavaBatchSchema \|\| grantJavaBatchSchema);\n\n final IDatabaseAdapter adapter = getDbAdapter(dbType, connectionPool);\n try (ITransaction tx = TransactionFactory.openTransaction(connectionPool)) {\n try {\n pdm.applyGrants(adapter, FhirSchemaConstants.FHIR_USER_GRANT_GROUP, grantTo);\n pdm.applyGrants(adapter, FhirSchemaConstants.FHIR_OAUTH_GRANT_GROUP, grantTo);\n pdm.applyGrants(adapter, FhirSchemaConstants.FHIR_BATCH_GRANT_GROUP, grantTo);\n } catch (DataAccessException x) {\n // Something went wrong, so mark the transaction as failed\n tx.setRollbackOnly();\n throw x;\n }\n }\n }", "int insert(EpermissionDO record);", "public void onPermissionGranted() {\n\n }", "@Override\r\n\tpublic int addPermission(Permission perms) {\n\t\treturn 0;\r\n\t}", "@Override\n public void onClick(DialogInterface dialogInterface, int i) {\n ActivityCompat.requestPermissions(a,\n new String[]{permission},\n b);\n }", "@Override\r\n\tpublic void addCredential(String role) {\n\r\n\t}", "private Permit add(Permit permit) {\n\t\t\tpermits.add(permit);\n\t\t\t\n\t\t\treturn permit;\n\t\t}", "int insert(TUserPermission record);", "@Override\n public void onRequestPermissionsResult(int requestCode, String permissions[], int[] grantResults) {\n //Passing request code to request for the permissions\n switch (requestCode) {\n case WRITE_REQUEST_CODE:\n if(grantResults[0] == PackageManager.PERMISSION_GRANTED){\n Toast.makeText(getApplicationContext(), \"Permission Granted \", //Toast Message\n Toast.LENGTH_SHORT).show();\n }\n else{\n Toast.makeText(getApplicationContext(), \"Permission Denied \", //Toast Message\n Toast.LENGTH_SHORT).show();\n\n }\n break;\n }\n }", "@Log(\"集中授权(RESOURCE)admin authority granted >> Role : Resource = m:n\")\n @ApiOperation(\"集中授权(RESOURCE)\")\n @PostMapping(value = \"/authorization/resource\")\n public ResponseEntity<Object> doAuthorizationResource(@Validated @RequestBody List<RoleResourceVo> roleResourceVo, HttpServletRequest request) {\n return ResponseEntity.ok(roleResourceService.grantAuthorizater(roleResourceVo));\n }", "public void grantAdministrate(User user) throws ServiceException{\n }", "@Override\n protected void doPost(HttpServletRequest request, HttpServletResponse response)\n throws ServletException, IOException {\n registerNewMember(request, response);\n }", "public int addNewAmendment(Amendment amendment);", "@Test\n public void createRequested() {\n /\n Given\n /\n var uid = UID.apply();\n var grantFor = UserAuthorization.random();\n var privilege = DatasetPrivilege.CONSUMER;\n\n var executed = Executed.now(UserId.random());\n var request = AccessRequest.apply(executed, Markdown.lorem());\n\n /\n * When\n /\n var grant = DatasetGrant.createRequested(uid, grantFor, privilege, request);\n\n /\n * Then\n /\n assertThat(grant.getRequestResponse())\n .as(\"There shouldn't be a response for the grant.\")\n .isNotPresent();\n\n assertThat(grant.getRequest())\n .as(\"The request should be available in the grant.\")\n .isPresent()\n .satisfies(ro -> ro.ifPresent(r -> {\n assertThat(r).isEqualTo(request);\n }));\n\n assertThat(grant)\n .as(\"Since the request is not approved, the grant is not active\")\n .satisfies(g -> {\n assertThat(g.asDatasetMember()).isNotPresent();\n assertThat(g.isOpen()).isTrue();\n assertThat(g.isActive()).isFalse();\n assertThat(g.isClosed()).isFalse();\n });\n }", "@Test\n public void addPermission() {\n cleanEntity0();\n entity0.addPermission(sampleP);\n\n final Collection<?> permissions = (HashSet<?>) ReflectionTestUtils.getField(entity0, \"permissions\");\n assertTrue(permissions != null && permissions.contains(sampleP));\n }", "int insert(Permission record);", "int insert(Permission record);", "@Test\n public void approveGrant() {\n /\n * Given\n /\n var uid = UID.apply();\n var grantFor = UserAuthorization.random();\n var privilege = DatasetPrivilege.CONSUMER;\n\n var executed = Executed.now(UserId.random());\n var request = AccessRequest.apply(executed, Markdown.lorem());\n var grant = DatasetGrant.createRequested(uid, grantFor, privilege, request);\n\n var approvedBy = UserId.random();\n var approvedAt = Instant.now();\n var justification = Markdown.lorem();\n\n var grantedAuth = GrantedAuthorization.apply(approvedBy, approvedAt, grantFor);\n var member = DatasetMember.apply(grantedAuth, privilege);\n\n /\n * When\n /\n grant = grant\n .approve(approvedBy, approvedAt, justification)\n .map(g -> g, e -> null);\n\n /\n * Then\n */\n assertThat(grant.getRequest())\n .as(\"The request should be available in the grant.\")\n .isPresent()\n .satisfies(ro -> ro.ifPresent(r -> {\n assertThat(r).isEqualTo(request);\n }));\n\n assertThat(grant.getRequestResponse())\n .as(\"The request response should be set and it should be approved\")\n .isPresent()\n .satisfies(ro -> ro.ifPresent(r -> {\n assertThat(r)\n .extracting(\n o -> o.getExecuted().getBy(),\n o -> o.getExecuted().getAt(),\n AccessRequestResponse::isApproved)\n .containsExactly(approvedBy, approvedAt, true);\n }));\n\n assertThat(grant)\n .as(\"Since the request is approved, the grant should be active\")\n .satisfies(g -> {\n assertThat(g.asDatasetMember())\n .isPresent()\n .get()\n .isEqualTo(member);\n\n assertThat(g.isOpen()).isFalse();\n assertThat(g.isActive()).isTrue();\n assertThat(g.isClosed()).isFalse();\n });\n }", "UserPermissionsType createUserPermissionsType();", "private void addPendingAction(Set<String> paramSet, PermissionsResultAction paramPermissionsResultAction) {\n }", "public interface PermissionListener {\n\n void onGranted(); //授权\n\n void onDenied(List<String> deniedPermission); //拒绝 ,并传入被拒绝的权限\n}", "public abstract void grantModerator(String nickname);", "private void onAddRole() {\n\t\troleProxy.addRoleToUser(user, selectedRole);\n\t}", "public void askForPermissionsGrant(){\n int res =ContextCompat.checkSelfPermission(this,Manifest.permission.ACCESS_FINE_LOCATION);\n int res2 =ContextCompat.checkSelfPermission(this,Manifest.permission.ACCESS_FINE_LOCATION);\n if (res!= PackageManager.PERMISSION_GRANTED \|\| res2!= PackageManager.PERMISSION_GRANTED) {\n // Permission is not granted\n // Should we show an explanation?\n if (ActivityCompat.shouldShowRequestPermissionRationale(this,\n Manifest.permission.ACCESS_FINE_LOCATION)) {\n AlertDialog.Builder builder = new AlertDialog.Builder(this);\n builder.setTitle(\"We need to access your location\")\n .setMessage(\"We want to track every breath you take\")\n .setPositiveButton(\"Ok\", new DialogInterface.OnClickListener() {\n @Override\n public void onClick(DialogInterface dialogInterface, int i) {\n ActivityCompat.requestPermissions(MainActivity.this,\n new String[]{Manifest.permission.ACCESS_FINE_LOCATION,\n Manifest.permission.READ_CONTACTS},\n MY_PERMISSIONS_REQUEST_ACCESS_FINE_LOCATION);\n }\n });\n builder.create().show();\n }\n else {\n // No explanation needed; request the permission\n ActivityCompat.requestPermissions(this,\n new String[]{Manifest.permission.ACCESS_FINE_LOCATION},\n MY_PERMISSIONS_REQUEST_ACCESS_FINE_LOCATION);\n // MY_PERMISSIONS_REQUEST_READ_CONTACTS is an\n // app-defined int constant. The callback method gets the\n // result of the request.\n }\n } else {\n // Permission has already been granted\n publishLastLocation();\n }\n\n }", "public void addUserToAccessControlList(Site site, String permission) {\n \t\n \tString gcalid = getGoogleCalendarID( site);\n \tif (gcalid == null){\n \t\tM_log.error(\"Google calendar id not found in site properties for site: \" + site.getId());\n \t\treturn;\n \t}\n \t\n \tString currentUserId = getCurrentUserId();\n \t\n \tCalendar client;\n \t\n \tPreferences prefs = (PreferencesEdit)m_preferencesService.getPreferences(currentUserId);\n\t\tResourceProperties props = prefs.getProperties(GOOGLE_CALENDAR_PREFS);\n\t\tString googleCalendarPrefPropValue = props.getProperty(gcalid);\n\t\tboolean isSuper = securityService.isSuperUser(currentUserId);\n \t\n\t\t// if the current user is a valid user in the site or a superuser\n\t\t// and if the current user is not in google calendar acl (access control list)\n\t\t// OR if their permissions have changed\n\t\t// add the current user to the google calendar acl (access control list)\t\t\n\t\tif (site.getMember(currentUserId) != null \n\t\t\t\t&& ( googleCalendarPrefPropValue == null \|\| !googleCalendarPrefPropValue.equals(permission) )\n\t\t\t\t\|\| isSuper ) {\n\t\t\t\n\t\t\t// Site creator \n\t\t\tString siteCreatorEmailAddress = site.getCreatedBy().getEmail();\n\t\t\t\n\t\t\t// no email associated with the site owner results in the call to Google to fail.\n\t\t\tif ( null == siteCreatorEmailAddress \|\| siteCreatorEmailAddress.isEmpty() ) {\n\t\t\t\t// TODO: error message to the user here?\n\t\t\t\tM_log.error(\"Missing email address for site creator - unable to create google calender. Site \" + site.getId() + \" creator \" + site.getCreatedBy().getSortName() );\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t\n\t\t\t// Create ACL using site creator email\n\t\t\tGoogleCredential credential = getGoogleCredential(siteCreatorEmailAddress);\n\t\t\t\n\t\t\tif (credential == null) {\n\t\t\t\tM_log.error(\"addUserToAccessControlList: bad credentials for \" + site.getId() + \" creator \" + siteCreatorEmailAddress);\n\t\t\t\treturn; // user not authorized\n\t\t\t}\n\n\t\t\tclient = getGoogleClient( credential );\n\t\t\t\t\n\t\t\tString currentUserEmailAddress = getUserEmailAddress();\n\t\t\tAclRule rule = new AclRule();\n\t\t\tScope scope = new Scope();\n\n\t\t\tscope.setType(SakaiGCalendarServiceStaticVariables.RULE_SCOPE_TYPE_USER);\n\t\t\tscope.setValue(currentUserEmailAddress);\n\t\t\trule.setScope(scope);\n\t\t\t\n\t\t\t// Determine Google calendar permissions based on Sakai permissions\n\t\t\tif ( permission.equals(org.sakaiproject.site.api.SiteService.SECURE_UPDATE_SITE_MEMBERSHIP)) {\n\t\t\t\trule.setRole(SakaiGCalendarServiceStaticVariables.RULE_ROLE_OWNER);\n\t\t\t}\n\t\t\telse if ( permission.equals(SakaiGCalendarServiceStaticVariables.SECURE_GCAL_EDIT)) {\n\t\t\t\trule.setRole(SakaiGCalendarServiceStaticVariables.RULE_ROLE_WRITER);\n\t\t\t}\n\t\t\telse if ( permission.equals(SakaiGCalendarServiceStaticVariables.SECURE_GCAL_VIEW_ALL) \|\| isSuper) {\n\t\t\t\trule.setRole(SakaiGCalendarServiceStaticVariables.RULE_ROLE_READER);\n\t\t\t}\n\t\t\telse if ( permission.equals(SakaiGCalendarServiceStaticVariables.SECURE_GCAL_VIEW)) {\n\t\t\t\trule.setRole(SakaiGCalendarServiceStaticVariables.RULE_ROLE_FREEBUSYREADER);\n\t\t\t}\n\t\t\telse {\n\t\t\t\trule.setRole(SakaiGCalendarServiceStaticVariables.RULE_ROLE_FREEBUSYREADER); // should never fall through\n\t\t\t}\n\t\t\t// TODO: although this seems to work, we should update the role if it already exists AND we should test the return\n\t\t\ttry {\n\t\t\t\tAclRule createdRule = client.acl().insert(gcalid, rule).execute();\n\t\t\t} catch (IOException e) {\n\t\t\t\tM_log.error(\"addUserToAccessControlList for site \" + site.getId() + \" \" + e.getMessage());\n\t\t\t\treturn;\n\t\t\t}\n\t\t\t\n\t\t\t// Save gcalid in user preferences (so we know the user has been added to the google calendar ACL)\t\t\n\t\t\tsaveGCalProperty(currentUserId, gcalid, permission);\n \t}\n }", "@Override\n public void onRequestPermissionsResult(int requestCode, String[] permissions, int[] grantResults) {\n if (requestCode == PERMISSIONS_REQUEST_WRITE_CONTACTS) {\n if (grantResults[0] == PackageManager.PERMISSION_GRANTED) {\n } else {\n Toast.makeText(this, \"Contact permission is mandatory!!\", Toast.LENGTH_LONG).show();\n }\n }\n }", "@RequestMapping(\"Permission/add\")\n\tpublic RespStat permissionadd(\n\t\t\t@RequestParam int[] permissions,\n\t\t\t@RequestParam int id\n\t\t\t) {\n\t\n\t\t\n\t\troleSrv.addPermission(id,permissions);\n\t\tSystem.out.println(\"permissionids:\" + ToStringBuilder.reflectionToString(permissions));\n\t\treturn RespStat.build(200);\n\t\t\n\t}", "public boolean requiresPostApproval() {\n return true;\n }", "public String addMember()//value=\"addmember\", method=RequestMethod.)\n\t{\n\t\treturn \"addmember\";\n\t}", "@Override\n public void onPermissionGranted(PermissionGrantedResponse permissionGrantedResponse) {\n\n }", "private void sendPermissions(final WebDriver driver, final String unAssignedPermission) {\n\n clickPermissionsTab();\n isDisplayedById(driver, roleConfig.get(UNASSIGNED_PERMISSIONS), MEDIUM_TIMEOUT);\n\n final String[] unAssignedPermissionList = unAssignedPermission.split(\",\");\n for (final String permissionText : unAssignedPermissionList) {\n\n int lastIndexOfSplit = permissionText.lastIndexOf(\"-\") + 1;\n\n final String property = permissionText.substring(0, lastIndexOfSplit - 1);\n final String permissionButton = permissionText.substring(lastIndexOfSplit,\n permissionText.length());\n\n final Permission permission = Permission.valueOf(permissionButton);\n int selectedPermission = 0;\n switch (permission) {\n case R:\n selectedPermission = 1;\n DriverConfig.setLogString(\"Read Only Permissions.\", true);\n break;\n case RW:\n selectedPermission = 2;\n DriverConfig.setLogString(\"Read/Write Permissions.\", true);\n break;\n case RWD:\n selectedPermission = 3;\n DriverConfig.setLogString(\"Read/Write/Delete Permissions.\", true);\n break;\n default:\n break;\n }\n final Select permissionSelect = new Select(driver.findElement(By.id(roleConfig\n .get(UNASSIGNED_PERMISSIONS))));\n permissionSelect.selectByVisibleText(property);\n DriverConfig.setLogString(\"Permissions Granted for :\" + property, true);\n logger.info(\"select required permission.\");\n driver.findElement(By.id(\"add\" + selectedPermission)).click();\n }\n }", "int insertSelective(RolePermission record);", "@Override\n public void onRequestRefuse(String permissionName) {\n }", "public void grantOper2Role(final Role role, final String operId);", "PermissionType createPermissionType();", "@Override\n\tpublic void apply( final ApplyFn fn ) throws AccessDeniedException;", "@Override\r\n public void addGrantedNotification(NotificationDetail notificationDetail) {\n }", "private Future<Void> migratePermsAssign(ModuleId moduleId, Map<String, Permission> dbPerms,\n Conn connection, Context vertxContext, String tenantId) {\n Permission permission = dbPerms.get(PermissionUtils.PERMS_USERS_ASSIGN_MUTABLE);\n if (!\"mod-permissions\".equals(moduleId.getProduct())\n \|\| (permission != null && !permission.getDeprecated())) {\n return Future.succeededFuture();\n }\n Criteria nameCrit = new Criteria();\n nameCrit.addField(PERMISSION_NAME_FIELD);\n nameCrit.setVal(PermissionUtils.PERMS_OKAPI_ALL);\n nameCrit.setOperation(\"=\");\n return connection.get(PermsAPI.TABLE_NAME_PERMS, Permission.class, new Criterion(nameCrit), false)\n .compose(res -> {\n if (res.getResults().isEmpty()) {\n return Future.succeededFuture(); // okapi not enabled\n }\n Permission perm = res.getResults().get(0);\n List<Object> grantedTo = perm.getGrantedTo();\n List<Future<Void>> futures = new ArrayList<>(grantedTo.size());\n for (Object o : grantedTo) {\n futures.add(connection.getById(PermsAPI.TABLE_NAME_PERMSUSERS, (String) o, PermissionUser.class)\n .compose(permUser -> migratePermsAssignUser(permUser, connection, vertxContext, tenantId))\n .mapEmpty());\n }\n return GenericCompositeFuture.all(futures).mapEmpty();\n });\n }", "@GetMapping(path = \"/addUser\")\n @PreAuthorize(\"hasAnyRole('ROLE_ADMIN')\")\n public String addUser(Model model){\n return \"addUser\";\n }", "void addUserpan(String userid,String username,String userpwd);", "public void savePermission(Permission newEntity) throws DAOException;", "private void addApplicationsPermissionsToRegistry() throws APIManagementException {\n Registry tenantGovReg = getRegistry();\n String permissionResourcePath = CarbonConstants.UI_PERMISSION_NAME + RegistryConstants.PATH_SEPARATOR + APPLICATION_ROOT_PERMISSION;\n try {\n if (!tenantGovReg.resourceExists(permissionResourcePath)) {\n String loggedInUser = CarbonContext.getThreadLocalCarbonContext().getUsername();\n UserRealm realm = (UserRealm) CarbonContext.getThreadLocalCarbonContext().getUserRealm();\n // Logged in user is not authorized to create the permission.\n // Temporarily change the user to the admin for creating the permission\n PrivilegedCarbonContext.getThreadLocalCarbonContext().setUsername(realm.getRealmConfiguration().getAdminUserName());\n tenantGovReg = CarbonContext.getThreadLocalCarbonContext().getRegistry(RegistryType.USER_GOVERNANCE);\n Collection appRootNode = tenantGovReg.newCollection();\n appRootNode.setProperty(\"name\", \"Applications\");\n tenantGovReg.put(permissionResourcePath, appRootNode);\n PrivilegedCarbonContext.getThreadLocalCarbonContext().setUsername(loggedInUser);\n }\n } catch (org.wso2.carbon.user.core.UserStoreException e) {\n throw new APIManagementException(\"Error while reading user store information.\", e);\n } catch (org.wso2.carbon.registry.api.RegistryException e) {\n throw new APIManagementException(\"Error while creating new permission in registry\", e);\n }\n }", "public synchronized void grantPrivilegeToGroup(Integer groupId, Long resourceId, ResourceType resourceType, String permissionName) {\n final GroupEntity group = groupDAO.findByPK(groupId);\n final PrivilegeEntity privilege = new PrivilegeEntity();\n ResourceTypeEntity resourceTypeEntity = new ResourceTypeEntity();\n resourceTypeEntity.setId(resourceType.getId());\n resourceTypeEntity.setName(resourceType.name());\n privilege.setPermission(permissionDAO.findPermissionByNameAndType(permissionName, resourceTypeEntity));\n privilege.setPrincipal(group.getPrincipal());\n privilege.setResource(resourceDAO.findById(resourceId));\n if (!group.getPrincipal().getPrivileges().contains(privilege)) {\n privilegeDAO.create(privilege);\n group.getPrincipal().getPrivileges().add(privilege);\n principalDAO.merge(group.getPrincipal()); //explicit merge for Derby support\n groupDAO.merge(group);\n privilegeDAO.merge(privilege);\n }\n }", "@Log(\"集中授权(ACL)admin authority granted >> Role : acl = m:n\")\n @ApiOperation(\"集中授权(ACL)\")\n @PostMapping(value = \"/authorization/acl\")\n public ResponseEntity<Object> doAuthorizationAcl(@Validated @RequestBody List<RoleAclVo> roleAclVo, HttpServletRequest request) {\n return ResponseEntity.ok(rolesAclService.grantAuthorizater(roleAclVo));\n }", "public String getFloodPerm() throws PermissionDeniedException;", "void setPerm(String name,\n Object value);", "public void createIndividualAcl(Individual i);", "@Override\n\tprotected Set<RequestTypeEnum> provideAllowableRequestTypes() {\n\t\treturn Collections.singleton(RequestTypeEnum.POST);\n\t}", "public Verb getAccessTokenVerb() {\n\n\treturn Verb.POST;\n }", "@Log(\"集中授权(ABAC)admin authority granted >> Role : abac = m:n\")\n @ApiOperation(\"集中授权(ABAC)\")\n @PostMapping(value = \"/authorization/abac\")\n public ResponseEntity<Object> doAuthorizationAbac(@Validated @RequestBody List<RoleAbacVo> roleAbacVo, HttpServletRequest request) {\n return ResponseEntity.ok(rolesAbacService.grantAuthorizater(roleAbacVo));\n }", "public void doPostAccessEntry(String message) {\n\t\t\n\t}", "public void addPostEvent()\r\n\t{\r\n\t\tfor(Event recordedEvent : eventsCount)\r\n\t\t{\r\n\t\t\tif(recordedEvent.getRequestType().equals(RequestMethod.POST))\r\n\t\t\t{\r\n\t\t\t\trecordedEvent.setAccessCount(recordedEvent.getAccessCount() + 1);\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\t}", "void addContributor(Long userId, Long contributorId);", "public void addAccess(String accessId);", "private void createAdmin(String book_email,String book_phone,String book_title) {\n // TODO\n // In real apps this userId should be fetched\n // by implementing firebase auth\n if (TextUtils.isEmpty(bookId)) {\n bookId = mFirebaseDatabase.push().getKey();\n }\n\n Book book = new Book(book_email,book_phone,book_title);\n\n mFirebaseDatabase.child(bookId).setValue(book);\n\n addUserChangeListener();\n }", "public void addRole(String roleName) throws UnsupportedOperationException;", "public Boolean setFloodPerm(String floodPerm) throws PermissionDeniedException;" ]	[ "0.6322108", "0.61841404", "0.6155269", "0.5965115", "0.5965115", "0.5943902", "0.5797699", "0.5782306", "0.57617855", "0.5754413", "0.5748173", "0.5730651", "0.5713685", "0.5678766", "0.5652665", "0.56411654", "0.56411654", "0.56213236", "0.56083083", "0.5594921", "0.5570607", "0.5568631", "0.5550313", "0.5523292", "0.5476674", "0.5466554", "0.5459067", "0.544828", "0.54398286", "0.54143906", "0.54065233", "0.5390092", "0.537497", "0.53739023", "0.53691155", "0.5341605", "0.5335849", "0.5326658", "0.5322835", "0.5322835", "0.5322835", "0.53175974", "0.53084826", "0.52859265", "0.52786005", "0.52575475", "0.52471405", "0.5240177", "0.52345765", "0.5229968", "0.52286685", "0.52216214", "0.52182937", "0.5212338", "0.5203743", "0.5194122", "0.51933455", "0.5183428", "0.51796854", "0.51796854", "0.517959", "0.5165209", "0.51638424", "0.51406413", "0.5135639", "0.51325166", "0.5125613", "0.5122976", "0.5108751", "0.5095225", "0.5090825", "0.50891244", "0.508268", "0.50785726", "0.50783414", "0.50668895", "0.5063439", "0.5063074", "0.50556374", "0.5055441", "0.5054812", "0.5054652", "0.50284046", "0.502809", "0.5016736", "0.5016103", "0.50143427", "0.50112635", "0.5010879", "0.5009449", "0.50058615", "0.50013584", "0.50011337", "0.49955967", "0.499039", "0.49872243", "0.4984226", "0.49809015", "0.49775237", "0.4974399" ]	0.5044881	82
Method to delete staff using staff id.	@DeleteMapping("/deleteStaff/{id}") public void deleteStaff(@PathVariable("id") int id) { staffService.deleteStaff(id); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@DELETE\r\n\t@Path(\"{id}\")\r\n\tpublic void deleteStaff(@PathParam(\"id\") int id) {\r\n\t\tservice.deleteStaff(id);\r\n\t}", "@Override\n\tpublic int deleteByPrimaryKey(Integer id) {\n\t\treturn staffMapper.deleteByPrimaryKey(id);\n\t}", "@DeleteMapping(\"/{staffId}\")\n\tpublic String removeStaff(@PathVariable(\"staffId\") int sId) {\n\t\tif (universityService.removeStaff(sId))\n\t\t\treturn \"Staff Data with id \"+sId+\" Deleted Succesfully\";\n\t\telse\n\t\t\tthrow new DataNotFoundException(\"Delete\", \"Staff with id \" + sId + \" not found\");\n\t}", "public boolean deleteStaff(Staff staff) {\n\t\treturn false;\n\t}", "@Override\n public com.ext.portlet.model.StaffMember deleteStaffMember(long id)\n throws com.liferay.portal.kernel.exception.PortalException,\n com.liferay.portal.kernel.exception.SystemException {\n return _staffMemberLocalService.deleteStaffMember(id);\n }", "public void delete(String id) throws Exception{\n try {\n this.staff = this.findById(id);\n this.em.remove(this.staff);\n }catch(TransactionalException ex){\n throw new Exception(\"There is no transaction for this entity manager\");\n }\n }", "public int staffDelete(String sid) {\n\t\treturn staffDao.staffDelete(sid);\n\t}", "public void deleteStaffId(String staffId) throws StaffIdNotEmptyException {\n profile.deleteStaffId(staffId);\n }", "public static void deleteStaffInformation(int staffID) throws SQLException {\n\n try (Connection conn = ConnectionFactory.getConnection()) {\n\n PreparedStatement st = conn.prepareStatement(DELETE_STAFF_INFORMATION);\n st.setInt(1, staffID);\n st.executeUpdate();\n\n }\n\n }", "public void delete(Long id) {\n log.debug(\"Request to delete Faculty : {}\", id);\n facultyRepository.deleteById(id);\n }", "@Test\n public void testStaffFactoryRemove() {\n StaffController staffController = staffFactory.getStaffController();\n staffController.removeStaff(STAFF_NAME, 1);\n assertEquals(0, staffController.getStaffList().size());\n }", "public void deleteStaff(String email) throws SQLException {\n st.executeUpdate(\"DELETE FROM IOTBAY.STAFF WHERE EMAIL='\" + email + \"'\");\n\n }", "void deletePersonById( final Long id );", "public void deleteById(Long id);", "public void delete(Long id);", "public void delete(Long id);", "public void delete(Long id);", "public void delete(Long id);", "public void delete(Long id);", "int deleteByExample(CxBasStaffExample example);", "public void delete(String id);", "public void delete(String id);", "public void delete(String id);", "public void delete(String id);", "public void delete(String id);", "public void deleteById(String id);", "void delete(final Long id);", "void deleteById(Long id);", "void deleteById(Long id);", "void deleteById(Long id);", "void deleteById(Long id);", "public void DeleteCust(String id);", "void deleteById(final String id);", "void deleteById(String id);", "void deleteById(String id);", "void deleteById(String id);", "void deleteById(String id);", "void deleteById(String id);", "void deleteById(String id);", "void deleteById(String id);", "void deleteById(String id);", "void deleteById(String id);", "void deleteById(String id);", "public void deleteById(long id) {\n\t\t\n\t}", "public void delete(Long id) {\n\r\n\t}", "public void delete(int id);", "public void deleteById(long id) {\n\n\t}", "void deleteDepartmentById(Long id);", "@Override\n\tpublic int del(int id) {\n\t\treturn usersDAO.del(id);\n\t}", "public String deleteResearcher(int id);", "@Override\r\n\tpublic void deleteEmployee(int id) {\n\t\ttry {\r\n\t DirectlyDatabase.update(PropertyManager.getProperty(\"db_employee_delete\"), id +\"\"); \r\n\t\t} catch (SQLException ex) {\r\n System.out.println(ex.toString());\r\n }\t\r\n\t}", "void deleteById(long id);", "@Override\n public void delete(Long id) {\n log.debug(\"Request to delete Studente : {}\", id); studenteRepository.deleteById(id);\n }", "public void deleteAdmin(Long idAdmin);", "public void delete(String id){\n\t\tSystem.out.println(\"deleting user details..\");\n\n\t\tif(userRepositary.existsById(id)){\n\t\t\tuserRepositary.deleteById(id);\n\t\t}else{\n\t\t\tSystem.out.println(\"data doesn't exists for this id: \"+id);\n\t\t}\n\t}", "void deleteUserById(Long id);", "@Override\n\tpublic int updateStaff(int staff_id) throws Exception {\n\t\treturn dao.update(staff_id);\n\t}", "void deleteById(int id);", "public void delete(int id) {\n\n\t}", "public boolean delete(String id);", "public boolean delete(String id);", "public void delete(Integer id);", "public void delete(Integer id);", "public void delete(Integer id);", "void delete( Long id );", "int deleteById(Long id);", "@Override\r\n\tpublic void delete(Integer id) {\n\t\tempdao.deleteById(id);\r\n\t}", "public void deleteEmployee(int id) {\r\n\t\temployee1.remove(id);\r\n\t}", "@Override\n\tpublic void deleteStudentById(long id) {\n\t\t\n\t}", "void deleteUser(int id);", "public void deleteUser(String id) {\n\t\tSystem.out.println(\"deleteUser\");\n\t\t personDAO.deleteUser(id);\n\t}", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);", "void delete(Long id);" ]	[ "0.8187765", "0.8095777", "0.7876639", "0.78306097", "0.7528557", "0.7523649", "0.74299777", "0.7331153", "0.7202972", "0.69408184", "0.68353397", "0.6608285", "0.6604088", "0.6570842", "0.65636706", "0.65636706", "0.65636706", "0.65636706", "0.65636706", "0.6562896", "0.653568", "0.653568", "0.653568", "0.653568", "0.653568", "0.650957", "0.64943707", "0.6471673", "0.6471673", "0.6471673", "0.6471673", "0.6463229", "0.64581335", "0.6450217", "0.6450217", "0.6450217", "0.6450217", "0.6450217", "0.6450217", "0.6450217", "0.6450217", "0.6450217", "0.6450217", "0.6429713", "0.64146", "0.6413101", "0.6388422", "0.63646096", "0.636385", "0.6361746", "0.63487947", "0.63377064", "0.6337684", "0.6317796", "0.6303719", "0.63034517", "0.63006747", "0.62977576", "0.6281885", "0.6280843", "0.6280843", "0.6275648", "0.6275648", "0.6275648", "0.62710446", "0.62651324", "0.6254483", "0.624596", "0.62448335", "0.62400544", "0.62353045", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673", "0.6228673" ]	0.8207248	0
Method to add newly or update on existing staff.	@PutMapping("/updateStaff") public Staff updateStaff(@RequestBody Staff staff) { return staffService.updateStaff(staff); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public boolean updateStaff(Staff staff) {\n\t\treturn false;\n\t}", "public Boolean addStaff(StaffPojo staff) {\n\t\tLoginPojo login = new LoginPojo();\n\t\tString sid = staffDao.addStaff(staff);\n\t\tif(sid.equals(\"false\"))\n\t\t\treturn false;\n\t\telse\n\t\t{\n\t\t\tlogin.setUserName(staff.getStaffUserName());\n\t\t\tlogin.setPassword(staff.getStaffPassword());\n\t\t\tlogin.setUserId(sid);\n\t\t\tlogin.setUserCategory(\"S\");\n\t\t\tlogin.setRoleId(3);\n\t\t\tif(loginDao.addUser(login))\n\t\t\t\tSystem.out.println(\"user not added\");\n\t\t\telse \n\t\t\t\tSystem.out.println(\"user added\");\n\t\t\treturn true;\n\t\t}\n\t}", "public boolean staffUpdate(StaffPojo staff) {\n\t\treturn staffDao.staffUpdate(staff);\n\t}", "@Override\n\tpublic int updateStaff(int staff_id) throws Exception {\n\t\treturn dao.update(staff_id);\n\t}", "@PostMapping(\"/addStaff\")\n\tpublic Staff addStaff(@RequestBody Staff staff) {\n\t\treturn staffService.addStaff(staff);\n\t}", "public void setStaffID() {\r\n\t\t\t staffID = IDFactory.getID(\"ST\");\r\n\t\t}", "@PutMapping\n\tpublic String updateStaff(@Valid @RequestBody UniversityStaffMember staff) {\n\t\tif (universityService.updateStaff(staff))\n\t\t\treturn \"Staff data updated\";\n\t\telse\n\t\t\tthrow new DataNotFoundException(\"Update\", \"Staff with id \" + staff.getStaffId() + \" not found\");\n\t}", "public void uptadeDB(){\n //mainDatabase.modifyStaff(this);\n }", "public void addStaff(String name, String dob, String email, String number, String address, String password) throws SQLException { //code for add-operation \n st.executeUpdate(\"INSERT INTO IOTBAY.STAFF \" + \"VALUES ('\" \n + name + \"', '\" + dob + \"', '\" \n + email + \"', '\" + number+ \"', '\" \n + address + \"', '\" + password + \"')\");\n\n }", "public void addStaffID(String id, String username) {\n profile.addStaffID(id, username);\n }", "@PostMapping\n\tpublic String addStaff(@Valid @RequestBody UniversityStaffMember staff) {\n\t\t//System.out.println(staff);\n\t\tif (universityService.viewStaff(staff.getStaffId()) == null) \n\t\t{\n\t\t\tuniversityService.addStaff(staff);\n\t\t\treturn \"Data saved Succesfully\";\n\t\t}\n\t\telse\n\t\tthrow new DuplicateDataException(\"Duplicate Staff Id\");\n\t}", "public void registerStaffToShop(Staff staff) throws RosterException {\n\t\t_staffList.registerStaff(staff); //register into the staff list.\n\t}", "public void setStaff_name(String staff_name) {\n this.staff_name = staff_name;\n }", "public void onAssignStaffToRequest(CustomerRequest request, String staff);", "@Override\r\n\tpublic Staff save(Staff entity) {\n\t\treturn staffDao.save(entity);\r\n\t}", "public boolean updateStaffStatus(int Id,String status);", "@Override\n\tpublic int updateByPrimaryKey(Staff record) {\n\t\treturn staffMapper.updateByPrimaryKey(record);\n\t}", "public void addPerson(Person thePerson) {\r\n staff.add(thePerson);\r\n }", "public void addStaff(String json){\n\t\tthis.addStaff(gs.fromJson(json, Staff.class));\r\n\t}", "@POST\r\n\t@Produces(\"application/JSON\")\r\n\t@Consumes(\"application/JSON\")\r\n\tpublic ZooStaff createStaff(ZooStaff staff) {\r\n\t\tservice.registerStaff(staff);\r\n\t\treturn staff;\r\n\t}", "public ID getStaffID() {\r\n\t\t\t\r\n\t\t\treturn staffID;\r\n\t\t}", "public void setStaffID(int staffID) {\r\n\t\tthis.staffID = staffID;\r\n\t}", "@Override\n public com.ext.portlet.model.StaffMember createStaffMember(long id) {\n return _staffMemberLocalService.createStaffMember(id);\n }", "@Test\n public void testStaffFactoryCreate() {\n StaffController staffController = staffFactory.getStaffController();\n staffController.addStaff(STAFF_NAME, STAFF_GENDER, STAFf_ROLE);\n assertEquals(1, staffController.getStaffList().size());\n }", "@Override\n\tpublic int updateByPrimaryKeySelective(Staff record) {\n\t\treturn staffMapper.updateByPrimaryKeySelective(record);\n\t}", "@Test\n public void testStaffFactoryGetStaff() {\n StaffController staffController = staffFactory.getStaffController();\n staffController.addStaff(STAFF_NAME, STAFF_GENDER, STAFf_ROLE);\n assertEquals(STAFF_NAME, staffController.getStaff(1).getName());\n }", "@Override\n\tpublic int insert(Staff record) {\n\t\treturn staffMapper.insert(record);\n\t}", "public int getStaffID() {\r\n\t\treturn staffID;\r\n\t}", "@Override\n public com.ext.portlet.model.StaffMember addStaffMember(\n com.ext.portlet.model.StaffMember staffMember)\n throws com.liferay.portal.kernel.exception.SystemException {\n return _staffMemberLocalService.addStaffMember(staffMember);\n }", "public static void updateStaffInformation(int staffID, String name, Date dob, String gender, String jobTitle,\n String professionalTitle, String department, String phone,\n String address) throws SQLException {\n\n try (Connection conn = ConnectionFactory.getConnection()) {\n\n PreparedStatement get = conn.prepareStatement(GET_STAFF_INFORMATION);\n get.setInt(1, staffID);\n ResultSet staff = get.executeQuery();\n\n if (staff.next()) {\n\n PreparedStatement st = conn.prepareStatement(UPDATE_STAFF_INFORMATION);\n st.setString(1, (name != null) ? name : staff.getString(\"Name\"));\n st.setDate( 2, (dob != null) ? dob : staff.getDate( \"DOB\"));\n st.setString(3, (gender != null) ? gender : staff.getString(\"Gender\"));\n st.setString(4, (jobTitle != null) ? jobTitle : staff.getString(\"JobTitle\"));\n st.setString(5, (professionalTitle != null) ? professionalTitle : staff.getString(\"ProfessionalTitle\"));\n st.setString(6, (department != null) ? department : staff.getString(\"Department\"));\n st.setString(7, (phone != null) ? phone : staff.getString(\"PhoneNumber\"));\n st.setString(8, (address != null) ? address : staff.getString(\"Address\"));\n st.setInt( 9, staffID);\n st.executeUpdate();\n\n }\n else {\n\n throw new SQLException(String.format(\"No staff member with ID %d.\", staffID));\n\n }\n\n }\n\n }", "private void initStaff(){\n //wake movie staff, maintains ArrayList MovieModel and MovieItem buffers\n mMovieStaff = new MovieStaff(this);\n\n //wake refresh staff, maintains HashMap RefreshItem buffers\n mRefreshStaff = new RefreshStaff(this);\n mRefreshStaff.setRefreshMap(mRefreshValet.getRefreshMap());\n\n //wake house keeper staff, maintains HashMap MyHouseKeeper buffer\n mKeeperStaff = new HouseKeeperStaff(this);\n\n //wake maid staff, maintains HashMap MyMaid buffer\n mMaidStaff = new MaidStaff(this);\n }", "public StaffPath staff() {\n if (_staff == null)\n _staff = new StaffPath(this, Keys.PAYMENT_P2007_03__PAYMENT_P2007_03_STAFF_ID_FKEY, null);\n\n return _staff;\n }", "public interface StaffDao {\n public List<Staff> findStaff();\n\n public List<Staff> findAll();\n\n public void add(Staff staff);\n\n public void delete(String no);\n\n public void update(Staff staff);\n}", "public interface IStaff {\n List<Staff> getStaffs();\n boolean addStaff(Staff staff);\n boolean updateStaff(Staff staff);\n boolean deleteStaff(List<Long> id);\n Staff getStaff(Long id);\n}", "public void add_admin(String admin_id, String admin_name, String admin_address, String admin_designation,\n\t\t\t double salary, String contact, boolean status_vacancy, String password,String admin_project_key)\n {\n\t\t\n \tadm_list.insert(new Admin(admin_id,admin_name,admin_address,admin_designation, salary,contact,status_vacancy,password,admin_project_key));\n \twrite_adm_file();\n }", "public void updateStaffDetails(String action, String name, String branch) {\n fillCreateOrEditForm(name, branch);\n clickOnBtn(action);\n waitForElementInvisibility(xpathBtn.replace(\"btn\", action));\n logger.info(\"# Updated staff details\");\n }", "private void createBtnActionPerformed(java.awt.event.ActionEvent evt) {\n\n staff.setName(regName.getText());\n staff.setID(regID.getText());\n staff.setPassword(regPwd.getText());\n staff.setPosition(regPos.getSelectedItem().toString());\n staff.setGender(regGender.getSelectedItem().toString());\n staff.setEmail(regEmail.getText());\n staff.setPhoneNo(regPhone.getText());\n staff.addStaff();\n if (staff.getPosition().equals(\"Vet\")) {\n Vet vet = new Vet();\n vet.setExpertise(regExp.getSelectedItem().toString());\n vet.setExpertise_2(regExp2.getSelectedItem().toString());\n vet.addExpertise(staff.getID());\n }\n JOptionPane.showMessageDialog(null, \"User added to database\");\n updateJTable();\n }", "public void setClStaffId(String clStaffId) {\r\n\t\tthis.clStaffId = clStaffId;\r\n\t}", "public void addAdmin(Admin admin);", "@Override\n public void changeContact(String id,String pass,String newno) throws IOException\n {\n \tNode<Admin> pos = adm_list.getFirst();\n \twhile(pos!=null)\n \t{\n \t\tif(pos.getData().employee_id.equals(id) && pos.getData().password.equals(pass))\n \t\t{\n \t\t\tpos.getData().contact = newno;\n \t\t}\n \t\tpos = pos.getNext();\n \t}\n \twrite_adm_file();\n }", "@Override\n public void edit(){\n Integer Pointer=0;\n FileWriter editDetails = null;\n ArrayList<String> lineKeeper = saveText();\n\n /* Search into the list to find the Username, if it founds it, changes the\n * old information with the new information.\n * Search/\n if(lineKeeper.contains(getUsername())){\n Pointer=lineKeeper.indexOf(getUsername());\n\n //Write the new information\n lineKeeper.set(Pointer+1, getPassword());\n lineKeeper.set(Pointer+2, getFirstname());\n lineKeeper.set(Pointer+3, getLastname());\n lineKeeper.set(Pointer+4, DMY.format(getDoB()));\n lineKeeper.set(Pointer+5, getContactNumber());\n lineKeeper.set(Pointer+6, getEmail());\n lineKeeper.set(Pointer+7, String.valueOf(getSalary()));\n lineKeeper.set(Pointer+8, getPositionStatus());\n Pointer=Pointer+9;\n homeAddress.edit(lineKeeper,Pointer);\n }//end if\n\n try{\n editDetails= new FileWriter(\"employees.txt\",false);\n for( int i=0;i<lineKeeper.size();i++){\n editDetails.append(lineKeeper.get(i));\n editDetails.append(System.getProperty(\"line.separator\"));\n }//end for\n editDetails.close();\n editDetails = null;\n }//end try\n catch (IOException ioe) {}//end catch\n }", "public void hireFullTimeStaff (String staffName, String joiningDate, String qualification, String appointedBy) {\n if (joined == true) {\n System.out.println(\"The name of staff is \"+staffName+\"\"+\"and the joining date is \"+joiningDate);\n }else{\n this.staffName = staffName;\n this.joiningDate = joiningDate;\n this.qualification = qualification;\n this.appointedBy = appointedBy;\n joined = true;\n }\n }", "public String getStaff_name() {\n return staff_name;\n }", "@Override\n\tpublic int insertSelective(Staff record) {\n\t\treturn staffMapper.insertSelective(record);\n\t}", "public void saveOrUpdateProfile(){\n try {\n \n if(PersonalDataController.getInstance().existRegistry(username)){\n PersonalDataController.getInstance().update(username, staff_name, staff_surname, \n Integer.parseInt(id_type), \n id_number, imagePic, phone_number, mobile_number, email, birthdate, \n Integer.parseInt(gender), birthdate);\n }else{\n PersonalDataController.getInstance().create(username, staff_name, staff_surname, \n Integer.parseInt(id_type), \n id_number, imagePic, phone_number, mobile_number, email, birthdate, \n Integer.parseInt(gender));\n }\n } catch (GB_Exception ex) {\n LOG.error(ex);\n GBMessage.putMessage(GBEnvironment.getInstance().getError(32), null);\n }\n GBMessage.putMessage(GBEnvironment.getInstance().getError(33), null);\n }", "public boolean createPersonalDetails(Integer staffID, String surname, String name, Date dob, String address, String town, String county,\n String postCode, String telNo, String mobileNo, String emergencyContact, String emergencyContactNo){\n\n\n hrDB.addPDRecord(staffID, surname, name, dob, address, town, county,\n postCode, telNo, mobileNo, emergencyContact, emergencyContactNo);\n return true;\n\n\n }", "public void updateStaff(String name, String dob, String email, String number, String address, String password) throws SQLException {\n st.executeUpdate(\"UPDATE IOTBAY.STAFF SET \"\n + \"NAME ='\" + name \n + \"DATEOFBIRTH ='\" + dob \n + \"PHONENUMBER ='\" + number \n + \"ADDRESS ='\" + address \n + \"PASSWORD ='\" + password \n + \"' WHERE EMAIL='\" + email + \"'\" );\n\n }", "public Staff() {\n\t\tthis.staffId = null;\n\t\tthis.staffPass = null;\n\t}", "public Staff(String username, String password, String firstName, \n String lastName, int id, String position, String department) \n {\n super(username, password, firstName, lastName, id);\n this.position = position;\n this.department = department;\n }", "@Override\n public com.ext.portlet.model.StaffMember updateStaffMember(\n com.ext.portlet.model.StaffMember staffMember)\n throws com.liferay.portal.kernel.exception.SystemException {\n return _staffMemberLocalService.updateStaffMember(staffMember);\n }", "@Override\r\n public Staff getStaff ()\r\n {\r\n if (super.getStaff() == null) {\r\n if (!getNotes().isEmpty()) {\r\n Note note = (Note) getNotes().get(0);\r\n setStaff(note.getStaff());\r\n }\r\n }\r\n\r\n return super.getStaff();\r\n }", "public List<Staff> findAllStaffMembers(){\n\t\treturn staffRepository.findAll();\n\t}", "public Staff(String staffId, String staffPass) {\n\t\tthis.staffId = staffId;\n\t\tthis.staffPass = staffPass;\n\t}", "public Staff manageStaffList(String givenName, String familyName) throws RosterException {\n\t\treturn _staffList.getStaff(givenName + \" \" + familyName);\n\t}", "public StaffMember(String firstname, String surname, int staffID, DepartmentStaff deptStaff, StaffType roleStaff) {\n this.firstname = firstname;\n this.surname = surname;\n this.staffID = staffID;\n this.deptStaff = deptStaff;\n this.roleStaff = roleStaff;\n }", "public void update(){\n\t\tif ( crm.addedNewStudent()){\n\t\t\tList<Student> students = crm.getStudents();\n\t\t\tStudent newest = students.get(students.size()-1);\n\t\t\tint ID = newest.ID();\n\t\t\tString name = newest.name();\n\t\t\tint GradYear = newest.GradYear();\n\t\t\tsv.addStudent(ID, name, GradYear);\n\t\t}\n\t}", "void update(Employee nurse);", "public interface StaffManager extends UniversalManager {\r\n\t\r\n\tClassTeacher getTeacherByClassandSubjectId(long staffId,long classId,long subjectId,String staffActiveStatus);\r\n\tClassTeacher getStudyClassSubject(long classId, long staffId);\r\n\tList<Student> getStudentByClassId(long classId);\r\n\tStudent getStudentById(long studentId);\r\n\tList<Leave> getLeavesListByAccountId(long accountId,String leaveStatus,long customerId,long academicYearId);\r\n\tList getAllCalendarEventsByCustomerId(long customerId);\r\n\tList getEventInvitedUserListByEventId(String eventId);\r\n\tList getEventsByDate(String eventDate);\r\n\tList<ClassTeacher> getTeacherSubjectsByIdAndAcademicYear(long staffId,long academicYearId,long custId);\r\n\tList<ViewStudentLeaveDetails> getAllStudentLeavesByStatusAndRoleNameAndSupervisorId(long customerId,String leaveStatus,String roleName,long supervisorId,long adademicYearId);\r\n\tList getTeacherSubjectsByStaffAndClassId(long accountId,long classId,long academicYearId);\r\n\tStudent getStudentByAcountId(long accountId);\r\n\tList<ViewStudentPersonAccountDetails> getStudentByClassIdAndStaffId(long classId,long customerId,long academicYearId,String status);\r\n\tStudent getStudentsByAccountId(long stuAccountId);\r\n\tList<ViewStudentPersonAccountDetails> getViewStudentPersonAccountDetailsByStudyClassIdandStatus(long classId,String status,String academicYearId);\r\n\tList getClassEventListByEventId(String eventId);\r\n\tViewStudentLeaveDetails getViewStudentLeaveDetailsByLeaveId(long leaveid,long customerId);\r\n\tRole getRoleDetailsByRoleName(String roleName);\r\n\tList getAllStudentStatus(String studentId);\r\n\tList getStudyClassSubjectByClassid(long classId);\r\n\tList getStudySubjectsId(String subjectId,String classId);\r\n\tList getTeacherSubjects(String subjectId);\r\n\tvoid removeRegistrationStudentEvent(String accountId,String eventId,String eventAcceptedStatus);\r\n\tList getStudentsByIds(String studentIds);\r\n\tList getNotInvitedStudents(String accountIds);\r\n\tList getAllLeavesListByAccountId(long accountId,long customerId);\r\n\tClassTeacher getClassTeacherByStaffIdandAcademicYear(long staffId,long academicYear,long custId);\r\n\tViewStaffPersonAccountDetails getFindStaffByIdOrName(String username, String firstName,long customerId);\r\n\tList getMyMessagesByReceiverAccountIdAndIsParent(String receiverAccountId, long customerId,String isParent);\r\n\tList<ViewClassExamDetails> getClassTeacherExamSchedules(long classId,long academicYear);\r\n\tString getClassIdByNameAndSection(String className,String section,long custId,long academicYear);\r\n\tList getFindStudentsListByIdOrName(String rollNumber,String firstName,long customerId,long academicYearId,long studyClassId);\r\n\tList getAllMessagesByMessageStatus(String messageStatus,long customreId,String academicYearId,Date messageDate);\r\n\tString getExamTypeIdByExamType(String examType,long custId,String academicYear);\r\n\tString getSubjectIdBySubjectName(String subjectName,long custId,long academicYear);\r\n\tExamSchedules getExamSchedule(String studyClassId,String examTypeId,String subjectId,long academicYear,long custId);\r\n\tList getEventAcceptedEventsByEventIdAndAccountId(String eventIds,long accountId,String eventAccepted);\r\n\tList getAllCalendarEventsByEventIds(String eventsIds,long customerId);\r\n\tList getClassEventListByClassId(long classId);\r\n\tList getTeacherExamSchedulesByClassIdandSubjectId(long classId,long subjectId,long academicYear);\r\n\tList getFindStaffListByIdOrName(String username,String firstName,long customerId);\r\n\tViewStaffPersonAccountDetails getStaffBirthDaysByAccountId(long staffId,long custId,long staffAccountId);\r\n\tList<ViewStaffPersonAccountDetails> getAllStaffBirthDaysList(String date1,long custId);\r\n\tList<ViewStudentPersonAccountDetails> getAllStudentBirthDaysList(String date1,long custId);\r\n\tList getMyMessagesBySenderAccountIdAndIsParent(String receiverAccountId, long customerId,String isParent);\r\n\tList getstudentMarksListByExamScheduleId(long scheduleId);\r\n\tList<ViewStudentPersonAccountDetails> getViewStudentPersonAccountDetailsByStudyClassIdandAccount(long classId,String status,long accountId,String academicYearId);\r\n\tdouble getPassStudentsCount(long scheduleId,double minMarks);\r\n\tdouble getFailStudentsCount(long scheduleId,double minMarks);\r\n\tSet getExamTypeIdsByClassIdandAcademicYear(long classId,long academicYear);\r\n\tList getExamTypesByExamTypeIds(String typeIds,long academicYear);\r\n\tList getClassExamSchedulesByExamTypeId(long examTypeId,long classId,long custId,long academicYear);\r\n\tSchoolHolidays checkSchoolHolidayBySelectedDate(String selectedDate,long customerId,long academicYearId);\r\n\tList<KBank> getKBankBySearchKewordsKBankTypeId(String searchKeywords,long kBankTypeId,long custId);\r\n\tScrapMessage saveScrapMessage(ScrapMessage scrapMessage);\r\n\tList<ScrapMessage> getAllScrapMessagesListBySenderAccId(long senderAccountId,String status,String replyStatus,long customerId,String academicYearId);\r\n\tList<ScrapMessage> getAllScrapMessagesListByReceiverAccId(long receiverrAccountId,String status,String replyStatus,long customerId,String academicYearId,String messageType);\r\n\tList getAllUsersByFirstNameOrLastName(String name,long customerId);\r\n\tList getMyFavouritiesByUserId(long accountId);\r\n\tList getMyFavouritiesByUserIdAndKBankId(long accountId,long kBankId);\r\n\tKBankRating getKBankRateByKBankId(String kBankId);\r\n\tList getPlayListVideosByKeywords(String keywords);\r\n\tList getQuizListWithCustId(long custId);\r\n\tList getQuizQuestionListWithCategoryId(long quizId,long custId);\r\n\tQuizQuestion getQuizQuestionId(long questionId,long custId);\r\n\tList getQuestionAnswersWithQuestionId(long questionId,long custId);\r\n\tQuestionAnswer getCorrectAnswerWithQuestionId(long questionId,long custId);\r\n\tList getAllAlertsByAlertStatus(long customerId,String alertType,String receiverType,boolean isAdmin,String academicYearId);\r\n\tList deleteAbsentStudents(String attenDate,long classId,long customerId);\r\n\tint getUpdateQuizQuestionStatus(long quizId,long custId,String selectdDate);\r\n\tList getUpdateStudentQuizStatus(long custId);\r\n\tList getQuizQuestionListWithStudentList(long quizId,long custId);\r\n\tList getQuizQuestionListWithCategoryIdAndTeacherId(long quizId,long staffId,long custId);\r\n\tString studentFailInAnnuallyExam(long studentId,long examTypeId,String minMarks);\r\n\tPromoteClass getPromoteClassDetails(long classId,long custId);\r\n\tString getStudentCountByClassId(long classId,long custId);\r\n\tViewStudentMarksDetails getStudentsMarksByClassIdandExamtypeId(long classId,long examTypeId,long custId,String academicYear,long studentId,long subjectId);\r\n\tList getMarksByClassIdandExamtypeId(long classId,long custid);\r\n\tString getStudentCountByClassNameClassId(long ClassNameClassId,long custId);\r\n\tList getExamScheduleIdsByAcademicYearandClassIdandExamTypeId(String academicYear,String classId ,String examTypeId);\r\n\tList getAllStudentMarksChangesByExamScheduleIds(String scheduleIds);\r\n\tint updateStudentMarksByStudentIdandScheduleId(String studentId,String scheduleId,String obtainedMarks);\r\n\tList getTeacherExamScheduleIdsByClassIdandSubjectId(long classId,long subjectId,long academicYear);\r\n\tvoid removeStudentMarksChangesByClassIdandSubjectIdandAcademicYear(String scheduleIds);\r\n\tViewStudentMarksDetails getStudentsMarksByStudentIdandExamTypeIdandSubjectId(long examTypeId,long custId,long studentId,long subjectId);\r\n\tList<ReplyScrapMessage> getAllReplyMessagesListByScrapId(long scrapId,long customerId);\r\n\tList<VWStudentAttendance> getStudentsAttendance(long custId, long academicYearId,int month,long classId, long classSectionId, String date);\r\n\tlong getStudentsAttendanceByClassSectionIdAndMonthId(long classSectionId,int monthId,long academicYearId,long custId,String attendanceStatus);\r\n\tList getStaffAttendanceByPresentStatusAndLeaveRequestStaus(long custId,long academicYearId, long staffId, String present,String leaveRequest);\r\n\tList<ViewStudentMarksDetails> getLatestUpdatedStudentMarksExamTypeIdsByClassSectionIdAndCustId(long classSectionId,long custId);\r\n\tList getTeacherSubjectsByStaffIdAndClassIdGroupByclassIdSubjectId(long staffId,long classId,long academicYearId);\r\n\tdouble getStudentsTotalMarksByClassIdTypeIdAndSubjId(long classSectionId,long examTypeId,long subjectId,long academicYearId);\r\n\tlong getStudentsCountByClassIdTypeIdAndSubjId(long classSectionId,long examTypeId,long subjectId,long academicYearId);\r\n\tList getIsClassTeacherByClassSectionAndStaffIdAndAcademicYear(long classSectionId,long staffId,long academicYearId);\r\n\tlong getPassStudentsCount(long classSectionId,long examTypeId,long subjectId,long academicYearId,double passMarks);\r\n\tlong getFailStudentsCount(long classSectionId,long examTypeId,long subjectId,long academicYearId,double passMarks);\r\n\tViewStaffPersonAccountDetails getStaffDetailsByAccountIdandStatus(long accountId,long academicYearId,String status,long custId);\r\n\tScrapMessage getScrapMessageBySenderAndReceiverId(long senderAccountId,long receiverAccountId,long customerId,long academicYearId) ;\r\n\tList getLatestSmsCount(long custId,long academicYearId);\r\n\tList<ViewStudentLeaveDetails> getAllFutureStudentLeavesByStatusAndRoleNameAndSupervisorId(long customerId, String leaveStatus, String roleName,long supervisorId,long academicYearId);\r\n\tList<ViewStudentMarksDetails> getStudentsMarksListByStudentIdandExamTypeIdandSubjectId(long examTypeId,long custId,long studentId,long subjectId);\r\n\tList<ViewStudentMarksDetails> getStudentsMarksListByStudentIdandExamTypeIdandSubjectIdAndSubTypeId(long examTypeId, long custId, long studentId, long subjectId,long subTypeId);\r\n\tString getSUMStudentsMarksByStudentIdandExamTypeIdandSubjectIdAndSubTypeId(long examTypeId, long custId, long studentId, long subTypeId);\r\n\tvoid removeStaffAttendanceByaccountIdAndDates(long accountId,String startDate,String endate,long custId,long academicYearId);\r\n\tint getTransportSmsCount(long custId,long academicYearId);\r\n\tList<VWStudentDailyAttendance> getStudentDailyAttendance(long custId, long classSectionId, String date);\r\n\tlong getStudentsMonthlyAttendanceByClassSectionIdAndMonthId(long classSectionId,int monthId,long academicYearId,long custId,long studentId);\r\n\tint getTotalWorkingDaysByClassSectionIdAndMonthId(long classSectionId,int monthId,long academicYearId,long custId,long studentId);\r\n\tvoid removeStudentDailyAttendance(long studentId,String startDate,String endate);\r\n\tClassTeacher getClassTeacherByAccountId(long accountId, long academicYearId);\r\n\tStaffDailyAttendance getStaffDailyAttendance(long accountId,String date);\r\n\tList getAllMessagesByAccountId(String messageStatus,long accountId,String academicYearId,Date messageDate);\r\n\tMap<String,String> disableStaff(long staffId,String reasonForDisable, long operatorId);\r\n\tvoid loadTeacher(Sheet sheet,String loadType, long custId,long loggedUserId);\r\n\tList<ViewStaffLeaveDetails> getAllFutureLeavesByStatusAndRoleName(long customerId,String leaveStatus,String roleName,long academicYearId);\r\n\tMap<String,String> addOrUpdateStaffAttendance(String strFormData, long academicYearId, long custId, long userId,String sms);\r\n\tboolean updateMessage(long messageId);\r\n\tint submitReplyMessage(ReplyScrapMessageMainVO replyScrapMessageMainVO);\r\n\tvoid updateRoleByUserId(long roleId,long userId);\r\n\tint submitParentMessage(SendMessageVO sendMessageVO);\r\n\tvoid sendNotificationForLeaveApproval(Leave leave, String channel);\r\n\tvoid sendNotificationForLeaveApprovalForHostelLeave(HostelLeave hostelLeave, String channel);\r\n\tvoid sendNotificationForLeaveApply(Leave leave, String channel,long leaveId);\r\n\tint addOrUpdateStaffAttendanceFromApp(StaffDailyAttendanceMainVO staffDailyAttendanceMainVO);\r\n\tint deleteLeaveInfo(long leaveId);\r\n\tint leaveVoFromApp(LeavesVO leavesVO);\r\n\tint submitOrEditLeaves(Leave leaveObj, AcademicYear academicYearObj, User userObj,long custId, long leaveId, String channel, String stuHostelLeave);\r\n\tint approveOrRejectLeaves(User userObj,String leaveStatus, String approvalsComment, long leaveId, String channel, String forStaffOrStudent);\r\n\tList<BigInteger> getTeacherIdsByStudyClassSubject(long custId,long academicYearId,long studyClassId,long subjectId);\r\n\tTaskDetailsVO getTaskDetailsById(Long taskId);\r\n\tint addOrUpdateTaskDetails(TaskDetailsVO taskDetailsVO, User user, long academicYearId,String isCheckMobileService,String isCheckEmailService);\r\n\tint addOrUpdateReminder(ReminderVO reminderVO, User user, long academicYearId, String isCheckMobileService, String isCheckEmailService);\r\n\tint deleteTaskDetails(long taskId);\r\n\tTaskDetailsVO showTaskDetailsComments(long taskId);\r\n\tTaskDetailsVO showTaskInfromationInTaskProcess(long taskId);\r\n\tint addOrUpdateTaskInprogressOrComplete(long taskId, TaskHistoryVO taskHistoryVO, long userAcademicYearId);\r\n\tList getAllTaskdetails(String anyTitle, User user, boolean isClassTeacher);\r\n\tList getRemindersList(long custId, long userId); \r\n\tReminderVO getReminderDetailsById(Long id);\r\n}", "public StaffMember(){\r\n\t\tsuper();\r\n\t\tthis.job = \"\";\r\n\t\tthis.staffShows = new ArrayList<ScheduledConcert>();\r\n\t\tthis.setStaffID();\r\n\t}", "public List<StaffPojo> viewAllStaff() {\n\t\treturn staffDao.viewAllStaff();\n\t}", "public void addDoctorPerInfo(String doc_id, String doctor_login_id, String membership_id, String first_name, String middle_name, String last_name, String email_id, String phone_no, String company_id) {\n SQLiteDatabase db = this.getWritableDatabase();\n try {\n\n ContentValues values = new ContentValues();\n\n values.put(DOCTOR_ID, doc_id);\n values.put(DOCTOR_LOGIN_ID, doctor_login_id);\n values.put(DOCTOR_MEMBERSHIP_ID, membership_id);\n values.put(FIRST_NAME, first_name); // Name\n values.put(MIDDLE_NAME, middle_name);\n values.put(LAST_NAME, last_name);\n values.put(KEY_EMAIL, email_id);\n values.put(PHONE_NUMBER, phone_no);\n values.put(COMPANY_ID, company_id);\n values.put(\"created_at\", new AppController().getCurrentDate());\n //this will update record if exist else create new record 02-03-2017\n\n // db.insertWithOnConflict(TABLE_DOCTORINFO, DOCTOR_ID, values, SQLiteDatabase.CONFLICT_REPLACE);\n\n int u = db.update(TABLE_DOCTORINFO, values, \"doctor_id=?\", new String[]{doc_id});\n if (u == 0) {\n db.insertWithOnConflict(TABLE_DOCTORINFO, DOCTOR_ID, values, SQLiteDatabase.CONFLICT_REPLACE);\n }\n\n } catch (Exception e) {\n e.printStackTrace();\n } finally {\n if (db != null) {\n\n db.close(); // Closing database connection\n }\n }\n }", "public void setStaff_surname(String staff_surname) {\n this.staff_surname = staff_surname;\n }", "public StaffDetail(StaffDetail other) {\n __isset_bit_vector.clear();\n __isset_bit_vector.or(other.__isset_bit_vector);\n this.id = other.id;\n if (other.isSetStaffId()) {\n this.staffId = other.staffId;\n }\n if (other.isSetLoginType()) {\n this.loginType = other.loginType;\n }\n if (other.isSetLoginId()) {\n this.loginId = other.loginId;\n }\n if (other.isSetLoginPass()) {\n this.loginPass = other.loginPass;\n }\n if (other.isSetLoginPassEncrypt()) {\n this.loginPassEncrypt = other.loginPassEncrypt;\n }\n if (other.isSetPhoneNumber()) {\n this.phoneNumber = other.phoneNumber;\n }\n if (other.isSetStaffType()) {\n this.staffType = other.staffType;\n }\n if (other.isSetStatus()) {\n this.status = other.status;\n }\n if (other.isSetCertStatus()) {\n this.certStatus = other.certStatus;\n }\n this.avgScore = other.avgScore;\n if (other.isSetTag()) {\n this.tag = other.tag;\n }\n this.finishOrderCount = other.finishOrderCount;\n this.assignOrderCount = other.assignOrderCount;\n if (other.isSetExtraData1()) {\n this.extraData1 = other.extraData1;\n }\n if (other.isSetExtraData2()) {\n this.extraData2 = other.extraData2;\n }\n this.createTime = other.createTime;\n this.updateTime = other.updateTime;\n this.registerTime = other.registerTime;\n this.lastReceptionTime = other.lastReceptionTime;\n }", "public int createNewStaff(String name, String branch) {\n clickOnBtn(ActionsEnum.Create.name());\n fillCreateOrEditForm(name, branch);\n clickOnBtn(ActionsEnum.Save.name());\n waitForElementInvisibility(xpathBtn.replace(\"btn\", ActionsEnum.Save.name()));\n int id = getMaxId();\n logger.info(\"# Newly Created Staff's Id: \" + id);\n return id;\n }", "public String getClStaffId() {\r\n\t\treturn clStaffId;\r\n\t}", "void update(String userName, String password, String userFullname,\r\n\t\tString userSex, int userTel, String role);", "@Override\r\n\tpublic void add() {\n\t\tif(alreadyAdded()) {\r\n\t\t\tJOptionPane.showMessageDialog(null, \"Member is already added\");\r\n\t\t}else {\r\n\t\t\t\r\n\t\t\t\ttry(Connection connection= db.getConnection();) {\r\n\t \t\r\n\t\t\t\t\r\n\t\t\t\tString addString=\"INSERT INTO members VALUES(?,?,?,?)\";\r\n\t\t\t\tpreparedStatement=connection.prepareStatement(addString);\r\n\t\t\t\tpreparedStatement.setString(1, super.getIdString());\r\n\t\t\t\tpreparedStatement.setString(2, super.getNameString());\r\n\t\t\t\tpreparedStatement.setString(3, super.getSurnameString());\r\n\t\t\t\tpreparedStatement.setString(4, super.getEmailString());\r\n\t\t\t\t\r\n\t\t\t\tpreparedStatement.executeUpdate();\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t} catch (SQLException e) {\r\n\t\t\t\tJOptionPane.showMessageDialog(null, \"Something went wrong\");\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\t\t \r\n\t\t\r\n\t}", "@Put\n public void addMember(){\n try {\n controller.addMember(getQueryValue(\"id\"), getQueryValue(\"name\"));\n }catch(MenuException e){\n System.out.println(e.getMessage());\n }\n }", "int insertSelective(CxBasStaff record);", "public boolean deleteStaff(Staff staff) {\n\t\treturn false;\n\t}", "private static void LessonDAOUpdate() {\n PersonDAO personDAO = new PersonDAOImpl();\n\n Person person = personDAO.getPersonById(7);\n person.setFirstName(\"Teddy\");\n\n if(personDAO.updatePerson(person)) {\n System.out.println(\"Person Update Success!\");\n } else {\n System.out.println(\"Person Update Fail!\");\n }\n }", "public Staff(String[] db) {\n\t\tthis.staffId = db[0];\n\t\tthis.staffPass = db[1];\n\t}", "public String addPromotionStaff() throws Exception {\n\t\tactionStartTime = new Date();\n\t\tresetToken(result);\n\t\tresult.put(ERROR, true);\n\t\tif (promotionId == null \|\| promotionId < 1 \|\| lstId == null \|\| lstId.size() == 0 \|\| lstQtt == null \|\| lstQtt.size() == 0 \|\| lstId.size() != lstQtt.size()) {\n\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_DATA_CORRECT));\n\t\t\treturn JSON;\n\t\t}\n\t\ttry {\n\t\t\tstaff = getStaffByCurrentUser();\n\t\t\tif (staff == null \|\| staff.getShop() == null \|\| staff.getStaffType() == null) {\n\t\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_PERMISSION, \"\"));\n\t\t\t\treturn JSON;\n\t\t\t}\n\t\t\tList<PromotionStaffVO> lstTmp = promotionProgramMgr.getListStaffInPromotion(promotionId, lstId);\n\t\t\tif (lstTmp != null && lstTmp.size() > 0) {\n\t\t\t\tString msg = \"\";\n\t\t\t\tfor (PromotionStaffVO vo : lstTmp) {\n\t\t\t\t\tmsg += (\", \" + vo.getCode());\n\t\t\t\t}\n\t\t\t\tmsg = msg.replaceFirst(\", \", \"\");\n\t\t\t\tresult.put(\"errMsg\", Configuration.getResourceString(ConstantManager.VI_LANGUAGE, \"catalog.promotion.customer.map.exists\", msg));\n\t\t\t\treturn JSON;\n\t\t\t}\n\t\t\t//\t\t\tlstTmp = null;\n\t\t\tPromotionProgram pro = promotionProgramMgr.getPromotionProgramById(promotionId);\n\t\t\tif (pro == null) {\n\t\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_EXIST_DB, \"CTKM\"));\n\t\t\t\treturn JSON;\n\t\t\t}\n\t\t\tif (!ActiveType.WAITING.equals(pro.getStatus()) && !ActiveType.RUNNING.equals(pro.getStatus())) {\n\t\t\t\tresult.put(\"errMsg\", Configuration.getResourceString(ConstantManager.VI_LANGUAGE, \"promotion.program.incorrect\"));\n\t\t\t\treturn JSON;\n\t\t\t}\n\t\t\tList<PromotionStaffMap> lst = new ArrayList<PromotionStaffMap>();\n\t\t\tPromotionShopMap psm = null;\n\t\t\tPromotionStaffMap pstm;\n\t\t\tStaff st;\n\t\t\tDate now = DateUtil.now();\n\t\t\tLong shIdT = null;\n\t\t\tfor (int i = 0, sz = lstId.size(); i < sz; i++) {\n\t\t\t\tst = staffMgr.getStaffById(lstId.get(i));\n\t\t\t\tif (staff == null) {\n\t\t\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_EXIST_DB, \"NVBH\"));\n\t\t\t\t\treturn JSON;\n\t\t\t\t}\n\t\t\t\tif (!ActiveType.RUNNING.equals(st.getStatus())) {\n\t\t\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_STATUS_INACTIVE, st.getStaffCode()));\n\t\t\t\t\treturn JSON;\n\t\t\t\t}\n\t\t\t\tif (!StaffSpecificType.STAFF.getValue().equals(st.getStaffType().getSpecificType().getValue()) && !StaffSpecificType.SUPERVISOR.getValue().equals(st.getStaffType().getSpecificType().getValue())) {\n\t\t\t\t\tresult.put(\"errMsg\", Configuration.getResourceString(ConstantManager.VI_LANGUAGE, \"catalog.not.nvbh\", st.getStaffCode()));\n\t\t\t\t\treturn JSON;\n\t\t\t\t}\n\t\t\t\tif (psm == null \|\| !st.getShop().getId().equals(shIdT)) {\n\t\t\t\t\tpsm = promotionProgramMgr.getPromotionParentShopMap(promotionId, st.getShop().getId(), ActiveType.RUNNING.getValue());\n\t\t\t\t}\n\t\t\t\tif (psm == null \|\| !ActiveType.RUNNING.equals(psm.getStatus())) {\n\t\t\t\t\tresult.put(\"errMsg\", Configuration.getResourceString(ConstantManager.VI_LANGUAGE, \"promotion.shop.not.exist\"));\n\t\t\t\t\treturn JSON;\n\t\t\t\t}\n\t\t\t\tshIdT = st.getShop().getId();\n\t\t\t\tList<PromotionStaffMap> listPromotionStaffMap = promotionProgramMgr.getListPromotionStaffMapAddPromotionStaff(psm.getId(), st.getId(), shIdT);\n\t\t\t\tif (listPromotionStaffMap != null && listPromotionStaffMap.size() > 0) {\n\t\t\t\t\tfor (PromotionStaffMap staffMap : listPromotionStaffMap) {\n\t\t\t\t\t\tString staffCode = staffMap.getStaff().getStaffCode();\n\t\t\t\t\t\tStringBuilder sb = new StringBuilder(\"Nhân viên có mã \");\n\t\t\t\t\t\tsb.append(staffCode);\n\t\t\t\t\t\tsb.append(\" có \");\n\t\t\t\t\t\tif (lstQtt.get(i) != null && staffMap.getQuantityReceivedTotal() != null && lstQtt.get(i).compareTo(staffMap.getQuantityReceivedTotal()) < 0) {\n\t\t\t\t\t\t\tsb.append(\"số suất phân bổ không được bé hơn số suất đã nhận.\");\n\t\t\t\t\t\t\tresult.put(\"errMsg\", sb.toString());\n\t\t\t\t\t\t\treturn JSON;\n\t\t\t\t\t\t} else if (lstAmt.get(i) != null && staffMap.getAmountReceivedTotal() != null && lstAmt.get(i).compareTo(staffMap.getAmountReceivedTotal()) < 0) {\n\t\t\t\t\t\t\tsb.append(\"số tiền phân bổ không được bé hơn số tiền đã nhận.\");\n\t\t\t\t\t\t\tresult.put(\"errMsg\", sb.toString());\n\t\t\t\t\t\t\treturn JSON;\n\t\t\t\t\t\t} else if (lstNum.get(i) != null && staffMap.getNumReceivedTotal() != null && lstNum.get(i).compareTo(staffMap.getNumReceivedTotal()) < 0) {\n\t\t\t\t\t\t\tsb.append(\"số lượng phân bổ không được bé hơn số lượng đã nhận.\");\n\t\t\t\t\t\t\tresult.put(\"errMsg\", sb.toString());\n\t\t\t\t\t\t\treturn JSON;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif (lstQtt.get(i) > ZEZO) {\n\t\t\t\t\t\t\tstaffMap.setQuantityMax(lstQtt.get(i));\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif (BigDecimal.ZERO.compareTo(lstAmt.get(i)) < 0) {\n\t\t\t\t\t\t\tstaffMap.setAmountMax(lstAmt.get(i));\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif (BigDecimal.ZERO.compareTo(lstNum.get(i)) < 0) {\n\t\t\t\t\t\t\tstaffMap.setNumMax(lstNum.get(i));\n\t\t\t\t\t\t}\n\t\t\t\t\t\tlst.add(staffMap);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tpstm = new PromotionStaffMap();\n\t\t\t\t\tpstm.setPromotionShopMap(psm);\n\t\t\t\t\tpstm.setShop(st.getShop());\n\t\t\t\t\tpstm.setStaff(st);\n\t\t\t\t\tif (lstQtt.get(i) > ZEZO) {\n\t\t\t\t\t\tpstm.setQuantityMax(lstQtt.get(i));\n\t\t\t\t\t}\n\t\t\t\t\tif (BigDecimal.ZERO.compareTo(lstAmt.get(i)) < 0) {\n\t\t\t\t\t\tpstm.setAmountMax(lstAmt.get(i));\n\t\t\t\t\t}\n\t\t\t\t\tif (BigDecimal.ZERO.compareTo(lstNum.get(i)) < 0) {\n\t\t\t\t\t\tpstm.setNumMax(lstNum.get(i));\n\t\t\t\t\t}\n\t\t\t\t\tpstm.setStatus(ActiveType.RUNNING);\n\t\t\t\t\tpstm.setCreateDate(now);\n\t\t\t\t\tpstm.setCreateUser(staff.getStaffCode());\n\n\t\t\t\t\tlst.add(pstm);\n\t\t\t\t}\n\t\t\t}\n\t\t\tpromotionProgramMgr.createListPromotionStaffMap(lst, getLogInfoVO());\n\t\t\tresult.put(ERROR, false);\n\t\t} catch (Exception ex) {\n\t\t\tLogUtility.logErrorStandard(ex, R.getResource(\"web.log.message.error\", \"vnm.web.action.program.PromotionCatalogAction.addPromotionStaff\"), createLogErrorStandard(actionStartTime));\n\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_SYSTEM));\n\t\t\tresult.put(ERROR, true);\n\t\t}\n\t\treturn JSON;\n\t}", "@Override\n\tpublic int addNewEmployee(String firstName, String lastName, String email, String designation, String location,\n\t\t\tint salary) {\n\t\treturn template.update(\n\t\t\t\t\"insert into employee(fname, lname, email, desig, location, salary) values(?, ?, ?, ?, ?, ?)\",\n\t\t\t\tfirstName, lastName, email, designation, location, salary);\n\t}", "public void editDataInRelation(String alias, ArrayList<String> nameForManipulator, ArrayList<Integer> nameIndicator, ArrayList<Integer> classST,\n ArrayList<Integer> superST, ArrayList<String> classString, ArrayList<String> superSting, boolean exist, int id) {\n\n Relation relation = dataModel.getRelation(id);\n dataModel.addDataToRelation(relation, alias, nameForManipulator, nameIndicator, classST, superST, classString, superSting, exist);\n }", "static boolean registerStaff(String name, String username, String password) {\r\n if (!StudentSystem.accounts.containsKey(username)) {\r\n Staff staff = new Staff();\r\n staff.setName(name);\r\n staff.setUsername(username);\r\n staff.setPassword(password);\r\n staff.setAccountType(3);\r\n\r\n accounts.put(username, staff);\r\n return true;\r\n }\r\n return false;\r\n }", "public List<StaffPojo> staffSearchByName(String sname) {\n\t\treturn staffDao.staffSearchByName(sname);\n\t}", "@Override\r\n\tpublic Employe addEmploye(Employe e, Long codeSup) {\n\t\treturn dao.addEmploye(e, codeSup);\r\n\t}", "public int createNewStaff(String name, int branchId) {\n clickOnBtn(ActionsEnum.Create.name());\n fillCreateOrEditForm(name, branchId);\n clickOnBtn(ActionsEnum.Save.name());\n waitForElementInvisibility(xpathBtn.replace(\"btn*\", ActionsEnum.Save.name()));\n int id = getMaxId();\n logger.info(\"# Newly Created Staff's Id: \" + id);\n return id;\n }", "private void addUser(\n People.Builder builderForValue) {\n ensureUserIsMutable();\n user_.add(builderForValue.build());\n }", "@FXML\r\n\tprivate void saveEmployee(ActionEvent event) {\r\n\t\tif (validateFields()) {\r\n\t\t\tEmployee e;\r\n\t\t\tif (newEmployee) {\r\n\t\t\t\te = new Employee();\r\n\t\t\t\tlistaStaff.getItems().add(e);\r\n\t\t\t} else {\r\n\t\t\t\te = listaStaff.getSelectionModel().getSelectedItem();\r\n\t\t\t}\r\n\t\t\te.setUsername(txUsuario.getText());\r\n\t\t\te.setPassword(txPassword.getText());\r\n\t\t\tif (checkAdmin.isSelected())\r\n\t\t\t\te.setIsAdmin(1);\r\n\t\t\telse\r\n\t\t\t\te.setIsAdmin(0);\r\n\t\t\tif (checkTPV.isSelected())\r\n\t\t\t\te.setTpvPrivilege(1);\r\n\t\t\telse\r\n\t\t\t\te.setTpvPrivilege(0);\r\n\t\t\tif (newEmployee) {\r\n\t\t\t\tservice.saveEmployee(e);\r\n\t\t\t\tnewEmployee = false;\r\n\t\t\t} else\r\n\t\t\t\tservice.updateEmployee(e);\r\n\t\t\tbtGuardar.setDisable(true);\r\n\t\t\tbtEditar.setDisable(false);\r\n\t\t\tconmuteFields();\r\n\t\t\tupdateList();\r\n\t\t}\r\n\t}", "public void update() {\r\n\t\tCampLeaseDAO leaseDao = (CampLeaseDAO) getApplicationContext().getBean(\"leaseDaoBean\", CampLeaseDAO.class);\r\n\t\tleaseDao.update(this); // routine now uses leaseDao to get CampLease class\r\n\t}", "private void updateList() {\r\n\t\tlistaStaff.setItems(FXCollections.observableArrayList(service\r\n\t\t\t\t.getStaff()));\r\n\t}", "@Override\n\tpublic void updateEmployee() {\n\n\t}", "public Staff() {\n this(DSL.name(\"STAFF\"), null);\n }", "public StaffPojo staffSearchById(String sid) {\n\t\treturn staffDao.staffSearchById(sid);\n\t}", "@Override\n\tpublic void updateEmployee(int empid, int empNewSalary) {\n\t\t\n\t}", "public boolean isSetStaffId() {\n return this.staffId != null;\n }", "public void UserServiceTest_Edit()\r\n {\r\n User user = new User();\r\n user.setId(\"1234\");\r\n user.setName(\"ABCEdited\");\r\n user.setPassword(\"123edited\");\r\n ArrayList<Role> roles = new ArrayList<>();\r\n roles.add(new Role(\"statio manager\"));\r\n user.setRoles(roles);\r\n \r\n UserService service = new UserService(); \r\n try {\r\n service.updateUser(user);\r\n } catch (SQLException e) {\r\n fail();\r\n System.out.println(e);\r\n }catch (NotFoundException e) {\r\n fail();\r\n System.out.println(e);\r\n }\r\n }", "public void searchStaff(String searchTxt) {\n assertAndType(xpathSearchTF, searchTxt);\n clickOnBtn(SEARCH_A_STAFF);\n logger.info(\"# Performed staff search for '\" + searchTxt + \"'\");\n }", "public interface StaffDAO {\n public boolean save(Staff staff);\n\n public boolean update(Staff staff);\n\n public boolean delete(Staff staff);\n\n public Staff getStaff(Long staffId);\n\n public Staff getStaff(String query);\n\n public List<Staff> findAllStaff();\n\n public List<Staff> findAllStaff(String query);\n}", "Pair<String, String> addManager() {\n if (getManagerRefId() != null && !getManagerRefId().equals(\"\")) {\n Actor foundManager = ActorDao.getActorByRefId(getManagerRefId());\n if (foundManager != null) {\n Actor currentActor = ActorDao.getActorByRefId(getRefId());\n currentActor.manager = foundManager;\n currentActor.save();\n } else {\n return Pair.of(getRefId(), getManagerRefId());\n }\n }\n return null;\n }", "@Override\n public void addStudent(String firstName, String lastName, int age, Set<Course> courses) {}", "@Override\n public boolean allottingCustomerToFnManager(SalesCustomerBean slcust, long id) {\n long custid = id;\n String department = \"Finance\";\n String manager = slcust.getFnmanager();\n\n return in_salescustdao.allottingCustomerToFnManager(custid, department, manager);\n }", "@Override\r\n\tpublic Staff findOne(Long id) {\n\t\treturn staffDao.findOne(id);\r\n\t}", "void update(int id, int teacherid, int noteid );", "@Override\n public boolean equals(Object object) {\n if (!(object instanceof Staff)) {\n return false;\n }\n Staff other = (Staff) object;\n if ((this.ID == null && other.ID != null) \|\| (this.ID != null && !this.ID.equals(other.ID))) {\n return false;\n }\n return true;\n }", "@PostMapping(\"/addCourseByStaff/{staffId}\")\n\tpublic String addCourse(@RequestHeader(\"Authorization\") String token, @Valid @PathVariable(\"staffId\") int sId,\n\t\t\t@RequestBody Course c) {\n\t\tString role = jwtUserDetailsService.getRoleFromToken(token);\n\t\tif (courseService.viewCourse(c.getCourseId()) == null) {\n\t\t\tif (role.contentEquals(\"STAFF\")) {\n\t\t\t\tuniversityService.addCourse(c, sId);\n\t\t\t\treturn \"Course Details saved Succesfully\";\n\t\t\t}\n\t\t\telse {\n\t\t\t\treturn \"Invalid role!\";\n\t\t\t}\n\t\t}\n\t\treturn \"Duplicate Course ID\";\n\t}", "@Test\n public void testStaffFactoryRemove() {\n StaffController staffController = staffFactory.getStaffController();\n staffController.removeStaff(STAFF_NAME, 1);\n assertEquals(0, staffController.getStaffList().size());\n }", "@FXML\n private void onAddStaff(ActionEvent event){\n\n }" ]	[ "0.71820325", "0.69719076", "0.66223705", "0.6549942", "0.63380927", "0.6330332", "0.62589896", "0.62134445", "0.617044", "0.61303484", "0.6104946", "0.60441273", "0.6029116", "0.59971404", "0.59913063", "0.59682906", "0.594019", "0.5932808", "0.59303886", "0.592469", "0.59165096", "0.5848157", "0.5832726", "0.5824611", "0.58002186", "0.57417876", "0.57313746", "0.5714146", "0.5655521", "0.56005454", "0.5596413", "0.55655706", "0.5541596", "0.5498921", "0.5490313", "0.54734254", "0.5452452", "0.54368186", "0.541784", "0.54168147", "0.5405737", "0.53539217", "0.5348544", "0.53380823", "0.53376704", "0.5334488", "0.5330357", "0.5327809", "0.531904", "0.53024143", "0.52997804", "0.5296715", "0.52741736", "0.52727973", "0.52677506", "0.5250892", "0.52426827", "0.5239315", "0.5229758", "0.52109385", "0.5202875", "0.51865846", "0.5174091", "0.51609707", "0.51584214", "0.51482207", "0.5129692", "0.5128346", "0.5117195", "0.51043314", "0.51001525", "0.5091957", "0.50870264", "0.50867647", "0.5085449", "0.5082207", "0.50763583", "0.5073371", "0.50605434", "0.50584346", "0.5055324", "0.50521874", "0.5049653", "0.5039922", "0.5035157", "0.5031543", "0.5026537", "0.5022179", "0.5019372", "0.50182396", "0.50163364", "0.5013047", "0.50123024", "0.5011858", "0.50105035", "0.5002124", "0.49997988", "0.49979115", "0.49953088", "0.49883962" ]	0.6286123	6
Method to add newly or update on existing staff.	@PostMapping("/addStaff") public Staff addStaff(@RequestBody Staff staff) { return staffService.addStaff(staff); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public boolean updateStaff(Staff staff) {\n\t\treturn false;\n\t}", "public Boolean addStaff(StaffPojo staff) {\n\t\tLoginPojo login = new LoginPojo();\n\t\tString sid = staffDao.addStaff(staff);\n\t\tif(sid.equals(\"false\"))\n\t\t\treturn false;\n\t\telse\n\t\t{\n\t\t\tlogin.setUserName(staff.getStaffUserName());\n\t\t\tlogin.setPassword(staff.getStaffPassword());\n\t\t\tlogin.setUserId(sid);\n\t\t\tlogin.setUserCategory(\"S\");\n\t\t\tlogin.setRoleId(3);\n\t\t\tif(loginDao.addUser(login))\n\t\t\t\tSystem.out.println(\"user not added\");\n\t\t\telse \n\t\t\t\tSystem.out.println(\"user added\");\n\t\t\treturn true;\n\t\t}\n\t}", "public boolean staffUpdate(StaffPojo staff) {\n\t\treturn staffDao.staffUpdate(staff);\n\t}", "@Override\n\tpublic int updateStaff(int staff_id) throws Exception {\n\t\treturn dao.update(staff_id);\n\t}", "public void setStaffID() {\r\n\t\t\t staffID = IDFactory.getID(\"ST\");\r\n\t\t}", "@PutMapping(\"/updateStaff\")\n\tpublic Staff updateStaff(@RequestBody Staff staff) {\n\t\treturn staffService.updateStaff(staff);\n\t}", "@PutMapping\n\tpublic String updateStaff(@Valid @RequestBody UniversityStaffMember staff) {\n\t\tif (universityService.updateStaff(staff))\n\t\t\treturn \"Staff data updated\";\n\t\telse\n\t\t\tthrow new DataNotFoundException(\"Update\", \"Staff with id \" + staff.getStaffId() + \" not found\");\n\t}", "public void uptadeDB(){\n //mainDatabase.modifyStaff(this);\n }", "public void addStaff(String name, String dob, String email, String number, String address, String password) throws SQLException { //code for add-operation \n st.executeUpdate(\"INSERT INTO IOTBAY.STAFF \" + \"VALUES ('\" \n + name + \"', '\" + dob + \"', '\" \n + email + \"', '\" + number+ \"', '\" \n + address + \"', '\" + password + \"')\");\n\n }", "public void addStaffID(String id, String username) {\n profile.addStaffID(id, username);\n }", "@PostMapping\n\tpublic String addStaff(@Valid @RequestBody UniversityStaffMember staff) {\n\t\t//System.out.println(staff);\n\t\tif (universityService.viewStaff(staff.getStaffId()) == null) \n\t\t{\n\t\t\tuniversityService.addStaff(staff);\n\t\t\treturn \"Data saved Succesfully\";\n\t\t}\n\t\telse\n\t\tthrow new DuplicateDataException(\"Duplicate Staff Id\");\n\t}", "public void registerStaffToShop(Staff staff) throws RosterException {\n\t\t_staffList.registerStaff(staff); //register into the staff list.\n\t}", "public void setStaff_name(String staff_name) {\n this.staff_name = staff_name;\n }", "public void onAssignStaffToRequest(CustomerRequest request, String staff);", "@Override\r\n\tpublic Staff save(Staff entity) {\n\t\treturn staffDao.save(entity);\r\n\t}", "public boolean updateStaffStatus(int Id,String status);", "@Override\n\tpublic int updateByPrimaryKey(Staff record) {\n\t\treturn staffMapper.updateByPrimaryKey(record);\n\t}", "public void addPerson(Person thePerson) {\r\n staff.add(thePerson);\r\n }", "public void addStaff(String json){\n\t\tthis.addStaff(gs.fromJson(json, Staff.class));\r\n\t}", "@POST\r\n\t@Produces(\"application/JSON\")\r\n\t@Consumes(\"application/JSON\")\r\n\tpublic ZooStaff createStaff(ZooStaff staff) {\r\n\t\tservice.registerStaff(staff);\r\n\t\treturn staff;\r\n\t}", "public ID getStaffID() {\r\n\t\t\t\r\n\t\t\treturn staffID;\r\n\t\t}", "public void setStaffID(int staffID) {\r\n\t\tthis.staffID = staffID;\r\n\t}", "@Override\n public com.ext.portlet.model.StaffMember createStaffMember(long id) {\n return _staffMemberLocalService.createStaffMember(id);\n }", "@Test\n public void testStaffFactoryCreate() {\n StaffController staffController = staffFactory.getStaffController();\n staffController.addStaff(STAFF_NAME, STAFF_GENDER, STAFf_ROLE);\n assertEquals(1, staffController.getStaffList().size());\n }", "@Override\n\tpublic int updateByPrimaryKeySelective(Staff record) {\n\t\treturn staffMapper.updateByPrimaryKeySelective(record);\n\t}", "@Test\n public void testStaffFactoryGetStaff() {\n StaffController staffController = staffFactory.getStaffController();\n staffController.addStaff(STAFF_NAME, STAFF_GENDER, STAFf_ROLE);\n assertEquals(STAFF_NAME, staffController.getStaff(1).getName());\n }", "@Override\n\tpublic int insert(Staff record) {\n\t\treturn staffMapper.insert(record);\n\t}", "public int getStaffID() {\r\n\t\treturn staffID;\r\n\t}", "@Override\n public com.ext.portlet.model.StaffMember addStaffMember(\n com.ext.portlet.model.StaffMember staffMember)\n throws com.liferay.portal.kernel.exception.SystemException {\n return _staffMemberLocalService.addStaffMember(staffMember);\n }", "public static void updateStaffInformation(int staffID, String name, Date dob, String gender, String jobTitle,\n String professionalTitle, String department, String phone,\n String address) throws SQLException {\n\n try (Connection conn = ConnectionFactory.getConnection()) {\n\n PreparedStatement get = conn.prepareStatement(GET_STAFF_INFORMATION);\n get.setInt(1, staffID);\n ResultSet staff = get.executeQuery();\n\n if (staff.next()) {\n\n PreparedStatement st = conn.prepareStatement(UPDATE_STAFF_INFORMATION);\n st.setString(1, (name != null) ? name : staff.getString(\"Name\"));\n st.setDate( 2, (dob != null) ? dob : staff.getDate( \"DOB\"));\n st.setString(3, (gender != null) ? gender : staff.getString(\"Gender\"));\n st.setString(4, (jobTitle != null) ? jobTitle : staff.getString(\"JobTitle\"));\n st.setString(5, (professionalTitle != null) ? professionalTitle : staff.getString(\"ProfessionalTitle\"));\n st.setString(6, (department != null) ? department : staff.getString(\"Department\"));\n st.setString(7, (phone != null) ? phone : staff.getString(\"PhoneNumber\"));\n st.setString(8, (address != null) ? address : staff.getString(\"Address\"));\n st.setInt( 9, staffID);\n st.executeUpdate();\n\n }\n else {\n\n throw new SQLException(String.format(\"No staff member with ID %d.\", staffID));\n\n }\n\n }\n\n }", "private void initStaff(){\n //wake movie staff, maintains ArrayList MovieModel and MovieItem buffers\n mMovieStaff = new MovieStaff(this);\n\n //wake refresh staff, maintains HashMap RefreshItem buffers\n mRefreshStaff = new RefreshStaff(this);\n mRefreshStaff.setRefreshMap(mRefreshValet.getRefreshMap());\n\n //wake house keeper staff, maintains HashMap MyHouseKeeper buffer\n mKeeperStaff = new HouseKeeperStaff(this);\n\n //wake maid staff, maintains HashMap MyMaid buffer\n mMaidStaff = new MaidStaff(this);\n }", "public StaffPath staff() {\n if (_staff == null)\n _staff = new StaffPath(this, Keys.PAYMENT_P2007_03__PAYMENT_P2007_03_STAFF_ID_FKEY, null);\n\n return _staff;\n }", "public interface StaffDao {\n public List<Staff> findStaff();\n\n public List<Staff> findAll();\n\n public void add(Staff staff);\n\n public void delete(String no);\n\n public void update(Staff staff);\n}", "public interface IStaff {\n List<Staff> getStaffs();\n boolean addStaff(Staff staff);\n boolean updateStaff(Staff staff);\n boolean deleteStaff(List<Long> id);\n Staff getStaff(Long id);\n}", "public void add_admin(String admin_id, String admin_name, String admin_address, String admin_designation,\n\t\t\t double salary, String contact, boolean status_vacancy, String password,String admin_project_key)\n {\n\t\t\n \tadm_list.insert(new Admin(admin_id,admin_name,admin_address,admin_designation, salary,contact,status_vacancy,password,admin_project_key));\n \twrite_adm_file();\n }", "public void updateStaffDetails(String action, String name, String branch) {\n fillCreateOrEditForm(name, branch);\n clickOnBtn(action);\n waitForElementInvisibility(xpathBtn.replace(\"btn\", action));\n logger.info(\"# Updated staff details\");\n }", "private void createBtnActionPerformed(java.awt.event.ActionEvent evt) {\n\n staff.setName(regName.getText());\n staff.setID(regID.getText());\n staff.setPassword(regPwd.getText());\n staff.setPosition(regPos.getSelectedItem().toString());\n staff.setGender(regGender.getSelectedItem().toString());\n staff.setEmail(regEmail.getText());\n staff.setPhoneNo(regPhone.getText());\n staff.addStaff();\n if (staff.getPosition().equals(\"Vet\")) {\n Vet vet = new Vet();\n vet.setExpertise(regExp.getSelectedItem().toString());\n vet.setExpertise_2(regExp2.getSelectedItem().toString());\n vet.addExpertise(staff.getID());\n }\n JOptionPane.showMessageDialog(null, \"User added to database\");\n updateJTable();\n }", "public void setClStaffId(String clStaffId) {\r\n\t\tthis.clStaffId = clStaffId;\r\n\t}", "public void addAdmin(Admin admin);", "@Override\n public void changeContact(String id,String pass,String newno) throws IOException\n {\n \tNode<Admin> pos = adm_list.getFirst();\n \twhile(pos!=null)\n \t{\n \t\tif(pos.getData().employee_id.equals(id) && pos.getData().password.equals(pass))\n \t\t{\n \t\t\tpos.getData().contact = newno;\n \t\t}\n \t\tpos = pos.getNext();\n \t}\n \twrite_adm_file();\n }", "@Override\n public void edit(){\n Integer Pointer=0;\n FileWriter editDetails = null;\n ArrayList<String> lineKeeper = saveText();\n\n /* Search into the list to find the Username, if it founds it, changes the\n * old information with the new information.\n * Search/\n if(lineKeeper.contains(getUsername())){\n Pointer=lineKeeper.indexOf(getUsername());\n\n //Write the new information\n lineKeeper.set(Pointer+1, getPassword());\n lineKeeper.set(Pointer+2, getFirstname());\n lineKeeper.set(Pointer+3, getLastname());\n lineKeeper.set(Pointer+4, DMY.format(getDoB()));\n lineKeeper.set(Pointer+5, getContactNumber());\n lineKeeper.set(Pointer+6, getEmail());\n lineKeeper.set(Pointer+7, String.valueOf(getSalary()));\n lineKeeper.set(Pointer+8, getPositionStatus());\n Pointer=Pointer+9;\n homeAddress.edit(lineKeeper,Pointer);\n }//end if\n\n try{\n editDetails= new FileWriter(\"employees.txt\",false);\n for( int i=0;i<lineKeeper.size();i++){\n editDetails.append(lineKeeper.get(i));\n editDetails.append(System.getProperty(\"line.separator\"));\n }//end for\n editDetails.close();\n editDetails = null;\n }//end try\n catch (IOException ioe) {}//end catch\n }", "public void hireFullTimeStaff (String staffName, String joiningDate, String qualification, String appointedBy) {\n if (joined == true) {\n System.out.println(\"The name of staff is \"+staffName+\"\"+\"and the joining date is \"+joiningDate);\n }else{\n this.staffName = staffName;\n this.joiningDate = joiningDate;\n this.qualification = qualification;\n this.appointedBy = appointedBy;\n joined = true;\n }\n }", "public String getStaff_name() {\n return staff_name;\n }", "@Override\n\tpublic int insertSelective(Staff record) {\n\t\treturn staffMapper.insertSelective(record);\n\t}", "public void saveOrUpdateProfile(){\n try {\n \n if(PersonalDataController.getInstance().existRegistry(username)){\n PersonalDataController.getInstance().update(username, staff_name, staff_surname, \n Integer.parseInt(id_type), \n id_number, imagePic, phone_number, mobile_number, email, birthdate, \n Integer.parseInt(gender), birthdate);\n }else{\n PersonalDataController.getInstance().create(username, staff_name, staff_surname, \n Integer.parseInt(id_type), \n id_number, imagePic, phone_number, mobile_number, email, birthdate, \n Integer.parseInt(gender));\n }\n } catch (GB_Exception ex) {\n LOG.error(ex);\n GBMessage.putMessage(GBEnvironment.getInstance().getError(32), null);\n }\n GBMessage.putMessage(GBEnvironment.getInstance().getError(33), null);\n }", "public boolean createPersonalDetails(Integer staffID, String surname, String name, Date dob, String address, String town, String county,\n String postCode, String telNo, String mobileNo, String emergencyContact, String emergencyContactNo){\n\n\n hrDB.addPDRecord(staffID, surname, name, dob, address, town, county,\n postCode, telNo, mobileNo, emergencyContact, emergencyContactNo);\n return true;\n\n\n }", "public void updateStaff(String name, String dob, String email, String number, String address, String password) throws SQLException {\n st.executeUpdate(\"UPDATE IOTBAY.STAFF SET \"\n + \"NAME ='\" + name \n + \"DATEOFBIRTH ='\" + dob \n + \"PHONENUMBER ='\" + number \n + \"ADDRESS ='\" + address \n + \"PASSWORD ='\" + password \n + \"' WHERE EMAIL='\" + email + \"'\" );\n\n }", "public Staff() {\n\t\tthis.staffId = null;\n\t\tthis.staffPass = null;\n\t}", "public Staff(String username, String password, String firstName, \n String lastName, int id, String position, String department) \n {\n super(username, password, firstName, lastName, id);\n this.position = position;\n this.department = department;\n }", "@Override\n public com.ext.portlet.model.StaffMember updateStaffMember(\n com.ext.portlet.model.StaffMember staffMember)\n throws com.liferay.portal.kernel.exception.SystemException {\n return _staffMemberLocalService.updateStaffMember(staffMember);\n }", "@Override\r\n public Staff getStaff ()\r\n {\r\n if (super.getStaff() == null) {\r\n if (!getNotes().isEmpty()) {\r\n Note note = (Note) getNotes().get(0);\r\n setStaff(note.getStaff());\r\n }\r\n }\r\n\r\n return super.getStaff();\r\n }", "public List<Staff> findAllStaffMembers(){\n\t\treturn staffRepository.findAll();\n\t}", "public Staff(String staffId, String staffPass) {\n\t\tthis.staffId = staffId;\n\t\tthis.staffPass = staffPass;\n\t}", "public Staff manageStaffList(String givenName, String familyName) throws RosterException {\n\t\treturn _staffList.getStaff(givenName + \" \" + familyName);\n\t}", "public StaffMember(String firstname, String surname, int staffID, DepartmentStaff deptStaff, StaffType roleStaff) {\n this.firstname = firstname;\n this.surname = surname;\n this.staffID = staffID;\n this.deptStaff = deptStaff;\n this.roleStaff = roleStaff;\n }", "public void update(){\n\t\tif ( crm.addedNewStudent()){\n\t\t\tList<Student> students = crm.getStudents();\n\t\t\tStudent newest = students.get(students.size()-1);\n\t\t\tint ID = newest.ID();\n\t\t\tString name = newest.name();\n\t\t\tint GradYear = newest.GradYear();\n\t\t\tsv.addStudent(ID, name, GradYear);\n\t\t}\n\t}", "void update(Employee nurse);", "public interface StaffManager extends UniversalManager {\r\n\t\r\n\tClassTeacher getTeacherByClassandSubjectId(long staffId,long classId,long subjectId,String staffActiveStatus);\r\n\tClassTeacher getStudyClassSubject(long classId, long staffId);\r\n\tList<Student> getStudentByClassId(long classId);\r\n\tStudent getStudentById(long studentId);\r\n\tList<Leave> getLeavesListByAccountId(long accountId,String leaveStatus,long customerId,long academicYearId);\r\n\tList getAllCalendarEventsByCustomerId(long customerId);\r\n\tList getEventInvitedUserListByEventId(String eventId);\r\n\tList getEventsByDate(String eventDate);\r\n\tList<ClassTeacher> getTeacherSubjectsByIdAndAcademicYear(long staffId,long academicYearId,long custId);\r\n\tList<ViewStudentLeaveDetails> getAllStudentLeavesByStatusAndRoleNameAndSupervisorId(long customerId,String leaveStatus,String roleName,long supervisorId,long adademicYearId);\r\n\tList getTeacherSubjectsByStaffAndClassId(long accountId,long classId,long academicYearId);\r\n\tStudent getStudentByAcountId(long accountId);\r\n\tList<ViewStudentPersonAccountDetails> getStudentByClassIdAndStaffId(long classId,long customerId,long academicYearId,String status);\r\n\tStudent getStudentsByAccountId(long stuAccountId);\r\n\tList<ViewStudentPersonAccountDetails> getViewStudentPersonAccountDetailsByStudyClassIdandStatus(long classId,String status,String academicYearId);\r\n\tList getClassEventListByEventId(String eventId);\r\n\tViewStudentLeaveDetails getViewStudentLeaveDetailsByLeaveId(long leaveid,long customerId);\r\n\tRole getRoleDetailsByRoleName(String roleName);\r\n\tList getAllStudentStatus(String studentId);\r\n\tList getStudyClassSubjectByClassid(long classId);\r\n\tList getStudySubjectsId(String subjectId,String classId);\r\n\tList getTeacherSubjects(String subjectId);\r\n\tvoid removeRegistrationStudentEvent(String accountId,String eventId,String eventAcceptedStatus);\r\n\tList getStudentsByIds(String studentIds);\r\n\tList getNotInvitedStudents(String accountIds);\r\n\tList getAllLeavesListByAccountId(long accountId,long customerId);\r\n\tClassTeacher getClassTeacherByStaffIdandAcademicYear(long staffId,long academicYear,long custId);\r\n\tViewStaffPersonAccountDetails getFindStaffByIdOrName(String username, String firstName,long customerId);\r\n\tList getMyMessagesByReceiverAccountIdAndIsParent(String receiverAccountId, long customerId,String isParent);\r\n\tList<ViewClassExamDetails> getClassTeacherExamSchedules(long classId,long academicYear);\r\n\tString getClassIdByNameAndSection(String className,String section,long custId,long academicYear);\r\n\tList getFindStudentsListByIdOrName(String rollNumber,String firstName,long customerId,long academicYearId,long studyClassId);\r\n\tList getAllMessagesByMessageStatus(String messageStatus,long customreId,String academicYearId,Date messageDate);\r\n\tString getExamTypeIdByExamType(String examType,long custId,String academicYear);\r\n\tString getSubjectIdBySubjectName(String subjectName,long custId,long academicYear);\r\n\tExamSchedules getExamSchedule(String studyClassId,String examTypeId,String subjectId,long academicYear,long custId);\r\n\tList getEventAcceptedEventsByEventIdAndAccountId(String eventIds,long accountId,String eventAccepted);\r\n\tList getAllCalendarEventsByEventIds(String eventsIds,long customerId);\r\n\tList getClassEventListByClassId(long classId);\r\n\tList getTeacherExamSchedulesByClassIdandSubjectId(long classId,long subjectId,long academicYear);\r\n\tList getFindStaffListByIdOrName(String username,String firstName,long customerId);\r\n\tViewStaffPersonAccountDetails getStaffBirthDaysByAccountId(long staffId,long custId,long staffAccountId);\r\n\tList<ViewStaffPersonAccountDetails> getAllStaffBirthDaysList(String date1,long custId);\r\n\tList<ViewStudentPersonAccountDetails> getAllStudentBirthDaysList(String date1,long custId);\r\n\tList getMyMessagesBySenderAccountIdAndIsParent(String receiverAccountId, long customerId,String isParent);\r\n\tList getstudentMarksListByExamScheduleId(long scheduleId);\r\n\tList<ViewStudentPersonAccountDetails> getViewStudentPersonAccountDetailsByStudyClassIdandAccount(long classId,String status,long accountId,String academicYearId);\r\n\tdouble getPassStudentsCount(long scheduleId,double minMarks);\r\n\tdouble getFailStudentsCount(long scheduleId,double minMarks);\r\n\tSet getExamTypeIdsByClassIdandAcademicYear(long classId,long academicYear);\r\n\tList getExamTypesByExamTypeIds(String typeIds,long academicYear);\r\n\tList getClassExamSchedulesByExamTypeId(long examTypeId,long classId,long custId,long academicYear);\r\n\tSchoolHolidays checkSchoolHolidayBySelectedDate(String selectedDate,long customerId,long academicYearId);\r\n\tList<KBank> getKBankBySearchKewordsKBankTypeId(String searchKeywords,long kBankTypeId,long custId);\r\n\tScrapMessage saveScrapMessage(ScrapMessage scrapMessage);\r\n\tList<ScrapMessage> getAllScrapMessagesListBySenderAccId(long senderAccountId,String status,String replyStatus,long customerId,String academicYearId);\r\n\tList<ScrapMessage> getAllScrapMessagesListByReceiverAccId(long receiverrAccountId,String status,String replyStatus,long customerId,String academicYearId,String messageType);\r\n\tList getAllUsersByFirstNameOrLastName(String name,long customerId);\r\n\tList getMyFavouritiesByUserId(long accountId);\r\n\tList getMyFavouritiesByUserIdAndKBankId(long accountId,long kBankId);\r\n\tKBankRating getKBankRateByKBankId(String kBankId);\r\n\tList getPlayListVideosByKeywords(String keywords);\r\n\tList getQuizListWithCustId(long custId);\r\n\tList getQuizQuestionListWithCategoryId(long quizId,long custId);\r\n\tQuizQuestion getQuizQuestionId(long questionId,long custId);\r\n\tList getQuestionAnswersWithQuestionId(long questionId,long custId);\r\n\tQuestionAnswer getCorrectAnswerWithQuestionId(long questionId,long custId);\r\n\tList getAllAlertsByAlertStatus(long customerId,String alertType,String receiverType,boolean isAdmin,String academicYearId);\r\n\tList deleteAbsentStudents(String attenDate,long classId,long customerId);\r\n\tint getUpdateQuizQuestionStatus(long quizId,long custId,String selectdDate);\r\n\tList getUpdateStudentQuizStatus(long custId);\r\n\tList getQuizQuestionListWithStudentList(long quizId,long custId);\r\n\tList getQuizQuestionListWithCategoryIdAndTeacherId(long quizId,long staffId,long custId);\r\n\tString studentFailInAnnuallyExam(long studentId,long examTypeId,String minMarks);\r\n\tPromoteClass getPromoteClassDetails(long classId,long custId);\r\n\tString getStudentCountByClassId(long classId,long custId);\r\n\tViewStudentMarksDetails getStudentsMarksByClassIdandExamtypeId(long classId,long examTypeId,long custId,String academicYear,long studentId,long subjectId);\r\n\tList getMarksByClassIdandExamtypeId(long classId,long custid);\r\n\tString getStudentCountByClassNameClassId(long ClassNameClassId,long custId);\r\n\tList getExamScheduleIdsByAcademicYearandClassIdandExamTypeId(String academicYear,String classId ,String examTypeId);\r\n\tList getAllStudentMarksChangesByExamScheduleIds(String scheduleIds);\r\n\tint updateStudentMarksByStudentIdandScheduleId(String studentId,String scheduleId,String obtainedMarks);\r\n\tList getTeacherExamScheduleIdsByClassIdandSubjectId(long classId,long subjectId,long academicYear);\r\n\tvoid removeStudentMarksChangesByClassIdandSubjectIdandAcademicYear(String scheduleIds);\r\n\tViewStudentMarksDetails getStudentsMarksByStudentIdandExamTypeIdandSubjectId(long examTypeId,long custId,long studentId,long subjectId);\r\n\tList<ReplyScrapMessage> getAllReplyMessagesListByScrapId(long scrapId,long customerId);\r\n\tList<VWStudentAttendance> getStudentsAttendance(long custId, long academicYearId,int month,long classId, long classSectionId, String date);\r\n\tlong getStudentsAttendanceByClassSectionIdAndMonthId(long classSectionId,int monthId,long academicYearId,long custId,String attendanceStatus);\r\n\tList getStaffAttendanceByPresentStatusAndLeaveRequestStaus(long custId,long academicYearId, long staffId, String present,String leaveRequest);\r\n\tList<ViewStudentMarksDetails> getLatestUpdatedStudentMarksExamTypeIdsByClassSectionIdAndCustId(long classSectionId,long custId);\r\n\tList getTeacherSubjectsByStaffIdAndClassIdGroupByclassIdSubjectId(long staffId,long classId,long academicYearId);\r\n\tdouble getStudentsTotalMarksByClassIdTypeIdAndSubjId(long classSectionId,long examTypeId,long subjectId,long academicYearId);\r\n\tlong getStudentsCountByClassIdTypeIdAndSubjId(long classSectionId,long examTypeId,long subjectId,long academicYearId);\r\n\tList getIsClassTeacherByClassSectionAndStaffIdAndAcademicYear(long classSectionId,long staffId,long academicYearId);\r\n\tlong getPassStudentsCount(long classSectionId,long examTypeId,long subjectId,long academicYearId,double passMarks);\r\n\tlong getFailStudentsCount(long classSectionId,long examTypeId,long subjectId,long academicYearId,double passMarks);\r\n\tViewStaffPersonAccountDetails getStaffDetailsByAccountIdandStatus(long accountId,long academicYearId,String status,long custId);\r\n\tScrapMessage getScrapMessageBySenderAndReceiverId(long senderAccountId,long receiverAccountId,long customerId,long academicYearId) ;\r\n\tList getLatestSmsCount(long custId,long academicYearId);\r\n\tList<ViewStudentLeaveDetails> getAllFutureStudentLeavesByStatusAndRoleNameAndSupervisorId(long customerId, String leaveStatus, String roleName,long supervisorId,long academicYearId);\r\n\tList<ViewStudentMarksDetails> getStudentsMarksListByStudentIdandExamTypeIdandSubjectId(long examTypeId,long custId,long studentId,long subjectId);\r\n\tList<ViewStudentMarksDetails> getStudentsMarksListByStudentIdandExamTypeIdandSubjectIdAndSubTypeId(long examTypeId, long custId, long studentId, long subjectId,long subTypeId);\r\n\tString getSUMStudentsMarksByStudentIdandExamTypeIdandSubjectIdAndSubTypeId(long examTypeId, long custId, long studentId, long subTypeId);\r\n\tvoid removeStaffAttendanceByaccountIdAndDates(long accountId,String startDate,String endate,long custId,long academicYearId);\r\n\tint getTransportSmsCount(long custId,long academicYearId);\r\n\tList<VWStudentDailyAttendance> getStudentDailyAttendance(long custId, long classSectionId, String date);\r\n\tlong getStudentsMonthlyAttendanceByClassSectionIdAndMonthId(long classSectionId,int monthId,long academicYearId,long custId,long studentId);\r\n\tint getTotalWorkingDaysByClassSectionIdAndMonthId(long classSectionId,int monthId,long academicYearId,long custId,long studentId);\r\n\tvoid removeStudentDailyAttendance(long studentId,String startDate,String endate);\r\n\tClassTeacher getClassTeacherByAccountId(long accountId, long academicYearId);\r\n\tStaffDailyAttendance getStaffDailyAttendance(long accountId,String date);\r\n\tList getAllMessagesByAccountId(String messageStatus,long accountId,String academicYearId,Date messageDate);\r\n\tMap<String,String> disableStaff(long staffId,String reasonForDisable, long operatorId);\r\n\tvoid loadTeacher(Sheet sheet,String loadType, long custId,long loggedUserId);\r\n\tList<ViewStaffLeaveDetails> getAllFutureLeavesByStatusAndRoleName(long customerId,String leaveStatus,String roleName,long academicYearId);\r\n\tMap<String,String> addOrUpdateStaffAttendance(String strFormData, long academicYearId, long custId, long userId,String sms);\r\n\tboolean updateMessage(long messageId);\r\n\tint submitReplyMessage(ReplyScrapMessageMainVO replyScrapMessageMainVO);\r\n\tvoid updateRoleByUserId(long roleId,long userId);\r\n\tint submitParentMessage(SendMessageVO sendMessageVO);\r\n\tvoid sendNotificationForLeaveApproval(Leave leave, String channel);\r\n\tvoid sendNotificationForLeaveApprovalForHostelLeave(HostelLeave hostelLeave, String channel);\r\n\tvoid sendNotificationForLeaveApply(Leave leave, String channel,long leaveId);\r\n\tint addOrUpdateStaffAttendanceFromApp(StaffDailyAttendanceMainVO staffDailyAttendanceMainVO);\r\n\tint deleteLeaveInfo(long leaveId);\r\n\tint leaveVoFromApp(LeavesVO leavesVO);\r\n\tint submitOrEditLeaves(Leave leaveObj, AcademicYear academicYearObj, User userObj,long custId, long leaveId, String channel, String stuHostelLeave);\r\n\tint approveOrRejectLeaves(User userObj,String leaveStatus, String approvalsComment, long leaveId, String channel, String forStaffOrStudent);\r\n\tList<BigInteger> getTeacherIdsByStudyClassSubject(long custId,long academicYearId,long studyClassId,long subjectId);\r\n\tTaskDetailsVO getTaskDetailsById(Long taskId);\r\n\tint addOrUpdateTaskDetails(TaskDetailsVO taskDetailsVO, User user, long academicYearId,String isCheckMobileService,String isCheckEmailService);\r\n\tint addOrUpdateReminder(ReminderVO reminderVO, User user, long academicYearId, String isCheckMobileService, String isCheckEmailService);\r\n\tint deleteTaskDetails(long taskId);\r\n\tTaskDetailsVO showTaskDetailsComments(long taskId);\r\n\tTaskDetailsVO showTaskInfromationInTaskProcess(long taskId);\r\n\tint addOrUpdateTaskInprogressOrComplete(long taskId, TaskHistoryVO taskHistoryVO, long userAcademicYearId);\r\n\tList getAllTaskdetails(String anyTitle, User user, boolean isClassTeacher);\r\n\tList getRemindersList(long custId, long userId); \r\n\tReminderVO getReminderDetailsById(Long id);\r\n}", "public StaffMember(){\r\n\t\tsuper();\r\n\t\tthis.job = \"\";\r\n\t\tthis.staffShows = new ArrayList<ScheduledConcert>();\r\n\t\tthis.setStaffID();\r\n\t}", "public List<StaffPojo> viewAllStaff() {\n\t\treturn staffDao.viewAllStaff();\n\t}", "public void addDoctorPerInfo(String doc_id, String doctor_login_id, String membership_id, String first_name, String middle_name, String last_name, String email_id, String phone_no, String company_id) {\n SQLiteDatabase db = this.getWritableDatabase();\n try {\n\n ContentValues values = new ContentValues();\n\n values.put(DOCTOR_ID, doc_id);\n values.put(DOCTOR_LOGIN_ID, doctor_login_id);\n values.put(DOCTOR_MEMBERSHIP_ID, membership_id);\n values.put(FIRST_NAME, first_name); // Name\n values.put(MIDDLE_NAME, middle_name);\n values.put(LAST_NAME, last_name);\n values.put(KEY_EMAIL, email_id);\n values.put(PHONE_NUMBER, phone_no);\n values.put(COMPANY_ID, company_id);\n values.put(\"created_at\", new AppController().getCurrentDate());\n //this will update record if exist else create new record 02-03-2017\n\n // db.insertWithOnConflict(TABLE_DOCTORINFO, DOCTOR_ID, values, SQLiteDatabase.CONFLICT_REPLACE);\n\n int u = db.update(TABLE_DOCTORINFO, values, \"doctor_id=?\", new String[]{doc_id});\n if (u == 0) {\n db.insertWithOnConflict(TABLE_DOCTORINFO, DOCTOR_ID, values, SQLiteDatabase.CONFLICT_REPLACE);\n }\n\n } catch (Exception e) {\n e.printStackTrace();\n } finally {\n if (db != null) {\n\n db.close(); // Closing database connection\n }\n }\n }", "public void setStaff_surname(String staff_surname) {\n this.staff_surname = staff_surname;\n }", "public StaffDetail(StaffDetail other) {\n __isset_bit_vector.clear();\n __isset_bit_vector.or(other.__isset_bit_vector);\n this.id = other.id;\n if (other.isSetStaffId()) {\n this.staffId = other.staffId;\n }\n if (other.isSetLoginType()) {\n this.loginType = other.loginType;\n }\n if (other.isSetLoginId()) {\n this.loginId = other.loginId;\n }\n if (other.isSetLoginPass()) {\n this.loginPass = other.loginPass;\n }\n if (other.isSetLoginPassEncrypt()) {\n this.loginPassEncrypt = other.loginPassEncrypt;\n }\n if (other.isSetPhoneNumber()) {\n this.phoneNumber = other.phoneNumber;\n }\n if (other.isSetStaffType()) {\n this.staffType = other.staffType;\n }\n if (other.isSetStatus()) {\n this.status = other.status;\n }\n if (other.isSetCertStatus()) {\n this.certStatus = other.certStatus;\n }\n this.avgScore = other.avgScore;\n if (other.isSetTag()) {\n this.tag = other.tag;\n }\n this.finishOrderCount = other.finishOrderCount;\n this.assignOrderCount = other.assignOrderCount;\n if (other.isSetExtraData1()) {\n this.extraData1 = other.extraData1;\n }\n if (other.isSetExtraData2()) {\n this.extraData2 = other.extraData2;\n }\n this.createTime = other.createTime;\n this.updateTime = other.updateTime;\n this.registerTime = other.registerTime;\n this.lastReceptionTime = other.lastReceptionTime;\n }", "public int createNewStaff(String name, String branch) {\n clickOnBtn(ActionsEnum.Create.name());\n fillCreateOrEditForm(name, branch);\n clickOnBtn(ActionsEnum.Save.name());\n waitForElementInvisibility(xpathBtn.replace(\"btn\", ActionsEnum.Save.name()));\n int id = getMaxId();\n logger.info(\"# Newly Created Staff's Id: \" + id);\n return id;\n }", "public String getClStaffId() {\r\n\t\treturn clStaffId;\r\n\t}", "void update(String userName, String password, String userFullname,\r\n\t\tString userSex, int userTel, String role);", "@Override\r\n\tpublic void add() {\n\t\tif(alreadyAdded()) {\r\n\t\t\tJOptionPane.showMessageDialog(null, \"Member is already added\");\r\n\t\t}else {\r\n\t\t\t\r\n\t\t\t\ttry(Connection connection= db.getConnection();) {\r\n\t \t\r\n\t\t\t\t\r\n\t\t\t\tString addString=\"INSERT INTO members VALUES(?,?,?,?)\";\r\n\t\t\t\tpreparedStatement=connection.prepareStatement(addString);\r\n\t\t\t\tpreparedStatement.setString(1, super.getIdString());\r\n\t\t\t\tpreparedStatement.setString(2, super.getNameString());\r\n\t\t\t\tpreparedStatement.setString(3, super.getSurnameString());\r\n\t\t\t\tpreparedStatement.setString(4, super.getEmailString());\r\n\t\t\t\t\r\n\t\t\t\tpreparedStatement.executeUpdate();\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t\t\r\n\t\t\t} catch (SQLException e) {\r\n\t\t\t\tJOptionPane.showMessageDialog(null, \"Something went wrong\");\r\n\t\t\t\te.printStackTrace();\r\n\t\t\t}\r\n\t\t}\r\n\t\t \r\n\t\t\r\n\t}", "@Put\n public void addMember(){\n try {\n controller.addMember(getQueryValue(\"id\"), getQueryValue(\"name\"));\n }catch(MenuException e){\n System.out.println(e.getMessage());\n }\n }", "int insertSelective(CxBasStaff record);", "public boolean deleteStaff(Staff staff) {\n\t\treturn false;\n\t}", "private static void LessonDAOUpdate() {\n PersonDAO personDAO = new PersonDAOImpl();\n\n Person person = personDAO.getPersonById(7);\n person.setFirstName(\"Teddy\");\n\n if(personDAO.updatePerson(person)) {\n System.out.println(\"Person Update Success!\");\n } else {\n System.out.println(\"Person Update Fail!\");\n }\n }", "public Staff(String[] db) {\n\t\tthis.staffId = db[0];\n\t\tthis.staffPass = db[1];\n\t}", "public String addPromotionStaff() throws Exception {\n\t\tactionStartTime = new Date();\n\t\tresetToken(result);\n\t\tresult.put(ERROR, true);\n\t\tif (promotionId == null \|\| promotionId < 1 \|\| lstId == null \|\| lstId.size() == 0 \|\| lstQtt == null \|\| lstQtt.size() == 0 \|\| lstId.size() != lstQtt.size()) {\n\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_DATA_CORRECT));\n\t\t\treturn JSON;\n\t\t}\n\t\ttry {\n\t\t\tstaff = getStaffByCurrentUser();\n\t\t\tif (staff == null \|\| staff.getShop() == null \|\| staff.getStaffType() == null) {\n\t\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_PERMISSION, \"\"));\n\t\t\t\treturn JSON;\n\t\t\t}\n\t\t\tList<PromotionStaffVO> lstTmp = promotionProgramMgr.getListStaffInPromotion(promotionId, lstId);\n\t\t\tif (lstTmp != null && lstTmp.size() > 0) {\n\t\t\t\tString msg = \"\";\n\t\t\t\tfor (PromotionStaffVO vo : lstTmp) {\n\t\t\t\t\tmsg += (\", \" + vo.getCode());\n\t\t\t\t}\n\t\t\t\tmsg = msg.replaceFirst(\", \", \"\");\n\t\t\t\tresult.put(\"errMsg\", Configuration.getResourceString(ConstantManager.VI_LANGUAGE, \"catalog.promotion.customer.map.exists\", msg));\n\t\t\t\treturn JSON;\n\t\t\t}\n\t\t\t//\t\t\tlstTmp = null;\n\t\t\tPromotionProgram pro = promotionProgramMgr.getPromotionProgramById(promotionId);\n\t\t\tif (pro == null) {\n\t\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_EXIST_DB, \"CTKM\"));\n\t\t\t\treturn JSON;\n\t\t\t}\n\t\t\tif (!ActiveType.WAITING.equals(pro.getStatus()) && !ActiveType.RUNNING.equals(pro.getStatus())) {\n\t\t\t\tresult.put(\"errMsg\", Configuration.getResourceString(ConstantManager.VI_LANGUAGE, \"promotion.program.incorrect\"));\n\t\t\t\treturn JSON;\n\t\t\t}\n\t\t\tList<PromotionStaffMap> lst = new ArrayList<PromotionStaffMap>();\n\t\t\tPromotionShopMap psm = null;\n\t\t\tPromotionStaffMap pstm;\n\t\t\tStaff st;\n\t\t\tDate now = DateUtil.now();\n\t\t\tLong shIdT = null;\n\t\t\tfor (int i = 0, sz = lstId.size(); i < sz; i++) {\n\t\t\t\tst = staffMgr.getStaffById(lstId.get(i));\n\t\t\t\tif (staff == null) {\n\t\t\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_NOT_EXIST_DB, \"NVBH\"));\n\t\t\t\t\treturn JSON;\n\t\t\t\t}\n\t\t\t\tif (!ActiveType.RUNNING.equals(st.getStatus())) {\n\t\t\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_STATUS_INACTIVE, st.getStaffCode()));\n\t\t\t\t\treturn JSON;\n\t\t\t\t}\n\t\t\t\tif (!StaffSpecificType.STAFF.getValue().equals(st.getStaffType().getSpecificType().getValue()) && !StaffSpecificType.SUPERVISOR.getValue().equals(st.getStaffType().getSpecificType().getValue())) {\n\t\t\t\t\tresult.put(\"errMsg\", Configuration.getResourceString(ConstantManager.VI_LANGUAGE, \"catalog.not.nvbh\", st.getStaffCode()));\n\t\t\t\t\treturn JSON;\n\t\t\t\t}\n\t\t\t\tif (psm == null \|\| !st.getShop().getId().equals(shIdT)) {\n\t\t\t\t\tpsm = promotionProgramMgr.getPromotionParentShopMap(promotionId, st.getShop().getId(), ActiveType.RUNNING.getValue());\n\t\t\t\t}\n\t\t\t\tif (psm == null \|\| !ActiveType.RUNNING.equals(psm.getStatus())) {\n\t\t\t\t\tresult.put(\"errMsg\", Configuration.getResourceString(ConstantManager.VI_LANGUAGE, \"promotion.shop.not.exist\"));\n\t\t\t\t\treturn JSON;\n\t\t\t\t}\n\t\t\t\tshIdT = st.getShop().getId();\n\t\t\t\tList<PromotionStaffMap> listPromotionStaffMap = promotionProgramMgr.getListPromotionStaffMapAddPromotionStaff(psm.getId(), st.getId(), shIdT);\n\t\t\t\tif (listPromotionStaffMap != null && listPromotionStaffMap.size() > 0) {\n\t\t\t\t\tfor (PromotionStaffMap staffMap : listPromotionStaffMap) {\n\t\t\t\t\t\tString staffCode = staffMap.getStaff().getStaffCode();\n\t\t\t\t\t\tStringBuilder sb = new StringBuilder(\"Nhân viên có mã \");\n\t\t\t\t\t\tsb.append(staffCode);\n\t\t\t\t\t\tsb.append(\" có \");\n\t\t\t\t\t\tif (lstQtt.get(i) != null && staffMap.getQuantityReceivedTotal() != null && lstQtt.get(i).compareTo(staffMap.getQuantityReceivedTotal()) < 0) {\n\t\t\t\t\t\t\tsb.append(\"số suất phân bổ không được bé hơn số suất đã nhận.\");\n\t\t\t\t\t\t\tresult.put(\"errMsg\", sb.toString());\n\t\t\t\t\t\t\treturn JSON;\n\t\t\t\t\t\t} else if (lstAmt.get(i) != null && staffMap.getAmountReceivedTotal() != null && lstAmt.get(i).compareTo(staffMap.getAmountReceivedTotal()) < 0) {\n\t\t\t\t\t\t\tsb.append(\"số tiền phân bổ không được bé hơn số tiền đã nhận.\");\n\t\t\t\t\t\t\tresult.put(\"errMsg\", sb.toString());\n\t\t\t\t\t\t\treturn JSON;\n\t\t\t\t\t\t} else if (lstNum.get(i) != null && staffMap.getNumReceivedTotal() != null && lstNum.get(i).compareTo(staffMap.getNumReceivedTotal()) < 0) {\n\t\t\t\t\t\t\tsb.append(\"số lượng phân bổ không được bé hơn số lượng đã nhận.\");\n\t\t\t\t\t\t\tresult.put(\"errMsg\", sb.toString());\n\t\t\t\t\t\t\treturn JSON;\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif (lstQtt.get(i) > ZEZO) {\n\t\t\t\t\t\t\tstaffMap.setQuantityMax(lstQtt.get(i));\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif (BigDecimal.ZERO.compareTo(lstAmt.get(i)) < 0) {\n\t\t\t\t\t\t\tstaffMap.setAmountMax(lstAmt.get(i));\n\t\t\t\t\t\t}\n\t\t\t\t\t\tif (BigDecimal.ZERO.compareTo(lstNum.get(i)) < 0) {\n\t\t\t\t\t\t\tstaffMap.setNumMax(lstNum.get(i));\n\t\t\t\t\t\t}\n\t\t\t\t\t\tlst.add(staffMap);\n\t\t\t\t\t}\n\t\t\t\t} else {\n\t\t\t\t\tpstm = new PromotionStaffMap();\n\t\t\t\t\tpstm.setPromotionShopMap(psm);\n\t\t\t\t\tpstm.setShop(st.getShop());\n\t\t\t\t\tpstm.setStaff(st);\n\t\t\t\t\tif (lstQtt.get(i) > ZEZO) {\n\t\t\t\t\t\tpstm.setQuantityMax(lstQtt.get(i));\n\t\t\t\t\t}\n\t\t\t\t\tif (BigDecimal.ZERO.compareTo(lstAmt.get(i)) < 0) {\n\t\t\t\t\t\tpstm.setAmountMax(lstAmt.get(i));\n\t\t\t\t\t}\n\t\t\t\t\tif (BigDecimal.ZERO.compareTo(lstNum.get(i)) < 0) {\n\t\t\t\t\t\tpstm.setNumMax(lstNum.get(i));\n\t\t\t\t\t}\n\t\t\t\t\tpstm.setStatus(ActiveType.RUNNING);\n\t\t\t\t\tpstm.setCreateDate(now);\n\t\t\t\t\tpstm.setCreateUser(staff.getStaffCode());\n\n\t\t\t\t\tlst.add(pstm);\n\t\t\t\t}\n\t\t\t}\n\t\t\tpromotionProgramMgr.createListPromotionStaffMap(lst, getLogInfoVO());\n\t\t\tresult.put(ERROR, false);\n\t\t} catch (Exception ex) {\n\t\t\tLogUtility.logErrorStandard(ex, R.getResource(\"web.log.message.error\", \"vnm.web.action.program.PromotionCatalogAction.addPromotionStaff\"), createLogErrorStandard(actionStartTime));\n\t\t\tresult.put(\"errMsg\", ValidateUtil.getErrorMsg(ConstantManager.ERR_SYSTEM));\n\t\t\tresult.put(ERROR, true);\n\t\t}\n\t\treturn JSON;\n\t}", "@Override\n\tpublic int addNewEmployee(String firstName, String lastName, String email, String designation, String location,\n\t\t\tint salary) {\n\t\treturn template.update(\n\t\t\t\t\"insert into employee(fname, lname, email, desig, location, salary) values(?, ?, ?, ?, ?, ?)\",\n\t\t\t\tfirstName, lastName, email, designation, location, salary);\n\t}", "public void editDataInRelation(String alias, ArrayList<String> nameForManipulator, ArrayList<Integer> nameIndicator, ArrayList<Integer> classST,\n ArrayList<Integer> superST, ArrayList<String> classString, ArrayList<String> superSting, boolean exist, int id) {\n\n Relation relation = dataModel.getRelation(id);\n dataModel.addDataToRelation(relation, alias, nameForManipulator, nameIndicator, classST, superST, classString, superSting, exist);\n }", "static boolean registerStaff(String name, String username, String password) {\r\n if (!StudentSystem.accounts.containsKey(username)) {\r\n Staff staff = new Staff();\r\n staff.setName(name);\r\n staff.setUsername(username);\r\n staff.setPassword(password);\r\n staff.setAccountType(3);\r\n\r\n accounts.put(username, staff);\r\n return true;\r\n }\r\n return false;\r\n }", "public List<StaffPojo> staffSearchByName(String sname) {\n\t\treturn staffDao.staffSearchByName(sname);\n\t}", "@Override\r\n\tpublic Employe addEmploye(Employe e, Long codeSup) {\n\t\treturn dao.addEmploye(e, codeSup);\r\n\t}", "public int createNewStaff(String name, int branchId) {\n clickOnBtn(ActionsEnum.Create.name());\n fillCreateOrEditForm(name, branchId);\n clickOnBtn(ActionsEnum.Save.name());\n waitForElementInvisibility(xpathBtn.replace(\"btn*\", ActionsEnum.Save.name()));\n int id = getMaxId();\n logger.info(\"# Newly Created Staff's Id: \" + id);\n return id;\n }", "private void addUser(\n People.Builder builderForValue) {\n ensureUserIsMutable();\n user_.add(builderForValue.build());\n }", "@FXML\r\n\tprivate void saveEmployee(ActionEvent event) {\r\n\t\tif (validateFields()) {\r\n\t\t\tEmployee e;\r\n\t\t\tif (newEmployee) {\r\n\t\t\t\te = new Employee();\r\n\t\t\t\tlistaStaff.getItems().add(e);\r\n\t\t\t} else {\r\n\t\t\t\te = listaStaff.getSelectionModel().getSelectedItem();\r\n\t\t\t}\r\n\t\t\te.setUsername(txUsuario.getText());\r\n\t\t\te.setPassword(txPassword.getText());\r\n\t\t\tif (checkAdmin.isSelected())\r\n\t\t\t\te.setIsAdmin(1);\r\n\t\t\telse\r\n\t\t\t\te.setIsAdmin(0);\r\n\t\t\tif (checkTPV.isSelected())\r\n\t\t\t\te.setTpvPrivilege(1);\r\n\t\t\telse\r\n\t\t\t\te.setTpvPrivilege(0);\r\n\t\t\tif (newEmployee) {\r\n\t\t\t\tservice.saveEmployee(e);\r\n\t\t\t\tnewEmployee = false;\r\n\t\t\t} else\r\n\t\t\t\tservice.updateEmployee(e);\r\n\t\t\tbtGuardar.setDisable(true);\r\n\t\t\tbtEditar.setDisable(false);\r\n\t\t\tconmuteFields();\r\n\t\t\tupdateList();\r\n\t\t}\r\n\t}", "public void update() {\r\n\t\tCampLeaseDAO leaseDao = (CampLeaseDAO) getApplicationContext().getBean(\"leaseDaoBean\", CampLeaseDAO.class);\r\n\t\tleaseDao.update(this); // routine now uses leaseDao to get CampLease class\r\n\t}", "private void updateList() {\r\n\t\tlistaStaff.setItems(FXCollections.observableArrayList(service\r\n\t\t\t\t.getStaff()));\r\n\t}", "@Override\n\tpublic void updateEmployee() {\n\n\t}", "public Staff() {\n this(DSL.name(\"STAFF\"), null);\n }", "public StaffPojo staffSearchById(String sid) {\n\t\treturn staffDao.staffSearchById(sid);\n\t}", "@Override\n\tpublic void updateEmployee(int empid, int empNewSalary) {\n\t\t\n\t}", "public boolean isSetStaffId() {\n return this.staffId != null;\n }", "public void UserServiceTest_Edit()\r\n {\r\n User user = new User();\r\n user.setId(\"1234\");\r\n user.setName(\"ABCEdited\");\r\n user.setPassword(\"123edited\");\r\n ArrayList<Role> roles = new ArrayList<>();\r\n roles.add(new Role(\"statio manager\"));\r\n user.setRoles(roles);\r\n \r\n UserService service = new UserService(); \r\n try {\r\n service.updateUser(user);\r\n } catch (SQLException e) {\r\n fail();\r\n System.out.println(e);\r\n }catch (NotFoundException e) {\r\n fail();\r\n System.out.println(e);\r\n }\r\n }", "public void searchStaff(String searchTxt) {\n assertAndType(xpathSearchTF, searchTxt);\n clickOnBtn(SEARCH_A_STAFF);\n logger.info(\"# Performed staff search for '\" + searchTxt + \"'\");\n }", "public interface StaffDAO {\n public boolean save(Staff staff);\n\n public boolean update(Staff staff);\n\n public boolean delete(Staff staff);\n\n public Staff getStaff(Long staffId);\n\n public Staff getStaff(String query);\n\n public List<Staff> findAllStaff();\n\n public List<Staff> findAllStaff(String query);\n}", "Pair<String, String> addManager() {\n if (getManagerRefId() != null && !getManagerRefId().equals(\"\")) {\n Actor foundManager = ActorDao.getActorByRefId(getManagerRefId());\n if (foundManager != null) {\n Actor currentActor = ActorDao.getActorByRefId(getRefId());\n currentActor.manager = foundManager;\n currentActor.save();\n } else {\n return Pair.of(getRefId(), getManagerRefId());\n }\n }\n return null;\n }", "@Override\n public void addStudent(String firstName, String lastName, int age, Set<Course> courses) {}", "@Override\n public boolean allottingCustomerToFnManager(SalesCustomerBean slcust, long id) {\n long custid = id;\n String department = \"Finance\";\n String manager = slcust.getFnmanager();\n\n return in_salescustdao.allottingCustomerToFnManager(custid, department, manager);\n }", "@Override\r\n\tpublic Staff findOne(Long id) {\n\t\treturn staffDao.findOne(id);\r\n\t}", "void update(int id, int teacherid, int noteid );", "@Override\n public boolean equals(Object object) {\n if (!(object instanceof Staff)) {\n return false;\n }\n Staff other = (Staff) object;\n if ((this.ID == null && other.ID != null) \|\| (this.ID != null && !this.ID.equals(other.ID))) {\n return false;\n }\n return true;\n }", "@PostMapping(\"/addCourseByStaff/{staffId}\")\n\tpublic String addCourse(@RequestHeader(\"Authorization\") String token, @Valid @PathVariable(\"staffId\") int sId,\n\t\t\t@RequestBody Course c) {\n\t\tString role = jwtUserDetailsService.getRoleFromToken(token);\n\t\tif (courseService.viewCourse(c.getCourseId()) == null) {\n\t\t\tif (role.contentEquals(\"STAFF\")) {\n\t\t\t\tuniversityService.addCourse(c, sId);\n\t\t\t\treturn \"Course Details saved Succesfully\";\n\t\t\t}\n\t\t\telse {\n\t\t\t\treturn \"Invalid role!\";\n\t\t\t}\n\t\t}\n\t\treturn \"Duplicate Course ID\";\n\t}", "@Test\n public void testStaffFactoryRemove() {\n StaffController staffController = staffFactory.getStaffController();\n staffController.removeStaff(STAFF_NAME, 1);\n assertEquals(0, staffController.getStaffList().size());\n }", "@FXML\n private void onAddStaff(ActionEvent event){\n\n }" ]	[ "0.71820325", "0.69719076", "0.66223705", "0.6549942", "0.6330332", "0.6286123", "0.62589896", "0.62134445", "0.617044", "0.61303484", "0.6104946", "0.60441273", "0.6029116", "0.59971404", "0.59913063", "0.59682906", "0.594019", "0.5932808", "0.59303886", "0.592469", "0.59165096", "0.5848157", "0.5832726", "0.5824611", "0.58002186", "0.57417876", "0.57313746", "0.5714146", "0.5655521", "0.56005454", "0.5596413", "0.55655706", "0.5541596", "0.5498921", "0.5490313", "0.54734254", "0.5452452", "0.54368186", "0.541784", "0.54168147", "0.5405737", "0.53539217", "0.5348544", "0.53380823", "0.53376704", "0.5334488", "0.5330357", "0.5327809", "0.531904", "0.53024143", "0.52997804", "0.5296715", "0.52741736", "0.52727973", "0.52677506", "0.5250892", "0.52426827", "0.5239315", "0.5229758", "0.52109385", "0.5202875", "0.51865846", "0.5174091", "0.51609707", "0.51584214", "0.51482207", "0.5129692", "0.5128346", "0.5117195", "0.51043314", "0.51001525", "0.5091957", "0.50870264", "0.50867647", "0.5085449", "0.5082207", "0.50763583", "0.5073371", "0.50605434", "0.50584346", "0.5055324", "0.50521874", "0.5049653", "0.5039922", "0.5035157", "0.5031543", "0.5026537", "0.5022179", "0.5019372", "0.50182396", "0.50163364", "0.5013047", "0.50123024", "0.5011858", "0.50105035", "0.5002124", "0.49997988", "0.49979115", "0.49953088", "0.49883962" ]	0.63380927	4
Getting list of staffs by specific department using department id.	@GetMapping("/department/{deptId}/staff") public List<Staff> getStaffByDepartment(@PathVariable("deptId") int deptid) { return staffService.getStaffByDepartment(deptid); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "public List<Employee> getAllByDepartment(Department id) throws SQLException {\n Session session = currentSession();\n Transaction transaction = session.beginTransaction();\n Query<Employee> query = session.createQuery(\n \"from Employee as e where e.department = :department\",Employee.class);\n query.setParameter(\"department\", id);\n List<Employee> list = query.list();\n transaction.commit();\n session.close();\n return list;\n }", "public Department getDepartmentById(Integer id);", "@Override\r\n\tpublic List<Employee> departmentHaveEmployee(int id) {\n\t\treturn employeedao.departmentHaveEmployee(id);\r\n\t}", "public List getDepartmentUserByDEpartment(int departmentId) {\n /\n Use the ConnectionFactory to retrieve an open\n * Hibernate Session.\n \n /\n Session session = ConnectionFactory.getInstance().getSession();\n Query query;\n\n try {\n /\n Build HQL (Hibernate Query Language) query to retrieve a list\n * of all the items currently stored by Hibernate.\n /\n\n query = session.createQuery(\"select DepartmentUser from app.user.DepartmentUser DepartmentUser where \"\n + \" DepartmentUser.departmentId= \" + departmentId);\n return query.list();\n } catch (HibernateException e) {\n System.err.println(\"Hibernate Exception\" + e.getMessage());\n throw new RuntimeException(e);\n } /\n * Regardless of whether the above processing resulted in an Exception\n * or proceeded normally, we want to close the Hibernate session. When\n * closing the session, we must allow for the possibility of a Hibernate\n * Exception.\n \n / finally {\n if (session != null) {\n try {\n session.close();\n } catch (HibernateException e) {\n System.err.println(\"Hibernate Exception\" + e.getMessage());\n throw new RuntimeException(e);\n }\n\n }\n }\n }", "@Transactional(readOnly = true)\n public List<Employee> getList(Long departmentId) {\n logger.debug(\"Testing retrieve all employees: {}\", departmentId);\n return Lists.newArrayList(employeeDao.getList(departmentId));\n }", "public java.util.List findStudentByDepartmentId(java.lang.Integer departmentId) throws GenericBusinessException {\n sust.paperlessexm.hibernatehelper.HibernateQueryHelper hibernateTemplate = new sust.paperlessexm.hibernatehelper.HibernateQueryHelper();\n try {\n String queryString = \"from \" + Student.class.getName() + \" e where e.departmentId like :departmentId \";\n // Add a an order by on all primary keys to assure reproducable results.\n String orderByPart = \"\";\n orderByPart += \" order by e.studentId\";\n queryString += orderByPart;\n Query query = hibernateTemplate.createQuery(queryString);\n hibernateTemplate.setQueryParameter(query, \"departmentId\", departmentId);\n List list = hibernateTemplate.list(query);\n return list;\n } finally {\n log.debug(\"finished findStudentByDepartmentId(java.lang.Integer departmentId)\");\n }\n }", "@Override\n\t/*\n\t Lista los empleados de un departamento dada su id y lo guardamos en department.\n\t /\n\tpublic List<Employees> listadoPorDepartamento(Object department) {\n\t\tList<Employees> ls = null;\n\n\t\tls = ((SQLQuery) sm.obtenerSesionNueva().createQuery(\n\t\t\t\tInstruccionesSQL.CONSULTAR_EMPLEADOS_X_DEPARTAMENTOS\n\t\t\t\t\t\t+ department)).addEntity(Employees.class).list();\n\n\t\treturn ls;\n\t}", "public Departmentdetails getDepartmentByName(String departmentName);", "Department findById(long id);", "public static List getAlumniByDept(String department)\n { \n session=SessionFact.getSessionFact().openSession();\n List li=session.createQuery(\"from Alumni_data where department=:department\").setString(\"department\", department).list();\n session.close();\n return li;\n }", "public List<Department> getAllDepartments();", "@Override\r\n\tpublic Department getDepartmentById(int id) {\n\t\treturn getHibernateTemplate().get(Department.class, id);\r\n\t}", "public Department FindById(Department d) {\n\t\treturn ddi.FindById(d);\n\t}", "@Override\r\n\tpublic Department getDepartment(Long id) throws DepartmentNotFoundException {\n\t\tOptional<Department> department = deptRepo.findById(id);\r\n\t\t\r\n\t\tif(!department.isPresent()) {\r\n\t\t\tthrow new DepartmentNotFoundException(\"Oops..! No Department is available for the id.\");\r\n\t\t}\r\n\t\t\r\n\t\treturn department.get();\r\n\t}", "@Override\n\tpublic ArrayList<Employee> getEmployeesByDepartmentID(int depid) throws RemoteException {\n\t\treturn DAManager.getEmployeesByDepartmentID(depid);\n\t}", "public List<Departmentdetails> getDepartmentDetails();", "public Department findByNameDepartment(String nameDepartment);", "public Department getSingleDepartment(Integer id) {\n\n /\n * Use the ConnectionFactory to retrieve an open\n * Hibernate Session.\n \n /\n Session session = ConnectionFactory.getInstance().getSession();\n List results = null;\n try {\n\n results = session.find(\"from Department as department where department.departmentId = ?\",\n new Object[]{id},\n new Type[]{Hibernate.INTEGER});\n\n\n\n } /\n If the object is not found, i.e., no Item exists with the\n * requested id, we want the method to return null rather\n * than throwing an Exception.\n \n / catch (ObjectNotFoundException onfe) {\n return null;\n } catch (HibernateException e) {\n /\n All Hibernate Exceptions are transformed into an unchecked\n * RuntimeException. This will have the effect of causing the\n * user's request to return an error.\n \n /\n System.err.println(\"Hibernate Exception\" + e.getMessage());\n throw new RuntimeException(e);\n } /\n Regardless of whether the above processing resulted in an Exception\n * or proceeded normally, we want to close the Hibernate session. When\n * closing the session, we must allow for the possibility of a Hibernate\n * Exception.\n \n / finally {\n if (session != null) {\n try {\n session.close();\n } catch (HibernateException e) {\n System.err.println(\"Hibernate Exception\" + e.getMessage());\n throw new RuntimeException(e);\n }\n\n }\n }\n if (results.isEmpty()) {\n return null;\n } else {\n return (Department) results.get(0);\n }\n\n }", "@Override\n\tpublic Optional<Department> findDepartmentById(Integer id) {\n\t\treturn departmentRepository.findById(id);\n\t}", "public Department getSingleDepartment(String department) {\n\n /\n Use the ConnectionFactory to retrieve an open\n * Hibernate Session.\n \n /\n Session session = ConnectionFactory.getInstance().getSession();\n List results = null;\n try {\n\n results = session.find(\"from Department as department where department.department = ?\",\n new Object[]{department},\n new Type[]{Hibernate.STRING});\n\n\n\n } /\n If the object is not found, i.e., no Item exists with the\n * requested id, we want the method to return null rather\n * than throwing an Exception.\n \n / catch (ObjectNotFoundException onfe) {\n return null;\n } catch (HibernateException e) {\n /\n All Hibernate Exceptions are transformed into an unchecked\n * RuntimeException. This will have the effect of causing the\n * user's request to return an error.\n \n /\n System.err.println(\"Hibernate Exception\" + e.getMessage());\n throw new RuntimeException(e);\n } /\n Regardless of whether the above processing resulted in an Exception\n * or proceeded normally, we want to close the Hibernate session. When\n * closing the session, we must allow for the possibility of a Hibernate\n * Exception.\n \n / finally {\n if (session != null) {\n try {\n session.close();\n } catch (HibernateException e) {\n System.err.println(\"Hibernate Exception\" + e.getMessage());\n throw new RuntimeException(e);\n }\n\n }\n }\n if (results.isEmpty()) {\n return null;\n } else {\n return (Department) results.get(0);\n }\n\n }", "public Department getById(long id) {\n\t return entityManager.find(Department.class, id);\n\t }", "public Department getDepartmentById(int id) {\n return this.dsl\n .selectFrom(DEPARTMENT)\n .where(DEPARTMENT.ID.eq(id))\n .fetchOne()\n .into(Department.class);\n }", "public ArrayList<Empleado> getEmpleadosDepartamento(String idDept) {\r\n\t\tArrayList<Empleado> e = new ArrayList<Empleado>();\r\n\t\tfor (int i=0; i<empleados.size(); i++) {\r\n\t\t\tif (empleados.get(i).getDepartamentoId().equals(idDept))\r\n\t\t\t\te.add(empleados.get(i));\r\n\t\t}\r\n\t\tif (e.size()>0) return e;\r\n\t\treturn controlador.getEmpleadosDepartamento(getEmpleadoActual().getEmplId(),idDept);\r\n\t}", "@Override\n\tpublic GappDepartment getDepartmentId(Integer id) {\n\t\treturn entityManager.find(GappDepartment.class, id);\n\t\t// return entityManager.createQuery(\"from GappUsers\",\n\t\t// GappUsers.class).getResultList();\n\t}", "public ResultSet getDepartmentByID(int dept_no);", "public IBaseDTO getDepartment(String id) {\n\t\tIBaseDTO dto=new DynaBeanDTO();\n\t\tSysDepartment sd=(SysDepartment)dao.loadEntity(SysDepartment.class,id);\n\t\t\n\t\tdto.set(\"id\",sd.getId());\n\t\tdto.set(\"name\",sd.getName());\n\t\tdto.set(\"parentId\",sd.getParentId());\n\t\tdto.set(\"remark\",sd.getRemarks());\n\t\tdto.set(\"tagShow\",sd.getTagShow());\n\t\tdto.set(\"admin\",sd.getAdmin());\n\t\treturn dto;\n\t}", "public Department showDepById(int id)\n\t\t\tthrows ClassNotFoundException, FileNotFoundException, SQLException, IOException {\n\t\tConnection connection = jdbcUtils.connect();\n\t\tDepartment department = new Department();\n\t\t// Create a statement object\n\t\tString sql = \"SELECT * FROM Department WHERE DepartmentId = ?\";\n\t\tPreparedStatement preparedStatement = connection.prepareStatement(sql);\n\n\t\t// set parameter\n\t\tpreparedStatement.setInt(1, id);\n\n\t\t// Step 4: execute query\n\t\tResultSet resultSet = preparedStatement.executeQuery();\n\n\t\t// Step 5: handling result set\n\t\tif (resultSet.next()) {\n\t\t\tSystem.out.println((\"DepartmentID: \" + resultSet.getInt(\"DepartmentId\") + \" //\" + \" DepartmentName: \"\n\t\t\t\t\t+ resultSet.getString(\"DepartmentName\")));\n\t\t\treturn department;\n\n\t\t} else {\n\t\t\tSystem.out.println(\"Cannot find department which has id = \" + id);\n\t\t}\n\t\tjdbcUtils.disconnect();\n\t\treturn department;\n\t}", "public ResultSet getDepartmentByName(String dept_name);", "public static List<Employee> getListEmployeeofDe(String idD) throws ParserConfigurationException {\n List<Employee> listEmployees = new ArrayList<>();\n String filePath = \"src/task2/employee.xml\";\n File file = new File(filePath);\n DocumentBuilderFactory docFactory = DocumentBuilderFactory.newInstance();\n DocumentBuilder docBuilder;\n\n try {\n docBuilder = docFactory.newDocumentBuilder();\n Document doc = docBuilder.parse(file);\n doc.getDocumentElement().normalize();\n NodeList nodeList = doc.getElementsByTagName(\"employee\");\n for (int i = 0; i < nodeList.getLength(); i++) {\n Employee epl = getEmployee(nodeList.item(i));\n if(epl.idDepartment.equalsIgnoreCase(idD)){\n listEmployees.add(getEmployee(nodeList.item(i)));\n }\n \n }\n return listEmployees;\n } catch (ParserConfigurationException \| SAXException \| IOException e) {\n System.out.println(\"Error: \" + e.getMessage());\n }\n return null;\n }", "public static List getDeptList() \n {\n session=SessionFact.getSessionFact().openSession();\n List li=session.createQuery(\"select department from Alumni_data group by department\").list();\n session.close();\n return li;\n }", "List<Seller> findByDepartment(Department department);", "List<Seller> findByDepartment(Department department);", "public Department findDepartment(Department department) {\n\t\treturn (Department)getHibernateTemplate().find(String.valueOf(department.getIdDepartment())).get(0);\n\t}", "public List<Department> getAll() {\n\t\tList<Department> result = new ArrayList<Department>();\n\t\tString query =\"Select * from departments\";\n\t\tStatement stmt = null;\n\t\tResultSet rs = null;\n\t\ttry {\n\t\t\tstmt = con.createStatement();\n\t\t\trs = stmt.executeQuery(query);\n\t\t\t\n\t\t\twhile(rs.next()) {\n\t\t\t\tDepartment dept =new Department();\n\t\t\t\tdept.setDepartmentId(rs.getInt(\"department_id\"));\n\t\t\t\tdept.setDepartmentName(rs.getString(\"department_name\"));\n\t\t\t\tdept.setLocationId(rs.getString(\"location_id\"));\n\t\t\t\tdept.setManagerId(rs.getString(\"manager_id\"));\n\t\t\t\t\n\t\t\t\tresult.add(dept);\n\t\t\t}\n\t\t}catch (SQLException e){\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn result;\n\t}", "public Department findOne(long departmentId){\n\t\treturn departmentRepository.findOne(departmentId);\n\t}", "@RequestMapping(\"/select.do\")\r\n\t@ResponseBody\r\n\tpublic JsonResult selectDept(String deptId){\n\t\tList<Department> list = deptService.selectDept(deptId);\r\n\t\treturn new JsonResult(list);\r\n\t}", "Dept findByDeptId(Long deptId);", "public DepartmentModel findUserByDeptId( Long userId);", "public List<Employee> getEmployeeByDeptNo(int deptNo) {\n\n\t\tif (deptNo % 2 == 0) {\n\t\t\treturn getEmpByDeptNo(deptNo, \"doB\");\n\n\t\t}\n\n\t\treturn getEmpByDeptNo(deptNo, \"doJ\");\n\t}", "@Override\r\n\tpublic List<Department> getDepartmentByName(String name) {\n\t\tString hql = \"from Department d where d.name =?\";\r\n\t\treturn (List<Department>) getHibernateTemplate().find(hql, name);\r\n\t}", "@Override\n\tpublic List<StaffDTO> getStaffList(int store_id) throws Exception {\n\t\treturn dao.listAll(store_id);\n\t}", "@GET\r\n\t@Path(\"{id}\")\r\n\t@Produces(\"application/JSON\")\r\n\tpublic ZooStaff getStaffById(@PathParam(\"id\")int id) {\r\n\t\treturn service.getStaffById(id);\r\n\t}", "Collection<User> getStaffs() throws DataAccessException;", "@Override\n public Department getDepartment(int departmentId) {\n return null;\n }", "public List<Department> findAll(){\n\t\treturn departmentRepository.findAll();\n\t}", "public List<Department> getAllDepartments() {\n return this.departmentDao.findAll();\n }", "public List<GLJournalApprovalVO> getDepartmentfromuniquecode(String OrgId, String ClientId,\n String deptId) {\n String sqlQuery = \"\";\n PreparedStatement st = null;\n ResultSet rs = null;\n List<GLJournalApprovalVO> list = null;\n try {\n list = new ArrayList<GLJournalApprovalVO>();\n sqlQuery = \" select f.c_salesregion_id,sal.name from fact_acct f join c_salesregion sal on sal.c_salesregion_id = f.c_salesregion_id WHERE f.AD_ORG_ID IN (\"\n + OrgId + \") \" + \" AND f.AD_CLIENT_ID IN (\" + ClientId\n + \") AND f.em_efin_uniquecode IN ('\" + deptId\n + \"') and f.c_bpartner_id is not null and f.c_salesregion_id is not null and f.c_project_id is not null and f.c_campaign_id is not null and f.c_activity_id is not null and f.user1_id is not null and f.user2_id is not null limit 1\";\n st = conn.prepareStatement(sqlQuery);\n rs = st.executeQuery();\n while (rs.next()) {\n GLJournalApprovalVO VO = new GLJournalApprovalVO();\n VO.setId(rs.getString(1));\n VO.setName(rs.getString(2));\n list.add(VO);\n }\n } catch (Exception e) {\n log4j.error(\"Exception in getOrgs()\", e);\n }\n return list;\n }", "public Employee SearchEmployee(int idEmployee)\n\t{\n\t\tfor(int i = 0; i < departments.size() ; i++)\n\t\t{\n\t\t\tfor(Employee emp : departments.get(i).getEmployeeList())\n\t\t\t{\n\t\t\t\tif(emp.getIdEmployee()==idEmployee) return emp;\n\t\t\t}\n\t\t}\n\t\treturn null;\n\t}", "@Override\r\n\tpublic List<Department> getAllDepartments() {\n\t\treturn deptRepo.findAll();\r\n\t}", "@Override\n\tpublic DeptInf findDeptById(Integer id) {\n\t\treturn deptMapper.selectByPrimaryKey(id);\n\t}", "@Override\npublic List<Department> queryForEmp() {\n\treturn departmentMapper.queryForEmp();\n}", "@Override\r\n\tpublic List<Department> getAllDepartment() {\n\t\tString hql = \"from Department\";\r\n\t\treturn (List<Department>) getHibernateTemplate().find(hql);\r\n\t}", "@GetMapping(\"/company-departments/{id}\")\n @Timed\n public ResponseEntity<CompanyDepartment> getCompanyDepartment(@PathVariable Long id) {\n log.debug(\"REST request to get CompanyDepartment : {}\", id);\n CompanyDepartment companyDepartment = companyDepartmentRepository.findOne(id);\n return Optional.ofNullable(companyDepartment)\n .map(result -> new ResponseEntity<>(\n result,\n HttpStatus.OK))\n .orElse(new ResponseEntity<>(HttpStatus.NOT_FOUND));\n }", "public List<Department> selectDepartmentList(int stationID, int page) {\n\t\treturn centerDictionaryMaintainService.selectDepartmentList(stationID, page);\n\t}", "@GetMapping(\"/{id}\")\n public ResponseTemplateVO getUserWithDepartment(@PathVariable(\"id\")\n Long studentId){\n return studentService.getUserWithDepartment(studentId);\n }", "@Override\r\n\tpublic List<Account> getAccountsByDeptId(int deptId) {\n\t\treturn this.accountMapper.selectAccountsByDeptId(deptId);\r\n\t}", "public List<StaffDTO> findByiDNumber(String iDNumber);", "@Override\r\n public Dept deptDetailList(int dept_seq) {\n return sqlSession.selectOne(\"deptDAO.deptDetailList\", dept_seq);\r\n }", "private List<Department> pamDepts(Long deptId) {\n \n PersistenceManager pm = PMF.get().getPersistenceManager();\n depts = new ArrayList<Department>();\n // add primary dept\n Department dPrimary = pm.getObjectById(Department.class, deptId);\n depts.add(dPrimary); \n // primary dept's mutual aid depts\n String dMutualAid = dPrimary.getmutualAid();\n if (dMutualAid.length() != 0) {\n \n if (dMutualAid.contains(\",\")) {\n String[] maDepts = dMutualAid.split(\", \", -1);\n for (int i=0; i< maDepts.length; i++) {\n Long maDeptId = Long.valueOf(maDepts[i]);\n Department dMAs = pm.getObjectById(Department.class, maDeptId);\n if (dMAs != null) {\n depts.add(dMAs);\n }\n }\n } else {\n Department dMAsolo = pm.getObjectById(Department.class, Long.valueOf((dMutualAid).trim()));\n if (dMAsolo != null) {\n depts.add(dMAsolo);\n }\n }\n } \n System.out.println(\"Depts Qty: \" + depts.size());\n System.out.println(\"Exit: pamDepts\");\n return depts;\n }", "@Override\n\tpublic Employee findById(int id) {\n\t\tList<Employee> employeeList= \n\t\tlistEmployee().stream().filter((e -> e.getId()==id)).collect(Collectors.toList());\n\t\t\n\t\treturn (Employee)employeeList.get(0);\n\t}", "public List<Department> getAllDepartments()\n\t\t{\n\t\t\treturn departmentRepository.findAll();\n\t\t}", "public Department getID(int id) {\n\t\tDepartment deptr = new Department();\n\t\tString query =\"Select * from departments where department_id=\"+id;\n\t\tStatement stmt = null;\n\t\tResultSet rs = null;\n\t\ttry {\n\t\t\t\n\t\t\tstmt = con.createStatement();\n\t\t\trs = stmt.executeQuery(query);\n\t\t\t\n\t\t\twhile(rs.next()) {\n\t\t\t\t\n\t\t\t\tdeptr.setDepartmentId(rs.getInt(\"department_id\"));\n\t\t\t\tdeptr.setDepartmentName(rs.getString(\"department_name\"));\n\t\t\t\tdeptr.setLocationId(rs.getString(\"location_id\"));\n\t\t\t\tdeptr.setManagerId(rs.getString(\"manager_id\"));\n\t\t\t\t\n\t\t\t\t\n\t\t\t}\n\t\t}catch (SQLException e){\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn deptr;\n\t}", "public Faculty getFacultyById(String id) {\r\n\t\tFaculty f = null;\r\n\t\tfor(int i = 0; i < facultyDirectory.size(); i++) {\r\n\t\t\tif(facultyDirectory.get(i).getId().equals(id)) {\r\n\t\t\t\tf = facultyDirectory.get(i);\r\n\t\t\t}\r\n\t\t}\r\n\t\treturn f;\r\n\t}", "public ResponseEntity<BasicApiResponse<DepartmentResponse>> getDepartmentById(Long departmentId) {\n Optional<DepartmentModel> departmentModelOptional = departmentRepository.findById(departmentId);\n\n //Checking if the Department is available\n if(departmentModelOptional.isPresent()){\n //If department found\n DepartmentModel departmentModel = departmentModelOptional.get();\n\n DepartmentResponse departmentResponse = new DepartmentResponse(departmentModel.getId(),\n departmentModel.getName(), departmentModel.getActive());\n\n return new ResponseEntity<>(new BasicApiResponse<>(200,\"Department Found\",departmentResponse),\n HttpStatus.OK);\n }\n else {\n //If No department found\n throw new ResponseStatusException(HttpStatus.NOT_FOUND, \"No Department found with ID: \" + departmentId);\n }\n }", "public String getDepartmentid() {\n return departmentid;\n }", "public Optional<Department> getDepartmentId(long departmentId) {\n\t\treturn departmentRepository.findById(departmentId);\n\t}", "@RequestMapping(path = \"/listaContactoDepartamento/{idDepartamento}\", method = RequestMethod.GET)\r\n\tpublic List<ContactoDepartamento> listaContactoDepartamentos(\r\n\t\t\t@PathVariable(\"idDepartamento\") final long idDepartamento) {\r\n\t\tfinal Departamento departamento = departamentoService.findById(idDepartamento);\r\n\t\treturn contactoDepartamentoService.findByDepartamento(departamento);\r\n\t}", "@Override\n\tpublic List<?> selectDepartment() throws Exception {\n\t\treturn deptMapperr.selectDepartment();\n\t}", "public void setDepartmentid(Integer departmentid) {\n this.departmentid = departmentid;\n }", "public void setDepartmentid(Integer departmentid) {\n this.departmentid = departmentid;\n }", "@GetMapping(\"/staff\")\n\tpublic List<Staff> getStuedents() {\n\t\treturn staffService.getStaffs();\n\t}", "public int getDepartmentId() {\n return departmentId;\n }", "@Override\n\tpublic Department fetchByPrimaryKey(long departmentId)\n\t\tthrows SystemException {\n\t\treturn fetchByPrimaryKey((Serializable)departmentId);\n\t}", "@Override\r\n public List<Dept> deptList() {\n return sqlSession.selectList(\"deptDAO.deptList\");\r\n }", "Department findByShortName(String name);", "@Override\n\tpublic List<UserStaffDTO> readStaffByUserId(int user_id) throws Exception {\n\t\treturn dao.readStaffByUserId(user_id);\n\t}", "public BaseDepartment findById(Long id) throws Exception {\n\t\tString hql = \"FROM BaseDepartment dp WHERE dp.pkDeptId=?\";\n\t\tObject[] values = {\n\t\t\t\tid\n\t\t};\n\t\ttry {\n\t\t\tList list = this.find(hql, values);\n\t\t\tif(list != null && list.size() > 0 && list.get(0) != null){\n\t\t\t\treturn (BaseDepartment)list.get(0);\n\t\t\t}\n\t\t} catch (Exception e) {\n\t\t\te.printStackTrace();\n\t\t}\n\t\treturn null;\n\t}", "@RequestMapping(\"/departments/{departmentId}\")\n\tpublic ModelAndView departmentHandler(@PathVariable(\"departmentId\") int departmentId) {\n\n\t\tString viewName = \"departments/show\";\n\t\tModelAndView mav = new ModelAndView(viewName);\n\t\tmav.addObject(this.company.loadDepartment(departmentId));\n\n\t\tlogger.info(\"departmentHandler(): departmentId[\" + departmentId + \"], viewName[\" + viewName + \"]\");\n\t\treturn mav;\n\t}", "public List<User> searchUserList(Long deptId, String keyword,Long orgId) {\n\t\treturn userMapper.searchUserList(deptId, keyword,orgId);\r\n\t}", "public ArrayList<Employee> getEmployees(String nameDepartment)\n\t{\n\t\tfor(Department depart : departments)\n\t\t{\n\t\t\tif(depart.getNameDepartment().equals(nameDepartment)) return depart.getEmployeeList();\n\t\t}\n\t\treturn null;\n\t}", "public void setDepartmentId(Integer departmentId) {\n this.departmentId = departmentId;\n }", "public void setDepartmentId(Integer departmentId) {\n this.departmentId = departmentId;\n }", "public void setDepartmentId(Integer departmentId) {\n this.departmentId = departmentId;\n }", "@Test\n\tvoid testGetDepartmentsByCrit() {\n\t\tDepartmentDAO ddao = new DepartmentDAO();\n\t\tList<Department> ls = ddao.getDepartmentsByCrit();\n\t\tIterator<Department> it = ls.iterator();\n\n\t\twhile (it.hasNext()) {\n\t\t\tDepartment dpt = it.next();\n\t\t\tSystem.out.println(dpt.getDepartment_name() + \" \" + dpt.getLocation_id() + \" \" + dpt.getManager_id());\n\t\t}\n\t\t// assertEquals(203, ls.get(0).getManager_id());\n\t}", "public static void listDept() {\n\t\t// loop thru all department obj of the deptInfo list\n\t\tfor (Department dept : deptInfo) {\n\t\t\tSystem.out.println(dept.getDeptId() + dept.getDeptName() + dept.getDeptPhoneNum());\n\t\t}\n\t}", "public List<Duty> selectDutyList(int departmentID, int page) {\n\t\treturn centerDictionaryMaintainService.selectDutyList(departmentID, page);\n\t}", "public void setDepartmentId(Long departmentId) {\n this.departmentId = departmentId;\n }", "public void setDepartmentId(Long departmentId) {\n this.departmentId = departmentId;\n }", "public void setDepartmentId(Long departmentId) {\n this.departmentId = departmentId;\n }", "@WebMethod\n public List<Employee> getEmployeesInSpecificDepartment(@WebParam(name = \"arg0\") int dep_id) {\n Connection conn = null;\n List<Employee> emplyeeList = new ArrayList<Employee>();\n try {\n conn = EmpDBUtil.getConnection();\n PreparedStatement pStmt = conn.prepareStatement(\"select * from EMPLOYEES where DEPARTMENT_ID = ?\");\n pStmt.setInt(1, dep_id);\n ResultSet rSet = pStmt.executeQuery();\n while (rSet.next()) {\n Employee emp = new Employee();\n emp.setEmployee_id(rSet.getInt(\"EMPLOYEE_ID\"));\n emp.setFirst_name(rSet.getString(\"FIRST_NAME\"));\n emp.setLast_name(rSet.getString(\"LAST_NAME\"));\n emp.setEmail(rSet.getString(\"EMAIL\"));\n emp.setPhone_number(rSet.getString(\"PHONE_NUMBER\"));\n emp.setHire_date(rSet.getDate(\"HIRE_DATE\"));\n emp.setJop_id(rSet.getString(\"JOB_ID\"));\n emp.setSalary(rSet.getInt(\"SALARY\"));\n emp.setCommission_pct(rSet.getDouble(\"COMMISSION_PCT\"));\n emp.setManager_id(rSet.getInt(\"MANAGER_ID\"));\n emp.setDepartment_id(rSet.getInt(\"DEPARTMENT_ID\"));\n\n emplyeeList.add(emp);\n \n }\n \n System.out.println(\"done\");\n } catch (SQLException e) {\n e.printStackTrace();\n } finally {\n EmpDBUtil.closeConnection(conn);\n }\n\n return emplyeeList;\n }", "@GET\r\n\t@Produces(\"application/JSON\")\r\n\tpublic List<ZooStaff> getAllStaffs(){\r\n\t\treturn service.getAllStaffs();\r\n\t}", "List<Patient> findPatients(Employee nurse_id);", "private List<Department> getDepartments()\n\t\t\tthrows FileNotFoundException, ClassNotFoundException, IOException, SQLException {\n\t\tList<Department> departments = new ArrayList<Department>();\n\t\tStatement statement = connection.createStatement();\n\t\tString sql = \"SELECT * FROM Department\";\n\t\tResultSet resultSet = statement.executeQuery(sql);\n\t\twhile (resultSet.next()) {\n\t\t\tDepartment department = new Department();\n\t\t\tdepartment.setId(resultSet.getInt(\"DepartmentId\"));\n\t\t\tdepartment.setName(resultSet.getString(\"DepartmentName\"));\n\t\t\tdepartments.add(department);\n\t\t}\n\t\treturn departments;\n\n\t}", "public Long getDepartmentId() {\n return departmentId;\n }", "public Long getDepartmentId() {\n return departmentId;\n }", "public Long getDepartmentId() {\n return departmentId;\n }", "public Doctor findById(int id);", "public interface DeptService {\n\n List<Department> query();\n\n void saveOrUpdate(Department department);\n\n List<Department> findByDeptId(Department department);\n\n}", "public List<CourseObject> GetAllDepartmentCourses(int dept_id){\r\n String sql = \"SELECT * FROM COURSE WHERE DEPARTMENT_ID = ?\";\r\n List<CourseObject> courseObjectList = null;\r\n try{\r\n courseObjectList = jdbcTemplate.query(sql,new Object[]{dept_id},new BeanPropertyRowMapper(CourseObject.class));\r\n }catch (Exception e){\r\n e.printStackTrace();\r\n }\r\n return courseObjectList;\r\n }", "public List<LabelValueBean> getUserListByDep(String id) {\n\t\tSysDepartment sd=(SysDepartment)dao.loadEntity(SysDepartment.class,id);\n\t\tif(sd==null)\n\t\t\treturn null;\n\t\tList<LabelValueBean> userList=new ArrayList<LabelValueBean>();\n\t\tIterator<SysUser> i=sd.getSysUsers().iterator();\n\t\twhile(i.hasNext())\n\t\t{\n\t\t\tLabelValueBean lvb=new LabelValueBean();\n\t\t\tSysUser su=i.next();\n\t\t\tlvb.setLabel(su.getUserName());\n\t\t\tlvb.setValue(su.getUserId());\n\t\t\tuserList.add(lvb);\n\t\t}\n\t\treturn userList;\n\t}" ]	[ "0.6986989", "0.6940519", "0.6800933", "0.67832875", "0.6742081", "0.66648805", "0.6634229", "0.6550152", "0.6527839", "0.65273064", "0.6499574", "0.6427659", "0.633131", "0.6298424", "0.6237901", "0.62272274", "0.6185452", "0.61708903", "0.61676216", "0.6150679", "0.6142695", "0.61420375", "0.6094656", "0.6094042", "0.6067982", "0.60469997", "0.60430866", "0.6034763", "0.60133004", "0.6006118", "0.6003557", "0.6003557", "0.59249914", "0.59118086", "0.5891873", "0.58792275", "0.5870179", "0.5862433", "0.5858397", "0.5857428", "0.5844153", "0.5829809", "0.5818617", "0.5809826", "0.5804517", "0.57723737", "0.57704055", "0.5768446", "0.5764763", "0.57632464", "0.5763174", "0.5759928", "0.57536244", "0.57473004", "0.5740025", "0.5737696", "0.57213795", "0.57200664", "0.571924", "0.57139474", "0.5704793", "0.5697926", "0.5676378", "0.5668364", "0.56631494", "0.5646075", "0.5632251", "0.56221485", "0.56182146", "0.56182146", "0.5599601", "0.55846226", "0.5557821", "0.5556323", "0.55560994", "0.55515414", "0.5539585", "0.5533273", "0.55282825", "0.5523491", "0.55020463", "0.55020463", "0.55020463", "0.54965174", "0.54909724", "0.54876584", "0.54825145", "0.54825145", "0.54825145", "0.5479998", "0.54767746", "0.547658", "0.54739094", "0.54714185", "0.54714185", "0.54714185", "0.5470861", "0.5460495", "0.5449083", "0.5438496" ]	0.78929836	0
Total salary of staff in specific department id given by this method.	@GetMapping("/department/{deptId}/totalSalary") public Long getSalaryTotalByDepartment(@PathVariable("deptId") int deptId) { return staffService.getSalaryTotalByDepartment(deptId); }	{ "objective": { "self": [], "paired": [], "triplet": [ [ "query", "document", "negatives" ] ] } }	[ "@Override\n\tpublic void computeSalary(int empid) {\n\t\t\n\t}", "public void calculateSalary() ;", "@Override\n\tpublic float CalculateSalary() {\n\t\treturn salary;\n\t}", "public void getSalary() {\n this.payDay(this.monthlyIncome);\n }", "public void salary(int sal)\n {\n IT it = new IT();\n it.salary(sal);\n System.out.println(\"ECE Faculty: \"+(sal+4500));\n }", "public void initSalarys() {\n\t\tList ls = departmentServiceImpl.findAll(Employees.class);\n\t\temployeesList = ls;\n\t\temployeesList = employeesList.stream().filter(fdet -> \"0\".equalsIgnoreCase(fdet.getActive()))\n\t\t\t\t.collect(Collectors.toList());\n\t\ttotalSalary = new BigDecimal(0);\n\t\ttotalSalaryAfter = new BigDecimal(0);\n\n\t\tif (conId != null) {\n\t\t\temployeesList = new ArrayList<Employees>();\n\t\t\tcon = new Contracts();\n\t\t\tcon = (Contracts) departmentServiceImpl.findEntityById(Contracts.class, conId);\n\t\t\tList<ContractsEmployees> empIds = departmentServiceImpl.loadEmpByContractId(conId);\n\t\t\tfor (ContractsEmployees id : empIds) {\n\t\t\t\tEmployees emp = (Employees) departmentServiceImpl.findEntityById(Employees.class, id.getEmpId());\n\t\t\t\temployeesList.add(emp);\n\t\t\t\temployeesList = employeesList.stream().filter(fdet -> \"0\".equalsIgnoreCase(fdet.getActive()))\n\t\t\t\t\t\t.collect(Collectors.toList());\n\t\t\t}\n\n\t\t}\n\n\t\tif (enterpriseAdd != null && enterpriseAdd.size() > 0) {\n\t\t\tList<Employees> empAllList = new ArrayList<>();\n\t\t\tfor (String entId : enterpriseAdd) {\n\t\t\t\t// enterpriseId = Integer.parseInt(entId);\n\t\t\t\tList<Employees> empList = employeesList.stream()\n\t\t\t\t\t\t.filter(fdet -> fdet.getEnterpriseId().equals(Integer.parseInt(entId)))\n\t\t\t\t\t\t.collect(Collectors.toList());\n\t\t\t\tif (empList != null && empList.size() > 0) {\n\t\t\t\t\tempAllList.addAll(empList);\n\t\t\t\t}\n\t\t\t}\n\n\t\t\temployeesList = empAllList;\n\t\t}\n\n//\t\tif (employeesList != null && employeesList.size() > 0) {\n//\t\t\tlistTotalSum = employeesList.stream().filter(fdet -> fdet.getSalary() != 0.0d)\n//\t\t\t\t\t.mapToDouble(fdet -> fdet.getSalary()).sum();\n//\t\t\ttotalSalary = new BigDecimal(listTotalSum).setScale(3, RoundingMode.HALF_UP);\n\t\t// totalSalaryAfter = totalSalary;\n//\t\t\tSystem.out.println(\"\" + totalSalary);\n//\n//\t\t}\n\t\tif (con != null) {\n\t\t\tloadSalaries();\n\t\t}\n\n//\t\tls = departmentServiceImpl.findAll(Enterprise.class);\n//\t\tenterpriseList = ls;\n\t}", "public void salary(int sal)\n {\n Faculty fac = new Faculty();\n fac.salary(sal);\n System.out.println(\"CSE Faculty: \"+(sal+3000));\n }", "public int getSalary()\n\n\t{\n\t\treturn salary;\n\t}", "public static void saving(int sum, String id, String department) {\r\n\t\tarrays = ReadingAndWritingInFile.readObject(department.concat(\"Department.txt\"));\r\n\t\taverageandidofemployees = (ArrayList<ArrayList<Double>>) arrays[0];\r\n\t\tdegreespersemester = (ArrayList<ArrayList<Double>>) arrays[1];\r\n\t\tidperemployee = (ArrayList<Double>) arrays[2];\r\n\t\taverageandidofemployees.add(new ArrayList<Double>());\r\n\t\tint row = averageandidofemployees.size();\r\n\t\taverageandidofemployees.get(row - 1).add(0, sum * 0.1);\r\n\t\taverageandidofemployees.get(row - 1).add(1, Double.parseDouble(id));\r\n\t\tReadingAndWritingInFile.writeObject(department.concat(\"Department.txt\"), averageandidofemployees,\r\n\t\t\t\tdegreespersemester, idperemployee);\r\n\t}", "int getSalary();", "@Override\r\n public int calculateSalary()\r\n {\r\n return weeklySalary4;\r\n }", "public void salary(int sal)\n {\n CSE cse = new CSE();\n cse.salary(sal);\n System.out.println(\"IT Faculty: \"+(sal+5000));\n }", "@Override\n public double calculateSalary(){\n return this.horas_trabajadasEmployeeByHours.VALOR_HORA;\n }", "@Override\n\tpublic int calculateSalary() {\n\t\treturn this.getPaymentPerHour() * this.workingHours;\n\t}", "public int getSalary() {\n return salary;\n }", "@Override\n\tpublic int updateStaff(int staff_id) throws Exception {\n\t\treturn dao.update(staff_id);\n\t}", "public double getSalary() {\r\n return salary;\r\n }", "public double getSalary() {\r\n\t\treturn this.salary;\r\n\t}", "public abstract double salary();", "@Override\r\n public double getSalary() {\r\n return salary;\r\n }", "public double getSalary() {\n\t\treturn salary;\n\t}", "public double getSalary() {\n return salary;\n }", "public double getSalary() {\n return salary;\n }", "public double getSalary() {\n return salary;\n }", "public int getSalary () {\n return salary;\n }", "public void setDepartmentid(Integer departmentid) {\n this.departmentid = departmentid;\n }", "public void setDepartmentid(Integer departmentid) {\n this.departmentid = departmentid;\n }", "@Override\n public double getAnnualSalary() {\n return super.getAnnualSalary() + 10000;\n }", "public static void main(String[] args) {\n\t\tScanner myScan = new Scanner(System.in);\r\n\t\tString strAns, empName;\r\n\t\tdouble sumSalaries=0;\r\n\t\tboolean found=false;\r\n\t\tDeptEmployee[ ] department = new DeptEmployee [6];\r\n\t\tGregorianCalendar hired;\r\n\t\t\r\n\t\t//Professors\r\n\t\thired = new GregorianCalendar(1973,1,1);\r\n\t\tProfessor prof1 = new Professor(\"Joseph\",200000,hired.getTime(),10);\r\n\t\thired = new GregorianCalendar(2019,5,1);\r\n\t\tProfessor prof2 = new Professor(\"Carlos\",150000,hired.getTime(),10);\r\n\t\thired = new GregorianCalendar(2019,6,1);\r\n\t\tProfessor prof3 = new Professor(\"Mauricio\",100000,hired.getTime(),10);\r\n\t\t\r\n\t\t//Secretaries\r\n\t\thired = new GregorianCalendar(1973,1,1);\r\n\t\tSecretary sec1 = new Secretary(\"Lina\",50000,hired.getTime(),200);\r\n\t\thired = new GregorianCalendar(1998,5,1);\r\n\t\tSecretary sec2 = new Secretary(\"Lucy\",55000,hired.getTime(),200);\r\n\t\t\r\n\t\t//Administrators\r\n\t\thired = new GregorianCalendar(1973,1,1);\r\n\t\tAdministrator admin1 = new Administrator(\"Monica\",180,hired.getTime(),160);\r\n\t\t\r\n\t\t//Populate array\r\n\t\tdepartment[0] = prof1;\r\n\t\tdepartment[1] = prof2;\r\n\t\tdepartment[2] = prof3;\r\n\t\tdepartment[3] = sec1;\r\n\t\tdepartment[4] = sec2;\r\n\t\tdepartment[5] = admin1;\r\n\t\t\r\n\t\tSystem.out.println(\"Do you want to see the sum of salaries in department? (Y/N)\");\r\n\t\tstrAns = myScan.next();\r\n\t\tif (strAns.equalsIgnoreCase(\"Y\")) {\r\n\t\t\tfor (DeptEmployee e : department) \r\n\t\t\t\tsumSalaries += e.computeSalary();\r\n\t\t\tSystem.out.println(\"Sum of department salaries is: \"+sumSalaries);\r\n\t\t}\r\n\t\t\r\n\t\tSystem.out.println(\"Do you want to locate an employee in department? (Y/N)\");\r\n\t\tstrAns = myScan.next();\r\n\t\tif (strAns.equalsIgnoreCase(\"Y\")) {\r\n\t\t\tSystem.out.println(\"Enter the employee name:\");\r\n\t\t\tstrAns = myScan.next();\r\n\t\t\t\r\n\t\t\tfor (DeptEmployee e : department) {\r\n\t\t\t\tempName=e.getName();\r\n\t\t\t\tif (strAns.equals(e.getName())) {\r\n\t\t\t\t\tfound = true;\r\n\t\t\t\t\tSystem.out.println(e);\r\n\t\t\t\t\tbreak;\r\n\t\t\t\t}\r\n\t\t\t}\r\n\t\t\tif (!found) {\r\n\t\t\t\tSystem.out.printf(\"The employee %s doesn't exists in department\",strAns);\r\n\t\t\t}\r\n\t }\r\n\t}", "public String getSalary() {\n return salaryField.getText();\n }", "@GetMapping(\"/department/{deptId}/staff\")\n\tpublic List<Staff> getStaffByDepartment(@PathVariable(\"deptId\") int deptid) {\n\t\treturn staffService.getStaffByDepartment(deptid);\n\t}", "public String getSalary() {\n return salary;\n }", "public String getSalary() {\n return salary;\n }", "public void updateEmployeeSalary(String salary, int id) {\n\n\t\tif (!salary.isEmpty()) {\n\t\t\tif (Integer.parseInt(salary) <= 0) {\n\t\t\t\tthrow new NoDataFoundException(\"Employee\");\n\t\t\t}\n\t\t}else {\n\t\t\tthrow new NoDataFoundException(\"Employee\");\n\t\t}\n\t\temployeeRepository.updateSalary(salary, id);\n\n\t}", "public void setDepartmentId(Long departmentId) {\n this.departmentId = departmentId;\n }", "public void setDepartmentId(Long departmentId) {\n this.departmentId = departmentId;\n }", "public void setDepartmentId(Long departmentId) {\n this.departmentId = departmentId;\n }", "public Integer getDepartmentid() {\n return departmentid;\n }", "public Integer getDepartmentid() {\n return departmentid;\n }", "public String getSalary() {\r\n\t\t//the base salary starts at $40,000\r\n\t\tint baseSalary = 40000;\r\n\t\t//The slary increases each year by $5,000 based on the number of years doctor practices\r\n\t\tint salary = baseSalary + (years * 5000);\r\n\t\t//This turns the int into a string with a $ sign in the front\r\n\t\tString salaryString = \"$\" + Integer.toString(salary);\r\n\t\t//The salary is returned\r\n\t\treturn salaryString;\r\n\t}", "@Override\n public Employee updateEmployeeDepartment(int employeeId, int departmentId) {\n return null;\n }", "public double getSalary(){\r\n return salary;\r\n }", "public double getSalary() {\n\t\treturn super.getSalary() + (super.getSalary() * .20);\n\t}", "@Override\n\tpublic void updateEmployee(int empid, int empNewSalary) {\n\t\t\n\t}", "public float calculate_salary() {\r\n\t\tfloat calculate = 1000 + this.calculate_benefits();\r\n\t\treturn calculate;\r\n\t}", "public String getDepartmentid() {\n return departmentid;\n }", "public void setDepartmentId(Integer departmentId) {\n this.departmentId = departmentId;\n }", "public void setDepartmentId(Integer departmentId) {\n this.departmentId = departmentId;\n }", "public void setDepartmentId(Integer departmentId) {\n this.departmentId = departmentId;\n }", "public int getDepartmentId() {\n return departmentId;\n }", "@Override\r\n\tpublic void calculateSalary() {\r\n\t\t// TODO Auto-generated method stub\r\n\t\t salary = hoursWorked * hourlyWages;\r\n\t\t this.setSalary(salary);\r\n\t}", "public double showSalary() {\n return super.showSalary() * 1.2;\n }", "public void setSalary(double salary){\r\n this.salary = salary;\r\n }", "@Override\r\n\tpublic List<Employee> departmentHaveEmployee(int id) {\n\t\treturn employeedao.departmentHaveEmployee(id);\r\n\t}", "public Long getDepartmentId() {\n return departmentId;\n }", "public Long getDepartmentId() {\n return departmentId;\n }", "public Long getDepartmentId() {\n return departmentId;\n }", "public int annualSalary(){\r\n int aSalary = monthlySalary * MONTHS;\r\n return aSalary;\r\n }", "float getMonthlySalary();", "public void setSalary(double salary) {\n this.salary = salary;\n }", "public void setSalary(double salary) {\n this.salary = salary;\n }", "public void setSalary(double salary) {\r\n this.salary = salary;\r\n }", "public void setDepartmentId(int value) {\n this.departmentId = value;\n }", "@Override\n\tpublic double getSalud() {\n\t\treturn this.salud;\n\t}", "public final int getDepartmentId() {\n return departmentId;\n }", "public void salary(int sal)\n {\n System.out.println(\"Base Salary: \"+ sal);\n }", "public float getAnnualSalary()\n {\n return annualSalary;\n }", "public Integer getDepartmentId() {\n return departmentId;\n }", "public Integer getDepartmentId() {\n return departmentId;\n }", "public Integer getDepartmentId() {\n return departmentId;\n }", "public Integer costOfDepartment() {\n Integer total = 0;\n for (Manager manager :\n departmentHeads) {\n total += manager.costOfTeam();\n }\n return total;\n }", "public double salaryPay() {\n\t\treturn overtimePay() + getSalary();\n\t}", "@Override\r\n\tpublic Department getDepartmentById(int id) {\n\t\treturn getHibernateTemplate().get(Department.class, id);\r\n\t}", "@Override\n public int annualSalary() {\n int commission;\n if (getAnnualSales() * getCommissionAmount() > getMaximumCommission()) { //Checks if the commission would be over the max\n commission = (int) getMaximumCommission();\n } else {\n commission = (int) (getAnnualSales() * getCommissionAmount());\n }\n return (this.getSalary() * getMonthInYear()) + commission;\n }", "public void updateDepartment(IBaseDTO dto) {\n\t\tString id=(String)dto.get(\"id\");\n\t\tSysDepartment sd=(SysDepartment)dao.loadEntity(SysDepartment.class,id);\n\t\tif(sd!=null)\n\t\t{\n\t\t\t\n\t\t\tsd.setName((String)dto.get(\"name\"));\n\t\t\tsd.setParentId((String)dto.get(\"parentId\"));\n\t\t\tsd.setRemarks((String)dto.get(\"remark\"));\n\t\t\tsd.setTagShow((String)dto.get(\"tagShow\"));\n\t\t\tsd.setAdmin((String)dto.get(\"admin\"));\n\t\t}\n\t\tcts.reload();\n\t\tdao.saveEntity(sd);\n\t}", "public Department getDepartmentById(Integer id);", "public double getSaldo() {\r\n return saldo;\r\n }", "public double getSaldo() {\r\n return saldo;\r\n }", "public double getSaldo() {\n return saldo;\n }", "public double getSaldo() {\n return saldo;\n }", "public ID getStaffID() {\r\n\t\t\t\r\n\t\t\treturn staffID;\r\n\t\t}", "public void calculateSalary() {\n if (hours < 0 \|\| hourlyRate < 0) {\r\n salary = -1;\r\n }\r\n else if (hours > 40) {\r\n salary = 40 * hourlyRate;\r\n }\r\n else {\r\n salary = hours * hourlyRate;\r\n }\r\n }", "public String getId()\r\n {\r\n return departmentBean.getId();\r\n }", "public void setSalary(double salary) {\r\n\t\tthis.salary = salary;\r\n\t}", "@Override \n public double getPaymentAmount() \n { \n return getWeeklySalary(); \n }", "public void updateSalaryForEmployee(Integer EmployeeID, int salary) {\n\t\tSession session = factory.openSession();\n\t\tTransaction transaction = null;\n\t\ttry {\n\t\t\ttransaction = session.beginTransaction();\n\t\t\tEmployee employee = (Employee) session.get(Employee.class, EmployeeID);\n\t\t\temployee.setSalary(salary);\n\t\t\tsession.update(employee);\n\t\t\ttransaction.commit();\n\t\t} catch (HibernateException e) {\n\t\t\tif (transaction != null)\n\t\t\t\ttransaction.rollback();\n\t\t\te.printStackTrace();\n\t\t} finally {\n\t\t\tsession.close();\n\t\t}\n\t}", "@Override\n\tpublic long getEmployeeDepartmentId() {\n\t\treturn _candidate.getEmployeeDepartmentId();\n\t}", "private void processSalaryForEmployee(Epf epf, Esi esi, List<PayOut> payOuts,\r\n\t\t\tReportPayOut reportPayOut, PayrollControl payrollControl, List<LoanIssue> loanIssues, List<OneTimeDeduction> oneTimeDeductionList ) {\r\n\t\t\r\n\t\tPayRollProcessUtil util = new PayRollProcessUtil();\r\n\t\tBigDecimal netSalary = new BigDecimal(0);\r\n\t\tPayRollProcessHDDTO payRollProcessHDDTO = new PayRollProcessHDDTO();\r\n\t\t\r\n\t\tpayRollProcessHDDTO.setPayMonth(payrollControl.getProcessMonth());\r\n\t\tpayRollProcessHDDTO.setEpf(epf);\r\n\t\tpayRollProcessHDDTO.setEsi(esi);\t\r\n\t\tpayRollProcessHDDTO.setReportPayOut(reportPayOut);\r\n\t\tsetProfessionalTax(reportPayOut, payRollProcessHDDTO);\r\n\t\tList<PayRollProcessDTO> earningPayStructures = new ArrayList<PayRollProcessDTO>();\r\n\t\t\r\n\t\tDateUtils dateUtils = new DateUtils();\r\n\t\tDate currentDate = dateUtils.getCurrentDate();\r\n\t\t\r\n\t\t/List<PayStructure> payStructures = attendanceRepository\r\n\t\t\t\t.fetchPayStructureByEmployee( reportPayOut.getId().getEmployeeId(), currentDate );/\r\n\t\t\r\n\t\tlogger.info( \" reportPayOut.getId().getEmployeeId() \"+ reportPayOut.getId().getEmployeeId() );\r\n\t\t\r\n\t\tPayStructureHd payStructureHd = payStructureService.findPayStructure( reportPayOut.getId().getEmployeeId() );\r\n\t\t\r\n\t\tfor ( PayStructure payStructure : payStructureHd.getPayStructures() ) {\r\n\t\t\tif ( payStructure.getPayHead().getEarningDeduction() == null ) {\r\n\t\t\t\tPayHead payHead = payHeadService.findPayHeadById( payStructure.getPayHead().getPayHeadId() );\r\n\t\t\t\tpayStructure.setPayHead(payHead); \r\n\t\t\t}\r\n\t\t}\r\n\t\t\r\n\t\t processEarning( payOuts, reportPayOut, util, payRollProcessHDDTO, earningPayStructures, payStructureHd.getPayStructures() , payrollControl );\r\n\t\t \r\n\t\t \r\n\t\t \r\n\t\t if (earningPayStructures != null && earningPayStructures.size() > 0) {\r\n\t\t\tpayRollProcessHDDTO.setTotalGrossSalary( reportPayOut.getGrossSalary() );\r\n\t\t\tpayOuts.addAll(calcualteDeduction( payRollProcessHDDTO, reportPayOut, payrollControl, payStructureHd ,loanIssues, oneTimeDeductionList ));\r\n\t\t}\r\n\t\t \r\n\t\t\r\n\t\t \r\n\t\t if ( reportPayOut.getGrossSalary() != null ) {\r\n\t\t\t netSalary = reportPayOut.getTotalEarning().subtract( reportPayOut.getTotalDeduction() );\r\n\t\t }\r\n\t\t\r\n\t\t reportPayOut.setNetPayableAmount( netSalary );\r\n\t}", "@Override\n\tpublic double averageSalary() {\n\t\treturn 0;\n\t}", "private double calculeSalaires() {\n return salaireHoraire * heures;\n }", "public Department FindById(Department d) {\n\t\treturn ddi.FindById(d);\n\t}", "public final Integer getAvgSalary() {\n return avgSalary;\n }", "public int getStaffID() {\r\n\t\treturn staffID;\r\n\t}", "public void setDepartmentId (java.lang.String departmentId) {\r\n\t\tthis.departmentId = departmentId;\r\n\t}", "public int employeeSalary(String employeeName) {\n\n int actualSalaryOfEmployee = 0;\n\n try {\n Connection conn = ConnectToSqlDB.connectToSqlDatabase();\n String query = \"SELECT * FROM employees;\";\n\n ConnectToSqlDB.statement = conn.createStatement();\n\n ConnectToSqlDB.resultSet = ConnectToSqlDB.statement.executeQuery(query);\n\n while (ConnectToSqlDB.resultSet.next()) {\n int idField = ConnectToSqlDB.resultSet.getInt(\"employee_id\");\n String nameField = ConnectToSqlDB.resultSet.getString(\"employee_name\");\n String salaryField = ConnectToSqlDB.resultSet.getString(\"employee_salary\");\n String departmentField = ConnectToSqlDB.resultSet.getString(\"department\");\n\n if (nameField.equals(employeeName)) {\n actualSalaryOfEmployee = Integer.valueOf(salaryField);\n }\n }\n\n } catch (SQLException e) {\n e.printStackTrace();\n }\n catch (IOException e) {\n e.printStackTrace();\n }\n catch (ClassNotFoundException e) {\n e.printStackTrace();\n }\n System.out.print(\"The salary earned by this employee is: \");\n return actualSalaryOfEmployee;\n\n }", "public void setDepartment(Department department) {\n this.department = department;\n }", "@Override\n\tpublic Optional<Department> findDepartmentById(Integer id) {\n\t\treturn departmentRepository.findById(id);\n\t}", "public static void delete(String id, String department) {\r\n\t\tarrays = ReadingAndWritingInFile.readObject(department.concat(\"Department.txt\"));\r\n\t\taverageandidofemployees = (ArrayList<ArrayList<Double>>) arrays[0];\r\n\t\tdegreespersemester = (ArrayList<ArrayList<Double>>) arrays[1];\r\n\t\tidperemployee = (ArrayList<Double>) arrays[2];\r\n\t\tfor (int i = 0; i < averageandidofemployees.size(); i++) {\r\n\t\t\tif (averageandidofemployees.get(i).get(1) == Double.parseDouble(id)) {\r\n\t\t\t\taverageandidofemployees.remove(i);\r\n\t\t\t\tbreak;\r\n\t\t\t}\r\n\t\t}\r\n\t\tReadingAndWritingInFile.writeObject(department.concat(\"Department.txt\"), averageandidofemployees,\r\n\t\t\t\tdegreespersemester, idperemployee);\r\n\t}", "public void setDepartment(Department d) {\r\n department = d;\r\n }", "@Override\r\n\tpublic double annualSalary() {\r\n\t\tdouble baseSalary;\r\n\t\tdouble annualSalary;\r\n\t\tdouble annualCommissionMax = Math.min((annualSales * .02), 20000.0);\r\n\t\tbaseSalary = (getSalaryMonth() * 12);\r\n\t\tannualSalary = baseSalary + annualCommissionMax;\r\n\t\r\n\t\treturn annualSalary;\r\n\t}" ]	[ "0.66764444", "0.6475588", "0.6207633", "0.6190432", "0.6076847", "0.6065566", "0.6041147", "0.6036016", "0.6008937", "0.59888184", "0.59423536", "0.59342223", "0.5913939", "0.59092027", "0.58629453", "0.5853475", "0.58464116", "0.5838257", "0.5832991", "0.5827118", "0.58183086", "0.5772481", "0.5772481", "0.5772481", "0.5747428", "0.5742727", "0.5742727", "0.56819713", "0.5673786", "0.56574404", "0.5653565", "0.564176", "0.564176", "0.5593543", "0.5592946", "0.5592946", "0.5592946", "0.5592473", "0.5592473", "0.5589084", "0.55882925", "0.5546632", "0.55456066", "0.5523894", "0.5516354", "0.55088794", "0.55086595", "0.55086595", "0.55086595", "0.55009705", "0.54927415", "0.5489017", "0.54802144", "0.547179", "0.54697967", "0.54697967", "0.54697967", "0.5464375", "0.5457265", "0.5454465", "0.5454465", "0.54454577", "0.54388714", "0.54365337", "0.5435932", "0.543375", "0.5429532", "0.54104376", "0.54104376", "0.54104376", "0.540103", "0.5398134", "0.539133", "0.5388252", "0.5384298", "0.53725415", "0.5365888", "0.5365888", "0.53457534", "0.53457534", "0.53365904", "0.5334834", "0.53006744", "0.52826416", "0.5254072", "0.5253116", "0.5231388", "0.52306026", "0.52291995", "0.5228252", "0.5226518", "0.52231336", "0.52151316", "0.5212935", "0.5212505", "0.52089125", "0.51910126", "0.5179351", "0.5170676", "0.5164191" ]	0.7687856	0

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